Oracle vs SAP Which ERP Better Supports FinTech Operations and Risk Management (1)

Oracle vs SAP: Which ERP Better Supports FinTech Operations and Risk Management?

The FinTech industry no longer resembles the back-office financial department from which it has evolved. For example, by lunchtime, a medium-sized digital lender may already have conducted real-time payments in half a dozen jurisdictions, screened all transactions for fraud, and prepared for an audit.

Requirements for compliance become more complex every day, payment ecosystems become more complicated in their integrations, and boards require up-to-date reporting instead of last quarter’s.

Throwing fraud prevention and operational risks into the mix, one can understand why FinTech leaders are rethinking the underlying platform. The ERP system a company selects is not just an accounting application anymore, but also something that makes sure that risks are detected early rather than too late.

That leads to the main question of this article: when compliance, scalability, and risk management are imperative conditions, should a FinTech company use Oracle or SAP?

What Modern FinTech Firms Need From an ERP System

FinTechs require more from their ERP system compared to other companies, and the primary reason why is the extremely high price of failing when it comes to managing risk. An ERP system designed for FinTech needs to be able to provide:

 

  • Visibility in real time regarding finances in all entities and products
  • Compliance processes automated in such a way that no one needs to remember to manually check anything
  • Risk management that identifies risks in real time rather than quarterly
  • Accounting for multi-entities in case of operations in multiple locations or licensing structure
  • Cloud scalability that can withstand sudden spikes in transactions without requiring any restructuring
  • Analytics powered by AI to uncover things that might go unnoticed by human reviewers

 

  • Strong security and governance controls in order to satisfy both internal auditors and regulations
  • Integration with the payment ecosystem, as all FinTechs are dependent on it.

 

This change in perspective is significant. As soon as the ERP is required to be proactive about risk instead of passive about recording the transaction, the comparison between Oracle and SAP will not be about functionality but about their behavior in a regulatory environment.

Oracle ERP Overview

What Is Oracle ERP?

Oracle Cloud ERP, otherwise known as Oracle Fusion Cloud ERP, comprises Financial Management, Risk Management Cloud, and Enterprise Performance Management under one roof. According to Oracle, more than 11,000 companies in virtually all industries have already adopted Oracle Fusion Cloud ERP, with a suite of embedded AI capabilities covering finance, procurement, and operations.

Oracle strengths for FinTech

  • Oracle Cloud ERP architecture is heavily skewed toward automation and real-time processing:
  • Real-time analytics powered by Oracle in-memory database technology
  • Automation via AI, featuring automated creation of narrative reports and cash forecasts
  • Risk management features integrated with Oracle Risk Management Cloud, like segregation-of-duty analysis identifying conflicting roles, for example, when one person has the ability to set up vendors and pay out to them
  • Continuous compliance monitoring rather than periodic, manual control testing
  • Cutting-edge cloud computing tailored for maximum performance and security

 

For a digital payments platform handling thousands of transactions per minute, this kind of architecture becomes an essential requirement.

SAP Overview

What Is SAP?

The core offering from SAP includes the SAP S/4HANA Cloud product along with SAP Financial Management and SAP GRC Suite.

Strengths of SAP for FinTech

This is typically where SAP shines, especially in more complex and multientity governed organizations:

 

  • High transaction processing performance thanks to the in-memory database of HANA – an area of strength for SAP historically
  • Enterprise-level integration via SAP Business Technology Platform and huge partner network
  • Compliance tools with GRC modules focusing on segregation of duties enforcement and continuous control management
  • Analytics capabilities via SAP Analytics Cloud and integrated Fiori dashboards
  • Large implementation partner ecosystem and industry-specific content available

 

If there is a need to comply with different regulation frameworks at the same time, for example, for lending platforms or larger banks, then this governance capability may be just right.

Risk Management Comparison: Oracle vs SAP

In view of the centrality of risk management within the requirements of FinTech firms, an in-depth look into both platforms is in order.

Oracle Risk Management Capabilities

Robust Access Controls:  Oracle Risk Management Cloud constantly compares roles assigned to users against configurable rules to detect segregation of duties problems immediately as opposed to waiting for the next auditing cycle.

 

Risk Monitoring and Continuous Auditing: Transactions in the platform are monitored for suspicious activity, and continuous auditing is conducted in place of the sampling done by traditional systems.

 

Control Embedding: Transactions have workflow and policy monitoring integrated within them so that any breach is detected immediately.

 

Artificial Intelligence Enabled: Predictive risk analysis and anomaly detection have been increasingly enabled by the use of artificial intelligence conversational assistants which help to query the embedded AI capabilities of Oracle.

SAP Risk Management Capabilities

GRC Suite: The SAP GRC solution integrates Access Control, Process Control, and Risk Management components within the same environment for end-to-end visibility on risks across the entire company through one pane of glass.

Compliance Management: The SAP compliance solution is designed based on named regulations, where automated processes are set up and scheduled to execute periodically, while detected irregularities are sent straight into remediation workflows.

 

Fraud Detection: Leveraging the in-memory processing of HANA database, SAP can perform real-time monitoring of high-throughput transactions, thus transforming static batch processing checks into risk indicators.

 

Risk Analytics:  Risk scoring and scenario planning can be enhanced due to the capability of the HANA database to perform large volumes without the need for lengthy batch processing required by the previous generation of GRC solutions.

The bottom line is that the difference might come down to the degree of automation: while SAP GRC solution is more comprehensive for formal governance structures, Oracle takes the lead when it comes to AI-powered conversation risk analysis within the finance workflows.

Compliance and Regulatory Readiness

The regulations faced by FinTech enterprises are more numerous than those of practically any other industry, making this part of the paper quite significant.

 

Examples of regulations applicable to FinTech firms: SOX, GDPR, PCI DSS, AML, KYC, and IFRS.

How Oracle Supports Compliance

Oracle’s compliance process is based on constant monitoring as opposed to periodic review, along with automation of controls which self-document and validate themselves. Dashboard for compliance integrates all such activities into one, providing visibility of controls’ health status in real time as opposed to quarterly reporting.

How SAP Supports Compliance

SAP relies upon governance procedures based on formal processes embedded within S/4HANA. The governance procedures have well-established audit trails which follow back decisions made in the context of compliance back to the originating transaction. Regulated reports are generated directly from the transaction without manual reconciliation of compliance.

AI, Automation, and Predictive Intelligence

Oracle

The company’s AI investments are particularly apparent through workflows that apply specifically to finance: close processes that use AI to speed up the process of closing the books, automated reconciliation that decreases the need for manual matching, and smart forecasting that uses both past and present data.

SAP

The methodology of SAP uses intelligent process automation which involves machine learning across all S/4HANA and allows identifying any strange behavior regarding payments or spotting any fraud cases. This approach is complemented by predictive financial planning that utilizes Fiori dashboards to help with understanding risks.

Cloud Infrastructure and Scalability

Oracle Advantage

The Oracle cloud story is all about Oracle Cloud Infrastructure, which is built on the foundation of high performance in-memory databases and a security-first platform. This approach usually appeals to businesses that prefer their infrastructure to be developed for speed and artificial intelligence processing.

SAP Advantage

The competitive strength of SAP is due to its Business Technology Platform and the extent of its deployment footprint worldwide. For businesses which are working across multiple countries and have strong local compliance regulations, the certified partner ecosystem and compliance content already available at SAP will be an added advantage.

Oracle vs SAP for Different FinTech Segments

Various segments of the FinTech industry are more inclined towards different platforms, primarily depending on the type of risks that dominate their respective businesses.

  • Digital Payment Companies – Oracle is recommended for them as real-time transaction visibility and automation are key for this segment.
  • Lending Platforms – SAP is recommended for these lending businesses due to their complex risk governance, which is where SAP has experience with its GRC solution.
  • InsurTech companies – Oracle/SAP, depending on the existing technology ecosystem and compliance needs of various insurance lines of coverage.
  • Neobanks & Digital Banks – Oracle is recommended as cloud-native capabilities and automation suit them best due to their digitally-led operating model.

Total Cost of Ownership (TCO)

Cost is one of the most frequently searched for issues related to both platforms. Several key determinants make up the total cost of ownership of the platform: licensing costs, service integration, customizations, maintenance, training, and ROI calculated based on closed cycle improvements and decreased manual effort.

 

Note: TCO greatly differs from one company to another depending on the company size, number of integration points needed, and complexity of compliance rules in the organization. Both platforms do not have a set price that would apply to all FinTech companies.

Migration Considerations

When Oracle May Be the Better Choice

  • Organizations with cloud first and little legacy infrastructure to move
  • FinTech startups growing at an accelerated pace
  • Finance departments using AI and wanting predictive capabilities built-in
  • Firms that have ongoing projects for modern infrastructure

When SAP May Be the Better Choice

  • Firms with complicated organizational structure and systems already in place
  • Organizations dealing with complex governance in several regulatory frameworks
  • Firms with investment in the SAP eco-system
  • Firms operating global compliance operations across many nations

Real-World Evaluation Checklist

  1. What are the regulatory requirements that need to be met, and where?
  2. What level of complexity exists in your current risk management processes?
  3. Do you require real-time analysis, or is periodic reporting adequate?
  4. How many entities/ subsidiaries do you have that need to be managed by the same system?
  5.  What integrations do you require, especially in relation to existing payment rails?
  6. At what speed does the ERP need to grow as the volume of transactions increases?

Final Verdict: Oracle vs SAP for FinTech Risk Management

Choose Oracle If

  • Cloud innovation is favored over proven enterprise practice
  • Automation driven by artificial intelligence is required within finance processes
  • Financial transparency in real time is key to running your business
  • Scalability is a requirement going forward

Choose SAP If

  • The need for mature and comprehensive enterprise governance is essential.
  • Managing complexity in compliance management is key to your operations.
  • Your organization is already working within the SAP landscape.
  • Risk and Audit are more important than iteration.

Conclusion

Indeed, both Oracle and SAP boast some truly impressive ERP functionality for FinTech businesses, with no bad choice of the two as such. Oracle tends to be particularly strong at cloud-based finance automation and AI-enabled insight, while SAP usually wins with its enterprise-grade governance and comprehensive risk and compliance tools. The deciding factor here is going to be your specific regulatory landscape and where your business is headed.

For those still trying to decide which platform is best suited for their FinTech operations, LogiChannel’s technographic data may help you see which ERP solutions are in use by similar financial services firms.

Top Fortune 500 Companies Using Microsoft Dynamics 365 in 2026

Top Fortune 500 Companies Using Microsoft Dynamics 365 in 2026

The market for enterprise technology is one of the most highly competitive in the entire world. The vendors fight over the next large contract, and the businesses that sell into this sphere have equally fierce competition for the next qualified lead.

However, under all of this competition lies an equally significant issue: finding out exactly which enterprises use what platform. It is difficult to identify potential clients regardless of the industry. But it is especially challenging to do when working in the enterprise technology sector, where many businesses prefer to keep private information regarding their tech stack.

This is where a data-driven approach plays a role. At LogiChannel, we have a great deal of experience with technographic intelligence to help B2B sales and marketing professionals find out who uses what software in large quantities.

Today, in this blog, we will discuss Microsoft Dynamics 365. We will consider the features of this tool, the reasons why enterprises choose this software, its popularity among organizations, and the famous companies that are confirmed to use it now. If you want to get more information than in a few examples, feel free to explore our Microsoft Dynamics 365 Users List.

Understanding Microsoft Dynamics 365

However, the age of digital transformation can be considered something from the past, as it is the norm nowadays for any business.

Companies in practically all industries are switching to integrated platforms, where sales, finance, operations, and customer service come together into one united picture of a business.

Such a trend has been the driving force behind the boom in ERP and CRM platforms. Organizations are no longer satisfied with disjointed spreadsheets, old-fashioned databases, and other solutions that only fragment their operations. Instead, they look for a single platform that will give a complete picture of what is going on in a company at any time.

One of such systems that have proven themselves successfully is Microsoft Dynamics 365. This system is a native ERP and CRM platform, which gains popularity among various types of organizations at a very fast rate due to its integration with such common programs as Microsoft 365, Azure, and Power BI.

What is Microsoft Dynamics 365

Microsoft Dynamics 365 is an intelligence suite of business applications developed by Microsoft.

This bundle integrates CRM and ERP into one modular cloud-based platform.

Traditional systems used,

Unlike traditional systems that lock businesses into their system and do not offer flexibility in choosing applications, Dynamics 365 allows you to choose the applications you need first, such as Sales or Customer Service, and add new modules like Finance, Supply Chain Management, or Field Service, depending on your growth.

The software is developed using various products offered by Microsoft, such as Dynamics AX, Dynamics NAV, and Dynamics CRM, which have been combined to come up with Dynamics 365. It is regarded as one of the artificial intelligence platforms that compete with other major players in the market like Salesforce, SAP, Oracle, and NetSuite.

With knowledge about what Microsoft Dynamics 365 is, it is now important to understand why the application has become so popular among businesses.

Reasons why companies opt for Microsoft Dynamics 365

Here are some of the reasons why Dynamics 365 is favored over other similar systems.

1) Native Microsoft Integration

Those organizations which have worked on Microsoft 365, Microsoft Teams, and Azure will find that Dynamics 365 is an extra feature which is not available alone. It is very easy to perform data exchange from Outlook, Excel, Power BI, and Dynamics 365 as compared to when there is integration with some third-party system.

2) Scalability

Businesses may use just one application out of Dynamics 365, such as Dynamics 365 Sales, and then move on to using Finance, Supply Chain Management, or Human Resources. This makes it very favorable for companies of all sizes, from small to enterprise size.

3) Combines ERP and CRM capabilities

Many vendors either offer only a Customer Relationship Management tool or a business management tool (ERP). Dynamics 365 combines both.

4) AI and Analytical Capabilities Built Into the Software

Through its built-in Copilot capability, Dynamics 365 is becoming more and more of an AI-driven platform instead of a traditional record of business systems. Sales departments will have deal insights, finance departments will have support for forecasting, and customer service departments will receive support for case summarization without ever having to leave the software.

5) Comprehensive Functionality Range

Dynamics 365 offers a vast selection of business capabilities that include the following:

Sales & Marketing

  • Lead and opportunity management
  • Sales forecasting
  • Campaigns and marketing automation

Customer Service

  • Case management
  • Omnichannel
  • Field service management

Finance & Operations

  • Financial management and reporting
  • Inventory management and supply chain
  • Project management

Analytics & AI

  • Integration with Power BI
  • Insights provided by Copilot
  • Forecasting

Given such functional variety, it might be reasonable to ask about the success of the software itself.

How successful is Microsoft Dynamics 365

It can be seen from these figures that momentum is clearly established. The world Dynamics 365 and Microsoft Dynamics market will grow from about $11.37 billion in 2025 to $12.71 billion in 2026 and further throughout the decade, driven by rising adoption of native cloud ERP and CRM systems among organizations.

Specifically, on the CRM front, Dynamics 365 has carved out a niche within an increasingly competitive landscape. According to recent industry tracking, Microsoft’s CRM solution enjoys about 5.2% market share with a year-over-year revenue growth of 23% in the last FY25 period, positioning the product in the tier immediately following Salesforce. On the ERP side, third-party studies have shown that Microsoft Dynamics had attracted more than 61,805 customers who use Microsoft Dynamics as an ERP solution in the world as of 2026, with 47% of those customers located in the US.

The enterprise adoption rate deserves mention too. The independent studies done by technology usage reveal that about 20% of the customers of Microsoft Dynamics 365 are enterprises that have more than 1,000 people, while 13% have more than a $1 billion revenue. 

This might be a less enterprise adoption rate than what its competitors would have you believe, but it is still a substantial one for enterprises that use the software for their critical activities.

One thing is for sure – Microsoft Dynamics 365 is not just a specialized software. Some of its users are retailers, manufacturers, airlines, financial institutions, and consumer goods enterprises, many of which are globally recognized. Some of them are:

Microsoft Dynamics 365 is an intelligence suite of business applications developed by Microsoft.

This bundle integrates CRM and ERP into one modular cloud-based platform.

Traditional systems used,

Unlike traditional systems that lock businesses into their system and do not offer flexibility in choosing applications, Dynamics 365 allows you to choose the applications you need first, such as Sales or Customer Service, and add new modules like Finance, Supply Chain Management, or Field Service, depending on your growth.

The software is developed using various products offered by Microsoft, such as Dynamics AX, Dynamics NAV, and Dynamics CRM, which have been combined to come up with Dynamics 365. It is regarded as one of the artificial intelligence platforms that compete with other major players in the market like Salesforce, SAP, Oracle, and NetSuite.

With knowledge about what Microsoft Dynamics 365 is, it is now important to understand why the application has become so popular among businesses.

Top Companies Using Microsoft Dynamics 365 in 2026

Not all major businesses document their entire stack of software components; this is why such documentation becomes particularly relevant. The following businesses have been positively identified as being Dynamics 365 customers through Microsoft customer success stories and other publicly available sources.

Company NameIndustryHeadquartersRevenue(approx.)Employees (approx.)
The Coca-Cola CompanyFood & BeverageAtlanta,GA, USA$47.06B47,857
Mercedes-Benz GroupAutomotiveStuttgart, Germany$168.3B166,000
HEINEKENFood & BeverageAmsterdam, Netherlands$30B85,000
T-Mobile USTelecommunicationsBellevue, WA, USA$81.40B92,873
Rockwell AutomationIndustrial AutomationMilwaukee, WI, USA$8.5B28,000
BNY MellonFinancial ServicesNew York City, NY, USA$18B50,000
Siemens Smart InfrastructureIndustrial TechnologyMunich, Germany$93 B10,000
Campari GroupBeveragesMilan, Italy$3.2B4,500
Caesars EntertainmentHospitality & GamingReno, NV, USA$11.3B50,000
HP Inc.Commercial Real EstateChicago, IL, USA$53B58,000
C.H. RobinsonLogisticsEden Prairie, MN, USA$17B17,000
L'OréalPersonal CareClichy, France$50.48B89,945
SandvikIndustrial ManufacturingStockholm, Sweden$11B40,000
JLL (Jones Lang LaSalle)Commercial Real EstateChicago,IL,USA$23B83,000
Dr. MartensFashion & ApparelLondon, UK$0.95B4,000

The revenue and number of employees mentioned above are estimates and have been taken from recent annual filings and reports by the companies themselves; they do change year on year and are based on currency reporting.

Looking for a more detailed user base of Microsoft Dynamics 365 Customers?

Discover Microsoft Dynamics 365 Customers List

How Are These Companies Using Microsoft Dynamics 365

A variety of businesses ranging from those in the automotive industry to hospitality utilize the Microsoft Dynamics 365 platform.  The following is an example of how some organizations are making use of Microsoft.

Food & Beverage Industry

One organization that has taken its partnership with Microsoft a step further is the Coca-Cola Company, which has gone on to implement Dynamics 365, among other software such as Power BI, Microsoft 365, and Azure, into its cloud and AI transformation program announced in 2024. Its numerous separate bottling partners, including those from Albania and India, are already using Dynamics 365 Finance and Supply Chain Management to automate the process of inventory, billing, and order management.

The Coca-Cola Company

A number of food and beverage organizations have implemented the Dynamics 365 platform because of the complicated nature of their supply chain processes, starting from bottling up to customer-oriented marketing efforts.

HEINEKEN

HEINEKEN utilized Microsoft Dynamics CRM and Dynamics 365 in the context of their extensive Microsoft ecosystem that consists of Azure, Power Platform, and Microsoft 365. The company created thousands of custom applications leveraging the mentioned technologies in order to provide such business capabilities as brewery floor safety and customer engagement. It reflects HEINEKEN’s goal of becoming “the best-connected brewer.”

Campari Group

The Campari Group has made use of Dynamics 365 Customer Insights as well as Dynamics 365 Marketing solutions for developing a customer data platform enabling the spirits manufacturer to make use of AI-driven suggestions and orchestrate personal experiences of customers in real time.

Automotive Industry

Car makers create long-term relationships with customers through regular services, financing, and aftermarket selling. In this regard, connected CRM and field service solutions are particularly useful for automotive companies.

Mercedes-Benz

The Mercedes-Benz Company uses Dynamics 365 Remote Assist technology in combination with the HoloLens 2 mixed reality solution to enable service engineers to see 3D images of vehicle components in real-time. Therefore, experts from different locations can work together to complete the repair simultaneously.

Telecommunications Industry

In the telecommunications industry, quick and reliable customer support is an absolute must, and Dynamics 365 offers excellent customer service tools that are geared up to process numerous calls.

T-Mobile US

The use of Dynamics 365 for Customer Service by T-Mobile US led to the consolidation of customer data from various points of contact in a single location. Personalization of assistance offered to customers and enhanced self-service were some of the factors that led to the decrease in call volumes through this process.

Industrial & Manufacturing Sector

Dynamics 365 provides efficient software solutions for manufacturers who require robust functionalities related to the supply chain management, finance, and field services. consolidation of customer data from various points of contact in a single location. Personalization of assistance offered to customers and enhanced self-service were some of the factors that led to the decrease in call volumes through this process.

Rockwell Automation

Rockwell Automation is an industrial automation company in the Fortune 500. It implemented Dynamics 365 Sales because of the need to provide better support for its international sales force of 2,800 people consisting of sellers, managers, and subject matter experts from over 100 countries. Among many solutions evaluated, including SAP, Salesforce, and Microsoft, Rockwell Automation selected Dynamics 365 due to its mobile cloud-based platform.

Siemens Smart Infrastructure

Siemens Smart Infrastructure uses Dynamics 365 Field Service for equipping field personnel with all required customer context in order to ensure that the representative will be prepared for the visit rather than facing any unpleasant surprises when arriving at the location.

Sandvik

Sandvik, which is a Swedish firm specializing in industrial engineering, deployed Dynamics 365 for speeding up the financial close process and automating the reconciliation process in the finance department.

Technology & Hardware Industry

Hardware manufacturers dealing with massive customer support require AI-driven customer service today.

HP Inc.

HP processes more than 600 million technical support inquiries annually. To cope with the workload, HP created a conversational virtual support representative based on Dynamics 365 AI customer service solution, enabling customers to self-diagnose their problems, while at the same time making support representatives aware of solutions immediately. According to the company, digital technology resolves a greater number of cases compared to prior to AI implementation.

Commercial Real Estate Industry

The industry consists of companies working with prolonged sales cycles and geographically dispersed teams, both of which require centralized CRM solutions.

JLL (Jones Lang LaSalle)

JLL – Fortune 500 commercial real estate and investment management company – migrated to Dynamics 365 from the outdated Microsoft Dynamics CRM to make the system more flexible and easy to adopt among their 83,000+ employees and almost 300 offices worldwide.

Logistics Industry

Accuracy and timeliness of information are critical for logistics companies working with complex multi-vendor shipments. This is when the CRM and operations capabilities of Dynamics 365 become relevant.

C.H. Robinson

C.H. Robinson, one of the biggest third-party logistics companies in the world, is known to be using Dynamics 365 for their sales and customer relationships processes in their global freight and logistics network.

Personal Care & Consumer Goods Industry

International personal care & consumer goods companies should have solutions able to handle operations and customer relationships equally well.

L'Oréal

Using Dynamics 365 technology, L’Oréal has allowed its manufacturing experts to install, upgrade, and solve any issues that arise in regard to their production equipment from remote locations all over the globe.

Hospitality & Gaming Industry

Hospitality companies use consumer information to provide a customized experience through the properties that they offer, their loyalty program, and their entertainment.

Caesars Entertainment

Caesars Entertainment uses the services of Microsoft Cloud (Dynamics 365) to be able to provide an even more personalized experience as well as entertainment for its guests at its casinos and resorts.

Fashion & Apparel Industry

When fashion companies are conducting global wholesale and direct-to-consumer activities, they may require ERP and CRM software that would be easily scaled to many different markets.

Dr. Martens

Dr. Martens is a known user of Dynamics 365, which allows the company to handle its direct-to-consumer and wholesale retail businesses on a global level.

Companies Using a Different ERP & CRM Platform

It’s true that not all companies go for Dynamics 365, and that’s something worth mentioning right off the bat. The competition in terms of enterprise software is quite significant, and there are several major competitors.

Firstly, Salesforce is still one of the most widely used CRM platforms worldwide, thanks to its huge library of third-party apps on its AppExchange and extensive customization possibilities.

Then there’s SAP, which leads in terms of big enterprises with lots of processes, such as manufacturers and logisticians, because of its ERP depth and extensive experience configuring software for specific industries.

Another choice is Oracle for those companies that value integration of ERP, databases, and cloud services provided by one vendor.

For rapidly growing mid-market companies that prefer cloud ERP without having to deal with complex implementations of old systems, there’s NetSuite, an Oracle product.

Finally, HubSpot is good for smaller firms with a preference for an easier learning curve and lower initial cost compared to enterprise CRM systems.

In essence, there are only a few considerations when choosing a platform:

  • Costs and total cost of ownership
  • Customization requirements and needs, especially industry-specific work processes
  • Scalability as the company expands into other markets or other industries
  • The existing technological base, especially for companies entrenched within Microsoft or Salesforce technology

This is precisely why technographic information becomes crucial. It will help you understand not only if you can sell something but also how.

Conclusion

The popularity of Microsoft Dynamics 365 in the market has been gained because of its combination of the CRM and ERP solutions into one package, along with extensive integration of the platform into the Microsoft ecosystem and increasing range of artificial intelligence features provided by Copilot. 

These companies, ranging from the bottlers of Coca-Cola to the sales forces of Rockwell Automation, are a good illustration of the broad usage of Microsoft Dynamics 365 in many industries and business functions.

When addressing decision-makers from such companies in the B2B field, technographic data becomes an integral part of the process. Technographic data allows a company to address specific needs of its clients. That is why it is important to have a verified list of companies using Microsoft Dynamics 365 at hand.

For those who want to go further than just a few samples of publicly available information, it is recommended to check out the Microsoft Dynamics 365 Customers List provided by LogiChannel to see the real verified contact information of those organizations.

FAQs of Companies Using Microsoft Dynamics 365

There is no exact number due to the variations in sources and definitions, but estimates indicate that tens of thousands of companies are already using Microsoft Dynamics 365 as an enterprise resource planning solution alone, while tens of thousands more have adopted its customer relationship management solutions.

Some of those that can be named for sure are Rockwell Automation, JLL, The Coca-Cola Company, Mercedes-Benz, T-Mobile US, BNY Mellon, HP Inc., and L’Oréal. It should be noted that there are many large enterprises out there that are not revealing all of their tech stack publicly.

It is not appropriate to say that either of them is “better”. The market share of Salesforce is much higher than that of Dynamics 365, and Salesforce has a richer app ecosystem. Dynamics 365 is generally preferred by companies who use Microsoft 365, Azure and Power BI as well as by those who need both CRM and ERP integrated in one single platform.

The most commonly used sectors include manufacturing, IT & technology services, financial services, retail and consumer goods mainly due to their utilization of the platform in terms of its integrated supply chain, finance and customer experience capabilities.

  • Stripe
  • Adyen
  • Payoneer
  • SoFi
  • Robinhood
  • Klarna
  • Affirm
  • Plaid
  • Marqeta
  • Brex
How AI Is Reshaping the Future of B2B Marketing in 2026 and Beyond

How AI Is Reshaping the Future of B2B Marketing in 2026 and Beyond

A few years back, “AI in marketing” was basically an automation bot slapped on top of a website and one or two teams using automated subject lines. Those days are done. Drop by just about any B2B marketing team and you will see that AI is now a part of their day-to-day operations: scoring leads before even reaching out to them for the first time, writing the first draft of the campaign, and identifying which accounts have purchase intent even before they fill out a form.

It’s happened much quicker than anyone thought. The recent research from the industry shows that there’s a 96% use of AI technology in B2B marketing operations with half the respondents stating that it’s the only trend they are looking forward to in this year.

This is partly because B2B marketing plays according to old rules can no longer accommodate the buying behavior of the present age. In addition to having more people involved in decision-making and research being done even before any contact with the sales team, the buyers want an equally instant and relevant experience that they have elsewhere online.

The purpose of this article is to illustrate how the present day B2B marketing is impacted by AI, why its importance cannot be understated at the present time even compared to two years ago, eight examples how AI is changing the way B2B marketing works and what businesses need to do about it.

What Is AI in B2B Marketing

In terms of using AI in B2B marketing, it is the application of machine intelligence, from pattern recognition to generative techniques, for decision making and automating content creation and interactions during the course of B2B marketing.

In fact, one should distinguish between basic automation and AI since both of them are often mixed up. While automation implies that some process is performed according to some rule set by humans e.g., when someone fills out a form, he/she gets an email. AI implies learning and decision making based on patterns recognized by AI systems.

These few technologies behind the curtain are responsible for all of these:

Machine Learning (ML):  algorithms which learn from historic data in order to predict outcomes like which leads are likely to become clients.

Natural Language Processing (NLP):  the technology which enables computers to both understand and produce human languages  from chatbots to content generators.

Predictive Analytics:  usage of historic data in order to predict future actions, revenues, or even campaigns’ results.

Generative AI:  programs which produce new content by generating a piece of text after getting an input like prompt or brief.

Conversational AI:  chat or voice-based system which can actually have a conversation with a prospect instead of simply following a decision tree.

None of the above is used separately in a modern-day marketing stack. An ABM campaign might be utilizing predictive analytics for identifying the targeted account, NLP for personalizing the message, and conversational AI for qualification of the lead after they visited the website.

Why AI Matters More Than Ever in B2B Marketing

A number of unique challenges associated with B2B marketing have made it inherently more difficult compared to B2C marketing, and these particular difficulties happen to be the areas where artificial intelligence is most effective.

Longer sales cycles: Long sales cycles for enterprise-level deals could last for months and maintaining the buyer’s interest through this period required much effort. AI is helping companies shrink sales cycles, which in recent studies shortened from 11.3 months to 10.1 months.

Too many decision makers to keep track of: A modern B2B transaction involves six to ten people from different departments whose interests need to be taken into account.

Too much information and too little attention: More and more B2B buyers are researching potential providers by means of AI. In some studies, up to 30 percent of B2B buyers start their research by asking an AI chat for help. Brands therefore will have to consider how they can be visible in such AI responses, and not only in conventional search results.

Expectations have increased dramatically: People working with highly personalized consumer applications are carrying the expectation of that kind of experience into the workplace. Marketing that is not personalized at all anymore is a warning sign rather than anything else.

Marketing departments are overstretched: Marketing budgets have not kept pace with marketing duties, and AI is one of the few means left that allows you to accomplish more without increasing the number of employees.

The data clearly illustrate the extent to which this phenomenon has been gaining traction. According to research conducted by ON24, 91% of high-performance B2B enterprises plan to launch more initiatives in the domain of AI, and 75% of organizations utilizing AI extensively reported a tangible increase in productivity.

At the same time, firms utilizing personalized and content creation tools based on artificial intelligence technology generate substantially higher revenues; one can find estimates suggesting that AI-driven content writing generates ROI around 3.2x, and personalization tools 2.7x. In terms of conversions, organizations relying on predictive lead scoring see the conversion rate from lead to opportunity increased by up to 38%.

In simple terms, AI addresses problems that B2B marketing has been struggling with for years.

8 Ways AI Is Transforming B2B Marketing

1. Hyper-Personalized Customer Experiences

Whereas personalization once meant simply putting someone’s first name in an email subject line, advances in AI have significantly raised the bar on this front. Modern marketing platforms can personalize website content depending on a visitor’s industry or business size, offer personalized case studies and product pages to different visitors, and deliver personalized email journeys for individual accounts.

Consider how a company selling software could display content geared toward manufacturing companies to a visitor from one such company, and, meanwhile, content focused on compliance concerns for a visitor from a healthcare company, all without having any configuration done by a marketer beforehand.

This leads easily to account-based personalization, where whole campaigns are personalized for buying committees within target companies.

2. Smarter Lead Generation and Qualification

The issue has never been that there aren’t enough leads for most B2B organizations. It has been how to determine which of the leads are worth going after. AI predictive lead scoring solves that problem by assessing behavior patterns, firmographics and engagements and identifying which leads resemble customers who actually signed on.

The results are reflected in the numbers. Companies adopting AI-powered lead scoring have seen their conversion rate increase by an impressive 38 percent while shortening their sales cycle by some 28 percent. And it is important to realize that B2B pipelines are still losing leads at each step of the process; less than one in four leads referred from marketing to sales departments are qualified.

Impact on business: The valuable time of the sales reps is not wasted on leads that would never turn into paying customers.

3. AI-Powered Content Creation

Content is one of the most prominent areas where AI finds its applications in marketing; it helps to ideate blog posts, create outlines, write emails, create social media posts, and optimize on-page SEO.

Let’s be clear about where there are boundaries. Readers have become quite good at detecting writing done by AI, and in case they do, the vast majority of them say that it influences their perception of the brand negatively.

It is backed up by statistics, as teams that utilize both AI for drafting and human editors for polishing their material achieve significantly better results in terms of organic traffic compared to the ones publishing raw AI content with minimum editing. The point is that people don’t mind using AI for writing at all. What they dislike is generic and unprofessional content.

Pro tip: Use AI only as an assistant when creating your first drafts and structuring content, but do not forget that the subject matter expertise and original examples are what makes B2B content valuable.

4. Predictive Analytics and Forecasting

In addition to lead scoring, predictive analytics is now used in a broader range of marketing decisions, such as predicting customer behavior prior to its occurrence, revenue prediction with better accuracy, estimating how well a campaign will perform before full-scale launch, and identifying at-risk churn accounts.

Advantages include:

  • Enhanced decision-making for top management
  • More effective budget and manpower utilization
  • Reduced customer acquisition costs, because investments are made in areas showing the best potential return

5. Conversational AI and Intelligent Chatbots

Conversational AI has progressed far from the limited chatbots of a few years ago, with today’s technology being able to converse productively, engage visitors round-the-clock irrespective of their location, qualify leads by having a conversation, not through filling out rigid forms, provide instant answers, not by sending users to a ticketing queue, and even schedule appointments on behalf of representatives’ calendars.

Use cases include:

  • Chatbots for websites that qualify and route website visitors
  • Sales virtual assistants that take care of early inquiries and qualify leads prior to getting a human representative on board
  • Customer service automation that solves simple customer queries immediately, not via queue

6. Enhanced Account-Based Marketing (ABM)

ABM always made perfect sense in the realm of B2B marketing because, very often, only a few accounts are responsible for generating an overwhelming majority of revenues.

Now, thanks to AI, it has become infinitely easier to do, because it helps you identify which accounts are displaying actual intent to purchase, track intent signals from the wider web beyond just your own website visitors, personalize the message to all members of a buying committee, and forecast intent to engage with a particular campaign.

Result: Your sales and marketing people will focus on more valuable opportunities.

7. Marketing Automation at Scale

Automation has long been a feature of B2B marketing but through AI it is far more advanced. These days, automation can create and fine-tune whole workflows from real-time actions; coordinate multi-channel marketing efforts based on engagement; generate highly-targeted messages based on action; and ensure consistency in messaging across email, social media, and paid advertising channels.

Outcome: Marketers can run complex campaigns with multiple touches and no additional manual effort proportionate to the complexity. This is crucial in light of the understaffing most marketers face.

8. Real-Time Campaign Optimization

Possibly the most practically significant evolution is how quickly and efficiently campaigns can now be changed mid-way through. Artificial intelligence helps achieve A/B testing in real-time as opposed to the time-consuming sequential testing process of old, budget optimization that allocates budget towards what is proven to work, segmentation which is updated in real-time and performance tracking which catches under-performing campaigns in their tracks.

Business benefit: Teams can no longer have to wait until the end of the campaign cycle to figure out what worked but can change direction immediately.

Benefits of AI in B2B Marketing

BenefitBusiness Outcome
PersonalizationBetter customer experiences
AutomationIncreased productivity
Predictive AnalyticsBetter decisions
Lead ScoringHigher conversions
Campaign OptimizationImproved ROI
Customer InsightsStronger relationships

All of these gains have an accumulative effect. With improved knowledge of the customer, more personalization becomes possible, resulting in improved engagement data, resulting in more accurate predictive models, and so forth. The accumulative nature of the gains made through the use of artificial intelligence is one of the main reasons why early adopters continue to gain ground.

Challenges of Implementing AI in B2B Marketing

Challenges of Implementing AI in B2B Marketing

Data quality challenges:

Machine learning algorithms can’t exceed the quality of the data powering them, and in truth, most organizations’ CRM and marketing data is far messier than they care to admit. According to recent studies, a significant number of data and analytics executives feel that there is a need for a major shake-up in their company’s data strategy if any kind of progress toward AI is expected.

Recommendation: Approach data cleaning as a prerequisite project rather than a concurrent task. Clean up your CRM and marketing platform by removing duplicates and inconsistencies in fields and lack of firmographic information before applying any AI-powered scoring and personalization.

Complexity of integration:

In many companies, a collection of various tools that were not meant to integrate creates a challenge in preparing clean, integrated data for AI applications.

Recommendation: Opt for platforms that have built-in integrations if you are just getting started with AI adoption.

Skills gap:

A considerable portion of B2B businesses mention a lack of internal skills as the key barrier for implementing AI in their business, especially more advanced types such as agentic workflows.

Recommendation: Implement AI capabilities already embedded in your current CRM or marketing software before developing tailor-made solutions that require special skills to support.

Privacy and compliance issues:

Personalization powered by AI involves the use of customer data, which is subject to increasingly strict regulations.

Recommendation: Address privacy and compliance issues early when rolling out AI solutions instead of taking care of it during the end phase.

Over-reliance on automation:

When the process gets running, it may become appealing to rely fully on the power of AI and allow it to function autonomously. But any AI solution needs monitoring because the system tends to move away from its initial configuration if not monitored regularly.

A lead scoring higher than the others is not necessarily the best lead and an automated campaign that hasn’t been reviewed in months may silently underperform.

Recommendation: Make sure to have a human touch in each process driven by AI.

Future Trends of AI in B2B Marketing

There are a number of trends that seem poised to characterize this next wave:

  • Generating AI for content and campaigns will continue evolving from being able to draft individual blog posts to creating entire marketing campaigns from an initial brief.
  • Self-governing marketing AI agents will be moving beyond concept and into reality, becoming capable of planning and conducting multi-step marketing actions, rather than simply answering one prompt after another.
  • Customer journey orchestration powered by AI will become more prevalent as a way to unify and synchronize marketing, sales, and service efforts.
  • Predictive customer experience management will enable organizations to move from reactive efforts to anticipate customer actions.
  • Voice and multimodal AI will enable marketers to personalize customer interactions through voice assistants and beyond.
  • Personalization platforms will become more and more real-time oriented.

The important point is that ambition outpaces preparedness in this sector at present. The latest studies show that although a lot of business-to-business companies expect the implementation of agency AI, which would handle most of the customer interactions, less than half of them possess such strong data infrastructure as would be needed to implement their expectations into reality.

How Businesses Can Prepare for an AI-Driven Future

Preapring For An AI Driven Future
Anticipating this transition does not necessitate implementing some gigantic project from the get-go. It makes more sense to take a gradual approach than to completely redesign everything from scratch.
  1. Analyze your existing marketing process: See what really happens now, what processes take the most time, what activities are repetitive, what decisions depend solely on personal intuition, and where the bottlenecks lie.

  2. Select the repetitive activities that can be performed by AI: Lead scoring, first drafts of your content, email follow-up and chatbots’ qualification usually become the lowest-hanging fruits.

  3. Create a solid data infrastructure: The biggest mistake people make is that they overlook this very step. No matter how good your algorithm is, AI based on poor quality data will create poor quality results.

  4. Begin by running pilot projects: Select one or two use cases and implement them over a certain period of time, evaluating the results before going any further. Trying to implement AI in all processes at once is the typical reason why such projects fail.

  5. Make sure teams know how to adopt AI: The technology itself won’t change anything if people don’t know how the technology works, when to believe its results, and when not to.

    6. 6. Measure and scale the project slowly: Pay attention to real metrics, such as the rate of conversion, sales cycle duration, and revenue per lead, and not vanity metrics, such as the number of content items created. Start implementing other use cases only after you’re done with existing ones.

Conclusion

In 2026, AI has shifted from an experimental supplement to the way B2B marketing really works. It changes the way prospects are segmented and prioritized, how content is developed, how campaigns are customized to the individual level and how fast the response is to issues encountered.

None of this negates the requirement for judgment by marketers. Quite the contrary, in fact  the companies that are achieving the most through AI are those that use it to automate tasks and give their teams the chance to apply judgment in areas where AI falls short.

 It’s the organizations that have embraced the development of AI capability versus the adoption of features that will position themselves best for the future.

If your organization is considering how to increase precision in your B2B marketing and sales activities, then let us show you how LogiChannel can get you there using validated technographic and firmographic data.

Top Industries Driving ERP Modernization in 2026

10 Industries Leading ERP Modernization in 2026

ERP software has become, perhaps without its users even realizing, one of the most important choices they will make regarding technology. This software that used to be a simple inventory and payroll management tool for businesses has morphed into a backbone of the organization that makes the difference between the speed with which the business will be able to react to disruptions, changes in demand, and regulation.

The legacy ERPs, developed over fifteen or even twenty years ago, cannot be blamed for not being prepared for the challenge. These systems were created for a predictable supply chain, batch processing, and quarterly reports—all those features of business life have long since been replaced by the reality of our time.

This is why we are witnessing a revolution in ERP software at the moment, with more and more companies retiring legacy ERPs for cloud-based systems with integrated AI, automation, and advanced analytics features. The trend is not confined to any specific industry but spreads far and wide.

And which industries are driving the charge in 2026? This guide tries to provide the answers to that question.

What Is ERP Transformation?

ERP transformation is the migration of an enterprise from its old, generally on-premises ERP system to new, cloud-based platforms optimized for agility, scalability, and intelligence. It is more than an upgrade. The process usually includes standardization of processes across the organization, automation of previously manual processes, and integration of the ERP core with AI and analytics.

There are several reasons why businesses move towards such a transformation. The first one is increased operational complexity as organizations enter new markets, sales channels, and product offerings, which legacy ERPs have trouble coping with. Secondly, there is the need to implement digital transformation within an organization, which requires reconsideration of its technological infrastructure. 

The third one is the compliance needs, which become stricter in the finance and healthcare sectors as the number of regulations increases. The fourth reason is that leaders need insights about the operation of the company in real time rather than the monthly lagging reports generated by the old systems.

It doesn’t end here. There’s another trend emerging beneath everything else. Older legacy ERP systems have been tailored and built out over the past fifteen or even twenty years by different IT professionals who have left the organization already, resulting in systems which are highly customized, difficult to document, and expensive to maintain over time. 

The vendors are making it easier for enterprises to move by discontinuing support for their older on-premise ERP versions, thus creating an impetus to upgrade, which enterprises can’t really put off forever. Not only that, but there’s pressure to do so from new-age employees, as they are used to cloud-based software in other applications.

Thus, what you’re seeing is a market on the move. Approximately half of all organizations worldwide are actively investing in, upgrading, or planning to upgrade their existing ERP solutions right now, signaling the fact that this isn’t an IT-level initiative any more. This is a board-level one.

Industries Leading ERP Transformation Investments

There is variation in pace among different industries, but not for random reasons. The pressure on the following industries is unique and necessitates an ERP upgrade as opposed to leaving things as they are.

1. Manufacturing Industry

The manufacturing industry still stands out as the one responsible for most of the ERP spending. Manufacturing accounts for 47% of ERP buyers and 32% of the total market share of ERP users, positioning itself as the key industry for cloud ERP usage. It is not difficult to see why when considering the challenges faced by manufacturers, including their multilayered supply chains, complicated production planning, and inventories that need to be managed throughout all stages.

Smart factories have increased the demands on the manufacturing industry. Manufacturers are not only going digital but also integrating shop floor data, production machinery, and quality management systems with ERP systems.

Key ERP use cases in manufacturing include:

  • Production scheduling based on demand forecasting
  • Automation of procurement process by eliminating manual purchase order cycle
  • Quality management systems identifying defects before they become major

What becomes apparent is the combination of cloud-based ERP and AI-powered production planning in which ML algorithms are used to predict shortages of materials and optimal scheduling of lines.

2. Retail and E-Commerce

There are some challenges unique to retail. Omnichannel selling means that one SKU will be available in the physical store, on the company’s website, and also via the third-party platform at the same time. Maintaining seamless synchronization between inventory on all three channels and avoiding overselling or stockout at the same time is a challenging task that was simply not conceived in traditional systems designed for single-channel retailing.

What are the driving factors for retailers to adopt modern systems? There are three of them: real-time inventory management to avoid the infamous situation of “out of stock, but available online,” rapid order processing due to ERP and warehouse integration, and improving the customer experience through reliable delivery estimates.

The next trend is unified commerce, when the ERP, POS, and eCommerce solutions are based on the same data layer. Also, AI-driven demand forecasting is rapidly gaining ground, which allows retailers to predict the peak season much more accurately than through traditional spreadsheet calculations.

3. Financial Services and Banking

Reasons behind modernizing ERP systems for financial services firms differ from those of other industries, such as manufacturing and retail. First and foremost, it is compliance. Regulators demand detailed, auditable reports that cannot be provided by legacy ERP systems with manually adjusted data. Another major motive is risk management because financial firms require comprehensive exposure visibility at the corporate level in nearly real time.

Modernization aims at enhanced governance and financial visibility, as well as automating processes that help minimize the burden for finance department employees. In the future, artificial intelligence will be integrated into financial planning and reporting systems, making them an everyday tool, especially since finance professionals face increased pressure to provide forecasts before the monthly closing period.

4. Healthcare Industry

Perhaps no area will illustrate growth better than the healthcare industry. The healthcare industry has the greatest potential for growth compared to other sectors, with a predicted CAGR of 22.37% up to 2030 thanks to factors such as rising regulatory requirements, patient data management challenges, and efficiency needs.

This rate of growth is higher compared to almost all other industries and is fueled by the need for greater efficiency. Management of patient data has become increasingly complex due to consolidation of health systems and adoption of the EHR system. The already heavy burden of regulatory compliance in the industry continues to get worse. And efficiency in terms of staff and equipment allocation has become necessary due to tight margins.

Some of the benefits of ERP in the hospitals and health networks will include better workforce management, financial management in multi-facility networks, and supply chain visibility.

5. Logistics and Transportation

No other industries seem to be impacted by disruptions in their supply chains as much as logistics and transportation do. The need for fleet management, routing, and scheduling optimization, along with the consequences of global supply chain unpredictability, made logistics companies opt for ERP systems that could react immediately to situations rather than analyze them afterwards.

The results achieved through modernization of logistics companies may be boiled down to three points: real-time insight into shipments and the state of fleets; improved ability to manage expenses related to fuel, labor, and maintenance; and increased operational efficiency due to algorithmic routing and load optimization.

Technologies Accelerating ERP Transformation

However, these industries aren’t modernizing without any technological background at all—there are several basic technologies that make the entire process possible, and they deserve to be mentioned individually.

First and foremost, cloud ERP is what makes everything possible. It provides scalability that is impossible for on-premises systems, reduced cost of infrastructure due to the lack of need to have a server farm of your own, and faster implementation processes. The number of companies that use cloud ERP increased to 64% in 2024 from 44% in 2020 and does not look like it will stop growing.

Next, artificial intelligence technology changes not only where an ERP system operates but also what it can actually do. Predictive analytics, demand forecasting, and intelligent automation are now an integral part of ERP systems and are not added separately anymore. The companies that use AI-powered ERP solutions noted a 20% increase in forecast accuracy and 15% reduction in operational costs.

Data analytics provided by the ERP system allows for real-time decision-making, and business intelligence integration allows asking questions about the current state of things without waiting for reports from the finance department.

The use of automation technology, especially that of robotic process automation overlayed over ERP processes, is helping to ease the workload of personnel. The use of robotic process automation within ERP has made the process 30% more efficient and cut down the number of errors by 25%.

All of these four technological developments together have made ERP shift from being a system of record to a system of intelligence.

Common ERP Transformation Challenges

None of this would be possible without friction. The successful execution of ERP transformation initiatives can be incredibly challenging, and one should be upfront about where problems arise. Academic research suggests that ERP projects tend to overrun their budgets far too often, and the median period necessary to earn back the investment is approximately two and a half years.

Budget issues are one of the first things to be considered when implementing ERP. This software is costly, and there is also a known issue that its price may often exceed the initially stated number due to various unforeseen requirements that emerge throughout the implementation process. 

Another problem may lie in data migration, which may prove to be more complicated than initially thought, as transferring large amounts of historical data from an old system without data corruption or losses can prove to be a challenge.

Even though a system is implemented technically successfully, it may still fail in practice due to lack of employees’ interest in using the tool. In other words, staff may continue using their old ways and workarounds rather than adopting the system. 

Lastly, the integration with legacy systems might be the last straw breaking the camel’s back, especially if the tool does not feature an open API.

There are several common practices for overcoming all these obstacles.

In fact, phased implementation has emerged as the norm, since it enables the team to check each module before proceeding to the next one, thus avoiding any kind of total failure in the organization as a whole.

Future of ERP Transformation Across Industries

ChallengeCommon Mitigation
Budget overrunsPhased implementation rather than a single "big bang" rollout
Data migration riskStructured change management and early stakeholder involvemen
Employee resistance/td>Structured change management and early stakeholder involvement
System integration gapsMiddleware or API-first platforms chosen specifically for compatibility

In the coming period, there are going to be certain trends that will help define the next step towards the ERP modernization process. This includes the use of AI-native ERP platforms, meaning software built with AI at its core rather than being augmented with additional capabilities, and the development of industry-specific ERP platforms. The latter has become popular due to the fact that general-purpose platforms tend to lack the particularities of the workflow of the company working in distribution, health care, or manufacturing.

Hyperautomation, or the automation of not just single processes but whole end-to-end procedures, is becoming a more common thing every year. Moreover, the prediction of the future state rather than simple reporting on the past achievements becomes an increasingly valuable capability for modern ERPs. In the case of investments, manufacturing, retail, health care, and financial services are expected to be the top industries investing in the modernization of ERPs until the end of the decade.

The forecast predicts the market size of cloud ERP to increase from about $113.94 billion in 2026 to $202.26 billion by 2030, which provides an indication of the amount of capital that is being invested into this field.

In terms of gauging which technologies are currently used by competing firms and potential clients, the technographic information provided by LogiChannel provides an empirical means of measuring ERP technology adoption versus simply survey estimates. This is quite helpful in addition to the general market information provided.

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Conclusion

However, despite manufacturing, retail, finance, healthcare, and logistics dominating the ERP modernization agenda in 2026, each of these industries is pursuing it because of its own unique reasons. In manufacturing, it is to manage the increased complexities of the supply chain; in retail, to maintain the synchronization of inventory across various channels of sales; in financial services, to meet regulatory requirements; in healthcare, to meet regulatory requirements and to cope with huge amounts of data. Logistics, meanwhile, seeks real-time insights where before there were none.

It seems that what unites all of these industries is the view that cloud computing architecture, AI, and real-time analytics are not nice-to-have features any longer but a standard requirement for any enterprise-level software solution. As the migration is completed in the coming years, ERP modernization will likely become not a competitive edge but a necessary step to survive on the market. Those who will undertake the process earlier will get an opportunity to compete in terms of speed of operation rather than having to make adjustments later.

Companies Using Oracle ERP

Companies Using Oracle ERP: Top Enterprises, Industries, and Adoption Trends in 2026

Organizations throughout the world are increasing their investment in ERP systems so that they can optimize their operations, achieve real-time visibility of their finances, and have an infrastructure that is well-positioned for the future. Among many platforms that are facilitating this shift in current technology, perhaps the one that is most widely adopted by both large and multinational businesses is Oracle ERP Solutions.

From manufacturers in the Fortune 500 to global healthcare systems to rapidly expanding retail businesses, Oracle ERP is used by thousands of companies to execute some of their most important business functions. Companies rely on Oracle ERP for everything from financial consolidation across many subsidiaries to automating procurement processes and orchestrating their supply chain functions; thus, the Oracle ERP platform is the backbone of how enterprises conduct their businesses regardless of location or industry.

In this article, we will examine various large companies that use Oracle ERP, the industries that have the highest adoption rates; and trends relative to Oracle ERP that will start to take shape by 2026; plus we will analyze what this landscape of adoption implies for B2B marketers and technology providers selling to enterprise buyers.

What Is Oracle ERP?

The suite of applications that make up Oracle ERP was designed to be an integrated enterprise application solution to assist businesses in managing their core business processes under one single business platform. The entire business life cycle is represented with modules for financials, procurement, supply chain, project management, and the monitoring of risk and compliance. 

There are two ways Oracle provides ERP solutions to customers:

(1) the long-reigning classic on-premises Oracle ERP software that has served large companies for many years, and

(2) the new-generation Oracle Fusion Cloud ERP, which is the evolution of an organization’s technology infrastructure by providing a modern cloud-based ERP solution. Cloud-based Oracle Fusion provides real-time streaming updates, machine-based automation, and the seamless integration necessary with other systems while eliminating the high cost of supporting the on-premise system.

Core Oracle ERP Modules:

  • Financial Management: Includes areas such as general ledgers, accounts payable, accounts receivable, fixed assets, and closing finances.
  • Procurement: Encompasses supplier relationship management, sourcing, purchasing, and spend analysis. 
  • Supply Chain Management: Involves managing inventory, order management, manufacturing, and logistics. 
  • Project Management: Includes project planning, resource management, billing, and costly processes.
  • Risk Management and Compliance: Includes the use and documentation of internal controls, audits, and regulatory reporting.

Key Benefits:

Business operations that are centralized across all areas and legal entities Financial accountability and visibility in real-time Compliance with regulations and ready for audits Expandable to support growth as a global company Innovation using the Cloud through AI Machine Learning and Automation.

Oracle ERP at a Glance: Key Statistics for 2026

Oracle has a tremendous global reach with its ERP platform, and it is consistently growing because more and more companies are migrating away from older systems to new, state-of-the-art, scalable enterprise cloud applications.

MetricValue
Estimated Global Oracle ERP Customers30,000+
Countries with Oracle ERP Deployments175+
Enterprise Market Penetration25% of Fortune 500 companies
Industries Served20+
Oracle Cloud ERP Revenue Growth15-18%

Top Companies Using Oracle ERP in 2026

Oracle has a tremendous global reach with its ERP platform, and it is consistently growing because more and more companies are migrating away from older systems to new, state-of-the-art, scalable enterprise cloud applications.

Company NameIndustryHeadquarters
AT&TTelecommunicationsUSA
DeloitteProfessional ServicesUSA
FedExLogistics & Supply ChainUSA
Marriott InternationalHospitalityUSA
SiemensIndustrial ManufacturingGermany
VodafoneTelecommunicationsUK
Tata Consultancy ServicesIT ServicesIndia
Toyota Motor CorporationAutomotiveJapan
Johnson & JohnsonHealthcare & PharmaUSA
ChevronEnergyUSA

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Why Do Large Enterprises Choose Oracle ERP

There are three main reasons why Oracle has so many great features. The first one is that their ERP is designed for scalability around the globe. They support multi-entity, multi-currency, and multi-language without any excessive amount of customizations needed to create it like other competitors.

A company that operates across 40 countries will be able to consolidate all the financials, manage all the purchase orders, and provide legal and compliance reports from one instance.

The second factor would be the depth of financial management they provide. Oracle has one of the most advanced financial software suites available on the market today, providing tools/services for everything from subledger accounting to prediction of cash flow.

The third factor would be that Oracle is able to provide localized versions of their software for each country concerning their taxation system, payroll system, and other statutory reporting systems, which would make them the obvious choice for a company that is doing business in multiple countries.

Industries with the Highest Oracle ERP Adoption

Manufacturing

Manufacturing is an area of exceptional strength for Oracle’s ERP solution. Oracle delivers production planning (including bills of materials), shop floor control (including work-in-process), and inventory management across a global footprint for manufacturers worldwide. With real-time visibility into the supply chain, manufacturers can respond more rapidly to supply chain disruptions. Integrated quality management helps manufacturers maintain compliance with mandatory industry standards.

Oracle’s advanced manufacturing function has functionality that allows manufacturers to connect their production schedules directly to their purchasing and logistics functions, thus shortening lead times and increasing on-time delivery performance. The end-to-end visibility that Oracle ERP provides continues to be a primary factor in manufacturers selecting the Oracle ERP solution over other ERP solutions.

Financial Services

The banking, insurance, and asset management industries are some of the most regulated industries in the world. With robust financial reporting, risk management and regulatory compliance modules, Oracle’s ERP software directly addresses the complexities of these industries.

Oracle’s ERP product is being leveraged by many financial services firms to automate the reporting of their IFRS, GAAP and various regionally specific regulatory requirements. Additionally, its capabilities to handle thousands of different financial entities and permutations of consolidation scenarios in real time enables CFOs and their compliance teams to have confidence in operating on a larger scale.

Healthcare

Healthcare organisations such as hospitals, healthcare systems and life sciences companies have specific challenges associated with managing their budgets, procurement management and compliance with vendors. Oracle ERP gives healthcare organisations the ability to automate their accounts payable processes, manage complex procurement contracts, as well as ensure compliance of their procurement practices with regulatory requirements.

Many of the larger hospital networks have chosen to implement Oracle ERP as a replacement for their existing fragmented legacy systems which has resulted in dramatic improvements in processing time as well as substantial increases in visibility into their spending.

Retail and E-Commerce

As a retailer, you’re living in an age of omnichannel retailing, where having visibility into your inventory is crucial. In order to be successful, retailers who use Oracle ERP will have instant access to their inventory in both brick and mortar locations as well as warehouses and e-commerce fulfillment operations. 

This provides retailers with accurate forecasting of demand, reduces the number of stockouts, and streamlines order orchestration.

Additionally, Oracle ERP is integrated with Customer Data Platforms (CDPs) and e-commerce platforms, which gives the retailer a solid operational infrastructure to deliver a consistent customer experience across all channels.

Logistics and Supply Chain

Logistics companies and third-party providers use Oracle ERP to oversee warehouse operations, distribution planning and optimize transportation. Current conditions of global supply chains are such that demand fluctuation, geopolitical issues and diminishing capacity create continuous strain. 

Consequently, the need for supply chain management capabilities to Oracle ERP has reached unprecedented levels. Real-time tracking of inventory, automatic replenishment functions, and integrated carrier management allow logistics firms the option of operating more efficiently and responsively.

Why Enterprises Choose Oracle ERP Over Other ERP Platforms

Enterprise-Level Scalability

ERP by Oracle was created to handle complexity. It serves multi-entity corporations who have many legal entities, different accounting standards around the world (such as IFRS or GAAP), and a volume of transactions that Smaller Solutions would be unable to handle. When companies become larger due to mergers and acquisitions, the Enterprise Resource Management system from Oracle can scale up to support additional businesses without requiring extensive configuration changes.

Advanced Analytics and Reporting

Oracle ERP has many analytical capabilities that greatly surpass the typical methods for generating reports on financial data. Dashboards that are updated in real-time allow finance departments to see their KPIs immediately. Predictive analytics allow procurement managers to anticipate and prepare for disruptions in their supply chain. Report generation that uses AI technology can quickly identify anomalies and find reasons for deviations, so finance workers no longer have to spend hours manually reviewing reports.

Strong Cloud Ecosystem

Oracle Fusion Cloud ERP is completely bonded with Oracle’s whole cloud offering (including Oracle HCM Cloud, Oracle SCM Cloud, and Oracle CX). This close-knit relationship in all areas of the Oracle ecosystem minimizes how much you spend managing several different enterprise systems, and it also means that any data can move easily between HR, finance, operations, and customer related functions.

Oracle ERP vs. Other Leading ERP Platforms

FeatureOracle ERPSAPMicrosoft Dynamics 365
ScalabilityDesigned for large and complicated organizations that have high transaction volumes and multiple entities.Suitable for environments that require a lot of structure and processes; manufacturing and supply chains fit in best.Good scalability to larger implementations starting from mid-market businesses.
Cloud ReadinessNatively cloud-based (Oracle Fusion Cloud); frequent updates and minimal on-premises deployment needed.Great cloud product via S/4HANA Cloud, but most legacy users have hybrid cloud/on-premises setups.Integrated with Microsoft Azure; great cloud migration experience and Office 365 integration.
Financial ManagementPowerful audit-ready financial module popular among finance departments in regulated industries.Great financial controls and deep configuration capabilities for global, multicurrency implementations.Great core financial management and good user experience for companies growing out of QuickBooks.
AnalyticsNative embedded analytics and reporting built into the system.Uses SAP Analytics Cloud for powerful real-time analytics across different functions.Native integration with Power BI allows us to build easy-to-use dashboards with little help from IT.

Oracle ERP Cloud Adoption Trends in 2026

Growing Shift Toward Cloud ERP

Over the last couple of years, the shift away from traditional Oracle ERP systems installed locally on-premise and moving into Oracle’s Fusion Cloud ERP product has greatly increased as businesses that have continued to hold on to aging Oracle versions (like EBS or JD Edwards) move to complete cloud transformations in order to keep pace with innovation and reduce the cost of maintaining legacy infrastructure.

Hybrid implementations continue to be normal in many large organizations during their transition period; however, complete cloud-based ERP implementations are becoming the expected way of deploying ERP for all new users, as well as for businesses that are re-architecting their existing ERP systems.

1: AI-Powered Financial Operations

Oracle has invested substantially in embedding AI into their Cloud ERP solution. By 2026, AI-enabled financial processes will have shifted from being considered ‘competitive differentiators’ to being recognized as expected functionalities. Examples of such processes that are now commonplace among Oracle ERP customers include recommended/automated journal entry postings; AI-enabled cash flow forecasts; and accelerated closure of accounting periods utilizing intelligent processes.

2: Automated Procurement

Increasingly, procurement staff in organizations implementing Oracle Enterprise Resource Planning (ERP) software are utilizing automation throughout the purchasing process to minimize the number of times a user interacts with the system during purchase processes (by generating an automatic order for each purchase, matching supplier invoices to POs, and managing exceptions). The impact of automation from Oracle on these procurement processes generates measurable savings and reductions in cycle times for business customers’ purchases.

3: Real-Time Supply Chain Visibility

The disruption of the supply chain has raised the significance of real-time visibility to a permanent status. Exclusive to Oracle ERP, clients are leveraging integrated supply chain management features in order to track their inventory levels and determine when an order has been shipped or whether or not they need to react to a supply chain disruption in time. Furthermore, AI-based demand sensing will help supply chain professionals predict changes before they result in either lost sales due to stock-outs or overstock of goods.

4: ESG and Compliance Reporting

Multinational corporations have made Environmental, Social, and Governance (ESG) reporting a top priority at the Board level. With these regulations tightening globally, Oracle ERP is enhancing the capabilities of its compliance and sustainability reporting to enable finance teams to capture, consolidate, and report ESG metrics alongside financial metrics. As ESG disclosure regulation becomes more stringent at a global level, the built-in compliance frameworks of Oracle will be a major factor in purchasing decisions.

Regional Analysis: Where Oracle ERP Adoption Is Growing

North America

The U.S. is the biggest market for Oracle’s ERP solution, and in particular its Financial Services, Health Care, Manufacturing, and Technology verticals are leading the way in terms of widespread customer adoption. In addition, most of the world’s largest Oracle ERP installations are in the United States. Furthermore, the U.S. continues to lead the charge for Oracle Cloud ERP by helping enterprises improve their infrastructure.

Europe

European organizations are challenged by complex regulations in multiple countries, thereby making the localization features of Oracle ERP extremely useful. These features allow customers to comply with the European Union’s General Data Protection Regulation (GDPR), keep track of value-added tax (VAT) reporting, and meet other requirements mandated by individual countries.

Asia-Pacific

In Asia-Pacific, Oracle Cloud is the leading provider of Enterprise Resource Planning software, with the biggest increase occurring in countries like India, Australia, Japan, and Southeast Asia. MCC and other major businesses are adopting Oracle Cloud ERP solutions because they require flexible and scalable infrastructures to facilitate their international expansion and grow rapidly in their industries (including manufacturing, IT services, and financial services).

Middle East

A number of government organizations, sovereign wealth funds, and large conglomerates in the U.A.E., Saudi Arabia, and Qatar have chosen to implement Oracle ERP solutions as part of their overall digital transformation efforts, as well as to help support the goals of Vision 2030. The vast experience of Oracle in the region and in working with government entities makes it the vendor of choice for ERP platforms in these markets.

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What Oracle ERP Adoption Means for B2B Marketers

Identifying High-Value Enterprise Prospects

Knowing the names of the companies running Oracle ERP is not just an exercise in learning for technology vendors, consultants, and service providers; it is also a means to identify high-potential enterprise customers. The organizations already using Oracle ERP represent very high potential for complementary offerings such as system integration services, analytics tools, cybersecurity platforms, and managed services.

In addition, the use of Oracle ERP will also provide an indicator of overall levels of digital transformation maturity. These companies are currently making investments in technology solutions, they have established IT decision-making processes and structures, and they typically have an interest in any solution that would enhance or further the value proposition of their investment in Oracle ERP. 

Target Decision Makers

When working with Oracle ERP vendors, the decision-makers are typically:

CIO (Chief Information Officer): Strategic oversight/implementation of vendor and technology strategies;

CFO (Chief Financial Officer): Financial management and reporting enhancements;

CTO (Chief Technical Officer): Cloud strategy and integration architecture;

ERP Directors & IT Managers: Daily management of Oracle environments and evaluation of additional solutions;

Procurement Leadership: Evaluation of solutions that interface with Oracle’s procurement module.

How to Reach Companies Using Oracle ERP

An effective outreach program targeting Oracle ERP users must be based on data. The best strategies include:

  1. Account-Based Marketing (ABM): Build target account lists of existing Oracle ERP customers and create focused marketing campaigns that address the specific challenges and use cases each account has.
  1. Technographic Targeting: Leverage technographic data to identify companies that implemented Oracle ERP nationwide. This will allow the marketing and sales teams to focus on accounts based on the size of their deployment, product version, and when their contracts are due for renewal.
  1. Industry Segmentation: Adoption patterns of Oracle ERP by industry can vary greatly; therefore, ensure your outreach by vertical industry to directly address the specific challenges the prospect is facing.
  1. Personalized Outreach: Generic messaging does not appeal to any enterprise buyer. By using personalized outreach that identifies the prospect’s specific Oracle deployment, industry, and business challenges, results will be much better than by sending broad-based outreach.

The Future of Oracle ERP: What to Expect Beyond 2026

According to the roadmap for its products, Oracle is moving towards creating an ERP platform that is autonomous, intelligent, and industry-centric.

Autonomous finance is one of the most revolutionary trends that can be expected in the coming years. Oracle has placed tremendous importance on integrating AI into its systems to enable financial activities such as period close, reconciliation, and reporting to become fully automated. The finance department would become involved in only exception management and strategy.

An intelligent supply chain would involve the use of artificial intelligence and machine learning techniques to anticipate any disruptions, dynamically manage inventory, and coordinate supplier networks. Given the unpredictable nature of global supply chains, this would definitely be a major advantage for Oracle ERP software users.

Adoption of Advanced Cloud will be further fueled by Oracle’s continued investment in its cloud platform and growth of its data center presence worldwide. Oracle’s sovereign cloud solutions will be helpful to enterprises in industries subject to regulations, enabling cloud implementation within the geographical limits prescribed by regulations.

Industry-specific ERP advancements will enable Oracle to develop its industry expertise. Look out for more modules specific to life sciences, defense, utilities, and construction sectors.

Conclusion

In 2026, Oracle ERP continues to be one of the most impactful ERP software solutions used by companies worldwide. Various industries from manufacturing to health care, retail to logistics, and finance continue to utilize Oracle ERP solutions for managing complex operations and implementing their long-term business strategies.

With the increase in Oracle Cloud use and modernization of legacy IT infrastructures at corporations, the composition of companies using Oracle Cloud will keep changing. 

For B2B service providers and marketers, as well as other professionals working with Oracle, knowing which businesses have Oracle ERP solutions and why they are using it is critical information.

No matter what business objectives you ppursue,whether you need prospects, want to assess the competitive positioning of your product, or just want to understand the business software market better, Oracle ERP adoption information is key.