Enterprise resource planning (ERP) systems are undergoing a fundamental reinvention. Once viewed primarily as systems of record, ERPs are increasingly becoming systems of intelligence, sitting at the heart of how organisations operate, decide and grow.
This shift is being driven by a convergence of forces: cloud adoption, rising expectations for real-time insight and the rapid maturation of artificial intelligence (AI). As finance and operations teams face greater complexity, volatility and pressure to perform, ERP platforms are being asked to do more than automate processes. They must connect data across the enterprise, embed intelligence into workflows and support faster, more confident decision-making.
The Euromoney Cash Management Survey 2025, drawing on more than 30,000 corporate responses, highlights a vendor landscape crowded with options and rising expectations. Against this backdrop, competition among ERP providers is intensifying, while corporates and banks alike are under pressure to identify the platforms best suited to long-term integration and growth.
Explore the global top 10 ERP providers to examine the technologies, strategies and priorities defining the next phase of system adoption – and why the reinvention of ERP matters now more than ever.
The reinvention of ERPs
Businesses of all kinds are under growing pressure to achieve operational excellence despite the challenges posed by fragmented systems and manual workflows. At the same time, there is a growing realisation that conventional ERP systems struggle to deliver the valuable real-time insights these businesses require to survive and thrive.
Over recent years, ERP has evolved into an intelligent control centre that unifies processes, data and workflows across the entire organisation. The shift towards cloud-based platforms has accelerated, breaking down silos, improving real-time visibility and giving businesses faster access to innovation. With AI and machine learning embedded at its core, ERP has moved from basic automation to genuine augmentation.
Finance departments are entering a new era. Intelligent agents are beginning to reshape how finance teams operate, moving processes from retrospective oversight to foresight. These autonomous agents work continuously to detect patterns, make decisions and act, creating a new standard for agility, accuracy and control.
ERPs’ ecosystem is well positioned for AI evolution, through its high volume, rules-based applications that are particularly well suited for transformation.
Defining the next generation of ERP therefore means moving beyond static, legacy workflows towards real-time forecasting that can respond instantly to volatility.
ERP providers have expanded the scope of their platforms as well. Many now aim to unify the broader range of business functions within a single ecosystem extending native functionality through a combination of organic development and acquisition, while simplifying integration.
They have also capitalised on the growing demand for digital transformation among small and medium-sized enterprises (SMEs), with more affordable licensing and streamlined implementation timelines making these systems increasingly accessible.
Industry-specific ERP platforms are another emerging trend, offering tailored capabilities designed to meet the unique requirements of sectors.
Respondents to the Euromoney Cash Management Survey 2025 repeatedly linked deeper system integration with expectations of higher transaction flows. A corporate respondent in Brazil, for example, said it expected a significant increase in cash management activity during the next 12 to 18 months as it diversified its client base and expanded sales. That growth, the respondent noted, would support more disciplined cash-flow management and justify systematic investment in a new ERP platform. A company in the Middle East echoed this view, highlighting that rising transaction volumes were intensifying the need for real-time reporting, automated payment processing and tighter ERP integration, alongside digital banking platforms capable of connecting seamlessly with internal systems.
Across regions and company sizes, a common theme emerged when corporates were asked where their main bank needed to improve. Many pointed to the same priority: integration with their preferred ERP system.
Competition among ERP vendors is intense, and sustained investment in product development, cloud infrastructure and intelligent capabilities has become a prerequisite rather than a differentiator. At the same time, banks face a parallel challenge. As corporates demand deeper connectivity between their ERP platforms and financial services, banks must be able to identify the leading providers in this landscape and support them through robust, end-to-end integration layers. Increasingly, treasurers expect banking connectivity to be embedded directly into their operational systems, making seamless ERP integration a core requirement rather than an optional add-on.
Top ranked ERP providers

The MarketMap presents the top 10 providers on two axes:
• Client footprint, indicating the scale of the solution based on the number of corporates that reference it.
• Client satisfaction, calculated as a simple average of respondents’ ratings. The measure is unweighted and includes the full sample, regardless of respondents’ roles or company size.
The results reflect corporate usage and client satisfaction, with no adjustments from Euromoney.
The Euromoney MarketMap for global ERP providers tells the story of a market in transition, where scale alone is no longer sufficient and architectural clarity and client satisfaction increasingly determine leadership. At the top end of the market, the leading platforms share a common ambition: to become the operational and analytical core of the enterprise, even as they pursue that goal through different design philosophies.
SAP sits at the apex of the MarketMap, reflecting its unmatched client footprint and consistently high client satisfaction. The German software group has long positioned ERP as more than a transactional backbone, and today its differentiation rests on its ability to combine applications, data and AI at scale. According to Neil Gardner, head of cloud ERP at SAP, the company’s solution stands apart on its ability to combine applications, AI and data at scale, leveraging one of the world’s most comprehensive business datasets.
We created a cloud-native, unified platform from day one, which removes the need to constantly integrate decades of siloed systems
Angelique de Vries-Schipperijn, Workday
Oracle occupies a similarly strong position, combining breadth with depth across finance, supply chain and enterprise operations. Its Fusion Cloud ERP’s unified data model eliminates silos, streamlines workflows and ensures a single source of truth across every process from transactions to decisions, explains Guy Armstrong, senior vice-president of applications, Oracle UK and Ireland.
“With AI agents available directly within Oracle Cloud ERP, we are helping finance teams become a more strategic driver of business value,” he says.
Microsoft Dynamics 365 occupies a strong position in the ERP landscape, underpinned by its deep integration with the wider Microsoft ecosystem and a clear focus on intelligent automation. The platform reflects Microsoft’s view that data is central to the next phase of innovation, with AI investment shaped by the scale and richness of information generated by core enterprise processes. “ERP systems in particular are rich with high volume, rules-based activities that are ripe for transformation,” says Sameer Verma, chief product officer, Dynamics 365 ERP portfolio.
Workday, positioned among the outstanding performers on the MarketMap, has taken a different route. The platform’s success comes down to a foundation built on trust and architectural integrity, suggests Angelique de Vries-Schipperijn, president of EMEA.
“We created a cloud-native, unified platform from day one, which removes the need to constantly integrate decades of siloed systems,” she says. “This clean architecture allows us to deliver purpose-built AI that is embedded into the core of our solutions.”
Vendors such as Odoo and Sage illustrate how differentiation increasingly depends on clarity of the target market and execution discipline. Eldad Levi, principal market development strategist at Odoo, refers to a true all-in-one platform with a user-friendly interface, strong customisation options and highly competitive pricing.
Sage’s position reflects a focus on practical outcomes for finance teams, with AI embedded into everyday workflows and an emphasis on trust, compliance and security as core ERP requirements. Its open platform and partner ecosystem are designed to extend functionality without undermining control.
“Sage succeeds because we start with real customer outcomes,” suggests Rob Sinfield, global senior vice-president, product and head of ERP. “Our AI is practical, embedded in workflows and designed to deliver immediate value, and trust is another differentiator – businesses rely on ERP for compliance, security and accuracy. An open platform and strong partner ecosystem reinforce this differentiation.”
By introducing agents into core ERP scenarios, organisations can reduce manual effort, improve accuracy and accelerate decision-making across finance, supply chain and project operations
Sameer Verma, Dynamics 365
NetSuite, meanwhile, has carved out a distinctive position by creating a pathway to long-term ERP success by supporting customers to incrementally adopt new elements of the suite as their business needs evolve. The ‘stairway’ approach delivers a phased path for customers to succeed fast and scale smoothly.
“The first step is to provide the tools needed to manage the core financials of a business, ensuring that all departments operate from a single, real-time view of data,” says James Chisham, vice-president, product management and strategy at Oracle NetSuite. “As the business grows and requires additional functionality, they can activate new modules and add users.”
Below the global horizontal platforms, providers such as IFS, Infor and Acterys illustrate the continued relevance of specialist positioning in the ERP market. IFS and Infor differentiate through industry-focused capabilities rather than broad, horizontal coverage, serving more targeted client bases than the largest platforms. Acterys sits closer to the ERP-adjacent layer, focusing on planning and analytics that integrate with core ERP environments.
Taken together, the Euromoney MarketMap of ERP providers globally underscores a market defined less by feature parity than by strategic intent. As ERP platforms converge around AI, data unification and ecosystem integration, competitive advantage increasingly depends on how convincingly providers can translate those capabilities into scalable, trusted and integrated operating models for their clients.
AI underpins intelligent approach
The future of finance is being reshaped by the rapid convergence of advanced AI and agentic technologies, ushering in a new era of intelligence, automation and strategic impact.
Discussions with industry leaders indicate that AI has become table stakes for ERP systems, with many firms willing to change provider if they do not support generative AI in their latest releases. Workday reckons that around three quarters of its customer base are leveraging its AI solutions.
Microsoft Dynamics 365’s Verma adds: “By introducing agents into core ERP scenarios, organisations can reduce manual effort, improve accuracy and accelerate decision-making across finance, supply chain and project operations. This shift marks a meaningful departure towards AI-first operations.”
By connecting customers with our network of trusted partners and their industry expertise, the marketplace makes it simple to access innovative AI agents within a highly secure, enterprise-ready environment
Guy Armstrong, Oracle
AI agents are quickly moving toward becoming trusted advisers that can understand context, predict outcomes and guide decisions. For example, Oracle already has hundreds of AI agents embedded across its applications to support key processes and workflows across every industry, and these agents will only become more connected, intelligent and adaptive.
Oracle’s new AI agent marketplace provides a centralised platform where customers can fast-track enterprise AI adoption.
“By connecting customers with our network of trusted partners and their industry expertise, the marketplace makes it simple to access innovative AI agents within a highly secure, enterprise-ready environment,” says Armstrong.
From finance and supply-chain management to project operations and time tracking, AI agents streamline workflows, reduce manual effort and enhance accuracy.
But technology alone is not sufficient. Meaningful business transformation also requires functional leaders in the corporates’ organisations, to align processes with these new capabilities, rethinking core processes.
Planning for the future
Alongside cloud adoption, advances in business AI will be critical, reckons SAP’s Gardner. “By embedding generative models, intelligent agents and co-pilots across functions, ERP will become even more mission critical for organisations seeking to realise AI-driven value across departments, workflows and applications,” he says.
According to Workdays’ De Vries-Schipperijn, the next wave of innovation in the ERP space will focus on the seamless integration of human and AI.
“Innovation is accelerating the shift from simple automation to intelligent agents that can proactively orchestrate end-to-end workflows, which is where the real productivity unlock happens,” she says.
Workday is enabling this process by making its platform as open as possible, allowing customers and partners to build and connect these new intelligent solutions on its trusted data. The ultimate goal is to use this resulting efficiency to fuel growth and agility.
Agentic AI streamlines the autonomous close by automating data collection, reconciliation and validation, minimising manual effort and errors
James Chisham, Oracle NetSuite
ERP companies are well positioned to translate AI advancements into real business value, according to Odoo’s Levi, who expects automation across the software landscape to advance significantly during the next few years.
While generative AI is already established as a co-pilot for content creation and data extraction, the emergence of agentic AI is set to transform operations by autonomously executing entire workflows. It is vital that ERP systems act as a natural extension of the way organisations work. In this context, AI is enabling ERP systems to be more collaborative, insightful, adaptive and trustworthy.
For example, users should be able to leverage a natural language assistant that allows them to query, navigate, analyse and act across their entire ERP dataset using their own words. Trust is equally critical.
ERP must deliver context-aware answers, visualisations, interactive content and reasoning that explains the ‘how’ and ‘why’ behind each response and enables more effective collaboration between the users and the system.
The rise of the zero-day close
As the role of ERP continues to evolve, one key customer priority is coming into sharper focus: achieving a ‘zero-day close’ and the ability to maintain confidence in financial records throughout the accounting period, not just at month-end.
“Agentic AI streamlines the autonomous close by automating data collection, reconciliation and validation, minimising manual effort and errors,” says Oracle NetSuite’s Chisham. “It detects anomalies, supports compliance and triggers corrective actions, allowing finance teams to keep pace with real-time operations.”
Intelligent agents will handle routine tasks, prepare month-ends and triage exceptions autonomously. Interfaces will become conversational, letting users ask the ERP questions in natural language and receive clear, actionable answers.
By embedding generative models, intelligent agents and co-pilots across functions, ERP will become even more mission critical for organisations seeking to realise AI-driven value across departments, workflows and applications
Neil Gardner, SAP
Systems will also become more industry specific and open, with vertical AI models and extensible platforms that easily integrate new capabilities. Trusted, transparent AI will be essential as ERP takes on a bigger role in business decision-making.
To work effectively and without errors, these models require high-quality inputs and context. They must have access to business-specific data that is often dispersed across various systems, including customer relationship management (CRM), human resources (HR) and finance.
Furthermore, orchestrating this automation requires a strict adherence to organisational workflows and access protocols. As the key enabler of business processes and the ultimate ‘single source of truth’, ERPs provide an indispensable foundation for success in the age of AI. Consequently, ERPs will stand at the heart of the AI shift, leveraging embedded models to unlock unprecedented value.
Cloud has transformed ERP from a system of record into a platform for agility and competitive advantage, delivering faster performance and connected workflows with data at the centre of operations. Businesses that harness cloud ERP are better positioned to compete, grow and innovate in the long term.

