ERP Leveled Up In 2024 — Where Is It Headed In 2025?

In 2024, AI-based functionality brought big changes to enterprise resource planning systems, enhancing these essential tools for enterprises that centralize data management and enable comprehensive analysis across operations. ERP systems connect all facets of an organization, standardizing and automating processes and — ideally — improving operational efficiency.

While advanced analytics has been part of ERPs for some time, 2024 saw the widespread integration of generative AI, enabling more sophisticated natural language interactions and automated content generation, as well as new types of analysis. ERP systems evolved to provide real-time, autonomous decision making capabilities, moving beyond predictive analytics in areas such as production scheduling and supply chain optimization. User experience also improved thanks to AI-powered voice activation and natural language processing.

A key development was the emergence of AI agents capable of handling complete business tasks across different parts of an ERP system, representing a shift from simple automation to more complex, context-aware actions. All in all, these changes represented a qualitative leap in ERP capabilities, transforming them from systems that primarily supported human judgment to more autonomous, intelligent platforms capable of driving business processes and strategy.

So what is the state of ERP now? And where is it headed this year? Let’s dig in.

The Landscape Of ERP Solutions In 2025

The ERP market is set for substantial growth, projected to expand from $81.15 billion in 2024 to $238.79 billion by 2032, with a CAGR of 14.4%. The demand for ERP is rising due to increasing business complexity, the need for global operational continuity, stricter regulatory requirements and shifting customer expectations. AI, machine learning and cloud technologies serve as enablers, allowing ERP vendors to improve automation, scalability and adaptability in response to these market pressures.

AI and ML were key themes for leading ERP products in 2024. Oracle Cloud ERP introduced AI-powered tools for real-time financial planning, project management and procurement optimization. SAP S/4HANA leveraged machine learning for demand forecasting and production scheduling, while the company’s RISE and GROW with SAP program provided a unique approach to cloud migrations. At the Sapphire conference, SAP shared updated AI capabilities such as the Joule AI copilot, which offers real-time recommendations in ERP areas ranging from supply chain management to cash collection to analytics. SAP says that Joule may be able to influence as much as 80% of common user tasks, potentially increasing productivity by 20%.

Microsoft Dynamics 365 ERP Finance and Supply Chain joined Microsoft’s Copilot ecosystem in October 2024. Copilot, an AI-powered natural language interface, helps simplify workflows and improve user experiences across key functions in finance, supply chain management, human resources and more. Looking ahead, Microsoft is reinforcing Dynamics 365 ERP’s focus on AI-driven productivity, data-driven intelligence and adaptability to business conditions.

Hyperautomation, combining robotic process automation, AI and machine learning, remains a key focus for ERP vendors Infor and Epicor in 2025. Infor has integrated AI capabilities across its cloud-based ERP solutions, for example to enhance demand planning and inventory optimization. The company’s CloudSuite offerings leverage AI to provide more accurate forecasting and simplify supply chain management. Meanwhile, Epicor has introduced the Epicor Grow Portfolio, which includes AI features meant to improve insights and efficiency.

User experience and accessibility remain priorities for vendors including Acumatica and Zoho. Acumatica has introduced a new AI-powered user interface, which allows for personalization and simplification of screen layouts. The company has also implemented AI-enabled workflows and NLP capabilities to improve business processes. Zoho has expanded its AI offerings across its product suite, including Zoho ERP, which leverages AI for improved process automation and data insights. A recent research brief I coauthored with Melody Brue gives more details on how Zoho Analytics has been enhanced with AI.

Oracle NetSuite has also added AI capabilities across its product line. The NetSuite Analytics Warehouse now includes Auto-Insights, which helps identify trends and anomalies in enterprise data automatically. It also features the Oracle Analytics AI Assistant as well as prebuilt AI models for specific use cases, which is a good example of how ERP vendors are using AI to make their systems smarter and more adaptable.

IFS has advanced what it calls Industrial AI, which it defines as AI-driven solutions built for asset-intensive sectors such as manufacturing, energy, aerospace and defense. The company introduced more than 60 new Industrial AI capabilities in IFS Cloud 24R2, covering manufacturing, service management, asset performance management and sustainability management.

Sustainability Tools Grow In Popularity

In 2024, enterprises faced pressure to improve carbon footprint management across their operations and supply chains. ERP vendors in turn integrated new sustainability features, for example to improve emissions tracking and to automate carbon footprint calculations. In line with this, enhanced data integration and analytical capabilities allow real-time monitoring of energy usage, transportation and production processes. New tools also support sustainability planning and optimization, enabling better carbon budgeting and scenario planning.

These features are also designed to help enterprises meet evolving regulatory requirements, aligning with standards such as the Greenhouse Gas Protocol and helping companies prepare for sustainability audits. By incorporating these carbon management features, ERP systems are enabling enterprises to embed sustainability considerations into their core processes, facilitating choices that account for both business needs and comprehensive carbon management.

In one example of this, SAP is delivering its Sustainability Data Exchange to standardize emissions accounting and data sharing. Integrated into SAP’s cloud-enabled ERP, SDX allows real-time monitoring of carbon footprints and resource use, helping enterprises track performance and meet environmental targets. CEO Christian Klein has emphasized the need for an “open and collaborative data ecosystem” to support sustainable enterprises. As it links SDX to its Green Ledger, SAP aims to align carbon data with financial metrics, enhancing transparency and enabling organizations to evaluate environmental and economic performance together.

Other vendors have also integrated sustainability functions. Many of these are augmented with AI and advanced analytics. Oracle Fusion Cloud Sustainability, launched in 2024, connects with the company’s ERP and SCM applications to automate carbon footprint calculations across Scope 1, 2 and 3 emissions, support circular economy initiatives and optimize resource efficiency. Infor provides industry-specific solutions such as CloudSuite Industrial and CloudSuite Food & Beverage, using sustainability insights to reduce waste, track emissions and ensure compliance.

In 2024, Sage partnered with AWS to develop Sage Earth, a carbon accounting software that calculates enterprises’ carbon footprints and suggests emission reduction strategies. Meanwhile, Microsoft Dynamics 365 ERP includes sustainability tools to help organizations track and reduce their environmental impact while meeting regulatory standards. The platform enables reporting greenhouse gas emissions, supports compliance with the EU’s Corporate Sustainability Reporting Directive and, according to Microsoft, will be expanded to include water and waste management tracking features.

Vendors Provide Assistance For Change Management

ERP systems are essential for modernizing operations but require careful planning to navigate challenges in change management and data integration. Microsoft Dynamics 365 uses its FastTrack program and its Success by Design framework to mitigate these risks. Oracle’s Customer Success program provides structured guidance for implementation and optimization. Infor’s Deployment Accelerator simplifies adoption with industry-specific configurations. Acumatica’s Customer Success Framework offers tailored support for adopting its cloud-based ERP solutions. These programs, combined with AI tools for automating tasks and enhancing oversight, should help organizations to get the most out of their ERP deployments.

Influence Of Industry 4.0 And 5.0

In 2024, Industry 4.0 and Industry 5.0 concepts continued to shape the evolution of ERP and SCM, hopefully laying the groundwork for even greater advancements in the coming years. Industry 4.0, focusing on automation and connected enterprises, drove efficiencies in production and operations through technologies like IoT, AI and robotics. Looking ahead to 2025, I expect Industry 5.0 thinking to gain more traction, especially as AI agents and humans work together more seamlessly.

This shift is about redefining collaboration between people and robots, combining human creativity with machine precision to create more personalized and sustainable production processes — and enable innovation. In line with Industry 5.0 principles, I expect to see ERP systems integrate even more AI into workflows to enable future production processes where technology and human inputs come together to create more effective and sustainable business practices.

Looking Ahead At 2025: Generative AI Becomes Part Of Everyday Operations

Enterprise ERP systems are evolving rapidly, with AI becoming a core part of daily operations in 2025. We’ve moved past the experimental phase into practical use, where AI will manage entire workflows within ERP and supply chain systems. A key driver of this transformation is AI agents, which can handle more sophisticated tasks and end-to-end processes, even engaging in automated decision making. For example, these agents will monitor supply chains in real time; increasingly, they should be able to anticipate disruptions and recommend the best course of action while handling tasks such as inventory restocking, supplier selection, demand forecasting and logistics optimization. Beyond the supply chain, AI agents are already being used to enhance customer service, personalize marketing and assist with financial planning.

As AI takes on more responsibilities, don’t expect to see AI replacing human oversight; rather, I see many of these changes unfolding in line with Industry 5.0, with humans and AI working together. To maintain the right balance, enterprises and vendors are increasingly adopting human-in-the-loop processes that allow AI to handle routine tasks while ensuring that human professionals are consulted for key steps requiring judgment, creativity or ethical oversight.

We can also expect to see ERP and SCM systems get smarter in their use of information coming from IoT and IIoT technologies. These systems will further leverage edge computing and digital twins to enhance real-time monitoring in manufacturing environments. We can expect predictive maintenance capabilities to evolve, utilizing complex machine learning algorithms to forecast potential issues with greater accuracy.

Personalization will likely also reach new heights, with ERP interfaces dynamically adapting to individual user roles and preferences. Industry-specific solutions will become more prevalent, offering deeply integrated modules tailored to niche sectors. In response to the global disruptions of the past few years, I think we’ll see ERP vendors continue to prioritize risk management capabilities and, more broadly, functionality that improves their customers’ resilience. This includes adaptive supply chain management capabilities to respond to crises, as well as real-time compliance monitoring to ensure adherence to evolving regulations.

Continuing a strong existing trend, implementation processes and tools will focus on faster, more agile deployment. Cloud-native ERP solutions, pre-configured industry templates and low-code/no-code platforms — which are increasingly driven by AI — all reduce the need for customization by the vendor and empower business users to automate workflows without heavy IT reliance. AI-assisted implementation will increasingly streamline data migration, suggest optimal configurations and enable phased adoption strategies that minimize business disruptions. For example, an enterprise might initially migrate to the cloud and automate a critical list of essential processes before incorporating advanced features like AI analytics and IoT compatibility.

Governance frameworks will also become even more critical as AI-driven systems play a larger role in automation, and especially in decision making. The need for transparent, fair and accountable AI systems will drive enterprises to rely even more on robust data governance and compliance measures. This also promotes better and safer cross-platform sharing of data. For example, real-time collaboration driven by supplier performance data in SCM and financial data in ERP can enable more holistic procurement strategies and better cost management. While not entirely new, this type of integration has matured so that enterprises can leverage combined data more effectively and get the most out of advanced AI-driven analytics.

ERP Continues To Evolve With Enterprise Needs

In 2024, ERP systems made meaningful strides in addressing the complexities of modern enterprise operations. Advancements in AI and machine learning improved predictive capabilities, while integrations with systems for SCM, CRM, warehouse management and other areas enhanced functionality and data consistency. Sustainability features also gained traction as organizations worked to align environmental goals with operational efficiency. All of these developments reflect a steady evolution and growth of ERP platforms into more adaptive and practical tools for enterprises.

I expect ERP systems in 2025 to further incorporate AI into more routine processes, and for ERP vendors to introduce more industry-specific solutions. Efforts to streamline deployments and improve integration should continue, focusing on making these systems more accessible. The progression of human-AI collaboration, as seen in the ideals of Industry 5.0, suggests that ERP platforms will increasingly balance automation with the need for human oversight and creativity. These trends indicate a growing emphasis on practical, data-driven solutions to meet modern enterprises’ operational and strategic needs.