ERP software
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ERP Trends Vision for 2025

22 May 2025 • 8 min read
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Anna Fischer
Construction Content Writer
The growing trend of network automation reflects a broader shift in how businesses manage their digital operations.

The shift is happening at a remarkable pace: by 2026, 30% of enterprises will likely automate more than half of their network activities, up from under 10% in mid-2023.[?]

This rapid adoption of automation signals a major transformation in enterprise technology, particularly in ERP systems. Industry giants and market analysts point to several transformative trends that will reshape how organizations operate. Based on insights from industry observers like Gartner, Deloitte, and PwC, here's what construction businesses can expect in the near future.

AI Integration Becomes Standard

The shift to automation is already showing impressive results, with companies cutting manual data entry by up to 65%.[?] But this is just the beginning – predictive analytics are revolutionizing how businesses handle inventory and resources.

Concurrently, the AI market is experiencing rapid growth. It is projected to grow by over 35% annually through 2028 due to increased adoption.[?] This expansion reflects the use of AI technologies across various industries, including ERP systems, where AI enhances automation, analytics, and decision-making capabilities.

AI integration in ERP systems isn't just a trend – it's becoming essential. By 2025, a quarter of enterprises will be using AI agents, with that number doubling to 50% by 2027.[?] Enter 'agentic AI' – the buzzword of the year. These AI agents can tackle complex tasks almost independently, marking a shift from experimental AI to practical business applications.
Global AI in ERP market 2023-2033
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Global AI in ERP market 2023-2033
Source: Innowise
Looking ahead, there will be a workplace where humans and AI work side by side, potentially doubling knowledge work capacity. This will require new management approaches, such as redefining team roles, establishing AI governance protocols, and developing frameworks for human-AI collaboration.
Companies will need to learn how to balance AI capabilities with human expertise, manage workflow integration, and ensure clear accountability in these hybrid human-AI teams.

Sustainability Takes Center Stage

Environmental responsibility has become a business imperative, with IDC expecting 75% of enterprises to track sustainability through their ERP systems by 2025. Companies are tracking everything from carbon footprints to energy use, with real results. This trend explains the growing number of sustainability mega projects.
The cloud continues to reshape how businesses operate, predicting public cloud spending will hit $723 billion by 2025 as businesses move their ERP systems skyward.[?]
With worldwide IT spending projected to reach $5.75 trillion in 2025 (a 9.3% jump from the previous year), it's clear that companies are betting big on this digital transformation. The message is clear: adapt and evolve, or risk falling behind.

AI-Powered Decision Making

The integration of AI into ERP systems is revolutionizing the way companies make decisions. As evidence, 15% of daily work decisions will be handled autonomously by Agentic AI by 2028, signaling a significant shift from traditional decision-making processes.[?]
Business decision making process
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Business decision making process
Source: Eric Colson
The impact is already visible across industries. Manufacturing companies using AI-enabled ERP systems report up to 30% faster decision-making in supply chain management, while financial institutions leverage these tools to detect patterns and anomalies that human analysts might miss.[?]
Looking ahead, we know that 35% of organizations will employ AI-driven digital workers by late 2025, complementing human expertise rather than replacing it.[?] This hybrid approach requires new training programs and workflows.
The key to success lies in treating AI not as a standalone solution but as an integral part of the decision-making ecosystem. Companies that effectively combine human insight with AI-powered analytics are better positioned to navigate market uncertainties and capitalize on emerging opportunities.

Enhanced Mobile Capabilities

The workforce is increasingly mobile, and ERP systems are adapting. With remote work becoming more prevalent, 70% of businesses are enhancing mobile access to ensure seamless operations from anywhere.[?] This isn't just about accessing data on smartphones – it's about creating seamless experiences across devices.
In the construction industry, the trend of adopting mobile-first ERP interfaces is crucial for project managers, site supervisors, and contractors who need to oversee multiple projects simultaneously. Mobile access to real-time data, such as project progress, resource allocation, and budget tracking, enables quick decision-making and ensures projects stay on schedule and within budget.
By leveraging mobile-first ERP interfaces, construction companies can improve collaboration between on-site and office teams, enhance overall efficiency, and ultimately deliver projects more successfully.

Human-Centric Design

As mentioned earlier, the increasing automation in ERP systems does not diminish the importance of the human element. Gartner's latest findings suggest that successful ERP implementations in 2025 will prioritize user experience and adaptive interfaces, including contextual learning systems that understand user preferences and workflow patterns.
This shift towards human-centric design is already yielding results, with organizations reporting up to 40% faster user adoption rates when implementing ERP systems with intuitive interfaces and personalized workflows.

Edge Computing Integration

As the number of IoT devices increases rapidly, edge computing is becoming crucial for ERP systems. By 2025, Gartner predicts that 75% of enterprise-generated data will be created and processed outside traditional centralized data centers or clouds, emphasizing the growing importance of edge computing in managing the vast amounts of data generated by IoT devices.[?]
The integration of edge computing in ERP systems offers several benefits. It reduces latency by processing data locally, enabling faster decision-making and response times.
Edge computing also improves efficiency by reducing the amount of data transmitted to the central server, decreasing bandwidth requirements. Additionally, it enhances reliability by allowing continuous operation even during network disruptions or connectivity issues, as local devices can continue processing data independently.
Furthermore, as the number of IoT devices increases, edge computing helps distribute the processing load, making the system more scalable.

Final Thoughts

As we look ahead to 2025 and beyond, it's clear that the ERP landscape is undergoing a significant transformation. The trends discussed in this article are not just passing fads but fundamental shifts in how businesses operate.
For construction companies, embracing these trends is crucial for thriving in an increasingly complex and dynamic industry:
  • Leverage AI-powered analytics and automation to streamline operations and enable data-driven decision-making;
  • Incorporate sustainability tracking and reporting capabilities into ERP systems to align with growing environmental concerns and regulations;
  • Develop mobile-first ERP interfaces to enhance collaboration, productivity, and flexibility for on-site and remote teams;
  • Prioritize user experience and adaptive interfaces in ERP implementations to ensure high user adoption rates and satisfaction;
  • Integrate edge computing capabilities to enable faster, more reliable data processing and management from IoT devices and sensors.
Successfully integrating these technologies requires a willingness to experiment, learn, and adapt, treating digital transformation as an ongoing journey rather than a one-time event. It's crucial to keep the human element at the center of these advancements, aiming to augment and enhance human expertise rather than replace it.
By striking the right balance between innovation and stability, automation and human judgment, and short-term gains and long-term sustainability, construction companies can unlock the full potential of these powerful tools and position themselves for success in the new era of ERP.

FAQ

1. What is the projected growth of public cloud spending by 2025, and how does this relate to ERP systems?
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Public cloud spending is predicted to hit $723 billion by 2025 as businesses move their ERP systems to the cloud. This trend indicates that companies are betting big on digital transformation and the benefits of cloud-based ERP systems, such as scalability, flexibility, and cost-effectiveness.

2. How will the integration of AI into ERP systems revolutionize decision-making processes?
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AI integration in ERP systems is transforming decision-making processes. By 2028, Agentic AI will autonomously handle 15% of daily work decisions, marking a major shift. AI-enabled ERP systems help manufacturing companies make supply chain decisions 30% faster, while financial institutions use them to identify patterns and anomalies more effectively than human analysts.

To succeed, companies must treat AI as an integral part of their decision-making ecosystem, combining it with human insight for optimal results.

3. What role will human-centric design play in the success of ERP implementations in 2025?
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Gartner predicts that successful ERP implementations in 2025 will focus on user experience and adaptive interfaces, including systems that learn user preferences and workflow patterns. This human-centric design approach is already proving effective, with organizations seeing up to 40% faster user adoption rates when implementing ERP systems with intuitive interfaces and personalized workflows.

As automation in ERP systems increases, the human element remains crucial, and companies prioritizing user experience will be better equipped to succeed.


author
Anna Fischer
Construction Content Writer
Anna has background in IT companies and has written numerous articles on technology topics.

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