Market Trends: Enterprise AI Agent Adoption
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Executive Summary
This report examines how agentic AI is emerging as the next evolution of enterprise intelligence, moving organizations beyond predictive analytics and copilots, towards AI agents that can perceive context, reason towards goals and act across systems under governance. It defines a clear framework for agentic AI, spanning a layered technology stack, five levels of agent sophistication and five levels of agentic workflows, using Verdantix survey data to map where enterprises really are on that maturity curve. The analysis shows uneven but accelerating adoption across regions, sectors and functions, with Asia and Europe scaling cautiously, North America highly experimental but under-scaled, and emerging markets using agents for digital catch-up. The report also compares five dominant adoption models and highlights the structural shifts in orchestration, security and commercial models that will determine which enterprises capture the ‘agentic dividend’ from 2025 to 2030.
Figure 1. Hierarchical definitions of AI agents, multi-agent systems, and agentic AI
Figure 2. The technology stack of enterprise agentic AI
Figure 3. Levels of AI agent sophistication
Figure 4. Levels of agentic workflows
Figure 5. Drivers of and barriers to AI agent adoption
Figure 6. The extent of regional autonomous AI agent rollout
Figure 7. The extent of autonomous AI agent rollout across sectors
Figure 8. The importance of AI agent capabilities and configurability in software purchasing decisions across sectors
Figure 9. AI agent piloting is widespread across industries and functions
Figure 10. Scaling AI agents from pilot to production is uncommon
Figure 11. How AI agent adoption routes differ across key criteria
About the Authors
Henry Kirkman
Industry Analyst
Henry is an Industry Analyst at Verdantix. His current research agenda focuses on quality management, field service management and industrial applications of AI, including Gen...
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Chris Sayers
Senior Manager
Chris is a Senior Manager at Verdantix. His current research agenda targets enterprise AI integration and adoption, AI market trends and agentic AI. Chris joined Verdantix in ...
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