Summary is AI-generated, newsdesk-reviewed
  • Enterprise agentic AI market to grow from $1.5B in 2025 to $41.8B by 2030.
  • Agentic AI's 5-year CAGR (2024-2029) forecast at 175%, surpassing generative AI's 90%.
  • Automated code development leads use cases, reaching $8.2B by 2030, followed by virtual assistants.

The enterprise agentic AI software market is projected to expand dramatically from $1.5 billion in 2025 to $41.8 billion by 2030, as per Omdia's newly released Enterprise Agentic AI Software Market Forecast. This sector is charting significant growth within the enterprise technology landscape.

Research conducted by Omdia reveals that agentic AI is advancing at a notably faster pace compared to traditional generative AI at similar stages of market development. While the compound annual growth rate (CAGR) for generative AI is estimated at 90% over the five years from 2022 to 2027, agentic AI is forecasted to achieve a remarkable 175% CAGR between 2024 and 2029.

Factors Driving Adoption

The swift adoption of agentic AI is powered by a focus on automation among enterprises, with 39% of early adopters citing reduced operational costs and enhanced employee productivity as key incentives for implementation.

Previous investments in generative AI infrastructure have facilitated a smooth entry and rapid progression for agentic AI, thereby offering organizations the chance for quicker returns on investment.

Market Proportion and Key Use Cases

"The agentic AI market is evolving rapidly as enterprises prioritize automation capabilities," stated Neil Dunay, Principal Forecaster at Omdia. By 2030, agentic AI is expected to constitute 31% of the entire generative AI market, up from 6% in 2025.

The forecast identifies automated code development as the leading use case, predicted to reach $8.2 billion by 2030, with virtual assistants, such as customer self-support agents, close behind at $7.7 billion.

Comprehensive Forecast Insights

Omdia's full forecast offers detailed breakdowns by industry verticals, geographic regions, workload types, and specific use cases. It also provides strategic insights intended to guide investment decisions in this rapidly changing environment.

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