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Agentic AI Market Growth Forecast By Omdia

17 Oct 2025

Agentic AI Market Growth Forecast By Omdia
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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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The enterprise agentic AI software market is set to surge from $1.5 billion in 2025 to $41.8 billion by 2030, according to Omdia’s latest Enterprise Agentic AI Software Market Forecast. This represents one of the fastest-growing segments in enterprise technology.

According to the research, the analysis shows agentic AI is significantly outperforming traditional generative AI at similar market stages. While generative AI's initial 5-year CAGR (2022-2027) is projected at 90%, agentic AI's forecast 5-year CAGR (2024-2029) reaches an impressive 175%.

Generative AI infrastructure investments

This accelerated adoption is driven by enterprise priorities for automation, with 39% of early adopters citing reduced costs and increased employee productivity as primary motivations for deployment.

Importantly, previous generative AI infrastructure investments have paved the way for an easier market entry and quicker development for agentic AI, offering organizations the potential to achieve faster returns on investment.

Total generative AI market

"The agentic AI market is evolving rapidly as enterprises prioritize automation capabilities," said Neil Dunay, Principal Forecaster at Omdia. "By 2030, agentic AI will represent 31% of the total generative AI market, up from just 6% in 2025." The forecast identifies automated code development as the largest use case, projected to reach $8.2 billion by 2030, followed closely by virtual assistants (e.g., customer self-support agents) at $7.7 billion."

Omdia's complete forecast provides detailed breakdowns by vertical industry, geographic region, workload type, and use case, along with strategic insights to guide investment decisions in this rapidly evolving landscape.

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Agentic AI market set to soar to $41.8 billion by 2030, driven by automation needs, far outpacing traditional generative AI growth. Discover strategic insights for investment decisions.

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