New Omdia Analysis Shows Agentic AI Outpacing Growth Rates of Traditional Generative AI

According to Omdia's latest analysis, the enterprise agentic AI software market is projected to experience remarkable growth, expanding from $1.5 billion in 2025 to a staggering $41.8 billion by 2030. This growth rate positions agentic AI as one of the fastest-growing segments in enterprise technology. The report highlights that agentic AI significantly outperforms traditional generative AI, particularly in their respective early adoption phases. While generative AI's initial five-year compound annual growth rate (CAGR) from 2022 to 2027 is forecasted at 90%, agentic AI is anticipated to reach an impressive CAGR of 175% between 2024 and 2029.

The accelerated adoption of agentic AI stems from enterprise demands for enhanced automation, with 39% of early adopters citing reduced costs and improved employee productivity as their primary reasons for implementing these technologies. Furthermore, prior investments in generative AI infrastructure have facilitated a smoother market entry for agentic AI, enabling companies to achieve quicker returns on investment.

Neil Dunay, Omdia's Principal Forecaster, noted that by 2030, agentic AI is expected to constitute 31% of the overall generative AI market, a significant increase from just 6% in 2025. Key use cases driving this growth include automated code development, projected to reach $8.2 billion by 2030, and virtual assistants, which are expected to generate $7.7 billion. Omdia’s comprehensive forecast also offers insights broken down by industry, region, and specific use cases, providing valuable guidance for investment strategies in this rapidly advancing landscape.

The recent Omdia analysis reveals a promising trajectory for the enterprise agentic AI market, projecting its growth from $1.5 billion in 2025 to an astonishing $41.8 billion by 2030. This growth, characterized by a compound annual growth rate (CAGR) of 175% over its first five years, highlights the sector’s potential as a significant player in the enterprise technology landscape, outpacing traditional generative AI, which is expected to grow at a 90% CAGR during the same period.

For investors looking to capitalize on this trend, aligning with companies that are harnessing agentic AI capabilities is essential. The primary drivers for this technology's adoption—cost reduction and increased productivity—suggest businesses are increasingly prioritizing automation. Consequently, focusing on sectors and enterprises that are early adopters of these technologies could yield substantial returns as the market matures.

The report indicates that automated code development will become the largest use case, valuing $8.2 billion by 2030, while virtual assistants will also take a sizable share at $7.7 billion. Therefore, investment into software companies focused on these applications may be prudent.

Moreover, infrastructure investments made in generative AI have created a conducive environment for rapid agentic AI deployment. This presents a unique investment opportunity as companies leveraging existing infrastructures for agentic AI may achieve quicker returns.

In conclusion, as agentic AI solidifies its position within the broader generative AI market—expected to account for 31% by 2030—advisors should recommend portfolio diversification toward firms innovating in this space. Continuous monitoring of market trends and use case developments will be key in making informed investment decisions amidst this evolving landscape.