Over the next five years, the Agent AI market—encompassing multi-agent orchestration, advanced knowledge graph integration, and AI-driven workflow automation—is poised for significant growth. This segment is rapidly evolving from niche applications (like chatbots or automated schedulers) to more comprehensive solutions that handle complex tasks, adapt in real-time, and integrate with decentralized architectures.
Based on industry data, internal analyses, and reference points from global research agencies, we project a compound annual growth rate (CAGR) of approximately 38–42% in the Agent AI market over the 2024–2029 period. This growth is driven by:
- Enterprise Automation Needs
Enterprises increasingly seek AI agents for automating complex, multi-step processes—reducing operational costs and improving efficiency. - Advances in Large Language Models (LLMs)
Developments in foundation models (e.g., GPT and similar architectures) enable more robust agent orchestration, broadening the range of tasks Agent AIs can manage. - Decentralized & Tokenized Systems
A new wave of blockchain-powered AI applications (where agents are tokenized and can be traded, upgraded, or rented) boosts market momentum, introducing novel business models. - Scalability & Security Requirements
The emergence of secure knowledge graphs, extended context windows, and strict compliance needs (GDPR, CPRA, etc.) drives demand for more sophisticated agent frameworks.
Market Size Projections
Below is our projected global market valuation for Agent AI solutions from 2024 to 2029 (USD billions):
Estimates reflect a base-case scenario. Bull- and bear-case scenarios may vary depending on macroeconomic conditions, AI regulatory frameworks, and technological breakthroughs.
Key Growth Catalysts
- Wider Adoption in Key Sectors
- Financial Services: Automated agents in trading, compliance monitoring, and customer service.
- Healthcare: Clinical decision support, patient triage, and insurance claims processing.
- Manufacturing: Supply chain optimization, predictive maintenance, and AI-driven quality control.
- Shift Toward Intelligent Automation
As enterprises move beyond basic RPA (robotic process automation) to advanced AI-driven orchestration, Agent AI platforms become crucial for orchestrating decision-making across workflows. - Decentralized Platforms & Tokenization
Tokenizing AI agents offers new revenue models (e.g., rentals, marketplaces for AI “skills”), attracting fresh investment and fostering ecosystem growth. - Regulatory and Security Imperatives
Heightened security concerns and stringent data privacy laws are accelerating the need for robust, compliant solutions—particularly in BFSI (Banking, Financial Services, and Insurance) and healthcare. Agent AI frameworks that provide on-chain auditability and decentralized authentication gain a competitive edge.
References
- IDC Worldwide AI Market Forecast, 2023–2027
International Data Corporation (IDC), September 2023.
Provides comprehensive data on AI market segments, including automated agents, and outlines leading technology drivers. - Gartner: Emerging Tech Impact Radar for AI Agents, 2024
Gartner Research, December 2023.
Discusses the growing role of agent-based AI platforms in enterprise automation and the projected CAGR across industries. - MarketsandMarkets: Multi-Agent Systems Report, 2023
MarketsandMarkets, August 2023.
Details global agent-based solutions and their use cases, particularly in manufacturing, logistics, and customer service. - Goldman Sachs Investment Research – Internal Analysis & Industry Surveys
Goldman Sachs, AI & Innovation Division, January 2024.
Leverages proprietary surveys and expert interviews to refine TAM (total addressable market) and SAM (serviceable available market) estimates. - World Economic Forum, “The Future of Decentralized AI,” 2023
WEF Publications, October 2023.
Explores the intersection of blockchain and AI, highlighting agent-based frameworks as a key growth vector.
Conclusion
Backed by strong enterprise demand, technological advancements in LLMs, and the maturing ecosystem of decentralized AI solutions, the Agent AI market is positioned for robust expansion. We anticipate that by 2029, the market could exceed $24 billion, with upside potential fueled by rapid innovation and adoption in multiple verticals.
From an investment standpoint, early entrants focusing on scalable, secure, and tokenized Agent AI solutions could capture a sizable share of this evolving market. The pace of transformation, however, hinges on regulatory clarity, interoperability standards, and continuous improvements in AI performance and data security. Goldman Sachs remains committed to monitoring these developments, providing insights into emerging opportunities and guiding strategic capital allocation in this dynamic landscape.
This report is for informational purposes only and does not constitute investment advice or a recommendation of any financial instrument or security.
