The agentic AI market is projected to grow from USD 13.81 billion in 2025 to USD 140.80 billion in 2032, with a CAGR of 39.3% during 2025–2032. The agentic AI market is growing fast, driven by increasing support from agentic AI platforms for fine-tuning agents on domain-specific reinforcement learning from human feedback (RLHF), chain of thought reasoning (CoT), and behavior datasets. Code-interpreter agents write, test, debug, and execute code to complete complex tasks, allowing agents to refine their methods iteratively; sandboxes help fine-tune agent behavior under edge cases, mainly for mission-critical applications, which helps grow confidence in the agentic AI solutions. However, most agentic AI platforms rely on commercial LLMs (e.g., GPT-4, Claude) as core reasoners, which may restrain market growth. This creates vendor lock-in, cost scalability issues, and operational risks if APIs fail or change. Without unified memory standards, agents cannot collaborate effectively or retain institutional knowledge reliably.

“Planning and decision support application segment is expected to register the fastest market growth rate during the forecast period”
The planning and decision support subsegment is expected to grow at the highest CAGR within the agentic AI application landscape due to its critical role in enabling autonomous, context-aware, and goal-driven operations across industries. Agentic AI systems are uniquely positioned to enhance strategic decision-making by simulating scenarios, optimizing resource allocation, and dynamically adjusting plans in response to real-time data. With advancements in multi-agent coordination, memory-augmented reasoning, and chain-of-thought logic, these systems can manage complex decision trees far beyond the scope of traditional automation tools. Enterprises are increasingly deploying planning agents for supply chain optimization, investment portfolio management, policy simulation, and emergency response planning?areas where timely and accurate decisions are mission-critical. The ability of agentic systems to adaptively learn, reason over multi-step processes, and interface with enterprise systems through APIs and data pipelines makes them indispensable for forward-looking organizations seeking competitive agility.

“Technology providers enterprise end user segment is expected to account for the largest market share during the forecast period”
The technology providers subsegment is expected to hold the largest market share in the agentic AI market due to the role of providers in building, deploying, and commercializing foundational agentic capabilities across industries. These providers, ranging from cloud hyperscalers and AI model developers to platform-as-a-service (PaaS) vendors, rapidly embed agentic functions such as memory persistence, autonomous tool use, long-horizon planning, and contextual reasoning into their ecosystems. Their ability to fine-tune large models, deploy multi-agent frameworks, and provide developer APIs gives them a first-mover advantage in enabling scalable, customizable, and interoperable agentic solutions. Additionally, technology providers are leveraging modular architectures and open agent protocols to drive ecosystem adoption, while also integrating advanced capabilities such as retrieval-augmented generation (RAG), chain-of-thought scaffolding, and function calling. These innovations empower other enterprises to build their own domain-specific agents, making technology providers the backbone of agentic AI adoption and expansion across verticals.

“North America is expected to hold the largest market share and Asia Pacific is projected to grow at the fastest rate during the forecast period”
North America is expected to hold the largest share in the agentic AI market during the forecast period, driven by early adoption, strong cloud infrastructure, and the presence of key innovators such as OpenAI, Google, Microsoft, and AWS. The region benefits from a mature AI ecosystem, government-backed R&D (e.g., DARPA and NSF initiatives), and enterprise readiness to implement autonomous, agent-driven workflows across defense, finance, and software sectors. In contrast, the Asia Pacific region is projected to grow at the highest CAGR, fueled by aggressive digital transformation efforts, rising investments in AI research from countries like China, Japan, South Korea, and Singapore, and a rapidly expanding base of AI startups. The regional governments are rolling out strategic frameworks and sandboxes to accelerate agent-based automation in manufacturing, public services, and telecom sectors. This dual dynamic reflects North America’s current technological leadership and Asia Pacific’s growing momentum in scalable agentic AI deployment.

Breakdown of primaries

In-depth interviews were conducted with chief executive officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the agentic AI market.

  • By Company: Tier I – 29%, Tier II – 42%, and Tier III – 29%
  • By Designation: C-Level Executives – 27%, D-Level Executives – 39%, and others – 34%
  • By Region: North America – 41%, Europe – 27%, Asia Pacific – 24%, Middle East & Africa – 3%, and Latin America – 5%

The report includes the study of key players offering agentic AI solutions. It profiles major vendors in the agentic AI market. These include IBM (US), NVIDIA (US), OpenAI (US), Oracle (US), Microsoft (US), Google (US), AWS (US), Salesforce (US), LivePerson (US), Waymo (US), Tempus Al (US), Mobileye (Israel), Uber (US), DJI (China), Boston Dynamics (US), Shield Al (US), Anduril Industries (US), AeroVironment (US), Tesla (US), Kore.ai (US), Ameila (US), Softbank Robotics (Canada), Aisera (US), Rasa (US), Stability AI (UK), Infinitus Systems (US), Level Al (US), Leena AI (US), Cujo Al (US), Skydio (US), Cognigy (Germany), ANYbotics (Switzerland), Badger Technologies (US), Monica AI (China), Deeproute.ai (US), Adept (US), Nanonets (US), Wayve (UK), Seegrid (US), and Blue River Technologies (US).

Research Coverage

This research report categorizes the agentic AI market by offering (Software and Services), by agent role (marketing, sales, IT support & service management, finance & accounting, operations & supply chain, and other agent roles), by technology (machine learning, natural language processing, computer vision, embodied AI, and generative AI), by application (workflow automation, inspection & monitoring, navigation & mobility, planning & decision support, knowledge retrieval & reasoning, simulation & virtual autonomy training, environment perception & scene understanding, and other applications), by end-user (individual users, and enterprises [BFSI, telecommunication, government & defense, healthcare & life sciences, manufacturing, media & entertainment, retail & e-commerce, technology providers, professional service providers, law firms, transportation & logistics, energy & utilities, and other enterprises]), and by region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the agentic AI market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, new product & service launches, mergers and acquisitions, and recent developments associated with the market. This report covers a competitive analysis of upcoming startups in the Agentic AI market ecosystem.

Key Benefits of Buying the Report
The report would provide the market leaders/new entrants with information on the closest approximations of the revenue numbers for the overall agentic AI market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to better position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers

  • Analysis of key drivers (rapid adoption of LLM orchestration frameworks accelerating autonomous agent deployment, advances in edge AI and neuromorphic chips enabling real-time autonomy in physical systems, growing demand for cost-effective, continuous operations driving autonomous system investments, and rising industrial use of autonomous robotics boosting efficiency in logistics, agriculture, and field services), restraints (limited generalization across dynamic, multi-modal environments continues to constrain deployment and lack of explainability in LLM-driven decisions hinders trust and regulatory clearance), opportunities (autonomous agents are scaling across BFSI, telecom, and manufacturing for digital transformation, expanding human-machine collaboration via agent-augmented collaborative robots (cobots), and emerging AI regulations are unlocking new markets for compliant autonomy), and challenges (fragmented autonomy stacks and missing interoperability standards restrict system integration and legal and ethical gaps around autonomous actions are delaying adoption in regulated sectors)
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the agentic AI market
  • Market Development: Comprehensive information about lucrative markets – analysis of the agentic AI market across varied regions
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the agentic AI market
  • Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as IBM (US), NVIDIA (US), OpenAI (US), Oracle (US), Microsoft (US), Google (US), AWS (US), Salesforce (US), LivePerson (US), Waymo (US), Tempus Al (US), Mobileye (Israel), Uber (US), DJI (China), Boston Dynamics (US), Shield Al (US), Anduril Industries (US), AeroVironment (US), Tesla (US), Kore.ai (US), Ameila (US), Softbank Robotics (Canada), Aisera (US), Rasa (US), Stability AI (UK), Infinitus Systems (US), Level Al (US), Leena AI (US), Cujo Al (US), Skydio (US), Cognigy (Germany), ANYbotics (Switzerland), Badger Technologies (US), Monica AI (China), Deeproute.ai (US), Adept (US), Nanonets (US), Wayve (UK), Seegrid (US), and Blue River Technologies (US)
  • The report also helps stakeholders understand the pulse of the agentic AI market and provides them with information on key market drivers, restraints, challenges, and opportunities