The agentic AI tools market size has grown exponentially in recent years. It will grow from $10.38 billion in 2025 to $15.27 billion in 2026 at a compound annual growth rate (CAGR) of 47.2%. The growth in the historic period can be attributed to the growth of automation software, expansion of cloud computing platforms, adoption of AI in decision-support systems, increasing enterprise data volumes, and early deployment of virtual assistants.
The agentic AI tools market size is expected to see exponential growth in the next few years. It will grow to $65.92 billion in 2030 at a compound annual growth rate (CAGR) of 44.1%. The growth in the forecast period can be attributed to increasing enterprise demand for autonomous systems, advancements in reinforcement learning, integration of AI agents into business workflows, growing adoption of generative AI, and the increasing need for operational efficiency. Major trends in the forecast period include autonomous task-execution agents, multi-agent collaboration systems, self-learning decision engines, AI-driven workflow orchestration, and context-aware intelligent agents.
The increasing demand for automation is expected to support the growth of the agentic AI tools market going forward. Automation refers to the use of technology to execute tasks with minimal human intervention, thereby enhancing efficiency, accuracy, and productivity. The demand for automation is increasing due to the need to improve efficiency and productivity across business operations. Companies are looking to minimize manual efforts and streamline workflows through advanced technologies. Agentic AI tools strengthen automation by enabling autonomous decision-making and adaptive execution of complex tasks with limited human intervention. For instance, in April 2024, according to the International Federation of Robotics, a Germany-based international organization, manufacturing companies in the United States significantly expanded their automation efforts, with total industrial robot installations increasing by 12% to 44,303 units in 2023. Therefore, the increasing demand for automation is expected to drive the growth of the agentic AI tools market.
Major companies operating in the agentic AI tools market are focusing on technological advancements, such as the AI Refinery Platform, to strengthen their competitive position in the market. The AI Refinery Platform is an advanced AI-powered system designed to process, refine, and optimize raw data into actionable insights. For instance, in January 2025, Accenture plc, an Ireland-based professional services company, launched AI Refinery for Industry, which includes 12 industry-specific AI agent solutions designed to accelerate the adoption of agentic AI and optimize business processes. Built with NVIDIA AI Enterprise software, these agents enable the rapid deployment of customized AI networks, reducing development time from months to just days. The initial solutions address key challenges, including revenue growth management, clinical trial support, industrial asset troubleshooting, and B2B marketing optimization.
In October 2024, Thomson Reuters Corporation, a Canada-based content-driven technology solutions company, acquired Materia for an undisclosed amount. The acquisition is intended to accelerate its vision of delivering generative AI tools for tax, audit, and accounting professionals, improving efficiency, automating workflows, and enabling higher-value advisory services. Materia is a US-based company specializing in agentic AI solutions.
Major companies operating in the agentic ai tools market are Amazon Web Services Inc., Microsoft Corporation, International Business Machines Corporation, Salesforce Inc., NVIDIA Corporation, ServiceNow Inc., Sierra AI Inc., UiPath Inc., CoreWeave Inc., Anthropic PBC, Conversica Inc., Aisera Inc., Cognigy GmbH, Adept AI Inc., Fluid AI Inc., Parloa, Quiq Inc., Ciroos Inc., Zyphra Technologies Inc., Maisa AI, Alta, TinyFish, Algoscale, Cognition AI Inc., TestingXperts, OpenAI.
North America was the largest region in the agentic AI tools market in 2025. The regions covered in the agentic AI tools market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the agentic AI tools market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
This product will be delivered within 1-3 business days.
The agentic AI tools market size is expected to see exponential growth in the next few years. It will grow to $65.92 billion in 2030 at a compound annual growth rate (CAGR) of 44.1%. The growth in the forecast period can be attributed to increasing enterprise demand for autonomous systems, advancements in reinforcement learning, integration of AI agents into business workflows, growing adoption of generative AI, and the increasing need for operational efficiency. Major trends in the forecast period include autonomous task-execution agents, multi-agent collaboration systems, self-learning decision engines, AI-driven workflow orchestration, and context-aware intelligent agents.
The increasing demand for automation is expected to support the growth of the agentic AI tools market going forward. Automation refers to the use of technology to execute tasks with minimal human intervention, thereby enhancing efficiency, accuracy, and productivity. The demand for automation is increasing due to the need to improve efficiency and productivity across business operations. Companies are looking to minimize manual efforts and streamline workflows through advanced technologies. Agentic AI tools strengthen automation by enabling autonomous decision-making and adaptive execution of complex tasks with limited human intervention. For instance, in April 2024, according to the International Federation of Robotics, a Germany-based international organization, manufacturing companies in the United States significantly expanded their automation efforts, with total industrial robot installations increasing by 12% to 44,303 units in 2023. Therefore, the increasing demand for automation is expected to drive the growth of the agentic AI tools market.
Major companies operating in the agentic AI tools market are focusing on technological advancements, such as the AI Refinery Platform, to strengthen their competitive position in the market. The AI Refinery Platform is an advanced AI-powered system designed to process, refine, and optimize raw data into actionable insights. For instance, in January 2025, Accenture plc, an Ireland-based professional services company, launched AI Refinery for Industry, which includes 12 industry-specific AI agent solutions designed to accelerate the adoption of agentic AI and optimize business processes. Built with NVIDIA AI Enterprise software, these agents enable the rapid deployment of customized AI networks, reducing development time from months to just days. The initial solutions address key challenges, including revenue growth management, clinical trial support, industrial asset troubleshooting, and B2B marketing optimization.
In October 2024, Thomson Reuters Corporation, a Canada-based content-driven technology solutions company, acquired Materia for an undisclosed amount. The acquisition is intended to accelerate its vision of delivering generative AI tools for tax, audit, and accounting professionals, improving efficiency, automating workflows, and enabling higher-value advisory services. Materia is a US-based company specializing in agentic AI solutions.
Major companies operating in the agentic ai tools market are Amazon Web Services Inc., Microsoft Corporation, International Business Machines Corporation, Salesforce Inc., NVIDIA Corporation, ServiceNow Inc., Sierra AI Inc., UiPath Inc., CoreWeave Inc., Anthropic PBC, Conversica Inc., Aisera Inc., Cognigy GmbH, Adept AI Inc., Fluid AI Inc., Parloa, Quiq Inc., Ciroos Inc., Zyphra Technologies Inc., Maisa AI, Alta, TinyFish, Algoscale, Cognition AI Inc., TestingXperts, OpenAI.
North America was the largest region in the agentic AI tools market in 2025. The regions covered in the agentic AI tools market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the agentic AI tools market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
This product will be delivered within 1-3 business days.
Table of Contents
1. Executive Summary
2. Agentic AI Tools Market Characteristics
3. Agentic AI Tools Market Supply Chain Analysis
4. Global Agentic AI Tools Market Trends And Strategies
5. Agentic AI Tools Market Analysis Of End Use Industries
7. Global Agentic AI Tools Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis
8. Global Agentic AI Tools Total Addressable Market (TAM) Analysis for the Market
9. Agentic AI Tools Market Segmentation
10. Agentic AI Tools Market, Industry Metrics By Country
11. Agentic AI Tools Market Regional And Country Analysis
12. Asia-Pacific Agentic AI Tools Market
13. China Agentic AI Tools Market
14. India Agentic AI Tools Market
15. Japan Agentic AI Tools Market
16. Australia Agentic AI Tools Market
17. Indonesia Agentic AI Tools Market
18. South Korea Agentic AI Tools Market
19. Taiwan Agentic AI Tools Market
20. South East Asia Agentic AI Tools Market
21. Western Europe Agentic AI Tools Market
22. UK Agentic AI Tools Market
23. Germany Agentic AI Tools Market
24. France Agentic AI Tools Market
25. Italy Agentic AI Tools Market
26. Spain Agentic AI Tools Market
27. Eastern Europe Agentic AI Tools Market
28. Russia Agentic AI Tools Market
29. North America Agentic AI Tools Market
30. USA Agentic AI Tools Market
31. Canada Agentic AI Tools Market
32. South America Agentic AI Tools Market
33. Brazil Agentic AI Tools Market
34. Middle East Agentic AI Tools Market
35. Africa Agentic AI Tools Market
37. Agentic AI Tools Market Competitive Landscape And Company Profiles
38. Agentic AI Tools Market Other Major And Innovative Companies
41. Agentic AI Tools Market High Potential Countries, Segments and Strategies
42. Appendix
Executive Summary
Agentic AI Tools Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses agentic ai tools market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Reasons to Purchase:
- Gain a truly global perspective with the most comprehensive report available on this market covering 16 geographies.
- Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, inflation and interest rate fluctuations, and evolving regulatory landscapes.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on end user analysis.
- Benchmark performance against key competitors based on market share, innovation, and brand strength.
- Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
- Suitable for supporting your internal and external presentations with reliable high-quality data and analysis
- Report will be updated with the latest data and delivered to you along with an Excel data sheet for easy data extraction and analysis.
- All data from the report will also be delivered in an excel dashboard format.
Description
Where is the largest and fastest growing market for agentic ai tools? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The agentic ai tools market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Scope
Markets Covered:
1) By Technology: Reinforcement Learning (RL); Large Language Models (LLMs); Deep Learning-based AI Agents; Generative AI Agents; Multi-Agent Systems; Other Technologies2) By Deployment Model: Cloud-Based; On-Premises
3) By Organization Size: Large Enterprises; Small And Medium Enterprises (SMEs)
4) By Application: AI-Powered Virtual Assistants; Autonomous Decision-Making Systems; AI-Based Automation Tools; Customer Service And Chatbots; Self-Learning AI Agents; Autonomous Financial Trading Systems; AI-Driven Code Generation And Development; Other Applications
5) By Industry Vertical: Banking, Financial Services, And Insurance; Healthcare And Life Sciences; Retail And E-commerce; Manufacturing; Information Technology (IT) And Telecom; Automotive; Government And Defense; Other Industries
Subsegments:
1) By Reinforcement Learning: Model-Free Reinforcement Learning; Model-Based Reinforcement Learning; Hierarchical Reinforcement Learning; Multi-Agent Reinforcement Learning; Offline Reinforcement Learning; Inverse Reinforcement Learning2) By Large Language Models: Transformer-Based Large Language Models; Open-Source Large Language Models; Specialized Domain Large Language Models; Fine-Tuned Large Language Models For Specific Tasks; Multimodal Large Language Models; Knowledge-Augmented Large Language Models
3) By Deep Learning-based AI Agents: Text Generation Agents; Code Generation Agents; Image Generation Agents; Video And Audio Generation Agents; Music And Art Generation Artificial Intelligence; Autonomous Creative Agents
4) By Generative AI Agents: Text Generation Models; Image Generation Models; Video Generation Models; Speech Synthesis Models; Code Generation Models
5) By Multi-Agent Systems: Cooperative Multi-Agent Systems; Competitive Multi-Agent Reinforcement Learning; Distributed Artificial Intelligence Systems; Swarm Intelligence Agents; Decentralized Autonomous Organizations (DAOs) With Artificial Intelligence
6) By Other Technologies: Neuro-Symbolic Artificial Intelligence Agents; Causal Artificial Intelligence Agents; Quantum Artificial Intelligence Agents; Evolutionary Artificial Intelligence Agents; Edge Computing And Internet Of Things (IoT)-Based Agents
Companies Mentioned: Amazon Web Services Inc.; Microsoft Corporation; International Business Machines Corporation; Salesforce Inc.; NVIDIA Corporation; ServiceNow Inc.; Sierra AI Inc.; UiPath Inc.; CoreWeave Inc.; Anthropic PBC; Conversica Inc.; Aisera Inc.; Cognigy GmbH; Adept AI Inc.; Fluid AI Inc.; Parloa; Quiq Inc.; Ciroos Inc.; Zyphra Technologies Inc.; Maisa AI; Alta; TinyFish; Algoscale; Cognition AI Inc.; TestingXperts; OpenAI
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentations: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
- Amazon Web Services Inc.
- Microsoft Corporation
- International Business Machines Corporation
- Salesforce Inc.
- NVIDIA Corporation
- ServiceNow Inc.
- Sierra AI Inc.
- UiPath Inc.
- CoreWeave Inc.
- Anthropic PBC
- Conversica Inc.
- Aisera Inc.
- Cognigy GmbH
- Adept AI Inc.
- Fluid AI Inc.
- Parloa
- Quiq Inc.
- Ciroos Inc.
- Zyphra Technologies Inc.
- Maisa AI
- Alta
- TinyFish
- Algoscale
- Cognition AI Inc.
- TestingXperts
- OpenAI
