The Business Research Company’s report on the Agentic AI Tools Market provides insights into the global market size, growth rate, regional distribution, competitive landscape, key segments, emerging trends, and strategic opportunities.
#How have key drivers contributed to the rapid growth of the agentic ai tools market?
The increasing demand for automation is expected to drive the growth of the agentic AI tools market going forward. Automation refers to the use of technology to perform tasks with minimal human intervention, improving efficiency, accuracy, and productivity. The demand for automation is growing due to the need for increased efficiency and productivity in business operations. Companies seek to reduce manual effort and accelerate workflows through advanced technologies. Agentic AI tools enhance automation by enabling autonomous decision-making and adaptive execution of complex tasks without human intervention. For instance, in June 2023, according to the International Trade Administration, a US-based government agency, in 2022, Japanese companies produced 45% of all industrial robots worldwide, with orders reaching a record $7.35 billion (a 1.6% increase from 2021) and production growing by 5.6%. Therefore, the increasing demand for automation is driving the growth of the agentic AI tools market.
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How has the agentic ai tools market size evolved, and what are the latest forecasts for its expansion?
The agentic AI tools market size has grown exponentially in recent years. It will grow from $6.67 billion in 2024 to $10.41 billion in 2025 at a compound annual growth rate (CAGR) of 56.1%. The growth in the historic period can be attributed to advancements in machine learning and deep learning, growth of large language models (LLMs), increasing demand for automation and efficiency, rise of autonomous systems and robotics, and improvements in natural language processing (NLP).
The agentic AI tools market size is expected to see exponential growth in the next few years. It will grow to $61.45 billion in 2029 at a compound annual growth rate (CAGR) of 55.9%. The growth in the forecast period can be attributed to the integration of AI agents in enterprise workflows, advancements in multimodal AI models, increasing demand for personalized and adaptive AI, expansion of autonomous decision-making systems, and growth of AI-driven automation in creative and knowledge work. Major trends in the forecast period include enhanced reasoning capabilities in AI agents, real-time autonomous AI collaboration, integration of AI agents with IoT and edge computing, the evolution of self-improving AI models, and seamless multimodal interaction across text, voice, and vision.
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Which major companies dominate the agentic ai tools market?
Major companies operating in the agentic AI tools market are Amazon Web Services Inc., Microsoft Corporation, International Business Machines Corporation, Oracle Corporation, SAP SE, Salesforce Inc., NVIDIA Corporation, Intuit Inc., ServiceNow Inc., Sierra AI Inc., UiPath Inc., CoreWeave Inc., Asana Inc., Anthropic PBC, Conversica Inc., Aisera Inc., Helpshift Inc., Cognigy GmbH, Cognosys Inc., Adept AI Inc., Fluid AI Inc.
What trends will shape the future of the aerospace logistics service market?
Major companies operating in the agentic AI tools market are focusing on technological advancements, such as AI Refinery Platform, to gain a competitive edge in the market. AI Refinery Platform is an advanced AI-driven 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 features 12 industry-specific AI agent solutions aimed at accelerating the adoption of agentic AI and optimizing business processes. Built with NVIDIA AI Enterprise software, these agents can rapidly deploy customized AI networks, reducing development time from months to just days. The initial solutions target key challenges, including revenue growth management, clinical trial support, industrial asset troubleshooting, and B2B marketing optimization.
Which region dominates the agentic ai tools market, and what factors contribute to its leadership?
North America was the largest region in the agentic AI tools market in 2024. The regions covered in the agentic AI tools market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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How is the agentic ai tools market segmented, and which segment holds the largest share?
The agentic AI tools market covered in this report is segmented –
1) By Technology: Reinforcement Learning (RL), Large Language Models (LLMs), Deep Learning-based AI Agents, Generative AI Agents, Multi-Agent Systems, Other Technologies
2) By Deployment Model: Cloud-based, On-Premises
3) By Organization Size: Large Enterprises, Small & 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 Learning
2) 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
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How is the agentic ai tools market defined, and what are its core characteristics?
Agentic AI tools refer to artificial intelligence (AI)-powered systems or tools that demonstrate autonomy, decision-making capabilities, and proactive behavior in achieving specific goals. These tools can plan and execute tasks, adapt to new information, and operate with minimal human intervention.
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