Soaring Demand Set to Propel Agentic AI Tools Market to $60.64 Billion by 2029

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What Is the Expected CAGR for the Agentic AI Tools Market Through 2025?
The market size for agentic AI tools has witnessed a substantial surge in recent times. It is projected to expand from $6.67 billion in 2024 to reach $10.38 billion in 2025, recording a compound annual growth rate (CAGR) of 55.6%. This remarkable growth during the historical period is due to factors such as the breakthroughs in machine learning and deep learning techniques, the emergence of large language models (LLMs), growing demand for increased automation and efficiency, the proliferation of autonomous systems and robotics, and advancements in natural language processing (NLP).

What's the Projected Size of the Global Agentic AI Tools Market by 2029?
Predictions suggest a massive escalation in the size of the agentic ai tools market within the forthcoming years. By 2029, the market is projected to burgeon to a whopping $60.64 billion, exhibiting a compound annual growth rate (CAGR) of 55.5%. The propelling factors for this anticipated surge during the said period include the incorporation of AI agents into corporate processes, developments in multimodal AI schemas, growing demand for adaptable and tailored AI, the surge in autonomous decision-making systems, and the amplification of AI-powered automation in intellectual and creative tasks. The forecast period is expected to witness significant trends such as the augmentation of problem-solving abilities in AI agents, real-time self-reliant AI cooperation, fusion of AI agents with IoT and edge computing, the progression of self-enhancing AI frameworks, and flawless multimodal interchange via text, voice and visual means.

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Top Growth Drivers in the Agentic AI Tools Industry: What's Accelerating the Market?
The surge in automation demand is anticipated to propel the expansion of the agentic AI tools industry. Automation utilizes technology to execute tasks with little to no human involvement, thereby improving proficiency, precision, and productivity. This escalating demand for automation is attributed to the necessity for enhanced efficiency and productivity in business operations. Organizations are aiming to decrease manual labor and speed up workflows through sophisticated technologies. Agentic AI tools amplify automation as they enable self-governing decisions and adaptive execution of intricate tasks without human involvement. For instance, in June 2023, the International Trade Administration, a US government agency, reported that in 2022, Japanese corporations manufactured 45% of all worldwide industrial robots, with orders reaching a record sum of $7.35 billion (an increase of 1.6% from 2021), and production surging by 5.6%. Thus, the rising demand for automation is fueling the development of the agentic AI tools market.

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What Trends Will Shape the Agentic AI Tools Market Through 2029 and Beyond?
Leading organizations in the agentic AI tools market are putting their efforts into tech innovation, including the development of AI Refinery Platforms, to establish a competitive advantage. This advanced, AI-fueled system is engineered to convert raw data into applicable insights. For example, in January 2025, accenture* plc, a professional services firm based in Ireland, introduced AI Refinery for Industry, which encompasses 12 unique AI agent solutions specific to various industries. These solutions serve to hasten the adoption of agentic AI and enhance business operations. Enabled by NVIDIA AI Enterprise software, these agents are designed to quickly launch tailored AI networks, thus narrowing down the development timeline from months to mere days. The initial set of solutions tackle significant issues such as revenue growth management, support for clinical trials, troubleshooting for industrial assets, and optimization of B2B marketing.

What Are the Main Segments in the Agentic AI Tools Market?
The agentic ai toolsmarket 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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Which Top Companies are Driving Growth in 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.

Which Regions Will Dominate the Agentic AI Tools Market Through 2029?
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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