AI Agent Market Growth Outlook 2030: Volume Trends & Strategic Insights
Category: Technology | Published: September 5, 2025
Global AI Agent Market Size & Insights
The Global AI Agent Market size is valued at around USD 5.32 billion in 2025 and is projected to reach USD 42.7 billion by 2030. Along with this, the market is estimated to grow at a CAGR of around 41.50% during the forecast period, i.e., 2025-30.
The AI Agent Market is significantly growing due to several growth factors, including the rapidly growing gaming industry, the rising demand for electronic devices, including TVs, smartphones, monitors, wearables, etc., the infrastructural development & expansion of production facilities, and the integration of artificial intelligence in AI Agent.Â
What are the Key DROs in the Global AI Agent Market?
Digital Transformation & Enterprise Automation Driving Market Demand – The market growth is driven by the rapid shift towards digital transformation of the businesses, including financial services, retail, education, media, entertainment, etc., globally. This has increased the demand for smart tools, such as AI agents, to analyze and obtain relevant data and information precisely. Approximately 60% of the global companies have fully adopted digital transformations, which has increased the market demands worldwide.
Additionally, the enterprises are switching to automating their tasks, for which they require AI agents to work smoothly, fast, and with lower operational costs, thus increasing the market growth. Consequently, 80% of enterprises shifting to automation and digital transformation are using AI Agents to perform their daily tasks. For instance, in 2025, the GitHub company integrated a coding agent into GitHub Copilot. Similarly, in 2025, the CapitalOne company launched an AI agent to assist consumers in buying cars. These integrations are significantly driving the market revenue growth.
What are the Key Segments in the AI Agent Market?
The AI Agent is categorized into notable segments, which help in understanding the structure, dynamics, and opportunities within the market. These segments are typically based on:
-By Type
- Ready-to-Deploy Agents- Market Size & Forecast 2020-2030, USD Million
- Build-Your-Own Agents - Market Size & Forecast 2020-2030, USD Million
-By Agent System
- Single Agent Systems- Market Size & Forecast 2020-2030, USD Million
- Multi Agent Systems- Market Size & Forecast 2020-2030, USD Million
-By Technology
- Machine Learning
- Natural Language Processing (NLP)
- Deep Learning
- Computer Vision (CV)
- Others
Out of these, machine learning holds the largest market share of about 35%. This is leading due to machine learning being the foundation of all other technologies, such as deep learning, computer vision, natural language processing, etc.,
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-By Application
- Customer Service and Virtual Assistants
- Robotics and Automation
- Healthcare
- Financial Services
- Security and Surveillance
- Gaming and Entertainment
- Marketing and Sales
- Human Resources
- Legal and Compliance
- Others
Among these, the Customer Services and virtual assistants are the leading application areas, with a market share of more than 32%.
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-By Region
- North America
- South America
- Europe
- The Middle East and Africa
- Asia-Pacific
North America is leading the Global AI Agent Market, accounting for more than 40% market share. This region is dominating the global market due to the presence of top tech companies, such as Microsoft, IBM, Amazon, Anthropic, etc.,
Who are the Key Players in AI Agent Market?
- Alibaba Group Holdings
- Amazon Web Services
- Apple Inc.
- Baidu
- IBM Corporation
- Meta
- Microsoft
- NVIDIA Corporation
- Salesforce, Inc.
- Fluid AI
- OpenAI
- Cognosys
- Cognigy
- Others
Global AI Agent Industry Recent Development:
- 2025: OpenAI introduced the ChatGPT Agent, marking a significant advancement in AI capabilities. This feature enables ChatGPT to autonomously perform complex tasks, such as navigating websites, filling out forms, editing documents, and running code, all while maintaining user control.
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- Risk Identification: Pinpoint challenges to inform strategic planning.
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