AI Agent Market Size & Insights

According to MarkNtel Advisors study The future of 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.

What are the Key Driver in the 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- Market Size & Forecast 2020-2030, USD Million
• Natural Language Processing (NLP) - Market Size & Forecast 2020-2030, USD Million
• Deep Learning- Market Size & Forecast 2020-2030, USD Million
• Computer Vision- Market Size & Forecast 2020-2030, USD Million
• Others- Market Size & Forecast 2020-2030, USD Million
• By Application
• Customer Service and Virtual Assistants- Market Size & Forecast 2020-2030, USD Million
• Robotics and Automation- Market Size & Forecast 2020-2030, USD Million
• Healthcare- Market Size & Forecast 2020-2030, USD Million
• Financial Services- Market Size & Forecast 2020-2030, USD Million
• Security and Surveillance- Market Size & Forecast 2020-2030, USD Million
• Gaming and Entertainment- Market Size & Forecast 2020-2030, USD Million
• Marketing and Sales- Market Size & Forecast 2020-2030, USD Million
• Human Resources- Market Size & Forecast 2020-2030, USD Million
• Legal and Compliance- Market Size & Forecast 2020-2030, USD Million
• Others- Market Size & Forecast 2020-2030, USD Million

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How does geographical analysis highlight in the AI Agent market?

• By Region
• North America
• South America
• Europe
• The Middle East & Africa
• Asia-Pacific

Who are the Key Players in AI Agent Market?

• Alibaba Group Holdings
• Amazon Web Services
• Apple Inc.
• Baidu
• IBM Corporation
• Google
• Meta
• Microsoft
• NVIDIA Corporation
• Salesforce, Inc.
• Fluid AI
• OpenAI
• Cognosys
• Cognigy

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AI Agent Market News

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.

2025: Baidu launched GenFlow 2.0 during its AI Day event. This general AI agent was introduced by Baidu Wenku and Baidu Drive (Netdisk), Baidu's AI-powered productivity applications, to handle tasks more efficiently.

Key pillars of the research methodology include:

·       Scope & Research Design – Clearly defined objectives with tailored qualitative and quantitative methods, backed by precise timelines and budgets.

·       Sample Selection & Data Collection – Representative samples achieved through proven techniques like random and stratified sampling, supported by reliable tools such as surveys, interviews, and observations.

·       Data Analysis & Validation – Rigorous cleaning, advanced statistical modeling, and thematic analysis ensure accuracy, reliability, and minimal bias.

·       Forecasting & Finalization – Predictive modeling and time-series analysis anticipate future market behaviors, presented through insightful reports with charts, graphs, and strategic recommendations.

"Our methodology reflects the trust businesses place in us. By combining innovation with precision, we deliver not just numbers, but clarity and direction for decision-makers worldwide," said a spokesperson for MarkNtel Advisors.

Why This MarkNtel Advisors Research Report:

• In-depth Market Analysis: Understand trends and dynamics shaping growth.
• Segmented Insights: Target specific segments for focused strategies.
• Geographical Performance: Assess market opportunities by geographic area.
• Emerging Technologies: Discover advancements like AI integration.
• Risk Identification: Pinpoint challenges to inform strategic planning.
• Future Forecasts: Prepare for market changes with actionable projections.

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