According to our (Global Info Research) latest study, the global AI Intelligent Agent market size was valued at US$ 5732 million in 2025 and is forecast to a readjusted size of US$ 17559 million by 2032 with a CAGR of 19.5% during review period.
AI agents are software entities capable of autonomously perceiving, understanding, planning, and executing tasks under set goals. They typically consist of a large model, tool invocation capabilities, memory and retrieval functions, and environmental interfaces. They can continuously make decisions and take actions throughout multi-step processes, thereby automating and scaling the closed loop of "understanding-planning-execution-feedback." This solves the problems of traditional automation, such as the need for manual orchestration, high costs of cross-system collaboration, and difficulty in implementing complex tasks, significantly improving efficiency and consistency. These products transform the bottleneck of "large models with brains but no hands" into actionable business capabilities, enabling automated delivery and observable operations across applications and data.
The value chain of the AI agent market exhibits a clear hierarchical structure: the upstream relies on high-density GPU/ASIC computing power and multimodal model capabilities (such as context length, inference score, and tool call coverage) to provide agents with basic computing power and cognitive capabilities; the midstream consists of agent frameworks and orchestration platforms, with core parameters including task success rate, concurrent QPS, auditing and SLA, as well as the number of enterprise system adaptations and integration time, which determine the efficiency and stability of deployment; downstream applications focus on improving KPIs in industry scenarios, such as the percentage increase in human efficiency, the decrease in error rate, SLA achievement rate, and the observability of process steps and monitoring items, directly reflecting value creation; future development trends lie in multi-agent collaboration (Agentic AI), the popularization of screen understanding and UI operation, the deployment of private and edge agents, and data governance and security native, thereby driving a comprehensive migration from single-point automation to end-to-end closed loop.
This report is a detailed and comprehensive analysis for global AI Intelligent Agent market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global AI Intelligent Agent market size and forecasts, in consumption value ($ Million), 2021-2032
Global AI Intelligent Agent market size and forecasts by region and country, in consumption value ($ Million), 2021-2032
Global AI Intelligent Agent market size and forecasts, by Type and by Application, in consumption value ($ Million), 2021-2032
Global AI Intelligent Agent market shares of main players, in revenue ($ Million), 2021-2026
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI Intelligent Agent
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI Intelligent Agent market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include ServiceNow, UiPath, Automation Anywhere, SAP, Oracle, Amazon Web Services, IBM, Nvidia, Cohere, Salesforce Einstein, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI Intelligent Agent market is split by Type and by Application. For the period 2021-2032, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Cloud-Based
Local-Based
Market segment by Perception and Interaction Parameters
Text/Voice Type
Multimodal Type
Others
Market segment by Task Structure Parameters
Single Agent
Multi-Agent Collaboration
Procedure-Based Agent
Market segment by Application
Enterprise Operations and Office
Customer Service and Marketing
R&D and IT Operations
Finance and Risk Control
Manufacturing and Quality Inspection
Supply Chain and E-commerce
Healthcare and Government Affairs
Others
Market segment by players, this report covers
ServiceNow
UiPath
Automation Anywhere
SAP
Oracle
Amazon Web Services
IBM
Nvidia
Cohere
Salesforce Einstein
OpenAI
Google(DeepMind)
Microsoft
Anthropic
Meta
Databricks
Snowflake
LangChain
DataRobot
SAS
Huawei Cloud
Alibaba Cloud
Baidu AI Cloud
Tencent Cloud
ByteDance
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI Intelligent Agent product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI Intelligent Agent, with revenue, gross margin, and global market share of AI Intelligent Agent from 2021 to 2026.
Chapter 3, the AI Intelligent Agent competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2021 to 2032.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2021 to 2026.and AI Intelligent Agent market forecast, by regions, by Type and by Application, with consumption value, from 2027 to 2032.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI Intelligent Agent.
Chapter 13, to describe AI Intelligent Agent research findings and conclusion.
Summary:
Get latest Market Research Reports on AI Intelligent Agent. Industry analysis & Market Report on AI Intelligent Agent is a syndicated market report, published as Global AI Intelligent Agent Market 2026 by Company, Regions, Type and Application, Forecast to 2032. It is complete Research Study and Industry Analysis of AI Intelligent Agent market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.