Global AI Intelligent Agent Market Growth (Status and Outlook) 2026-2032
Description
The global AI Intelligent Agent market size is predicted to grow from US$ 5450 million in 2025 to US$ 17740 million in 2032; it is expected to grow at a CAGR of 20.7% from 2026 to 2032.
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.
United States market for AI Intelligent Agent is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.
China market for AI Intelligent Agent is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.
Europe market for AI Intelligent Agent is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.
Global key AI Intelligent Agent players cover ServiceNow, UiPath, Automation Anywhere, SAP, Oracle, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2025.
LPI (LP Information)' newest research report, the “AI Intelligent Agent Industry Forecast” looks at past sales and reviews total world AI Intelligent Agent sales in 2025, providing a comprehensive analysis by region and market sector of projected AI Intelligent Agent sales for 2026 through 2032. With AI Intelligent Agent sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Intelligent Agent industry.
This Insight Report provides a comprehensive analysis of the global AI Intelligent Agent landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI Intelligent Agent portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Intelligent Agent market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Intelligent Agent and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI Intelligent Agent.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Intelligent Agent market by product type, application, key players and key regions and countries.
Segmentation by Type:
Cloud-Based
Local-Based
Segmentation by Perception and Interaction Parameters:
Text/Voice Type
Multimodal Type
Others
Segmentation by Task Structure Parameters:
Single Agent
Multi-Agent Collaboration
Procedure-Based Agent
Segmentation 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
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
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
Please note: The report will take approximately 2 business days to prepare and deliver.
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.
United States market for AI Intelligent Agent is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.
China market for AI Intelligent Agent is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.
Europe market for AI Intelligent Agent is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.
Global key AI Intelligent Agent players cover ServiceNow, UiPath, Automation Anywhere, SAP, Oracle, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2025.
LPI (LP Information)' newest research report, the “AI Intelligent Agent Industry Forecast” looks at past sales and reviews total world AI Intelligent Agent sales in 2025, providing a comprehensive analysis by region and market sector of projected AI Intelligent Agent sales for 2026 through 2032. With AI Intelligent Agent sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Intelligent Agent industry.
This Insight Report provides a comprehensive analysis of the global AI Intelligent Agent landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI Intelligent Agent portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Intelligent Agent market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Intelligent Agent and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI Intelligent Agent.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Intelligent Agent market by product type, application, key players and key regions and countries.
Segmentation by Type:
Cloud-Based
Local-Based
Segmentation by Perception and Interaction Parameters:
Text/Voice Type
Multimodal Type
Others
Segmentation by Task Structure Parameters:
Single Agent
Multi-Agent Collaboration
Procedure-Based Agent
Segmentation 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
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
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
Please note: The report will take approximately 2 business days to prepare and deliver.
Table of Contents
147 Pages
- *This is a tentative TOC and the final deliverable is subject to change.*
- 1 Scope of the Report
- 2 Executive Summary
- 3 AI Intelligent Agent Market Size by Player
- 4 AI Intelligent Agent by Region
- 5 Americas
- 6 APAC
- 7 Europe
- 8 Middle East & Africa
- 9 Market Drivers, Challenges and Trends
- 10 Global AI Intelligent Agent Market Forecast
- 11 Key Players Analysis
- 12 Research Findings and Conclusion
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