基于代理的人工智慧市场规模、份额和成长分析（按代理类型、架构、交付类型、应用、部署模式、垂直产业和地区划分）－2025年至2032年产业预测

全球基于代理的人工智慧市场预计在 2024 年达到 55 亿美元，从 2025 年的 78.6 亿美元成长到 2033 年的 1366.6 亿美元，在预测期（2026-2033 年）内复合年增长率为 42.9%。

多智能体编配框架的演进和大规模语言模型推理技术的进步正在革新企业领域，并推动向自主系统的转型。在北美超过400亿美元创业投资的推动下，云端原生架构的应用正在激增。开放原始码解决方案正在帮助大规模进入这一领域，而大型企业则扮演着主导角色。竞争格局正在向平台生态系统演变，这些生态系统优先考虑资料主权合规性、编配可靠性和特定领域智能体模板的可用性。正如主要企业所证明的那样，高度专业化的多智能体系统对于解决复杂挑战和提高营运效率变得越来越重要。这种对智慧体之间无缝通讯和衝突解决的需求正在推动从单体架构转变为模组化、协作式、基于智慧体的框架。

全球智能体人工智慧市场驱动因素

全球基于代理的人工智慧市场的主要驱动力是各行各业对自动化日益增长的需求，这有助于提高营运效率和决策流程。企业正在采用基于代理的人工智慧技术来提升客户体验、简化工作流程并即时分析大量数据。机器学习、自然语言处理和机器人技术的进步推动了智慧自动化的发展，使企业能够部署能够适应自身行为并从中学习的自主系统。随着企业努力保持竞争优势，整合基于代理的人工智慧解决方案已成为必然之选，从而显着促进了市场成长。

全球智能体人工智慧市场限制因素

全球基于代理的人工智慧市场面临的主要限制因素之一是普遍存在的对资料隐私和安全的担忧。基于代理的人工智慧系统通常需要大量个人资料才能有效运行，这引发了用户和组织对敏感资讯外洩和滥用的担忧。这种担忧可能会阻碍基于代理的人工智慧技术的应用，尤其是在资料保密性至关重要的行业，例如医疗保健和金融。此外，与资料保护相关的严格法规和合规要求也带来了额外的挑战，企业在应对复杂的法律义务和公共信任环境时，可能会减缓创新和市场成长。

全球智能体人工智慧市场趋势

全球基于代理的人工智慧市场正呈现出明显的垂直整合服务趋势。具体而言，针对特定行业（例如IT、零售和金融）的託管代理服务正在蓬勃发展。面向中型企业的「代理即服务」功能的出现，使得企业能够更轻鬆地将智慧代理融入其业务流程，而无需承担巨额基础设施成本。这种向领域特定解决方案的转变不仅加快了价值实现速度，也影响着筹资策略，使企业优先考虑客製化、针对特定用例的应用程式。透过利用代理商执行网路维运、产品推荐和投诉处理等各种任务，企业正在优化效率并提升营运灵活性。

目录

介绍

• 调查目标
• 市场定义和范围

调查方法

• 调查过程
• 二手资料和一手资料方法
• 市场规模估算方法

执行摘要

• 全球市场展望
• 主要市场亮点
• 细分市场概览
• 竞赛概况

市场动态与展望

• 总体经济指标
• 驱动因素和机会
• 限制与挑战
• 供给面趋势
• 需求面趋势
• 波特的分析和影响

关键市场考察

• 关键成功因素
• 影响市场的因素
• 关键投资机会
• 生态系测绘
• 市场吸引力指数（2025）
• PESTEL 分析
• 价值链分析
• 定价分析
• 案例研究
• 监管环境
• 技术评估
• 技术评估
• 监管环境

全球基于代理的人工智慧市场规模（按代理类型和复合年增长率划分）（2026-2033 年）

• 单代理系统
• 多智能体系统

全球基于代理的人工智慧市场规模（按架构和复合年增长率划分）（2026-2033 年）

• 反应剂
• 审慎代理（BDI）
• 混/学习和规划代理

全球基于代理的人工智慧市场规模（按类型和复合年增长率划分）（2026-2033 年）

• 平台/基础设施
• 代理解决方案
• 服务

全球基于代理的人工智慧市场规模（按应用和复合年增长率划分）（2026-2033 年）

• 自主数位员工/虚拟助手
• 工作流程自动化与决策支持
• 业务营运
• 自主系统/机器人
• 客户服务/支援

全球基于代理的人工智慧市场规模（按部署模式和复合年增长率划分）（2026-2033 年）

• 云端基础的
• 本地部署
• 杂交种

全球基于代理的人工智慧市场规模（按产业垂直领域划分）及复合年增长率（2026-2033 年）

• 科技与软体
• 银行、金融和保险业 (BFSI)
• 医疗保健和生命科学
• 製造业
• 物流和供应链

全球基于代理的人工智慧市场规模及复合年增长率（2026-2033）

• 北美洲
  • 美国
  • 加拿大
• 欧洲
  • 德国
  • 西班牙
  • 法国
  • 英国
  • 义大利
  • 其他欧洲地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 亚太其他地区
• 拉丁美洲
  • 墨西哥
  • 巴西
  • 其他拉丁美洲地区
• 中东和非洲
  • 海湾合作委员会国家
  • 南非
  • 其他中东和非洲地区

竞争资讯

• 前五大公司对比
• 主要企业的市场定位（2025 年）
• 主要市场参与者所采取的策略
• 近期市场趋势
• 公司市占率分析（2025 年）
• 主要企业公司简介
  • 公司详情
  • 产品系列分析
  • 依业务板块进行公司股票分析
  • 2023-2025年营收年比比较

主要企业简介

• Microsoft
• Google/DeepMind
• OpenAI
• Anthropic
• IBM
• NVIDIA
• Amazon（AWS）
• Cohere
• Hugging Face
• Adept AI
• Inflection AI
• xAI（Elon Musk）
• Stability AI
• Mistral AI
• Jasper AI
• Runway
• Cerebras Systems
• Graphcore
• Lightmatter
• Scale AI

结论与建议

Global Agentic AI Market size was valued at USD 5.5 billion in 2024 and is poised to grow from USD 7.86 billion in 2025 to USD 136.66 billion by 2033, growing at a CAGR of 42.9% during the forecast period (2026-2033).

The evolution of multi-agent orchestration frameworks and advancements in large-language-model reasoning are revolutionizing the enterprise sector, driving a shift towards autonomous systems. Deployments leveraging cloud-native architecture have surged, bolstered by significant venture capital investment exceeding USD 40 billion in North America. Open-source solutions are facilitating entry for small to medium-sized enterprises, while larger corporations lead the way. The competitive landscape is evolving into platform ecosystems that prioritize compliance with data sovereignty, orchestration reliability, and the availability of domain-specific agent templates. Highly specialized multi-agent systems are becoming critical in solving complex challenges, fostering operational efficiencies, such as demonstrated by major firms. This demand for seamless inter-agent communication and dispute resolution is propelling the transition from monolithic to modular, collaborative agent-based frameworks.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Agentic AI market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Agentic AI Market Segments Analysis

Global Agentic AI Market is segmented by Agent Type, Architecture, Offering, Application, Deployment Mode, Industry and region. Based on Agent Type, the market is segmented into Single-Agent Systems and Multi-Agent Systems. Based on Architecture, the market is segmented into Reactive Agents, Deliberative Agents (BDI) and Hybrid / Learning & Planning Agents. Based on Offering, the market is segmented into Platforms / Infrastructure, Agent Solutions and Services. Based on Application, the market is segmented into Autonomous Digital Workers / Virtual Assistants, Workflow Automation & Decision Support, Enterprise Operations, Autonomous Systems / Robotics and Customer Service / Support. Based on Deployment Mode, the market is segmented into Cloud-Based, On-Premise and Hybrid. Based on Industry, the market is segmented into Technology & Software, BFSI, Healthcare & Life Sciences, Manufacturing and Logistics & Supply Chain. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Agentic AI Market

A key market driver for the Global Agentic AI Market is the increasing demand for automation across various industries, which enhances operational efficiency and decision-making processes. Organizations are leveraging agentic AI technologies to improve customer experiences, streamline workflows, and analyze large volumes of data in real-time. This push for intelligent automation is fueled by advancements in machine learning, natural language processing, and robotics, allowing businesses to deploy autonomous systems that can adapt and learn from actions. As companies strive to maintain a competitive edge, the integration of agentic AI solutions becomes essential, driving substantial growth in the market.

Restraints in the Global Agentic AI Market

One key market restraint for the global agentic AI market is the pervasive concern over data privacy and security. As agentic AI systems often require vast amounts of personal data to function effectively, users and organizations are increasingly wary of potential breaches and misuse of sensitive information. This apprehension can hinder the adoption of agentic AI technologies, particularly in sectors where data confidentiality is paramount, such as healthcare and finance. Additionally, stringent regulations and compliance requirements related to data protection may impose further challenges, slowing innovation and market growth as companies navigate the complex landscape of legal obligations and public trust.

Market Trends of the Global Agentic AI Market

The Global Agentic AI market is witnessing a significant trend towards verticalized services, where managed agent offerings increasingly cater to specific industries such as IT, retail, and finance. The emergence of "Agent-as-a-Service" capabilities for mid-market firms has made it easier for organizations to incorporate intelligent agents into their workflows without the burden of substantial infrastructural costs. This shift toward domain-specific solutions not only accelerates time-to-value but also influences procurement strategies favoring tailored, use-case-specific applications. By leveraging agents for diverse tasks like network operations, product recommendations, and claims processing, businesses are optimizing efficiency and enhancing operational agility.

Table of Contents

Introduction

• Objectives of the Study
• Market Definition & Scope

Research Methodology

• Research Process
• Secondary & Primary Data Methods
• Market Size Estimation Methods

Executive Summary

• Global Market Outlook
• Key Market Highlights
• Segmental Overview
• Competition Overview

Market Dynamics & Outlook

• Macro-Economic Indicators
• Drivers & Opportunities
• Restraints & Challenges
• Supply Side Trends
• Demand Side Trends
• Porters Analysis & Impact
  • Competitive Rivalry
  • Threat of Substitute
  • Bargaining Power of Buyers
  • Threat of New Entrants
  • Bargaining Power of Suppliers

Key Market Insights

• Key Success Factors
• Market Impacting Factors
• Top Investment Pockets
• Ecosystem Mapping
• Market Attractiveness Index, 2025
• PESTEL Analysis
• Value Chain Analysis
• Pricing Analysis
• Case Studies
• Regulatory Landscape
• Technology Assessment
• Technology Assessment
• Regulatory Landscape

Global Agentic AI Market Size by Agent Type & CAGR (2026-2033)

• Market Overview
• Single-Agent Systems
• Multi-Agent Systems

Global Agentic AI Market Size by Architecture & CAGR (2026-2033)

• Market Overview
• Reactive Agents
• Deliberative Agents (BDI)
• Hybrid / Learning & Planning Agents

Global Agentic AI Market Size by Offering & CAGR (2026-2033)

• Market Overview
• Platforms / Infrastructure
• Agent Solutions
• Services

Global Agentic AI Market Size by Application & CAGR (2026-2033)

• Market Overview
• Autonomous Digital Workers / Virtual Assistants
• Workflow Automation & Decision Support
• Enterprise Operations
• Autonomous Systems / Robotics
• Customer Service / Support

Global Agentic AI Market Size by Deployment Mode & CAGR (2026-2033)

• Market Overview
• Cloud-Based
• On-Premise
• Hybrid

Global Agentic AI Market Size by Industry & CAGR (2026-2033)

• Market Overview
• Technology & Software
• BFSI
• Healthcare & Life Sciences
• Manufacturing
• Logistics & Supply Chain

Global Agentic AI Market Size & CAGR (2026-2033)

• North America (Agent Type, Architecture, Offering, Application, Deployment Mode, Industry)
  • US
  • Canada
• Europe (Agent Type, Architecture, Offering, Application, Deployment Mode, Industry)
  • Germany
  • Spain
  • France
  • UK
  • Italy
  • Rest of Europe
• Asia Pacific (Agent Type, Architecture, Offering, Application, Deployment Mode, Industry)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Latin America (Agent Type, Architecture, Offering, Application, Deployment Mode, Industry)
  • Mexico
  • Brazil
  • Rest of Latin America
• Middle East & Africa (Agent Type, Architecture, Offering, Application, Deployment Mode, Industry)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2025
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2025
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2023-2025)

Key Company Profiles

• Microsoft
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Google / DeepMind
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• OpenAI
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Anthropic
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• IBM
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• NVIDIA
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Amazon (AWS)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Cohere
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Hugging Face
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Adept AI
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Inflection AI
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• xAI (Elon Musk)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Stability AI
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Mistral AI
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Jasper AI
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Runway
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Cerebras Systems
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Graphcore
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Lightmatter
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Scale AI
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendations