基於代理的人工智慧市場規模、佔有率和成長分析（按代理類型、架構、交付類型、應用、部署模式、垂直產業和地區分類）－2025年至2032年產業預測

全球基於代理的人工智慧市場預計在 2024 年達到 55 億美元，從 2025 年的 78.6 億美元成長到 2033 年的 1366.6 億美元，在預測期（2026-2033 年）內複合年成長率為 42.9%。

多智慧體編配框架的演進和大規模語言模型推理技術的進步正在革新企業領域，並推動向自主系統的轉型。在北美超過400億美元創業投資的推動下，雲端原生架構的應用正在激增。開放原始碼解決方案正在幫助大規模進入這一領域，而大型企業則扮演著主導角色。競爭格局正在向平台生態系統演變，這些生態系統優先考慮資料主權合規性、編配可靠性和特定領域智慧體模板的可用性。正如主要企業所證明的那樣，高度專業化的多智慧體系統對於解決複雜挑戰和提高營運效率變得越來越重要。這種對智慧體之間無縫通訊和衝突解決的需求正在推動從單體架構轉變為模組化、協作式、基於智慧體的框架。

全球智慧體人工智慧市場促進因素

全球基於代理的人工智慧市場的主要驅動力是各行各業對自動化日益成長的需求，這有助於提高營運效率和決策流程。企業正在採用基於代理的人工智慧技術來提升客戶體驗、簡化工作流程並即時分析大量數據。機器學習、自然語言處理和機器人技術的進步推動了智慧自動化的發展，使企業能夠部署能夠適應自身行為並從中學習的自主系統。隨著企業努力保持競爭優勢，整合基於代理的人工智慧解決方案已成為必然之選，從而顯著促進了市場成長。

全球智慧體人工智慧市場限制因素

全球基於代理的人工智慧市場面臨的主要限制因素之一是普遍存在的對資料隱私和安全的擔憂。基於代理的人工智慧系統通常需要大量個人資料才能有效運行，這引發了用戶和組織對敏感資訊外洩和濫用的擔憂。這種擔憂可能會阻礙基於代理的人工智慧技術的應用，尤其是在資料保密性至關重要的行業，例如醫療保健和金融。此外，與資料保護相關的嚴格法規和合規要求也帶來了額外的挑戰，企業在應對複雜的法律義務和公共信任環境時，可能會減緩創新和市場成長。

全球智慧體人工智慧市場趨勢

全球基於代理的人工智慧市場正呈現出明顯的垂直整合服務趨勢。具體而言，針對特定行業（例如IT、零售和金融）的託管代理服務正在蓬勃發展。面向中型企業的「代理即服務」功能的出現，使得企業能夠更輕鬆地將智慧代理融入其業務流程，而無需承擔巨額基礎設施成本。這種向領域特定解決方案的轉變不僅加快了價值實現速度，也影響著籌資策略，使企業優先考慮客製化、針對特定用例的應用程式。透過利用代理商執行網路維運、產品推薦和投訴處理等各種任務，企業正在最佳化效率並提升營運靈活性。

目錄

介紹

• 調查目標
• 市場定義和範圍

調查方法

• 調查過程
• 二手資料和一手資料方法
• 市場規模估算方法

執行摘要

• 全球市場展望
• 主要市場亮點
• 細分市場概覽
• 競賽概況

市場動態與展望

• 總體經濟指標
• 促進因素和機遇
• 限制與挑戰
• 供給面趨勢
• 需求面趨勢
• 波特的分析和影響

關鍵市場考察

• 關鍵成功因素
• 影響市場的因素
• 關鍵投資機會
• 生態系測繪
• 市場吸引力指數（2025）
• PESTEL 分析
• 價值鏈分析
• 定價分析
• 案例研究
• 監管環境
• 技術評估
• 技術評估
• 監管環境

全球基於代理的人工智慧市場規模（按代理類型和複合年成長率分類）（2026-2033 年）

• 單代理系統
• 多智慧體系統

全球基於代理的人工智慧市場規模（按架構和複合年成長率分類）（2026-2033 年）

• 反應劑
• 審慎代理（BDI）
• 混/學習和規劃代理

全球基於代理的人工智慧市場規模（按類型和複合年成長率分類）（2026-2033 年）

• 平台/基礎設施
• 代理解決方案
• 服務

全球基於代理的人工智慧市場規模（按應用和複合年成長率分類）（2026-2033 年）

• 自主數位員工/虛擬助手
• 工作流程自動化與決策支持
• 業務營運
• 自主系統/機器人
• 客戶服務/支援

全球基於代理的人工智慧市場規模（按部署模式和複合年成長率分類）（2026-2033 年）

• 雲端基礎的
• 本地部署
• 混合

全球基於代理的人工智慧市場規模（按產業垂直領域分類）及複合年成長率（2026-2033 年）

• 科技與軟體
• 銀行、金融和保險業 (BFSI)
• 醫療保健和生命科學
• 製造業
• 物流和供應鏈

全球基於代理的人工智慧市場規模及複合年成長率（2026-2033）

• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 西班牙
  • 法國
  • 英國
  • 義大利
  • 其他歐洲地區
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 亞太其他地區
• 拉丁美洲
  • 墨西哥
  • 巴西
  • 其他拉丁美洲地區
• 中東和非洲
  • 海灣合作理事會國家
  • 南非
  • 其他中東和非洲地區

競爭資訊

• 前五大公司對比
• 主要企業的市場定位（2025 年）
• 主要市場參與者所採取的策略
• 近期市場趨勢
• 公司市佔率分析（2025 年）
• 主要企業公司簡介
  • 公司詳情
  • 產品系列分析
  • 依業務板塊進行公司股票分析
  • 2023-2025年營收年比比較

主要企業簡介

• 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

結論與建議

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