全球基於代理的人工智慧市場規模、佔有率、趨勢和成長分析報告（2026-2034）

全球基於代理的人工智慧市場預計將從2025年的69.6億美元成長至2034年的1,667.3億美元，2026年至2034年的複合年成長率（CAGR）將達到42.32%。隨著企業採用能夠自主推理、規劃和執行任務的自主系統，該市場正以驚人的速度成長。與傳統人工智慧工具不同，基於代理的人工智慧可以做出決策、與軟體環境互動並持續改善結果。企業對自動化日益成長的需求以及生成式人工智慧的快速發展正在推動市場需求。

關鍵成長要素包括生產力提升、勞動效率提高和成本最佳化。企業正在部署人工智慧代理，用於客戶支援、工作流程自動化、編碼輔助和資料分析。雲端運算的普及、人工智慧投資的增加以及模型效能的提升，使得各種規模的企業都能更輕鬆地採用人工智慧技術。金融、醫療保健、零售和製造業的濃厚興趣正在推動市場擴張。

隨著自主數位員工逐漸成為主流，市場前景依然十分光明。基於代理的人工智慧將變革企業的運作方式，減少重複性工作，並協助企業做出更明智的決策。隨著可靠性、監管和互通性的不斷提升，這項技術有望成為全球下一代數位轉型的基石。

我們的報告經過精心撰寫，旨在提供涵蓋廣泛行業和市場的全面且切實可行的洞察。每份報告都包含幾個關鍵組成部分，旨在幫助您全面了解市場環境：

市場概覽：本節提供清晰的市場概覽，包括關鍵定義、分類和當前產業格局。

市場動態：對影響市場成長的主要促進因素、限制因素、機會和挑戰進行詳細評估。這包括技術發展、法律規範和不斷變化的行業趨勢等因素。

市場區隔分析：本部分依據產品類型、應用、最終使用者和地區，將市場系統性地分類為若干關鍵細分市場。本部分揭示了每個細分市場的表現、成長潛力和貢獻。

競爭格局：我們對主要市場參與企業的市場定位、產品系列、策略舉措和財務表現進行了詳細評估。這為了解競爭對手的趨勢和主要參與者所採取的策略提供了寶貴的見解。

市場預測：本預測是基於指定預測期內的市場規模和成長模式數據。本節結合歷史趨勢、當前市場狀況和定量分析，揭示未來預期趨勢。

區域分析：我們全面檢驗主要地理區域的市場趨勢，並識別高成長領域和區域趨勢，以更深入地了解每個區域的市場機會。

新趨勢與新機會：識別關鍵市場趨勢、技術進步和新興投資機會。本部分重點在於潛在成長領域和未來產業趨勢。

客製化選項：我們提供靈活的客製化服務，可根據您的具體需求自訂報告。這包括額外的細分、特定國家/地區的分析、競爭對手分析、客製化資料點，或針對特定細分市場的深入洞察，以更好地支援您的策略決策。

目錄

第1章：引言

第2章執行摘要

第3章 市場變數、趨勢與框架

• 市場譜系展望
• 滲透率和成長前景分析
• 價值鏈分析
• 法律規範
  • 標準與合規性
  • 監管影響分析
• 市場動態
  • 市場促進因素
  • 市場限制因素
  • 市場機遇
  • 市場挑戰
• 波特五力分析
• PESTLE分析

第4章：全球基於代理的人工智慧市場：按組件分類

• 市場分析、洞察與預測
• 解決方案
• 服務

第5章：全球基於代理的人工智慧市場：按部署模式分類

• 市場分析、洞察與預測
• 現場
• 雲
• 混合

第6章：全球基於代理的人工智慧市場：按組織規模分類

• 市場分析、洞察與預測
• 中小企業
• 大公司

第7章：全球基於代理的人工智慧市場：按最終用戶產業分類

• 市場分析、洞察與預測
• 衛生保健
• BFSI
• IT/通訊
• 製造業
• 政府/公共部門
• 車
• 零售與電子商務
• 其他終端用戶產業

第8章：全球基於代理的人工智慧市場：按代理架構分類

• 市場分析、洞察與預測
• 單代理系統
• 多智慧體系統（MAS）

第9章：全球基於代理的人工智慧市場：按應用領域分類

• 市場分析、洞察與預測
• 自主流程自動化
• 預測分析與決策支持
• 智慧虛擬助手
• 與 RPA 整合
• 智慧製造和工業物聯網
• 其他用途

第10章：全球基於代理的人工智慧市場：按地區分類

• 區域分析
• 北美市場分析、洞察與預測
  • 美國
  • 加拿大
  • 墨西哥
• 歐洲市場分析、洞察與預測
  • 英國
  • 法國
  • 德國
  • 義大利
  • 俄羅斯
  • 其他歐洲國家
• 亞太市場分析、洞察與預測
  • 印度
  • 日本
  • 韓國
  • 澳洲
  • 東南亞
  • 其他亞太國家
• 拉丁美洲市場分析、洞察與預測
  • 巴西
  • 阿根廷
  • 秘魯
  • 智利
  • 其他拉丁美洲國家
• 中東和非洲市場分析、洞察與預測
  • 沙烏地阿拉伯
  • UAE
  • 以色列
  • 南非
  • 其他中東和非洲國家

第11章 競爭格局

• 最新趨勢
• 公司分類
• 供應鏈和銷售管道合作夥伴（根據現有資訊）
• 市場佔有率和市場定位分析（基於現有資訊）
• 供應商情況（基於現有資訊）
• 策略規劃

第12章：公司簡介

• 主要公司的市佔率分析
• 公司簡介
  • Microsoft
  • Amazon Web Services
  • Google LLC
  • IBM
  • Oracle
  • Salesforce
  • SAP SE
  • Baidu
  • OpenAI
  • Pegasystems Inc
  • UiPath
  • Coupa Software Inc
  • Epicor Software Corporation
  • Anthropic
  • Zycus Inc

The global agentic AI market report size is expected to reach USD 166.73 Billion in 2034 from USD 6.96 Billion in 2025, growing at a CAGR of 42.32 during 2026-2034.This market is growing at a remarkable pace as businesses embrace autonomous systems capable of reasoning, planning, and executing tasks independently. Unlike traditional AI tools, agentic AI can make decisions, interact with software environments, and continuously improve outcomes. Increasing enterprise automation needs and rapid advancements in generative AI are fueling market demand.

Major growth drivers include productivity enhancement, labor efficiency, and cost optimization. Organizations are deploying AI agents for customer support, workflow automation, coding assistance, and analytics. Cloud computing availability, rising AI investments, and improved model performance are making adoption easier across businesses of all sizes. Strong interest from finance, healthcare, retail, and manufacturing sectors supports expansion.

Future prospects for the market remain exceptionally strong as autonomous digital workers become mainstream. Agentic AI is likely to transform how enterprises operate, reducing repetitive tasks and enabling smarter decisions. As trust, regulation, and interoperability improve, the technology is expected to become a foundational pillar of next-generation digital transformation worldwide.

Our reports are carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

MARKET SEGMENTATION

By Component

• Solution
• Services

By Deployment Mode

• On-Premises
• Cloud
• Hybrid

By Organization Size

• Small and Medium Enterprises (SMEs)
• Large Enterprises

By End-user Industry

• Healthcare
• BFSI
• IT and Telecom
• Manufacturing
• Government and Public Sector
• Automotive
• Retail and E-commerce
• Other End-user Industries

By Agent Architecture

• Single-Agent Systems
• Multi-Agent Systems (MAS)

By Application

• Autonomous Process Automation
• Predictive Analytics and Decision Support
• Intelligent Virtual Assistants
• RPA Integration
• Smart Manufacturing and IIoT
• Other Applications

COMPANIES PROFILED

• Microsoft, Amazon Web Services, Google LLC, IBM, Oracle, Salesforce, SAP SE, Baidu, OpenAI, Pegasystems Inc., UiPath, Coupa Software Inc., Epicor Software Corporation, Anthropic, Zycus Inc.

TABLE OF CONTENTS

Chapter 1. PREFACE

• 1.1. Market Segmentation & Scope
• 1.2. Market Definition
• 1.3. Information Procurement
  • 1.3.1 Information Analysis
  • 1.3.2 Market Formulation & Data Visualization
  • 1.3.3 Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

• 2.1. Market Snapshot
• 2.2. Segmental Outlook
• 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

• 3.1. Market Lineage Outlook
• 3.2. Penetration & Growth Prospect Mapping
• 3.3. Value Chain Analysis
• 3.4. Regulatory Framework
  • 3.4.1 Standards & Compliance
  • 3.4.2 Regulatory Impact Analysis
• 3.5. Market Dynamics
  • 3.5.1 Market Drivers
  • 3.5.2 Market Restraints
  • 3.5.3 Market Opportunities
  • 3.5.4 Market Challenges
• 3.6. Porter's Five Forces Analysis
• 3.7. PESTLE Analysis

Chapter 4. GLOBAL AGENTIC AI MARKET: BY COMPONENT 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Component
• 4.2. Solution Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL AGENTIC AI MARKET: BY DEPLOYMENT MODE 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Deployment Mode
• 5.2. On-Premises Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Cloud Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Hybrid Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL AGENTIC AI MARKET: BY ORGANIZATION SIZE 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Organization Size
• 6.2. Small and Medium Enterprises (SMEs) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. Large Enterprises Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL AGENTIC AI MARKET: BY END-USER INDUSTRY 2022-2034 (USD MN)

• 7.1. Market Analysis, Insights and Forecast End-user Industry
• 7.2. Healthcare Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.3. BFSI Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.4. IT and Telecom Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.5. Manufacturing Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.6. Government and Public Sector Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.7. Automotive Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.8. Retail and E-commerce Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.9. Other End-user Industries Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL AGENTIC AI MARKET: BY AGENT ARCHITECTURE 2022-2034 (USD MN)

• 8.1. Market Analysis, Insights and Forecast Agent Architecture
• 8.2. Single-Agent Systems Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.3. Multi-Agent Systems (MAS) Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 9. GLOBAL AGENTIC AI MARKET: BY APPLICATION 2022-2034 (USD MN)

• 9.1. Market Analysis, Insights and Forecast Application
• 9.2. Autonomous Process Automation Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 9.3. Predictive Analytics and Decision Support Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 9.4. Intelligent Virtual Assistants Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 9.5. RPA Integration Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 9.6. Smart Manufacturing and IIoT Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 9.7. Other Applications Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 10. GLOBAL AGENTIC AI MARKET: BY REGION 2022-2034 (USD MN)

• 10.1. Regional Outlook
• 10.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 10.2.1 By Component
  • 10.2.2 By Deployment Mode
  • 10.2.3 By Organization Size
  • 10.2.4 By End-user Industry
  • 10.2.5 By Agent Architecture
  • 10.2.6 By Application
  • 10.2.7 United States
  • 10.2.8 Canada
  • 10.2.9 Mexico
• 10.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 10.3.1 By Component
  • 10.3.2 By Deployment Mode
  • 10.3.3 By Organization Size
  • 10.3.4 By End-user Industry
  • 10.3.5 By Agent Architecture
  • 10.3.6 By Application
  • 10.3.7 United Kingdom
  • 10.3.8 France
  • 10.3.9 Germany
  • 10.3.10 Italy
  • 10.3.11 Russia
  • 10.3.12 Rest Of Europe
• 10.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 10.4.1 By Component
  • 10.4.2 By Deployment Mode
  • 10.4.3 By Organization Size
  • 10.4.4 By End-user Industry
  • 10.4.5 By Agent Architecture
  • 10.4.6 By Application
  • 10.4.7 India
  • 10.4.8 Japan
  • 10.4.9 South Korea
  • 10.4.10 Australia
  • 10.4.11 South East Asia
  • 10.4.12 Rest Of Asia Pacific
• 10.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 10.5.1 By Component
  • 10.5.2 By Deployment Mode
  • 10.5.3 By Organization Size
  • 10.5.4 By End-user Industry
  • 10.5.5 By Agent Architecture
  • 10.5.6 By Application
  • 10.5.7 Brazil
  • 10.5.8 Argentina
  • 10.5.9 Peru
  • 10.5.10 Chile
  • 10.5.11 Rest of Latin America
• 10.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 10.6.1 By Component
  • 10.6.2 By Deployment Mode
  • 10.6.3 By Organization Size
  • 10.6.4 By End-user Industry
  • 10.6.5 By Agent Architecture
  • 10.6.6 By Application
  • 10.6.7 Saudi Arabia
  • 10.6.8 UAE
  • 10.6.9 Israel
  • 10.6.10 South Africa
  • 10.6.11 Rest of the Middle East And Africa

Chapter 11. COMPETITIVE LANDSCAPE

• 11.1. Recent Developments
• 11.2. Company Categorization
• 11.3. Supply Chain & Channel Partners (based on availability)
• 11.4. Market Share & Positioning Analysis (based on availability)
• 11.5. Vendor Landscape (based on availability)
• 11.6. Strategy Mapping

Chapter 12. COMPANY PROFILES OF GLOBAL AGENTIC AI INDUSTRY

• 12.1. Top Companies Market Share Analysis
• 12.2. Company Profiles
  • 12.2.1 Microsoft
  • 12.2.2 Amazon Web Services
  • 12.2.3 Google LLC
  • 12.2.4 IBM
  • 12.2.5 Oracle
  • 12.2.6 Salesforce
  • 12.2.7 SAP SE
  • 12.2.8 Baidu
  • 12.2.9 OpenAI
  • 12.2.10 Pegasystems Inc
  • 12.2.11 UiPath
  • 12.2.12 Coupa Software Inc
  • 12.2.13 Epicor Software Corporation
  • 12.2.14 Anthropic
  • 12.2.15 Zycus Inc