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市場調查報告書
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2027694

2026-2034年全球基於代理的AI框架市場規模、佔有率、趨勢和成長分析報告

Global Agentic AI Frameworks Market Size, Share, Trends & Growth Analysis Report 2026-2034

出版日期: | 出版商: Value Market Research | 英文 185 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

全球基於代理的人工智慧框架市場規模預計將從2025年的29.9億美元成長至2034年的547.7億美元,2026年至2034年的複合年成長率(CAGR)將達到38.14%。隨著企業尋求建置、部署和管理自主人工智慧代理的平台,該市場正快速成長。這些框架提供記憶體管理、任務規劃、推理以及與業務系統整合等工具。在對客製化人工智慧助理和企業自動化解決方案日益成長的需求推動下,全球各行各業都在逐步採用此類框架。

這一成長主要得益於生成式人工智慧和大規模語言模型的快速發展。企業正在尋求能夠將語言模型轉化為可靠、自主的系統,從而完成複雜工作流程的結構化框架。開放原始碼生態系統、雲端人工智慧服務和開發團體也在加速創新,並降低新用戶的進入門檻。

隨著企業從人工智慧聊天機器人的實驗階段過渡到部署任務導向的智慧體,未來前景十分光明。基於智慧體的人工智慧框架有望成為數位化工作場所、客戶服務、數據分析和營運管理的核心基礎設施。隨著管治和安全功能的提升,未來十年企業級部署預計將顯著成長。

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:本節對市場進行了清晰的說明,包括關鍵定義、分類以及當前行業格局的概述。

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框架市場:按框架類型分類

  • 市場分析、洞察與預測
  • 開放原始碼框架
  • 專有框架

第5章:全球基於代理的人工智慧框架市場:按部署模式分類

  • 市場分析、洞察與預測
  • 雲端託管
  • 本地部署/邊緣部署

第6章:全球基於代理的人工智慧框架市場:按公司規模分類

  • 市場分析、洞察與預測
  • 大型公司(員工人數1000人或以上)
  • 中小企業(員工人數少於1000人)

第7章 全球基於代理的人工智慧框架市場:按最終用途分類

  • 市場分析、洞察與預測
  • 資訊通訊技術和軟體開發
  • 金融服務
  • 醫療保健和生命科學
  • 製造業和工業
  • 其他(零售、媒體等)

第8章:全球基於代理的人工智慧框架市場: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9章 競爭情勢

  • 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10章:公司簡介

  • 主要公司的市佔率分析
  • 公司簡介
    • Anthropic
    • OpenAI
    • LangChain
    • Hugging Face
    • Vercel
    • Adept AI
    • LlamaIndex
    • CrewAI
    • Taskade
    • MultiOn
    • Dust
    • Fixie
    • Reworkd
    • AutoGPT
    • SuperAGI
簡介目錄
Product Code: VMR112118132

The global agentic AI frameworks market report size is expected to reach USD 54.77 Billion in 2034 from USD 2.99 Billion in 2025, growing at a CAGR of 38.14 during 2026-2034.This market is growing quickly as enterprises seek platforms to build, deploy, and manage autonomous AI agents. These frameworks provide tools for memory management, task planning, reasoning, and integration with business systems. Rising demand for custom AI assistants and enterprise automation solutions is increasing adoption across industries worldwide.

Growth is being driven by the rapid expansion of generative AI and large language models. Businesses want structured frameworks that can transform language models into reliable autonomous systems capable of completing complex workflows. Open-source ecosystems, cloud-based AI services, and developer communities are also accelerating innovation and lowering barriers to entry for new users.

The future outlook is highly optimistic as organizations move from experimenting with AI chatbots to deploying task-oriented agents. Agentic AI frameworks are expected to become core infrastructure for digital workplaces, customer service, analytics, and operations management. As governance and security features improve, enterprise-scale adoption is likely to rise substantially over the coming decade.

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 Framework Type

  • Open-Source Frameworks
  • Proprietary Frameworks

By Deployment Mode

  • Cloud-Hosted
  • On-Premises / Edge

By Organisation Size

  • Large Enterprises (>=1 000 employees)
  • SMEs (<1 000 employees)

By End-use Industry

  • ICT and Software Development
  • Financial Services
  • Healthcare and Life Sciences
  • Manufacturing and Industrial
  • Others (Retail, Media, etc.)

COMPANIES PROFILED

  • Anthropic, OpenAI, LangChain, Hugging Face, Vercel, Adept AI, LlamaIndex, CrewAI, Taskade, MultiOn, Dust, Fixie, Reworkd, AutoGPT, SuperAGI

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 FRAMEWORKS MARKET: BY FRAMEWORK TYPE 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Framework Type
  • 4.2. Open-Source Frameworks Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Proprietary Frameworks Estimates and Forecasts By Regions 2022-2034 (USD MN)

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

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

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

  • 6.1. Market Analysis, Insights and Forecast Organisation Size
  • 6.2. Large Enterprises (>=1 000 employees) Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. SMEs (<1 000 employees) Estimates and Forecasts By Regions 2022-2034 (USD MN)

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

  • 7.1. Market Analysis, Insights and Forecast End-use Industry
  • 7.2. ICT and Software Development Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.3. Financial Services Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.4. Healthcare and Life Sciences Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.5. Manufacturing and Industrial Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.6. Others (Retail, Media, etc.) Estimates and Forecasts By Regions 2022-2034 (USD MN)

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

  • 8.1. Regional Outlook
  • 8.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.2.1 By Framework Type
    • 8.2.2 By Deployment Mode
    • 8.2.3 By Organisation Size
    • 8.2.4 By End-use Industry
    • 8.2.5 United States
    • 8.2.6 Canada
    • 8.2.7 Mexico
  • 8.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.3.1 By Framework Type
    • 8.3.2 By Deployment Mode
    • 8.3.3 By Organisation Size
    • 8.3.4 By End-use Industry
    • 8.3.5 United Kingdom
    • 8.3.6 France
    • 8.3.7 Germany
    • 8.3.8 Italy
    • 8.3.9 Russia
    • 8.3.10 Rest Of Europe
  • 8.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.4.1 By Framework Type
    • 8.4.2 By Deployment Mode
    • 8.4.3 By Organisation Size
    • 8.4.4 By End-use Industry
    • 8.4.5 India
    • 8.4.6 Japan
    • 8.4.7 South Korea
    • 8.4.8 Australia
    • 8.4.9 South East Asia
    • 8.4.10 Rest Of Asia Pacific
  • 8.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.5.1 By Framework Type
    • 8.5.2 By Deployment Mode
    • 8.5.3 By Organisation Size
    • 8.5.4 By End-use Industry
    • 8.5.5 Brazil
    • 8.5.6 Argentina
    • 8.5.7 Peru
    • 8.5.8 Chile
    • 8.5.9 Rest of Latin America
  • 8.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.6.1 By Framework Type
    • 8.6.2 By Deployment Mode
    • 8.6.3 By Organisation Size
    • 8.6.4 By End-use Industry
    • 8.6.5 Saudi Arabia
    • 8.6.6 UAE
    • 8.6.7 Israel
    • 8.6.8 South Africa
    • 8.6.9 Rest of the Middle East And Africa

Chapter 9. COMPETITIVE LANDSCAPE

  • 9.1. Recent Developments
  • 9.2. Company Categorization
  • 9.3. Supply Chain & Channel Partners (based on availability)
  • 9.4. Market Share & Positioning Analysis (based on availability)
  • 9.5. Vendor Landscape (based on availability)
  • 9.6. Strategy Mapping

Chapter 10. COMPANY PROFILES OF GLOBAL AGENTIC AI FRAMEWORKS INDUSTRY

  • 10.1. Top Companies Market Share Analysis
  • 10.2. Company Profiles
    • 10.2.1 Anthropic
    • 10.2.2 OpenAI
    • 10.2.3 LangChain
    • 10.2.4 Hugging Face
    • 10.2.5 Vercel
    • 10.2.6 Adept AI
    • 10.2.7 LlamaIndex
    • 10.2.8 CrewAI
    • 10.2.9 Taskade
    • 10.2.10 MultiOn
    • 10.2.11 Dust
    • 10.2.12 Fixie
    • 10.2.13 Reworkd
    • 10.2.14 AutoGPT
    • 10.2.15 SuperAGI