에이전트형 AI 프레임워크 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

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