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

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