에이전틱 AI 시장 - 규모, 점유율, 성장 및 산업 분석 : 유형별, 용도별, 지역별 인사이트 및 예측(2026-2034년)

Growth Factors of Agentic AI Market

The global Agentic AI market was valued at USD 7.29 billion in 2025 and is projected to grow from USD 9.14 billion in 2026 to USD 139.19 billion by 2034, exhibiting an impressive CAGR of 40.50% during the forecast period. North America dominated the market in 2025, accounting for 33.60% of the global share.

Agentic AI represents a new generation of intelligent systems capable of autonomous decision-making and adaptive execution across complex digital ecosystems. These AI agents operate across hybrid cloud, multi-cloud, and edge environments, enabling enterprises to automate knowledge work, optimize workflows, and enhance real-time decision-making. Growing enterprise data complexity and demand for contextual intelligence are accelerating market expansion.

Leading players such as Microsoft, IBM Corporation, NVIDIA Corporation, and Anthropic are shaping the competitive landscape through advanced AI research, scalable cloud infrastructure, and enterprise-grade agentic platforms.

Impact of AI on Market Growth

AI capabilities are central to the growth of the Agentic AI market. These systems enhance threat detection, automate security responses, and enable real-time operational decisions in distributed IT environments.

For example, in February 2025, OpenText launched an AI-powered threat detection and response platform on Microsoft Azure, integrating with Microsoft Defender and Security Copilot. Such developments demonstrate how AI-driven agentic systems are strengthening cybersecurity frameworks while maintaining compatibility with existing infrastructures.

As enterprises adopt Zero Trust security models and cloud-native environments, the need for adaptive and autonomous AI systems continues to rise, further fueling market demand.

Market Dynamics

Market Trends

Industry-Specific Agentic AI Solutions

A key trend is the development of customized agentic AI solutions tailored to specific industries such as healthcare, finance, manufacturing, and life sciences. These solutions address regulatory compliance, data privacy, and operational complexities unique to each sector.

In September 2025, Causaly launched an agentic AI platform for life sciences R&D, designed to automate biomedical research workflows and accelerate drug discovery. Such specialized deployments are enhancing efficiency and domain-specific decision-making.

Market Drivers

Rising Demand for Intelligent Automation

Organizations are increasingly adopting agentic AI to automate multi-step, decision-intensive processes. Studies indicate that nearly 80% of businesses are expected to adopt intelligent automation by 2025. Autonomous AI agents reduce manual workloads, improve operational accuracy, and accelerate response times, driving enterprise productivity.

Market Restraints

Regulatory Uncertainty

Despite rapid adoption, regulatory uncertainty remains a challenge. Evolving AI governance frameworks across regions create compliance complexities, particularly in highly regulated industries such as finance and healthcare. Unclear liability standards and data protection requirements may delay large-scale deployments.

Market Opportunities

Low-Code and Customization Platforms

The rise of low-code and no-code agentic AI platforms presents significant opportunities. These tools allow enterprises to design and deploy AI agents without deep technical expertise.

In July 2025, Fractal launched Cogentiq, a low-code agentic AI platform enabling intelligent decision-making with unified data integration and built-in security features. Such platforms are expanding AI accessibility across organizations.

Segmentation Analysis

By Technology

Machine Learning led the market in 2026, accounting for 34.19% of the total share, due to its capability to process large datasets and continuously improve predictions. Deep learning is projected to grow at the highest CAGR, driven by its strength in handling unstructured data and powering generative AI systems.

By Component

The solutions segment dominated in 2025 and is expected to hold 64.06% share in 2026, as ready-to-deploy AI solutions provide faster implementation and scalability. The services segment is projected to grow at a CAGR of 46.30% during the forecast period.

By System

Single-agent systems led the market in 2025 and are expected to account for 58.12% share in 2026, owing to simpler deployment and lower complexity. Multi-agent systems are anticipated to grow at 46.30% CAGR, supported by advanced coordination capabilities.

By Application

Customer service and virtual assistants held the largest share in 2024 and are expected to account for 32.2% in 2025, driven by demand for automated, personalized support. Healthcare is projected to grow at a CAGR of 48.40%, fueled by AI-driven diagnostics and research automation.

By End-Use

Enterprises dominated the market and are expected to hold 45.7% share in 2025, supported by digital transformation initiatives. Industrial applications are projected to grow at 46.2% CAGR during the forecast period.

Regional Outlook

North America

North America led the market with USD 2.45 billion in 2025, increasing to USD 2.98 billion in 2026. The U.S. alone is estimated to reach USD 2.33 billion in 2026, driven by strong AI infrastructure and major technology providers.

Europe

Europe is projected to reach USD 2.31 billion in 2025 and grow at a CAGR of 42.5%. The U.K., Germany, and France are expected to reach USD 0.66 billion, USD 0.51 billion, and USD 0.42 billion respectively in 2026.

Asia Pacific

Asia Pacific is valued at USD 1.86 billion in 2025, supported by national AI strategies in China and India, which are projected to reach USD 0.66 billion and USD 0.59 billion respectively.

Latin America & Middle East & Africa

Latin America is forecast to reach USD 0.20 billion in 2025, while GCC countries in the Middle East & Africa are estimated at USD 0.18 billion, supported by smart city and digital transformation initiatives.

Competitive Landscape

The market is highly competitive, led by Microsoft, IBM Corporation, NVIDIA Corporation, Anthropic, Google LLC, SAP SE, UiPath, Oracle Corporation, and others. These companies leverage strong R&D investments, cloud ecosystems, and AI innovation to deliver scalable and secure agentic AI solutions.

Conclusion

The global Agentic AI market, valued at USD 7.29 billion in 2025, is poised for exponential growth, reaching USD 139.19 billion by 2034 at a CAGR of 40.50%. Growth is driven by rising enterprise automation, industry-specific AI solutions, low-code deployment models, and expanding cloud infrastructure. Although regulatory uncertainty remains a challenge, increasing demand for autonomous, context-aware AI systems will continue to accelerate adoption across industries worldwide.

Segmentation By Component

• Solutions
• Services

By System

• Single Agentic AI
• Multi Agentic AI

By Technology

• Machine Learning
• Natural Language Processing (NLP)
• Deep Learning
• Computer Vision
• Others (Robotic Process Automation, etc.)

By Application

• Customer Service and Virtual Assistants
• Robotics and Automation
• Healthcare
• Financial Services
• Security and Surveillance
• Gaming and Entertainment
• Marketing and Sales
• Others (Human Resources, Legal and Compliance, etc.)

By End-use

• Consumer
• Enterprise
• Industrial

By Region

• North America (By Component, By System, By Technology, By Application, By End-use, and By Country)
  • U.S. (By End-use)
  • Canada (By End-use)
  • Mexico (By End-use)
• Europe (By Component, By System, By Technology, By Application, By End-use, and By Country)
  • U.K. (By End-use)
  • Germany (By End-use)
  • France (By End-use)
  • Italy (By End-use)
  • Spain (By End-use)
  • Russia (By End-use)
  • Benelux (By End-use)
  • Nordics (By End-use)
  • Rest of Europe
• Asia Pacific (By Component, By System, By Technology, By Application, By End-use, and By Country)
  • China (By End-use)
  • India (By End-use)
  • Japan (By End-use)
  • South Korea (By End-use)
  • ASEAN (By End-use)
  • Oceania (By End-use)
  • Rest of Asia Pacific
• Middle East and Africa (By Component, By System, By Technology, By Application, By End-use, and By Country)
  • Turkey (By End-use)
  • Israel (By End-use)
  • GCC (By End-use)
  • North Africa (By End-use)
  • South Africa (By End-use)
  • Rest of MEA
• South America (By Component, By System, By Technology, By Application, By End-use, and By Country)
  • Brazil (By End-use)
  • Argentina (By End-use)
• Rest of South America

Table of Content

1. Introduction

• 1.1. Definition, By Segment
• 1.2. Research Methodology/Approach
• 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

• 3.1. Macro and Micro Economic Indicators
• 3.2. Drivers, Restraints, Opportunities and Trends
• 3.3. Impact of Generative AI

4. Competition Landscape

• 4.1. Business Strategies Adopted by Key Players
• 4.2. Consolidated SWOT Analysis of Key Players
• 4.3. Global Agentic AI Key Players (Top 3 - 5) Market Share/Ranking, 2025

5. Global Agentic AI Market Size Estimates and Forecasts, By Segments, 2021-2034

• 5.1. Key Findings
• 5.2. By Component (USD)
  • 5.2.1. Solutions
  • 5.2.2. Services
• 5.3. By System (USD)
  • 5.3.1. Single Agentic AI
  • 5.3.2. Multi Agentic AI
• 5.4. By Technology (USD)
  • 5.4.1. Machine Learning
  • 5.4.2. Natural Language Processing (NLP)
  • 5.4.3. Deep Learning
  • 5.4.4. Computer Vision
  • 5.4.5. Others (Robotic Process Automation, etc.)
• 5.5. By Application (USD)
  • 5.5.1. Customer Service and Virtual Assistants
  • 5.5.2. Robotics and Automation
  • 5.5.3. Healthcare
  • 5.5.4. Financial Services
  • 5.5.5. Security and Surveillance
  • 5.5.6. Gaming and Entertainment
  • 5.5.7. Marketing and Sales
  • 5.5.8. Others (Human Resources, Legal and Compliance, etc.)
• 5.6. By End-use (USD)
  • 5.6.1. Consumer
  • 5.6.2. Enterprise
  • 5.6.3. Industrial
• 5.7. By Region (USD)
  • 5.7.1. North America
  • 5.7.2. Europe
  • 5.7.3. Asia Pacific
  • 5.7.4. Middle East & Africa
  • 5.7.5. South America

6. North America Agentic AI Market Size Estimates and Forecasts, By Segments, 2021-2034

• 6.1. Key Findings
• 6.2. By Component (USD)
  • 6.2.1. Solutions
  • 6.2.2. Services
• 6.3. By System (USD)
  • 6.3.1. Single Agentic AI
  • 6.3.2. Multi Agentic AI
• 6.4. By Technology (USD)
  • 6.4.1. Machine Learning
  • 6.4.2. Natural Language Processing (NLP)
  • 6.4.3. Deep Learning
  • 6.4.4. Computer Vision
  • 6.4.5. Others (Robotic Process Automation, etc.)
• 6.5. By Application (USD)
  • 6.5.1. Customer Service and Virtual Assistants
  • 6.5.2. Robotics and Automation
  • 6.5.3. Healthcare
  • 6.5.4. Financial Services
  • 6.5.5. Security and Surveillance
  • 6.5.6. Gaming and Entertainment
  • 6.5.7. Marketing and Sales
  • 6.5.8. Others (Human Resources, Legal and Compliance, etc.)
• 6.6. By End-use (USD)
  • 6.6.1. Consumer
  • 6.6.2. Enterprise
  • 6.6.3. Industrial
• 6.7. By Country (USD)
  • 6.7.1. U.S.
    • 6.7.1.1. By End-use
  • 6.7.2. Canada
    • 6.7.2.1. By End-use
  • 6.7.3. Mexico
    • 6.7.3.1. By End-use

7. Europe Agentic AI Market Size Estimates and Forecasts, By Segments, 2021-2034

• 7.1. Key Findings
• 7.2. By Component (USD)
  • 7.2.1. Solutions
  • 7.2.2. Services
• 7.3. By System (USD)
  • 7.3.1. Single Agentic AI
  • 7.3.2. Multi Agentic AI
• 7.4. By Technology (USD)
  • 7.4.1. Machine Learning
  • 7.4.2. Natural Language Processing (NLP)
  • 7.4.3. Deep Learning
  • 7.4.4. Computer Vision
  • 7.4.5. Others (Robotic Process Automation, etc.)
• 7.5. By Application (USD)
  • 7.5.1. Customer Service and Virtual Assistants
  • 7.5.2. Robotics and Automation
  • 7.5.3. Healthcare
  • 7.5.4. Financial Services
  • 7.5.5. Security and Surveillance
  • 7.5.6. Gaming and Entertainment
  • 7.5.7. Marketing and Sales
  • 7.5.8. Others (Human Resources, Legal and Compliance, etc.)
• 7.6. By End-use (USD)
  • 7.6.1. Consumer
  • 7.6.2. Enterprise
  • 7.6.3. Industrial
• 7.7. By Country (USD)
  • 7.7.1. U.K.
    • 7.7.1.1. By End-use
  • 7.7.2. Germany
    • 7.7.2.1. By End-use
  • 7.7.3. France
    • 7.7.3.1. By End-use
  • 7.7.4. Italy
    • 7.7.4.1. By End-use
  • 7.7.5. Spain
    • 7.7.5.1. By End-use
  • 7.7.6. Russia
    • 7.7.6.1. By End-use
  • 7.7.7. Benelux
    • 7.7.7.1. By End-use
  • 7.7.8. Nordics
    • 7.7.8.1. By End-use
  • 7.7.9. Rest of Europe

8. Asia Pacific Agentic AI Market Size Estimates and Forecasts, By Segments, 2021-2034

• 8.1. Key Findings
• 8.2. By Component (USD)
  • 8.2.1. Solutions
  • 8.2.2. Services
• 8.3. By System (USD)
  • 8.3.1. Single Agentic AI
  • 8.3.2. Multi Agentic AI
• 8.4. By Technology (USD)
  • 8.4.1. Machine Learning
  • 8.4.2. Natural Language Processing (NLP)
  • 8.4.3. Deep Learning
  • 8.4.4. Computer Vision
  • 8.4.5. Others (Robotic Process Automation, etc.)
• 8.5. By Application (USD)
  • 8.5.1. Customer Service and Virtual Assistants
  • 8.5.2. Robotics and Automation
  • 8.5.3. Healthcare
  • 8.5.4. Financial Services
  • 8.5.5. Security and Surveillance
  • 8.5.6. Gaming and Entertainment
  • 8.5.7. Marketing and Sales
  • 8.5.8. Others (Human Resources, Legal and Compliance, etc.)
• 8.6. By End-use (USD)
  • 8.6.1. Consumer
  • 8.6.2. Enterprise
  • 8.6.3. Industrial
• 8.7. By Country (USD)
  • 8.7.1. China
    • 8.7.1.1. By End-use
  • 8.7.2. India
    • 8.7.2.1. By End-use
  • 8.7.3. Japan
    • 8.7.3.1. By End-use
  • 8.7.4. South Korea
    • 8.7.4.1. By End-use
  • 8.7.5. ASEAN
    • 8.7.5.1. By End-use
  • 8.7.6. Oceania
    • 8.7.6.1. By End-use
  • 8.7.7. Rest of Asia Pacific

9. Middle East & Africa Agentic AI Market Size Estimates and Forecasts, By Segments, 2021-2034

• 9.1. Key Findings
• 9.2. By Component (USD)
  • 9.2.1. Solutions
  • 9.2.2. Services
• 9.3. By System (USD)
  • 9.3.1. Single Agentic AI
  • 9.3.2. Multi Agentic AI
• 9.4. By Technology (USD)
  • 9.4.1. Machine Learning
  • 9.4.2. Natural Language Processing (NLP)
  • 9.4.3. Deep Learning
  • 9.4.4. Computer Vision
  • 9.4.5. Others (Robotic Process Automation, etc.)
• 9.5. By Application (USD)
  • 9.5.1. Customer Service and Virtual Assistants
  • 9.5.2. Robotics and Automation
  • 9.5.3. Healthcare
  • 9.5.4. Financial Services
  • 9.5.5. Security and Surveillance
  • 9.5.6. Gaming and Entertainment
  • 9.5.7. Marketing and Sales
  • 9.5.8. Others (Human Resources, Legal and Compliance, etc.)
• 9.6. By End-use (USD)
  • 9.6.1. Consumer
  • 9.6.2. Enterprise
  • 9.6.3. Industrial
• 9.7. By Country (USD)
  • 9.7.1. Turkey
    • 9.7.1.1. By End-use
  • 9.7.2. Israel
    • 9.7.2.1. By End-use
  • 9.7.3. GCC
    • 9.7.3.1. By End-use
  • 9.7.4. North Africa
    • 9.7.4.1. By End-use
  • 9.7.5. South Africa
    • 9.7.5.1. By End-use
  • 9.7.6. Rest of MEA

10. South America Agentic AI Market Size Estimates and Forecasts, By Segments, 2021-2034

• 10.1. Key Findings
• 10.2. By Component (USD)
  • 10.2.1. Solutions
  • 10.2.2. Services
• 10.3. By System (USD)
  • 10.3.1. Single Agentic AI
  • 10.3.2. Multi Agentic AI
• 10.4. By Technology (USD)
  • 10.4.1. Machine Learning
  • 10.4.2. Natural Language Processing (NLP)
  • 10.4.3. Deep Learning
  • 10.4.4. Computer Vision
  • 10.4.5. Others (Robotic Process Automation, etc.)
• 10.5. By Application (USD)
  • 10.5.1. Customer Service and Virtual Assistants
  • 10.5.2. Robotics and Automation
  • 10.5.3. Healthcare
  • 10.5.4. Financial Services
  • 10.5.5. Security and Surveillance
  • 10.5.6. Gaming and Entertainment
  • 10.5.7. Marketing and Sales
  • 10.5.8. Others (Human Resources, Legal and Compliance, etc.)
• 10.6. By End-use (USD)
  • 10.6.1. Consumer
  • 10.6.2. Enterprise
  • 10.6.3. Industrial
• 10.7. By Country (USD)
  • 10.7.1. Brazil
    • 10.7.1.1. By End-use
  • 10.7.2. Argentina
    • 10.7.2.1. By End-use
  • 10.7.3. Rest of South America

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

• 11.1. Microsoft
  • 11.1.1. Overview
    • 11.1.1.1. Key Management
    • 11.1.1.2. Headquarters
    • 11.1.1.3. Offerings/Business Segments
  • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.1.2.1. Employee Size
    • 11.1.2.2. Past and Current Revenue
    • 11.1.2.3. Geographical Share
    • 11.1.2.4. Business Segment Share
    • 11.1.2.5. Recent Developments
• 11.2. OpenAI Corporation
  • 11.2.1. Overview
    • 11.2.1.1. Key Management
    • 11.2.1.2. Headquarters
    • 11.2.1.3. Offerings/Business Segments
  • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.2.2.1. Employee Size
    • 11.2.2.2. Past and Current Revenue
    • 11.2.2.3. Geographical Share
    • 11.2.2.4. Business Segment Share
    • 11.2.2.5. Recent Developments
• 11.3. IBM Corporation
  • 11.3.1. Overview
    • 11.3.1.1. Key Management
    • 11.3.1.2. Headquarters
    • 11.3.1.3. Offerings/Business Segments
  • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.3.2.1. Employee Size
    • 11.3.2.2. Past and Current Revenue
    • 11.3.2.3. Geographical Share
    • 11.3.2.4. Business Segment Share
    • 11.3.2.5. Recent Developments
• 11.4. Nvidia Corporation
  • 11.4.1. Overview
    • 11.4.1.1. Key Management
    • 11.4.1.2. Headquarters
    • 11.4.1.3. Offerings/Business Segments
  • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.4.2.1. Employee Size
    • 11.4.2.2. Past and Current Revenue
    • 11.4.2.3. Geographical Share
    • 11.4.2.4. Business Segment Share
    • 11.4.2.5. Recent Developments
• 11.5. Google LLC
  • 11.5.1. Overview
    • 11.5.1.1. Key Management
    • 11.5.1.2. Headquarters
    • 11.5.1.3. Offerings/Business Segments
  • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.5.2.1. Employee Size
    • 11.5.2.2. Past and Current Revenue
    • 11.5.2.3. Geographical Share
    • 11.5.2.4. Business Segment Share
    • 11.5.2.5. Recent Developments
• 11.6. Anthropic PBC
  • 11.6.1. Overview
    • 11.6.1.1. Key Management
    • 11.6.1.2. Headquarters
    • 11.6.1.3. Offerings/Business Segments
  • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.6.2.1. Employee Size
    • 11.6.2.2. Past and Current Revenue
    • 11.6.2.3. Geographical Share
    • 11.6.2.4. Business Segment Share
    • 11.6.2.5. Recent Developments
• 11.7. SAP SE
  • 11.7.1. Overview
    • 11.7.1.1. Key Management
    • 11.7.1.2. Headquarters
    • 11.7.1.3. Offerings/Business Segments
  • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.7.2.1. Employee Size
    • 11.7.2.2. Past and Current Revenue
    • 11.7.2.3. Geographical Share
    • 11.7.2.4. Business Segment Share
    • 11.7.2.5. Recent Developments
• 11.8. UiPath
  • 11.8.1. Overview
    • 11.8.1.1. Key Management
    • 11.8.1.2. Headquarters
    • 11.8.1.3. Offerings/Business Segments
  • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.8.2.1. Employee Size
    • 11.8.2.2. Past and Current Revenue
    • 11.8.2.3. Geographical Share
    • 11.8.2.4. Business Segment Share
    • 11.8.2.5. Recent Developments
• 11.9. Oracle Corporation
  • 11.9.1. Overview
    • 11.9.1.1. Key Management
    • 11.9.1.2. Headquarters
    • 11.9.1.3. Offerings/Business Segments
  • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.9.2.1. Employee Size
    • 11.9.2.2. Past and Current Revenue
    • 11.9.2.3. Geographical Share
    • 11.9.2.4. Business Segment Share
    • 11.9.2.5. Recent Developments
• 11.10. Zycus Inc.
  • 11.10.1. Overview
    • 11.10.1.1. Key Management
    • 11.10.1.2. Headquarters
    • 11.10.1.3. Offerings/Business Segments
  • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.10.2.1. Employee Size
    • 11.10.2.2. Past and Current Revenue
    • 11.10.2.3. Geographical Share
    • 11.10.2.4. Business Segment Share
    • 11.10.2.5. Recent Developments

12. Key Takeaways