세계의 자율형 AI 및 자율형 에이전트 시장 : 예측 - 유형별, 컴포넌트별, 전개별, 기술별, 최종 사용자별, 지역별 분석(-2032년)

According to Stratistics MRC, the Global Autonomous AI and Autonomous Agents Market is accounted for $11.93 billion in 2025 and is expected to reach $159.25 billion by 2032 growing at a CAGR of 44.8% during the forecast period. Autonomous AI refers to artificial intelligence systems capable of performing tasks independently, making decisions, and adapting to changing environments without human intervention. These systems leverage machine learning, reasoning, and decision-making algorithms to operate in dynamic settings, optimizing performance and efficiency. Autonomous agents are specific implementations of autonomous AI designed to act on behalf of users or organizations, perceiving their environment, interpreting information, and executing actions to achieve predefined goals. They can range from software bots to robotic systems, continuously learning from interactions and feedback to improve outcomes, reduce errors, and operate reliably in complex, real-world scenarios.

Market Dynamics:

Driver:

Rising adoption in industries

Manufacturing sectors are using autonomous systems to optimize production efficiency and reduce operational costs. In logistics and supply chain, AI agents streamline inventory management and improve delivery accuracy. The healthcare industry leverages autonomous AI for diagnostics, patient monitoring, and personalized treatment plans. Retail and e-commerce platforms adopt AI agents to enhance customer experience and automate support. Overall, cross-industry integration of autonomous technologies fuels demand, innovation, and market expansion.

Restraint:

Regulatory and ethical concerns

Strict government regulations on AI deployment delay product launches and increase compliance costs. Varying policies across countries create market fragmentation and operational challenges for global companies. Ethical concerns, such as privacy violations and biased decision-making, reduce consumer trust and adoption. Liability issues in case of AI errors or accidents raise legal risks for developers and users. Overall, these regulatory and ethical hurdles slow innovation, limit market expansion, and increase operational complexity.

Opportunity:

Integration with IoT and robotics

Connected devices provide actionable insights, allowing autonomous agents to make faster and more accurate decisions. Robotics integration enhances operational efficiency by automating repetitive and complex tasks across industries. Combined IoT-AI systems improve predictive maintenance, reducing downtime and operational costs. This synergy drives adoption in manufacturing, logistics, healthcare, and smart cities. Overall, it accelerates innovation, scalability, and market growth by creating smarter, more adaptive autonomous solutions.

Threat:

Data privacy and security issues

Strict regulations like GDPR and CCPA increase compliance costs for companies deploying these technologies. Fear of data breaches reduces customer trust and slows adoption in sensitive sectors such as healthcare and finance. Cybersecurity vulnerabilities in AI systems raise the risk of malicious attacks and operational failures. Companies may delay innovation due to potential legal liabilities linked to mishandling personal data. Overall, these issues create barriers to market growth by increasing costs, limiting adoption, and slowing technological advancements.

Covid-19 Impact:

The Covid-19 pandemic significantly accelerated the adoption of autonomous AI and autonomous agents as organizations sought to maintain operations amid restrictions and workforce limitations. Demand increased for intelligent automation in healthcare, logistics, and remote operations, highlighting efficiency, safety, and cost-saving benefits. Supply chain disruptions and shifting business priorities prompted investments in autonomous systems capable of decision-making with minimal human intervention. However, delays in technology deployment, reduced budgets, and regulatory challenges temporarily slowed market expansion. Overall, the pandemic underscored the strategic importance of autonomous AI for resilience and operational continuity.

The software segment is expected to be the largest during the forecast period

The software segment is expected to account for the largest market share during the forecast period by enabling advanced algorithms and machine learning models that power autonomous decision-making. It provides the platforms for real-time data processing, improving system accuracy and efficiency. Software solutions facilitate seamless integration with existing IT and operational infrastructures. Continuous updates and AI model improvements enhance adaptability across industries. Overall, software acts as the backbone, accelerating deployment and adoption of autonomous systems globally.

The manufacturing segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the manufacturing segment is predicted to witness the highest growth rate by automating repetitive and complex production tasks, increasing operational efficiency. It enables predictive maintenance, reducing downtime and saving costs. Autonomous agents optimize supply chain management, ensuring timely delivery and resource allocation. AI-powered quality control improves product consistency and reduces errors. Moreover, growing adoption of smart factories and Industry 4.0 initiatives further accelerates market growth.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share fuelled by advanced research, high enterprise AI adoption, and demand for autonomous systems in sectors like defense, healthcare, and transportation. The U.S. and Canada are pioneers in autonomous vehicles, AI-driven analytics, and intelligent automation platforms. Key technologies include AI orchestration, reinforcement learning, and cloud-based autonomous frameworks. Partnerships between tech companies and academic institutions promote innovation. Market growth is supported by favourable regulatory policies, although ethical concerns, system complexity, and cybersecurity risks pose adoption barriers.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR due to strong adoption of AI in manufacturing, logistics, and smart city projects across China, Japan, India, and South Korea. Rising government initiatives for Industry 4.0 and automation, along with investments in AI startups, are driving demand. Emerging trends include autonomous robotics, AI-powered supply chain management, and AI-driven predictive maintenance. Increasing collaborations between technology providers and local enterprises are fostering market growth.

Key players in the market

Some of the key players in Autonomous AI and Autonomous Agents Market include Microsoft, IBM, Amazon, Google, Oracle, SAP, Salesforce, NVIDIA, OpenAI, Anthropic, Meta, ServiceNow, Aisera, Avanade, PwC, UiPath, Automation Anywhere and Mistral AI.

Key Developments:

In July 2025, Amazon introduced Amazon Bedrock AgentCore, a comprehensive suite designed to facilitate the deployment and management of AI agents. This platform provides tools and infrastructure to support the development of autonomous agents capable of executing complex tasks across various domains.

In January 2025, Microsoft and PwC announced a strategic collaboration aimed at transforming industries with AI agents. This partnership focuses on harnessing AI's potential to drive business value, enhance customer engagement, and streamline operations across various sectors.

In May 2024, IBM and Salesforce announced an expanded partnership to provide pre-built AI agents and tools for organizations. This collaboration aims to enable businesses to transform sales and service processes with AI while maintaining control over their IT environments.

Types Covered:

• Autonomous AI
• Autonomous Agents

Components Covered:

• Hardware
• Software
• Services

Deployments Covered:

• Cloud-based
• On-premise

Technologies Covered:

• Machine Learning
• Natural Language Processing (NLP)
• Computer Vision
• Reinforcement Learning
• Robotics Process Automation (RPA)
• Other Technologies

End Users Covered:

• Healthcare
• Automotive
• Retail
• Banking, Financial Services, Insurance
• Manufacturing
• Defense & Security
• Other End Users

Regions Covered:

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • Italy
  • France
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • New Zealand
  • South Korea
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Chile
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Qatar
  • South Africa
  • Rest of Middle East & Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

• 2.1 Abstract
• 2.2 Stake Holders
• 2.3 Research Scope
• 2.4 Research Methodology
  • 2.4.1 Data Mining
  • 2.4.2 Data Analysis
  • 2.4.3 Data Validation
  • 2.4.4 Research Approach
• 2.5 Research Sources
  • 2.5.1 Primary Research Sources
  • 2.5.2 Secondary Research Sources
  • 2.5.3 Assumptions

3 Market Trend Analysis

• 3.1 Introduction
• 3.2 Drivers
• 3.3 Restraints
• 3.4 Opportunities
• 3.5 Threats
• 3.6 Technology Analysis
• 3.7 End User Analysis
• 3.8 Emerging Markets
• 3.9 Impact of Covid-19

4 Porters Five Force Analysis

• 4.1 Bargaining power of suppliers
• 4.2 Bargaining power of buyers
• 4.3 Threat of substitutes
• 4.4 Threat of new entrants
• 4.5 Competitive rivalry

5 Global Autonomous AI and Autonomous Agents Market, By Type

• 5.1 Introduction
• 5.2 Autonomous AI
• 5.3 Autonomous Agents

6 Global Autonomous AI and Autonomous Agents Market, By Component

• 6.1 Introduction
• 6.2 Hardware
  • 6.2.1 Sensors & Actuators
  • 6.2.2 Processors & Chipsets
• 6.3 Software
  • 6.3.1 AI Algorithms & Models
  • 6.3.2 Platforms & Frameworks
• 6.4 Services
  • 6.4.1 Consulting
  • 6.4.2 Integration & Deployment
  • 6.4.3 Maintenance & Support

7 Global Autonomous AI and Autonomous Agents Market, By Deployment

• 7.1 Introduction
• 7.2 Cloud-based
• 7.3 On-premise

8 Global Autonomous AI and Autonomous Agents Market, By Technology

• 8.1 Introduction
• 8.2 Machine Learning
• 8.3 Natural Language Processing (NLP)
• 8.4 Computer Vision
• 8.5 Reinforcement Learning
• 8.6 Robotics Process Automation (RPA)
• 8.7 Other Technologies

9 Global Autonomous AI and Autonomous Agents Market, By End User

• 9.1 Introduction
• 9.2 Healthcare
• 9.3 Automotive
• 9.4 Retail
• 9.5 Banking, Financial Services, Insurance
• 9.6 Manufacturing
• 9.7 Defense & Security
• 9.8 Other End Users

10 Global Autonomous AI and Autonomous Agents Market, By Geography

• 10.1 Introduction
• 10.2 North America
  • 10.2.1 US
  • 10.2.2 Canada
  • 10.2.3 Mexico
• 10.3 Europe
  • 10.3.1 Germany
  • 10.3.2 UK
  • 10.3.3 Italy
  • 10.3.4 France
  • 10.3.5 Spain
  • 10.3.6 Rest of Europe
• 10.4 Asia Pacific
  • 10.4.1 Japan
  • 10.4.2 China
  • 10.4.3 India
  • 10.4.4 Australia
  • 10.4.5 New Zealand
  • 10.4.6 South Korea
  • 10.4.7 Rest of Asia Pacific
• 10.5 South America
  • 10.5.1 Argentina
  • 10.5.2 Brazil
  • 10.5.3 Chile
  • 10.5.4 Rest of South America
• 10.6 Middle East & Africa
  • 10.6.1 Saudi Arabia
  • 10.6.2 UAE
  • 10.6.3 Qatar
  • 10.6.4 South Africa
  • 10.6.5 Rest of Middle East & Africa

11 Key Developments

• 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 11.2 Acquisitions & Mergers
• 11.3 New Product Launch
• 11.4 Expansions
• 11.5 Other Key Strategies

12 Company Profiling

• 12.1 Microsoft
• 12.2 IBM
• 12.3 Amazon
• 12.4 Google
• 12.5 Oracle
• 12.6 SAP
• 12.7 Salesforce
• 12.8 NVIDIA
• 12.9 OpenAI
• 12.10 Anthropic
• 12.11 Meta
• 12.12 ServiceNow
• 12.13 Aisera
• 12.14 Avanade
• 12.15 PwC
• 12.16 UiPath
• 12.17 Automation Anywhere
• 12.18 Mistral AI