인공지능 로봇 시장 규모, 점유율, 성장 및 세계 산업 분석 : 유형별, 용도별, 지역별 인사이트와 예측(2024-2032년)

Growth Factors of artificial intelligence robots Market

The global artificial intelligence robots market is undergoing rapid expansion as industries accelerate automation and integrate intelligent systems into operations. In 2024, the market reached USD 5.23 billion, supported by rising demand for autonomous machines across manufacturing, logistics, healthcare, and service industries. The market is projected to grow to USD 6.19 billion in 2025, driven by advancements in machine learning, computer vision, and natural language processing. By 2032, the AI robots market is expected to reach USD 32.26 billion, growing at a strong CAGR of 26.60% during the forecast period. In 2024, North America held 37.09% of the global market, reflecting its leadership in automation, AI research, and robotics commercialization.

AI robots combine sensors, actuators, software algorithms, and intelligent computing platforms to make autonomous decisions and perform tasks with minimal human intervention. They have evolved from traditional industrial robots into sophisticated service systems capable of real-time perception, adaptive learning, and human-robot collaboration. Key players-including SoftBank Group Corp, NVIDIA, Microsoft, Alphabet, ABB, Fanuc, and Boston Dynamics-continue to push innovation in cloud robotics, AI computing, and collaborative systems.

Market Dynamics

Market Drivers - Rising Demand for Automation

Industries across manufacturing, automotive, logistics, and retail increasingly depend on AI robots to address labor shortages, enhance productivity, and streamline complex workflows. As global labor markets face rising costs and aging populations, businesses seek automation solutions that improve precision and speed. AI robots perform repetitive, hazardous, and high-volume tasks, enabling human workers to focus on strategic functions. The pandemic further accelerated automation adoption, reinforcing the role of AI robots in maintaining operational continuity during disruptions.

Market Restraints - High Costs and Integration Complexity

Despite strong growth potential, the market faces adoption challenges due to high deployment costs and the complexity of integrating robotics into legacy systems. Advanced sensors, processors, and AI algorithms significantly increase upfront expenses. Smaller companies often delay adoption due to budget constraints. Additionally, integrating AI robots into existing workflows requires workforce training, IT upgrades, and cybersecurity frameworks. Regulatory concerns-especially around safety compliance and data privacy-also limit rapid deployment, particularly in developing markets.

Market Opportunities - IoT Integration and Smart Environments

The convergence of AI, IoT, 5G, and cloud computing creates new opportunities for intelligent robots capable of real-time decision-making. In smart factories, AI robots communicate with machines, collect sensor data, predict failures, and optimize production cycles. Expanding smart city projects worldwide opens opportunities in surveillance, sanitation, logistics, and public services-areas where AI-enabled robots offer enhanced efficiency. With rising investments in digital infrastructure, the integration of IoT-based robotics is expected to be a major growth catalyst through 2032.

Market Trends

Collaborative Robots and AI Innovations Transform the Industry

Collaborative robots (cobots) are gaining widespread adoption as they safely work alongside humans without traditional isolation barriers. Their flexibility and small footprint make them suitable for SMEs and dynamic production environments. Meanwhile, advancements in machine learning, computer vision, NLP, and 5G enable AI robots to perform complex, adaptive tasks. These technologies expand robotic capabilities into retail, hospitality, healthcare, and logistics, making AI robots essential for next-generation automation ecosystems.

Segmentation Overview

By Component

The hardware segment dominates the market and is projected to hold 66% share in 2025, driven by demand for sensors, processors, and actuators.

The software segment is the fastest-growing, expected to record a CAGR of 28.99% (2025-2032) as businesses adopt AI algorithms, robotic operating systems, and cloud-based orchestration tools.

By Technology

Machine learning leads the market with 47% share in 2024, enabling predictive analytics, adaptive learning, and real-time decision-making. NLP, computer vision, and context awareness also play vital roles in enhancing robotic intelligence and enabling smooth human-robot interactions.

By Application

Industrial robots dominate with 59% expected market share in 2025, driven by automation across manufacturing, automotive, and electronics.

Service robots are the fastest-growing segment with a 28.02% CAGR (2025-2032), supported by adoption in healthcare, hospitality, logistics, and retail environments.

By End User

Manufacturing leads the market with a projected 39% share in 2025, followed by transportation & logistics, which is expected to grow at 29.19% CAGR through 2032.

Regional Outlook

North America

North America reached USD 1.94 billion in 2024, led by the U.S.'s strong robotics ecosystem and Industry 4.0 investments. The U.S. market is projected to reach USD 1.73 billion in 2025, supported by cloud robotics adoption and major AI companies.

Asia Pacific

Asia Pacific will be valued at USD 2.10 billion in 2025 and is expected to grow at the highest CAGR of 29.50%. China, Japan, and India are accelerating automation to enhance productivity across manufacturing and healthcare.

Europe

Europe is projected to reach USD 1.36 billion in 2025, driven by stringent quality standards and advanced industrial automation. Germany (USD 0.51B in 2025) and France (USD 0.18B in 2025) lead adoption across smart factories.

Middle East & Africa

MEA is expected to reach USD 0.27 billion in 2025, supported by smart city investments and diversification beyond oil.

Conclusion

With the market rising from USD 5.23 billion in 2024 to USD 32.26 billion by 2032, artificial intelligence robots represent one of the fastest-growing segments of the global automation ecosystem. Advancements in AI technologies, IoT integration, and collaborative robotics will continue shaping the future of intelligent automation worldwide.

Segmentation By Component

• Hardware
• Software

By Technology

• Machine Learning
• Natural Language Processing
• Computer Vision
• Context Awareness

By Application

• Industrial Robots
• Service Robots

By End User

• Manufacturing
• Transportation & Logistics
• Healthcare
• Retail & E-commerce
• Military & Defense
• Automotive
• Others

By Region

• North America (By Component, By Technology, By Application, By End User, By Country)
  • U.S. (By End User)
  • Canada (By End User)
  • Mexico (By End User)
• Europe (By Component, By Technology, By Application, By End User, By Country)
  • Germany (By End User)
  • U.K. (By End User)
  • France (By End User)
  • Italy (By End User)
  • Rest of Europe
• Asia Pacific (By Component, By Technology, By Application, By End User, By Country)
  • China (By End User)
  • Japan (By End User)
  • South Korea (By End User)
  • India (By End User)
  • Rest of Asia Pacific
• South America (By Component, By Technology, By Application, By End User, By Country)
  • Brazil (By End User)
  • Argentina (By End User)
  • Rest of South America
• Middle East & Africa (By Component, By Technology, By Application, By End User, By Country)
  • GCC (By End User)
  • South Africa (By End User)
  • Rest of the Middle East & Africa

Key Market Players Profiled in the Report NVIDIA Corporation (U.S.), ABB (Switzerland), Alphabet Inc. (U.S.), Boston Dynamics (U.S.), Brain Corporation (U.S.), Fanuc (Japan), Figure AI (U.S.), Hanson Robotics (China), SoftBank Group Corp (Japan), and UBTech Robotics (China).

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

4. Competition Landscape

• 4.1. Business Strategies Adopted by Key Players
• 4.2. Consolidated SWOT Analysis of Key Players
• 4.3. Global Artificial Intelligence Robots Key Players (Top 3-5) Market Share/Ranking, 2024

5. Global Artificial Intelligence Robots Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2019-2032

• 5.1. Key Findings
• 5.2. By Component (USD)
  • 5.2.1. Hardware
  • 5.2.2. Software
• 5.3. By Technology (USD)
  • 5.3.1. Machine Learning
  • 5.3.2. Natural Language Processing
  • 5.3.3. Computer Vision
  • 5.3.4. Context Awareness
• 5.4. By Application (USD)
  • 5.4.1. Industrial Robots
  • 5.4.2. Service Robots
• 5.5. By End User (USD)
  • 5.5.1. Manufacturing
  • 5.5.2. Transportation & Logistics
  • 5.5.3. Healthcare
  • 5.5.4. Retail & E-commerce
  • 5.5.5. Military & Defense
  • 5.5.6. Automotive
  • 5.5.7. Others
• 5.6. By Region (USD)
  • 5.6.1. North America
  • 5.6.2. Europe
  • 5.6.3. Asia Pacific
  • 5.6.4. South America
  • 5.6.5. Middle East & Africa

6. North America Artificial Intelligence Robots Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2019-2032

• 6.1. Key Findings
• 6.2. By Component (USD)
  • 6.2.1. Hardware
  • 6.2.2. Software
• 6.3. By Technology (USD)
  • 6.3.1. Machine Learning
  • 6.3.2. Natural Language Processing
  • 6.3.3. Computer Vision
  • 6.3.4. Context Awareness
• 6.4. By Application (USD)
  • 6.4.1. Industrial Robots
  • 6.4.2. Service Robots
• 6.5. By End User (USD)
  • 6.5.1. Manufacturing
  • 6.5.2. Transportation & Logistics
  • 6.5.3. Healthcare
  • 6.5.4. Retail & E-commerce
  • 6.5.5. Military & Defense
  • 6.5.6. Automotive
  • 6.5.7. Others
• 6.6. By Country (USD)
  • 6.6.1. U.S.
    • 6.6.1.1. By End User (USD)
  • 6.6.2. Canada
    • 6.6.2.1. By End User (USD)
  • 6.6.3. Mexico
    • 6.6.3.1. By End User (USD)

7. Europe Artificial Intelligence Robots Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2019-2032

• 7.1. Key Findings
• 7.2. By Component (USD)
  • 7.2.1. Hardware
  • 7.2.2. Software
• 7.3. By Technology (USD)
  • 7.3.1. Machine Learning
  • 7.3.2. Natural Language Processing
  • 7.3.3. Computer Vision
  • 7.3.4. Context Awareness
• 7.4. By Application (USD)
  • 7.4.1. Industrial Robots
  • 7.4.2. Service Robots
• 7.5. By End User (USD)
  • 7.5.1. Manufacturing
  • 7.5.2. Transportation & Logistics
  • 7.5.3. Healthcare
  • 7.5.4. Retail & E-commerce
  • 7.5.5. Military & Defense
  • 7.5.6. Automotive
  • 7.5.7. Others
• 7.6. By Country (USD)
  • 7.6.1. U.K.
    • 7.6.1.1. By End User (USD)
  • 7.6.2. Germany
    • 7.6.2.1. By End User (USD)
  • 7.6.3. France
    • 7.6.3.1. By End User (USD)
  • 7.6.4. Italy
    • 7.6.4.1. By End User (USD)
  • 7.6.5. Rest of Europe

8. Asia Pacific Artificial Intelligence Robots Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2019-2032

• 8.1. Key Findings
• 8.2. By Component (USD)
  • 8.2.1. Hardware
  • 8.2.2. Software
• 8.3. By Technology (USD)
  • 8.3.1. Machine Learning
  • 8.3.2. Natural Language Processing
  • 8.3.3. Computer Vision
  • 8.3.4. Context Awareness
• 8.4. By Application (USD)
  • 8.4.1. Industrial Robots
  • 8.4.2. Service Robots
• 8.5. By End User (USD)
  • 8.5.1. Manufacturing
  • 8.5.2. Transportation & Logistics
  • 8.5.3. Healthcare
  • 8.5.4. Retail & E-commerce
  • 8.5.5. Military & Defense
  • 8.5.6. Automotive
  • 8.5.7. Others
• 8.6. By Country (USD)
  • 8.6.1. China
    • 8.6.1.1. By End User (USD)
  • 8.6.2. Japan
    • 8.6.2.1. By End User (USD)
  • 8.6.3. India
    • 8.6.3.1. By End User (USD)
  • 8.6.4. South Korea
    • 8.6.4.1. By End User (USD)
  • 8.6.5. Rest of Asia Pacific

9. South America Artificial Intelligence Robots Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2019-2032

• 9.1. Key Findings
• 9.2. By Component (USD)
  • 9.2.1. Hardware
  • 9.2.2. Software
• 9.3. By Technology (USD)
  • 9.3.1. Machine Learning
  • 9.3.2. Natural Language Processing
  • 9.3.3. Computer Vision
  • 9.3.4. Context Awareness
• 9.4. By Application (USD)
  • 9.4.1. Industrial Robots
  • 9.4.2. Service Robots
• 9.5. By End User (USD)
  • 9.5.1. Manufacturing
  • 9.5.2. Transportation & Logistics
  • 9.5.3. Healthcare
  • 9.5.4. Retail & E-commerce
  • 9.5.5. Military & Defense
  • 9.5.6. Automotive
  • 9.5.7. Others
• 9.6. By Country (USD)
  • 9.6.1. Brazil
    • 9.6.1.1. By End User (USD)
  • 9.6.2. Argentina
    • 9.6.2.1. By End User (USD)
  • 9.6.3. Rest of South America

10. Middle East and Africa Artificial Intelligence Robots Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2019-2032

• 10.1. Key Findings
• 10.2. By Component (USD)
  • 10.2.1. Hardware
  • 10.2.2. Software
• 10.3. By Technology (USD)
  • 10.3.1. Machine Learning
  • 10.3.2. Natural Language Processing
  • 10.3.3. Computer Vision
  • 10.3.4. Context Awareness
• 10.4. By Application (USD)
  • 10.4.1. Industrial Robots
  • 10.4.2. Service Robots
• 10.5. By End User (USD)
  • 10.5.1. Manufacturing
  • 10.5.2. Transportation & Logistics
  • 10.5.3. Healthcare
  • 10.5.4. Retail & E-commerce
  • 10.5.5. Military & Defense
  • 10.5.6. Automotive
  • 10.5.7. Others
• 10.6. By Country (USD)
  • 10.6.1. GCC
    • 10.6.1.1. By End User (USD)
  • 10.6.2. South Africa
    • 10.6.2.1. By End User (USD)
  • 10.6.3. Rest of Middle East and Africa

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

• 11.1. NVIDIA Corporation
  • 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. ABB
  • 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. Alphabet Inc.
  • 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. Boston Dynamics
  • 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. Brain Corporation
  • 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. Fanuc
  • 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. Figure AI
  • 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. Hanson Robotics
  • 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. SoftBank Group Corp
  • 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. UBTech Robotics
  • 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