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시장보고서
상품코드
2121187
AI 탑재 산업용 로봇 시장 기회, 성장요인, 업계 동향 분석 및 예측(2026-2035년)AI-Powered Industrial Robot Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2026 - 2035 |
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세계의 AI 탑재 산업용 로봇 시장은 2025년에 79억 달러 규모에 달하며, 2035년까지 CAGR 12.2%로 성장하며, 279억 달러에 달할 것으로 예측됩니다.
제조업체들이 생산 효율성과 운영상의 유연성을 높이기 위해 소프트웨어 정의 자동화를 점점 더 많이 도입함에 따라 이 시장은 계속해서 성장세를 보이고 있습니다. 지능형 자동화 솔루션에 대한 투자가 확대됨에 따라 기업은 더 신속하고 적응력이 뛰어난 제조 환경을 지원할 수 있는 첨단 AI 탑재 산업용 로봇의 도입을 촉진하고 있습니다. 로봇 업계 전반에서 합병 및 인수(M&A) 활동이 활발해지고 있는 점도 기술 개발을 가속화하고 있으며, 기업은 제품 포트폴리오를 확대하고 경쟁력을 강화할 수 있게 되었습니다. 그 결과, AI 기반 산업용 로봇은 기존의 자동화 기술을 대체하여 더 높은 정밀도, 확장성 및 운영 성능을 실현하는 지능형 시스템으로 꾸준히 자리 잡고 있습니다. 고급 AI 기능을 통해 이러한 로봇은 생산 데이터를 분석하고 제조 워크플로우를 실시간으로 지속적으로 최적화할 수 있게 되어, 맞춤형 다품종 소량 생산에 대한 수요 증가에 대응하고 있습니다. 스마트 팩토리에 대한 투자 증가, 유럽 및 아시아태평양의 자동화 예산 확대, 그리고 북미에서의 지속적인 제조 활동의 국내 복귀는 AI 탑재 산업용 로봇의 상업적 실현 가능성을 더욱 높이고, 여러 산업 분야에 걸친 장기적인 시장 확장을 주도하고 있습니다.
| 시장 범위 | |
|---|---|
| 시작연도 | 2025년 |
| 예측 기간 | 2026-2035년 |
| 개시 금액 | 79억 달러 |
| 예측액 | 279억 달러 |
| CAGR | 12.2% |
에이전트형 AI 및 생성형 AI 모델을 탑재한 AI 기반 산업용 로봇을 통해 제조업체는 생산 현황과 운영 데이터를 지속적으로 모니터링할 수 있을 뿐만 아니라, 지능적인 의사결정을 통해 제조 효율을 향상시킬 수 있습니다. 이러한 첨단 로봇 시스템은 실시간 공정 최적화를 지원하며, 생산 시설이 변화하는 제조 요구 사항에 더 효과적에 대응할 수 있도록 돕습니다. 운영 가시성을 높이고 생산 최적화를 가속화하는 이러한 능력은 유연한 제조가 점점 더 중요시되는 업계 동향과 부합하며, AI 탑재 산업용 로봇은 시장 전체의 성장에 중요한 역할을 하고 있습니다.
SCARA 로봇 부문은 전자기기 조립 및 식품 포장 용도에서의 견고한 수요를 반영하여, 2035년까지 연평균 성장률(CAGR) 8%로 성장할 것으로 예상됩니다. 이러한 부문에서 AI 탑재 산업용 로봇은 반복적인 생산 작업에서 신속하고 정확하며 고효율적인 동작을 실현하므로 도입이 계속해서 확대되고 있습니다. 제조업체들은 대량 생산 업무 전반에 걸쳐 일관된 성능, 지능형 모니터링 및 생산성 향상이 요구되는 용도에서 AI 지원 로봇 시스템을 점점 더 선호하고 있습니다.
기계학습 및 딥러닝 부문은 2025년에 33.5%의 점유율을 차지하며 26억 달러 규모의 시장을 창출했습니다. 현대 제조 시설에서 자율적인 의사결정 및 예측 유지보수 기능을 실현하기 위해 제조업체들이 지능형 알고리즘을 점점 더 많이 채택함에 따라 이 부문은 시장에서 가장 큰 점유율을 차지했습니다. AI 기반 분석의 도입 확대에 따라 산업용 로봇 애플리케이션 전반에 걸쳐 기계학습 및 딥러닝 기술에 대한 수요는 계속해서 증가하고 있습니다.
북미의 AI 탑재 산업용 로봇 시장은 2025년에 13억 달러의 시장 규모를 기록했습니다. 미국은 확고한 제조업 기반과 공급망 회복력 강화 및 국내 제조 역량 확대를 목표로 한 생산 활동의 국내 복귀를 위한 투자 증가에 힘입어, 해당 지역 시장 가치의 84% 이상을 차지했습니다.
자주 묻는 질문
목차
제1장 조사 방법과 범위
제2장 개요
제3장 업계 인사이트
제4장 경쟁 구도
제5장 시장 추산·예측 : 로봇 유형별, 2022-2035년
제6장 시장 추산·예측 : 기술별, 2022-2035년
제7장 시장 추산·예측 : 용도별, 2022-2035년
제8장 시장 추산·예측 : 최종사용자별, 2022-2035년
제9장 시장 추산·예측 : 지역별, 2022-2035년
제10장 기업 개요
KSAThe Global AI-Powered Industrial Robot Market was valued at USD 7.9 billion in 2025 and is estimated to grow at a CAGR of 12.2% to reach USD 27.9 billion by 2035.
The market continues to gain momentum as manufacturers increasingly adopt software-defined automation to improve production efficiency and operational flexibility. Growing investments in intelligent automation solutions are encouraging companies to deploy advanced AI-powered industrial robots capable of supporting faster and more adaptive manufacturing environments. Rising merger and acquisition activity across the robotics industry is also accelerating technology development, enabling companies to broaden their product portfolios and strengthen their competitive positions. As a result, AI-powered industrial robots are steadily replacing conventional automation technologies with more intelligent systems that deliver greater precision, scalability, and operational performance. Advanced AI capabilities enable these robots to analyze production data and continuously optimize manufacturing workflows in real time, supporting the growing demand for customized and high-mix production. Increasing investments in smart factories, expanding automation budgets across Europe and Asia-Pacific, and the continued reshoring of manufacturing activities in North America are further improving the commercial viability of AI-powered industrial robots and driving long-term market expansion across multiple industrial sectors.
| Market Scope | |
|---|---|
| Start Year | 2025 |
| Forecast Year | 2026-2035 |
| Start Value | $7.9 Billion |
| Forecast Value | $27.9 Billion |
| CAGR | 12.2% |
AI-powered industrial robots equipped with agentic AI and generative AI models enable manufacturers to monitor production conditions and operational data continuously while improving manufacturing efficiency through intelligent decision-making. These advanced robotic systems support real-time process optimization, helping production facilities respond more effectively to changing manufacturing requirements. Their ability to improve operational visibility and accelerate production optimization aligns with the industry's increasing emphasis on flexible manufacturing, making AI-powered industrial robots an important contributor to overall market growth.
The SCARA robots segment is expected to grow at a CAGR of 8% through 2035, reflecting steady demand from electronics assembly and food packaging applications. AI-powered industrial robots in these categories continue to gain wider adoption because they deliver fast, accurate, and highly efficient movement during repetitive production tasks. Manufacturers increasingly prefer AI-enabled robotic systems for applications requiring consistent performance, intelligent monitoring, and enhanced productivity throughout high-volume manufacturing operations.
The machine learning & deep learning segment accounted for 33.5% share in 2025, generating USD 2.6 billion. This segment represented the largest share of the market as manufacturers increasingly adopted intelligent algorithms to enable autonomous decision-making and predictive maintenance capabilities within modern manufacturing facilities. The growing implementation of AI-driven analytics continues to strengthen demand for machine learning and deep learning technologies across industrial robotics applications.
North America AI-Powered Industrial Robot Market generated USD 1.3 billion in 2025. The United States accounted for more than 84% of the regional market value, supported by a well-established manufacturing industry and increasing investments aimed at reshoring production activities to strengthen supply chain resilience and expand domestic manufacturing capabilities.
Major companies operating in the global AI-powered industrial robot market include ABB Ltd, Agility Robotics, Inc., Boston Dynamics, Inc., Epson America Inc., FANUC Corporation, Flexiv, Figure AI, Inc., Kawasaki Heavy Industries Ltd., Keyence Corporation, KUKA SE & Co. KGaA, Neura Robotics, NVIDIA Corporation, Omron Corporation, Standard Bots, Symbiotic Inc., Teradyne, Inc., Tesla, Inc., and Yaskawa Electric Corporation. Companies operating in the AI-powered industrial robot market are strengthening their market positions through continuous investments in artificial intelligence, robotics software, and intelligent automation technologies. Many organizations are expanding their product portfolios by developing advanced robotic platforms with enhanced autonomy, predictive capabilities, and flexible deployment options. Strategic mergers, acquisitions, and technology partnerships remain key approaches for accelerating innovation, improving engineering expertise, and expanding global market reach. Manufacturers are also increasing research and development spending to improve robot intelligence, software integration, and operational efficiency. In addition, companies are focusing on regional expansion, strengthening distribution networks, and collaborating with manufacturing customers to deliver customized automation solutions.
Table of Contents
Chapter 1 Methodology and Scope
- 1.1 Market scope and definition
- 1.2 Research design
- 1.2.1 Research approach
- 1.2.2 Data collection methods
- 1.3 Data mining sources
- 1.3.1 Global
- 1.3.2 Regional/Country
- 1.4 Base estimates and calculations
- 1.4.1 Base year calculation
- 1.4.2 Key trends for market estimation
- 1.5 Primary research and validation
- 1.5.1 Primary sources
- 1.6 Forecast model
- 1.7 Research assumptions and limitations
Chapter 2 Executive Summary
- 2.1 Industry 360° synopsis
- 2.2 Key market trends
- 2.2.1 Regional
- 2.2.2 Robot Type
- 2.2.3 Technology
- 2.2.4 Application
- 2.2.5 End User
Chapter 3 Industry Insights
- 3.1 Industry ecosystem analysis
- 3.1.1 Supplier landscape
- 3.1.2 Profit margin
- 3.1.3 Value addition at each stage
- 3.1.4 Factor affecting the value chain
- 3.2 Industry impact forces
- 3.2.1 Growth drivers
- 3.2.1.1 Rising Participation Among Youth & Women
- 3.2.1.2 Labor shortages & reshoring
- 3.2.1.3 Generative AI & LLM Integration
- 3.2.1.4 IT/OT Convergence
- 3.2.2 Industry pitfalls & challenges
- 3.2.2.1 High Integration Complexity
- 3.2.2.2 Data Privacy & Cybersecurity
- 3.2.3 Opportunities
- 3.2.3.1 Robot-as-a-Service (RaaS)
- 3.2.3.2 Humanoid General-Purpose Robots
- 3.2.1 Growth drivers
- 3.3 Growth potential analysis
- 3.4 Future market trends
- 3.5 Technology and innovation landscape
- 3.5.1 Current technological trends
- 3.5.2 Emerging technologies
- 3.6 Price trends
- 3.6.1 Global Average Selling Price (ASP) by Robot Type (Driven by Primary Research)
- 3.6.2 Regional Price Benchmarking (APAC vs. North America vs. Europe) (Driven by Primary Research)
- 3.6.3 Historical Global Price Trend Analysis (2018–2025) (Driven by Primary Research)
- 3.6.4 Pricing Strategy by Player Type — Global (Premium / Value / Cost-plus) (Driven by Primary Research)By region
- 3.7 Regulatory landscape
- 3.7.1 Standards and compliance requirements
- 3.7.2 Regional regulatory frameworks
- 3.7.3 Certification standards
- 3.8 Porter’s analysis
- 3.9 PESTEL analysis
- 3.10 Trade Data Analysis (Driven by Primary Research)
- 3.10.1 Key Importing Nations & Growth Markets (Driven by Primary Research)
- 3.10.2 Taiwan's Global Robot & Component Export Intelligence (Driven by Primary Research)
- 3.10.3 CPTPP Trade Flows Taiwan's Preferential Access to Member Markets (Driven by Primary Research)
- 3.10.4 RCEP Impact on China-Centered vs. Taiwan-Centered Supply Chains (Driven by Primary Research)
- 3.10.5 Key Global Port & Logistics Hub Analysis (Driven by Primary Research)
- 3.11 Impact of AI & Generative AI on Midwest Manufacturing
- 3.11.1 AI-Driven Disruption of Midwest Manufacturing Business Models
- 3.11.2 GenAI Use Cases & Adoption Roadmap
- 3.11.3 Large Language Model (LLM) Integration
- 3.11.4 Agentic AI Decision-Making Pilots
- 3.11.5 Risks, Limitations & Regulatory Considerations
- 3.12 Capacity & Production Landscape (Driven by Primary Research)
- 3.12.1 Manufacturing Capacity Installed by State (Driven by Primary Research)
- 3.12.2 Capacity Utilization Rates & Expansion Pipelines (State-Level) (Driven by Primary Research)
Chapter 4 Competitive Landscape, 2025
- 4.1 Introduction
- 4.2 Company market share analysis
- 4.2.1 By region
- 4.2.1.1 North America
- 4.2.1.2 Europe
- 4.2.1.3 Asia Pacific
- 4.2.1.4 Latin America
- 4.2.1.5 Middle East and Africa
- 4.2.1 By region
- 4.3 Company matrix analysis
- 4.4 Competitive analysis of major market players
- 4.5 Competitive positioning matrix
- 4.6 Key developments
- 4.6.1 Mergers & acquisitions
- 4.6.2 Partnerships & collaborations
- 4.6.3 New product launches
- 4.6.4 Expansion plans
Chapter 5 Market Estimates and Forecast, By Robot Type, 2022 – 2035 (USD Billion) (Thousand Units)
- 5.1 Key trends
- 5.2 Articulated Robots
- 5.3 SCARA Robots
- 5.4 Delta Robots
- 5.5 Others
Chapter 6 Market Estimates and Forecast, By Technology, 2022 – 2035 (USD Billion) (Thousand Units)
- 6.1 Key trends
- 6.2 Machine Learning & Deep Learning
- 6.3 Computer Vision & Imaging
- 6.4 Natural Language Processing (NLP)
- 6.5 Others
Chapter 7 Market Estimates and Forecast, By Application, 2022 – 2035 (USD Billion) (Thousand Units)
- 7.1 Key trends
- 7.2 Assembly & Material Handling
- 7.3 Welding & Machining
- 7.4 Packaging & Palletizing
- 7.5 Quality Inspection & Vision Systems
- 7.6 Logistics & Warehousing
- 7.7 Painting & Coating
- 7.8 Others
Chapter 8 Market Estimates and Forecast, By End User, 2022 – 2035 (USD Billion) (Thousand Units)
- 8.1 Key trends
- 8.2 Automotive
- 8.3 Electronics & Electrical
- 8.4 Food & Beverage
- 8.5 Pharmaceuticals & Healthcare
- 8.6 Consumer Goods
- 8.7 Logistics & Warehousing
- 8.8 Others
Chapter 9 Market Estimates and Forecast, By Region, 2022 – 2035 (USD Billion) (Thousand Units)
- 9.1 Key trends
- 9.2 North America
- 9.2.1 U.S.
- 9.2.2 Canada
- 9.3 Europe
- 9.3.1 Germany
- 9.3.2 UK
- 9.3.3 France
- 9.3.4 Italy
- 9.3.5 Spain
- 9.4 Asia Pacific
- 9.4.1 China
- 9.4.2 Japan
- 9.4.3 India
- 9.4.4 Australia
- 9.4.5 South Korea
- 9.5 Latin America
- 9.5.1 Brazil
- 9.5.2 Mexico
- 9.5.3 Argentina
- 9.6 Middle East and Africa
- 9.6.1 South Africa
- 9.6.2 Saudi Arabia
- 9.6.3 UAE
Chapter 10 Company Profiles
- 10.1 Global players
- 10.1.1 ABB Ltd
- 10.1.2 Agility Robotics, Inc.
- 10.1.3 Boston Dynamics, Inc.
- 10.1.4 FANUC Corporation
- 10.1.5 Figure AI, Inc.
- 10.1.6 Kawasaki Heavy Industries Ltd.
- 10.2 Regional players
- 10.2.1 Keyence Corporation
- 10.2.2 KUKA SE & Co. KGaA
- 10.2.3 NVIDIA Corporation
- 10.2.4 Omron Corporation
- 10.2.5 Standard Bots
- 10.2.6 Symbiotic Inc.
- 10.3 Emerging players
- 10.3.1 Teradyne, Inc.
- 10.3.2 Tesla, Inc.
- 10.3.3 Yaskawa Electric Corporation
- 10.3.4 Epson America Inc.
- 10.3.5 Neura Robotics
- 10.3.6 Flexiv
