한글목차

세계의 휴머노이드 로봇 시장은 복잡한 경제적 의미를 지닌 중요한 기술적 프론티어입니다. 주요 기술 개발은 주로 미국과 중국에 집중되어 있습니다. 휴머노이드 로봇의 기술적 성숙도는 아직 초기 단계에 있으며, 실용화는 현재 관리된 산업 환경에 한정되어 있습니다. 휴머노이드 로봇 기술의 장기적인 실현 가능성과 경제적 영향을 결정하기 위해서는 지속적인 연구개발이 필수적입니다. 인간과 같은 복잡하고 적응적인 상호작용이 가능한 범용성이 높고 비용효율이 높은 자율시스템의 실현에는 큰 과제가 남아 있습니다.

이 보고서는 세계 휴머노이드 로봇 시장에 대해 자세히 분석하고 여러 산업 분야의 기술 발전, 시장 역학 및 미래의 가능성에 대한 지식을 제공합니다.

목차

제1장 서론

• 휴머노이드 로봇: 정의와 특징
• 과거의 개요와 진화
• 휴머노이드 로봇 현상(2025년)
• 휴머노이드 로봇의 중요성
• 시장과 용도(TRL)
• 상업개발 단계와 모델
• 투자 및 자금조달
• 비용
• 시장 성장 촉진요인
• 과제
• 세계의 규제
• 일본 시장
• 미국 시장
• 중국 시장

제2장 기술과 컴포넌트 분석

• 휴머노이드 로봇 설계의 진보
• 중요한 구성 요소
• 지능형 제어 시스템, 최적화
• 첨단 로보틱스, 자동화
• 제조
• 브레인 컴퓨터 인터페이스
• 로보틱스, 인텔리전트 헬스
• 마이크로-나노로봇
• 의료, 재활 로봇
• 메카트로닉스 및 로보틱스
• 화상 처리, 로보틱스, 지능형 비전
• AI, 머신러닝
• 센서, 인식 기술
• 전력, 에너지 관리
• 액추에이터
• 모터
• 감속기
• 나사
• 베어링
• 암 이펙터
• 휴머노이드 로봇용 SoC
• 클라우드 로보틱스 및 IoRT(Internet of Robotic Things)
• 휴먼 로봇 인터랙션(HRI) 및 소셜 로보틱스
• 생체 모방 및 바이오 인스파이어드 디자인
• 휴머노이드 로봇용 재료
• 피부조직의 결합

제3장 최종 용도 시장

• 시장 공급망
• 상업화 수준
• 의료 및 지원
• 교육 및 연구
• 고객 서비스 및 호스피탈리티
• 엔터테인먼트 레저
• 제조 및 공업
• 군 및 방위
• 개인 사용 및 가정용

제4장 세계 시장 규모(수량과 수익)(2025-2035년)

• 세계의 출하 대수(합계)
• 대수 : 로봇 유형별
• 대수 : 지역별
• 수익(총)
• 수익 : 최종 용도 시장별
• 자동차
• 물류 및 창고
• 배터리 용량(GWh) 예측
• 하드웨어 컴포넌트

제5장 기업 프로파일(기업 59사의 프로파일)

제6장 학술계가 개발한 휴머노이드 로봇

제7장 조사 방법

제8장 참고문헌

영문목차

The emerging humanoid robotics market represents a significant technological frontier with complex economic implications. Current market projections estimate a potential market value of $38 billion by 2035, driven by advances in artificial intelligence and autonomous systems. Key technological developments are primarily concentrated in the United States and China. Economic disruption is expected in labour markets, with early applications focusing on manufacturing, logistics, and specialized service environments. The technological maturity of humanoid robots remains in early stages, with practical deployment currently limited to controlled industrial settings. Ongoing research and development will be critical in determining the long-term viability and economic impact of humanoid robotic technologies. Significant challenges persist in achieving versatile, cost-effective autonomous systems capable of complex, adaptive human-like interactions.

"The Global Humanoid Robots Market 2025-2035" provides an in-depth analysis of the global humanoid robotics sector, offering u insights into technological advancements, market dynamics, and future potential across multiple industries.

Contents include:

• Detailed analysis of global humanoid robot market
• Comprehensive technology assessment
• In-depth exploration of end-use markets
• Conservative and optimistic market projections
• Global regulatory landscape examination
• Technical analysis covering:
  • Advanced robotics design
  • Intelligent control systems
  • Sensor and perception technologies
  • Materials innovation
  • Power and energy management
  • Human-robot interaction methodologies
• Extensive market segmentation across critical domains including:
  • Healthcare and Assistance
  • Education and Research
  • Customer Service
  • Entertainment
  • Manufacturing
  • Military and Defense
  • Personal and Domestic Applications
• Comprehensive regional analysis including:
  • United States market dynamics
  • China's technological ecosystem
  • Japanese robotics innovations
  • Emerging market opportunities
• Company and Technology Landscape. Detailed profiles of 59 humanoid robotics companies including Addverb Technologies, Agibot, Agility Robotics, Apptronik, Baidu, Beijing HRIC, Boardwalk Robotics, Booster Robotics, Boston Dynamics, BXI Robotics, Clone Robotics, Cosine Robots, Dataa Robotics, Dreame Technology, Electron Robots, Elephant Robotics, Embodied, EngineAI, Engineered Arts, EX Robots, FDROBOT, Figure AI, Fourier Intelligence, GAC, Galbot, Generation Robots, Hanson Robotics, Honda, Humanoid, Humanoid Robots (Shanghai) Limited, Kawasaki Heavy Industries, Kepler, K-Scale Labs, Leju Robotics, LimX Dynamics, Macco Robotics, Mentee Robotics, Mimic, Neura Robotics, NVIDIA, 1X Technologies, Oversonic, PAL Robotics, PaXini Technology, Persona AI, Rainbow Robotics, Rhoban Robots, RobotEra and more...

Table of Contents

1. INTRODUCTION

• 1.1. Humanoid Robots: Definition and Characteristics
• 1.2. Historical Overview and Evolution
• 1.3. Current State of Humanoid Robots in 2025
• 1.4. The Importance of Humanoid Robots
• 1.5. Markets and Applications (TRL)
• 1.6. Models and Stage of Commercial Development
• 1.7. Investments and Funding
• 1.8. Costs
  • 1.8.1. Type
  • 1.8.2. Components
  • 1.8.3. Cost Evolution
• 1.9. Market Drivers
  • 1.9.1. Advancements in Artificial Intelligence (AI) and Machine Learning (ML)
  • 1.9.2. Labour force shortages
  • 1.9.3. Labour force substitution
  • 1.9.4. Need for Personal Assistance and Companionship
  • 1.9.5. Exploration of Hazardous and Extreme Environments
• 1.10. Challenges
  • 1.10.1. Commercial Challenges
  • 1.10.2. Technical Challenges
• 1.11. Global regulations
• 1.12. Market in Japan
• 1.13. Market in United States
• 1.14. Market in China

2. TECHNOLOGY AND COMPONENT ANALYSIS

• 2.1. Advancements in Humanoid Robot Design
• 2.2. Critical Components
• 2.3. Intelligent Control Systems and Optimization
• 2.4. Advanced Robotics and Automation
• 2.5. Manufacturing
  • 2.5.1. Design and Prototyping
  • 2.5.2. Component Manufacturing
  • 2.5.3. Assembly and Integration
  • 2.5.4. Software Integration and Testing
  • 2.5.5. Quality Assurance and Performance Validation
  • 2.5.6. Challenges
    • 2.5.6.1. Actuators
    • 2.5.6.2. Reducers
    • 2.5.6.3. Thermal management
    • 2.5.6.4. Batteries
    • 2.5.6.5. Cooling
    • 2.5.6.6. Sensors
• 2.6. Brain Computer Interfaces
• 2.7. Robotics and Intelligent Health
  • 2.7.1. Robotic Surgery and Minimally Invasive Procedures
  • 2.7.2. Rehabilitation and Assistive Robotics
  • 2.7.3. Caregiving and Assistive Robots
  • 2.7.4. Intelligent Health Monitoring and Diagnostics
  • 2.7.5. Telemedicine and Remote Health Management
  • 2.7.6. Robotics in Mental Health
• 2.8. Micro-nano Robots
• 2.9. Medical and Rehabilitation Robots
• 2.10. Mechatronics and Robotics
• 2.11. Image Processing, Robotics and Intelligent Vision
• 2.12. Artificial Intelligence and Machine Learning
  • 2.12.1. Overview
  • 2.12.2. AI Hardware and Software
    • 2.12.2.1. Functions
    • 2.12.2.2. Simulation
    • 2.12.2.3. Motion Planning and Control
    • 2.12.2.4. Foundation Models
    • 2.12.2.5. Synthetic Data Generation
    • 2.12.2.6. Multi-contact planning and control
  • 2.12.3. End-to-end AI
  • 2.12.4. Multi-modal AI algorithms
• 2.13. Sensors and Perception Technologies
  • 2.13.1. Vision Systems
    • 2.13.1.1. Commerical examples
  • 2.13.2. Hybrid LiDAR-camera approaches
  • 2.13.3. Cameras and LiDAR
    • 2.13.3.1. Cameras (RGB, depth, thermal, event-based)
    • 2.13.3.2. Stereo vision and 3D perception
    • 2.13.3.3. Optical character recognition (OCR)
    • 2.13.3.4. Facial recognition and tracking
    • 2.13.3.5. Gesture recognition
    • 2.13.3.6. mmWave Radar
  • 2.13.4. Tactile and Force Sensors
    • 2.13.4.1. Value proposition of advanced tactile systems
    • 2.13.4.2. Commercial examples
    • 2.13.4.3. Flexible tactile sensors
    • 2.13.4.4. Tactile sensing for humanoid extremities
    • 2.13.4.5. Tactile sensors (piezoresistive, capacitive, piezoelectric)
    • 2.13.4.6. Force/torque sensors (strain gauges, load cells)
    • 2.13.4.7. Haptic feedback sensors
    • 2.13.4.8. Skin-like sensor arrays
  • 2.13.5. Auditory Sensors
    • 2.13.5.1. Microphones (array, directional, binaural)
    • 2.13.5.2. Sound Localization and Source Separation
    • 2.13.5.3. Speech Recognition and Synthesis
    • 2.13.5.4. Acoustic Event Detection
  • 2.13.6. Inertial Measurement Units (IMUs)
    • 2.13.6.1. Accelerometers
    • 2.13.6.2. Gyroscopes
    • 2.13.6.3. Magnetometers
    • 2.13.6.4. Attitude and Heading Reference Systems (AHRS)
  • 2.13.7. Proximity and Range Sensors
    • 2.13.7.1. Ultrasonic sensors
    • 2.13.7.2. Laser range finders (LiDAR)
    • 2.13.7.3. Radar sensors
    • 2.13.7.4. Time-of-Flight (ToF) sensors
  • 2.13.8. Environmental Sensors
    • 2.13.8.1. Temperature sensors
    • 2.13.8.2. Humidity sensors
    • 2.13.8.3. Gas and chemical sensors
    • 2.13.8.4. Pressure sensors
  • 2.13.9. Biometric Sensors
    • 2.13.9.1. Heart rate sensors
    • 2.13.9.2. Respiration sensors
    • 2.13.9.3. Electromyography (EMG) sensors
    • 2.13.9.4. Electroencephalography (EEG) sensors
  • 2.13.10. Sensor Fusion
    • 2.13.10.1. Kalman Filters
    • 2.13.10.2. Particle Filters
    • 2.13.10.3. Simultaneous Localization and Mapping (SLAM)
    • 2.13.10.4. Object Detection and Recognition
    • 2.13.10.5. Semantic Segmentation
    • 2.13.10.6. Scene Understanding
• 2.14. Power and Energy Management
  • 2.14.1. Battery Technologies
  • 2.14.2. Challenges
  • 2.14.3. Energy Harvesting and Regenerative Systems
    • 2.14.3.1. Energy Harvesting Techniques
    • 2.14.3.2. Regenerative Braking Systems
    • 2.14.3.3. Hybrid Power Systems
  • 2.14.4. Power Distribution and Transmission
    • 2.14.4.1. Efficient Power Distribution Architectures
    • 2.14.4.2. Advanced Power Electronics and Motor Drive Systems
    • 2.14.4.3. Distributed Power Systems and Intelligent Load Management
  • 2.14.5. Thermal Management
    • 2.14.5.1. Cooling Systems
    • 2.14.5.2. Thermal Modeling and Simulation Techniques
    • 2.14.5.3. Advanced Materials and Coatings
  • 2.14.6. Energy-Efficient Computing and Communication
    • 2.14.6.1. Low-Power Computing Architectures
    • 2.14.6.2. Energy-Efficient Communication Protocols and Wireless Technologies
    • 2.14.6.3. Intelligent Power Management Strategies
  • 2.14.7. Wireless Power Transfer and Charging
  • 2.14.8. Energy Optimization and Machine Learning
• 2.15. Actuators
  • 2.15.1. Humanoid robot actuation systems
  • 2.15.2. Actuators in humanoid joint systems
  • 2.15.3. Energy transduction mechanism
• 2.16. Motors
  • 2.16.1. Overview
  • 2.16.2. Frameless motors
  • 2.16.3. Brushed/Brushless Motors
  • 2.16.4. Coreless motors
• 2.17. Reducers
  • 2.17.1. Harmonic reducers
  • 2.17.2. RV (Rotary Vector) reducers
  • 2.17.3. Planetary gear systems
• 2.18. Screws
  • 2.18.1. Screw-based transmission systems
  • 2.18.2. Ball screw assemblies
  • 2.18.3. Planetary Roller Screws
• 2.19. Bearings
  • 2.19.1. Overview
• 2.20. Arm Effectors
  • 2.20.1. Overview
  • 2.20.2. Hot-swappable end effector systems
  • 2.20.3. Challenges
• 2.21. SoCs for Humanoid Robotics
• 2.22. Cloud Robotics and Internet of Robotic Things (IoRT)
• 2.23. Human-Robot Interaction (HRI) and Social Robotics
• 2.24. Biomimetic and Bioinspired Design
• 2.25. Materials for Humanoid Robots
  • 2.25.1. New materials development
  • 2.25.2. Metals
    • 2.25.2.1. Magnesium Alloy
  • 2.25.3. Shape Memory Alloys
  • 2.25.4. Plastics and Polymers
  • 2.25.5. Composites
  • 2.25.6. Elastomers
  • 2.25.7. Smart Materials
  • 2.25.8. Textiles
  • 2.25.9. Ceramics
  • 2.25.10. Biomaterials
  • 2.25.11. Nanomaterials
  • 2.25.12. Coatings
    • 2.25.12.1. Self-healing coatings
    • 2.25.12.2. Conductive coatings
• 2.26. Binding Skin Tissue

3. END USE MARKETS

• 3.1. Market supply chain
• 3.2. Level of commercialization
• 3.3. Healthcare and Assistance
• 3.4. Education and Research
• 3.5. Customer Service and Hospitality
• 3.6. Entertainment and Leisure
• 3.7. Manufacturing and Industry
  • 3.7.1. Overview
    • 3.7.1.1. Assembly and Production
    • 3.7.1.2. Quality Inspection
    • 3.7.1.3. Warehouse Assistance
  • 3.7.2. Automotive
    • 3.7.2.1. Commercial examples
  • 3.7.3. Logistics
    • 3.7.3.1. Warehouse environments
    • 3.7.3.2. Commercial examples
• 3.8. Military and Defense
• 3.9. Personal Use and Domestic Settings

4. GLOBAL MARKET SIZE (UNITS AND REVENUES) 2025-2035

• 4.1. Global shipments in units (Total)
• 4.2. By type of robot in units
• 4.3. By region in units
• 4.4. Revenues (Total)
• 4.5. Revenues (By end use market)
• 4.6. Automotive
  • 4.6.1. Revenues
  • 4.6.2. Units
  • 4.6.3. Deployment
• 4.7. Logistics and warehousing
  • 4.7.1. Revenues
  • 4.7.2. Units
  • 4.7.3. Deployment
• 4.8. Battery Capacity (GWh) Forecast
• 4.9. Hardware Components

5. COMPANY PROFILES (59 company profiles)

6. HUMANOID ROBOTS DEVELOPED BY ACADEMIA

7. RESEARCH METHODOLOGY

8. REFERENCES