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类人型机器人的全球市场:技术，市场，企业(2025年～2035年)
市场调查报告书
商品编码
1548193

类人型机器人的全球市场:技术，市场，企业(2025年～2035年)

Humanoid Robots Global Market 2025-2035: Technologies, Markets and Companies
出版日期: | 出版商: Future Markets, Inc. | 英文 270 Pages, 74 Tables, 53 Figures | 订单完成后即时交付

价格

製造机器人已被引入全球大多数工厂，并且正在迅速增加。中国特斯拉超级工厂的自动化生产占95%。由于人工智慧的进步和组件成本的降低，预计人形机器人将得到越来越多的部署。使用人工智慧，现在可以让人形机器人学习任务。劳动力供应问题和医疗保健领域的机会也受到关注。

本报告提供全球类人型机器人市场相关调查分析，提供各地区市场规模与预测，推动因素与课题，法规形势，主要企业52公司的简介等资讯。

目录

第1章 简介

  • 类人型机器人:定义与特征
  • 过去的概要与演进
  • 类人型机器人的现状(2024年)
  • 类人型机器人的重要性
  • 市场与用途(TRL)
  • 商业开发的模式和阶段
  • 投资与资金筹措
  • 市场新闻和商业开发(2023年～2034年)
  • 成本
    • 类型
    • 零组件
  • 推动市场要素
    • 人工智慧和机器学习 (ML) 领域的进展
    • 劳动力短缺
    • 劳动力替代
    • 需要个人协助与陪伴
    • 探索危险与恶劣的环境
  • 市场课题
  • 技术课题
  • 全球法规
  • 日本市场
  • 美国市场
  • 中国市场

第2章 技术分析

  • 人形机器人设计的进展
  • 智慧控制系统及最佳化
  • 先进的机器人技术与自动化
  • 智慧製造
  • 脑机接口
  • 机器人与智慧健康
  • 微奈米机器人
  • 医疗/復健机器人
  • 机电一体化与机器人技术
  • 影像处理、机器人、智慧视觉
  • 人工智慧与机器学习
  • 感测器和识别技术
  • 电源/能源管理
  • 用于人形机器人的 SoC
  • 云端机器人与机器人网路 (IoRT)
  • 人机互动 (HRI) 与社交机器人
  • 仿生设计与仿生设计
  • 人形机器人材料
  • 皮肤组织的连接

第3章 最终用途市场

  • 市场供应链
  • 医疗·支援
  • 教育·研究
  • 顾客服务·饭店
  • 娱乐·休閒
  • 製造·工业
  • 军事·防卫
  • 个人使用·家庭环境

第4章 与全球市场规模(台数收益)(2024年～2035年)

  • 全球出货台数(总合)
  • 各机器人类型
  • 台数:各地区
  • 收益(总合)
  • 收益:最终用途各市场

第5章 企业简介(企业52公司的简介)

第6章 学术界所开发的类人型机器人

第7章 调查手法

第8章 参考文献

Manufacturing robots are in most factories globally and rapidly increasing. At the Tesla Gigafactory in China, automation counts for 95% of manufacturing. Humanoid robots will be increasingly deployed due to advances in AI and reduction in component costs. The use of AI has made it possible to have humanoid robots learn tasks rather than having to programme every single move separately. Issues with labour supply and opportunities in healthcare are also driving interest.

"The Humanoid Robots Global Market 2024-2035" report contents include:

  • Detailed examination of humanoid robot classifications
  • Market Drivers, Challenges, and Regulatory Landscape
  • Market evolution, current state, and future trajectory
  • List of humanoid robots and commercial stage of development
  • Investments and funding
  • Market news and developments 2022-2034
  • Analysis of supply chain including Electronics and Sensors, Actuators and Motors, Batteries and Power Systems, Materials, Software and AI
  • Cost analysis
  • Assessment of advancements in humanoid robot design, encompassing mechatronics, AI and machine learning, sensor technologies, human-robot interaction (HRI), cloud robotics, biomimetic design, and binding skin tissue
  • Market sizing and revenue projections for the global humanoid robots market from 2024 to 2035, segmented by type, region, and end-use market
  • Application in End-Use Markets including:
    • Healthcare and assistance
    • Education and research
    • Customer service and hospitality
    • Entertainment and leisure
    • Manufacturing and industry
    • Military and defense
    • Personal and domestic use
  • Detailed profiles of 52 key players, including industry leaders, disruptors, and emerging innovators. Companies profiled include Agility Robotics, Apptronik, Baidu, Boston Dynamics, Chunmi, Dreame Technology, Embodied, Engineered Arts, EX Robots, Figure AI, Fourier Intelligence, Hanson Robotics, Honda, IHMC, Kawasaki Heavy Industries, Kepler, Leju Robot, LimX Dynamics, Macco Robotics, MagicLab, Mentee Robotics, 1X Technologies, Oversonic, PAL Robotics, Rainbow Robotics, Robotis, Sanctuary AI, SoftBank Robotics, Tesla, Toyota, UBTECH, Unitree, Xioami, and XPENG Robotics
  • Academic developments

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 2024
  • 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. Market News and Commercial Developments 2023-2034
  • 1.9. Costs
    • 1.9.1. Type
    • 1.9.2. Components
  • 1.10. Market Drivers
    • 1.10.1. Advancements in Artificial Intelligence (AI) and Machine Learning (ML)
    • 1.10.2. Labour force shortages
    • 1.10.3. Labour force substitution
    • 1.10.4. Need for Personal Assistance and Companionship
    • 1.10.5. Exploration of Hazardous and Extreme Environments
  • 1.11. Market Challenges
  • 1.12. Technical Challenges
  • 1.13. Global regulations
  • 1.14. Market in Japan
  • 1.15. Market in United States
  • 1.16. Market in China

2. TECHNOLOGY ANALYSIS

  • 2.1. Advancements in Humanoid Robot Design
  • 2.2. Intelligent Control Systems and Optimization
  • 2.3. Advanced Robotics and Automation
  • 2.4. Intelligent Manufacturing
    • 2.4.1. Design and Prototyping
    • 2.4.2. Component Manufacturing
    • 2.4.3. Assembly and Integration
    • 2.4.4. Software Integration and Testing
    • 2.4.5. Quality Assurance and Performance Validation
  • 2.5. Brain Computer Interfaces
  • 2.6. Robotics and Intelligent Health
    • 2.6.1. Robotic Surgery and Minimally Invasive Procedures
    • 2.6.2. Rehabilitation and Assistive Robotics
    • 2.6.3. Caregiving and Assistive Robots
    • 2.6.4. Intelligent Health Monitoring and Diagnostics
    • 2.6.5. Telemedicine and Remote Health Management
    • 2.6.6. Robotics in Mental Health
  • 2.7. Micro-nano Robots
  • 2.8. Medical and Rehabilitation Robots
  • 2.9. Mechatronics and Robotics
  • 2.10. Image Processing, Robotics and Intelligent Vision
  • 2.11. Artificial Intelligence and Machine Learning
    • 2.11.1. Artificial Intelligence and Robotics
    • 2.11.2. End-to-end AI
    • 2.11.3. Multi-modal AI algorithms
  • 2.12. Sensors and Perception Technologies
    • 2.12.1. Vision Systems
      • 2.12.1.1. Cameras (RGB, depth, thermal, event-based)
      • 2.12.1.2. Stereo vision and 3D perception
      • 2.12.1.3. Optical character recognition (OCR)
      • 2.12.1.4. Facial recognition and tracking
      • 2.12.1.5. Gesture recognition
    • 2.12.2. Tactile and Force Sensors
      • 2.12.2.1. Tactile sensors (piezoresistive, capacitive, piezoelectric)
      • 2.12.2.2. Force/torque sensors (strain gauges, load cells)
      • 2.12.2.3. Haptic feedback sensors
      • 2.12.2.4. Skin-like sensor arrays
    • 2.12.3. Auditory Sensors
      • 2.12.3.1. Microphones (array, directional, binaural)
      • 2.12.3.2. Sound Localization and Source Separation
      • 2.12.3.3. Speech Recognition and Synthesis
      • 2.12.3.4. Acoustic Event Detection
    • 2.12.4. Inertial Measurement Units (IMUs)
      • 2.12.4.1. Accelerometers
      • 2.12.4.2. Gyroscopes
      • 2.12.4.3. Magnetometers
      • 2.12.4.4. Attitude and Heading Reference Systems (AHRS)
    • 2.12.5. Proximity and Range Sensors
      • 2.12.5.1. Ultrasonic sensors
      • 2.12.5.2. Laser range finders (LiDAR)
      • 2.12.5.3. Radar sensors
      • 2.12.5.4. Time-of-Flight (ToF) sensors
    • 2.12.6. Environmental Sensors
      • 2.12.6.1. Temperature sensors
      • 2.12.6.2. Humidity sensors
      • 2.12.6.3. Gas and chemical sensors
      • 2.12.6.4. Pressure sensors
    • 2.12.7. Biometric Sensors
      • 2.12.7.1. Heart rate sensors
      • 2.12.7.2. Respiration sensors
      • 2.12.7.3. Electromyography (EMG) sensors
      • 2.12.7.4. Electroencephalography (EEG) sensors
    • 2.12.8. Sensor Fusion
      • 2.12.8.1. Kalman Filters
      • 2.12.8.2. Particle Filters
      • 2.12.8.3. Simultaneous Localization and Mapping (SLAM)
      • 2.12.8.4. Object Detection and Recognition
      • 2.12.8.5. Semantic Segmentation
      • 2.12.8.6. Scene Understanding
  • 2.13. Power and Energy Management
    • 2.13.1. Battery Technologies
    • 2.13.2. Energy Harvesting and Regenerative Systems
      • 2.13.2.1. Energy Harvesting Techniques
      • 2.13.2.2. Regenerative Braking Systems
      • 2.13.2.3. Hybrid Power Systems
    • 2.13.3. Power Distribution and Transmission
      • 2.13.3.1. Efficient Power Distribution Architectures
      • 2.13.3.2. Advanced Power Electronics and Motor Drive Systems
      • 2.13.3.3. Distributed Power Systems and Intelligent Load Management
    • 2.13.4. Thermal Management
      • 2.13.4.1. Cooling Systems
      • 2.13.4.2. Thermal Modeling and Simulation Techniques
      • 2.13.4.3. Advanced Materials and Coatings
    • 2.13.5. Energy-Efficient Computing and Communication
      • 2.13.5.1. Low-Power Computing Architectures
      • 2.13.5.2. Energy-Efficient Communication Protocols and Wireless Technologies
      • 2.13.5.3. Intelligent Power Management Strategies
    • 2.13.6. Wireless Power Transfer and Charging
    • 2.13.7. Energy Optimization and Machine Learning
  • 2.14. SoCs for Humanoid Robotics
  • 2.15. Cloud Robotics and Internet of Robotic Things (IoRT)
  • 2.16. Human-Robot Interaction (HRI) and Social Robotics
  • 2.17. Biomimetic and Bioinspired Design
  • 2.18. Materials for Humanoid Robots
    • 2.18.1. New materials development
    • 2.18.2. Metals
    • 2.18.3. Plastics and Polymers
    • 2.18.4. Composites
    • 2.18.5. Elastomers
    • 2.18.6. Smart Materials
    • 2.18.7. Textiles
    • 2.18.8. Ceramics
    • 2.18.9. Biomaterials
    • 2.18.10. Nanomaterials
    • 2.18.11. Coatings
      • 2.18.11.1. Self-healing coatings
      • 2.18.11.2. Conductive coatings
  • 2.19. Binding Skin Tissue

3. END USE MARKETS

  • 3.1. Market supply chain
  • 3.2. Healthcare and Assistance
  • 3.3. Education and Research
  • 3.4. Customer Service and Hospitality
  • 3.5. Entertainment and Leisure
  • 3.6. Manufacturing and Industry
    • 3.6.1. Assembly and Production
    • 3.6.2. Quality Inspection
    • 3.6.3. Warehouse Assistance
  • 3.7. Military and Defense
  • 3.8. Personal Use and Domestic Settings

4. GLOBAL MARKET SIZE (UNITS AND REVENUES) 2024-2035

  • 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)

5. COMPANY PROFILES (52 company profiles)

6. HUMANOID ROBOTS DEVELOPED BY ACADEMIA

7. RESEARCH METHODOLOGY

8. REFERENCES

List of Tables

  • Table 1. Core Components of Humanoid Robots
  • Table 2. Classification of Humanoid Robots
  • Table 3. Historical Overview and Evolution of Humanoid Robots
  • Table 4. Importance of humanoid robots by end use
  • Table 5. Markets and applications for humanoid robots and TRL
  • Table 6. Humanoid Robots under commercial development
  • Table 7. Comparison of major humanoid robot prototypes
  • Table 8. Humanoid Robot investments 2022-2024
  • Table 9. Market News and Commercial Developments 2023-2034
  • Table 10. Humanoid robot costs
  • Table 11. Estimated costs for humanoid robots by components
  • Table 12. Estimated humanoid robot cost per unit 2023-2035
  • Table 13. Market drivers for humanoid robots
  • Table 14. Market challenges for humanoid robots
  • Table 15. Technical challenges for humanoid robots
  • Table 16. Global regulatory landscape for humanoid robots
  • Table 17. Performance Parameters of Humanoid Robots
  • Table 18. Common Actuators in Humanoid Robotics
  • Table 19. Sensors and Perception Technologies for humanoid robotics
  • Table 20. Tactile and force sensors for humanoid robots,
  • Table 21. Auditory sensors for humanoid robots
  • Table 22. Inertial Measurement Units (IMUs) for humanoid robots
  • Table 23. Key characteristics of proximity and range sensors commonly used in humanoid robots
  • Table 24. Environmental Sensors for humanoid robots
  • Table 25. Biometric sensors commonly used in humanoid robots:
  • Table 26. Battery technologies for humanoid robotics
  • Table 27. Energy Harvesting and Regenerative Systems in Humanoid Robots
  • Table 28.Power Distribution and Transmission Techniques in Humanoid Robots
  • Table 29. Thermal Management Techniques for Humanoid Robots
  • Table 30. Energy-Efficient Computing and Communication Techniques for Humanoid Robots
  • Table 31. Wireless Power Transfer and Charging for Humanoid Robots
  • Table 32. Key aspects of Cloud Robotics and Internet of Robotic Things (IoRT) for humanoid robotics
  • Table 33. Examples of Biomimetic Design for Humanoid Robots
  • Table 34. Examples of Bioinspired Design for Humanoid Robots
  • Table 35. Types of metals commonly used in humanoid robots
  • Table 36. Types of plastics and polymers commonly used in humanoid robots
  • Table 37. Types of composites commonly used in humanoid
  • Table 38. Types of elastomers commonly used in humanoid robots
  • Table 39. Types of smart materials in humanoid robotics
  • Table 40. Types of textiles commonly used in humanoid robots
  • Table 41. Types of ceramics commonly used in humanoid robots
  • Table 42. Biomaterials commonly used in humanoid robotics
  • Table 43. Types of nanomaterials used in humanoid robotics
  • Table 44. Types of coatings used in humanoid robotics
  • Table 45. Market Drivers in healthcare and assistance
  • Table 46. Applications of humanoid robots in healthcare and assistance
  • Table 47. Technology Readiness Level (TRL) Table; humanoid robots in healthcare and assistance
  • Table 48. Market Drivers in education and research
  • Table 49. Applications of humanoid robots in education and research
  • Table 50. Technology Readiness Level (TRL) for humanoid robots in education and research
  • Table 51. Market Drivers in Customer Service and Hospitality
  • Table 52. Technology Readiness Level (TRL) for humanoid robots in Customer Service and Hospitality
  • Table 53. Market Drivers in Entertainment and Leisure
  • Table 54. Applications of humanoid robots in Entertainment and Leisure
  • Table 55. Technology Readiness Level (TRL) for humanoid robots in Entertainment and Leisure
  • Table 56. Market Drivers manufacturing and industry
  • Table 57. Applications for humanoid robots in manufacturing and industry
  • Table 58. Market Drivers in Military and Defense
  • Table 59. Applications for humanoid robots in Military and Defense
  • Table 60. Technology Readiness Level (TRL) for humanoid robots in Military and Defense
  • Table 61. Market Drivers in Personal Use and Domestic Settings
  • Table 62. Applications in humanoid robots in Personal Use and Domestic Settings
  • Table 63. Technology Readiness Level (TRL) humanoid robots in Personal Use and Domestic Settings
  • Table 64. Global humanoid robot shipments (1,000 units) 2024-2035, conservative estimate
  • Table 65. Global humanoid robot shipments (Millions units) 2024-2035, optimistic estimate
  • Table 66. Global humanoid robot shipments by type (Million units) 2024-2035, conservative estimate
  • Table 67. Global humanoid robot shipments by type (Million units) 2024-2035, optimistic estimate
  • Table 68. Global humanoid robot shipments by region (Million units) 2024-2035, conservative estimate
  • Table 69. Global humanoid robot shipments by region (Million units) 2024-2035, optimistic estimate
  • Table 70. Global humanoid robot shipments (Millions USD) 2024-2035, conservative estimate
  • Table 71. Global humanoid robot shipments (Millions USD) 2024-2035, optimistic estimate
  • Table 72. Global humanoid robot shipments by end use market (Millions USD) 2024-2035, conservative estimate
  • Table 73. Global humanoid robot shipments by end use market (Millions USD) 2024-2035, optimistic estimate
  • Table 74. Humanoid Robots Developed by Academia

List of Figures

  • Figure 1. Core components of a humanoid robot
  • Figure 2. Status of humanoid robots
  • Figure 3. Humanoid robots investment funding 2020-2024
  • Figure 4. Humanoid robot for railroad maintenance to be implemented by West Japan Railway Co
  • Figure 5. Historical progression of humanoid robots
  • Figure 6. Event-based cameras
  • Figure 7. Humanoid Robots Market Supply Chain
  • Figure 8. Global humanoid robot shipments (1,000 units) 2024-2035, conservative estimate
  • Figure 9. Global humanoid robot shipments (1,000 units) 2024-2035, optimistic estimate
  • Figure 10. Global humanoid robot shipments by type (Million units) 2024-2035, conservative estimate
  • Figure 11. Global humanoid robot shipments by type (Million units) 2024-2035, optimistic estimate
  • Figure 12. Global humanoid robot shipments by region (Million units) 2024-2035, conservative estimate
  • Figure 13. Global humanoid robot shipments by region (Million units) 2024-2035, optimistic estimate
  • Figure 14. Global humanoid robot shipments (Millions USD) 2024-2035, conservative estimate
  • Figure 15. Global humanoid robot shipments (Millions USD) 2024-2035, optimistic estimate
  • Figure 16. Global humanoid robot shipments by end use market (Millions USD) 2024-2035, conservative estimate
  • Figure 17. Global humanoid robot shipments by end use market (Millions USD) 2024-2035, optimistic estimate
  • Figure 18. RAISE-A1
  • Figure 19. Digit humanoid robot
  • Figure 20. Apptronick Apollo
  • Figure 21. Alex
  • Figure 22. BR002
  • Figure 23. Atlas
  • Figure 24. XR-4
  • Figure 25. Dreame Technology's second-generation bionic robot dog and general-purpose humanoid robot
  • Figure 26. Mercury X1
  • Figure 27. Ameca
  • Figure 28. Prototype Ex-Robots humanoid robots
  • Figure 29. Figure.ai humanoid robot
  • Figure 30. Figure 02 humanoid robot
  • Figure 31. GR-1
  • Figure 32. Sophia
  • Figure 33. Honda ASIMO
  • Figure 34. Kaleido
  • Figure 35. Forerunner
  • Figure 36. Kuafu
  • Figure 37. CL-1
  • Figure 38. EVE/NEO
  • Figure 39. Tora-One
  • Figure 40. HUBO2
  • Figure 41. XBot-L
  • Figure 42. Sanctuary AI Phoenix
  • Figure 43. Pepper Humanoid Robot
  • Figure 44. Astribot S1
  • Figure 45. Tesla Optimus Gen 2
  • Figure 46. Toyota T-HR3
  • Figure 47. UBTECH Walker
  • Figure 48. G1 foldable robot
  • Figure 49. Unitree H1
  • Figure 50. WANDA
  • Figure 51. CyberOne
  • Figure 52. PX5
  • Figure 53. Q Family robots from the Institute of Automation, Chinese Academy of Sciences