ヒューマノイドロボットの世界市場（2026年～2036年）

ヒューマノイドロボット市場は、AI分野における画期的な開発とハードウェア機能の急速な向上により、投資家の熱意と技術的な勢いがかつてないほど高まっています。2024年、ロボット関連のスタートアップがシード段階から成長段階までの投資で約72億米ドルを確保しました。この投資の波は、ヒューマノイドロボットが実験的技術から実現可能な商業製品へと移行しつつあるという信頼の高まりを反映しています。

近年の資金調達の動きは、この部門の爆発的な成長の可能性を示しています。「汎用ヒューマノイドを世に送り出す」ことに専心する創業2年のスタートアップ、Figureは、2月にSeries Bで6億7,500万米ドルの資金を調達し、危険で望ましくない仕事をこなすロボットを作るというビジョンをさらに推し進めました。今年設立されたばかりのサンフランシスコのスタートアップ、Physical Intelligenceは、20億米ドルの評価額で4億米ドルの資金を調達しました。資金調達の勢いは続いており、ApptronikはGoogleを含む主要企業の後援のもと、AIを搭載したヒューマノイドロボットの生産規模を拡大するための3億5,000万米ドルのSeries A資金調達ラウンドを発表しました。その他にも、FourierがSeries E資金調達ラウンドで約8億元（約1億910万米ドル）、NEURA RoboticsがSeries B資金調達ラウンドで1億2,000万ユーロを調達するなど、2025年の重要な資金調達が行われています。

技術力が予測を上回ることから、市場予測は大幅に上方修正されました。重要な技術の進歩が市場採用を加速させています。製造コストは予測を上回るスピードで低下しています。ヒューマノイドロボットの製造コストは、昨年の1台あたり5万米ドル～25万米ドルの範囲から、現在は3万米ドル～15万米ドルの範囲に低下しており、年率15～20%との予測に対し、40%も低下しています。TeslaのOptimusプログラムは、もっとも注目されているヒューマノイドロボット開発の代表であり、ヒューマノイドロボットを量産する計画で、その野心的な成長目標は2026年までに5万台～10万台と予測しています。

AIの進歩、製造規模、緊急の労働市場ニーズが組み合わさることで、ヒューマノイドロボットは爆発的に成長し、製造、ロジスティクス、医療、そして最終的には消費者市場にまで応用されることになります。技術的な課題は残る一方、前例のない投資水準と急速な技術の進歩から、ヒューマノイドロボットは10年以内に複数の産業を変革すると考えられます。

世界の製造、医療、サービス産業で労働者不足が深刻化する中、ヒューマノイドロボットは、これまで人間の介在が必要だった危険で反復的な複雑作業を行うことができる革新的なソリューションとして台頭しています。先進のAIアルゴリズム、精巧なセンサー技術、エネルギー効率の高い電力管理システムが組み合わさることで、ヒューマノイドプラットフォームの商業的実現可能性が加速しており、この市場は今後10年間で驚異的な拡大を示す見通しです。

当レポートでは、世界のヒューマノイドロボット市場について調査分析し、市場力学、技術革新、競合情勢、戦略的機会に関する重要な知見を提供しています。

目次

第1章 イントロダクション

• ヒューマノイドロボット：定義と特徴
• 沿革と進化
• ヒューマノイドロボットの現状（2025年）
• ヒューマノイドロボットの重要性
• 市場と用途（TRL）
• 商業開発のモデルと段階
• 投資と資金調達
• コスト
• 市場促進要因
• 課題
• 世界の規制
• 日本市場
• 米国市場
• 中国市場

第2章 技術とコンポーネントの分析

• ヒューマノイドロボット設計の進歩
• 重要コンポーネント
• インテリジェント制御システムと最適化
• 先進のロボティクスとオートメーション
• 製造
• ブレインコンピューターインターフェース
• ロボティクスとインテリジェントヘルス
• マイクロ/ナノロボット
• 医療・リハビリテーションロボット
• メカトロニクスとロボティクス
• 画像処理、ロボティクス、インテリジェントビジョン
• AIと機械学習
• センサーと認識技術
• 電力・エネルギー管理
• アクチュエーター
• モーター
• 減速機
• ネジ
• ベアリング
• アームエフェクター
• ヒューマノイドロボット用SoC
• クラウドロボティクスとロボットのインターネット（IoRT）
• ヒューマンロボットインタラクション（HRI）とソーシャルロボティクス
• 生体模倣設計
• ヒューマノイドロボット用材料
• 皮膚組織の結合

第3章 最終用途市場

• 市場のサプライチェーン
• 商業化のレベル
• 医療・支援
• 教育・研究
• カスタマーサービス・ホスピタリティ
• エンターテインメント・レジャー
• 製造・工業
• 軍事・防衛
• 個人使用・家庭環境

第4章 世界の市場規模（台数と収益）（2024年～2036年）

• 世界の出荷台数（合計）
• 台数：ロボットタイプ別
• 台数：地域別
• 収益（合計）
• 収益：最終用途市場別
• 自動車
• ロジスティクス・倉庫
• バッテリー容量（GWh）の予測
• ハードウェアコンポーネント

第5章 企業プロファイル（企業80社のプロファイル）

第6章 学術界が開発したヒューマノイドロボット

第7章 調査手法

第8章 参考文献

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 2023-2025
• Table 9. Overall Sector Funding
• Table 10. Cost Breakdown by Humanoid Type
• Table 11. Cost Analysis by Component for Humanoid Robots
• Table 12. Average Unit Cost (Thousands USD)
• Table 13. Year-over-Year Cost Reduction (%)
• Table 14. Cost Breakdown by Component (% of Total Cost, 2025 vs 2035)
• Table 15. Cost Evolution Projections
• Table 16. Market drivers for humanoid robots
• Table 17. Market challenges for humanoid robots
• Table 18. Technical challenges for humanoid robots
• Table 19. Global regulatory landscape for humanoid robots
• Table 20. Performance Parameters of Humanoid Robots
• Table 21. Common Actuators in Humanoid Robotics
• Table 22. Software and Functions in Humanoid Robots
• Table 23. Sensors and Perception Technologies for humanoid robotics
• Table 24. Comparison of LiDAR, Cameras, and 1D/3D Ultrasonic Sensors
• Table 25. Categorization of LiDAR in Humanoids
• Table 26. LiDAR Costs
• Table 27. LiDAR Costs in Humanoid Robots
• Table 28. Tactile and force sensors for humanoid robots,
• Table 29. Benchmarking Tactile Sensors by Technology
• Table 30. Challenges of Tactile Sensors and Electronic Skins
• Table 31. Auditory sensors for humanoid robots
• Table 32. Inertial Measurement Units (IMUs) for humanoid robots
• Table 33. Key characteristics of proximity and range sensors commonly used in humanoid robots
• Table 34. Environmental Sensors for humanoid robots
• Table 35. Biometric sensors commonly used in humanoid robots:
• Table 36. Power and Energy Management in Humanoid Robotics.- Integrated Systems Overview
• Table 37. Energy Management Strategies for Humanoid Robots
• Table 38. Advanced Power Management Technologies
• Table 39. Battery technologies for humanoid robotics
• Table 40. Battery Capacity per Humanoid Robot for Industrial Applications
• Table 41. Humanoid Batteries - Parameters Comparison
• Table 42. Challenges of Batteries in Humanoid Robots
• Table 43. Energy Harvesting and Regenerative Systems in Humanoid Robots
• Table 44.Power Distribution and Transmission Techniques in Humanoid Robots
• Table 45. Thermal Management Techniques for Humanoid Robots
• Table 46. Energy-Efficient Computing and Communication Techniques for Humanoid Robots
• Table 47. Wireless Power Transfer and Charging for Humanoid Robots
• Table 48. Actuator Components
• Table 49. Actuator Types
• Table 50. Pros and Cons Comparison
• Table 51. Joint Application Matrix
• Table 52. Comparison of Electric, Hydraulic, and Pneumatic Actuators
• Table 53. Actuator challenges
• Table 54. Direct Drive vs. Geared Comparison
• Table 55. Motors for Commercial Humanoid Robots
• Table 56. Benefits and Drawbacks of Coreless Motors
• Table 57. Benchmarking of Reducers
• Table 58. Bearings for Humanoids
• Table 59. Actuation Methods of Humanoid's Hands
• Table 60. Technical barriers of humanoid's hands
• Table 61. Key aspects of Cloud Robotics and Internet of Robotic Things (IoRT) for humanoid robotics
• Table 62. Examples of Biomimetic Design for Humanoid Robots
• Table 63. Examples of Bioinspired Design for Humanoid Robots
• Table 64. Types of metals commonly used in humanoid robots
• Table 65. Types of plastics and polymers commonly used in humanoid robots
• Table 66. PEEK - Costs and Technical Properties
• Table 67. Types of composites commonly used in humanoid
• Table 68. Types of elastomers commonly used in humanoid robots
• Table 69. Types of smart materials in humanoid robotics
• Table 70. Types of textiles commonly used in humanoid robots
• Table 71. Types of ceramics commonly used in humanoid robots
• Table 72. Biomaterials commonly used in humanoid robotics
• Table 73. Types of nanomaterials used in humanoid robotics
• Table 74. Types of coatings used in humanoid robotics
• Table 75. Industry Segment Adoption Timeline
• Table 76. Level of commercialization of humanoid robots by application
• Table 77. Market Drivers in healthcare and assistance
• Table 78. Applications of humanoid robots in healthcare and assistance
• Table 79. Technology Readiness Level (TRL) Table; humanoid robots in healthcare and assistance
• Table 80. Market Drivers in education and research
• Table 81. Applications of humanoid robots in education and research
• Table 82. Technology Readiness Level (TRL) for humanoid robots in education and research
• Table 83. Market Drivers in Customer Service and Hospitality
• Table 84. Technology Readiness Level (TRL) for humanoid robots in Customer Service and Hospitality
• Table 85. Market Drivers in Entertainment and Leisure
• Table 86. Applications of humanoid robots in Entertainment and Leisure
• Table 87. Technology Readiness Level (TRL) for humanoid robots in Entertainment and Leisure
• Table 88. Market Drivers manufacturing and industry
• Table 89. Applications for humanoid robots in manufacturing and industry
• Table 90. Humanoid Robots in the Automotive Sector
• Table 91. Implementation of humanoids in automotive manufacturing
• Table 92. Humanoid robots in the logistics industry
• Table 93. Timeline of Tasks Handled by Humanoid Robots in Logistics
• Table 94. Market Drivers in Military and Defense
• Table 95. Applications for humanoid robots in Military and Defense
• Table 96. Technology Readiness Level (TRL) for humanoid robots in Military and Defense
• Table 97. Market Drivers in Personal Use and Domestic Settings
• Table 98. Applications in humanoid robots in Personal Use and Domestic Settings
• Table 99. Technology Readiness Level (TRL) humanoid robots in Personal Use and Domestic Settings
• Table 100. Global humanoid robot shipments (1,000 units) 2024-2036, conservative estimate
• Table 101. Global humanoid robot shipments (Millions units) 2024-2036, optimistic estimate
• Table 102. Global humanoid robot shipments by type (Million units) 2024-2036, conservative estimate
• Table 103. Global humanoid robot shipments by type (Million units) 2024-2036, optimistic estimate
• Table 104. Global humanoid robot shipments by region (Million units) 2024-2036, conservative estimate
• Table 105. Global humanoid robot shipments by region (Million units) 2024-2036, optimistic estimate
• Table 106. Global humanoid robot shipments (Millions USD) 2024-2036, conservative estimate
• Table 107. Global humanoid robot shipments (Millions USD) 2024-2036, optimistic estimate
• Table 108. Global humanoid robot shipments by end use market (Millions USD) 2024-2036, conservative estimate
• Table 109. Global humanoid robot shipments by end use market (Millions USD) 2024-2036, optimistic estimate
• Table 110. Global Market Revenues for Humanoid Robots in the Automotive Industry: 2025-2036
• Table 111. Global market forecast of humanoid robots in the Automotive industry: 2025-2036
• Table 112.Deployment Distribution by 2035 (Conservative Estimate)
• Table 113. Deployment Distribution by 2035 (Optimistic Estimate)
• Table 114. Market Size Forecast of Humanoid Robots in the Logistics and Warehousing Industry: 2025-2036, Conservative Estimate
• Table 115. Market Size Forecast of Humanoid Robots in the Logistics and Warehousing Industry: 2025-2036, Optimistic Estimate
• Table 116. Global Volume Forecast of Humanoid Robots in the Logistics and Warehousing Industry: 2025-2036, Conservative Estimate
• Table 117. Global Volume Forecast of Humanoid Robots in the Logistics and Warehousing Industry: 2025-2036, Conservative Estimate, Optimistic Estimate
• Table 118. Market Value Distribution by Application Area (2036, Conservative)
• Table 119. Market Value Distribution by Application Area (2036, Optimistic)
• Table 120. Battery Capacity (GWh) Forecast for Humanoid Robots Used for Industries 2025-2036
• Table 121. Battery Capacity by Industry Segment (GWh, 2036)
• Table 122. Average Battery Capacity per Humanoid Robot (kWh)
• Table 123. Average Battery Capacity per Humanoid Robot by Application (2036)
• Table 124. Humanoid Robot Hardware Component Volume Forecast, 2025-2036
• Table 125. Humanoid Robot Hardware Component Market Size Forecast: 2025-2036, Conservative Estimate (Millions USD)
• Table 126. Humanoid Robot Hardware Component Market Size Forecast: 2025-2036, Optimistic Estimate (Millions USD)
• Table 127. Component Market Share (Conservative Estimate)
• Table 128. Component Market Share (Optimistic Estimate)
• Table 129. Average Component Cost per Robot (Thousands USD)
• Table 130. 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 robot for railroad maintenance to be implemented by West Japan Railway Co
• Figure 4. Historical progression of humanoid robots
• Figure 5. Event-based cameras
• Figure 6. Humanoid Robots Market Supply Chain
• Figure 7. Global humanoid robot shipments (1,000 units) 2024-2036, conservative estimate
• Figure 8. Global humanoid robot shipments (1,000 units) 2024-2036, optimistic estimate
• Figure 9. Global humanoid robot shipments by type (Million units) 2024-2036, conservative estimate
• Figure 10. Global humanoid robot shipments by type (Million units) 2024-2036, optimistic estimate
• Figure 11. Global humanoid robot shipments by region (Million units) 2024-2036, conservative estimate
• Figure 12. Global humanoid robot shipments by region (Million units) 2024-2036, optimistic estimate
• Figure 13. Global humanoid robot shipments (Millions USD) 2024-2036, conservative estimate
• Figure 14. Global humanoid robot shipments (Millions USD) 2024-2036, optimistic estimate
• Figure 15. Global humanoid robot shipments by end use market (Millions USD) 2024-2036, conservative estimate
• Figure 16. Global humanoid robot shipments by end use market (Millions USD) 2024-2036, optimistic estimate
• Figure 17. NEO
• Figure 18. Alice: A bipedal walking humanoid robot from AeiRobot
• Figure 19. RAISE-A1
• Figure 20. Digit humanoid robot
• Figure 21. Apptronick Apollo
• Figure 22. Alex
• Figure 23. BR002
• Figure 24. Atlas
• Figure 25. XR-4
• Figure 26. Dreame Technology's second-generation bionic robot dog and general-purpose humanoid robot
• Figure 27. Mercury X1
• Figure 28. Mirokai robots
• Figure 29. Ameca
• Figure 30. Prototype Ex-Robots humanoid robots
• Figure 31. Figure.ai humanoid robot
• Figure 32. Figure 02 humanoid robot
• Figure 33. GR-1
• Figure 34. Sophia
• Figure 35. Honda ASIMO
• Figure 36. Kaleido
• Figure 37. Forerunner
• Figure 38. Kuafu
• Figure 39. CL-1
• Figure 40. MagicHand S01
• Figure 41. EVE/NEO
• Figure 42. Tora-One
• Figure 43. HUBO2
• Figure 44. XBot-L
• Figure 45. Sanctuary AI Phoenix
• Figure 46. Pepper Humanoid Robot
• Figure 47. Astribot S1
• Figure 48. Tesla Optimus Gen 2
• Figure 49. Toyota T-HR3
• Figure 50. UBTECH Walker
• Figure 51. G1 foldable robot
• Figure 52. Unitree H1
• Figure 53. WANDA
• Figure 54. CyberOne
• Figure 55. PX5
• Figure 56. Q Family robots from the Institute of Automation, Chinese Academy of Sciences

The humanoid robots market is experiencing unprecedented investor enthusiasm and technological momentum, driven by breakthrough developments in artificial intelligence and rapidly improving hardware capabilities. Altogether, robotics-related startups secured around $7.2 billion in seed- through growth-stage investments in 2024. This investment wave reflects growing confidence that humanoid robots are transitioning from experimental technology to viable commercial products.

Recent funding activity demonstrates the sector's explosive growth potential. Figure, a 2-year-old startup dedicated to "bringing a general purpose humanoid to life," pulled in $675 million in Series B funding in February to further its vision of building robots to perform unsafe and undesirable jobs. Physical Intelligence, the San Francisco start-up, founded just this year, pulled in $400 million at a $2 billion valuation. The funding momentum continues with Apptronik announcing a $350 million Series A funding round to scale the production of artificial intelligence-powered humanoid robots, backed by major players including Google. Other significant 2025 funding includes Fourier's Series E funding round securing nearly Yen-800 million (about $109.1 million) and NEURA Robotics raising Euro-120 million in a Series B funding round.

Market forecasts have been dramatically revised upward as technology capabilities exceed expectations. Critical technological advances are accelerating market adoption. Manufacturing costs are declining faster than expected: The manufacturing cost of humanoid robots has dropped from a range between $50,000 and $250,000 per unit last year, to a range of between $30,000 and $150,000 now, with costs declining 40% rather than the expected 15-20% per annum. Tesla's Optimus program represents the highest-profile humanoid robot development, with plans to mass produce its humanoid robot, with ambitious growth targets predicting between 50,000 and 100,000 units by 2026.

The convergence of AI advancement, manufacturing scale, and urgent labor market needs positions humanoid robots for explosive growth, with applications spanning manufacturing, logistics, healthcare, and eventually consumer markets. While technical challenges remain, the unprecedented investment levels and rapid technological progress suggest humanoid robots are poised to transform multiple industries within the current decade.

The global humanoid robotics market stands at the precipice of explosive growth, driven by unprecedented advancements in artificial intelligence, machine learning capabilities, and breakthrough developments in robotic hardware systems. "The Global Humanoid Robotics Market 2026-2036" provides an exhaustive analysis of the humanoid robotics industry, delivering critical insights into market dynamics, technological innovations, competitive landscapes, and strategic opportunities spanning the forecast period from 2026 to 2036. As labour shortages intensify across manufacturing, healthcare, and service industries worldwide, humanoid robots emerge as transformative solutions capable of performing dangerous, repetitive, and complex tasks previously requiring human intervention. The convergence of advanced AI algorithms, sophisticated sensor technologies, and energy-efficient power management systems has accelerated the commercial viability of humanoid platforms, positioning this market for extraordinary expansion over the next decade.

This authoritative report examines the complete humanoid robotics ecosystem, from foundational component technologies including actuators, sensors, power systems, and intelligent control mechanisms to end-use applications across healthcare assistance, education research, customer service, entertainment, manufacturing automation, logistics operations, military defence, and domestic personal use. The analysis encompasses detailed technology readiness level assessments, market driver evaluations, commercial development timelines, and comprehensive cost evolution projections that illuminate the pathway toward mainstream adoption.

Report Contents:

• Market Size and Growth Projections: Conservative and optimistic revenue forecasts through 2036, with detailed unit shipment analysis by robot type (bipedal vs. wheeled platforms) and regional market distribution across Asia-Pacific, North America, Europe, and emerging markets
• Technology Analysis: Comprehensive examination of critical components including advanced actuator systems, reducer technologies, sensor fusion capabilities, AI hardware/software integration, power management solutions, thermal control systems, and biomimetic design principles
• Component Cost Evolution: Detailed breakdown of hardware component costs including actuators, sensors, processing units, battery systems, structural materials, and end effectors, with year-over-year cost reduction projections and manufacturing scale impact analysis
• End-Use Market Assessment: Granular analysis of application segments including healthcare robotics, educational platforms, hospitality automation, entertainment systems, industrial manufacturing, automotive assembly, logistics warehousing, military applications, and domestic assistance robots
• Investment and Funding Landscape: Comprehensive overview of venture capital investments, funding rounds, strategic partnerships, and government initiatives driving market development across major geographic regions
• Regulatory Framework Analysis: Global regulatory landscape examination covering safety standards, certification requirements, liability frameworks, and policy developments influencing commercial deployment timelines
• Competitive Intelligence: Detailed market positioning analysis, technology benchmarking, commercial development status, and strategic initiatives of leading humanoid robotics companies
• Manufacturing Challenges: In-depth assessment of production bottlenecks, supply chain constraints, quality assurance requirements, and scalability obstacles facing mass commercialization
• Advanced Technologies: Cutting-edge developments in brain-computer interfaces, cloud robotics integration, human-robot interaction protocols, biomimetic materials, wireless power transfer, energy harvesting systems, and next-generation sensor technologies
• Academic Research Overview: Comprehensive survey of university-based humanoid robot development programs and emerging research directions influencing commercial applications

The report features comprehensive profiles of 80 leading humanoid robotics companies including 1X Technologies, AeiRobot, Aeolus Robotics, Agibot, Agility Robotics, Andromeda, Apptronik, Axibo, Baidu, Beyond Imagination, Boardwalk Robotics, Booster Robotics, Boston Dynamics, BridgeDP Robotics, BXI Robotics, Clone Robotics, Dataa Robotics, Devanthro, Diligent Robotics, Dreame Technology, Electron Robots, Elephant Robotics, Embodied Inc., Enchanted Tools, Engineered Arts, EX Robots, FDROBOT, Figure AI, Foundation, Fourier Intelligence, Furhat Robotics, Galbot, Generation Robots, Hanson Robotics, Holiday Robotics, Honda, Humanoid, Kawada Robotics, Kawasaki Heavy Industries, Keenon Robotics, Kepler, K-Scale Labs, Leju Robotics, LimX Dynamics, Macco Robotics, MagicLab, Mentee Robotics, and more, providing detailed analysis of their technology platforms, commercial strategies, funding status, and market positioning within the rapidly evolving humanoid robotics landscape.

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) 2024-2036

• 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 (80 company profiles)

6. HUMANOID ROBOTS DEVELOPED BY ACADEMIA

7. RESEARCH METHODOLOGY

8. REFERENCES