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The Global Advanced Robotics Market 2025-2045

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  • Published: March 205
  • Pages: 810
  • Tables: 147
  • Figures: 118

 

The global market for advanced robotics has entered a transformative phase, characterized by unprecedented technological innovation, expanding applications across industries, and massive capital infusions. Adoption is accelerating across manufacturing, healthcare, logistics, agriculture, and consumer sectors. The industrial robotics segment continues to dominate the market, particularly in manufacturing where automotive and electronics industries remain the largest adopters. However, the most significant growth is occurring in collaborative robots (cobots) and autonomous mobile robots (AMRs), which are increasingly deployed in warehouses, hospitals, and retail environments. China, Japan, South Korea, the United States, and Germany represent the largest markets, collectively accounting for over 70% of global installations.

The most telling indicator of robotics' future prospects is the dramatic surge in venture capital investment. Investments in robotic projects (including autonomous vehicles) raised a total of more than $7 billion in October 2024 alone, and there have been several major investments in 2025.  This investment surge extends across the robotics value chain, from core hardware innovations to enabling technologies like computer vision, tactile sensing, and AI-driven control systems. Particularly noteworthy is the concentration of mega-rounds in emerging categories like humanoid robots, agricultural automation, and surgical robotics. Defense spending on autonomous systems and AI-powered robotics is rising, with governments investing in drone technology and robotic combat vehicles. This capital influx is enabling longer runways for technology development and commercialization in fields that previously struggled to attract institutional investment due to long development timelines.

The future trajectory of advanced robotics will be shaped by several converging factors. First, the integration of artificial intelligence—particularly large language models and computer vision systems—is dramatically enhancing robots' ability to understand complex environments, learn from experience, and execute sophisticated tasks. This capability expansion is opening entirely new application domains previously deemed too complex for automation. Second, the ongoing global labor shortage, particularly acute in developed economies with aging populations, creates structural demand for robotics solutions. Japan's shrinking workforce and Europe's manufacturing challenges exemplify this dynamic, which shows no signs of abating.

Regulatory frameworks are gradually adapting to accommodate autonomous systems, with standards bodies and government agencies developing certification processes that will accelerate safe deployment in public spaces and sensitive environments. As technical barriers fall and integration complexity diminishes, robotics adoption will accelerate across previously underserved sectors, transforming global productivity and creating new economic paradigms. The long-promised robotics revolution appears to have finally arrived, backed by unprecedented capital investment and technological capability.

The Global Advanced Robotics Market 2025-2045 is a landmark 800+ page report that delivers an exhaustive assessment of the rapidly evolving global advanced robotics market, providing unprecedented depth of data, analysis, and strategic insight covering the critical 20-year period from 2025 to 2045. Drawing upon extensive primary research and proprietary forecasting methodologies, the report offers granular market sizing, technology analysis, and investment intelligence, making it an essential resource for investors, manufacturers, suppliers, and end-users navigating the robotics revolution. 

Report contents include: 

  • Comprehensive Market Sizing and Forecasts: Detailed unit sales and revenue projections from 2025-2045, segmented by robot type, technology, component, and end-use industry, with both conservative and optimistic scenarios
  • Deep Technology Analysis: Thorough evaluation of AI integration, computer vision advancements, sensor fusion innovations, advanced materials development, and emerging technologies shaping the future of robotics
  • Regional Market Analysis: Comprehensive breakdown of market dynamics, growth rates, and competitive positioning across North America, Europe, Asia-Pacific (with special focus on Japan and China), Latin America, and Middle East & Africa
  • Competitive Landscape: Detailed profiles of 260+ companies spanning the entire robotics value chain, from established industrial robot manufacturers to emerging start-ups. Companies profiled include 1X Technologies, 4AF Robotics, ABB, Advanced Farm Technologies, Aeroptic, Aerobot, Aescape, Agerpoint, Agersens, Agibot, Agility Robotics, AgroBot, Agtonomy, AheadForm, Aigen, AIDIN Robotics, AIRSKIN, Allflex, AMD Xilinx, Anybotic, Apptronik, Arable Labs, Audite Robotics, Aubo Robotics, Aurora, Automated Ag, Automated Architecture, Baidu, Barnstorm Agtec, Bear Robotics, BeeWise Technologies, Bio Bee, Biofeed, BionicM, Blue River Technology, Blue White Robotics, Boardwalk Robotics, Bonsai Robotics, Booster Robotics, Boston Dynamics, BoviSync, BovControl, BridgeDP Robotics, Bright Machines, Bruker Alicona, Burro, BXI Robotics, Cainthus, Capstan Medical, Carbon Bee, Carbon Robotics, Cattle Care, ClearPath Robotics, Clearview Imaging, Clone Robotics, Cloudfarms, CNH Industrial, Cobionix, Collaborative Robotics, Connecterra, Cornerstone Robotics, CowAlert, Cowlar, Cow Manager, Crover, CynLr, Dataa Robotics, DeepWay, DeLaval, Delta, Denso, Devanthro, Dexterity, Digital Harvest, Diligent Robotics, Dobot Robotics, Dogtooth Technologies, Doosan Robotics, Dreame Technology, Dynium Robot, EarthOptics, EarthSense, Ecovacs, eCoRobotix, eCow, Einride, EIO Diagnostics, Electron Robots, Elephant Robotics, Elite Robots, Embark, Embodied, Enchanted Tools, Engineered Arts, ENGINEAI, Eureka Robotics, EX Robots, F&P Personal Robotics, Fanuc, Farm-ng, Faromatics, FDROBOT, FeedFlo, FeedLogic, FESTO, FFRobotics, Figure AI, Fourier Intelligence, Four Growers, Franka Emika, Galbot, Generation Robots, Genrobotics, GRIMME, GrayMatter Robotics, Guardian Agriculture, Halter, Hanson Robotics, Harvest Croo, Herddog, Herdsy, Honda, Horizon Surgical Systems, IceRobotics, Inceptio, Inivation, InterPuls, Interlink Electronics, Kassow Robots, Kawasaki Heavy Industries, Keenon Robotics, Kepler, Kodiak Robotics, Koidra, K-Scale Labs, Kubota, KUKA, Lattice Medical, Leju Robotics, Lely, LimX Dynamics, LuxAI, Macco Robotics, MagicLab, Magnendo, MastiLine, Mendaera, Mentee Robotics, Metabolic Robotics, Milk Moovement, Mimic, Mineral, miRobot, Mirror Me, Molg, Monarch, MooCall, Moonsyst, Mov.ai, MUKS Robotics, NACHI, Naïo Technologies, NAVIGANTIS, Neura Robotics GmbH, Nofence, Nomagic, NVIDIA, Octinion, Oinride Oy and more.....
  • End-Use Industry Analysis: In-depth examination of robotics applications, market drivers, restraints, and growth projections across 11 key sectors including manufacturing, healthcare, logistics, agriculture, and consumer markets
  • Technology Readiness Assessment: Critical evaluation of technology maturity levels across different robotics categories, with roadmaps highlighting commercialization timelines
  • Strategic Insights: Analysis of emerging business models, industry convergence opportunities, regulatory developments, and future market evolution scenarios
  • Market Analysis and Forecasting:
    • Proprietary forecasting methodology incorporating S-curve adoption patterns and industry-specific growth drivers
    • Historical market analysis (2019-2024) providing crucial context for future projections
    • Detailed market segmentation by robot type (industrial, collaborative, service, humanoid, mobile) with unit and revenue forecasts
    • Pricing analysis and cost structure breakdowns for each robot category
    • Comprehensive value chain analysis covering raw materials, manufacturing, software, integration, and distribution
  • Technology Landscape:
    • Detailed assessment of key enabling technologies including AI/ML, computer vision, sensor fusion, and advanced materials
    • Analysis of technology readiness levels (TRLs) by application sector
    • In-depth examination of collaborative robot (cobot) technologies, safety requirements, and commercialization status
    • Comprehensive coverage of autonomous mobile robots (AMRs), articulated robots, and emerging humanoid industrial platforms
    • Detailed analysis of agricultural robotics, healthcare systems, defense applications, and construction platforms
  • Investment Intelligence:
    • Complete tracking of all major funding rounds in robotics from 2022-2025, with detailed analysis of investment size, investor profiles, and valuation trends
    • Venture capital funding patterns across different robotics categories and geographies
    • Strategic corporate investment analysis, identifying key partnerships and acquisition targets
    • ROI analysis and payback period calculations across different robotics applications
    • Investment opportunity assessment highlighting high-growth market segments
  • End-Use Industry Applications:
    • Manufacturing sector analysis including automotive, electronics, food & beverage, and pharmaceutical
    • Healthcare applications spanning surgical robotics, rehabilitation, hospital logistics, and care robots
    • Logistics and warehousing automation trends including material transport, order picking, and last-mile delivery
    • Agricultural robotics covering harvesting, seeding, crop monitoring, and dairy farming
    • Construction robotics applications including 3D printing, demolition, and masonry
    • Retail, entertainment, defense, energy, and consumer applications
  • Regulatory and Strategic Analysis:
    • Comprehensive review of safety standards and regulations by region
    • Analysis of key market drivers and restraints shaping industry growth
    • Emerging trends including swarm robotics, human-robot collaboration, and cloud robotics
    • Technology roadmap (2025-2045) with short, medium, and long-term development projections
    • Future implications for workforce transformation and human-robot collaboration models

 

This unparalleled analysis covers the entire robotics value chain from component suppliers to full-system integrators, providing competitive positioning, product strategies, technological capabilities, and market focus for each player, enabling readers to comprehensively understand the complex competitive landscape and identify strategic opportunities for partnership, investment, or market entry. The report's exhaustive company coverage reflects the diverse and rapidly evolving robotics ecosystem, capturing both established industrial robotics giants with decades of market presence and cutting-edge startups pioneering new applications across humanoid robotics, agricultural automation, collaborative systems, and autonomous mobility, providing a definitive resource for understanding the companies driving robotics innovation through 2045.

 

 

 

1             EXECUTIVE SUMMARY            41

  • 1.1        Market Overview and Size      41
  • 1.2        Robot Categorization                42
  • 1.3        Global Market Forecast           44
    • 1.3.1    Units    44
    • 1.3.2    Revenues          47
  • 1.4        Key Drivers and Restraints    51
  • 1.5        Technology Trends      53
    • 1.5.1    Humanoid Robots      54
    • 1.5.2    Collaborative Robots (Cobots)          59
    • 1.5.3    Physical, Analytic and Generative AI              60
    • 1.5.4    Robotics Evolution Timeline 61
    • 1.5.5    Sustainability and Energy Consumption     63
    • 1.5.6    Addressing Labour Shortages             64
    • 1.5.7    Key Emerging Transitions in Sensing Technologies                64
  • 1.6        Industry Convergence              67
    • 1.6.1    Mobile Robots vs. Fixed Automation              67
    • 1.6.2    Robot-as-a-Service (RaaS) Business Models           68
    • 1.6.3    Industry 5.0 - Transformative Vision               69
    • 1.6.4    Collaborative Robots Driving Industry 5.0  70
    • 1.6.5    Parameter Comparison - Payload vs. Speed             70
  • 1.7        Market map    71
  • 1.8        Regional Market Analysis      73
    • 1.8.1    Regional Distribution of Robot Manufacturers        73
    • 1.8.2    Growth Rates by Region         75
    • 1.8.3    Overview of Regional Players               76
      • 1.8.3.1 North America              76
      • 1.8.3.2 Europe                77
      • 1.8.3.3 Japan  78
      • 1.8.3.4 China  79
      • 1.8.3.5 India    80
  • 1.9        Competitive Landscape         82
    • 1.9.1    Global Competitive Landscape         82
    • 1.9.2    Leading Companies by Robot Type 83
    • 1.9.3    Major Industrial Robot Manufacturers          84
    • 1.9.4    Service Robot Specialists      86
    • 1.9.5    Emerging Technology Startups           87
    • 1.9.6    Cobot Manufacturers               87
    • 1.9.7    AI Robotics Companies          88
    • 1.9.8    Sensor and Component Developers               89
    • 1.9.9    Component and Subsystem Suppliers         90
    • 1.9.10 Sensor Manufacturers             91
    • 1.9.11 End-Effector Suppliers            92
    • 1.9.12 Humanoid Robot Developers              93
  • 1.10     Investment Trends      96
    • 1.10.1 Historic Funding Trends          96
    • 1.10.2 Recent investment     97
    • 1.10.3 Venture Capital Funding of Robotics Startups         100

 

2             INTRODUCTION TO ADVANCED ROBOTICS             102

  • 2.1        Defining Advanced Robotics               102
    • 2.1.1    Definitions of Key Terms         102
    • 2.1.2    Classification of Robot Types              103
    • 2.1.3    What are Robots?       104
      • 2.1.3.1 Industrial Robots        105
      • 2.1.3.2 Service Robots             106
      • 2.1.3.3 Collaborative Robots                107
      • 2.1.3.4 Mobile Robots               108
      • 2.1.3.5 Humanoid Robots      110
    • 2.1.4    Why Robots?  111
      • 2.1.4.1 Productivity Enhancement   112
      • 2.1.4.2 Labor Shortage Solutions      113
      • 2.1.4.3 Safety Improvements               114
      • 2.1.4.4 Quality and Precision Requirements              115
  • 2.2        Evolution from Traditional to Advanced Robotics  116
    • 2.2.1    Historical Overview and Evolution   116
    • 2.2.2    Current State of Robotics in 2025    117
    • 2.2.3    Three Phases of Robot Adoption       118
    • 2.2.4    Traditional Industrial Robots vs. Collaborative Robots      120
    • 2.2.5    Evolution from Industrial to Service Robots              121
  • 2.3        Key Enabling Technologies    122
    • 2.3.1    Artificial Intelligence and Machine Learning             123
      • 2.3.1.1 What is Artificial Intelligence?             123
      • 2.3.1.2 Deep Learning Approaches  125
      • 2.3.1.3 Convolutional Neural Networks in Robotics             126
    • 2.3.2    Computer Vision         127
      • 2.3.2.1 Image Recognition Technologies      127
      • 2.3.2.2 Object Detection and Tracking          129
      • 2.3.2.3 Scene Understanding              129
    • 2.3.3    Sensor Fusion               130
      • 2.3.3.1 Multi-sensor Integration         131
      • 2.3.3.2 Data Processing for Sensor Fusion  132
    • 2.3.4    Advanced Materials   133
      • 2.3.4.1 Metals 134
      • 2.3.4.2 Plastics and Polymers              135
      • 2.3.4.3 Composites    137
      • 2.3.4.4 Elastomers      138
      • 2.3.4.5 Smart Materials            139
      • 2.3.4.6 Textiles               141
      • 2.3.4.7 Ceramics          142
      • 2.3.4.8 Biomaterials   143
      • 2.3.4.9 Nanomaterials              146
      • 2.3.4.10            Coatings            148
      • 2.3.4.11            Flexible and Soft Materials    152
    • 2.3.5    Edge Computing          153
      • 2.3.5.1 Local Processing vs. Cloud Computing        154
      • 2.3.5.2 Real-time Decision Making  155
    • 2.3.6    SLAM - Simultaneous Localization and Mapping   156
      • 2.3.6.1 Visual SLAM (vSLAM)                158
      • 2.3.6.2 Hybrid SLAM Approaches     159
    • 2.3.7    Typical Sensors for Object Detection             160
      • 2.3.7.1 Camera-based Detection      161
      • 2.3.7.2 LiDAR-based Detection           163
      • 2.3.7.3 Radar Systems              164
      • 2.3.7.4 Ultrasonic Sensors     165
      • 2.3.7.5 Infrared and Thermal Sensors             166
  • 2.4        Technology Readiness Assessment               168
    • 2.4.1    Technology Readiness Levels (TRL) 168
    • 2.4.2    Roadmap and Maturity Analysis by Industry             169
    • 2.4.3    Technology Maturity Status Definitions        171
    • 2.4.4    Readiness Level of Technologies by Application Sector     172
  • 2.5        Standards and Regulations  173
    • 2.5.1    Safety Requirements - Five Main Types         174
      • 2.5.1.1 Speed and Separation Monitoring   175
      • 2.5.1.2 Hand Guiding 177
      • 2.5.1.3 Safety Monitored Stop             178
      • 2.5.1.4 Soft Impact Design    179
    • 2.5.2    Regional Safety Standards   179
      • 2.5.2.1 North American Standards   180
      • 2.5.2.2 European Standards 181
      • 2.5.2.3 Asian Standards          183
    • 2.5.3    Global Regulatory Landscape            184
      • 2.5.3.1 Authorities Regulating Autonomous Driving              185
      • 2.5.3.2 Regulations for Delivery Robots and Drones             186
      • 2.5.3.3 Industrial Robot Regulations               187
      • 2.5.3.4 Data Privacy and Security Regulations         188
      • 2.5.3.5 Regional Differences in Regulations               189
      • 2.5.3.6 Data Security Requirements                191

 

3             GLOBAL MARKET ANALYSIS  193

  • 3.1        Market Size and Growth Forecast (2025-2035)       193
    • 3.1.1    Methodology and Assumptions for Forecasts          194
      • 3.1.1.1 S-curve Illustration     194
      • 3.1.1.2 Conservative vs. Optimistic Estimates         195
    • 3.1.2    Historical Market Data (2019-2024)               196
      • 3.1.2.1 Historic Cobot Market Size   196
      • 3.1.2.2 Historic Service Robot Market Size  198
      • 3.1.2.3 Historic Mobile Robot Market Size   200
  • 3.2        Market Segmentation               202
    • 3.2.1    By Robot Type                202
      • 3.2.1.1 Industrial Robots        202
      • 3.2.1.2 Collaborative Robots (Cobots)          203
      • 3.2.1.3 Service Robots             205
      • 3.2.1.4 Humanoid Robots      209
      • 3.2.1.5 Mobile Robots               212
    • 3.2.2    By Technology                218
      • 3.2.2.1 Navigation and Mapping        218
      • 3.2.2.2 Object Recognition and Tracking      219
      • 3.2.2.3 End-Effector and Manipulation         220
      • 3.2.2.4 Human-Robot Interaction     221
      • 3.2.2.5 Artificial Intelligence 222
    • 3.2.3    By Component              223
      • 3.2.3.1 Hardware          224
      • 3.2.3.2 Software            227
      • 3.2.3.3 Services             228
    • 3.2.4    By End-use Industry  229
      • 3.2.4.1 Manufacturing              229
      • 3.2.4.2 Healthcare       230
      • 3.2.4.3 Logistics and Warehousing  231
      • 3.2.4.4 Agriculture       233
      • 3.2.4.5 Construction  234
      • 3.2.4.6 Retail and Hospitality               235
      • 3.2.4.7 Military and Defense 237
      • 3.2.4.8 Energy and Utilities    238
      • 3.2.4.9 Education and Research        239
      • 3.2.4.10            Consumer and Domestic      240
      • 3.2.4.11            Entertainment and Leisure   242
  • 3.3        Regional Market Analysis      244
    • 3.3.1    North America              244
      • 3.3.1.1 Units    244
      • 3.3.1.2 Revenues          245
    • 3.3.2    Europe                246
      • 3.3.2.1 Units    246
      • 3.3.2.2 Revenues          247
    • 3.3.3    Asia-Pacific    248
      • 3.3.3.1 Units    249
      • 3.3.3.2 Revenues          249
      • 3.3.3.3 Japan  250
      • 3.3.3.4 China  251
  • 3.4        Pricing Analysis and Cost Structure                253
    • 3.4.1    Cost Analysis by Robot Type                253
      • 3.4.1.1 Industrial Robot Costs             253
      • 3.4.1.2 Collaborative Robot Costs    254
      • 3.4.1.3 Service Robot Costs 255
      • 3.4.1.4 Humanoid Robot Costs          256
      • 3.4.1.5 Mobile Robot Costs   257
    • 3.4.2    Cost Analysis by Component              258
      • 3.4.2.1 Sensor Costs 258
      • 3.4.2.2 Actuator and Power System Costs  259
      • 3.4.2.3 Computing and Control System Costs         260
      • 3.4.2.4 End-Effector Costs    261
    • 3.4.3    Payback Time/ROI by Application    262
      • 3.4.3.1 Manufacturing ROI     263
      • 3.4.3.2 Logistics ROI  263
      • 3.4.3.3 Healthcare ROI             264
      • 3.4.3.4 Agricultural ROI            265
    • 3.4.4    Parameter Comparison - Payload vs. Max Traveling Speed              266
      • 3.4.4.1 Industrial Robots Performance Metrics        267
      • 3.4.4.2 Mobile Robots Performance Metrics              268
      • 3.4.4.3 Collaborative Robots Performance Metrics               269
  • 3.5        Value Chain Analysis 270
    • 3.5.1    Overview of the Value Chain                270
      • 3.5.1.1 Raw Materials and Components      270
      • 3.5.1.2 Robot Manufacturers               271
      • 3.5.1.3 Software Developers 273
      • 3.5.1.4 System Integrators     274
      • 3.5.1.5 Distributors     275
      • 3.5.1.6 End-users         276
    • 3.5.2    Market Supply Chain 277
      • 3.5.2.1 Key Component Suppliers    278
      • 3.5.2.2 OEMs and Manufacturers     279
      • 3.5.2.3 Distribution Channels              280
    • 3.5.3    Supply Chain Analysis of Mobile Robots     281
      • 3.5.3.1 Sensor and Component Supply         281
      • 3.5.3.2 Software and Integration        283
      • 3.5.3.3 Distribution and Support        285

 

4             TECHNOLOGY LANDSCAPE 287

  • 4.1        Industrial Robotics    287
    • 4.1.1    Collaborative Robots (Cobots)          287
      • 4.1.1.1 Six Stages of Human-Robot Interaction (HRI)           287
      • 4.1.1.2 Traditional Industrial Robots vs. Collaborative Robots      292
      • 4.1.1.3 Benefits and Drawbacks of Cobots 294
      • 4.1.1.4 Safety Requirements for Cobots       294
      • 4.1.1.5 Cobot Cost Analysis 298
      • 4.1.1.6 Payload Summary of Cobots               299
      • 4.1.1.7 Overview of Commercialized Cobots            299
    • 4.1.2    Autonomous Mobile Robots (AMRs)              304
      • 4.1.2.1 Transition from AGVs to AMRs            305
      • 4.1.2.2 Technology Evolution Towards Fully Autonomous Mobile Robots              306
      • 4.1.2.3 AMR Navigation Technologies             307
    • 4.1.3    Articulated Robots     308
      • 4.1.3.1 Types and Applications           308
      • 4.1.3.2 Key Technologies         309
    • 4.1.4    Humanoid Industrial Robots               310
      • 4.1.4.1 Applications in Manufacturing           310
      • 4.1.4.2 Design Considerations            311
  • 4.2        Service Robotics         313
    • 4.2.1    Professional Service Robots                313
      • 4.2.1.1 Market Position of Service Robotics               314
      • 4.2.1.2 Categories and Applications               314
      • 4.2.1.3 Key Technologies         315
    • 4.2.2    Personal/Domestic Service Robots 316
      • 4.2.2.1 Market Overview          317
      • 4.2.2.2 Types and Applications           317
      • 4.2.2.3 Consumer Adoption Trends 318
    • 4.2.3    Entertainment Robots             320
    • 4.2.3.1 Market Overview          320
    • 4.2.3.2 Types and Applications           321
    • 4.2.3.3 Technology Features 322
  • 4.3        Healthcare and Medical Robotics   323
    • 4.3.1    Surgical Robots            323
      • 4.3.1.1 Market Overview          323
      • 4.3.1.2 Key Technologies         324
      • 4.3.1.3 Companies     325
      • 4.3.1.4 Regulatory Considerations   326
    • 4.3.2    Rehabilitation Robots              327
      • 4.3.2.1 Types and Applications           327
      • 4.3.2.2 Market Drivers               329
    • 4.3.3    Hospital Logistics Robots     330
      • 4.3.3.1 Applications   331
      • 4.3.3.2 Market Drivers               332
    • 4.3.4    Care Robots   333
      • 4.3.4.1 Eldercare Applications            333
      • 4.3.4.2 Market Challenges     334
    • 4.3.5    Robotic Surgery and Minimally Invasive Procedures            336
      • 4.3.5.1 Key Technologies         336
      • 4.3.5.2 Market Trends                337
    • 4.3.6    Intelligent Health Monitoring and Diagnostics        338
      • 4.3.6.1 Technologies  338
      • 4.3.6.2 Applications   340
    • 4.3.7    Telemedicine and Remote Health Management    341
      • 4.3.7.1 Technologies  341
      • 4.3.7.2 Applications   342
    • 4.3.8    Robotics in Mental Health     343
      • 4.3.8.1 Applications   343
      • 4.3.8.2 Market Potential          344
  • 4.4        Military and Defense Robotics           345
    • 4.4.1    Unmanned Ground Vehicles (UGVs)              345
      • 4.4.1.1 Applications   345
      • 4.4.1.2 Technologies  346
    • 4.4.2    Unmanned Aerial Vehicles (UAVs)   347
      • 4.4.2.1 Applications   347
      • 4.4.2.2 Technologies  348
    • 4.4.3    Unmanned Underwater Vehicles (UUVs)    349
      • 4.4.3.1 Applications   349
      • 4.4.3.2 Technologies  350
  • 4.5        Agricultural Robotics                351
    • 4.5.1    Challenges Facing 21st Century Agriculture             353
      • 4.5.1.1 Productivity and Labor Issues            353
      • 4.5.1.2 Labor Shortages and Rising Costs   354
      • 4.5.1.3 Agrochemical Challenges     355
      • 4.5.1.4 Environmental Considerations          355
    • 4.5.2    Agricultural Robot Applications        357
      • 4.5.2.1 Current Uses  357
      • 4.5.2.2 Potential Uses               358
      • 4.5.2.3 Technology Readiness by Application Area                359
    • 4.5.3    Harvesting Robots      360
      • 4.5.3.1 Fresh Fruit Picking Robots    360
      • 4.5.3.2 Vegetable Harvesting Robots              364
    • 4.5.4    Seeding and Planting Robots              367
      • 4.5.4.1 Technologies  368
      • 4.5.4.2 Precision Seeding Applications         370
      • 4.5.4.3 Variable Rate Technology       371
    • 4.5.5    Crop Monitoring Robots         372
      • 4.5.5.1 Soil Analysis   373
      • 4.5.5.2 Plant Health Monitoring          374
    • 4.5.6    Weed and Pest Control Robotics      375
      • 4.5.6.1 Commercial Weeding Robots             376
      • 4.5.6.2 "Green-on-Green" vs. "Green-on-Brown" Technology         377
      • 4.5.6.3 Precision Spraying Technologies       378
    • 4.5.7    Agricultural Drones    379
      • 4.5.7.1 Application Pipeline  379
      • 4.5.7.2 Imaging Applications                380
      • 4.5.7.3 Spraying Applications              381
      • 4.5.7.4 Regulatory Approvals by Region        382
    • 4.5.8    Dairy Farming Robots              384
      • 4.5.8.1 Milking Robots              385
      • 4.5.8.2 Feed Pushers 386
      • 4.5.8.3 Market Adoption Trends          387
  • 4.6        Construction Robotics            390
    • 4.6.1    3D Printing Construction Robots      390
      • 4.6.1.1 Technologies  390
      • 4.6.1.2 Applications   390
    • 4.6.2    Demolition Robots     391
      • 4.6.2.1 Technologies  391
      • 4.6.2.2 Applications   392
    • 4.6.3    Bricklaying and Masonry Robots      393
      • 4.6.3.1 Technologies  393
      • 4.6.3.2 Applications   394
  • 4.7        Humanoid Robots      395

 

5             TECHNOLOGY COMPONENTS AND SUBSYSTEMS              397

  • 5.1        AI and Control Systems          397
    • 5.1.1    Artificial Intelligence and Machine Learning             397
      • 5.1.1.1 AI Applications in Robotics   398
      • 5.1.1.2 Machine Learning Techniques for Robotics               398
    • 5.1.2    End-to-end AI 398
      • 5.1.2.1 Perception to Action Systems             398
      • 5.1.2.2 Implementation Challenges 398
    • 5.1.3    Multi-modal AI Algorithms    398
      • 5.1.3.1 Vision-Language Models        398
      • 5.1.3.2 Sensor-Fusion AI         398
    • 5.1.4    Intelligent Control Systems and Optimization         398
      • 5.1.4.1 Control Architectures               398
      • 5.1.4.2 Motion Planning           398
  • 5.2        Sensors and Perception          399
    • 5.2.1    Sensory Systems in Robots  399
      • 5.2.1.1  Importance of Sensing in Robots   399
      • 5.2.1.2 Typical Sensors Used for Robots      399
    • 5.2.2    Sensors by Functions and Tasks       399
      • 5.2.2.1 Navigation and Mapping        399
      • 5.2.2.2 Object Detection and Recognition  399
      • 5.2.2.3 Safety and Collision Avoidance         399
      • 5.2.2.4 Environmental Sensing           399
    • 5.2.3    Sensors by Robot Type             399
      • 5.2.3.1 Industrial Robotic Arms          400
      • 5.2.3.2 AGVs and AMRs           400
      • 5.2.3.3 Collaborative Robots                400
      • 5.2.3.4 Drones               400
      • 5.2.3.5 Service Robots             400
      • 5.2.3.6 Underwater Robots   400
      • 5.2.3.7 Agricultural Robots    400
      • 5.2.3.8 Cleaning Robots          400
      • 5.2.3.9 Social Robots 400
    • 5.2.4    Vision Systems             400
      • 5.2.4.1 Cameras (RGB, Depth, Thermal, Event-based)       401
      • 5.2.4.2 CMOS Image Sensors vs. CCD Cameras    401
      • 5.2.4.3 Stereo Vision and 3D Perception       401
      • 5.2.4.4 In-Camera Computer Vision                402
      • 5.2.4.5 Hyperspectral Imaging Sensors        402

 

6             END-USE INDUSTRY ANALYSIS          402

  • 6.1        Manufacturing              402
    • 6.1.1    Automotive      402
      • 6.1.1.1 Opportunities and Challenges           403
      • 6.1.1.2 Applications   403
      • 6.1.1.3 Market Forecast           403
    • 6.1.2    Electronics      403
      • 6.1.2.1 3C Manufacturing Challenges            403
      • 6.1.2.2 Applications   404
      • 6.1.2.3 Market Forecast           404
    • 6.1.3    Food and Beverage    404
      • 6.1.3.1 Industry Challenges and Requirements       404
      • 6.1.3.2 Applications   404
      • 6.1.3.3 Palletizing        404
      • 6.1.3.4 Market Forecast           405
    • 6.1.4    Pharmaceutical           405
      • 6.1.4.1 Industry Requirements            405
      • 6.1.4.2 Applications   406
      • 6.1.4.3 Market Forecast           406
  • 6.2        Healthcare       406
    • 6.2.1    Challenges in Healthcare Industry  406
    • 6.2.2    Applications   406
      • 6.2.2.1 Surgical Assistance   406
      • 6.2.2.2 Rehabilitation                406
      • 6.2.2.3 Laboratory Automation           407
      • 6.2.2.4 Medication Management       407
    • 6.2.3    Market Drivers               407
    • 6.2.4    Technology Readiness Level                407
  • 6.3        Logistics and Warehousing  408
    • 6.3.1    Applications   408
      • 6.3.1.1 Material Transport      408
      • 6.3.1.2 Order Picking 408
      • 6.3.1.3 Inventory Management           409
      • 6.3.1.4 Palletizing and Depalletizing                409
    • 6.3.2    Market Drivers               409
    • 6.3.3    Technology Readiness Level                409
    • 6.3.4    Last Mile Delivery Solutions 409
      • 6.3.4.1 Ground-Based Delivery Vehicles      409
      • 6.3.4.2 Delivery Drones            410
      • 6.3.4.3 Regulatory Considerations   410
  • 6.4        Agriculture       410
    • 6.4.1    Market Drivers               410
    • 6.4.2    Applications   410
      • 6.4.2.1 Field Operations          410
      • 6.4.2.2 Harvesting       411
      • 6.4.2.3 Dairy Farming 411
    • 6.4.3    Technology Readiness Level                411
    • 6.4.4    Emerging Technologies            413
    • 6.4.5    Sensors in Agricultural Robots           413
      • 6.4.5.1 Imaging Sensors Comparison            413
      • 6.4.5.2 Navigation Sensors    415
      • 6.4.5.3 Environmental Sensors           415
  • 6.5        Construction  420
    • 6.5.1    Market Drivers               420
    • 6.5.2    Applications   422
      • 6.5.2.1 Site Preparation           422
      • 6.5.2.2 Structural Work            423
      • 6.5.2.3 Finishing Tasks             424
    • 6.5.3    Technology Readiness Level                425
  • 6.6        Retail and Consumer               426
    • 6.6.1    Customer Service and Hospitality   426
      • 6.6.1.1 Front-of-House Applications               426
      • 6.6.1.2 Back-of-House Applications               427
    • 6.6.2    Market Drivers               428
      • 6.6.2.1 Labor Challenges        428
      • 6.6.2.2 Customer Experience Enhancement             429
      • 6.6.2.3 Operational Efficiency             431
    • 6.6.3    Applications   431
      • 6.6.3.1 Reception and Concierge      432
      • 6.6.3.2 Food Service   432
      • 6.6.3.3 Retail Assistance        432
      • 6.6.3.4 Entertainment               432
    • 6.6.4    Technology Readiness Level                432
  • 6.7        Military and Defense 433
    • 6.7.1    Market Drivers               433
    • 6.7.2    Applications   434
      • 6.7.2.1 Reconnaissance and Surveillance   434
      • 6.7.2.2 Explosive Ordnance Disposal             435
      • 6.7.2.3 Logistics Support        436
      • 6.7.2.4 Combat Support          436
    • 6.7.3    Technology Readiness Level                437
  • 6.8        Energy and Utilities    438
    • 6.8.1    Li-ion Battery Industry             438
      • 6.8.1.1 Benefits of Robotics in Li-ion Manufacturing            438
      • 6.8.1.2 Use Cases       439
    • 6.8.2    Photovoltaic Industry               441
      • 6.8.2.1 Overview and Use Cases       441
      • 6.8.2.2 Barriers and Solutions             443
    • 6.8.3    Semiconductor Industry        444
      • 6.8.3.1 Emerging Applications             444
      • 6.8.3.2 Technical Requirements and Barriers            445
      • 6.8.3.3 Future Trends 446
  • 6.9        Mining and Resources              447
    • 6.9.1    Market Drivers               447
    • 6.9.2    Applications   448
    • 6.9.3    Technology Readiness Level                448
  • 6.10     Education and Research        449
    • 6.10.1 Market Drivers               449
    • 6.10.2 Applications   450
    • 6.10.3 Technology Readiness Level                451
  • 6.11     Entertainment and Leisure   452
    • 6.11.1 Market Drivers               452
    • 6.11.2 Applications   452
    • 6.11.3 Technology Readiness Level                453
  • 6.12     Personal Use and Domestic Settings             454
    • 6.12.1 Market Drivers               454
      • 6.12.1.1            Aging Population         454
      • 6.12.1.2            Smart Home Integration         455
      • 6.12.1.3            Convenience Factors               455
    • 6.12.2 Applications   456
      • 6.12.2.1            Household Assistance            456
      • 6.12.2.2            Companionship          457
      • 6.12.2.3            Security              457
    • 6.12.3 Technology Readiness Level                458
    • 6.12.4 Cleaning and Disinfection Robots   459
      • 6.12.4.1            Floor Cleaning Robots             459
      • 6.12.4.2            Window and Wall Cleaning Robots 460
      • 6.12.4.3            UV-based Disinfection Robots           460

 

7             MARKET DRIVERS AND RESTRAINTS              461

  • 7.1        Market Drivers               461
    • 7.1.1    Labor Shortages and Wage Inflation               461
      • 7.1.1.1 Global Labor Market Trends 462
      • 7.1.1.2 Industry-Specific Impacts     462
    • 7.1.2    Productivity and Efficiency Demands            463
      • 7.1.2.1 Manufacturing Efficiency       464
      • 7.1.2.2 Logistics Optimization             464
      • 7.1.2.3 Healthcare Productivity          465
    • 7.1.3    Quality and Precision Requirements              465
      • 7.1.3.1 Manufacturing Quality Control           465
      • 7.1.3.2 Healthcare Precision                466
    • 7.1.4    Workplace Safety Concerns 466
      • 7.1.4.1 Hazardous Environment Applications           467
      • 7.1.4.2 Ergonomic Considerations   467
    • 7.1.5    Aging Population         468
      • 7.1.5.1 Healthcare Applications        468
      • 7.1.5.2 Workforce Replacement         469
    • 7.1.6    Advancements in Artificial Intelligence and Machine Learning    470
      • 7.1.6.1 Improved Perception Systems            470
      • 7.1.6.2 Enhanced Decision Making 471
      • 7.1.6.3 Autonomous Capabilities     471
    • 7.1.7    Need for Personal Assistance and Companionship            472
      • 7.1.7.1 Eldercare Applications            472
      • 7.1.7.2 Household Assistance            473
    • 7.1.8    Exploration of Hazardous and Extreme Environments       473
      • 7.1.8.1 Nuclear Applications                474
      • 7.1.8.2 Deep Sea Exploration               474
      • 7.1.8.3 Space Applications   475
    • 7.1.9    E-commerce Growth 475
      • 7.1.9.1 Last-Mile Delivery Challenges            476
      • 7.1.9.2 Warehouse Automation Needs          476
  • 7.2        Market Restraints       477
    • 7.2.1    High Initial Investment Costs              477
      • 7.2.1.1 Robot Hardware Costs            477
      • 7.2.1.2 Integration and Implementation Costs         478
    • 7.2.2    Technical Limitations               478
      • 7.2.2.1 AI and Perception Challenges             478
      • 7.2.2.2 Manipulation Challenges       479
      • 7.2.2.3 Energy and Power Limitations            479
    • 7.2.3    Implementation Challenges 480
      • 7.2.3.1 Integration with Existing Systems     480
      • 7.2.3.2 User Training and Adoption  481
    • 7.2.4    Safety and Regulatory Concerns       481
      • 7.2.4.1 Human-Robot Collaboration Safety               481
      • 7.2.4.2 Autonomous System Regulations    482
    • 7.2.5    Workforce Resistance and Social Acceptance        482
      • 7.2.5.1 Employment Concerns           483
      • 7.2.5.2 Human-Robot Interaction Challenges          483

 

8             EMERGING TRENDS AND DEVELOPMENTS              484

  • 8.1        Swarm Robotics          484
    • 8.1.1    Technologies and Approaches           484
    • 8.1.2    Application Potential 484
    • 8.1.3    Market Outlook            485
  • 8.2        Human-Robot Collaboration               486
    • 8.2.1    Advances in Safe Interaction               486
    • 8.2.2    Intuitive Programming Interfaces     486
    • 8.2.3    Market Implementation Examples   487
  • 8.3        Self-Learning and Adaptive Robots 487
    • 8.3.1    Reinforcement Learning Applications           487
    • 8.3.2    Transfer Learning        487
    • 8.3.3    Continual Learning Systems                488
  • 8.4        Cloud Robotics            489
    • 8.4.1    Distributed Computing for Robotics               489
    • 8.4.2    Shared Learning and Knowledge Bases       489
    • 8.4.3    Remote Operation Capabilities         490
  • 8.5        Digital Twin Integration            490
    • 8.5.1    Simulation and Planning        490
    • 8.5.2    Predictive Maintenance          491
    • 8.5.3    Performance Optimization   491
  • 8.6        Robot-as-a-Service (RaaS) Business Models           492
    • 8.6.1    Subscription-Based Services              492
    • 8.6.2    Pay-Per-Use Models  493
    • 8.6.3    Market Adoption Trends          494
  • 8.7        Soft Robotics 494
    • 8.7.1    Materials and Actuators          495
    • 8.7.2    Control Systems          496
    • 8.7.3    Application Areas       496
  • 8.8        Neuromorphic Computing for Robotics       497
    • 8.8.1    Brain-Inspired Computing Architectures     497
    • 8.8.2    Applications in Perception    498
    • 8.8.3    Energy Efficiency Benefits     498
  • 8.9        Micro-nano Robots    499
    • 8.9.1    Technologies and Designs    499
    • 8.9.2    Medical Applications                501
    • 8.9.3    Industrial Applications            501
  • 8.10     Brain Computer Interfaces    502
    • 8.10.1 Non-Invasive BCIs      502
    • 8.10.2 Invasive BCIs 503
    • 8.10.3 Applications in Robot Control             503
  • 8.11     Mobile Cobots              504
    • 8.11.1 Technologies and Designs    504
    • 8.11.2 Applications   505
    • 8.11.3 Market Outlook            505
  • 8.12     Industry 5.0 and Collaborative Robots         506
    • 8.12.1 Human-Machine Collaboration         506
    • 8.12.2 Sustainable Manufacturing  507
    • 8.12.3 Implementation Examples   507
  • 8.13     Low-carbon Robotics Manufacturing            508
    • 8.13.1 Sustainable Design Approaches       508
    • 8.13.2 Energy-Efficient Operation    509
    • 8.13.3 End-of-Life Considerations  509
  • 8.14     Autonomous Navigation and Localization  510
    • 8.14.1 SLAM Advancements               510
    • 8.14.2 Multi-Sensor Fusion  511
    • 8.14.3 GPS-Denied Navigation          511
  • 8.15     Navigation Sensors Driven by Autonomous Mobility           512
    • 8.15.1 LiDAR Innovations      512
    • 8.15.2 Computer Vision Advancements      513
    • 8.15.3 Sensor Fusion Approaches  513

 

9             CHALLENGES AND OPPORTUNITIES             514

  • 9.1        Technical Challenges               514
    • 9.1.1    Perception and Sensing          514
    • 9.1.2    Manipulation and Dexterity   514
    • 9.1.3    Power and Energy Management        515
    • 9.1.4    Human-Robot Interaction     516
  • 9.2        Market Challenges     517
    • 9.2.1 Cost Barriers  517
    • 9.2.2 Skills and Training Gaps          517
    • 9.2.3 Integration Complexity            518
    • 9.2.4 Supply Chain Issues 518
  • 9.3        Regulatory Challenges            519
    • 9.3.1    Regulations for Autonomous Vehicles          520
      • 9.3.1.1 SAE Level 4-5 Regulations     520
      • 9.3.1.2 Testing and Certification Requirements       520
    • 9.3.2    Regulations for Delivery Drones        520
      • 9.3.2.1 Airspace Regulations               521
      • 9.3.2.2 Payload and Distance Limitations   521
    • 9.3.3    Recent Regulatory Updates  522

 

10          FUTURE OUTLOOK    524

  • 10.1     Technology Roadmap (2025-2045) 524
    • 10.1.1 Short-term Developments (2025-2030)       524
    • 10.1.2 Medium-term Developments (2030-2035) 525
    • 10.1.3 Long-term Developments (2035-2045)        527
  • 10.2     Industry Convergence Opportunities             527
    • 10.2.1 Robotics and AI            527
    • 10.2.2 Robotics and IoT          528
    • 10.2.3 Robotics and Advanced Manufacturing       529
  • 10.3     Robotics and the Future of Work      530
    • 10.3.1 Job Transformation    530
    • 10.3.2 New Skill Requirements         531
    • 10.3.3 Human-Robot Collaboration Models             531

 

11          COMPANY PROFILES                532 (264 company profiles)

 

12          APPENDICES  807

 

13          REFERENCES 807

 

List of Tables

  • Table 1. Robot Categorization.           43
  • Table 2.Global Unit Sales Forecast 2023-2045 (Million Units).     44
  • Table 3. Global Market Size by Robot Type 2023-2045 (Million Units).     45
  • Table 4. Global Unit Sales Forecast 2023-2045 (Million USD).     47
  • Table 5. Global Unit Sales Forecast 2023-2045 (Million USD).     49
  • Table 6. Market drivers and restraints.          51
  • Table 7. Performance Parameters of Humanoid Robots.  56
  • Table 8. Comparison of Sensing Technologies.       65
  • Table 9. Navigation Sensors for Autonomous Mobility.      66
  • Table 10. Parameter Comparison - Payload vs. Speed.      70
  • Table 11. Market growth rates for advanced robotics by region.   75
  • Table 12. Leading Companies by Robot Type.          83
  • Table 13. Recent investments in advanced robotics companies.               97
  • Table 14. Venture Capital Funding of Robotics Startups.  100
  • Table 15. Classification of Robot Types.       103
  • Table 16. Three Phases of Robot Adoption.                118
  • Table 17. Traditional Industrial Robots vs. Collaborative Robots.               120
  • Table 18. Key AI Methods for Robotics.         124
  • Table 19. Deep Learning Approaches.           125
  • Table 20. Convolutional Neural Networks in Robotics.      127
  • Table 21. Image Recognition Technologies.               128
  • Table 22. Materials in Advanced Robotics. 133
  • Table 23. Types of metals commonly used in advanced robots.  135
  • Table 24. Types of plastics and polymers commonly used in advanced robots.               136
  • Table 25. Types of composites commonly used in advanced robots.       137
  • Table 26. Types of elastomers commonly used in advanced robots.        138
  • Table 27. Types of smart materials in advanced robotics.                139
  • Table 28. Types of textiles commonly used in advanced d robots.             141
  • Table 29. Types of ceramics commonly used in advanced robots.             142
  • Table 30. Biomaterials commonly used in advanced robotics.     144
  • Table 31. Types of nanomaterials used in advanced robotics.      146
  • Table 32. Types of coatings used in advanced robotics.    148
  • Table 33. Typical Sensors for Object Detection.      160
  • Table 34. Technology Maturity Status Definitions. 171
  • Table 35. Readiness Level of Technologies by Application Sector.              172
  • Table 36. Authorities Regulating Autonomous Driving.      185
  • Table 37. Regulations for Delivery Robots and Drones.     186
  • Table 38. Industrial Robot Regulations.        187
  • Table 39. Data Privacy and Security Regulations.  188
  • Table 40. Regional Differences in Regulations.       190
  • Table 41. Data Security Requirements.        191
  • Table 42. Historic Cobot Market Size 2019-2024 (Millions USD). 196
  • Table 43. Historic Service Robot Market Size 2019-2024 (Millions USD).              198
  • Table 44. Historic Mobile Robot Market Size 2019-2024 (Millions USD). 200
  • Table 45. Global market for industrial robots 2020-2045 (Millions USD).              202
  • Table 46. Global market for Cobots by payload capacity 2025-2045.      203
  • Table 47. Global market for Cobots By Degrees of Freedom 2025-2045.              204
  • Table 48.Global market for Cobots By End-Effector Type 2025-2045.     205
  • Table 49. Global market for Professional Service Robots 2025-2045 (Million Units).    206
  • Table 50. Global market for Personal/Domestic Service Robots 2025-2045 (Million Units).     207
  • Table 51. Global market for Entertainment Robots 2025-2045 (Million Units).  208
  • Table 52. Global market for Humanoid Robots by type 2025-2045 (Million Units). .       209
  • Table 53. Global market for Humanoid Robots by Application 2025-2045 (Million Units).         209
  • Table 54. Global market for Autonomous Mobile Robots (AMRs) 2025-2045.    212
  • Table 55. Global market for Automated Guided Vehicles (AGVs) 2025-2045.     212
  • Table 56. Global market for Grid-Based Automated Guided Carts (AGCs) 2025-2045. 213
  • Table 57. Global market for Mobile Picking Robots 2025-2045.   214
  • Table 58. Global market for Mobile Manipulators 2025-2045.      215
  • Table 59. Global market for Last-Mile Delivery Robots 2025-2045.           216
  • Table 60. Global market for Heavy-Duty L4 Autonomous Trucks 2025-2045.     217
  • Table 61. Global market for advanced robotics by component 2025-2045 (Millions USD).       223
  • Table 62. Global market for advanced robotics in manufacturing by type 2025-2045 (Millions USD). 229
  • Table 63. Global market for advanced robotics in healthcare by type 2025-2045 (Millions USD).         230
  • Table 64. Global market for advanced robotics in logistics and warehousing by type 2025-2045 (Millions USD).  232
  • Table 65. Global market for advanced robotics in agriculture by type 2025-2045 (Millions USD).        233
  • Table 66. Global market for advanced robotics in manufacturing by type 2025-2045 (Millions USD). 234
  • Table 67. Global market for advanced robotics in retail and hospitality by type 2025-2045 (Millions USD).  236
  • Table 68. Global market for advanced robotics in retail and hospitality by type 2025-2045 (Million Units).                237
  • Table 69. Global market for advanced robotics in Energy and Utilities by type 2025-2045 (Millions USD).                238
  • Table 70. Global market for advanced robotics in Education and Research by type 2025-2045 (Millions USD).  239
  • Table 71. Global market for advanced robotics in Consumer and Domestic by type 2025-2045 (Millions USD).  240
  • Table 72. Global market for advanced robotics in Entertainment and Leisure by type 2025-2045 (Millions USD).  242
  • Table 73. Global market for advanced robotics in North America, 2025-2045 (Million Units). 244
  • Table 74. Global market for advanced robotics in North America, 2025-2045 (Million USD).  245
  • Table 75. Global market for advanced robotics in Europe, 2025-2045 (Million Units).  246
  • Table 76. Global market for advanced robotics in Europe 2025-2045 (Million USD).     247
  • Table 77. Global market for advanced robotics in Asia-Pacific, 2025-2045 (Million Units).       249
  • Table 78. Global market for advanced robotics in Asia-Pacific, 2025-2045 (Million USD).         249
  • Table 79. Global market for advanced robotics in Japan, 2025-2045 (Million Units).     250
  • Table 80. Global market for advanced robotics in Japan, 2025-2045 (Million USD).      251
  • Table 81. Global market for advanced robotics in China, 2025-2045 (Million Units).    251
  • Table 82. Global market for advanced robotics in China, 2025-2045 (Million USD).      252
  • Table 83. Cost Analysis by Robot Type.         253
  • Table 84. Industrial Robot Costs.     254
  • Table 85. Collaborative Robot Costs.            254
  • Table 86. Service Robot Costs.          255
  • Table 87. Humanoid Robot Costs.   256
  • Table 88. Mobile Robot Costs.           258
  • Table 89. Sensor Costs.          258
  • Table 90. Actuator and Power System Costs.           259
  • Table 91. Payback Time/ROI by Application.             262
  • Table 92. Parameter Comparison - Payload vs. Max Traveling Speed.       266
  • Table 93. Industrial Robots Performance Metrics. 267
  • Table 94. Mobile Robots Performance Metrics.       268
  • Table 95. Collaborative Robots Performance Metrics.        269
  • Table 96. Raw Materials and Components suppliers.         270
  • Table 97. Robot Manufacturers.        271
  • Table 98. Software Developers.         273
  • Table 99. System Integrators.              274
  • Table 100. Benefits and Drawbacks of Cobots.       294
  • Table 101. Safety Requirements for Cobots.             294
  • Table 102. Cobot Cost Analysis.       298
  • Table 103. Payload Summary of Cobots.     299
  • Table 104. Commercialized Cobots.              299
  • Table 105. Benchmarking Based on DoF, Payload, Weight.             300
  • Table 106. Price Categories of Cobots.         303
  • Table 107. AMR Navigation Technologies.   307
  • Table 108. Articulated Robots Types and Applications.     308
  • Table 109. Key Technologies for Articulated Robots.           309
  • Table 110. Applications in Manufacturing for Humanoid Industrial Robots.        310
  • Table 111. Design Considerations for Humanoid Industrial Robots.         311
  • Table 112. Categories and Applications of Professional Service Robots.              314
  • Table 113. Types and Applications of Personal/Domestic Service Robots.          317
  • Table 114. Consumer Adoption Trends in Personal/Domestic Service Robots. 318
  • Table 115. Entertainment Robots Types and Applications.             321
  • Table 116. Key Technologies in Surgical Robots.    324
  • Table 117. Surgical robotics comp   325
  • Table 118. Rehabilitation Robots Types and Applications.              327
  • Table 119. Market challenges in care robots.           335
  • Table 120. Key Technologies in Robotic Surgery and Minimally Invasive Procedures.    336
  • Table 121. Market Trends in in Robotic Surgery and Minimally Invasive Procedures.      337
  • Table 122. Intelligent Health Monitoring and Diagnostics Technologies.                338
  • Table 123. Intelligent Health Monitoring and Diagnostics Applications. 340
  • Table 124. Telemedicine and Remote Health Management Technologies.           341
  • Table 125. Telemedicine and Remote Health Management Applications.            342
  • Table 126. Robotics in Mental Health Applications.             343
  • Table 127. Unmanned Ground Vehicles (UGVs) Applications.      345
  • Table 128. Unmanned Ground Vehicles (UGVs) Technologies.     346
  • Table 129. Unmanned Aerial Vehicles (UAVs) Applications.           347
  • Table 130. Unmanned Aerial Vehicles (UAVs) Technologies.          348
  • Table 131. Unmanned Underwater Vehicles (UUVs) Applications.             349
  • Table 132. Unmanned Underwater Vehicles (UUVs) Technologies.            350
  • Table 133. Agricultural Robot Products.       351
  • Table 134. Fresh Fruit Picking Robots.          360
  • Table 135. Vegetable Harvesting Robots.    364
  • Table 136. Seeding and Planting Robots.    367
  • Table 137. Crop Monitoring Robots.               372
  • Table 138. Commercial Weeding Robots.   376
  • Table 139. Precision Spraying Technologies.             378
  • Table 140. Regulatory Approvals for Agricultural Drones by Region           382
  • Table 141. Dairy Farming Robots.    384
  • Table 142. Market Adoption Trends in Dairy Farming Robots.        387
  • Table 143. Imaging Sensors Comparison.  413
  • Table 144. 6.4.6           Agricultural Robotics Companies.  416
  • Table 145. Cleaning and Disinfection Robots.         459
  • Table 146. DOBOT - CR series.           612
  • Table 147. Universal Robots - UR(x)e series.             787

 

List of Figures

  • Figure 1. Global Unit Sales Forecast 2023-2045 (Million Units).  45
  • Figure 2. Global Market Size by Robot Type 2023-2045 (Million Units).   46
  • Figure 3. Global Market Size by Robot Type 2023-2045 (Million USD).     48
  • Figure 4. Global Market Size by Robot Type 2023-2045 (Million USD).     50
  • Figure 5. Historical progression of humanoid robots.         55
  • Figure 6. Robotics Evolution Timeline.          61
  • Figure 7. Advanced robotics market map.  72
  • Figure 8. Regional Distribution of Robot Manufacturers.  74
  • Figure 9. Venture Capital Funding of Robotics Startups.   101
  • Figure 10. Industrial robots per 10,000 manufacturing workers 2018-2024.       105
  • Figure 11. Service Robot in Japan.   106
  • Figure 12. Technology Readiness Levels (TRL).       168
  • Figure 13. Roadmap and Maturity Analysis by Industry.    170
  • Figure 14.S-curve Illustration for advanced robotics.          194
  • Figure 15. Historic Cobot Market Size 2019-2024 (Millions USD).              197
  • Figure 16. Historic Service Robot Market Size 2019-2024 (Millions USD).            199
  • Figure 17. Historic Mobile Robot Market Size 2019-2024 (Millions USD).              201
  • Figure 18. Global market for industrial robots 2020-2045 (Millions USD).            203
  • Figure 19. Global market for Professional Service Robots 2025-2045 (Million Units).   207
  • Figure 20. Global market for Personal/Domestic Service Robots 2025-2045 (Million Units).   208
  • Figure 21. Global market for Entertainment Robots 2025-2045 (Million Units). 208
  • Figure 22. Global market for Humanoid Robots by type 2025-2045 (Million Units).       209
  • Figure 23. Global market for Humanoid Robots by Application 2025-2045 (Million Units).       210
  • Figure 24. Global market for Autonomous Mobile Robots (AMRs) 2025-2045.  212
  • Figure 25. Global market for Automated Guided Vehicles (AGVs) 2025-2045.   213
  • Figure 26. Global market for Grid-Based Automated Guided Carts (AGCs) 2025-2045.              214
  • Figure 27. Global market for Mobile Picking Robots 2025-2045. 215
  • Figure 28. Global market for Mobile Manipulators 2025-2045.    216
  • Figure 29. Global market for Last-Mile Delivery Robots 2025-2045.         217
  • Figure 30. Global market for Heavy-Duty L4 Autonomous Trucks 2025-2045.   218
  • Figure 31. Global market for advanced robotics by component 2025-2045 (Millions USD).     224
  • Figure 32. Global market for advanced robotics in manufacturing by type 2025-2045 (Millions USD).                230
  • Figure 33. Global market for advanced robotics in healthcare by type 2025-2045 (Millions USD).       231
  • Figure 34. Global market for advanced robotics in logistics and warehousing by type 2025-2045 (Millions USD).              232
  • Figure 35. Global market for advanced robotics in agriculture by type 2025-2045 (Millions USD).       234
  • Figure 36. Global market for advanced robotics in manufacturing by type 2025-2045 (Millions USD).                235
  • Figure 37. Global market for advanced robotics in retail and hospitality by type 2025-2045 (Millions USD).  236
  • Figure 38. Global market for advanced robotics in retail and hospitality by type 2025-2045 (Million Units). 238
  • Figure 39. Global market for advanced robotics in Energy and Utilities by type 2025-2045 (Millions USD).                239
  • Figure 40. Global market for advanced robotics in Education and Research by type 2025-2045 (Millions USD).  240
  • Figure 41. Global market for advanced robotics in Consumer and Domestic by type 2025-2045 (Millions USD).  241
  • Figure 42. Global market for advanced robotics in Entertainment and Leisure by type 2025-2045 (Millions USD).              243
  • Figure 43. Global market for advanced robotics in North America, 2025-2045 (Million Units).               245
  • Figure 44. Global market for advanced robotics in North America, 2025-2045 (Million USD). 245
  • Figure 45. Global market for advanced robotics in Europe, 2025-2045 (Million Units). 247
  • Figure 46. Global market for advanced robotics in Europe, 2025-2045 (Million USD).  247
  • Figure 47. Global market for advanced robotics in Asia-Pacific, 2025-2045 (Million Units).     249
  • Figure 48. Global market for advanced robotics in Asia-Pacific, 2025-2045 (Million USD).       250
  • Figure 49. Global market for advanced robotics in Japan, 2025-2045 (Million Units).   250
  • Figure 50. Global market for advanced robotics in Japan, 2025-2045 (Million USD).     251
  • Figure 51. Global market for advanced robotics in China, 2025-2045 (Million Units).  252
  • Figure 52. Global market for advanced robotics in China, 2025-2045 (Million USD).    253
  • Figure 53. Market supply chain.         277
  • Figure 54. TRL for advanced robotics in agriculture.            412
  • Figure 55. TRL for advanced robotics in construction         425
  • Figure 56. TRL for advanced robotics in Retail and Consumer.     432
  • Figure 57. TRL for advanced robotics in Military and Defense.      437
  • Figure 58. TRL for advanced robotics in Mining and Resources.  449
  • Figure 59. TRL for advanced robotics in Education and Leisure.  451
  • Figure 60. TRL for advanced robotics in Entertainment and Leisure.        453
  • Figure 61. TRL for advanced robotics in Personal Use and Domestic Settings.  458
  • Figure 62. Short-term Developments (2025-2030).              525
  • Figure 63. Medium-term Developments (2030-2035).       526
  • Figure 64. 10.1.3         Long-term Developments (2035-2045).      527
  • Figure 65. EVE/NEO.  532
  • Figure 66. ABB - YuMi.              535
  • Figure 67. ABB - GoFa.             535
  • Figure 68. RAISE-A1.  542
  • Figure 69. Agibot product line-up.    543
  • Figure 70. Digit humanoid robot.      544
  • Figure 71. Apptronick Apollo.              556
  • Figure 72. Aubo Robotics - i series. 559
  • Figure 73. Alex.              573
  • Figure 74. BR002.       575
  • Figure 75. Atlas.           576
  • Figure 76. Atlas 2.0.  576
  • Figure 77. XR-4.            605
  • Figure 78. D-Bot Cobots.       607
  • Figure 79. CR3, CR5, and CR10.       612
  • Figure 80. Dreame Technology's second-generation bionic robot dog and general-purpose humanoid robot.  616
  • Figure 81. Mercury X1.             628
  • Figure 82. Ameca.       632
  • Figure 83. Prototype Ex-Robots humanoid robots.               635
  • Figure 84. F&P Personal Robotics - P-Rob. 635
  • Figure 85. Fanuc - CR (collaborative robots) series - CR-4iA, CR-7iA, and CR-7iA/L.     636
  • Figure 86. Figure.ai humanoid robot.             646
  • Figure 87. Figure 02 humanoid robot.            647
  • Figure 88. GR-1.            648
  • Figure 89. Sophia.       658
  • Figure 90. Honda ASIMO.       663
  • Figure 91. Kaleido.      672
  • Figure 92. Forerunner.              673
  • Figure 93. KUKA - LBR iiwa series.    679
  • Figure 94. Kuafu.         680
  • Figure 95. CL-1.            683
  • Figure 96. MagicHand S01.   686
  • Figure 97. Black Panther 2.0.              696
  • Figure 98. Spacio humanoid ropbot prototype.       702
  • Figure 99. Neura Robotics - Cognitive Cobots.        707
  • Figure 100. Omron - TM5-700 and TM5X-700.          712
  • Figure 101.  Tora-One.              718
  • Figure 102. Reachy 2 robot.  725
  • Figure 103. HUBO2.  732
  • Figure 104. XBot-L.     737
  • Figure 105. Sanctuary AI Phoenix.    746
  • Figure 106. Pepper Humanoid Robot.           755
  • Figure 107. Astribot S1.           759
  • Figure 108. Stäubli - TX2touch series.           759
  • Figure 109. Tesla Optimus Gen 2.     769
  • Figure 110. Toyota T-HR3        776
  • Figure 111. UBTECH Walker. 782
  • Figure 112. G1 foldable robot.            783
  • Figure 113. WANDA.  786
  • Figure 114. Universal Robots - UR(x)e seriesUniversal Robots - UR30     787
  • Figure 115. Unitree H1.           788
  • Figure 116. CyberOne.             802
  • Figure 117. PX5.           803
  • Figure 118. Yuanda robot.     805

 

 

 

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