The Global Industrial Robots Market 2026-2046

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

• 1.1. Market Overview and Size
• 1.2. Robot Categorization
• 1.3. Industrial Robotics Landscape
• 1.4. Global Market Forecast
  • 1.4.1. Units
  • 1.4.2. Revenues
• 1.5. Key Drivers and Restraints
• 1.6. Technology Trends
  • 1.6.1. Automation for improved efficiency
    • 1.6.1.1. Robot Density in Manufacturing 2020-2024
    • 1.6.1.2. Growth of Robot Users 2020-2024
  • 1.6.2. Humanoid Robots
  • 1.6.3. Collaborative Robots (Cobots)
  • 1.6.4. Physical, Analytic and Generative AI
  • 1.6.5. Robotics Evolution Timeline
  • 1.6.6. Sustainability and Energy Consumption
  • 1.6.7. Addressing Labor Shortages
  • 1.6.8. Key Emerging Transitions in Sensing Technologies
• 1.7. Industry Convergence
  • 1.7.1. Mobile Robots vs. Fixed Automation
  • 1.7.2. Robot-as-a-Service (RaaS) Business Models
  • 1.7.3. Industry 5.0 - Transformative Vision
  • 1.7.4. Collaborative Robots Driving Industry 5.0
  • 1.7.5. Parameter Comparison - Payload vs. Speed
• 1.8. Competitive Landscape
  • 1.8.1. Global Competitive Landscape
  • 1.8.2. Leading Companies by Robot Type
  • 1.8.3. Major Industrial Robot Manufacturers
  • 1.8.4. Service Robot Specialists
  • 1.8.5. Cobot Manufacturers
  • 1.8.6. AI Robotics Companies
  • 1.8.7. Sensor and Component Developers
  • 1.8.8. End-Effector Suppliers
  • 1.8.9. Humanoid Robot Developers
• 1.9. Investment Trends
  • 1.9.1. Historic Funding Trends
  • 1.9.2. Recent investment
  • 1.9.3. Venture Capital Funding of Robotics Startups

2. INTRODUCTION

• 2.1. Defining Advanced Robotics
  • 2.1.1. Definitions of Key Terms
  • 2.1.2. Classification of Robot Types
  • 2.1.3. What are Robots?
    • 2.1.3.1. Industrial Robots
    • 2.1.3.2. Service Robots
    • 2.1.3.3. Collaborative Robots
    • 2.1.3.4. Mobile Robots
    • 2.1.3.5. Humanoid Robots
  • 2.1.4. Why Robots?
    • 2.1.4.1. Productivity Enhancement
    • 2.1.4.2. Labor Shortage Solutions
    • 2.1.4.3. Safety Improvements
    • 2.1.4.4. Quality and Precision Requirements
• 2.2. Industrial Robots
• 2.3. Evolution from Traditional to Advanced Robotics
  • 2.3.1. Historical Overview and Evolution
  • 2.3.2. Current State of Robotics in 2025
  • 2.3.3. Three Phases of Robot Adoption
  • 2.3.4. Evolution from Industrial to Service Robots
• 2.4. Key Enabling Technologies
  • 2.4.1. Artificial Intelligence and Machine Learning
    • 2.4.1.1. What is Artificial Intelligence?
      • 2.4.1.1.1. Key AI Methods for Robotics
    • 2.4.1.2. Deep Learning Approaches
    • 2.4.1.3. Convolutional Neural Networks in Robotics
  • 2.4.2. Computer Vision
    • 2.4.2.1. Image Recognition Technologies
    • 2.4.2.2. Object Detection and Tracking
    • 2.4.2.3. Scene Understanding
  • 2.4.3. Sensor Fusion
    • 2.4.3.1. Multi-sensor Integration
    • 2.4.3.2. Data Processing for Sensor Fusion
  • 2.4.4. Advanced Materials
    • 2.4.4.1. Metals
    • 2.4.4.2. Plastics and Polymers
    • 2.4.4.3. Composites
    • 2.4.4.4. Elastomers
    • 2.4.4.5. Smart Materials
    • 2.4.4.6. Textiles
    • 2.4.4.7. Ceramics
    • 2.4.4.8. Biomaterials
    • 2.4.4.9. Nanomaterials
    • 2.4.4.10. Coatings
      • 2.4.4.10.1. Self-healing coatings
      • 2.4.4.10.2. Conductive coatings
    • 2.4.4.11. Flexible and Soft Materials
  • 2.4.5. Edge Computing
    • 2.4.5.1. Local Processing vs. Cloud Computing
    • 2.4.5.2. Real-time Decision Making
  • 2.4.6. SLAM - Simultaneous Localization and Mapping
    • 2.4.6.1. LiDAR SLAM
    • 2.4.6.2. Visual SLAM (vSLAM)
    • 2.4.6.3. Hybrid SLAM Approaches
  • 2.4.7. Typical Sensors for Object Detection
    • 2.4.7.1. Camera-based Detection
    • 2.4.7.2. LiDAR-based Detection
    • 2.4.7.3. Radar Systems
    • 2.4.7.4. Ultrasonic Sensors
    • 2.4.7.5. Infrared and Thermal Sensors
• 2.5. Technology Readiness Assessment
  • 2.5.1. Technology Readiness Levels (TRL)
  • 2.5.2. Roadmap and Maturity Analysis by Industry
  • 2.5.3. Readiness Level of Technologies by Application Sector
• 2.6. Standards and Regulations
  • 2.6.1. Safety Requirements - Five Main Types
    • 2.6.1.1. Power and Force Limiting
    • 2.6.1.2. Speed and Separation Monitoring
    • 2.6.1.3. Hand Guiding
    • 2.6.1.4. Safety Monitored Stop
    • 2.6.1.5. Soft Impact Design
  • 2.6.2. Regional Safety Standards
    • 2.6.2.1. European Standards
    • 2.6.2.2. Asian Standards
  • 2.6.3. Global Regulatory Landscape
    • 2.6.3.1. Authorities Regulating Autonomous Driving
    • 2.6.3.2. Regulations for Delivery Robots and Drones
    • 2.6.3.3. Industrial Robot Regulations
    • 2.6.3.4. Data Privacy and Security Regulations
    • 2.6.3.5. Regional Differences in Regulations
    • 2.6.3.6. Data Security Requirements

3. GLOBAL MARKET ANALYSIS

• 3.1. Market Segmentation
  • 3.1.1. By Robot Type
    • 3.1.1.1. Industrial Robots
      • 3.1.1.1.1. Units
      • 3.1.1.1.2. Revenues
    • 3.1.1.2. Collaborative Robots (Cobots)
      • 3.1.1.2.1. By revenues
      • 3.1.1.2.2. By Payload Capacity
      • 3.1.1.2.3. By Degrees of Freedom
      • 3.1.1.2.4. By End-Effector Type
    • 3.1.1.3. Humanoid Robots
      • 3.1.1.3.1. By Type (Full-Size, Medium, Small)
      • 3.1.1.3.2. By Application
    • 3.1.1.4. Mobile Robots
      • 3.1.1.4.1. Autonomous Mobile Robots (AMRs)
      • 3.1.1.4.2. Automated Guided Vehicles (AGVs)
      • 3.1.1.4.3. Grid-Based Automated Guided Carts (AGCs)
      • 3.1.1.4.4. Mobile Picking Robots
      • 3.1.1.4.5. Mobile Manipulators
      • 3.1.1.4.6. Last-Mile Delivery Robots
      • 3.1.1.4.7. Heavy-Duty L4 Autonomous Trucks
  • 3.1.2. By Technology
    • 3.1.2.1. Navigation and Mapping
    • 3.1.2.2. Object Recognition and Tracking
    • 3.1.2.3. End-Effector and Manipulation
    • 3.1.2.4. Human-Robot Interaction
    • 3.1.2.5. Artificial Intelligence
  • 3.1.3. By Component
    • 3.1.3.1. Hardware
      • 3.1.3.1.1. Sensors
      • 3.1.3.1.2. Actuators
      • 3.1.3.1.3. Power Systems
      • 3.1.3.1.4. Control Systems
      • 3.1.3.1.5. End-Effectors
    • 3.1.3.2. Software
      • 3.1.3.2.1. Control Software
      • 3.1.3.2.2. Perception Software
      • 3.1.3.2.3. Human-Machine Interface
    • 3.1.3.3. Services
      • 3.1.3.3.1. Installation and Integration
      • 3.1.3.3.2. Maintenance and Support
  • 3.1.4. By End-use Industry
    • 3.1.4.1. Manufacturing
    • 3.1.4.2. Logistics and Warehousing
• 3.2. Regional Market Analysis
  • 3.2.1. North America
  • 3.2.2. Europe
  • 3.2.3. Japan
  • 3.2.4. China
  • 3.2.5. India
• 3.3. Pricing Analysis and Cost Structure
  • 3.3.1. Cost Analysis by Robot Type
    • 3.3.1.1. Industrial Robot Costs
    • 3.3.1.2. Collaborative Robot Costs
    • 3.3.1.3. Service Robot Costs
    • 3.3.1.4. Humanoid Robot Costs
    • 3.3.1.5. Mobile Robot Costs
  • 3.3.2. Cost Analysis by Component
    • 3.3.2.1. Sensor Costs
    • 3.3.2.2. Actuator and Power System Costs
    • 3.3.2.3. Computing and Control System Costs
    • 3.3.2.4. End-Effector Costs
  • 3.3.3. Payback Time/ROI by Application
    • 3.3.3.1. Manufacturing ROI
    • 3.3.3.2. Logistics ROI
  • 3.3.4. Parameter Comparison - Payload vs. Max Traveling Speed
    • 3.3.4.1. Industrial Robots Performance Metrics
    • 3.3.4.2. Mobile Robots Performance Metrics
    • 3.3.4.3. Collaborative Robots Performance Metrics

4. TECHNOLOGY LANDSCAPE

• 4.1. Collaborative Robots (Cobots)
  • 4.1.1. Six Stages of Human-Robot Interaction (HRI)
    • 4.1.1.1. Stage One: Non-Collaborative Robots
    • 4.1.1.2. Stage Two: Non-Collaborative with Virtual Guarding
    • 4.1.1.3. Stage Three: Laser Scanner Separation
    • 4.1.1.4. Stage Four: Shared Workspace
    • 4.1.1.5. Stage Five: Operators and Robots Working Together
    • 4.1.1.6. Stage Six: Autonomous Mobile Collaborative Robots
  • 4.1.2. Traditional Industrial Robots vs. Collaborative Robots
  • 4.1.3. Benefits and Drawbacks of Cobots
  • 4.1.4. Safety Requirements for Cobots
    • 4.1.4.1. Power and Force Limiting
    • 4.1.4.2. Speed and Separation Monitoring
    • 4.1.4.3. Hand Guiding
    • 4.1.4.4. Safety-Rated Monitored Stop
    • 4.1.4.5. Biomechanical Limit Criteria
  • 4.1.5. Cobot Cost Analysis
  • 4.1.6. Payload Summary of Cobots
  • 4.1.7. Overview of Commercialized Cobots
    • 4.1.7.1. Benchmarking Based on DoF, Payload, Weight
    • 4.1.7.2. 6-DoF Cobots
    • 4.1.7.3. 7-DoF Cobots
    • 4.1.7.4. Price Categories of Cobots
  • 4.1.8. Market Players
• 4.2. Autonomous Mobile Robots (AMRs)
  • 4.2.1. Transition from AGVs to AMRs
  • 4.2.2. Technology Evolution Towards Fully Autonomous Mobile Robots
  • 4.2.3. AMR Navigation Technologies
• 4.3. Humanoid Industrial Robots
  • 4.3.1. Applications in Manufacturing
  • 4.3.2. Design Considerations
  • 4.3.3. Market Players
• 4.4. Mobile Robots
  • 4.4.1. Rolling Robots
  • 4.4.2. Market Players
• 4.5. Robotic Arms
  • 4.5.1. Types and Applications
  • 4.5.2. SCARA Robots
  • 4.5.3. Delta Robots
  • 4.5.4. Cartesian (Gantry) Robots
  • 4.5.5. Market Players
• 4.6. Robotic Grippers
  • 4.6.1. Market Players
• 4.7. Software & Control
• 4.8. Supporting Systems
  • 4.8.1. Linear Motion Systems
    • 4.8.1.1. Rails
    • 4.8.1.2. Actuators for Cartesian robots or auxiliary axes
    • 4.8.1.3. Market Players
  • 4.8.2. Vision Systems
    • 4.8.2.1. Cameras
    • 4.8.2.2. LiDAR
    • 4.8.2.3. Sensors for guidance/QC
    • 4.8.2.4. Market Players

5. TECHNOLOGY COMPONENTS AND SUBSYSTEMS

• 5.1. AI and Control Systems
  • 5.1.1. Artificial Intelligence and Machine Learning
    • 5.1.1.1. AI Applications in Robotics
    • 5.1.1.2. Machine Learning Techniques for Robotics
  • 5.1.2. End-to-end AI
    • 5.1.2.1. Perception to Action Systems
    • 5.1.2.2. Implementation Challenges
  • 5.1.3. Multi-modal AI Algorithms
    • 5.1.3.1. Vision-Language Models
    • 5.1.3.2. Sensor-Fusion AI
  • 5.1.4. Intelligent Control Systems and Optimization
    • 5.1.4.1. Control Architectures
    • 5.1.4.2. Motion Planning
• 5.2. Sensors and Perception
  • 5.2.1. Sensory Systems in Robots
    • 5.2.1.1. Importance of Sensing in Robots
    • 5.2.1.2. Typical Sensors Used for Robots
  • 5.2.2. Sensors by Functions and Tasks
    • 5.2.2.1. Navigation and Mapping
    • 5.2.2.2. Object Detection and Recognition
    • 5.2.2.3. Safety and Collision Avoidance
    • 5.2.2.4. Environmental Sensing
  • 5.2.3. Sensors by Robot Type
    • 5.2.3.1. Industrial Robotic Arms
    • 5.2.3.2. AGVs and AMRs
    • 5.2.3.3. Collaborative Robots
    • 5.2.3.4. Drones
    • 5.2.3.5. Service Robots
    • 5.2.3.6. Underwater Robots
    • 5.2.3.7. Agricultural Robots
    • 5.2.3.8. Cleaning Robots
    • 5.2.3.9. Social Robots
  • 5.2.4. Vision Systems
    • 5.2.4.1. Cameras (RGB, Depth, Thermal, Event-based)
      • 5.2.4.1.1. RGB/Visible Light Cameras
      • 5.2.4.1.2. Depth Cameras
      • 5.2.4.1.3. Thermal Cameras
      • 5.2.4.1.4. Event-based Cameras
    • 5.2.4.2. CMOS Image Sensors vs. CCD Cameras
      • 5.2.4.2.1. Comparative Analysis
    • 5.2.4.3. Stereo Vision and 3D Perception
      • 5.2.4.3.1. Depth Calculation Methods
      • 5.2.4.3.2. 3D Reconstruction
    • 5.2.4.4. In-Camera Computer Vision
      • 5.2.4.4.1. Edge Processing
      • 5.2.4.4.2. Applications in Autonomous Vehicles
    • 5.2.4.5. Hyperspectral Imaging Sensors

6. END-USE INDUSTRY ANALYSIS

• 6.1. Automotive
  • 6.1.1. Opportunities and Challenges
  • 6.1.2. Applications
• 6.2. Electronics
  • 6.2.1. 3C Manufacturing Challenges
  • 6.2.2. Production Volume Requirements
  • 6.2.3. Quality Control
  • 6.2.4. Applications
  • 6.2.5. Testing and Inspection
  • 6.2.6. Packaging
• 6.3. Food and Beverage
  • 6.3.1. Industry Challenges and Requirements
  • 6.3.2. Product Variety
  • 6.3.3. Applications
    • 6.3.3.1. Palletizing
    • 6.3.3.2. Packaging
    • 6.3.3.3. Food Processing
• 6.4. Pharmaceutical
  • 6.4.1. Industry Requirements
  • 6.4.2. Applications
• 6.5. Emerging Industrial Applications
  • 6.5.1. Additive manufacturing integration
  • 6.5.2. Flexible manufacturing systems
  • 6.5.3. Lights-out manufacturing
  • 6.5.4. Mass customization robotics

7. MARKET DRIVERS AND RESTRAINTS

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

8. EMERGING TRENDS AND DEVELOPMENTS

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

9. CHALLENGES AND OPPORTUNITIES

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

10. FUTURE OUTLOOK

• 10.1. Technology Roadmap (2025-2046)
  • 10.1.1. Short-term Developments (2025-2030)
  • 10.1.2. Medium-term Developments (2030-2035)
  • 10.1.3. Long-term Developments (2035-2046)
• 10.2. Industry Convergence Opportunities
  • 10.2.1. Robotics and AI
  • 10.2.2. Robotics and IoT
  • 10.2.3. Robotics and Advanced Manufacturing
• 10.3. Robotics and the Future of Work
  • 10.3.1. Job Transformation
  • 10.3.2. New Skill Requirements
  • 10.3.3. Human-Robot Collaboration Models

11. COMPANY PROFILES (120 company profiles)

12. REFERENCES

List of Tables

• Table 1. Robot Categorization
• Table 2. Global Unit Sales Forecast 2023-2046 (Million Units), Total
• Table 3. Global Unit Sales Forecast 2023-2046 (Million USD)
• Table 4. Key Market Drivers and Restraints for Advanced Robotics
• Table 5. Robot Density in Manufacturing 2020-2024
• Table 6. Growth of Robot Users 2020-2024
• Table 7. Growth of Robot Stock by Sector 2020-2024
• Table 8. Performance Parameters of Humanoid Robots
• Table 9. Three Phases of Cobot Adoption
• Table 10. Six Stages of Human-Robot Interaction (HRI)
• Table 11. Traditional Industrial Robots vs. Collaborative Robots
• Table 12. Benefits and Drawbacks of Cobots
• Table 13. Safety Requirements for Cobots
• Table 14. Comparison of Sensing Technologies
• Table 15. Navigation Sensors for Autonomous Mobility
• Table 16. Parameter Comparison - Payload vs. Speed
• Table 17. Leading Companies by Robot Type
• Table 18. Major Industrial Robot Manufacturers
• Table 19. Service Robot Companies
• Table 20. Collaborative Robot (Cobot) Manufacturer
• Table 21. AI Robotics Companies
• Table 22. Sensor and Component Developers
• Table 23. End Effector Suppliers
• Table 24. Humanoid Robot Developers
• Table 25. Global Robotics Investment by Funding Category 2015-2024 (Billions USD)
• Table 26. Industrial Robotics Funding by Technology Type 2014-2024
• Table 27. Recent investments in advanced robotics companies
• Table 28. Venture Capital Funding of Robotics Startups
• Table 29. Classification of Robot Types
• Table 30. Three Phases of Robot Adoption
• Table 31. Evolution from Industrial to Service Robots
• Table 32. Key AI Methods for Robotics
• Table 33. Deep Learning Approaches
• Table 34. Convolutional Neural Networks in Robotics
• Table 35. Image Recognition Technologies
• Table 36. Multi-sensor Integration in Advanced Robotics
• Table 37. Advanced Materials in Advanced Robotics
• Table 38. Types of metals commonly used in advanced robots
• Table 39. Types of plastics and polymers commonly used in advanced robots
• Table 40. Types of composites commonly used in advanced robots
• Table 41. Types of elastomers commonly used in advanced robots
• Table 42. Types of smart materials in advanced robotics
• Table 43. Types of textiles commonly used in advanced robots
• Table 44. Types of ceramics commonly used in advanced robots
• Table 45. Biomaterials commonly used in advanced robotics
• Table 46. Types of nanomaterials used in advanced robotics
• Table 47. Types of coatings used in advanced robotics
• Table 48. Flexible and soft materials
• Table 49. Edge Computing in Advanced Robotics
• Table 50. Local Processing vs. Cloud Computing
• Table 51. Typical Sensors for Object Detection
• Table 52. Camera-based Detection Technologies for Advanced Robotics
• Table 53. LiDAR-based Detection Technologies for Advanced Robotics
• Table 54. Radar Systems for Advanced Robotics Object Detection
• Table 55. Ultrasonic Sensor Technologies for Advanced Robotics
• Table 56. Infrared and Thermal Sensor Technologies for Advanced Robotics
• Table 57. Technology Maturity Status Definitions
• Table 58. Readiness Level of Technologies by Application Sector
• Table 59. Regional Safety Standards in North America
• Table 60. Regional Safety Standards in Europe
• Table 61. Regional Safety Standards in Europe
• Table 62. Authorities Regulating Autonomous Driving
• Table 63. Regulations for Delivery Robots and Drones
• Table 64. Industrial Robot Regulations
• Table 65. Data Privacy and Security Regulations
• Table 66. Regional Differences in Regulations
• Table 67. Data Security Requirements
• Table 68. Global Market for Industrial Robots 2020-2046 (Million Units)
• Table 69. Global market for industrial robots 2020-2046 (Millions USD)
• Table 70. Global market for Cobots by revenues 2025-2046 (US$ Millions)
• Table 71. Global market for Cobots by payload capacity 2025-2046 (US$ Millions)
• Table 72. Global market for Cobots By Degrees of Freedom 2025-2046 (US$ Millions)
• Table 73. Global market for Cobots By End-Effector Type 2025-2046(US$ Millions)
• Table 74. Global market for Humanoid Robots by type 2025-2046 (Million Units)
• Table 75. Global market for Humanoid Robots by Application 2025-2046 (Million Units)
• Table 76. Global Market for Mobile Robots 2020-2046 (Millions USD)
• Table 77. Global Market for Autonomous Mobile Robots (AMRs) 2025-2046 (Million Units)
• Table 78. Global Market for Automated Guided Vehicles (AGVs) 2025-2046 (Million Units)
• Table 79. Global Market for Grid-Based Automated Guided Carts (AGCs) 2025-2046 (Million Units)
• Table 80. Global Market for Mobile Picking Robots 2025-2046 (Million Units)
• Table 81. Global Market for Mobile Manipulators 2025-2046 (Million Units)
• Table 82. Global Market for Last-Mile Delivery Robots 2025-2046 (Million Units)
• Table 83. Global Market for Heavy-Duty L4 Autonomous Trucks 2025-2046 (Million Units)
• Table 84. Global Market for Robotics Navigation and Mapping 2025-2046 (Billions USD)
• Table 85. Global Market for Robotics Object Recognition and Tracking 2025-2046 (Billions USD)
• Table 86. Global Market for Robotics Manipulation Technologies 2025-2046 (Billions USD)
• Table 87. Global Market for Human-Robot Interaction Technologies 2025-2046
• Table 88. Global Market for Robotics Artificial Intelligence 2025-2046 (Billions USD)
• Table 89. Global Market for Robotics Sensors 2025-2046 (Billions USD)
• Table 90. Global Market for Robotics Actuators 2025-2046 (Billions USD)
• Table 91. Global Market for Robotics Power Systems 2025-2046 (Billions USD)
• Table 92. Global Market for Robotics Control Systems 2025-2046 (Billions USD)
• Table 93. Global Market for Robotics End-Effectors 2025-2046 (Billions USD)
• Table 94. Global Market for Robotics Control Software 2025-2046 (Billions USD)
• Table 95. Global Market for Robotics Perception Software 2025-2046 (Billions USD)
• Table 96. Global Market for Robotics Human-Machine Interfaces 2025-2046 (Billions USD)
• Table 97. Global Market for Robotics Installation and Integration Services 2025-2046 (Billions USD)
• Table 98. Global Market for Robotics Maintenance and Support Services 2025-2046 (Billions USD)
• Table 99. Global Market for Advanced Robotics in Manufacturing 2025-2046 (Thousands of Units)
• Table 100. Global Market for Advanced Robotics in Logistics and Warehousing 2025-2046 (Thousands of Units)
• Table 101. Market for Advanced Robotics in North America 2020-2046 (1000 units, by Robot Type)
• Table 102. Market for Advanced Robotics in Europe 2020-2046 (1000 units, by Robot Type)
• Table 103. Market for Advanced Robotics in Japan 2020-2046 (1000 units, by Robot Type)
• Table 104. Market for Advanced Robotics in China 2020-2046 (1000 units, by Robot Type)
• Table 105. Market for Advanced Robotics in China 2020-2046 (1000 units, by End-Use Industry)
• Table 106. Market for Advanced Robotics in India 2020-2046 (1000 units, by Robot Type)
• Table 107. Average Cost per Unit for Industrial Robots 2025-2046 (Thousands USD)
• Table 108. Average Cost per Unit for Collaborative Robots 2025-2046 (Thousands USD)
• Table 109. Average Cost per Unit for Service Robots 2025-2046 (Thousands USD)
• Table 110. Average Cost per Unit for Humanoid Robots 2025-2046 (Thousands USD)
• Table 111. Average Cost per Unit for Mobile Robots 2025-2046 (Thousands USD)
• Table 112. Average Cost for Robot Sensor Packages 2025-2046 (Thousands USD)
• Table 113. Average Cost for Robot Actuator and Power Systems 2025-2046 (Thousands USD)
• Table 114. Average Cost for Robot Computing and Control Systems 2025-2046 (Thousands USD)
• Table 115. Average Cost for Robot End-Effectors 2025-2046 (Thousands USD)
• Table 116. Payback Time for Advanced Robotics in Manufacturing 2025-2046 (Months)
• Table 117. Payback Time for Advanced Robotics in Logistics 2025-2046 (Months)
• Table 118. Payload and Speed Capabilities by Robot Type 2025-2046
• Table 119. Key Performance Metrics for Industrial Robots 2025-2046
• Table 120. Mobile Robots Performance Metrics
• Table 121. Key Performance Metrics for Collaborative Robots 2025-2046
• Table 122. Six Stages of Human-Robot Interaction (HRI)
• Table 123. Benefits and Drawbacks of Cobots
• Table 124. Safety Requirements for Cobots
• Table 125. Cobot Cost Analysis
• Table 126. Payload Summary of Cobots
• Table 127. Commercialized Cobots
• Table 128. Benchmarking Based on DoF, Payload, Weight
• Table 129. Price Categories of Cobots
• Table 130. Market Players in Collaborative Robots (Cobots)
• Table 131. AMR Navigation Technologies
• Table 132. Applications in Manufacturing for Humanoid Industrial Robots
• Table 133. Design Considerations for Humanoid Industrial Robots
• Table 134. Market Players in Humanoid Robots
• Table 135. Market Players in Mobile Robots
• Table 136. Articulated Robots Types and Applications
• Table 137. SCARA Robots Market Overview
• Table 138. Delta Robots Market Overview
• Table 139. Cartesian (Gantry) Robots Market Overview
• Table 140. Market Players in Robotic Arms (Delta, Cartesian/Gantry, SCARA)
• Table 141. Market Players in Robotic Grippers
• Table 142. Robot Software and Control Systems Market Overview
• Table 143. Rails Market Overview
• Table 144. Actuators for Cartesian Robots Market Overview
• Table 145. Market Players in Linear Motion Systems
• Table 146. Vision Systems Market Overview
• Table 147. Industrial Cameras Market Overview
• Table 148. LiDAR Market Overview
• Table 149. Sensors for Guidance/QC Market Overview
• Table 150. Vision Systems Market Players
• Table 151. AI Applications in Robotics
• Table 152. Machine Learning Techniques for Robotics
• Table 153. Typical Sensors Used for Robots
• Table 154. Sensors by Functions and Tasks
• Table 155. Sensors for Industrial Robotic Arms
• Table 156. Sensors for AGVs and AMRs
• Table 157. Sensors for Collaborative Robots
• Table 158. Sensors for Drones
• Table 159. Sensors for Service Robots
• Table 160. Sensors for Underwater Robots
• Table 161. Sensors for Agricultural Robots
• Table 162. Sensors for Cleaning Robots
• Table 163. Sensors for Social Robots
• Table 164. Cameras (RGB, Depth, Thermal, Event-based)
• Table 165. RGB/Visible Light Cameras
• Table 166. Depth cameras
• Table 167. Thermal cameras
• Table 168. Event-based cameras
• Table 169. CMOS Image Sensors vs. CCD Cameras
• Table 170. Edge Processing Technologies for Robotic Vision
• Table 171. In-camera Computer Vision in Autonomous Vehicles
• Table 172. Automotive Industry Robotics Opportunities and Challenges
• Table 173. Advanced Robotics Applications in Automotive Manufacturing
• Table 174. Miniaturization Challenges and Robotic Solutions in Electronics Manufacturing
• Table 175. Production Volume Challenges in Electronics Manufacturing
• Table 176. Quality Control Challenges in Electronics Manufacturing
• Table 177. Advanced Robotics in Electronics Component Assembly
• Table 178. Advanced Robotics in Electronics Testing and Inspection
• Table 179. Advanced Robotics in Electronics Packaging
• Table 180. Hygiene and Safety Requirements for Food Robotics
• Table 181. Product Variety Challenges in Food Robotics
• Table 182. Applications of Advanced Robots in Palletizing
• Table 183. Industry Requirements for Pharmaceutical Robotics
• Table 184. Applications of Advanced Robotics in Pharmaceuticals
• Table 185. Key Technologies for Additive Manufacturing Integration
• Table 186. Companies Implementing Additive Manufacturing Integration
• Table 187. Key Technologies for Flexible Manufacturing Systems
• Table 188. Companies Implementing Flexible Manufacturing Systems
• Table 189. Key Technologies Enabling Lights-Out Manufacturing
• Table 190. Companies Implementing Lights-Out Manufacturing
• Table 191. Key Technologies for Mass Customization Robotics
• Table 192. Companies Implementing Mass Customization Robotics
• Table 193. Swarm Robotics: Technologies and Approaches
• Table 194. Market Implementation Examples for Human-Robot Collaboration
• Table 195. Reinforcement Learning Applications for Self-Learning and Adaptive Robots
• Table 196. Robot-as-a-Service (RaaS) Subscription-based services
• Table 197. Pay-per-use models
• Table 198. Market adoption of Robot-as-a-Service
• Table 199. Materials and actuators
• Table 200. Control systems for soft robots
• Table 201. Brain-inspired computing architectures
• Table 202. Applications in Perception
• Table 203. Neuromorphic computing Energy Efficiency Benefits
• Table 204. Micro-nano robots medical applications
• Table 205. Industrial Applications of Micro-Nano Robots
• Table 206. BCIs in Robot Control Applications
• Table 207. Technologies and Designs in Mobile Cobots
• Table 208. Mobile Cobots in Industry
• Table 209. Sustainable Manufacturing
• Table 210. Implementation Examples
• Table 211. Sustainable Design Approaches in Low-Carbon Robotics Manufacturing
• Table 212. SLAM Advancements in Autonomous Navigation and Localization
• Table 213. LiDAR Innovations in Advanced Robotics
• Table 214. Computer Vision Advancements in Advanced Robotics
• Table 215. Sensor Fusion Approaches in Advanced Robotics
• Table 216. SAE Level 4-5 Regulations
• Table 217. Testing and Certification Requirements
• Table 218. Recent Regulatory Updates

List of Figures

• Figure 1. Industrial Robotics Landscape
• Figure 2. Global Market Size by Robot Type 2023-2046 (Million Units)
• Figure 3. Global Market Size by Robot Type 2023-2046 (Million USD)
• Figure 4. Historical progression of humanoid robots
• Figure 5. Robotics Evolution Timeline
• Figure 6. Service Robot in Japan
• Figure 7. Technology Readiness Levels (TRL) for Advanced Robotics
• Figure 8. Roadmap and Maturity Analysis by Industry
• Figure 9. Robot swarms
• Figure 10. System architecture of cloud robotics
• Figure 11. Micro-bot
• Figure 12. Robotics Technology Roadmap: Short-term Developments (2025-2030)
• Figure 13. Robotics Technology Roadmap: Medium-term Developments (2030-2035)
• Figure 14. Robotics Technology Roadmap: Long-term Developments (2035-2046)
• Figure 15. EVE/NEO
• Figure 16. RAISE-A1
• Figure 17. Agibot product line-up
• Figure 18. Digit humanoid robot
• Figure 19. ANYbotics robot
• Figure 20. Apptronick Apollo
• Figure 21. Aubo Robotics - i series
• 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. Prototype Ex-Robots humanoid robots
• Figure 29. F&P Personal Robotics - P-Rob
• Figure 30. Figure.ai humanoid robot
• Figure 31. Figure 02 humanoid robot
• Figure 32. GR-1
• Figure 33. Sophia
• Figure 34. Honda ASIMO
• Figure 35. Kaleido
• Figure 36. Forerunner
• Figure 37. Keyper
• Figure 38. KUKA - LBR iiwa series
• Figure 39. Kuafu
• Figure 40. CL-1
• Figure 41. MagicHand S01
• Figure 42. Monumental construction robot
• Figure 43. Neura Robotics - Cognitive Cobots
• Figure 44. Omron - TM5-700 and TM5X-700
• Figure 45. Tora-One
• Figure 46. HUBO2
• Figure 47. XBot-L
• Figure 48. Sanctuary AI Phoenix
• Figure 49. Pepper Humanoid Robot
• Figure 50. Astribot S1
• Figure 51. Staubli - TX2touch series
• Figure 52. Tesla Optimus Gen 2
• Figure 53. Toyota T-HR3
• Figure 54. UBTECH Walker
• Figure 55. G1 foldable robot
• Figure 56. WANDA
• Figure 57. Unitree H1
• Figure 58. CyberOne
• Figure 59. PX5