1. | EXECUTIVE SUMMARY |
1.1. | Collaborative robots (Cobots) |
1.2. | Three phases of cobot adoption |
1.3. | 6 stages of human-robot interaction (HRI) |
1.4. | Traditional industrial robots vs. collaborative robots |
1.5. | Benefits of industrial robots vs. collaborative robots |
1.6. | Benefits of cobots - key takeaways |
1.7. | Drawbacks of cobots - key takeaways |
1.8. | Safety requirement for cobots - five main types |
1.9. | Cobot market size forecast by 12 end-user industries: 2025-2045 |
1.10. | Cobot market size forecast tables by 12 industries and tasks: 2025-2045 |
1.11. | Cobot volume forecast by end-user tasks and industries: 2025-2045 |
1.12. | Cobot volume forecast tables by end-user industry and task: 2025-2045 |
1.13. | Cobot volume forecast by task: 2025-2045 |
1.14. | Cobot volume forecast table by task: 2025-2045 |
1.15. | Overview of commercialized cobots |
1.16. | Overview of cobots by weight and payload |
1.17. | Payload Summary of Cobots |
1.18. | Cobot Cost Analysis |
1.19. | Industry 5.0 - transformative vision for EU |
1.20. | Robotics evolution |
1.21. | Collaborative robots drive industry 5.0 - future factory |
1.22. | Low-carbon society commitment from big robot manufacturers |
1.23. | Cobot historic market size: 2019-2024 |
1.24. | Mobile cobot market size forecast: 2025-2045 |
1.25. | Cobot volume forecast by region: 2025-2045 |
1.26. | Cobot volume forecast table by region: 2025-2045 |
1.27. | Categorization of end-effectors |
1.28. | Overview of end-effectors |
1.29. | Cobot end-effectors market size forecast: 2025-2045 |
1.30. | Overview of the market - lack of differentiation and market opportunities |
1.31. | Roadmap of Cobots |
1.32. | Roadmap and Maturity Analysis of Cobots by Industry |
1.33. | Overview of market drivers |
1.34. | Overview of the OEMs and suppliers |
1.35. | Global competitive landscape |
1.36. | Differentiations of cobots |
2. | INTRODUCTION |
2.1. | Definitions of the key terms |
2.2. | Definitions of the key terms |
2.3. | Leading cobot manufacturers and recent collaboration |
2.4. | Typical performance and cost characteristics of collaborative robotic arms |
2.5. | The rise of 'collaborative' robotic arms: filling a market gap |
2.6. | Spacing sharing & safeguarding: traditional vs collaborative |
2.7. | Type of assembly operation |
2.8. | Six stages of human-robot collaboration |
2.9. | Stage One - what is not a collaborative robot? |
2.10. | Stage Two - what is not a collaborative robot? |
2.11. | Stage Three - laser scanner separation |
2.12. | Stage Four - shared workspace no virtual guarding |
2.13. | Stage Five - operators and robots working together |
2.14. | Stage Six - Autonomous mobile collaborative robots |
2.15. | Degrees of collaboration: spatial and/or temporal separation |
2.16. | Single or dual arms? |
2.17. | Safety requirement for cobots - five main types |
2.18. | Safety requirement - understanding biomechanical limit criteria |
2.19. | Safety requirement for cobots - Power and force limiting |
2.20. | Safety requirement for cobots - Speed and separation monitoring and safety monitored stop |
2.21. | Safety requirement for cobots - hand guiding |
2.22. | Safety requirement for cobots - soft impact design |
2.23. | Robot safety standards of different regions |
2.24. | Robot safety standards of different regions |
3. | COBOT PLAYERS AND BENCHMARKING |
3.1. | Benchmarking |
3.1.1. | Key terms and performances expected from cobots |
3.1.2. | Benchmarking of robots based on DoF, payload, weight, repeatability, reach, price, payload to weight ratio and ease of programming |
3.1.3. | Benchmarking of robots based on DoF, payload, weight, repeatability, reach, price, payload to weight ratio and ease of programming |
3.1.4. | Benchmarking of robots based on DoF, payload, weight, repeatability, reach, price, payload to weight ratio and ease of programming |
3.1.5. | Benchmarking of robots based on DoF, payload, weight, repeatability, reach, price, payload to weight ratio and ease of programming |
3.1.6. | Benchmarking of cobots - Degree of Freedom (DoF) = 6 |
3.1.7. | Benchmarking of cobots - Degree of Freedom (DoF) = 7 |
3.1.8. | Comparison of cobots - DoF = 6 |
3.1.9. | Average price per cobot by company - low-cost cobots |
3.1.10. | Average price per cobot by company - medium-cost cobots |
3.1.11. | Average price per cobot by company - high-cost cobots |
3.1.12. | Porter's Five Force Analysis |
3.2. | Differentiation Analysis of Cobots |
3.2.1. | Lack of Differentiation Across Cobots |
3.2.2. | Cobot Comparison |
3.2.3. | How to assess the performance of cobots |
3.3. | Cobot Players Analysis |
3.3.1. | An overview of the value chain |
3.3.2. | Major players - Switzerland |
3.3.3. | Major players - Germany |
3.3.4. | Major players - Japan |
3.3.5. | Major players - USA |
3.3.6. | Major players - Canada |
3.3.7. | Major players - China |
3.3.8. | Major players - China |
3.3.9. | Major players - Others |
3.3.10. | ABB - YuMi |
3.3.11. | ABB - YuMi |
3.3.12. | ABB - GoFa |
3.3.13. | ABB - SWIFTI CRB 1100-4/0.475 and CRB 1100-4/0.58 |
3.3.14. | KUKA - LBR iiwa series |
3.3.15. | KUKA - LBR iisy and iiQKA Ecosystem |
3.3.16. | Fanuc |
3.3.17. | Fanuc - CR (collaborative robots) series - CR-4iA, CR-7iA, and CR-7iA/L |
3.3.18. | Fanuc - CR (collaborative robots) series - CR-14iA/L, CR-15iA, CR-35iA, CRX-10iA and CRX-10iA/L |
3.3.19. | Aubo Robotics - i series |
3.3.20. | i-series - i16 and i20 |
3.3.21. | i-series - i3, i5, and i10 |
3.3.22. | DOBOT - CR series |
3.3.23. | CR3, CR5, and CR10 |
3.3.24. | CR16 and M1 Pro |
3.3.25. | End-effectors and other accessories - DOBOT |
3.3.26. | Stäubli - TX2touch series |
3.3.27. | TX2touch-60 series |
3.3.28. | TX2touch-90 series |
3.3.29. | Yuanda Robotics - Yuanda robot |
3.3.30. | Yuanda robot - Yu |
3.3.31. | Universal Robots |
3.3.32. | Universal Robots - UR(x)e series |
3.3.33. | Universal Robots - UR3e |
3.3.34. | Universal Robots - UR5e |
3.3.35. | Universal Robots - UR10e |
3.3.36. | Universal Robots - UR16e |
3.3.37. | Universal Robots - UR20 |
3.3.38. | Universal Robots - UR30 |
3.3.39. | Universal Robots - system specifications |
3.3.40. | Techman Robot |
3.3.41. | SWOT - Techman Robot |
3.3.42. | Omron |
3.3.43. | Omron - TM5-700 and TM5X-700 |
3.3.44. | Omron - TM5-900 and TM5X-900 |
3.3.45. | Omron - TM12 and TM12X |
3.3.46. | Omron - TM14 and TM14X |
3.3.47. | F&P Personal Robotics |
3.3.48. | SWOT - F&P Personal Robotics |
3.3.49. | F&P Personal Robotics - P-Rob |
3.3.50. | F&P Personal Robotics - Lio |
3.3.51. | Kawasaki Heavy Industries |
3.3.52. | duAro series |
3.3.53. | Neura Robotics - Cognitive Cobots |
4. | COBOTS BY INDUSTRIES |
4.1. | Market Landscape Overview |
4.1.1. | Roadmap of Cobots |
4.1.2. | Overview of Drivers |
4.1.3. | Roadmap and Maturity Analysis of Cobots by Industry |
4.1.4. | Cobot - Technical Pain Point - Not Just a Robot but the Integration of an Entire System |
4.1.5. | System Integration of Cobots |
4.2. | Automotive Industry |
4.2.1. | Opportunities for collaborative robots in the automotive manufacturing industry |
4.2.2. | Five challenges for SMEs |
4.2.3. | Five challenges for SMEs |
4.2.4. | Challenges of automotive manufacturing |
4.2.5. | The trend for Audi and Volkswagen digitization |
4.2.6. | Fast increase of cobots usage in the upcoming decade because of policy and company strategy |
4.2.7. | Fast increase of cobots usage - China |
4.2.8. | COVID highlights the supply chain fragility and accelerate the cobot usage |
4.2.9. | SWOT analysis of cobots in the APAC automotive industry |
4.2.10. | SWOT analysis of cobots in the North American automotive industry |
4.2.11. | More details of applications scenarios in the automotive manufacturing industry |
4.2.12. | Case study: OPEL's engine assembly line with the aid of UR-cobots |
4.2.13. | Case study: PSA's smart factory |
4.2.14. | Case study: Ford - seam sealant injection |
4.2.15. | Case study: Zippertubing |
4.2.16. | Summary for automotive manufacturing |
4.2.17. | Robotic Charging |
4.2.18. | Cobot sales volume forecast in automotive industry |
4.2.19. | Unit sales forecast of cobots for the automotive industry |
4.3. | Food and Beverage Industry |
4.3.1. | Challenges and requirements of 21st food and Fast-Moving Consumer Goods (FMCG) industry |
4.3.2. | Challenges and requirements of 21st food and (FMCG) industry - key takeaways |
4.3.3. | SWOT analysis of cobots in the food and beverage industry - Europe |
4.3.4. | SWOT analysis of cobots in the food and beverage industry - Asia |
4.3.5. | SWOT analysis of cobots in the food and beverage industry - North America |
4.3.6. | Cobots for food and beverage industry are used for different purposes and tasks |
4.3.7. | Case study: Nortura - palletizing |
4.3.8. | Case study: Atria Scandinavia - packaging |
4.3.9. | Forecast of cobots in the food and beverage industry |
4.3.10. | Conclusion and outlook for cobots in the food and beverage industry |
4.3.11. | Conclusion and outlook for cobots in the food and beverage industry |
4.4. | Electronics |
4.4.1. | Challenges of 3C manufacturing in electronics |
4.4.2. | Case study - Melecs EWS |
4.4.3. | Main market is in China, and main tasks include picking and placing, palletizing, and quality inspection |
4.4.4. | Cobots volume forecast in the electronics industry: 2025-2045 |
4.4.5. | Cobots volume forecast table in the electronics industry: 2025-2045 |
4.4.6. | Summary for 3C manufacturing |
4.5. | Hospitality and healthcare |
4.5.1. | Challenges on the hospitality and healthcare industry |
4.5.2. | Cobots in the medical field |
4.5.3. | Cobots in the healthcare industry - key takeaways |
4.6. | Cobots in the Li-ion Industry |
4.6.1. | Overview of cobots in the Li-ion manufacturing |
4.6.2. | Benefits of cobots in the Li-ion manufacturing |
4.6.3. | TOPSIS Analysis |
4.6.4. | TOPSIS Analysis for Cobot Selection |
4.6.5. | Use Cases - Fanuc America |
4.6.6. | Integrating AI into cobots for better EV battery inspection |
4.6.7. | Li-ion battery defects detection - Nissan Leaf 2011 |
4.6.8. | Comparison of robot and cobot capabilities for battery module inspection |
4.6.9. | Time Reduction Enabled by Cobots |
4.6.10. | Overview of cobots in the end-of-life Li-ion recycling for Nissan Leaf 2011 |
4.6.11. | EV battery disassembly process |
4.6.12. | Challenges in computer vision for dismantling during disassembly |
4.6.13. | Technical Pain Points of Cobots in Li-ion Battery Industry |
4.6.14. | Commercial Pain Points of Cobots in Li-ion Battery Industry |
4.6.15. | Yearly Volume Forecasts of Cobots in EV Li-ion Battery: 2024-2044 |
4.6.16. | Yearly Revenue Forecasts of Cobots in EV Li-ion Battery: 2024-2044 |
4.7. | Cobots in the photovoltaic Industry |
4.7.1. | Overview of Cobots in the Photovoltaic Industry |
4.7.2. | Use Case - Robotic Assembly of Photovoltaic Arrays (1) |
4.7.3. | Use Case - Robotic Assembly of Photovoltaic Arrays (2) |
4.7.4. | Use Case: Cobotic welding tool for improved quality |
4.7.5. | Barriers and solutions of cobots in the photovoltaic industry |
4.8. | Cobots in the semiconductor industry |
4.8.1. | Emerging sector: cobots in semiconductor industry |
4.8.2. | Photomask Processing - Use Case |
4.8.3. | Cobots in cleanroom - technical requirements and barriers |
4.8.4. | Requirements of cobots used in cleanroom |
4.8.5. | Future Trends of cobots in the semiconductor industry |
5. | COBOTS BY TASKS |
5.1. | Picking and Placing |
5.1.1. | Picking and placing |
5.1.2. | Machine tending |
5.1.3. | Benefits and ROI for machine tending |
5.1.4. | Packaging and palletizing |
5.1.5. | Cobots volume forecast in packaging and palletizing: 2025-2045 |
5.1.6. | Cobots market size forecast in packaging and palletizing: 2025-2045 |
5.2. | Material Handling |
5.2.1. | Processing tasks |
5.2.2. | Finishing tasks |
5.2.3. | Forecast of cobots market size and volume for surface processing: 2025-2045 |
5.2.4. | Forecast table of cobots for surface processing: 2025-2045 |
5.3. | Quality inspection |
5.3.1. | Quality inspection |
5.3.2. | Cobots market size forecast in chip quality inspection: 2025-2045 |
5.4. | Summary of different tasks |
5.4.1. | Roadmap and Maturity Analysis of Cobots by Industry |
5.4.2. | Payback time/ROI by tasks |
5.4.3. | Pain points and solutions for cobot adoption |
5.4.4. | Barriers for cobot adoption |
6. | KEY TECHNOLOGIES AND COMPONENTS IN COBOTS |
6.1. | Overview |
6.1.1. | Sensor-based control |
6.1.2. | Typical sensors used for collaborative robots |
6.1.3. | Flexible force/pressure sensors used for robotic soft grippers |
6.1.4. | Brief introduction of technologies for tactile sensors in soft grippers |
6.1.5. | Piezoresistive vs. Piezoelectric vs. Capacitive technologies |
6.1.6. | What are printed piezoresistive sensors? |
6.1.7. | What is piezoresistance? |
6.1.8. | SWOT: Piezoresistive sensors |
6.1.9. | Capacitive sensors |
6.1.10. | Tactile sensors |
6.1.11. | Capacitive proximity and tactile sensors - AIDIN Robotics |
6.1.12. | Time-of-flight (ToF) sensors |
6.1.13. | Challenges with traditional force sensors |
6.1.14. | Force sensing - FRANKA EMIKA |
6.1.15. | Robotic visual and force sensing |
6.1.16. | Torque sensors |
6.1.17. | Vision systems for cobots |
6.1.18. | Vision systems in robots |
6.1.19. | AIRSKIN |
6.1.20. | AIRSKIN - further details |
6.1.21. | SWOT - AIRSKIN |
6.1.22. | AIDIN Robotics |
6.1.23. | SWOT - AIDIN Robotics |
6.1.24. | Tacterion |
6.1.25. | SWOT - Tacterion |
6.1.26. | Bruker Alicona |
6.1.27. | SWOT - Bruker Alicona |
6.1.28. | FRANKA EMIKA |
6.2. | End-Effectors |
6.2.1. | What are end-effectors and how are they used in different applications? |
6.2.2. | Examples of the applications of end-effectors |
6.2.3. | How to categorize end-effectors? |
6.2.4. | How to categorize end-effectors? |
6.2.5. | How do end-effectors change the robot and cobot industry? |
6.2.6. | How do end-effectors change the robot and cobot industry? |
6.2.7. | ROBOTIQ |
6.2.8. | OnRobot |
6.2.9. | SWOT - OnRobot |
6.2.10. | Schmalz |
6.3. | Grippers |
6.3.1. | Grippers - categorization based on actuation types |
6.3.2. | Grippers with rigid fingers |
6.3.3. | Soft grippers |
6.3.4. | Actuation technologies for soft grippers |
6.3.5. | Comparison of rigid and soft grippers |
6.3.6. | Vacuum grippers |
6.3.7. | Vacuum grippers - suction cup selection |
6.3.8. | Magnetic grippers |
6.3.9. | Emerging technologies: tactile sensors |
6.3.10. | End-Effector - Suction Cups |
6.4. | Surface Processing Tools |
6.4.1. | Surface finishing |
6.4.2. | Surface finishing with cobots could be ideal for SMEs |
6.4.3. | Case study - ROBOTIQ surface finishing kit |
6.5. | Computing platforms |
6.5.1. | NVIDIA Isaac |
6.5.2. | AMD - SOM |
6.5.3. | Software and AI features - Universal Robots |
6.5.4. | SWOT - AMD - SOM |
6.6. | OEMs and Component Suppliers |
6.6.1. | Key components and accessories |
6.6.2. | Overview of the OEMs and suppliers |
6.6.3. | List of OEMs and suppliers |
6.6.4. | List of OEMs and suppliers |
6.6.5. | List of OEMs and suppliers |
6.6.6. | List of OEMs and suppliers |
6.6.7. | End-effectors by OEM |
6.6.8. | Price of end-effectors by type |
6.7. | Emergence of mobile cobots |
6.7.1. | What are mobile cobots? |
6.7.2. | Mobile collaborative robots - benefits |
6.7.3. | Mobile collaborative robots - overview of limitations |
6.7.4. | Applications of mobile cobots |
6.7.5. | Mobile cobots - gaps and mismatches in accuracy |
6.7.6. | Robotnik |
6.7.7. | Other challenges of mobile cobots |
6.7.8. | Collaboration of mobile robot suppliers and cobot suppliers |
6.7.9. | Mobile collaborative robots market size forecast: 2025-2045 |
6.8. | Integration of AI in Cobots |
6.8.1. | Overview of AI-Driven Cobots |
6.8.2. | Cognitive Cobots - Neurac Robotics |
7. | TECHNICAL AND COMMERCIAL BARRIERS AND SOLUTIONS |
7.1. | Commercial Barrier - Metrics to Consider |
7.2. | Technical Barriers - Metrics to Consider |
8. | FORECASTS |
8.1. | Methodology and assumptions for forecasts |
8.2. | Illustration of S-curve |
8.3. | Historic cobot market size: 2019-2024 (what are the COVID impacts)? |
8.4. | Cobot market size forecast: 2025-2045 |
8.5. | Cobot volume sales forecast: 2025-2045 |
8.6. | Market share of cobots (volume) by regions: 2019-2043 |
8.7. | Market share of cobots (revenue) by regions: 2025-2045 |
8.8. | Regional Cobot Volume Forecast: 2025-2045 |
8.9. | Cobots Volume Forecast for APAC: 2025-2045 |
8.10. | Cobots Volume Forecast for Europe: 2025-2045 |
8.11. | Cobots Volume Forecast for North America: 2025-2045 |
8.12. | Cobot revenue forecast by regions: 2025-2045 |
8.13. | Mobile collaborative robots market size forecast: 2025-2045 |
8.14. | Cobot end-effectors market size forecast: 2025-2045 |
8.15. | Cobot volume forecast in automotive industry: 2025-2045 |
8.16. | Cobot volume forecast in the automotive industry: 2025-2045 |
8.17. | Cobots in chip quality inspection |
8.18. | Cobots volume forecast for chip quality inspection: 2025-2045 |
8.19. | Market size forecast of cobots by 12 applications: 2025-2045 |
8.20. | Cobot market forecast (US$ millions) tables by end-user industry: 2025-2045 |
8.21. | Cobot volume forecast (thousands) by end-user industry: 2025-2045 |
8.22. | Cobot market forecast tables by end-user industry - Volume (thousands) |
8.23. | Volume forecast of cobots by tasks: 2025-2045 |
8.24. | Cobot volume forecast table by tasks: 2025-2045 |
9. | PROFILES |
9.1. | ABB |
9.2. | AIRSKIN |
9.3. | AMD Xilinx — KR260 Starter Kit for Various Robotic Applications |
9.4. | Bruker Alicona |
9.5. | Denso — New Market Player in the Cobot Industry |
9.6. | F&P Personal Robotics |
9.7. | Franka Emika |
9.8. | Kassow Robots |
9.9. | Kawasaki — Industrial Robots and Tactile Skin on Cobots |
9.10. | KUKA — Solutions to Cobots, Digitalisation, and Sustainability |
9.11. | Neura Robotics |
9.12. | Omron — Cobot with an End-Camera |
9.13. | OnRobot A/S |
9.14. | Robotnik |
9.15. | Stäubli — Demonstrating a Full Solution for Future Factories |
9.16. | Tacterion |
9.17. | Techman Robot — A Major Cobot Player |
9.18. | Universal Robots — The Largest Cobot Player |
9.19. | Vikaso Robotics |
9.20. | Yaskawa — Leading Player of Industrial and Collaborative Robots |