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| 1. | EXECUTIVE SUMMARY |
| 1.1. | Robot categorisation |
| 1.2. | Definition of service robots |
| 1.3. | Application areas of service robots |
| 1.4. | Categorisation of service robots |
| 1.5. | Market size of different types of service robots in 2032 |
| 1.6. | Geographical distribution of main players |
| 1.7. | Service robots - overview |
| 1.8. | Market size - Service robots by application: 2019-2032 |
| 1.9. | Unit sales - Service robots by application: 2019-2032 |
| 1.10. | Market size of logistics and delivery robots: 2019-2032 |
| 1.11. | Cleaning robots - overview |
| 1.12. | Cleaning robots by regions: 2018-2032 |
| 1.13. | Social robots - overview |
| 1.14. | Market size of social robots: 2019-2032 |
| 1.15. | Kitchen and restaurant robots - overview |
| 1.16. | Total market size for kitchen and restaurant robots: 2018-2032 |
| 1.17. | Underwater robots - overview |
| 1.18. | Underwater robots - Market size of different applications: 2018-2032 |
| 2. | SERVICE ROBOTICS - INTRODUCTION AND OVERVIEW |
| 2.1. | Evolution of robots - industrial to service robots |
| 2.2. | What are robots? |
| 2.3. | Two types of robots |
| 2.4. | What are service robots? |
| 2.5. | What is the market position of service robotics? |
| 2.6. | Number of service robot manufacturers of all types by region of origin |
| 2.7. | Consideration by market vertical |
| 2.8. | Potential uses of service robotics |
| 2.9. | Companies developing service robots |
| 3. | SERVICE ROBOTS FOR DELIVERY AND LOGISTICS |
| 3.1.1. | Challenges in the logistics and delivery industry |
| 3.1.2. | How can service robots be used in logistics? |
| 3.1.3. | Service robotics in logistics - overview |
| 3.1.4. | Typical applications and categories of service robots for delivery and logistics application |
| 3.1.5. | Acquisition |
| 3.1.6. | Regulation recent updates - for delivery vehicles |
| 3.2. | Intralogistics material transporting robots |
| 3.2.1. | Different types of mobile robotics in material handling |
| 3.2.2. | Different types of mobile robots in intralogistics material transporting |
| 3.2.3. | Automated Guide Vehicles & Carts (AGV/Cs) |
| 3.2.4. | Grid-based automated guided carts (grid-based AGC) |
| 3.2.5. | Autonomous Mobile Robots(AMRs) |
| 3.2.6. | Comparison of technologies |
| 3.2.7. | Sensors for object detection |
| 3.2.8. | Transition to AGVs and AMRs |
| 3.2.9. | AGV/Cs vs. AMRs |
| 3.2.10. | Key market players analysis |
| 3.2.11. | Players - Leading Companies for AGVs |
| 3.2.12. | Players - Leading Companies for grid-based AGC |
| 3.2.13. | Players - Leading Companies for AMR |
| 3.2.14. | Forecasts |
| 3.2.15. | Forecast - market size of intralogistics material transporting |
| 3.3. | Mobile picking robots |
| 3.3.1. | Two forms of mobile picking robots on the current market |
| 3.3.2. | Market players |
| 3.3.3. | HAI Robotics |
| 3.3.4. | Exotec Systems |
| 3.3.5. | InVia Robotics |
| 3.3.6. | Magazino |
| 3.3.7. | Applications of mobile picking manipulators |
| 3.3.8. | Fetch Robotics |
| 3.3.9. | Youibot |
| 3.3.10. | Forecasts |
| 3.3.11. | Forecasts - mobile picking robots: 2019-2032 |
| 3.4. | Autonomous last mile delivery |
| 3.4.1. | What is last mile delivery? |
| 3.4.2. | Why autonomous last mile delivery? |
| 3.4.3. | How can the items be autonomously delivered in the last mile? |
| 3.4.4. | Comparison: ground-based vehicles vs. drones |
| 3.4.5. | Technologies |
| 3.4.6. | Sensors |
| 3.4.7. | Localisation and mapping |
| 3.4.8. | Vehicle connection |
| 3.4.9. | Technologies for ground-based delivery vehicles: restrictions |
| 3.4.10. | Technologies for drones: sensors |
| 3.4.11. | Regulations - for delivery vehicles |
| 3.4.12. | Market players |
| 3.4.13. | Players - autonomous delivery ground-based vehicles |
| 3.4.14. | Players - autonomous delivery drones |
| 3.4.15. | Forecast |
| 3.4.16. | Market revenue forecasts for autonomous last-mile delivery robots: 2019-2032 |
| 4. | DISINFECTION ROBOTS AND CLEANING ROBOTS |
| 4.1. | Introduction |
| 4.1.1. | What are cleaning robots? |
| 4.1.2. | Cleaning robots inspired by the Pandemic - disinfection robots |
| 4.1.3. | Disinfection robot - reduce healthcare-associated infection in hospitals |
| 4.1.4. | Increasing attention from venture capitals and increasing number of companies and sales |
| 4.1.5. | A note on technology readiness levels (TRLs) |
| 4.1.6. | Readiness level of different technologies in different application sectors |
| 4.1.7. | Categorization of cleaning robots |
| 4.2. | Key enabling technologies, supply chain and key players |
| 4.2.1. | Key components of floor cleaning robots |
| 4.2.2. | Evolution of disinfection technologies |
| 4.2.3. | Cleaning efficiency - autonomous mobility |
| 4.2.4. | Cleaning efficiency - end-effector systems |
| 4.2.5. | Direct interaction: SWOT analysis |
| 4.2.6. | Indirect interaction: SWOT analysis |
| 4.2.7. | Path planning |
| 4.2.8. | LDS (Laser Distance Sensor) SLAM and vSLAM |
| 4.2.9. | Obstacle avoidance techniques - comparison |
| 4.2.10. | Window and wall cleaning robots - safety and reliability |
| 4.2.11. | Key players by geography |
| 4.2.12. | Robotic cleaning vs traditional cleaning |
| 4.3. | Drivers and barriers |
| 4.3.1. | Driver - increasing automation in household appliances |
| 4.3.2. | Driver - cost-saving and big potential market |
| 4.3.3. | Driver - Covid and high efficiency of cleaning robots |
| 4.3.4. | Barrier - decreased spending on consumer electronics |
| 4.3.5. | Barrier - noises and frequent maintenance |
| 4.3.6. | Barrier - chip shortage and higher price |
| 4.3.7. | Key takeaways - drivers and barriers |
| 4.4. | Manual cleaning vs. non-UV-based vs. UV-based disinfection robots |
| 4.4.1. | Manual cleaning vs. non-UV-based cleaning robots vs. UV-based disinfection robots |
| 4.4.2. | Diffusion of innovations of technologies - five stages |
| 4.4.3. | Manual cleaning vs. non-UV-based cleaning robots vs. UV-based disinfection robots |
| 4.4.4. | Comparison of different mopping robots for home use |
| 4.5. | Applications and featured companies |
| 4.5.1. | Disinfection robots |
| 4.5.2. | Winter Olympics 2022 |
| 4.5.3. | Geek+ - Jasmin - China |
| 4.5.4. | Fetch Robotics & Build with Robots - Breezy One - USA |
| 4.5.5. | UV-based disinfection robots for ICUs and hospitals |
| 4.5.6. | UV light and UV-based disinfection robot |
| 4.5.7. | GlobalDWS - Disinfection Service Robot (DSR) - Canada |
| 4.5.8. | Evolve Raybotix - Evolve Raybotix Sol/Eos/Neo - UK |
| 4.5.9. | Floor cleaning robots |
| 4.5.10. | Brain Corp - USA - BrainOS® |
| 4.5.11. | RoboDeck - Israel - deck cleaning robots |
| 4.5.12. | TASKI - USA - Swingobot 2000 |
| 4.5.13. | iRobot - USA |
| 4.5.14. | iRobot Roomba and Braava families |
| 4.5.15. | Ecovacs Robotics - China |
| 4.5.16. | Ecovacs Robotics - DEEBOT 710 |
| 4.5.17. | Window and wall cleaning robots |
| 4.5.18. | Ecovacs - WINBOT 920 |
| 4.6. | Market forecast |
| 4.6.1. | Historic market performance of robotic vacuum cleaner |
| 4.6.2. | Domestic cleaning robots by regions: 2018-2032 |
| 4.6.3. | Professional cleaning robots by regions: 2018-2032 |
| 4.6.4. | Cleaning robots by regions: 2018-2032 |
| 4.6.5. | Cleaning robots - market share by regions: 2018-2032 |
| 5. | SOCIAL ROBOTS |
| 5.1. | Introduction |
| 5.1.1. | What are social robots? |
| 5.2. | Applications |
| 5.2.1. | Application - Hospitability industry |
| 5.2.2. | Application - Hospitability industry - Winter Olympics |
| 5.2.3. | Application - others (e.g., space companion, sex companion) |
| 5.2.4. | Key takeaways |
| 5.3. | Key enabling technologies |
| 5.3.1. | Appearance - physical features and control systems |
| 5.3.2. | Design specifications of several commercialized robots |
| 5.3.3. | Functionality - Human-robot interaction |
| 5.3.4. | Voice-based workflow - NLP, NLU and NLG |
| 5.3.5. | Multimodalities-based interaction workflow |
| 5.3.6. | Safety requirements - sensors, navigations and localization systems |
| 5.3.7. | LiDAR - what are the options available in the market? |
| 5.3.8. | Overview of technologies in social robot - LOVOT by Groove X |
| 5.3.9. | Technical specifications - LOVOT |
| 5.3.10. | Emerging sensors for social robots - Softbank Pepper |
| 5.3.11. | Touch sensors - capacitive touch sensing technologies introduction |
| 5.3.12. | Capacitive sensors: Operating principle |
| 5.3.13. | Hybrid capacitive / piezoresistive sensors |
| 5.3.14. | Emerging current mode sensor readout: Principles |
| 5.3.15. | Benefits of current-mode capacitive sensor readout |
| 5.3.16. | SWOT analysis of capacitive touch sensors |
| 5.3.17. | The potential trend in social robots - haptic feedback |
| 5.3.18. | Power systems - Lithium ion battery |
| 5.4. | Market analysis and business insights |
| 5.4.1. | Regulations - different attitudes on social robots |
| 5.4.2. | Data privacy and data security - high correlation across different data types |
| 5.4.3. | Social robots - fundamentally unethical? |
| 5.4.4. | Key company analysis |
| 5.4.5. | Geographical distribution of main players |
| 5.4.6. | Educational and therapeutic robot by Movia Robotics |
| 5.4.7. | Embodied, Inc. - Moxie - USA |
| 5.4.8. | Embodied, Inc. - SWOT analysis |
| 5.4.9. | Groove X - LOVOT - Japan |
| 5.4.10. | Market analysis |
| 5.4.11. | Market forecast for medical treatment by regions: 2019-2032 |
| 5.4.12. | Market forecast by application for hospitality industry: 2018-2032 |
| 5.4.13. | Market size of social robot in hospitality (2022 vs. 2032) |
| 5.4.14. | Market size of social robot: 2019-2032 |
| 6. | SERVICE ROBOTS FOR AGRICULTURE |
| 6.1. | Introduction |
| 6.1.1. | Major challenges in the agricultural industry |
| 6.1.2. | How can service robots be used in agriculture? |
| 6.1.3. | Geographical distribution of main players |
| 6.2. | Weeding and seeding robots |
| 6.2.1. | Most commercial field robots are used for weeding |
| 6.2.2. | Dino by Naïo Technologies |
| 6.2.3. | GEN-2 by Ekobot |
| 6.3. | Fully autonomous tractors and carriers |
| 6.3.1. | Tractor autosteer - a first step towards autonomy |
| 6.3.2. | Semi-autonomous "follow-me" tractors |
| 6.3.3. | Fully autonomous driverless tractors |
| 6.3.4. | Autonomous tractor concepts developed by the major tractor companies |
| 6.3.5. | When will fully autonomous tractors be ready? |
| 6.3.6. | AgBot by AgXeed |
| 6.4. | Agricultural drones |
| 6.4.1. | Drones: application pipeline |
| 6.4.2. | Agricultural UAVs/drones: main applications |
| 6.4.3. | Agricultural drones: key considerations |
| 6.4.4. | Aerial imaging in farming |
| 6.4.5. | Drones vs. satellites vs. aeroplanes |
| 6.4.6. | Where does drone spraying have regulatory approval? |
| 6.4.7. | Commercially available spraying drones |
| 6.5. | Forecasts |
| 6.5.1. | Agricultural robotics, market forecast by robot category |
| 7. | SERVICE ROBOTS IN KITCHENS AND RESTAURANTS |
| 7.1. | Introduction |
| 7.1.1. | What are kitchen and restaurant robots? |
| 7.1.2. | Current challenges in the foodservice industry and proposed solutions - labor issue |
| 7.1.3. | Current challenges in the foodservice industry and proposed solutions - external factors |
| 7.1.4. | Current challenges in the foodservice industry and proposed solutions - COVID |
| 7.2. | Kitchen robots (robot chefs) |
| 7.2.1. | Advantages of kitchen robots - drivers |
| 7.2.2. | Advantages of kitchen robots - drivers |
| 7.2.3. | Ideal application scenarios for kitchen robots |
| 7.2.4. | Application: Winter Olympics |
| 7.2.5. | Application: Winter Olympics - robotic bartender |
| 7.2.6. | Challenge - high price and long payback time |
| 7.2.7. | Challenge - technology adjustment to meet volume demand |
| 7.2.8. | Key takeaways |
| 7.3. | Restaurant robots |
| 7.3.1. | What are restaurant robots? |
| 7.3.2. | Workflow of the restaurant robots (robot waiters) |
| 7.3.3. | Value chain of restaurant robots |
| 7.3.4. | Value chain in detail |
| 7.3.5. | Advantage - short payback time and high efficiency |
| 7.3.6. | Barriers |
| 7.4. | Key enabling technologies |
| 7.4.1. | Major players - geographical distribution |
| 7.4.2. | Player - Pudu Robotics - China |
| 7.4.3. | Quantum Robotics - Amy - Australia |
| 7.4.4. | Bear Robotics - Servi - USA |
| 7.4.5. | Moley Robotics - UK |
| 7.5. | Forecast |
| 7.5.1. | Market segmentation by regions and types of restaurants: 2019-2032 |
| 7.5.2. | Market segmentation by regions and types of restaurants: 2019-2032 - trend visualization |
| 7.5.3. | Kitchen robot (robotic chef) market size: 2018-2032 |
| 7.5.4. | Kitchen robot - market share by region: 2022-2032 |
| 7.5.5. | Restaurant robot (robotic waiter) market size: 2018-2032 |
| 7.5.6. | Restaurant robot (robotic waiter) market share by region: 2018-2032 |
| 7.5.7. | Number of sales for kitchen and restaurant robots: 2022-2032 |
| 8. | UNDERWATER ROBOTS |
| 8.1. | Introduction |
| 8.1.1. | What are underwater robots? |
| 8.1.2. | Overview of underwater robots |
| 8.2. | Applications |
| 8.2.1. | Application - military applications |
| 8.2.2. | Application - resources exploration |
| 8.2.3. | Application - offshore wind stations |
| 8.2.4. | Application - offshore wind power foundations and underwater cable detection and recycling |
| 8.2.5. | Application - hole detection (hydropower stations, underwater tunnels) |
| 8.2.6. | Application - aquaculture |
| 8.2.7. | Application - environment and marine species monitoring |
| 8.3. | Challenges |
| 8.3.1. | Challenges for underwater robots |
| 8.3.2. | Challenges - Underwater power supply and connection |
| 8.3.3. | Challenges - underwater navigation and sensing |
| 8.3.4. | Challenges of underwater robots - prices and costs |
| 8.4. | Key enabling technologies |
| 8.4.1. | AUV vs. ROV |
| 8.4.2. | Value chain of underwater robots |
| 8.4.3. | Key technologies - sensing and navigation |
| 8.4.4. | Sensors for underwater robots |
| 8.4.5. | Navigation and localization technologies |
| 8.4.6. | Localization and navigation for underwater robots |
| 8.4.7. | Inertial and dead-reckoning |
| 8.4.8. | Drawbacks of dead-reckoning and inertial navigation |
| 8.4.9. | Acoustic ranging |
| 8.4.10. | Sonars |
| 8.4.11. | Sonars |
| 8.4.12. | Geophysical Navigation |
| 8.4.13. | Gravity Navigation and Geomagnetic Navigation |
| 8.4.14. | Optical sensing for underwater robots |
| 8.4.15. | Localisation and navigation for underwater robots |
| 8.4.16. | Flowchart of achieving guidance and navigation |
| 8.4.17. | Core technology requirements and enablers |
| 8.4.18. | Takeaways - technologies, applications and challenges |
| 8.5. | ROV and AUV players |
| 8.5.1. | Kongsberg - HUGIN |
| 8.5.2. | Sublue |
| 8.5.3. | Bluefin Robotics |
| 8.5.4. | AUV DeDAvE - Fraunhofer |
| 8.5.5. | Boya Gongdao (Beijing) Robot Technology |
| 8.5.6. | Boya Gongdao - ROBO-ROV SEALION and MANATEE |
| 8.5.7. | More featured companies and AUVs |
| 8.5.8. | Daewoo Shipbuilding & Marine Engineering and ECA SA |
| 8.6. | UG and HROV players |
| 8.6.1. | Seaglider M6 |
| 8.6.2. | Seaglider by Falmouth Scientific Inc. |
| 8.7. | Forecasts |
| 8.7.1. | Market size of different applications: 2015-2032 |
| 8.7.2. | Market share of different applications |
| 9. | SUMMARY |
| 9.1. | Overview of the service robot market by application 2019-2032 |
| 9.2. | Market share of different applications: 2019-2032 |
| 9.3. | A few examples of regulations and regulatory bodies |
| 9.4. | What is the next step? Who are the winners? |
| 9.5. | Who are the slow movers? |
| 9.6. | Overall summary |
| Slides | 355 |
|---|---|
| Forecasts to | 2032 |