Robots de service 2026-2036 : technologies, acteurs et marchés
Une évaluation technologique et commerciale de l'industrie des robots de service, y compris les robots de logistique et de livraison, les robots sociaux, les robots de nettoyage, les robots agricoles, les robots de cuisine, les robots de recherche et de sauvetage, les robots de construction et les robots sous-marins
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Service robots continue to gain traction across multiple sectors, driven by advances in mobility, perception, AI, and cost reductions. IDTechEx's new report provides a comprehensive assessment of the global service robot market, examining major applications including delivery and logistics robots, cleaning and disinfection robots, social robots, agricultural robots, kitchen and restaurant robots, underwater robots, search and rescue robots and construction and demolition robots. The report evaluates key enabling technologies, market dynamics, competitive landscapes, and forward-looking opportunities, supported by granular 10-year regional forecasts.
Unlike traditional industrial robots that operate in structured environments, service robots are designed to interact with people and perform tasks in everyday settings. Their applications span from warehouse automation and hospitality services to agriculture and marine inspection. The stage of commercialization still varies significantly by application, but in the long term IDTechEx forecasts sustained, long-term growth. IDTechEx's report segments these robots based on application maturity, technical difficulty, and market drivers.
Logistics and cleaning robots are the largest markets for service robots, while underwater robots and, to a lesser extent, kitchen and restaurant robots, remain more niche. Source: Service Robots 2026-2036
Delivery and Logistics Robots
Automation in logistics and warehousing remains the largest and most established segments of the service robot market. Mobile robots, last-mile delivery vehicles, and logistics-focused drones are now widely deployed to support the movement of goods across distribution centres, campuses, retail environments, and controlled public spaces. Logistics also proves a very topical use case for humanoid robots.
Typically having low to moderate technical complexity and clearly defined return-on-investment pathways, logistics robots are among the strongest growth drivers across the service robot market. Adoption is supported by advances in computer vision, autonomous software, and mapping technologies, enabling higher operating speeds and fewer human interventions.
Cleaning and Disinfection Robots
Cleaning and disinfection robots remain the second largest category of service robots. They include both domestic and professional systems, with professional cleaning robots seeing the fastest growth due to their ability to cover large commercial areas and reduce labour dependency. Approaches range from physical scrubbing mechanisms to non-contact cleaning technologies such as UV-C disinfection.
While pandemic-specific demand has normalized, long-term structural drivers, particularly staffing shortages and operational efficiency requirements in commercial real estate, hospitality, and healthcare, continue to support adoption.
Social Robots
Social robots are designed for direct human interaction. Primary applications include hospitality, retail, education, and healthcare. In environments such as airports and hospitals, social robots are increasingly used for navigation assistance, check-in support, and visitor guidance.
Healthcare remains a particularly promising field, especially for cognitive support and therapeutic applications. Robots can provide structured routines, social engagement, and memory reinforcement for people experiencing cognitive decline. However, ethical considerations and regulatory frameworks continue to shape the pace of deployment. Questions around emotional authenticity, data security, and psychological impacts on vulnerable users mean that wider adoption will require careful oversight and standardisation.
Agricultural Robots
Agricultural robots represent an emerging but strategically important segment of the service robot market. These systems aim to address rising labour constraints and pressure to increase food production efficiency. Applications include robotic harvesting, precision spraying, weeding, and crop monitoring.
Agricultural environments pose unique challenges: uneven terrain, variable weather, and limited connectivity. These factors increase hardware requirements and slow the standardization of solutions. Additionally, the agricultural sector's typically thin profit margins can limit willingness to invest in high-cost robotic systems. Nevertheless, continued investment in computer vision, grippers, and autonomous navigation, particularly for specialty crops, is expected to unlock new adoption over the forecast period.
Restaurant and Kitchen Robots
Restaurant robots (robotic waiters) and kitchen robots (robotic chefs) have gained visibility due to persistent labour shortages and the need for consistency in food preparation. These robots can optimise space usage, reduce waste, and support predictable quality in high-volume settings such as quick-service restaurants.
High upfront costs remain a significant barrier. Small and medium-sized operators, who make up the majority of the food service market, typically face tight margins and limited financing options. The emergence of more affordable robots and robotics-as-a-service (RaaS) will drive future uptake. Interest remains strong in fully or semi-automated food preparation modules for highly standardized environments, which will see wider commercial adoption between 2026 and 2036.
Underwater Robots
Underwater robots are used for inspection, surveying, scientific research, and defence. In the civil sector, applications include aquaculture monitoring, pipeline inspection, and marine habitat research.
Underwater environments introduce significant technical challenges: limited visibility, communication constraints, and exposure to marine life. These require sophisticated sensor packages including sonar, pressure sensors, acoustic altimeters, and advanced navigation algorithms. As a result, underwater robots remain relatively expensive. Despite these constraints, demand is projected to increase throughout the next decade, driven by infrastructure monitoring needs and expanding offshore industries.
Search and Rescue Robots
Search and rescue robots are gaining attention as climate-related disasters and extreme weather events become more frequent. These robots are designed to operate in hazardous, unpredictable environments where human access is limited, such as collapsed buildings, flooded zones, and wildfire areas. Equipped with specialised sensors, thermal imaging, and robust locomotion systems, they can navigate debris, identify survivors, and relay critical situational data to responders.
Although still an emerging market, the technical requirement for high reliability and ruggedness positions search and rescue robots as a distinct segment within the broader service robot industry.
Construction and Demolition Robots
Construction and demolition robots occupy another emerging category with strong long-term potential. As the construction industry faces sustained labour shortages and safety concerns, robots capable of performing repetitive, high-risk tasks, such as drilling, bricklaying, surface preparation, or controlled demolition, are increasingly seen as practical supplements to human labour.
Autonomy in construction environments remains technically demanding due to dynamic layouts and variable site conditions. However, semi-autonomous and collaborative systems are already demonstrating value, primarily for demolition applications.
Conclusions
The service robot market is growing rapidly towards widespread commercial adoption across multiple industries. IDTechEx's Service Robots 2026-2036 report highlights both the diversity of applications and the uneven maturity levels across segments. While logistics, cleaning, and select indoor service applications lead the market, emerging areas such as agricultural robotics, underwater systems, search and rescue robots, and construction and demolition robots present substantial long-term opportunities.
Key Aspects
This report provides the following information:
Technology, player analysis, application trends & analysis including:
- Service robots in delivery and logistics including key applications (e.g., intralogistics material transporting, mobile picking, and autonomous last mile delivery), and technologies (e.g., cameras, radar, LiDAR, ultrasonic sensors, etc.)
- Disinfection robots and cleaning robots including professional and private applications, technologies (e.g., navigation systems, path planning algorithms, laser distance sensor SLAM and visual SLAM, obstacle avoidance sensors, etc.), COVID impacts, and barriers to adoption.
- Social robots for medical treatments, education, and hospitality. Key design features of social robots such as physical features, sensors, and human-robot interaction surfaces (e.g., touch sensors, cameras, IMU, LiDAR, GPS, machine vision, natural language processing, capacitive sensors, etc). Regulations and ethical arguments of social robots.
- Agricultural robots including the current challenges of the agricultural industry, different applications of agricultural robots (weeding, seeding, autonomous tractors and carriers, and drones).
- Search and rescue robots, including land and air applications, advantages and disadvantages.
- Construction and demolition robots, key types and applications and market analysis.
- Kitchen and restaurant robots: key technologies including LiDAR, low cameras, radar, and IMU. Drivers and barriers include operational costs and high upfront costs, low technical robustness, long payback time, etc.
- Underwater robots for applications such as research and exploration, dam/tunnel/turbine detection, marine monitoring, and aquaculture. To deal with difficult operating conditions, key technologies for underwater robots are introduced in the report including sonars, gravity navigation, geomagnetic navigation, optical sensing, batteries, sensors fusion, and acoustic ranging.
10 Year Granular Market Forecasts & Analysis:
- Delivery and logistics robots for different applications (intralogistics material transporting, mobile picking robots, autonomous last mile delivery).
- Cleaning robots for both professional and domestic uses with identifying the changes in regional market shares.
- Three different applications of social robots including medical treatment, hospitality industry, and education and recreation.
- Agricultural robots by robot categories including milking robots, autonomous tractors and implement carriers, drones, weeding & seeding robots, and harvesting robots.
- Kitchen and restaurant robots by region including APAC, Europe, North America, and the rest of the world (RoW). A 10-year analysis of the change in market share, number of unit sales of kitchen and restaurant robots.
- Underwater robots for 6 applications including aquaculture, dam inspection, tunnel inspection, cable/pipeline inspection, wind turbine inspection, and research and development.
- Six types of service robots including delivery & logistics robots, disinfection and cleaning robots, social robots, agricultural robots, kitchen & restaurant robots, and underwater robots.
- Construction and demolition robots.
- Search and rescue robots on land and air.
| Report Metrics | Details |
|---|---|
| Historic Data | 2020 - 2025 |
| CAGR | The global market for service robots will exceed US$120 billion by 2036, representing a CAGR of approximately 13%. |
| Forecast Period | 2026 - 2036 |
| Forecast Units | Units, US$ Millions |
| Regions Covered | Worldwide, All Asia-Pacific, North America (USA + Canada), Europe |
| Segments Covered | Logistics robots, cleaning robots, kitchen robots/robotic chefs, restaurant robots/robotic waiters, social robots, agricultural robots, underwater robots, search and rescue robots, construction and demolition robots. |
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Further information
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| 1. | EXECUTIVE SUMMARY |
| 1.1. | Robot categorization: Industrial vs service robots |
| 1.2. | Definition of service robots |
| 1.3. | Global labor shortages 2024 |
| 1.4. | Application areas of service robots |
| 1.5. | Categorization of service robots |
| 1.6. | What applications does this report cover? |
| 1.7. | Service robots - overview |
| 1.8. | Companies Developing Service Robots |
| 1.9. | Overview of the service robot market by application 2025-2036 |
| 1.10. | Acquisitions and mergers: Mobile robots |
| 1.11. | Status and market potential of different cleaning applications |
| 1.12. | Social robots: Overview of applications |
| 1.13. | Key advantages of search and rescue robots |
| 1.14. | Key players in the construction and demolition robots market |
| 1.15. | Agricultural robotics market forecast by robot category 2023-2036 |
| 1.16. | Advantage - short payback time and high efficiency |
| 1.17. | Kitchen robots: Market segmentation by region 2023-2036 |
| 1.18. | Underwater robots: Market size of different applications 2023-2036 |
| 1.19. | Vision Language Action (VLA) Models for Robotics |
| 1.20. | Advantages of different SLAM approaches and IDTechEx's take |
| 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. | Service robotics in logistics - overview |
| 3.1.2. | What are Mobile Robots? |
| 3.1.3. | Workforce challenges in the logistics and delivery industry |
| 3.1.4. | Global labor shortages 2024 |
| 3.1.5. | Major impact factors for the current market of logistics mobile robots |
| 3.1.6. | Why Mobile Robots? |
| 3.1.7. | How can mobile service robots be used in logistics? |
| 3.1.8. | How can mobile robots be used in logistics? |
| 3.1.9. | Typical applications and categories of service robots for delivery and logistics application |
| 3.1.10. | Overview of regional players |
| 3.1.11. | Acquisitions and mergers: Mobile robots |
| 3.1.12. | Regulatory Updates: USA |
| 3.1.13. | Regulatory Updates: China |
| 3.1.14. | Regulatory Updates: UK and EU |
| 3.1.15. | Regulatory Updates: Japan and South Korea |
| 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) - (1) |
| 3.2.6. | Autonomous Mobile Robots(AMRs) - (2) |
| 3.3. | Comparison of technologies |
| 3.3.1. | Sensors for object detection |
| 3.3.2. | Transition to AGVs and AMRs |
| 3.3.3. | Transition of navigation technologies |
| 3.3.4. | Mobile robots vs fixed automation |
| 3.3.5. | Mobile robots vs fixed automation |
| 3.3.6. | Why use mobile robots in warehouses? |
| 3.3.7. | AGV/Cs vs AMRs |
| 3.3.8. | AGV/Cs vs AMRs |
| 3.3.9. | Technology evolution towards fully autonomous independent mobile robots |
| 3.4. | Key market players analysis |
| 3.4.1. | Overview of regional players |
| 3.4.2. | Regional player distribution - as of 2023 |
| 3.4.3. | Players - Funding |
| 3.4.4. | Players - Leading Companies for AGVs |
| 3.4.5. | Players - Leading Companies for grid-based AGC |
| 3.4.6. | Players - Leading Companies for AMR |
| 3.5. | Forecasts |
| 3.5.1. | Forecast - market size of intralogistics material transporting |
| 3.6. | Mobile picking robots |
| 3.6.1. | Two forms of mobile picking robots on the current market |
| 3.6.2. | Case-picking robots |
| 3.6.3. | Case-picking robots |
| 3.6.4. | Comparison: Grid-based AGCs and multi-layer case-picking robots |
| 3.6.5. | Comparison: Grid-based AGCs and multi-layer case-picking robots |
| 3.6.6. | Comparison: Grid-based AGCs and multi-layer case-picking robots |
| 3.6.7. | Navigation technologies of case-picking robots |
| 3.6.8. | Mobile manipulators |
| 3.6.9. | Manipulator picking algorithm evolution |
| 3.6.10. | Players - case-picking robots & mobile picking manipulators |
| 3.7. | Market players |
| 3.7.1. | Players - case-picking mobile robots |
| 3.7.2. | Players - mobile picking manipulators |
| 3.7.3. | Hybrid mobile manipulator |
| 3.7.4. | HAI Robotics |
| 3.7.5. | HAI Robotics |
| 3.7.6. | Geek+ |
| 3.7.7. | Exotec Systems |
| 3.7.8. | Exotec Systems |
| 3.7.9. | InVia Robotics |
| 3.7.10. | Magazino |
| 3.7.11. | Magazino |
| 3.7.12. | BionicHive |
| 3.7.13. | Caja Robotics |
| 3.8. | Applications of mobile picking manipulators |
| 3.8.1. | Fetch Robotics |
| 3.8.2. | Youibot |
| 3.8.3. | IAM Robotics |
| 3.8.4. | IAM Robotics |
| 3.8.5. | Youibot |
| 3.9. | Forecasts |
| 3.9.1. | Forecasts - mobile picking robots: 2019-2032 |
| 3.10. | Autonomous last mile delivery |
| 3.10.1. | Why autonomous last mile delivery? |
| 3.10.2. | Autonomous last mile delivery |
| 3.10.3. | Comparison: Ground-based vehicles vs drones |
| 3.10.4. | Comparison: Ground-based vehicles vs drones |
| 3.10.5. | What is last mile delivery? |
| 3.10.6. | Last mile delivery: The most expensive part |
| 3.10.7. | Why autonomous last mile delivery? |
| 3.10.8. | Supporting infrastructure |
| 3.10.9. | Decentralized warehouse infrastructure to meet e-commerce demands? |
| 3.10.10. | "Last meter" delivery: Robot delivery to doorsteps |
| 3.10.11. | Autonomous last mile delivery |
| 3.10.12. | Comparison: Ground-based vehicles vs drones |
| 3.10.13. | Comparison: Ground-based vehicles vs drones |
| 3.11. | Technologies |
| 3.11.1. | Technologies for ground-based delivery vehicles: Sensors |
| 3.11.2. | Localisation and mapping |
| 3.11.3. | Vehicle connection |
| 3.11.4. | Technologies for ground-based delivery vehicles: Restrictions |
| 3.11.5. | Technologies for drones: Sensors (1) |
| 3.11.6. | Regulations - for delivery vehicles |
| 3.11.7. | Regulatory Updates: USA |
| 3.11.8. | Regulatory Updates: China |
| 3.11.9. | Regulatory Updates: UK and EU |
| 3.11.10. | Regulatory Updates: Japan and South Korea |
| 3.11.11. | Technologies for ground-based delivery vehicles: Localisation and mapping |
| 3.11.12. | Technologies for ground-based delivery vehicles: Vehicle connection |
| 3.11.13. | Technologies for drones: Two forms of design |
| 3.11.14. | Technologies for drones: Sensors |
| 3.11.15. | Technologies for drones: Restrictions |
| 3.12. | Regulations |
| 3.12.1. | Regulations - for delivery vehicles |
| 3.12.2. | Summary of drone regulations by country |
| 3.13. | Market players |
| 3.13.1. | Players - funding of last-mile start-ups |
| 3.13.2. | Players - regional distribution by number |
| 3.13.3. | Players - What do they deliver now? |
| 3.13.4. | Players - autonomous delivery ground-based vehicles |
| 3.13.5. | Players - autonomous delivery drones |
| 3.14. | Forecast |
| 3.14.1. | Market revenue forecasts for autonomous last-mile delivery robots: 2023-2036 |
| 3.15. | Humanoid Robots |
| 3.15.1. | Humanoid robotics overview |
| 3.15.2. | Why humanoid robots and what is the difference between humanoid robots and specialized robots? |
| 3.15.3. | What is accelerating the adoption of humanoid robots? |
| 3.15.4. | What is holding back the adoption of humanoid robots? |
| 3.15.5. | Leading players enter the space of humanoid robotics |
| 3.15.6. | Partnerships and adoption |
| 3.16. | Logistics industry |
| 3.16.1. | Introduction to humanoid robots in logistics industry |
| 3.16.2. | Benefits and challenges of humanoid robots in the logistics industry |
| 3.16.3. | Agility Robotics - leading humanoid robot player in the logistics industry |
| 3.16.4. | Cooperative area for humanoid robots used in warehouses - safety challenge |
| 3.16.5. | BYD - UBTech's last mile delivery with humanoid robots |
| 3.16.6. | GXO and Apptronik |
| 3.16.7. | Figure's Helix: Humanoid robotics in logistics |
| 3.16.8. | Estimated timeline of tasks handled by humanoid robots in the logistics industry |
| 3.17. | Regulatory and commercial challenges |
| 3.17.1. | Concerns: Safety, regulation, and data privacy |
| 3.17.2. | Regional regulations for humanoid robots |
| 3.18. | Forecasts |
| 3.18.1. | Humanoid Robots in Logistics Unit Sales: 2023-2036 |
| 3.18.2. | Humanoid Robots in Logistics Market Size 2023-2036 |
| 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. | Status and market potential of different cleaning applications |
| 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. | The navigation system of robotic vacuum cleaner |
| 4.2.8. | Path planning |
| 4.2.9. | LDS (Laser Distance Sensor) SLAM and vSLAM |
| 4.2.10. | Obstacle avoidance techniques - comparison |
| 4.2.11. | Window and wall cleaning robots - safety and reliability |
| 4.2.12. | Key players by geography |
| 4.2.13. | 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 - noise and frequent maintenance |
| 4.3.6. | Barrier - chip shortages 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. | Manual cleaning vs non-UV-based cleaning robots vs UV-based disinfection robots |
| 4.4.3. | Diffusion of innovations of technologies: Five stages |
| 4.4.4. | Manual cleaning vs non-UV-based cleaning robots vs UV-based disinfection robots |
| 4.4.5. | Comparison of different mopping robots for home use |
| 4.5. | Applications and featured companies |
| 4.6. | Disinfection Robots |
| 4.6.1. | Winter Olympics 2022 |
| 4.6.2. | Geek+ - Jasmin - China |
| 4.6.3. | Fetch Robotics & Build with Robots - Breezy One - USA |
| 4.6.4. | UV-based disinfection robots for ICUs and hospitals |
| 4.6.5. | UV light and UV-based disinfection robot |
| 4.6.6. | GlobalDWS - Disinfection Service Robot (DSR) - Canada |
| 4.6.7. | Evolve Raybotix - Evolve Raybotix Sol/Eos/Neo - UK |
| 4.7. | Floor Cleaning Robots |
| 4.7.1. | Brain Corp - USA - BrainOS® |
| 4.7.2. | Brain Corp SWOT |
| 4.7.3. | RoboDeck: Deck Cleaning Robots |
| 4.7.4. | RoboDeck SWOT |
| 4.7.5. | TASKI - USA - Swingobot 2000 |
| 4.7.6. | iRobot - USA |
| 4.7.7. | iRobot Roomba and Braava families |
| 4.7.8. | Ecovacs Robotics - China |
| 4.7.9. | Ecovacs Robotics - DEEBOT 710 |
| 4.7.10. | Ecovacs Robotics - DEEBOT 710 |
| 4.8. | Window and Wall Cleaning Robots |
| 4.8.1. | Ecovacs - WINBOT 920 |
| 4.8.2. | HOBOT |
| 4.9. | Market Forecast |
| 4.9.1. | Market and Technical Difficulties of Different Robots |
| 4.9.2. | Domestic cleaning robots by regions: 2023-2036 |
| 4.9.3. | Professional cleaning robots by regions: 2023-2036 |
| 4.9.4. | Cleaning robots by regions: 2023-2036 |
| 5. | SOCIAL ROBOTS |
| 5.1. | Introduction |
| 5.1.1. | What are Social Robots? |
| 5.1.2. | Why Social Robots? |
| 5.1.3. | Why Social Robots? |
| 5.1.4. | Supply Chain Analysis |
| 5.2. | Applications |
| 5.2.1. | Overview of Applications |
| 5.2.2. | Overview of Applications |
| 5.2.3. | Application - Social and Medical Support (Autism) |
| 5.2.4. | Application - Education - Potential Market |
| 5.2.5. | Application - Hospitability Industry |
| 5.2.6. | Social Robots in Hospitality: Advantages and Disadvantages |
| 5.2.7. | Application - Hospitability industry - Winter Olympics |
| 5.2.8. | Application - Hospitability Industry - Munich Olympics |
| 5.2.9. | Application - Others (e.g., Space Companion, Sex Companion) |
| 5.2.10. | Key Takeaways |
| 5.3. | Key Enabling Technologies |
| 5.3.1. | Overview of Technologies and Design Requirements |
| 5.3.2. | Appearance - Physical Features and Control Systems |
| 5.3.3. | Design Specifications of Commercialized Robots |
| 5.3.4. | Functionality - Human-robot interaction |
| 5.3.5. | Human-Robot Interaction - Voice-Based & Text-Based Interaction Workflow |
| 5.3.6. | Voice-Based Workflow - NLP, NLU and NLG |
| 5.3.7. | Multimodalities-Based Interaction Workflow |
| 5.3.8. | Safety requirements - sensors, navigations and localization systems |
| 5.3.9. | Potential trend in technology - sensing technologies |
| 5.3.10. | Robotic Sensing: Why now? |
| 5.3.11. | LiDAR: Historical Options? |
| 5.3.12. | LiDAR price analysis |
| 5.3.13. | Overview of technologies in social robot - LOVOT by Groove X |
| 5.3.14. | Technical specifications - LOVOT |
| 5.3.15. | Emerging sensors for social robots - Softbank Pepper |
| 5.3.16. | Touch sensors - capacitive touch sensing technologies introduction |
| 5.3.17. | Capacitive sensors: Operating principle |
| 5.3.18. | Hybrid capacitive / piezoresistive sensors |
| 5.3.19. | Emerging current mode sensor readout: Principles |
| 5.3.20. | Benefits of current-mode capacitive sensor readout |
| 5.3.21. | SWOT analysis of capacitive touch sensors |
| 5.3.22. | The potential trend in social robots - haptic feedback |
| 5.3.23. | 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. | Porters' five forces analysis of social robot market |
| 5.5. | Key company analysis |
| 5.5.1. | Geographical distribution of main players |
| 5.5.2. | Movia Robotics: Educational and Therapy Bot |
| 5.5.3. | Movia Robotics SWOT |
| 5.5.4. | Embodied, Inc. Moxie, USA (Discontinued) |
| 5.5.5. | Embodied, Inc Moxie |
| 5.5.6. | The Discontinuation of Moxie |
| 5.5.7. | Groove X - LOVOT - Japan |
| 5.5.8. | Groove X: Lovot SWOT |
| 5.5.9. | Softbank Robotics: Pepper |
| 5.6. | Market Analysis |
| 5.6.1. | Market forecast for medical treatment by regions: 2023-2036 |
| 5.6.2. | Market forecast by application for hospitality industry: 2018-2032 |
| 5.6.3. | Market size of social robots: 2023-2036 |
| 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. | From manned, broadcast spraying towards autonomous precision weeding |
| 6.2.3. | Technology progression towards autonomous, ultra precision de-weeding |
| 6.2.4. | Autonomous weeding robots by Vitirover |
| 6.2.5. | Dino by Naïo Technologies |
| 6.2.6. | GEN-2 by Ekobot |
| 6.2.7. | Fully autonomous tractors and carriers |
| 6.2.8. | Technology progression towards driverless autonomous large-sized tractors |
| 6.2.9. | Tractor guidance and autosteer technology for large tractors |
| 6.2.10. | Tractor autosteer - a first step towards autonomy |
| 6.2.11. | Semi-autonomous "follow-me" tractors |
| 6.3. | Fully autonomous driverless tractors |
| 6.3.1. | Autonomous tractor concepts developed by the major tractor companies |
| 6.3.2. | John Deere |
| 6.3.3. | CNH Industrial and Bluewhite |
| 6.3.4. | Kubota |
| 6.3.5. | When will fully autonomous tractors be ready? |
| 6.3.6. | Technology Developments of Autonomous Tractors |
| 6.3.7. | eTrac by Farmertronics |
| 6.3.8. | eTrac-20 and Sales Progression |
| 6.3.9. | AgBot by AgXeed |
| 6.3.10. | AgBot T2 7 Series (2025) |
| 6.4. | Agricultural drones |
| 6.4.1. | Drones: Application pipeline |
| 6.4.2. | Agricultural Drone Industry Value Chain (1) |
| 6.4.3. | Agricultural Drone Industry Value Chain (2) |
| 6.4.4. | Agricultural Drone Industry Value Chain (3) |
| 6.4.5. | Agricultural UAVs/drones: Main applications |
| 6.4.6. | Agricultural drones: Key considerations |
| 6.4.7. | Aerial imaging in farming |
| 6.4.8. | Mainstream Agricultural Drone Types |
| 6.4.9. | Comparison of sensors used in drone imaging |
| 6.4.10. | Drones vs satellites vs aeroplanes |
| 6.4.11. | Where does drone spraying have regulatory approval? |
| 6.4.12. | Commercially available spraying drones |
| 6.4.13. | Agricultural drones: Company landscape |
| 6.4.14. | Agricultural Spraying Drones - Pesticide and Fertilizer |
| 6.4.15. | Drones in Crop Monitoring and Analysis |
| 6.4.16. | Radar in Agriculture - Sarmap |
| 6.4.17. | Cranfield University - Soil Moisture Monitoring with UAV-Radar |
| 6.4.18. | Commercially Available Agricultural Crop Monitoring Drones |
| 6.4.19. | Commercially Available Agricultural Crop Monitoring Drones |
| 6.4.20. | Comparison of Sensors Used In Drone Imaging |
| 6.4.21. | Comparison of sensors used in drone imaging |
| 6.4.22. | EU Progress on Agri-Drone Management |
| 6.4.23. | US Progress on Agri-Drone Management |
| 6.4.24. | China Progress on Agri-Drone Management |
| 6.4.25. | Agricultural Drone Pesticide Management in Europe - ISO 23117-1:2023 / ISO 23117-2:2025 (1) |
| 6.4.26. | Agricultural Drone Pesticide Management in Europe - ISO 23117-1:2023 / ISO 23117-2:2025 (2) |
| 6.4.27. | Fruit picking drones by Tevel Aerobotics Technologies |
| 6.4.28. | CropHopper by HayBeeSee |
| 6.4.29. | Digital Monitoring in Vertical Farming |
| 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 legacy |
| 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. | The 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. | Sensory systems |
| 7.4.2. | Sensory systems |
| 7.4.3. | SLAM - Simultaneous localization and mapping |
| 7.4.4. | Major players - geographical distribution |
| 7.4.5. | Pudu Robotics: China |
| 7.4.6. | Pudu Robotics SWOT |
| 7.4.7. | Quantum Robotics - Amy - Australia |
| 7.4.8. | Quantum Robotics SWOT |
| 7.4.9. | Bear Robotics - Servi - USA |
| 7.4.10. | Moley Robotics - UK |
| 7.5. | Forecast |
| 7.5.1. | Market segmentation by regions: 2023-2036 |
| 7.5.2. | Kitchen robot (robotic chef) market size: 2018-2032 |
| 7.5.3. | Restaurant robot (robotic waiter) market size: 2023-2036 |
| 7.5.4. | Number of sales for kitchen robots: 2023-2036 |
| 7.5.5. | Number of sales for restaurant robots: 2023-2036 |
| 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 - resources exploration |
| 8.2.4. | Application - offshore wind stations |
| 8.2.5. | Application - offshore wind power foundations and underwater cable detection and recycling |
| 8.2.6. | Application - hole detection (hydropower stations, underwater tunnels) |
| 8.2.7. | Application - aquaculture |
| 8.2.8. | 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. | Sensors for underwater robots |
| 8.4.6. | Navigation and localization technologies |
| 8.4.7. | Localization and navigation for underwater robots |
| 8.4.8. | Inertial and dead-reckoning |
| 8.4.9. | Drawbacks of dead-reckoning and inertial navigation |
| 8.4.10. | Acoustic ranging |
| 8.4.11. | Sonar |
| 8.4.12. | Sonars |
| 8.4.13. | Geophysical Navigation |
| 8.4.14. | Gravity Navigation and Geomagnetic Navigation |
| 8.4.15. | Optical sensing for underwater robots |
| 8.4.16. | Localisation and navigation for underwater robots |
| 8.4.17. | Flowchart of achieving guidance and navigation |
| 8.4.18. | Core technology requirements and enablers |
| 8.4.19. | Takeaways - technologies, applications and challenges |
| 8.5. | ROV and AUV players |
| 8.5.1. | Kongsberg - HUGIN |
| 8.5.2. | Kongsberg - HUGIN |
| 8.5.3. | Sublue |
| 8.5.4. | Bluefin Robotics |
| 8.5.5. | AUV DeDAvE - Fraunhofer |
| 8.5.6. | Oceaneering International, Inc |
| 8.5.7. | TechnipFMC |
| 8.5.8. | Boya Gongdao (Beijing) Robot Technology |
| 8.5.9. | Boya Gongdao - ROBO-ROV SEALION and MANATEE |
| 8.5.10. | More featured companies and AUVs |
| 8.5.11. | Daewoo Shipbuilding & Marine Engineering and ECA SA |
| 8.5.12. | Evo Logics and Teledyne Webb Research |
| 8.6. | UG and HROV players |
| 8.6.1. | Slocum Glider Platform |
| 8.6.2. | Seaglider M6 |
| 8.6.3. | Seaglider by Falmouth Scientific Inc. |
| 8.7. | Forecasts |
| 8.7.1. | Market size of different applications: 2023-2036 |
| 8.7.2. | Market share of different applications |
| 9. | CONSTRUCTION AND DEMOLITION ROBOTS |
| 9.1. | Introduction and Market Analysis |
| 9.1.1. | What are construction and demolition robots? |
| 9.1.2. | Key players in the construction and demolition robots market |
| 9.1.3. | HAL Robotics |
| 9.1.4. | Epiroc Construction Robots |
| 9.1.5. | Hyperion Robotics |
| 9.1.6. | Advanced Construction Robotics |
| 9.1.7. | Bina Robotics |
| 9.1.8. | Husqvarna: Demolition Robots |
| 9.1.9. | Dusty Robotics |
| 9.2. | Forecasts |
| 9.2.1. | Construction and Demolition Robot Market Forecast |
| 10. | SEARCH AND RESCUE ROBOTS |
| 10.1. | Introduction |
| 10.1.1. | Introduction |
| 10.1.2. | Key Advantages of Search and Rescue Robots |
| 10.2. | Market Analysis |
| 10.2.1. | Search and Rescue Robots Players |
| 10.2.2. | Anybotics: ANYmal |
| 10.2.3. | Sarcos Robotics |
| 10.2.4. | Blueye: Underwater Drones |
| 10.2.5. | Boston Dynamics: Spot |
| 10.2.6. | Boston Dynamics: Spot Price and Sensors |
| 10.2.7. | Deep Robotics |
| 10.2.8. | Deep Robotics X30 Sensor Load and Technologies |
| 10.2.9. | Deep Trekker |
| 10.2.10. | Disparity in Regional Cost of Robotic Dogs |
| 10.2.11. | Disaster Response and Search-and-Rescue Drones |
| 10.2.12. | Law Enforcement Use Case: Enhancing Aerial Oversight and Operational Coordination |
| 10.2.13. | Fire and Disaster Response: Real-Time Aerial Intelligence in Complex and Hazardous Environments |
| 10.2.14. | Search and Rescue / Emergency Response: Accelerating Victim Location and Enabling Safer Operations |
| 10.2.15. | Thermal and Multi-Sensor Payloads |
| 10.3. | Forecast |
| 10.3.1. | Search and Rescue Robots Forecast |
| 11. | ROBOTICS SOFTWARE |
| 11.1. | Introduction |
| 11.1.1. | Software for Robotics Introduction |
| 11.1.2. | Different Abstraction Levels |
| 11.2. | SLAM |
| 11.2.1. | SLAM (Simultaneous Localization and Mapping) |
| 11.2.2. | Localization and Mapping, and Why Simultaneously? |
| 11.2.3. | Visual SLAM vs LiDAR SLAM |
| 11.2.4. | Multi Sensor SLAM |
| 11.2.5. | Exyn Technologies |
| 11.2.6. | Advantages of Different SLAM Approaches and IDTechEx Take |
| 11.3. | VLA Models |
| 11.3.1. | Vision Language Action (VLA) Models for Robotics |
| 11.3.2. | Progress of VLA Models |
| 11.3.3. | Palladyne AI |
| 11.3.4. | Keenon Robotics |
| 11.3.5. | Advances and Applications in Keenon's VLA Model |
| 12. | FORECAST SUMMARY |
| 12.1. | Overview of the service robot market by application 2025-2036 |
| 12.2. | A few examples of regulations and regulatory bodies |
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Le marché des robots de service dépassera les 120 milliards de dollars américains d'ici 2036.
Report Statistics
| Slides | 513 |
|---|---|
| Forecasts to | 2036 |
| Published | Dec 2025 |
Preview Content
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