Der Weltmarkt für Serviceroboter wird bis 2032 70,1 Milliarden US-Dollar erreichen

Serviceroboter 2022-2032: Technologien, Spieler & Märkte

Eine technologische und Marktbewertung der Serviceroboterindustrie, einschließlich Logistik- und Lieferroboter, Sozialroboter, Reinigungsroboter, Landwirtschaftsroboter, Küchen- und Restaurantroboter sowie Unterwasserroboter.

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Service robots are becoming increasingly popular. This report provides a comprehensive analysis of the major application areas of service robots, including delivery and logistics robots, cleaning and disinfection robots, social robots, agricultural robots, kitchen and restaurant robots, and underwater robots. It covers key technologies, market analysis, and 10-year granular regional market forecasts. The report provides an understanding of the market dynamics, competitive landscape, market outlook, and promising applications.
Robots have the potential to revolutionize so many aspects of the modern world, from optimizing industrial efficiency to improving our everyday lives. Unlike the traditional robots used in industrial applications, service robots are primarily designed to support people in their daily life. As a broad definition, service robot covers a wide range of applications and types of robots, ranging from logistics and delivery robots, social robots, cleaning robots, disinfection robots, robotic chefs/kitchen robots, robotic waiters/restaurant robots, agricultural robots, and underwater robots. While the service robot market is at a much earlier stage of development than the traditional industrial robots, there is increasing effort within this space to promote the adoption of service robots. The intensity of competition and stage of development varies significantly depending on the application. IDTechEx's latest report on "Service Robots 2022-2032" takes a deep dive into the applications mentioned above with an analysis of the technologies, players, and markets with granular forecasts for the next 10 years.
Robots categorized by their technical difficulty, market demand, and stage of commercialization. Source: IDTechEx
Service robots in delivery and logistics
Automation in the warehousing and logistics chain is a fast-growing market. A particularly exciting subset of this is the use of mobile robots, autonomous vehicles, and drones, for the automation of movement-based tasks. This field encompasses all manner of mobile robotic devices used in logistics, such as robotic carts/vehicles, on-road autonomous trucks, and drones, which help goods in their journey from origin to destination. Thanks to the relatively low technical complexity and massive demand market, logistics and delivery robots have a promising future. As one of the dominant applications of service robots, they are expected to have a CAGR of 21% in the upcoming decade.
Cleaning and disinfection robots
As the second-largest application, cleaning and disinfection robots can be classified as either domestic cleaning robots or professional cleaning robots. Based on the cleaning approaches, they can also be classified as physical cleaning (using brushes) or non-physical cleaning (using sprays and/or UV lights). Driven by COVID, cleaning robots have gained lots of momentum and funding (especially for start-ups) during the past two years, particularly in their professional applications. IDTechEx expects to see a fast growth of professional cleaning robots in the upcoming decade.
Social robots
Social robots are essentially high-level artificial intelligence (AI) systems built into physical entities. The major application areas of social robots include hospitality and medical treatments. Social robots can be used to guide and provide information. Typical places we could find social robots would be airports and hotel foyers. Aside from the hospitality industry, another important application for social robots is treating people who suffer from cognitive impairment, robots can be used to replace traditional physiotherapists and provide emotional and educational support. However, the emotional feedback causes debate as robots are not meant to have emotions, and the conversation is linked with multiple regulations and ethical issues.
Agricultural robots
Agricultural robots are an emerging application of service robots. Unlike logistics and delivery robots that primarily work in a relatively well-controlled environment and social robots that primarily work indoors, agricultural robots typically work in rural farmlands with limited access to infrastructure, difficult terrain, and unpredictable weather. These environmental factors bring a number of technical challenges to agricultural robots. Meanwhile, the agricultural industry is a low-margin industry so the high upfront costs of the agricultural robot could be another barrier to market uptake.
Restaurant and kitchen robots (robotic waiters and robotic chefs)
Restaurant robots (commonly known as robotic waiters) and kitchen robots (commonly known as robotic chefs) have gained lots of attention during the past two years due to the impact of COVID. Restaurant and kitchen robots can help restaurant owners better manage the food preparation such as maintaining stable food quality, reducing food waste, taking less space, etc. Despite these advantages, there are also several drawbacks. For instance, kitchen robots/robotic chefs are typically expensive (more than $200,000 per unit according to one of the commercialized products). The food service industry has high competition with thin profit margins; therefore, many restaurant owners are reluctant/unable to make such a big upfront investment, which presents a significant barrier to market uptake. However, given the massive potential of restaurant and kitchen robots, IDTechEx does see a number of market entry opportunities in the highly standardized fast-food industry.
Underwater robots (unmanned underwater vehicles)
Underwater robots, also commonly known as unmanned underwater vehicles (UUV) are primarily used for military applications. Examples include submarines and countermining robots, among others. Underwater robots have huge potential: they can be used for research and exploration, dam/tunnel/pipeline inspection, and several other applications. This report primarily focuses on the civil applications of underwater robots, and there are several technical and commercial hurdles. From a technical point of view, the harsh underwater environments come with limited visibility, possible animal attack, and limited approaches for communication. In order to deal with these technical challenges, a number of sensors, infrastructures, and navigation technologies are needed, such as sonar, acoustic altimeters, pressure sensors, cameras, and inclinometers. These sensors and technologies lead to high manufacturing costs, which concomitantly leads to a high price for underwater robots. Despite the significant hurdles, IDTechEx expects the uptake of underwater robots to increase significantly over the coming decade.
The service robot market is expected to grow quickly and reach $70 billion by 2032. Source: IDTechEx
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Table of Contents
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
2.1.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
3.1.1.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
3.1.6.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
3.2.15.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
3.3.7.Applications of mobile picking manipulators
3.3.8.Fetch Robotics
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
3.4.7.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
3.4.16.Market revenue forecasts for autonomous last-mile delivery robots: 2019-2032
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
5.1.1.What are social robots?
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
6.1.1.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
6.5.1.Agricultural robotics, market forecast by robot category
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
7.4.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
7.5.1.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
8.1.1.What are underwater robots?
8.1.2.Overview of underwater robots
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
8.3.1.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
8.4.12.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
8.5.3.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.
8.7.1.Market size of different applications: 2015-2032
8.7.2.Market share of different applications
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

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Slides 355
Forecasts to 2032
ISBN 9781913899967

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