
Restaurant Delivery Robot Market
Restaurant Delivery Robot Market Forecasts to 2030 - Global Analysis By Load Carrying Capacity (Up to 10 Kg, More than 10 Kg Up to 50 Kg and More than 50 Kg), Component, Number of Wheels, Speed Limit, End User and By Geography

Years Covered |
2021-2030 |
Estimated Year Value (2023) |
US $14.5 BN |
Projected Year Value (2030) |
US $73.5 BN |
CAGR (2023 - 2030) |
26.1% |
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
Largest Market |
Asia Pacific |
Highest Growing Market |
Europe |
According to Stratistics MRC, the Global Restaurant Delivery Robot Market is accounted for $14.5 billion in 2023 and is expected to reach $73.5 billion by 2030 growing at a CAGR of 26.1% during the forecast period. Robots that are either fully or partially autonomous are used to deliver food orders from restaurants to consumers' locations. They are a part of the expanding movement in the food service sector to use automation and robots to improve customer experiences and expedite delivery processes. With the help of cutting-edge sensors, cameras, LiDAR, GPS, and mapping technologies, these robots can travel across sidewalks, streets, and pedestrian zones on their own and arrive at their destination.
According to the E-commerce Foundation, North America has the world's highest social network penetration rate, driving its e-commerce industry. Despite reducing labor costs, installing delivery robots also helps hospitality establishments gain popularity on social networks, helping them improve their RevPAR.
Market Dynamics:
Driver:
Rising demand for contactless delivery
The deployment of restaurant delivery robots has raised due to the desire for contactless delivery alternatives, particularly during and after the COVID-19 epidemic. Delivery robots are a practical way for restaurants to address this demand for contactless delivery services thus customers are placing a higher priority on cleanliness and safety in all of their interactions, including when ordering takeout. Moreover, the demand for restaurant delivery robots is driven by consumers looking for safer options, who are drawn to the convenience of contactless delivery by robots.
Restraint:
Overwhelming infrastructure and exorbitant costs
The storage and consumption of power provide several obstacles for autonomous delivery, which are anticipated to impede the advancement of autonomous goods' technological and operational capabilities. Furthermore, every product's adoption involves operational difficulties and complications. As a result, human interaction is crucial to corporate processes, and the deceleration in the expansion of logistic infrastructure due to ongoing conflicts in several countries and the slowdown in global economic development is pressuring companies to reduce expenses in order to remain in operation, which is hindering the expansion of the industry.
Opportunity:
Increased urbanization and delivery demands
Urban locations frequently have last-mile delivery issues, such as traffic jams and trouble maneuvering through congested, pedestrian-heavy streets. By skilfully navigating through urban surroundings, restaurant delivery robots provide a solution to these problems and more effectively meet delivery requests. Restaurant delivery reach is increased by robots' ability to traverse cities and the potential consumer base for restaurants utilizing these robots is increased since they can reach places that would be difficult for standard delivery methods to access. These robots fulfil the increasing need for efficient delivery services, handle issues specific to cities, and provide a scalable and dependable solution to suit the changing demands of both restaurants and urban consumers.
Threat:
Technological limitations
Delivery robots may function less well or be less reliable due to technological constraints like software bugs, navigation problems, or inaccurate sensor readings. Errors or failures might make it more difficult for the robot to deliver goods precisely and effectively. Technology limitations may restrict the flexibility and adaptability of delivery robots. Their operating skills may be limited as a result of their inability to effectively manage unanticipated hurdles, navigate complicated surroundings, or handle a variety of terrains.
Covid-19 Impact
Automation and robots have become more widely used throughout sectors as a result of the epidemic and there has been a surge in interest in the use of delivery robots to reduce the number of human interactions during food delivery as restaurants look for creative ways to adjust to shifting customer preferences and safety regulations. In the food service sector, safety and cleanliness have become critical. As a way to comply with health and safety regulations put in place during the pandemic, delivery robots provided a food supply chain solution that decreased human-to-human interaction.
The software segment is expected to be the largest during the forecast period
The software segment is estimated to have a lucrative growth, because robots are more reliable and efficient when they can navigate complicated areas, avoid obstacles, and select the best delivery routes thanks to advanced algorithms and mapping software. For software to integrate seamlessly with restaurant systems, including order management platforms, point of sale (POS) systems, and kitchen management software, integration capabilities are essential. Integration makes it possible for the robot, kitchen employees, and order fulfilment procedures to work together seamlessly.
The healthcare segment is expected to have the highest CAGR during the forecast period
The healthcare segment is anticipated to witness the highest CAGR growth during the forecast period, because the healthcare industry places a strong focus on efficiency, hygienic practices, and precision, it frequently leads in the adoption of new technology. The general state of the economy can be impacted by changes in healthcare spending, healthcare regulations, or changes in consumer spending on healthcare. These modifications may have an indirect effect on consumer purchasing patterns, which may have an impact on the uptake and cost of technology such as robots that deliver food.
Region with largest share:
Asia Pacific is projected to hold the largest market share during the forecast period owing to the adoption of cutting-edge technology. Advanced robotics, artificial intelligence, and sensor technologies were being actively developed by businesses in China, Japan, South Korea, and Singapore for restaurant delivery robots, enabling more autonomous and efficient operations. Partnerships and pilot projects targeted at testing and implementing restaurant delivery robots in Asia Pacific countries resulted from collaboration between food delivery platforms, restaurants, technology businesses, and robotics startups. Moreover competition amongst different organizations and startups in the Asia Pacific restaurant delivery robot sector drove innovation and the development of new features and capabilities in these robotic systems.
Region with highest CAGR:
Europe is projected to have the highest CAGR over the forecast period, owing to increase productivity and satisfy changing customer demands for convenience, the European food and beverage sector, which includes quick-service restaurants and other outlets, has been implementing automation on a larger scale. The creation of sophisticated restaurant delivery robots that can navigate through pedestrian areas and traffic, assuring safe and precise deliveries, was made possible by advancements in robotics, artificial intelligence (AI), sensor technologies, and navigation systems which boost the growth of the market.
Key players in the market
Some of the key players profiled in the Restaurant Delivery Robot Market include Bear Robotic, Amazon Robotics, Cleveron, Boston Dynamics, Cyan Robotics, Miso Robotics, Relay Robotics, Robby Technologies, Starship Technologies, Xrobotics, Robomart Inc, Dexai Robotics, Eliport, Kitchen Robotics and Creator
Key Developments:
In October 2023, Amazon announces 2 new ways it's using robots to assist employees and deliver for customers. The new robotic solutions, Sequoia and Digit, will support workplace safety and help Amazon deliver to customers faster.
In June 2023, Cleveron Releases the Cleveron 354, a Robotic Outdoor Parcel Locker, Cleveron's aim is to the disrupts the last-mile market with a grid-independent parcel solution with a mission to reduce 70% in CO2 emissions across the entire last-mile sector.
In June 2023, RobotLAB, a robotics integrator, is partnering with automation and robotics innovator Bear Robotics to expand the availability of the Servi and Servi Plus robots in the restaurant and hospitality spaces.
Load Carrying Capacities Covered:
• Up to 10 Kg
• More than 10 Kg Up to 50 Kg
• More than 50 Kg
Components Covered:
• Software
• Hardware
• Other Components
Number of Wheels Covered:
• 3 Wheels
• 4 Wheels
• 6 Wheels
Speed Limits Covered:
• 3 KPH
• Higher than 3 KPH up to 6 KPH
• Higher than 6 KPH
End Users Covered:
• Healthcare
• Food & Beverages
• Retail
• Postal
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 End User Analysis
3.7 Emerging Markets
3.8 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Restaurant Delivery Robot Market, By Load Carrying Capacity
5.1 Introduction
5.2 Up to 10 Kg
5.3 More than 10 Kg Up to 50 Kg
5.4 More than 50 Kg
6 Global Restaurant Delivery Robot Market, By Component
6.1 Introduction
6.2 Software
6.2.1 Fleet Management Software
6.2.2 Computer Vision
6.3 Hardware
6.3.1 Control System
6.3.2 Chassis and Motors
6.3.3 Ultrasonic/LIDAR Sensors
6.3.4 Radars
6.3.5 Cameras
6.3.6 Other Hardwares
6.4 Other Components
7 Global Restaurant Delivery Robot Market, By Number of Wheels
7.1 Introduction
7.2 3 Wheels
7.3 4 Wheels
7.4 6 Wheels
8 Global Restaurant Delivery Robot Market, By Speed Limit
8.1 Introduction
8.2 3 KPH
8.3 Higher than 3 KPH up to 6 KPH
8.4 Higher than 6 KPH
9 Global Restaurant Delivery Robot Market, By End User
9.1 Introduction
9.2 Healthcare
9.3 Food & Beverages
9.4 Retail
9.5 Postal
9.6 Other End Users
10 Global Restaurant Delivery Robot Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa
11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies
12 Company Profiling
12.1 Bear Robotics
12.2 Amazon Robotics
12.3 Cleveron
12.4 Boston Dynamics
12.5 Cyan Robotics
12.6 Miso Robotics
12.7 Relay Robotics
12.8 Robby Technologies
12.9 Starship Technologies
12.10 Xrobotics
12.11 Robomart Inc
12.12 Dexai Robotics
12.13 Eliport
12.14 Kitchen Robotics
12.15 Creator
List of Tables
1 Global Restaurant Delivery Robot Market Outlook, By Region (2021-2030) ($MN)
2 Global Restaurant Delivery Robot Market Outlook, By Load Carrying Capacity (2021-2030) ($MN)
3 Global Restaurant Delivery Robot Market Outlook, By Up to 10 Kg (2021-2030) ($MN)
4 Global Restaurant Delivery Robot Market Outlook, By More than 10 Kg Up to 50 Kg (2021-2030) ($MN)
5 Global Restaurant Delivery Robot Market Outlook, By More than 50 Kg (2021-2030) ($MN)
6 Global Restaurant Delivery Robot Market Outlook, By Component (2021-2030) ($MN)
7 Global Restaurant Delivery Robot Market Outlook, By Software (2021-2030) ($MN)
8 Global Restaurant Delivery Robot Market Outlook, By Fleet Management Software (2021-2030) ($MN)
9 Global Restaurant Delivery Robot Market Outlook, By Computer Vision (2021-2030) ($MN)
10 Global Restaurant Delivery Robot Market Outlook, By Hardware (2021-2030) ($MN)
11 Global Restaurant Delivery Robot Market Outlook, By Control System (2021-2030) ($MN)
12 Global Restaurant Delivery Robot Market Outlook, By Chassis and Motors (2021-2030) ($MN)
13 Global Restaurant Delivery Robot Market Outlook, By Ultrasonic/LIDAR Sensors (2021-2030) ($MN)
14 Global Restaurant Delivery Robot Market Outlook, By Radars (2021-2030) ($MN)
15 Global Restaurant Delivery Robot Market Outlook, By Cameras (2021-2030) ($MN)
16 Global Restaurant Delivery Robot Market Outlook, By Other Hardwares (2021-2030) ($MN)
17 Global Restaurant Delivery Robot Market Outlook, By Other Components (2021-2030) ($MN)
18 Global Restaurant Delivery Robot Market Outlook, By Number of Wheels (2021-2030) ($MN)
19 Global Restaurant Delivery Robot Market Outlook, By 3 Wheels (2021-2030) ($MN)
20 Global Restaurant Delivery Robot Market Outlook, By 4 Wheels (2021-2030) ($MN)
21 Global Restaurant Delivery Robot Market Outlook, By 6 Wheels (2021-2030) ($MN)
22 Global Restaurant Delivery Robot Market Outlook, By Speed Limit (2021-2030) ($MN)
23 Global Restaurant Delivery Robot Market Outlook, By 3 KPH (2021-2030) ($MN)
24 Global Restaurant Delivery Robot Market Outlook, By Higher than 3 KPH up to 6 KPH (2021-2030) ($MN)
25 Global Restaurant Delivery Robot Market Outlook, By Higher than 6 KPH (2021-2030) ($MN)
26 Global Restaurant Delivery Robot Market Outlook, By End User (2021-2030) ($MN)
27 Global Restaurant Delivery Robot Market Outlook, By Healthcare (2021-2030) ($MN)
28 Global Restaurant Delivery Robot Market Outlook, By Food & Beverages (2021-2030) ($MN)
29 Global Restaurant Delivery Robot Market Outlook, By Retail (2021-2030) ($MN)
30 Global Restaurant Delivery Robot Market Outlook, By Postal (2021-2030) ($MN)
31 Global Restaurant Delivery Robot Market Outlook, By Other End Users (2021-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY

We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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