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市场调查报告书
商品编码
1401879

到 2030 年餐厅配送机器人的市场预测：按负载容量、组件、轮子数量、速度限制、最终用户和地区进行全球分析

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
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据Stratistics MRC预测，2023年全球餐厅送餐机器人市场规模将达145亿美元，预计2030年将达到735亿美元，预测期内复合年增长率为26.1%。

完全自主或部分自主的机器人用于将订单从餐厅运送到消费者地点。这些机器人是外食业不断发展的运动的一部分，旨在使用自动化和机器人来改善客户体验并加快交付流程。借助尖端感测器、摄影机、雷射雷达、GPS 和地图技术，这些机器人可以自行导航人行道、道路和步行街到达目的地。

根据电子商务基金会的数据，北美拥有全球最高的社交网路普及，并引领电子商务产业。除了降低人事费用外，宅配机器人的引入还将帮助餐旅服务业在社交网路上获得知名度并提高RevPAR。

非接触式配送需求不断成长

随着非接触式外送需求的增加，尤其是在 COVID-19 爆发期间和之后，餐厅对外送机器人的采用有所增加。随着顾客在所有互动中（包括订购外带时）越来越优先考虑清洁和安全，外送机器人是餐厅满足这种非接触式外送服务需求的实用方法。此外，随着消费者寻求更安全的选择，非接触式机器人外送的便利性也推动了对餐厅外送机器人的需求。

压倒性的基础设施和高昂的成本

电力储存和消耗为自主交付带来了一些障碍，预计将阻碍自主产品技术和营运能力的进步。此外，任何产品的采用都会涉及操作困难和复杂性。因此，业务流程依赖人员往来，而由于多个国家的持续衝突和全球经济发展放缓，物流基础设施的扩张放缓，企业被迫削减成本以维持生计。产业扩张。

都市化和配送需求增加

最后一哩的配送挑战经常出现在都市区，例如交通拥堵以及在拥挤的行人街道上行驶的困难。餐厅外送机器人可以解决这些问题，并透过熟练地在城市环境中导航来更有效地满足送货请求。机器人穿越城市的能力增加了餐厅的覆盖范围，透过允许他们到达常规送货方式难以到达的地点来扩大其潜在的消费者基础。这些机器人满足了对高效配送服务日益增长的需求，解决了独特的城市挑战，并随着餐厅和都市区消费者需求的变化提供可扩展且可靠的解决方案。Masu。

技术限制

由于软体错误、导航问题和感测器读数不准确等技术限制，送货机器人可能会性能下降或不可靠。错误和故障会使机器人难以准确有效地交付货物。技术限制会限制送货机器人的弹性和适应性。无法有效管理意外障碍、在复杂环境中导航以及处理变化的地形可能会限制机器人的操作技能。

COVID-19 的影响

受疫情影响，自动化和机器人在各个行业的应用越来越广泛，随着餐厅寻求创造性的方式来适应不断变化的顾客偏好和安全法规，食品对使用送货机器人来减少送餐数量的兴趣激增分娩过程中的人际互动。安全和清洁对于外食业极为重要。送货机器人提供了食品供应链解决方案，减少了人与人之间的互动，作为遵守大流行引入的健康和安全法规的一种方式。

软体部门预计将成为预测期内最大的部门

在软体领域，由于先进的演算法和地图软体，机器人将能够在复杂区域中导航、避开障碍物并选择最佳配送路线，使其更加可靠和高效，预计将迎来良好的成长。整合功能对于与餐厅系统无缝整合的软体至关重要，例如订单管理平台、销售资讯(POS) 系统和厨房管理软体。整合允许机器人、厨房员工和订单处理程序无缝协作。

预计医疗保健产业在预测期内复合年增长率最高

由于医疗保健行业非常注重效率、卫生习惯和精度，并且往往在新技术的采用方面处于领先地位，因此预计医疗保健行业在预测期内将实现最高的复合年增长率。经济的整体状况可能受到医疗保健支出、医疗保健监管和消费者医疗保健支出变化的影响。这些变化可能会对消费者的购买模式产生间接影响，进而影响送餐机器人等技术的采用与成本。

占有率最大的地区：

由于采用最尖端科技，亚太地区预计在预测期内将占据最大的市场占有率。中国、日本、韩国和新加坡的公司正在积极开发先进的机器人、人工智慧和感测器技术，以使餐厅送餐机器人能够更自主和高效地运作。专注于在亚太国家试点餐厅送餐机器人的合作伙伴关係和试点计划是送餐平台、餐厅、科技企业和机器人Start-Ups之间合作的结果。此外，亚太地区餐厅送餐机器人领域各组织和新兴企业之间的竞争推动了这些机器人系统的创新和新功能的开发。

复合年增长率最高的地区：

预计欧洲在预测期内的复合年增长率最高。为了提高生产力并满足客户不断变化的便利需求，欧洲的食品和饮料行业（包括快餐店和其他商店）正在实施更高程度的自动化。机器人技术、人工智慧(AI)、感测器技术和导航系统的进步正在创造复杂的餐厅送货机器人，它们可以导航步行区和交通，以确保安全和准确的送货，推动市场成长。我们对此表示支持。

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    • 根据客户兴趣对主要国家的市场估计、预测和复合年增长率（註：基于可行性检查）
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    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 调查来源
    • 主要调查来源
    • 二次调查来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 最终用户分析
  • 新兴市场
  • 新型冠状病毒感染疾病（COVID-19）的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球餐厅配送机器人市场：依负载容量

  • 最多 10 公斤
  • 10kg～50kg
  • 50公斤以上

第六章 全球餐厅送餐机器人市场：依组成部分

  • 软体
    • 车队管理软体
    • 电脑视觉
  • 硬体
    • 控制系统
    • 底盘和电机
    • 超音波/光达感测器
    • 雷达
    • 相机
    • 其他硬体
  • 其他组件

第七章 全球餐厅送餐机器人市场：以轮子数量划分

  • 3个轮子
  • 4个轮子
  • 6个轮子

第八章 全球餐厅送餐机器人市场：按速度限制

  • 3公里/小时
  • 3 公里/小时至 6 公里/小时
  • 超过6公里/小时

第九章 全球餐厅配送机器人市场：依最终用户分类

  • 卫生保健
  • 食品与饮品
  • 零售
  • 邮政
  • 其他最终用户

第10章全球餐厅送餐机器人市场：依地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第十一章 主要进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章 公司简介

  • Bear Robotics
  • Amazon Robotics
  • Cleveron
  • Boston Dynamics
  • Cyan Robotics
  • Miso Robotics
  • Relay Robotics
  • Robby Technologies
  • Starship Technologies
  • Xrobotics
  • Robomart Inc
  • Dexai Robotics
  • Eliport
  • Kitchen Robotics
  • Creator
Product Code: SMRC24399

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
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • 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
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • 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

  • Table 1 Global Restaurant Delivery Robot Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Restaurant Delivery Robot Market Outlook, By Load Carrying Capacity (2021-2030) ($MN)
  • Table 3 Global Restaurant Delivery Robot Market Outlook, By Up to 10 Kg (2021-2030) ($MN)
  • Table 4 Global Restaurant Delivery Robot Market Outlook, By More than 10 Kg Up to 50 Kg (2021-2030) ($MN)
  • Table 5 Global Restaurant Delivery Robot Market Outlook, By More than 50 Kg (2021-2030) ($MN)
  • Table 6 Global Restaurant Delivery Robot Market Outlook, By Component (2021-2030) ($MN)
  • Table 7 Global Restaurant Delivery Robot Market Outlook, By Software (2021-2030) ($MN)
  • Table 8 Global Restaurant Delivery Robot Market Outlook, By Fleet Management Software (2021-2030) ($MN)
  • Table 9 Global Restaurant Delivery Robot Market Outlook, By Computer Vision (2021-2030) ($MN)
  • Table 10 Global Restaurant Delivery Robot Market Outlook, By Hardware (2021-2030) ($MN)
  • Table 11 Global Restaurant Delivery Robot Market Outlook, By Control System (2021-2030) ($MN)
  • Table 12 Global Restaurant Delivery Robot Market Outlook, By Chassis and Motors (2021-2030) ($MN)
  • Table 13 Global Restaurant Delivery Robot Market Outlook, By Ultrasonic/LIDAR Sensors (2021-2030) ($MN)
  • Table 14 Global Restaurant Delivery Robot Market Outlook, By Radars (2021-2030) ($MN)
  • Table 15 Global Restaurant Delivery Robot Market Outlook, By Cameras (2021-2030) ($MN)
  • Table 16 Global Restaurant Delivery Robot Market Outlook, By Other Hardwares (2021-2030) ($MN)
  • Table 17 Global Restaurant Delivery Robot Market Outlook, By Other Components (2021-2030) ($MN)
  • Table 18 Global Restaurant Delivery Robot Market Outlook, By Number of Wheels (2021-2030) ($MN)
  • Table 19 Global Restaurant Delivery Robot Market Outlook, By 3 Wheels (2021-2030) ($MN)
  • Table 20 Global Restaurant Delivery Robot Market Outlook, By 4 Wheels (2021-2030) ($MN)
  • Table 21 Global Restaurant Delivery Robot Market Outlook, By 6 Wheels (2021-2030) ($MN)
  • Table 22 Global Restaurant Delivery Robot Market Outlook, By Speed Limit (2021-2030) ($MN)
  • Table 23 Global Restaurant Delivery Robot Market Outlook, By 3 KPH (2021-2030) ($MN)
  • Table 24 Global Restaurant Delivery Robot Market Outlook, By Higher than 3 KPH up to 6 KPH (2021-2030) ($MN)
  • Table 25 Global Restaurant Delivery Robot Market Outlook, By Higher than 6 KPH (2021-2030) ($MN)
  • Table 26 Global Restaurant Delivery Robot Market Outlook, By End User (2021-2030) ($MN)
  • Table 27 Global Restaurant Delivery Robot Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 28 Global Restaurant Delivery Robot Market Outlook, By Food & Beverages (2021-2030) ($MN)
  • Table 29 Global Restaurant Delivery Robot Market Outlook, By Retail (2021-2030) ($MN)
  • Table 30 Global Restaurant Delivery Robot Market Outlook, By Postal (2021-2030) ($MN)
  • Table 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.