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市場調查報告書
商品編碼
1401879

到 2030 年餐廳配送機器人的市場預測：按負載容量、組件、輪子數量、速度限制、最終用戶和地區進行全球分析

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個工作天內

價格

根據Stratistics MRC預測，2023年全球餐廳送餐機器人市場規模將達145億美元，預計2030年將達到735億美元，預測期內複合年成長率為26.1%。

完全自主或部分自主的機器人用於將訂單從餐廳運送到消費者地點。這些機器人是外食業不斷發展的運動的一部分，旨在使用自動化和機器人來改善客戶體驗並加快交付流程。借助尖端感測器、攝影機、雷射雷達、GPS 和地圖技術，這些機器人可以自行導航人行道、道路和步行街到達目的地。

根據電子商務基金會的數據，北美擁有全球最高的社交網路普及，並引領電子商務產業。除了降低人事費用外，宅配機器人的引入還將幫助餐旅服務業在社交網路上獲得知名度並提高RevPAR。

非接觸式配送需求不斷成長

隨著非接觸式外送需求的增加，尤其是在 COVID-19 爆發期間和之後，餐廳對外送機器人的採用有所增加。隨著顧客在所有互動中（包括訂購外帶時）越來越優先考慮清潔和安全，外送機器人是餐廳滿足這種非接觸式外送服務需求的實用方法。此外，隨著消費者尋求更安全的選擇，非接觸式機器人外送的便利性也推動了對餐廳外送機器人的需求。

壓倒性的基礎設施和高昂的成本

電力儲存和消耗為自主交付帶來了一些障礙，預計將阻礙自主產品技術和營運能力的進步。此外，任何產品的採用都會涉及操作困難和複雜性。因此，業務流程依賴人員往來，而由於多個國家的持續衝突和全球經濟發展放緩，物流基礎設施的擴張放緩，企業被迫削減成本以維持生計。產業擴張。

都市化和配送需求增加

最後一哩的配送挑戰經常出現在都市區，例如交通堵塞以及在擁擠的行人街道上行駛的困難。餐廳外送機器人可以解決這些問題，並透過熟練地在城市環境中導航來更有效地滿足送貨請求。機器人穿越城市的能力增加了餐廳的覆蓋範圍，透過允許他們到達常規送貨方式難以到達的地點來擴大其潛在的消費者基礎。這些機器人滿足了對高效配送服務日益成長的需求，解決了獨特的城市挑戰，並隨著餐廳和都市區消費者需求的變化提供可擴展且可靠的解決方案。Masu。

技術限制

由於軟體錯誤、導航問題和感測器讀數不準確等技術限制，送貨機器人可能會性能下降或不可靠。錯誤和故障會使機器人難以準確有效地交付貨物。技術限制會限制送貨機器人的彈性和適應性。無法有效管理意外障礙、在複雜環境中導航以及處理變化的地形可能會限制機器人的操作技能。

COVID-19 的影響

受疫情影響，自動化和機器人在各個行業的應用越來越廣泛，隨著餐廳尋求創造性的方式來適應不斷變化的顧客偏好和安全法規，食品對使用送貨機器人來減少送餐數量的興趣激增分娩過程中的人際互動。安全和清潔對於外食業極為重要。送貨機器人提供了食品供應鏈解決方案，減少了人與人之間的互動，作為遵守大流行引入的健康和安全法規的一種方式。

軟體部門預計將成為預測期內最大的部門

在軟體領域，由於先進的演算法和地圖軟體，機器人將能夠在複雜區域中導航、避開障礙物並選擇最佳配送路線，使其更加可靠和高效，預計將迎來良好的成長。整合功能對於與餐廳系統無縫整合的軟體至關重要，例如訂單管理平台、銷售資訊(POS) 系統和廚房管理軟體。整合允許機器人、廚房員工和訂單處理程序無縫協作。

預計醫療保健產業在預測期內複合年成長率最高

由於醫療保健行業非常注重效率、衛生習慣和精度，並且往往在新技術的採用方面處於領先地位，因此預計醫療保健行業在預測期內將實現最高的複合年成長率。經濟的整體狀況可能受到醫療保健支出、醫療保健監管和消費者醫療保健支出變化的影響。這些變化可能會對消費者的購買模式產生間接影響，進而影響送餐機器人等技術的採用與成本。

佔有率最大的地區：

由於採用最尖端科技，亞太地區預計在預測期內將佔據最大的市場佔有率。中國、日本、韓國和新加坡的公司正在積極開發先進的機器人、人工智慧和感測器技術，以使餐廳送餐機器人能夠更自主和高效地運作。專注於在亞太國家試點餐廳送餐機器人的合作夥伴關係和試點計劃是送餐平台、餐廳、科技企業和機器人Start-Ups之間合作的結果。此外，亞太地區餐廳送餐機器人領域各組織和新興企業之間的競爭推動了這些機器人系統的創新和新功能的開發。

複合年成長率最高的地區：

預計歐洲在預測期內的複合年成長率最高。為了提高生產力並滿足客戶不斷變化的便利需求，歐洲的食品和飲料行業（包括快餐店和其他商店）正在實施更高程度的自動化。機器人技術、人工智慧(AI)、感測器技術和導航系統的進步正在創造複雜的餐廳送貨機器人，它們可以導航步行區和交通，以確保安全和準確的送貨，推動市場成長。我們對此表示支持。

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目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 調查來源
    • 主要調查來源
    • 二次調查來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 最終用戶分析
  • 新興市場
  • 新型冠狀病毒感染疾病（COVID-19）的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章全球餐廳配送機器人市場：依負載容量

  • 最多 10 公斤
  • 10kg～50kg
  • 50公斤以上

第6章 全球餐廳送餐機器人市場：依組成部分

  • 軟體
    • 車隊管理軟體
    • 電腦視覺
  • 硬體
    • 控制系統
    • 底盤和電機
    • 超音波/LiDAR感測器
    • 雷達
    • 相機
    • 其他硬體
  • 其他組件

第7章 全球餐廳送餐機器人市場：以輪子數量分類

  • 3個輪子
  • 4個輪子
  • 6個輪子

第8章 全球餐廳送餐機器人市場：按速度限制

  • 3公里/小時
  • 3 公里/小時至 6 公里/小時
  • 超過6公里/小時

第9章 全球餐廳配送機器人市場：依最終用戶分類

  • 衛生保健
  • 食品與飲品
  • 零售
  • 郵政
  • 其他最終用戶

第10章全球餐廳送餐機器人市場：依地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第11章 主要進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司簡介

  • 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.