飯店機器人市場－全球產業規模、佔有率、趨勢、機會與預測：機器人類型、功能、應用、成本、地區和競爭格局，2021-2031年

全球飯店機器人市場預計將從 2025 年的 5.7992 億美元大幅成長至 2031 年的 16.6435 億美元，複合年成長率為 19.21%。

這些機器人是自主或半自動的電子機械系統，旨在為飯店和住宿提供客房清潔、禮賓服務以及餐飲服務等服務任務。市場的主要驅動力是勞動力短缺帶來的勞動力補充需求，以及降低與人力部署相關的長期營運成本的策略目標。為了支持這一不斷成長的需求，國際機器人聯合會 (IFR) 發布的 2024 年數據顯示，預計 2023 年酒店機器人銷量將超過 54,000 台，全球增幅達 31%。

儘管存在這些積極趨勢，但實施和整合所需的大量前期投資仍然是廣泛應用的一大障礙。高昂的財務門檻常常阻礙中小企業採用機器人解決方案，使其難以在融資緊張和與現有物業管理系統互通性即時的技術挑戰下證明投資回報的合理性。因此，儘管自動化發展勢頭強勁，但這些經濟和技術障礙仍然限制著市場的普遍參與。

市場促進因素

旅館業採用機器人的主要原因是勞動力嚴重短缺和人事費用不斷上漲。飯店和餐廳在招募和留住從事重複性工作的員工方面持續面臨挑戰，因此採用自動化解決方案對於維持服務標準至關重要。勞動力短缺促使服務機器人應用於諸如招待客人和清理餐桌等職能，有效填補了人力資本短缺造成的空缺，同時穩定了長期工資支出。根據美國酒店及住宿設施協會於2024年1月發布的《2024年酒店業狀況報告》，67%的受訪酒店表示存在人員短缺問題，凸顯了替代勞動力資源的緊迫性以及機器人自動化在運營方面的必要性。

同時，人工智慧和自動駕駛技術的進步正在提升機器人的功能性和可靠性，加速其市場滲透。現代系統採用複雜的導航演算法和機器學習技術，能夠在動態環境中安全運作，增強操作人員的信心，並提高投資報酬率 (ROI)。這項技術革新正在推動整個產業向數位轉型。美國餐飲協會 (National Restaurant Association) 於 2024 年 2 月發布的《2024 年餐飲業現況報告》指出，47% 的餐廳經營者預計，今年科技和自動化應用將更加普及。作為這一趨勢的關鍵推動者，LG 電子於 2024 年向 Bear Robotics 進行了 6,000 萬美元的策略性投資，以加速其自動駕駛服務平台的發展。

市場挑戰

全球酒店業機器人市場面臨的主要阻礙因素是實施和整合所需的大量前期資本投入。雖然自主系統具有長期降低營運成本的潛力，但硬體採購、軟體授權和基礎設施維修的初始成本構成了准入門檻。對於利潤率低、缺乏流動資金來承擔短期內無法產生效益的大額資本支出的中小企業而言，這種財務負擔尤其沉重。因此，許多業者被迫推遲自動化計劃，即便他們正面臨嚴重的勞動力短缺問題。

此外，將機器人與現有設施管理系統整合的複雜性加劇了部署成本。這些互通性挑戰通常需要昂貴的系統維修或客製化開發，從而推高了整體擁有成本，並造成經濟摩擦，限制了市場滲透。為了說明這種猶豫不決，美國餐飲協會報告稱，只有16%的餐飲業者計劃在2024年採用人工智慧和機器人技術。這項統計數據凸顯了技術和財務壁壘如何有效地阻礙了技術的廣泛應用，先進的機器人部署主要局限於資金雄厚的行業領導者。

市場趨勢

機器人集群與智慧酒店物聯網生態系統的整合正在建立一個整合的營運網路，在這個網路中，自主單元能夠與建築基礎設施同步運行，而非孤立運作。現代飯店機器人不再僅僅依賴機載感測器；它們利用基於雲端的API與建築管理系統、電梯和自動門進行通訊，從而能夠在無需人工干預的情況下執行多層任務。這種互通性解決了高層飯店的垂直移動難題，並使機器人集群能夠有效率地在複雜環境中穿梭。根據奧的斯全球公司於2025年4月發布的2024年度報告，該公司報告稱，其全球聯網單元數量約為100萬台，為自主服務機器人利用整合式網約車技術提供了必要的物聯網基礎。

同時，生成式人工智慧的融合正在將機器人從簡單的功能性外送員轉變為能夠提供高度個人化、情境察覺互動體驗的智慧禮賓。與專注於安全性和路線效率的傳統導航演算法不同，這一趨勢優先考慮賓客體驗，使機器人能夠處理自然語言、提供多語言提案，並根據即時情緒調整回應。這種轉變正在將市場價值提案從勞動力輔助轉向創造高附加價值的數位化-實體一體化賓客服務。例如，Amadeus 於 2025 年 4 月發布的《2024 年全球報告》就體現了這項智慧投資的規模。該報告宣布，該公司計劃累計14 億歐元用於研發，比上一年成長 19%，以積極採用生成式人工智慧模型，從而重新定義酒店服務標準。

目錄

第1章概述

第2章調查方法

第3章執行摘要

第4章：客戶評價

第5章 全球飯店機器人市場展望

• 市場規模及預測
  • 按金額
• 市佔率及預測
  • 依機器人類型（客服機器人、清潔機器人、送餐機器人、保全機器人、其他）
  • 依職能分類（前台服務、客房清潔、餐飲服務、門房服務、保全監控、其他）
  • 按用途（飯店、餐廳、郵輪、主題樂園/度假村等）
  • 依成本分類（低成本機器人、高成本機器人）
  • 按地區
  • 按公司（2025 年）
• 市場地圖

第6章：北美飯店機器人市場展望

• 市場規模及預測
• 市佔率及預測
• 北美洲：國家分析
  • 美國
  • 加拿大
  • 墨西哥

第7章：歐洲酒店機器人市場展望

• 市場規模及預測
• 市佔率及預測
• 歐洲：國家分析
  • 德國
  • 法國
  • 英國
  • 義大利
  • 西班牙

第8章 亞太地區飯店機器人市場展望

• 市場規模及預測
• 市佔率及預測
• 亞太地區：國家分析
  • 中國
  • 印度
  • 日本
  • 韓國
  • 澳洲

第9章：中東和非洲酒店機器人市場展望

• 市場規模及預測
• 市佔率及預測
• 中東和非洲：國家分析
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南非

第10章：南美飯店機器人市場展望

• 市場規模及預測
• 市佔率及預測
• 南美洲：國家分析
  • 巴西
  • 哥倫比亞
  • 阿根廷

第11章 市場動態

• 促進要素
• 任務

第12章 市場趨勢與發展

• 併購
• 產品發布
• 最新進展

第13章 全球飯店機器人市場：SWOT分析

第14章：波特五力分析

• 產業競爭
• 新進入者的可能性
• 供應商電力
• 顧客權力
• 替代品的威脅

第15章 競爭格局

• SoftBank Robotics Group Corp.
• Savioke Inc.
• LG Electronics Inc.
• Panasonic Corporation
• Pudu Technology Inc.
• Keenon Robotics Co., Ltd.
• Hyundai Robotics Co., Ltd.
• Bear Robotics Inc.
• Connected Robotics Inc.
• Aethon Inc.

第16章 策略建議

第17章：關於研究公司及免責聲明

The Global Hospitality Robots Market is projected to expand substantially, growing from USD 579.92 Million in 2025 to USD 1664.35 Million by 2031, with a compound annual growth rate of 19.21%. These robots are autonomous or semi-autonomous electromechanical systems designed to execute service tasks such as housekeeping, concierge support, and food and beverage delivery within the tourism and accommodation sectors. The market is primarily driven by the critical need to address workforce shortages through labor augmentation and the strategic goal of reducing long-term operational costs associated with human staffing. Underscoring this rising demand, the International Federation of Robotics reported that sales of hospitality robots exceeded 54,000 units in 2023, reflecting a 31% global increase according to their 2024 data.

Despite this positive trajectory, a major obstacle hindering widespread adoption is the significant upfront capital investment required for procurement and integration. This high financial barrier often prevents small and medium-sized enterprises from implementing robotic solutions, as they struggle to justify the return on investment amidst immediate cash flow constraints and technical challenges related to interoperability with legacy property management systems. Consequently, while the momentum for automation is strong, these economic and technical hurdles continue to restrict ubiquitous market entry.

Market Driver

The adoption of hospitality robots is primarily catalyzed by acute labor shortages and escalating workforce costs. Hotels and restaurants face ongoing difficulties in recruiting and retaining staff for repetitive tasks, necessitating the integration of automated solutions to preserve service standards. This workforce deficiency drives the deployment of service robots for functions such as room delivery and table bussing, effectively filling gaps left by insufficient human capital while stabilizing long-term wage expenditures. According to the 'State of the Hotel Industry 2024' report released by the American Hotel & Lodging Association in January 2024, 67% of surveyed hotels reported staffing shortages, emphasizing the critical need for alternative labor resources and positioning robotic automation as an operational necessity.

Simultaneously, advancements in artificial intelligence and autonomous mobility are accelerating market penetration by improving the functionality and reliability of robotic units. Modern systems employ complex navigation algorithms and machine learning to operate safely in dynamic environments, thereby increasing operator confidence and enhancing return on investment. This technological evolution supports a broader industry shift toward digital transformation; the National Restaurant Association's '2024 State of the Restaurant Industry' report from February 2024 noted that 47% of operators expect technology and automation usage to become more common this year. Highlighting the significant capital fueling this trend, LG Electronics executed a strategic investment of $60 million in Bear Robotics in 2024 to expedite the development of autonomous service platforms.

Market Challenge

The significant upfront capital investment required for procurement and integration serves as a primary restraint on the Global Hospitality Robots Market. Although autonomous systems offer potential long-term operational savings, the initial costs for hardware acquisition, software licensing, and infrastructure modification create a prohibitive barrier to entry. This financial burden is particularly challenging for small and medium-sized enterprises (SMEs), which often operate with thin profit margins and lack the liquidity to absorb substantial capital expenditures that do not provide immediate returns. As a result, many operators are compelled to defer automation efforts despite facing severe labor shortages.

Moreover, the cost of deployment is further aggravated by the complexity of integrating robots with legacy property management systems. This interoperability challenge often requires expensive system overhauls or custom development, inflating the total cost of ownership and creating economic friction that limits market penetration. Illustrating this hesitation, the National Restaurant Association reported in 2024 that only 16% of operators planned to invest in artificial intelligence or robotics integration. This statistic highlights how technical and financial hurdles effectively cap widespread adoption, largely confining advanced robotic deployments to well-capitalized industry leaders.

Market Trends

The convergence of robotic fleets with smart hotel IoT ecosystems is creating a unified operational mesh where autonomous units operate in synchronization with building infrastructure rather than in isolation. Instead of relying solely on onboard sensors, modern hospitality robots utilize cloud-based APIs to communicate with building management systems, elevators, and automatic doors, enabling them to execute multi-story tasks without human assistance. This interoperability solves the challenge of vertical mobility in high-rise hotels, allowing robotic fleets to navigate complex environments efficiently. According to the '2024 Annual Report' by Otis Worldwide Corporation published in April 2025, the company reported approximately 1.0 million connected units globally, providing the critical IoT foundation necessary for autonomous service robots to utilize integrated dispatch technologies.

Concurrently, the integration of Generative AI is transforming robotic units from simple functional couriers into intelligent concierges capable of hyper-personalized, context-aware interactions. Unlike standard navigation algorithms that focus on safety and route efficiency, this trend prioritizes the guest experience by enabling robots to process natural language, offer multilingual recommendations, and adapt responses based on real-time sentiment. This shift moves the market's value proposition beyond labor augmentation toward creating high-touch, digital-physical guest services. Highlighting the financial commitment to this intelligent transformation, Amadeus's 'Global Report 2024' from April 2025 noted a €1.4 billion investment in R&D, a 19% increase from the previous year, aimed at aggressively deploying generative AI models that redefine hospitality service standards.

Key Market Players

• SoftBank Robotics Group Corp.
• Savioke Inc.
• LG Electronics Inc.
• Panasonic Corporation
• Pudu Technology Inc.
• Keenon Robotics Co., Ltd.
• Hyundai Robotics Co., Ltd.
• Bear Robotics Inc.
• Connected Robotics Inc.
• Aethon Inc.

Report Scope

In this report, the Global Hospitality Robots Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Hospitality Robots Market, By Type of Robot

• Customer Service Robots
• Cleaning Robots
• Food Delivery Robots
• Security Robots
• Others

Hospitality Robots Market, By Functionality

• Front Desk Assistance
• Housekeeping
• Food & Beverage Service
• Concierge Services
• Security & Surveillance
• Others

Hospitality Robots Market, By Application

• Hotels
• Restaurants
• Cruise Ships
• Theme Parks & Resorts
• Others

Hospitality Robots Market, By Cost

• Low-Cost Robots
• High-Cost Robots

Hospitality Robots Market, By Region

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Hospitality Robots Market.

Available Customizations:

Global Hospitality Robots Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Hospitality Robots Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Type of Robot (Customer Service Robots, Cleaning Robots, Food Delivery Robots, Security Robots, Others)
  • 5.2.2. By Functionality (Front Desk Assistance, Housekeeping, Food & Beverage Service, Concierge Services, Security & Surveillance, Others)
  • 5.2.3. By Application (Hotels, Restaurants, Cruise Ships, Theme Parks & Resorts, Others)
  • 5.2.4. By Cost (Low-Cost Robots, High-Cost Robots)
  • 5.2.5. By Region
  • 5.2.6. By Company (2025)
• 5.3. Market Map

6. North America Hospitality Robots Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Type of Robot
  • 6.2.2. By Functionality
  • 6.2.3. By Application
  • 6.2.4. By Cost
  • 6.2.5. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Hospitality Robots Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Type of Robot
      • 6.3.1.2.2. By Functionality
      • 6.3.1.2.3. By Application
      • 6.3.1.2.4. By Cost
  • 6.3.2. Canada Hospitality Robots Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Type of Robot
      • 6.3.2.2.2. By Functionality
      • 6.3.2.2.3. By Application
      • 6.3.2.2.4. By Cost
  • 6.3.3. Mexico Hospitality Robots Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Type of Robot
      • 6.3.3.2.2. By Functionality
      • 6.3.3.2.3. By Application
      • 6.3.3.2.4. By Cost

7. Europe Hospitality Robots Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Type of Robot
  • 7.2.2. By Functionality
  • 7.2.3. By Application
  • 7.2.4. By Cost
  • 7.2.5. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Hospitality Robots Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Type of Robot
      • 7.3.1.2.2. By Functionality
      • 7.3.1.2.3. By Application
      • 7.3.1.2.4. By Cost
  • 7.3.2. France Hospitality Robots Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Type of Robot
      • 7.3.2.2.2. By Functionality
      • 7.3.2.2.3. By Application
      • 7.3.2.2.4. By Cost
  • 7.3.3. United Kingdom Hospitality Robots Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Type of Robot
      • 7.3.3.2.2. By Functionality
      • 7.3.3.2.3. By Application
      • 7.3.3.2.4. By Cost
  • 7.3.4. Italy Hospitality Robots Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Type of Robot
      • 7.3.4.2.2. By Functionality
      • 7.3.4.2.3. By Application
      • 7.3.4.2.4. By Cost
  • 7.3.5. Spain Hospitality Robots Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Type of Robot
      • 7.3.5.2.2. By Functionality
      • 7.3.5.2.3. By Application
      • 7.3.5.2.4. By Cost

8. Asia Pacific Hospitality Robots Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Type of Robot
  • 8.2.2. By Functionality
  • 8.2.3. By Application
  • 8.2.4. By Cost
  • 8.2.5. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Hospitality Robots Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Type of Robot
      • 8.3.1.2.2. By Functionality
      • 8.3.1.2.3. By Application
      • 8.3.1.2.4. By Cost
  • 8.3.2. India Hospitality Robots Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Type of Robot
      • 8.3.2.2.2. By Functionality
      • 8.3.2.2.3. By Application
      • 8.3.2.2.4. By Cost
  • 8.3.3. Japan Hospitality Robots Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Type of Robot
      • 8.3.3.2.2. By Functionality
      • 8.3.3.2.3. By Application
      • 8.3.3.2.4. By Cost
  • 8.3.4. South Korea Hospitality Robots Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Type of Robot
      • 8.3.4.2.2. By Functionality
      • 8.3.4.2.3. By Application
      • 8.3.4.2.4. By Cost
  • 8.3.5. Australia Hospitality Robots Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Type of Robot
      • 8.3.5.2.2. By Functionality
      • 8.3.5.2.3. By Application
      • 8.3.5.2.4. By Cost

9. Middle East & Africa Hospitality Robots Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Type of Robot
  • 9.2.2. By Functionality
  • 9.2.3. By Application
  • 9.2.4. By Cost
  • 9.2.5. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Hospitality Robots Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Type of Robot
      • 9.3.1.2.2. By Functionality
      • 9.3.1.2.3. By Application
      • 9.3.1.2.4. By Cost
  • 9.3.2. UAE Hospitality Robots Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Type of Robot
      • 9.3.2.2.2. By Functionality
      • 9.3.2.2.3. By Application
      • 9.3.2.2.4. By Cost
  • 9.3.3. South Africa Hospitality Robots Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Type of Robot
      • 9.3.3.2.2. By Functionality
      • 9.3.3.2.3. By Application
      • 9.3.3.2.4. By Cost

10. South America Hospitality Robots Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Type of Robot
  • 10.2.2. By Functionality
  • 10.2.3. By Application
  • 10.2.4. By Cost
  • 10.2.5. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Hospitality Robots Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Type of Robot
      • 10.3.1.2.2. By Functionality
      • 10.3.1.2.3. By Application
      • 10.3.1.2.4. By Cost
  • 10.3.2. Colombia Hospitality Robots Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Type of Robot
      • 10.3.2.2.2. By Functionality
      • 10.3.2.2.3. By Application
      • 10.3.2.2.4. By Cost
  • 10.3.3. Argentina Hospitality Robots Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Type of Robot
      • 10.3.3.2.2. By Functionality
      • 10.3.3.2.3. By Application
      • 10.3.3.2.4. By Cost

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global Hospitality Robots Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. SoftBank Robotics Group Corp.
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. Savioke Inc.
• 15.3. LG Electronics Inc.
• 15.4. Panasonic Corporation
• 15.5. Pudu Technology Inc.
• 15.6. Keenon Robotics Co., Ltd.
• 15.7. Hyundai Robotics Co., Ltd.
• 15.8. Bear Robotics Inc.
• 15.9. Connected Robotics Inc.
• 15.10. Aethon Inc.

16. Strategic Recommendations

17. About Us & Disclaimer