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市場調查報告書
商品編碼
1544832

飯店機器人市場 - 全球產業規模、佔有率、趨勢、機會和預測，按機器人類型、功能、應用、成本、地區和競爭細分，2019-2029F

Hospitality Robots Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Type of Robot, By Functionality, By Application, By Cost, By Region & Competition, 2019-2029F
出版日期: | 出版商: TechSci Research | 英文 189 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2023年全球酒店機器人市場價值為3.6327億美元，預計2029年將達到10.509億美元，預測期內複合年成長率為19.19%。

市場概況
預測期 2025-2029
2023 年市場規模 3.6327 億美元
2029 年市場規模 105090萬美元
2024-2029 年複合年成長率 19.19%
成長最快的細分市場 禮賓服務
最大的市場 亞太地區

酒店機器人市場是指服務業內的一個領域，涉及使用自動化機器人技術來增強酒店、餐廳、度假村和其他相關場所等酒店環境中的賓客體驗、營運效率和服務交付的各個方面。這些機器人旨在執行一系列任務，包括但不限於客戶服務、家政、食品和飲料交付以及安全。它們配備了先進的感測器、人工智慧 (AI) 和機器學習功能，可與客人智慧互動、在環境中導航並自主或半自主執行分配的任務。

採用飯店機器人的主要促進因素包括提高服務品質、降低營運成本、解決勞動力短缺問題以及在競爭激烈的市場中提供差異化產品的願望。該市場的特點是針對特定功能和操作需求量身定做的各種機器人類型，例如前台協助、房間清潔、禮賓服務和安全監控。由於技術進步、高旅遊量和支持性監管環境，北美、歐洲和亞太地區等地區在採用方面處於領先地位。總體而言，隨著機器人和人工智慧的進步推動創新並擴大酒店業機器人應用範圍，酒店機器人市場持續發展。

主要市場促進因素

增強的賓客體驗：

營運效率：

勞動力短缺和工資上漲：

主要市場挑戰

實施成本和投資報酬率問題

整合的複雜性和技術相容性

人機互動與賓客接待

主要市場趨勢

人工智慧 (AI) 和機器學習的整合：

社交和情感機器人的興起：

細分市場洞察

機器人洞察類型

區域洞察

目錄

第 1 章：產品概述

第 2 章：研究方法

第 3 章：執行摘要

第 4 章：客戶之聲

第 5 章：全球酒店機器人市場展望

  • 市場規模及預測
    • 按價值
  • 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）
    • 依功能分類（前台協助、家事服務、餐飲服務、禮賓服務、安全與監控、其他）
    • 按應用程式（飯店、餐廳、遊輪、主題樂園和度假村、其他）
    • 按成本（低成本機器人、高成本機器人）
    • 按地區
    • 按公司分類 (2023)
  • 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
    • 按價值
  • 市佔率及預測
    • 按機器人類型
    • 按功能分類
    • 按申請
    • 按成本
    • 按國家/地區
  • 北美：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
    • 按價值
  • 市佔率及預測
    • 按機器人類型
    • 按功能分類
    • 按申請
    • 按成本
    • 按國家/地區
  • 歐洲：國家分析
    • 德國
    • 英國
    • 義大利
    • 法國
    • 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
    • 按價值
  • 市佔率及預測
    • 按機器人類型
    • 按功能分類
    • 按申請
    • 按成本
    • 按國家/地區
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第 9 章：南美洲飯店機器人市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按機器人類型
    • 按功能分類
    • 按申請
    • 按成本
    • 按國家/地區
  • 南美洲：國家分析
    • 巴西
    • 阿根廷
    • 哥倫比亞

第 10 章：中東和非洲酒店機器人市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按機器人類型
    • 按功能分類
    • 按申請
    • 按成本
    • 按國家/地區
  • 中東和非洲：國家分析
    • 南非
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 科威特
    • 土耳其

第 11 章：市場動態

  • 促進要素
  • 挑戰

第 12 章：市場趨勢與發展

第 13 章：公司簡介

  • SoftBank Robotics Group Corp
  • Relay Robotics, Inc.
  • Panasonic Corporation
  • LG Electronics, Inc.
  • Knightscope, Inc
  • Connected Robotics, Inc
  • Prospera Hospitality
  • Fulin Robots Technology BV

第 14 章：策略建議

第15章調查會社について,免責事項

簡介目錄
Product Code: 24173

Global Hospitality Robots Market was valued at USD 363.27 Million in 2023 and is expected to reach USD 1050.90 million in 2029 with a CAGR of 19.19% through the forecast period.

Market Overview
Forecast Period2025-2029
Market Size 2023USD 363.27 Million
Market Size 2029USD 1050.90 Million
CAGR 2024-202919.19%
Fastest Growing SegmentConcierge Services
Largest MarketAsia Pacific

The hospitality robots market refers to the sector within the service industry that involves the use of automated robotic technology to enhance various aspects of guest experience, operational efficiency, and service delivery in hospitality settings such as hotels, restaurants, resorts, and other related establishments. These robots are designed to perform a range of tasks, including but not limited to customer service, housekeeping, food and beverage delivery, and security. They are equipped with advanced sensors, artificial intelligence (AI), and machine learning capabilities to interact intelligently with guests, navigate through environments, and execute assigned tasks autonomously or semi-autonomously.

Key drivers for the adoption of hospitality robots include the desire to improve service quality, reduce operational costs, address labor shortages, and differentiate offerings in a competitive market. The market is characterized by a variety of robot types tailored to specific functions and operational needs, such as front desk assistance, room cleaning, concierge services, and security surveillance. Regions like North America, Europe, and Asia Pacific lead in adoption due to technological advancements, high tourism volumes, and supportive regulatory environments. Overall, the hospitality robots market continues to evolve as advancements in robotics and AI drive innovation and expand the scope of robotic applications in the hospitality industry.

Key Market Drivers

Enhanced Guest Experience:

In the competitive landscape of hospitality, enhancing guest experience stands as a paramount driver for the adoption of robots. These technologies offer personalized and efficient services, catering to the diverse needs of modern travelers. Customer service robots, for instance, greet guests, provide information about hotel amenities, and even assist with check-in processes, thereby reducing waiting times and enhancing overall satisfaction.

Additionally, robots in hospitality can elevate guest comfort by delivering room service, ensuring timely and accurate orders. This level of service not only meets but also exceeds guest expectations, fostering loyalty and positive word-of-mouth referrals. The seamless integration of robotic assistants in guest interactions enhances the overall ambiance of the establishment, creating a memorable experience that encourages repeat visits.

Through the use of artificial intelligence (AI) and machine learning, hospitality robots can learn guest preferences over time, providing personalized recommendations for dining, activities, or room preferences. This adaptive capability contributes to a more tailored and enjoyable stay, positioning hotels and resorts as innovative leaders in guest-centric service delivery.

Overall, the drive to enhance guest experience through the deployment of hospitality robots reflects a strategic imperative for industry players to differentiate themselves in a crowded market. By leveraging robotic technologies, hospitality establishments can create lasting impressions and foster strong customer loyalty, driving sustainable growth and profitability in the long term.

Operational Efficiency:

Operational efficiency serves as a critical driver in the adoption of hospitality robots, offering substantial benefits in resource management, cost savings, and productivity enhancement. Robots deployed in housekeeping roles, for example, streamline room cleaning processes by autonomously navigating through spaces, changing linens, and ensuring cleanliness to the highest standards. This automation not only accelerates turnaround times between guest stays but also reduces labor costs associated with manual cleaning tasks.

In food and beverage services, robots excel in optimizing workflow efficiency. They can undertake tasks such as automated meal delivery, dishwashing, and even bartending, thereby minimizing wait times and maximizing service throughput during peak hours. By automating repetitive and time-consuming tasks, robots enable human staff to focus on more complex guest interactions and service enhancements, ultimately improving overall operational performance.

Additionally, the integration of robotic technologies in inventory management and supply chain logistics enhances inventory accuracy and reduces waste. Robots equipped with sensors and AI algorithms can monitor stock levels, predict demand patterns, and facilitate timely replenishment, thereby ensuring seamless operations and minimizing stockouts or overstock situations.

The implementation of robotics in hospitality also enhances workplace safety by handling potentially hazardous tasks, such as heavy lifting or cleaning hazardous materials. This promotes a safer environment for employees and reduces the risk of workplace injuries.

The pursuit of operational efficiency through hospitality robots underscores a strategic initiative to optimize resource allocation, improve service delivery, and achieve sustainable cost savings. By leveraging robotic technologies effectively, hospitality establishments can streamline operations, enhance service quality, and maintain a competitive edge in the global marketplace.

Labor Shortages and Rising Wages:

Labor shortages and rising wages represent significant challenges for the hospitality industry, driving the adoption of robots as a viable solution to mitigate these issues. With traditional labor pools becoming increasingly scarce, especially in markets with aging populations or strict immigration policies, robots offer a reliable alternative to fulfill critical operational roles.

In regions facing labor shortages, such as parts of North America, Europe, and Asia Pacific, hospitality robots alleviate dependency on human labor for tasks that are repetitive or physically demanding. For instance, robots deployed in housekeeping can perform routine cleaning tasks, reducing the strain on existing staff and enabling hotels to maintain cleanliness standards without compromising guest satisfaction.

Robots in food and beverage services handle tasks such as food preparation, dishwashing, and automated delivery, thereby augmenting human capabilities during peak demand periods or understaffed shifts. This flexibility in staffing ensures consistent service levels and operational continuity, even in challenging labor market conditions.

Additionally, the rising cost of wages in some regions compels hospitality operators to explore cost-effective alternatives, such as robotics, to manage labor expenses while maintaining service quality. By investing in robots for routine tasks, hotels and restaurants can achieve cost efficiencies in the long term, reallocating human resources to more value-added roles that require interpersonal skills and guest interaction.

The integration of robotics in response to labor shortages and wage pressures underscores a strategic approach to workforce management and operational resilience. By embracing technological innovation, hospitality establishments can navigate labor market challenges effectively, optimize staffing costs, and uphold service standards amidst evolving economic conditions.

Key Market Challenges

Cost of Implementation and ROI Concerns

One of the primary challenges in the global hospitality robots market is the significant upfront cost associated with implementing robotic technologies across various operational areas. Hospitality establishments, particularly smaller hotels or restaurants with limited budgets, may find it financially daunting to invest in high-end robotic systems for tasks such as customer service, housekeeping, or food delivery.

The cost considerations extend beyond the initial purchase of robots to include expenses related to installation, maintenance, and software updates. Additionally, training staff to operate and interact effectively with robots adds to the overall implementation costs. For many businesses, calculating a clear return on investment (ROI) from these expenditures can be challenging, especially when tangible benefits such as cost savings or improved guest satisfaction may take time to materialize.

The rapid pace of technological advancements in robotics introduces the risk of early obsolescence, necessitating ongoing investments to keep up with emerging trends and consumer preferences. These factors contribute to hesitation among hospitality operators when evaluating the feasibility and long-term financial viability of integrating robots into their operational strategies.

Addressing the cost of implementation and ROI concerns requires strategic planning, thorough cost-benefit analysis, and consideration of alternative financing options or partnerships to mitigate upfront expenditures. Demonstrating clear operational efficiencies, enhanced service quality, and competitive differentiation through pilot programs or case studies can help build confidence and justify investments in robotics within the hospitality sector.

Complexity of Integration and Technological Compatibility

Another significant challenge facing the global hospitality robots market is the complexity of integrating robotic systems into existing operational environments and ensuring compatibility with existing infrastructure and technologies. Hospitality establishments often operate diverse IT systems, software platforms, and hardware configurations across different departments, posing interoperability challenges for seamless robot deployment.

Integrating robots into front-of-house operations, such as reception desks or concierge services, requires synchronization with property management systems (PMS), booking engines, and customer relationship management (CRM) platforms to facilitate real-time data exchange and personalized guest interactions. Similarly, robots deployed in back-of-house functions, such as housekeeping or inventory management, must integrate with existing workflows and inventory control systems to optimize efficiency and minimize disruption.

Ensuring robust cybersecurity measures to protect sensitive guest data and prevent unauthorized access to robotic systems poses additional challenges. As robots become interconnected with hotel networks and IoT devices, vulnerabilities to cyber threats and data breaches necessitate stringent security protocols and ongoing monitoring to safeguard operations and guest privacy.

Overcoming the complexity of integration and technological compatibility requires collaboration between hospitality operators, robotics manufacturers, and IT experts to develop standardized interfaces, protocols, and application programming interfaces (APIs) that facilitate seamless integration and data interoperability. Testing prototypes in real-world environments, conducting pilot deployments, and investing in staff training are essential steps to mitigate risks and optimize the operational performance of robotics within the hospitality industry.

Human-robot Interaction and Guest Acceptance

A critical challenge in the global hospitality robots market is ensuring effective human-robot interaction (HRI) and gaining guest acceptance of robotic technologies within service-oriented environments. Unlike traditional service delivery methods that rely on human empathy, intuition, and personalized interactions, robots must be programmed to interpret and respond appropriately to diverse guest preferences, emotions, and cultural nuances.

Achieving seamless HRI involves designing robots with intuitive user interfaces, natural language processing capabilities, and emotional intelligence algorithms that enable them to engage in meaningful conversations, anticipate guest needs, and adapt their behaviors accordingly. However, designing robots that strike the right balance between efficiency and human-like interaction without appearing robotic or impersonal remains a significant technical and psychological challenge.

uest acceptance of robots in hospitality settings may vary based on generational preferences, cultural attitudes towards technology, and individual comfort levels with automation. While some guests may embrace robotic assistants for their efficiency and novelty, others may perceive them as impersonal or intrusive, potentially impacting overall guest satisfaction and loyalty.

Hospitality operators must proactively educate guests about the benefits of robotic technologies, address concerns related to job displacement or service quality, and solicit feedback to continuously improve HRI experiences. Implementing robust training programs for staff to collaborate effectively with robots and intervene when necessary ensures a harmonious coexistence between human and robotic service providers.

Ultimately, fostering positive HRI and achieving widespread guest acceptance of robots requires a nuanced approach that prioritizes empathy, communication, and responsiveness in robotic design and implementation. By addressing these challenges, hospitality operators can leverage robotic technologies to enhance service delivery, operational efficiency, and guest experiences while maintaining a human-centric approach to hospitality.

Key Market Trends

Integration of Artificial Intelligence (AI) and Machine Learning:

The integration of AI and machine learning stands as a transformative trend in the global hospitality robots market, enabling robots to evolve from mere task performers to intelligent assistants capable of learning and adapting to dynamic guest needs. AI-powered robots can analyze guest preferences, behavior patterns, and feedback to deliver personalized experiences, such as recommending dining options based on past orders or suggesting activities based on historical preferences.

AI enhances robots' ability to navigate complex environments autonomously, optimize operational workflows, and predict demand patterns for enhanced resource management. For instance, robots equipped with AI can dynamically adjust their routes in crowded hotel lobbies or restaurants to avoid obstacles and ensure efficient service delivery.

Machine learning algorithms enable continuous improvement in robot performance and capabilities over time. By leveraging data analytics, hospitality operators can derive actionable insights to enhance service quality, operational efficiency, and guest satisfaction. This trend underscores a strategic shift towards leveraging advanced technologies to elevate service standards and differentiate offerings in a competitive market landscape.

Overall, the integration of AI and machine learning in hospitality robots represents a pivotal trend driving innovation and operational excellence across various segments of the industry. As technology continues to evolve, AI-powered robots are poised to play an increasingly central role in delivering personalized, seamless guest experiences while optimizing operational efficiencies for hospitality establishments worldwide.

Rise of Social and Emotional Robots:

The emergence of social and emotional robots marks a significant trend in the global hospitality industry, aimed at enhancing guest interactions and fostering emotional connections between robots and humans. Unlike traditional robots focused solely on task automation, social robots are designed to engage guests in meaningful conversations, respond empathetically to inquiries, and exhibit social behaviors that mimic human interactions.

These robots utilize advanced natural language processing (NLP), facial recognition, and emotional intelligence algorithms to perceive and adapt to human emotions, thereby creating more immersive and personalized guest experiences. For instance, social robots deployed at hotel receptions can greet guests warmly, inquire about their travel preferences, and provide tailored recommendations for local attractions or dining options based on individual interests.

Social and emotional robots contribute to a positive ambiance within hospitality settings, promoting a welcoming and customer-centric atmosphere. Their ability to engage guests in interactive dialogues, entertain children, or offer companionship to elderly guests enhances overall satisfaction and loyalty.

Beyond guest interactions, social robots also support staff by automating routine inquiries, freeing up human resources to focus on complex tasks that require interpersonal skills and critical thinking. This trend reflects a strategic shift towards integrating advanced robotics to augment human capabilities while delivering memorable, emotionally resonant experiences in hospitality.

As social and emotional robots continue to evolve, their role in shaping the future of hospitality extends beyond efficiency gains to include deeper customer engagement and emotional connection, positioning hospitality establishments at the forefront of innovation and guest-centric service delivery.

Segmental Insights

Type of Robot Insights

The Customer Service Robots segment held the largest Market share in 2023. Customer Service Robots dominate the global hospitality robots market due to several key factors that align with the evolving needs and expectations of the hospitality industry and its guests.

Enhanced guest experience is a paramount priority for hospitality businesses. Customer service robots significantly contribute to this by offering personalized and efficient services that improve overall guest satisfaction. These robots can perform a variety of tasks such as check-ins, providing information about hotel amenities, answering frequently asked questions, and assisting with concierge services. Their ability to operate 24/7 without fatigue ensures that guests receive consistent and timely assistance, enhancing their overall stay experience.

The integration of advanced technologies such as artificial intelligence (AI) and natural language processing (NLP) enables customer service robots to interact with guests in a more human-like and intuitive manner. These robots can understand and respond to guest inquiries in multiple languages, making them particularly valuable in international hospitality settings. This technological sophistication allows for seamless communication, reducing the likelihood of misunderstandings and improving service efficiency.

Labor shortages and rising labor costs are significant challenges in the hospitality industry. Customer service robots provide a cost-effective solution by automating routine and repetitive tasks that would otherwise require human intervention. This not only helps in managing operational costs but also allows human staff to focus on more complex and personalized interactions that require emotional intelligence and problem-solving skills.

The adoption of customer service robots is also driven by the need for operational efficiency. These robots streamline front-of-house operations, reduce waiting times, and ensure that guests receive prompt and accurate information. By handling check-ins, luggage assistance, and other guest services, customer service robots help in optimizing workflow and enhancing overall operational productivity. Moreover, the novelty and appeal of customer service robots can serve as a unique selling point for hotels and resorts. Guests are often intrigued by the innovative use of technology, which can differentiate a hospitality establishment from its competitors. This can lead to positive word-of-mouth and repeat business, further justifying the investment in such robots.

Regional Insights

Asia-Pacific region held the largest market share in 2023. Asia Pacific is home to some of the world's leading technology hubs, particularly in countries such as Japan, South Korea, and China. These nations have a strong tradition of technological innovation and have made significant investments in robotics and artificial intelligence (AI). Companies in these countries are at the forefront of developing advanced robotic solutions tailored for the hospitality industry. For example, Japan's Henn-na Hotel, known for its extensive use of robots, showcases the integration of robotic technology in hotel operations, from reception to room service. The technological infrastructure and expertise available in the region facilitate the development and deployment of cutting-edge hospitality robots.

The Asia Pacific region is a major tourist destination, attracting millions of visitors each year. Countries like Thailand, Japan, China, and Indonesia are renowned for their rich cultural heritage, natural beauty, and vibrant urban centers. The influx of tourists creates a high demand for efficient and innovative hospitality services. Robots in the hospitality sector can help manage this demand by providing consistent and high-quality service, enhancing the overall guest experience. The ability to cater to a large number of tourists efficiently and effectively is a significant driver for the adoption of hospitality robots in the region.

Labor shortages and rising wages are pressing issues in many Asia Pacific countries. The hospitality industry, in particular, faces challenges in recruiting and retaining staff for roles that are often considered labor-intensive and low-paying. Robots offer a viable solution to these labor market constraints by automating repetitive and time-consuming tasks such as cleaning, food delivery, and check-in/check-out processes. This automation not only addresses the labor shortage but also reduces operational costs associated with hiring and training staff. As a result, hospitality operators in the region are increasingly turning to robots to fill the gaps in their workforce.

Governments in the Asia Pacific region have recognized the potential of robotics and AI to drive economic growth and have implemented policies to support their development and adoption. For instance, Japan has established the "Robot Revolution Initiative," which aims to make the country a leader in robotics technology. Similarly, China's "Made in China 2025" strategy emphasizes advancements in AI and robotics. These supportive policies create a conducive environment for the growth of the hospitality robots market by encouraging innovation, investment, and collaboration between the public and private sectors.

Cultural attitudes towards technology in the Asia Pacific region also play a crucial role in the widespread adoption of hospitality robots. In many Asian cultures, there is a high level of acceptance and enthusiasm for new technologies. Consumers are generally open to interacting with robots and view them as a symbol of modernity and progress. This cultural acceptance reduces resistance to the adoption of robotic technologies in hospitality settings, making it easier for hotels, restaurants, and other establishments to integrate robots into their operations.

Key Market Players

SoftBank Robotics Group Corp.

Relay Robotics, Inc.

Panasonic Corporation

LG Electronics, Inc.

Knightscope, Inc

Connected Robotics, Inc

Prospera Hospitality

Fulin Robots Technology BV

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
    • Kuwait
    • Turkey

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
  • 1.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Formulation of the Scope
  • 2.4. Assumptions and Limitations
  • 2.5. Sources of Research
    • 2.5.1. Secondary Research
    • 2.5.2. Primary Research
  • 2.6. Approach for the Market Study
    • 2.6.1. The Bottom-Up Approach
    • 2.6.2. The Top-Down Approach
  • 2.7. Methodology Followed for Calculation of Market Size & Market Shares
  • 2.8. Forecasting Methodology
    • 2.8.1. Data Triangulation & Validation

3. Executive Summary

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 (2023)
  • 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. United Kingdom 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. Italy 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. France 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. South America 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. South America: Country Analysis
    • 9.3.1. Brazil 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. Argentina 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. Colombia 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. Middle East and Africa 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. Middle East and Africa: Country Analysis
    • 10.3.1. South Africa 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. Saudi Arabia 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. UAE 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
    • 10.3.4. Kuwait Hospitality Robots Market Outlook
      • 10.3.4.1. Market Size & Forecast
        • 10.3.4.1.1. By Value
      • 10.3.4.2. Market Share & Forecast
        • 10.3.4.2.1. By Type of Robot
        • 10.3.4.2.2. By Functionality
        • 10.3.4.2.3. By Application
        • 10.3.4.2.4. By Cost
    • 10.3.5. Turkey Hospitality Robots Market Outlook
      • 10.3.5.1. Market Size & Forecast
        • 10.3.5.1.1. By Value
      • 10.3.5.2. Market Share & Forecast
        • 10.3.5.2.1. By Type of Robot
        • 10.3.5.2.2. By Functionality
        • 10.3.5.2.3. By Application
        • 10.3.5.2.4. By Cost

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

13. Company Profiles

  • 13.1. SoftBank Robotics Group Corp
    • 13.1.1. Business Overview
    • 13.1.2. Key Revenue and Financials
    • 13.1.3. Recent Developments
    • 13.1.4. Key Personnel/Key Contact Person
    • 13.1.5. Key Product/Services Offered
  • 13.2. Relay Robotics, Inc.
    • 13.2.1. Business Overview
    • 13.2.2. Key Revenue and Financials
    • 13.2.3. Recent Developments
    • 13.2.4. Key Personnel/Key Contact Person
    • 13.2.5. Key Product/Services Offered
  • 13.3. Panasonic Corporation
    • 13.3.1. Business Overview
    • 13.3.2. Key Revenue and Financials
    • 13.3.3. Recent Developments
    • 13.3.4. Key Personnel/Key Contact Person
    • 13.3.5. Key Product/Services Offered
  • 13.4. LG Electronics, Inc.
    • 13.4.1. Business Overview
    • 13.4.2. Key Revenue and Financials
    • 13.4.3. Recent Developments
    • 13.4.4. Key Personnel/Key Contact Person
    • 13.4.5. Key Product/Services Offered
  • 13.5. Knightscope, Inc
    • 13.5.1. Business Overview
    • 13.5.2. Key Revenue and Financials
    • 13.5.3. Recent Developments
    • 13.5.4. Key Personnel/Key Contact Person
    • 13.5.5. Key Product/Services Offered
  • 13.6. Connected Robotics, Inc
    • 13.6.1. Business Overview
    • 13.6.2. Key Revenue and Financials
    • 13.6.3. Recent Developments
    • 13.6.4. Key Personnel/Key Contact Person
    • 13.6.5. Key Product/Services Offered
  • 13.7. Prospera Hospitality
    • 13.7.1. Business Overview
    • 13.7.2. Key Revenue and Financials
    • 13.7.3. Recent Developments
    • 13.7.4. Key Personnel/Key Contact Person
    • 13.7.5. Key Product/Services Offered
  • 13.8. Fulin Robots Technology BV
    • 13.8.1. Business Overview
    • 13.8.2. Key Revenue and Financials
    • 13.8.3. Recent Developments
    • 13.8.4. Key Personnel/Key Contact Person
    • 13.8.5. Key Product/Services Offered

14. Strategic Recommendations

15. About Us & Disclaimer