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市场调查报告书
商品编码
1733601

全球智慧酒店市场规模（按类型、应用、部署模式、地区和预测）

Global Smart Hospitality Market Size By Type (Business Hotels, Heritage and Boutique Hotels), By Application (Hotels, Cruise), By Component (Solution, Services), By Deployment Mode (Cloud-Based, On-premise), By Geographic Scope And Forecast
出版日期: | 出版商: Verified Market Research | 英文 202 Pages | 商品交期: 2-3个工作天内

价格
简介目录

智慧酒店市场规模及预测

2024 年智慧饭店市场规模价值 272.8 亿美元，预计到 2032 年将达到 1,816.4 亿美元，在 2026-2032 年预测期内的复合年增长率为 29.50%。

智慧酒店是在酒店营运中使用先进技术来增强客人体验、简化营运并提高整体效率。这个概念融合了广泛的技术突破，包括物联网设备、人工智慧、行动应用程式和巨量资料分析。

它由各种应用程式组成，旨在透过使用技术来改善游客体验和业务效率。智慧客房控制系统让住宿可以使用行动应用程式或语音命令控制照明、温度和娱乐系统，有助于营造个人化和舒适的氛围。

人工智慧 (AI)、机器学习和扩增实境(AR) 的进步有望改变智慧酒店业务。人工智慧聊天机器人和虚拟助理旨在全天候提供客户服务，即时回答问题、安排预约等。旅游应用程式中使用扩增实境可以让客户参与饭店设施和附近的景点，从而有可能改善整体体验。

全球智慧酒店市场动态

影响全球智慧酒店市场的关键市场动态是：

关键市场驱动因素

技术进步：物联网 (IoT)、人工智慧 (AI) 和云端运算等先进技术正在改变饭店业。这些技术提供跨装置的无缝连接、自动化流程并透过个人化服务增强客户体验。

对增强宾客体验的需求不断增加：旅客越来越寻求旅行时独特而难忘的体验。智慧型手机入住、虚拟门房服务和非接触式付款等智慧饭店解决方案满足了这些需求并显着提高了客户满意度。

注重永续性：随着消费者环保意识的增强，饭店正在采用更永续的做法。智慧饭店解决方案可透过有效管理照明、暖气和冷气系统显着减少能源使用。这不仅可以降低营运成本，而且还能吸引那些喜欢致力于永续性的住宿设施的环保意识的旅客。

主要挑战

实施成本高：将智慧技术融入饭店业务需要大量的前期投资。先进的管理软体、物联网设备和基础设施变更的成本可能过高，尤其是对于小型企业而言。许多酒店和度假村将难以获得足够的资金来支持这些技术，这可能会减缓整个行业的采用。

资料安全和隐私问题：随着智慧技术变得越来越普遍，资料安全成为一个主要问题。酒店业从住宿那里获取了大量的个人信息，这意味着资料外洩是可能的。确保遵守 GDPR 等资料保护要求至关重要，但通常很困难且成本高昂。网路安全是一个重大问题，因为资料外洩可能会损害饭店的声誉并产生法律影响。

员工培训和适应：随着智慧技术的引入，员工需要接受有关如何使用新系统和工具的适当培训。员工对变革的抵制可能是成功实施的重大障碍。如果员工不懂技术，可能会导致营运效率低落和客户体验不佳。

主要趋势

物联网设备整合：物联网 (IoT) 透过实现设备和系统之间的无缝互动正在改变饭店业务。智慧酒店正在加速使用智慧恆温器、照明控制和能源管理系统等物联网设备，以提高客人舒适度和业务效率。

非接触式服务和行动解决方案：对非接触式服务的需求正在增加，尤其是在 COVID-19 疫情爆发之后。饭店正在推出行动应用程序，让客人可以透过行动电话办理入住、进入房间、预订客房服务以及控制房间内的电子设备。这项变更不仅提高了客人的便利性，而且透过限制身体接触也提高了安全性。

数据主导的个人化：数据分析在智慧酒店业中变得越来越普遍。饭店正在利用游客互动和偏好数据来提供个人化服务，包括客製化房间设置、客製化推荐和有针对性的促销。这种数据主导策略使饭店能够根据个人偏好提供更有意义的体验，提高客人的满意度和忠诚度。

目录

第一章 引言

  • 市场定义
  • 市场区隔
  • 调查时间表
  • 先决条件
  • 限制

第二章：已验证的市场研究调查方法

  • 资料探勘
  • 数据三角测量
  • 自下而上的方法
  • 自上而下的方法
  • 调查流程
  • 业界专家的重要见解
  • 资料来源

第三章执行摘要

  • 市场概览
  • 生态测绘
  • 绝对的商机
  • 市场吸引力
  • 未来市场机会
  • 全球市场区隔
  • 产品生命线

第四章 市场概述

  • 全球智慧酒店市场的成长
  • 驱动程式
  • 限制因素
  • 机会
  • 波特五力模型
  • 价值链分析
  • 定价分析
  • 宏观经济分析

第五章 智慧饭店市场类型

  • 概述
  • 商务旅馆
  • 文化遗产及精品饭店
  • 度假村和水疗中心
  • 其他的

第六章 智慧饭店市场（按应用）

  • 概述
  • 饭店
  • 巡航
  • 豪华游艇
  • 其他的

第七章 智慧饭店市场（依部署模式）

  • 云端基础
  • 本地

第八章 智慧饭店市场（按地区）

  • 概述
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 其他亚太地区
  • 拉丁美洲
    • 巴西
    • 阿根廷
    • 其他拉丁美洲
  • 中东和非洲
    • 阿拉伯聯合大公国
    • 沙乌地阿拉伯
    • 南非
    • 其他中东和非洲地区

第九章 竞争态势

  • 概述
  • 各公司市场排名
  • 主要进展
  • 公司地理分布
  • 公司产业足迹
  • ACE矩阵

第十章 公司简介

  • Schneider Electric
  • Siemens AG
  • IBM Corporation
  • Honeywell International
  • Winhotel Solutions
  • Cisco Systems
  • Oracle Corporation
  • Huawei Technologies
  • Johnson Controls
  • NEC Corporation

第 11 章 已验证的市场情报

  • 关于已验证的市场情报
  • 动态资料视觉化
简介目录
Product Code: 75141

Smart Hospitality Market Size and Forecast

Smart Hospitality Market size was valued at USD 27.28 Billion in 2024 and is projected to reach USD 181.64 Billion by 2032, growing at a CAGR of 29.50% from 2026 to 2032.

Smart hospitality is the use of sophisticated technologies in the hotel business to improve visitor experiences, streamline operations, and increase overall service efficiency. This notion incorporates a wide range of technology breakthroughs such as IoT devices, AI, mobile applications, and big data analytics.

It comprises a variety of applications designed to improve visitor experiences and operational efficiency via the use of technology. Smart room controls which allow guests to control lighting, temperature, and entertainment systems using mobile apps or voice commands help to create a personalized and comfortable atmosphere.

Advancements in artificial intelligence (AI), machine learning, and augmented reality (AR) are expected to transform the smart hospitality business. AI-powered chatbots and virtual assistants are intended to provide 24-hour customer service, answering questions and making bookings in real-time. The usage of augmented reality in tourism apps could allow customers to engage with hotel facilities and nearby attractions increasing their overall experience.

Global Smart Hospitality Market Dynamics

The key market dynamics that are shaping the global smart hospitality market include:

Key Market Drivers:

Technological Advancements: Advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and cloud computing are transforming the hospitality industry. These technologies offer seamless connectivity between devices, automating processes and improving guest experiences through personalized services.

Rising Demand for Enhanced Guest Experiences: Modern travelers are increasingly looking for unique and memorable experiences during their visits. Smart hospitality solutions such as smartphone check-ins, virtual concierge services, and contactless payments address these desires, considerably increasing client satisfaction.

Focus on Sustainability: As consumers become more environmentally sensitive, hotels are adopting sustainable practices. Smart hospitality solutions can drastically cut energy use by efficiently managing lighting, heating, and cooling systems. This not only reduces operational expenses but also appeals to environmentally aware travelers who prefer accommodations that show a dedication to sustainability.

Key Challenges:

High Implementation Costs: Integrating smart technologies into hospitality operations necessitates a considerable initial investment. The expenses of advanced management software, IoT devices, and infrastructure changes might be too expensive, particularly for small businesses. Many hotels and resorts may struggle to appropriate finances for these technologies, thus slowing adoption throughout the industry.

Data Security and Privacy Concerns: As smart technologies grow more prevalent, data security becomes a significant concern. Hospitality organizations acquire massive amounts of personal information from guests which is prone to breaches. Ensuring compliance with data protection requirements such as GDPR is vital but often difficult and expensive. A data breach can harm a hotel's reputation and have legal implications, therefore cybersecurity is a primary issue.

Staff Training and Adaptation: As smart technologies are introduced, employees must be properly taught to use new systems and tools. Employees' resistance to change can be a substantial impediment to successful adoption. If employees are not well-versed in technology, it can lead to operational inefficiencies and poor guest experiences.

Key Trends:

Integration of IoT Devices: The Internet of Things (IoT) is transforming the hotel business by allowing for seamless interaction between devices and systems. Smart hotels are increasingly using IoT devices like smart thermostats, lighting controls, and energy management systems to improve guest comfort and operational efficiency.

Contactless Services and Mobile Solutions: Demand for contactless services has increased, particularly in the aftermath of the COVID-19 outbreak. Hotels are implementing mobile applications that enable customers to check in, access their rooms, order room service, and manage in-room electronics using their cell phones. This change not only improves guest convenience but also increases safety by limiting physical touch.

Data-Driven Personalization: Data analytics is becoming more popular in smart hospitality. Hotels are using data from visitor interactions and preferences to provide personalized services including customized room settings, tailored recommendations, and targeted promotions. This data-driven strategy improves guest satisfaction and loyalty by allowing hotels to provide more meaningful experiences tailored to individual tastes.

Global Smart Hospitality Market Regional Analysis

Here is a more detailed regional analysis of the global smart hospitality market:

North America:

The North American region dominates the smart hotel market owing to its superior technological infrastructure and high acceptance rate of new solutions in the hotel industry. This dominance is supported by the region's thriving tourism economy, rising customer demand for personalized experiences, and the hotel industry's emphasis on operational efficiency.

According to the U.S. Travel Association, domestic and international visitors spent USD 1.1 Trillion in the United States in 2019, directly supporting 9 million employment in the travel industry. Although the COVID-19 pandemic caused a substantial downturn, the business is recuperating, with domestic leisure travel spending exceeding pre-pandemic levels by 2022.

Another significant driving force is the need for energy efficiency in the hospitality industry. According to the US Energy Information Administration, lodging facilities account for roughly 4% of total commercial building energy consumption. The American Hotel & Lodging Association reports that smart energy management systems in hotels can reduce energy use by 20-30%. Furthermore, the growing popularity of mobile devices is driving demand for mobile-based hospitality services.

Asia Pacific:

The tourism industry's rapid expansion combined with increased acceptance of digital technology is the fastest-growing driver for the Asia Pacific smart hospitality market. Rising disposable incomes, government tourist initiatives, and a tech-savvy population embracing smart hotel concepts all contribute to this increased rise.

The tourism industry in Asia Pacific has expanded dramatically, thereby affecting the smart hospitality business. According to the World Tourism Organization (UNWTO), international tourist arrivals in Asia and the Pacific totaled 360 million in 2019, up 4% from the previous year.

The adoption of digital technologies in the hospitality industry is fast increasing. According to Austrade, 88% of Australian hotels have integrated smart technology, with 72% planning additional investments within the next three years. In Singapore, the Singapore Tourism Board's Tourism Innovation Challenge observed a 30% surge in hospitality technology businesses between 2018 and 2020. The South Korean Ministry of Science and ICT has announced intentions to invest $5.3 billion in artificial intelligence by 2022, with a sizable part going toward smart cities and hospitality.

Global Smart Hospitality Market: Segmentation Analysis

The Global Smart Hospitality Market is segmented based on Type, Application, Component, Deployment Mode, and Geography.

Smart Hospitality Market, By Type

  • Business Hotels
  • Heritage and Boutique Hotels
  • Resorts and Spas

Based on the Type, the Global Smart Hospitality Market is bifurcated into Business Hotels, Heritage and Boutique Hotels, Resorts and Spas. In the smart hospitality market, business hotels dominate due to their strong demand driven by the increasing number of business travelers and corporate events. Business hotels are increasingly adopting smart technologies such as keyless entry, mobile check-in, and integrated communication systems to enhance guest experiences and operational efficiency. This segment's growth is further supported by the need for seamless connectivity and advanced amenities that cater to the requirements of business professionals.

Smart Hospitality Market, By Application

  • Hotels
  • Cruise
  • Luxury Yachts

Based on the Application, the Global Smart Hospitality Market is bifurcated into Hotels, Cruise, and Luxury Yachts. In the smart hospitality market, the hotel segment is the dominant application primarily due to the increasing integration of technology in the hotel experience to enhance guest satisfaction and operational efficiency. Hotels are increasingly adopting smart technologies such as IoT devices, mobile check-ins, and smart room controls to provide personalized services and streamline operations. This demand is fueled by the rising expectations of tech-savvy travelers who seek convenience and seamless experiences during their stays.

Smart Hospitality Market, By Component

  • Solution
  • Services

Based on the Component, the Global Smart Hospitality Market is Solutions and Services. In the global smart hospitality market, solutions dominate the market share. This is primarily due to the increasing adoption of advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and cloud computing which enhance guest experiences and operational efficiency. Solutions like property management systems, smart room technologies, and mobile applications are essential for automating various processes improving communication, and personalizing services for guests.

Smart Hospitality Market, By Deployment Mode

  • Cloud-Based
  • On-premise

Based on the Deployment Mode, the Global Smart Hospitality Market is bifurcated into Cloud-Based and On-Premise. In the smart hospitality market, cloud-based deployment is the dominant mode primarily due to its flexibility, scalability, and cost-effectiveness. Cloud-based solutions enable hotels and hospitality businesses to easily manage operations, customer data, and analytics from a centralized platform without the need for extensive on-site infrastructure. This deployment mode allows for seamless updates and integrations with other systems enhancing operational efficiency and guest experiences. Additionally, the rise in mobile technology and the increasing demand for real-time data access contribute to the preference for cloud solutions as they facilitate better communication and service delivery.

Smart Hospitality Market, By Geography

  • North America
  • Europe
  • Asia Pacific
  • Rest of the World

Based on Geography, the Global Smart Hospitality Market is classified into North America, Europe, Asia Pacific, and the Rest of the World. In the smart hospitality market, North America holds the dominant position. This dominance can be attributed to the early adoption of advanced technologies, a strong focus on enhancing guest experiences, and substantial investments in smart infrastructure. The region's established hospitality industry characterized by major hotel chains and luxury resorts drives the demand for integrated solutions such as IoT, AI, and mobile applications to streamline operations and improve customer satisfaction.

Key Players

The "Global Smart Hospitality Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are Schneider Electric, Siemens AG, IBM Corporation, Honeywell International, Winhotel Solutions, Cisco Systems, Oracle Corporation, Huawei Technologies, Johnson Controls, and NEC Corporation.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Global Smart Hospitality Market Key Developments

  • In August 2022, the Republic of Indonesia's Ministry of Education, Culture, Research, and Technology (MoECRT) and Oracle Indonesia confirmed their agreement on safety concerns. Over the next four years, this agreement will include the Oracle Academy curriculum and technical resources in MoECRT's Directorate General of Vocational Education (DGVE) activities. The collaboration aims to teach 2,000 educators and 50,000 students across Indonesia.
  • In November 2022, Infor and Rosen Hotels & Resorts announced a cooperation to create crucial back-of-house hospitality solutions. This collaboration encompasses the automation of critical company functions such as accounting, human resources, talent management, analytics, and workforce management.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL SMART HOSPITALITY MARKET

  • 1.1 Market Definition
  • 1.2 Market Segmentation
  • 1.3 Research Timelines
  • 1.4 Assumptions
  • 1.5 Limitations

2 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

  • 2.1 Data Mining
  • 2.2 Data Triangulation
  • 2.3 Bottom-Up Approach
  • 2.4 Top-Down Approach
  • 2.5 Research Flow
  • 2.6 Key Insights from Industry Experts
  • 2.7 Data Sources

3 EXECUTIVE SUMMARY

  • 3.1 Market Overview
  • 3.2 Ecology Mapping
  • 3.3 Absolute Market Opportunity
  • 3.4 Market Attractiveness
  • 3.5 Global Smart Hospitality Market Geographical Analysis (CAGR %)
  • 3.6 Global Smart Hospitality Market, By Type (USD Million)
  • 3.7 Global Smart Hospitality Market, By Application (USD Million)
  • 3.8 Future Market Opportunities
  • 3.9 Global Market Split
  • 3.10 Product Life Line

4 GLOBAL SMART HOSPITALITY MARKET OUTLOOK

  • 4.1 Global Smart Hospitality Evolution
  • 4.2 Drivers
    • 4.2.1 Driver1
    • 4.2.2 Driver 2
  • 4.3 Restraints
    • 4.3.1 Restraint1
    • 4.3.2 Restraint 2
  • 4.4 Opportunities
    • 4.4.1 Opportunity1
    • 4.4.2 Opportunity 2
  • 4.5 Porters Five Force Model
  • 4.6 Value Chain Analysis
  • 4.7 Pricing Analysis
  • 4.8 Macroeconomic Analysis

5 GLOBAL SMART HOSPITALITY MARKET, BY TYPE

  • 5.1 Overview
  • 5.2 Business Hotels
  • 5.3 Heritage and Boutique Hotels
  • 5.4 Resorts and Spas
  • 5.5 Others

6 GLOBAL SMART HOSPITALITY MARKET, BY APPLICATION

  • 6.1 Overview
  • 6.2 Hotels
  • 6.3 Cruise
  • 6.4 Luxury Yachts
  • 6.5 Others

7 Smart Hospitality Market, By Deployment Mode

  • 7.1 Cloud-Based
  • 7.2 On-premise

8 GLOBAL SMART HOSPITALITY MARKET, BY GEOGRAPHY

  • 8.1 Overview
  • 8.2 North America
    • 8.2.1 U.S.
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 U.K.
    • 8.3.3 France
    • 8.3.4 Italy
    • 8.3.5 Spain
    • 8.3.6 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 China
    • 8.4.2 Japan
    • 8.4.3 India
    • 8.4.4 Rest of Asia Pacific
  • 8.5 Latin America
    • 8.5.1 Brazil
    • 8.5.2 Argentina
    • 8.5.3 Rest of Latin America
  • 8.6 Middle-East and Africa
    • 8.6.1 UAE
    • 8.6.2 Saudi Arabia
    • 8.6.3 South Africa
    • 8.6.4 Rest of Middle-East and Africa

9 GLOBAL SMART HOSPITALITY MARKET COMPETITIVE LANDSCAPE

  • 9.1 Overview
  • 9.2 Company Market Ranking
  • 9.3 Key Developments
  • 9.4 Company Regional Footprint
  • 9.5 Company Industry Footprint
  • 9.6 ACE Matrix

10 COMPANY PROFILES

  • 10.1 Schneider Electric
    • 10.1.1 Company Overview
    • 10.1.2 Company Insights
    • 10.1.3 Product Benchmarking
    • 10.1.4 Key Developments
    • 10.1.5 Winning Imperatives
    • 10.1.6 Current Focus & Strategies
    • 10.1.7 Threat from Competition
    • 10.1.8 SWOT Analysis
  • 10.2 Siemens AG
    • 10.2.1 Company Overview
    • 10.2.2 Company Insights
    • 10.2.3 Product Benchmarking
    • 10.2.4 Key Developments
    • 10.2.5 Winning Imperatives
    • 10.2.6 Current Focus & Strategies
    • 10.2.7 Threat from Competition
    • 10.2.8 SWOT Analysis
  • 10.3 IBM Corporation
    • 10.3.1 Company Overview
    • 10.3.2 Company Insights
    • 10.3.3 Product Benchmarking
    • 10.3.4 Key Developments
    • 10.3.5 Winning Imperatives
    • 10.3.6 Current Focus & Strategies
    • 10.3.7 Threat from Competition
    • 10.3.8 SWOT Analysis
  • 10.4 Honeywell International
    • 10.4.1 Company Overview
    • 10.4.2 Company Insights
    • 10.4.3 Product Benchmarking
    • 10.4.4 Key Developments
    • 10.4.5 Winning Imperatives
    • 10.4.6 Current Focus & Strategies
    • 10.4.7 Threat from Competition
    • 10.4.8 SWOT Analysis
  • 10.5 Winhotel Solutions
    • 10.5.1 Company Overview
    • 10.5.2 Company Insights
    • 10.5.3 Product Benchmarking
    • 10.5.4 Key Developments
    • 10.5.5 Winning Imperatives
    • 10.5.6 Current Focus & Strategies
    • 10.5.7 Threat from Competition
    • 10.5.8 SWOT Analysis
  • 10.6 Cisco Systems
    • 10.6.1 Company Overview
    • 10.6.2 Company Insights
    • 10.6.3 Product Benchmarking
    • 10.6.4 Key Developments
    • 10.6.5 Winning Imperatives
    • 10.6.6 Current Focus & Strategies
    • 10.6.7 Threat from Competition
    • 10.6.8 SWOT Analysis
  • 10.7 Oracle Corporation
    • 10.7.1 Company Overview
    • 10.7.2 Company Insights
    • 10.7.3 Product Benchmarking
    • 10.7.4 Key Developments
    • 10.7.5 Winning Imperatives
    • 10.7.6 Current Focus & Strategies
    • 10.7.7 Threat from Competition
    • 10.7.8 SWOT Analysis
  • 10.8 Huawei Technologies
    • 10.8.1 Company Overview
    • 10.8.2 Company Insights
    • 10.8.3 Product Benchmarking
    • 10.8.4 Key Developments
    • 10.8.5 Winning Imperatives
    • 10.8.6 Current Focus & Strategies
    • 10.8.7 Threat from Competition
    • 10.8.8 SWOT Analysis
  • 10.9 Johnson Controls
    • 10.9.1 Company Overview
    • 10.9.2 Company Insights
    • 10.9.3 Product Benchmarking
    • 10.9.4 Key Developments
    • 10.9.5 Winning Imperatives
    • 10.9.6 Current Focus & Strategies
    • 10.9.7 Threat from Competition
    • 10.9.8 SWOT Analysis
  • 10.10 NEC Corporation
    • 10.10.1 Company Overview
    • 10.10.2 Company Insights
    • 10.10.3 Product Benchmarking
    • 10.10.4 Key Developments
    • 10.10.5 Winning Imperatives
    • 10.10.6 Current Focus & Strategies
    • 10.10.7 Threat from Competition
    • 10.10.8 SWOT Analysis

11. VERIFIED MARKET INTELLIGENCE

  • 11.1 About Verified Market Intelligence
  • 11.2 Dynamic Data Visualization