Smart Hospitality Market Size and Forecast (2020 - 2033), Global and Regional Growth, Trend, Share and Industry Analysis Report Coverage; By Component: (Software and Services); By Deployment (Cloud-Based and On-Premise); By Hotel Type (Business Hotels, Heritage and Boutique Hotels, Resorts and Spas, Luxury Hotels, Cruises, Luxury Yachts and Others) and Geography


PUBLISHED ON
2025-11-03
CATEGORY NAME
ICT

Description

Smart Hospitality Market Overview

The Global Smart Hospitality Market is undergoing a significant transformation, driven by the integration of advanced technologies to enhance guest experience, optimize operational efficiency, and meet the rising demand for personalized and contactless services.  Valued at USD 44.45 billion in 2025, the market is projected to reach USD 274.67 billion by 2033, growing at a CAGR of 25.7% during the forecast period.

Smart Hospitality Market

The Global Smart Hospitality Market refers to the market encompassing advanced technology solutions and services designed to enhance the operations, management, and guest experiences within the hospitality industry. The Global Smart Hospitality Market is all about leveraging digital, automated, and IoT-enabled solutions to modernize the hospitality sector and deliver superior guest experiences. The Global Smart Hospitality Market is a rapidly evolving sector leveraging advanced technologies to enhance guest experiences, optimize operations, and improve efficiency within the hospitality industry. The global smart hospitality market is experiencing rapid growth, driven by advancements in technology and evolving consumer expectations.

Smart Hospitality Market Drivers and Opportunities

Demand for Personalized Guest Experiences is anticipated to lift the Smart Hospitality market growth during the forecast period

The demand for personalized guest experiences is a significant driver of the global smart hospitality market, influencing its rapid growth and technological advancements. Personalization in hospitality involves tailoring services and amenities to individual guest preferences, enhancing satisfaction and loyalty. This trend is propelled by advancements in Internet of Things (IoT) technologies, artificial intelligence (AI), and data analytics, enabling hotels to offer customized experiences that meet the evolving expectations of modern travelers. Hotels are leveraging data analytics and AI to understand guest preferences and behaviors, allowing them to offer personalized services such as customized room settings, tailored recommendations for dining and activities, and personalized communication. Furthermore, the integration of smart technologies enables hotels to streamline operations and improve efficiency, which contributes to cost savings and enhanced service delivery. As guests increasingly expect personalized and seamless experiences, the adoption of smart hospitality solutions is becoming essential for hotels aiming to stay competitive in the market.

Adoption of Contactless and Mobile-First Solutions is a vital driver for influencing the growth of the global Smart Hospitality market

The pervasive adoption of contactless and mobile-first solutions is a primary catalyst driving the lucrative growth of the Global Smart Hospitality Market, as these technologies directly address modern guest demands for convenience, efficiency, and safety while simultaneously optimizing hotel operations. This movement encompasses everything from mobile check-in/out and digital key delivery to in-app service requests and QR code-based ordering, all of which streamline the guest journey. A key statistical driver is the sheer reliance on mobile devices for travel: currently, more than a third of hotel bookings are made on mobile, a figure that dramatically jumps to 80% for last-minute bookings, compelling hoteliers to adopt a mobile-first strategy. Major chains have validated this approach with tangible results; for instance, Hilton's Digital Key program has been used for over 150 million room entries globally, reducing check-in time by an average of seven minutes per guest while maintaining high satisfaction. By automating front-desk tasks, hotels can reallocate staff to value-adding concierge services, and the digital nature of these interactions provides vast amounts of data for hyper-personalization, which, in turn, boosts guest satisfaction scores by as much as 25% within six months of implementation, establishing a powerful feedback loop for market expansion.

Integration of Artificial Intelligence (AI) and Internet of Things (IoT) is poised to create significant opportunities in the global Smart Hospitality market

The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) is set to generate a profoundly lucrative opportunity for the Global Smart Antenna Market, primarily by driving demand for advanced, self-optimizing wireless communication systems, particularly with the global rollout of 5G networks. This integration elevates smart antennas from passive components to intelligent network assets capable of real-time, dynamic performance adjustment. For example, the need to support the massive projected growth of connected devices, with forecasts suggesting the number of global IoT devices could exceed 75 billion by 2025, directly propels the smart antenna market. AI-powered smart antennas use machine learning to execute real-time beamforming optimization, directing radio frequency (RF) energy precisely to individual IoT devices (like sensors in a smart city or components in an autonomous vehicle), minimizing interference, and maximizing spectral efficiency. This intelligence is crucial for complex, high-demand scenarios like vehicle-to-everything (V2X) communication, where continuous, low-latency connectivity is non-negotiable. Furthermore, AI enables Predictive Network Management, allowing antennas to anticipate traffic patterns and interference sources across large IoT networks, thus proactively adjusting antenna behavior to prevent connectivity issues. This symbiotic relationship between AI, the data-generating IoT, and the enhanced capabilities of smart antennas creates a foundation for highly efficient, reliable, and energy-conscious wireless infrastructure, cementing their vital role in next-generation applications.

Smart Hospitality Market Scope

Report Attributes

Description

Market Size in 2025

USD 44.45 Billion

Market Forecast in 2033

USD 274.67 Billion

CAGR % 2025-2033

25.7%

Base Year

2024

Historic Data

2020-2024

Forecast Period

2025-2033

Report USP

 

Production, Consumption, Company Share, Company Heatmap, Company Production, Service Type, Growth Factors and more

Segments Covered

        By Component

        By Deployment

        By Hotel Type

Regional Scope

        North America

        Europe

        APAC

        Latin America

        Middle East and Africa

Country Scope

1)      U.S.

2)      Canada

3)      U.K.

4)      Germany

5)      France

6)      Italy

7)      Spain

8)      Netherlands

9)      China

10)   India

11)   Japan

12)   South Korea

13)   Australia 

14)   Mexico

15)   Brazil

16)   Argentina

17)   Saudi Arabia

18)   UAE

19)   Egypt

20)   South Africa

 

Smart Hospitality Market Report Segmentation Analysis

The global Smart Hospitality Market industry analysis is segmented by Component, Deployment, Hotel Type, and Region.

Software Dominates the Component Segment

By Component, the Smart Hospitality market is segmented into Software (Property Management System (PMS), Guest Experience Management System, Integrated Security Management, Facility Management Software/Hotel Building Automation System (HBAS), Network Management Software, Point of Sale (POS) Software, Hotel Operation Management, Revenue Management, Room Automation and Control System and Others) and Services (Professional and Managed). The software component holds the largest market share of the total revenue in 2024. This dominance is attributed to the widespread adoption of hotel management software, including property management systems (PMS), guest experience management tools, and integrated security systems, which enhance operational efficiency and guest satisfaction.

Smart Hospitality Market

Cloud holds the highest share of the Deployment Segment

On the basis of Deployment, the market is bifurcated into Cloud-Based and On-Premise. The cloud-based segment holds a dominant position in the market, driven by its flexibility, scalability, and cost-effectiveness. Cloud solutions enable remote access, real-time updates, and integration with Internet of Things (IoT) and Artificial Intelligence (AI) technologies, enhancing operational agility and guest experience. The cloud segment is expected to continue its robust growth trajectory, driven by the increasing integration of IoT, AI, and cloud-based solutions within the hospitality industry. These technologies enable personalized guest experiences, streamlined operations, and improved energy efficiency.

Business Hotel Segment Leads by Hotel Type

In terms of Hotel Type, the Smart Hospitality market is segmented into Business Hotels, Heritage and Boutique Hotels, Resorts and Spas, Luxury Hotels, Cruises, Luxury Yachts, and Others. Business Hotels establishments cater primarily to business travelers and are the largest adopters of smart hospitality solutions. The integration of technologies such as mobile check-ins, automated room controls, and data analytics enhances operational efficiency and meets the high expectations of corporate clients.

The following segments are part of an in-depth analysis of the global Smart Hospitality Market:

Market Segments

By Component 

        Software

o   Property Management System (PMS)

o   Guest Experience Management System

o   Integrated Security Management

o   Facility Management Software/Hotel Building Automation System (HBAS)

o   Network Management Software

o   Point of Sale (POS) Software

o   Hotel Operation Management

o   Revenue Management

o   Room Automation and Control System

o   Others

        Services

o   Professional

o   Managed

By Deployment 

        Cloud-Based

        On-Premise

By  Hotel Type

        Business Hotels

        Heritage and Boutique Hotels

        Resorts and Spas

        Luxury Hotels

        Cruises

        Luxury Yachts

        Others

 

Smart Hospitality Market Share Analysis by Region

The Europe region is projected to hold the largest share of the global Smart Hospitality Market over the forecast period.

Europe holds the largest share of the global smart hospitality market, accounting for approximately 33.5%. This dominance is driven by technological advancements, a well-established digital infrastructure, and a strong emphasis on enhancing customer experiences through smart room solutions, energy efficiency, and AI-driven personalization. Countries like the United Kingdom are leading the way in integrating smart technologies into hospitality operations. Furthermore, the Asia Pacific region is poised to experience the highest growth rate in the smart hospitality market. This growth is driven by rapid urbanization, increasing disposable incomes, and a burgeoning middle class, leading to higher demand for modern and tech-enabled hospitality services. Countries like China, India, and Japan are at the forefront of this expansion, with significant investments in smart hotel projects and infrastructure development. For instance, India recorded a new high with 693 hotel projects comprising 88,884 rooms under development during the January-March 2025 quarter, marking a 19% increase in projects and a 27% rise in rooms year-on-year.

Global Smart Hospitality Market Recent Developments News:

  • In September 2025, Marriott International expanded its footprint in India through a partnership with CG Hospitality, launching a new midscale and upscale-focused brand, Series by Marriott. This collaboration integrates 84 operational Fern Hotels, approximately 6,000 rooms, into Marriott’s portfolio, supporting rapid growth in the midscale and upscale categories.
  • In August 2025, Nightfood Holdings is strategically building an $80 million portfolio of high-quality hotel assets through a series of acquisitions. The company is leveraging AI and robotics to enhance service efficiency and address labor shortages, reflecting the industry's shift towards automation and smart technologies.
  • In December 2024, Pyramid Global Hospitality's European division, Hamilton Pyramid Europe, merged with London-based Axiom Hospitality. This merger aims to strengthen their market position in Europe, combining resources and expertise to offer enhanced services in the smart hospitality sector.

The Global Smart Hospitality Market is dominated by a few large companies, such as

        Honeywell International Inc.

        IBM Corporation

        Cisco Systems, Inc.

        Oracle Corporation

        Siemens AG

        Samsung Electronics Co., Ltd.

        Intel Corporation

        Microsoft Corporation

        LG Electronics Inc.

        Schneider Electric SE

        Johnson Controls International plc

        ASSA ABLOY AB

        Panasonic Corporation

        Hitachi, Ltd.

        Zebra Technologies Corporation

        Agilysys, Inc.

        Sabre Corporation

        Amadeus IT Group

        NEC Corporation

        Allegion PLC

        Other Prominent Players

Frequently Asked Questions

The Smart Hospitality Market was valued at USD 44.45 Billion in 2025.
The Smart Hospitality Market size will increase at an approximate CAGR of 25.7% during the forecast period.
Major companies operating within the market are Honeywell International Inc., IBM Corporation, Cisco Systems, Inc., Oracle Corporation, Siemens AG, Samsung Electronics Co., Ltd., Intel Corporation and others.
Europe currently leads the market, with the Asia Pacific region projected to grow at the fastest pace.

1.     Global Smart Hospitality Market Introduction and Market Overview

1.1.    Objectives of the Study

1.2.    Global Smart Hospitality Market Scope and Market Estimation

1.2.1.Global Smart Hospitality Market Overall Market Size (US$ Bn), Market CAGR (%), Market forecast (2025 - 2033)

1.2.2.Global Smart Hospitality Market Revenue Share (%) and Growth Rate (Y-o-Y) from 2020 - 2033

1.3.    Market Segmentation

1.3.1.Component of Global Smart Hospitality Market

1.3.2.Deployment of Global Smart Hospitality Market

1.3.3.Hotel Type of Global Smart Hospitality Market

1.3.4.Region of Global Smart Hospitality Market

2.     Executive Summary

2.1.    Demand Side Trends

2.2.    Key Market Trends

2.3.    Market Demand (US$ Bn) Analysis 2020 – 2024 and Forecast, 2025 – 2033

2.4.    Demand and Opportunity Assessment

2.5.    Demand Supply Scenario

2.6.    Market Dynamics

2.6.1.Drivers

2.6.2.Limitations

2.6.3.Opportunities

2.6.4.Impact Analysis of Drivers and Restraints

2.7.    Emerging Trends for Smart Hospitality Market

2.8.    Porter’s Five Forces Analysis

2.9.    PEST Analysis

2.10.  Key Regulation

3.     Global Smart Hospitality Market Estimates & Historical Trend Analysis (2020 - 2024)

4.     Global Smart Hospitality Market Estimates & Forecast Trend Analysis, by Component

4.1.    Global Smart Hospitality Market Revenue (US$ Bn) Estimates and Forecasts, by Component, 2020 - 2033

4.1.1.Software

4.1.1.1.              Property Management System (PMS)

4.1.1.2.              Guest Experience Management System

4.1.1.3.              Integrated Security Management

4.1.1.4.              Facility Management Software/Hotel Building Automation System (HBAS)

4.1.1.5.              Network Management Software

4.1.1.6.              Point of Sale (POS) Software

4.1.1.7.              Hotel Operation Management

4.1.1.8.              Revenue Management

4.1.1.9.              Room Automation and Control System

4.1.1.10.          Others

4.1.2.Services

4.1.2.1.              Professional

4.1.2.2.              Managed

5.     Global Smart Hospitality Market Estimates & Forecast Trend Analysis, by Deployment

5.1.    Global Smart Hospitality Market Revenue (US$ Bn) Estimates and Forecasts, by Deployment, 2020 - 2033

5.1.1.Cloud-Based

5.1.2.On-Premise

6.     Global Smart Hospitality Market Estimates & Forecast Trend Analysis, by Hotel Type

6.1.    Global Smart Hospitality Market Revenue (US$ Bn) Estimates and Forecasts, by Hotel Type, 2020 - 2033

6.1.1.Business Hotels

6.1.2.Heritage and Boutique Hotels

6.1.3.Resorts and Spas

6.1.4.Luxury Hotels

6.1.5.Cruises

6.1.6.Luxury Yachts

6.1.7.Others

7.     Global Smart Hospitality Market Estimates & Forecast Trend Analysis, by Region

1.1.    Global Smart Hospitality Market Revenue (US$ Bn) Estimates and Forecasts, by Region, 2020 - 2033

1.1.1.North America

1.1.2.Europe

1.1.3.Asia Pacific

1.1.4.Middle East & Africa

1.1.5.Latin America

8.     North America Smart Hospitality Market: Estimates & Forecast Trend Analysis

8.1.    North America Smart Hospitality Market Assessments & Key Findings

8.1.1.North America Smart Hospitality Market Introduction

8.1.2.North America Smart Hospitality Market Size Estimates and Forecast (US$ Billion) (2020 - 2033)

8.1.2.1.    By Component

8.1.2.2.    By Deployment

8.1.2.3.    By Hotel Type

8.1.2.4.    By Country

8.1.2.4.1.     The U.S.

8.1.2.4.2.     Canada

9.     Europe Smart Hospitality Market: Estimates & Forecast Trend Analysis

9.1.    Europe Smart Hospitality Market Assessments & Key Findings

9.1.1.Europe Smart Hospitality Market Introduction

9.1.2.Europe Smart Hospitality Market Size Estimates and Forecast (US$ Billion) (2020 - 2033)

9.1.2.1.    By Component

9.1.2.2.    By Deployment

9.1.2.3.    By Hotel Type

9.1.2.4.         By Country

9.1.2.4.1.     Germany

9.1.2.4.2.     Italy

9.1.2.4.3.     U.K.

9.1.2.4.4.     France

9.1.2.4.5.     Spain

9.1.2.4.6.     Netherland

9.1.2.4.7.     Rest of Europe

10.  Asia Pacific Smart Hospitality Market: Estimates & Forecast Trend Analysis

10.1.  Asia Pacific Market Assessments & Key Findings

10.1.1.    Asia Pacific Smart Hospitality Market Introduction

10.1.2.    Asia Pacific Smart Hospitality Market Size Estimates and Forecast (US$ Billion) (2020 - 2033)

10.1.2.1.     By Component

10.1.2.2.     By Deployment

10.1.2.3.     By Hotel Type

10.1.2.4.     By Country

10.1.2.4.1. China

10.1.2.4.2. Japan

10.1.2.4.3. India

10.1.2.4.4. Australia

10.1.2.4.5. South Korea

10.1.2.4.6. Rest of Asia Pacific

11.  Middle East & Africa Smart Hospitality Market: Estimates & Forecast Trend Analysis

11.1.  Middle East & Africa Market Assessments & Key Findings

11.1.1.   Middle East & Africa Smart Hospitality Market Introduction

11.1.2.   Middle East & Africa Smart Hospitality Market Size Estimates and Forecast (US$ Billion) (2020 - 2033)

11.1.2.1.     By Component

11.1.2.2.     By Deployment

11.1.2.3.     By Hotel Type

11.1.2.4.     By Country

11.1.2.4.1. UAE

11.1.2.4.2. Saudi Arabia

11.1.2.4.3. South Africa

11.1.2.4.4. Rest of MEA

12.  Latin America Smart Hospitality Market: Estimates & Forecast Trend Analysis

12.1.  Latin America Market Assessments & Key Findings

12.1.1.   Latin America Smart Hospitality Market Introduction

12.1.2.   Latin America Smart Hospitality Market Size Estimates and Forecast (US$ Billion) (2020 - 2033)

12.1.2.1.     By Component

12.1.2.2.     By Deployment

12.1.2.3.     By Hotel Type

12.1.2.4.     By Country

12.1.2.4.1. Brazil

12.1.2.4.2. Mexico

12.1.2.4.3. Argentina

12.1.2.4.4. Rest of LATAM

13.  Country Wise Market: Introduction

14.  Competition Landscape

14.1.  Global Smart Hospitality Market Product Mapping

14.2.  Global Smart Hospitality Market Concentration Analysis, by Leading Players / Innovators / Emerging Players / New Entrants

14.3.  Global Smart Hospitality Market Tier Structure Analysis

14.4.  Global Smart Hospitality Market Concentration & Company Market Shares (%) Analysis, 2024

15.  Company Profiles

15.1.       Honeywell International Inc.

15.1.1.    Company Overview & Key Stats

15.1.2.    Financial Performance & KPIs

15.1.3.    Product Portfolio

15.1.4.    SWOT Analysis

15.1.5.    Business Strategy & Recent Developments

    * Similar details would be provided for all the players mentioned below 

15.2.       IBM Corporation

15.3.       Cisco Systems, Inc.

15.4.       Oracle Corporation

15.5.       Siemens AG

15.6.       Samsung Electronics Co., Ltd.

15.7.       Intel Corporation

15.8.       Microsoft Corporation

15.9.       LG Electronics Inc.

15.10.   Schneider Electric SE

15.11.   Johnson Controls International plc

15.12.   ASSA ABLOY AB

15.13.   Panasonic Corporation

15.14.   Hitachi, Ltd.

15.15.   Zebra Technologies Corporation

15.16.   Agilysys, Inc.

15.17.   Sabre Corporation

15.18.   Amadeus IT Group

15.19.   NEC Corporation

15.20.   Allegion PLC

15.21.   Other Prominent Players

16.  Research Methodology

16.1.  External Transportations / Databases

16.2.  Internal Proprietary Database

16.3.  Primary Research

16.4.  Secondary Research

16.5.  Assumptions

16.6.  Limitations

16.7.  Report FAQs

17.  Research Findings & Conclusion

Our Research Methodology

"Insight without rigor is just noise."

We follow a comprehensive, multi-phase research framework designed to deliver accurate, strategic, and decision-ready intelligence. Our process integrates primary and secondary research , both quantitative and qualitative , along with dual modeling techniques ( top-down and bottom-up) and a final layer of validation through our proprietary in-house repository.

PRIMARY RESEARCH

Primary research captures real-time, firsthand insights from the market to understand behaviors, motivations, and emerging trends.

1. Quantitative Primary Research

Objective: Generate statistically significant data directly from market participants.

Approaches:
  • Structured surveys with customers, distributors, and field agents
  • Mobile-based data collection for point-of-sale audits and usage behavior
  • Phone-based interviews (CATI) for market sizing and product feedback
  • Online polling around industry events and digital campaigns
Insights generated:
  • Purchase frequency by customer type
  • Channel performance across geographies
  • Feature demand by application or demographic

2. Qualitative Primary Research

Objective: Explore decision-making drivers, pain points, and market readiness.

Approaches:
  • In-depth interviews (IDIs) with executives, product managers, and key decision-makers
  • Focus groups among end users and early adopters
  • Site visits and observational research for consumer products
  • Informal field-level discussions for regional and cultural nuances

SECONDARY RESEARCH

This phase helps establish a macro-to-micro understanding of market trends, size, regulation, and competitive dynamics, sourced from credible and public domain information.

1. Quantitative Secondary Research

Objective: Model market value and segment-level forecasts based on published data.

Sources include:
  • Financial reports and investor summaries
  • Government trade data, customs records, and regulatory statistics
  • Industry association publications and economic databases
  • Channel performance and pricing data from marketplace listings
Key outputs:
  • Revenue splits, pricing trends, and CAGR estimates
  • Supply-side capacity and volume tracking
  • Investment analysis and funding benchmarks

2. Qualitative Secondary Research

Objective: Capture strategic direction, innovation signals, and behavioral trends.

Sources include:
  • Company announcements, roadmaps, and product pipelines
  • Publicly available whitepapers, conference abstracts, and academic research
  • Regulatory body publications and policy briefs
  • Social and media sentiment scanning for early-stage shifts
Insights extracted:
  • Strategic shifts in market positioning
  • Unmet needs and white spaces
  • Regulatory triggers and compliance impact
Market Research Process

DUAL MODELING: TOP-DOWN + BOTTOM-UP

To ensure robust market estimation, we apply two complementary sizing approaches:

Top-Down Modeling:
  • Start with broader industry value (e.g., global or regional TAM)
  • Apply filters by segment, geography, end-user, or use case
  • Adjust with primary insights and validation benchmarks
  • Ideal for investor-grade market scans and opportunity mapping
Bottom-Up Modeling
  • Aggregate from the ground up using sales volumes, pricing, and unit economics
  • Use internal modeling templates aligned with stakeholder data
  • Incorporate distributor-level or region-specific inputs
  • Most accurate for emerging segments and granular sub-markets

DATA VALIDATION: IN-HOUSE REPOSITORY

We close the loop with proprietary data intelligence built from ongoing projects, industry monitoring, and historical benchmarking. This repository includes:

  • Multi-sector market and pricing models
  • Key trendlines from past interviews and forecasts
  • Benchmarked adoption rates, churn patterns, and ROI indicators
  • Industry-specific deviation flags and cross-check logic
Benefits:
  • Catches inconsistencies early
  • Aligns projections across studies
  • Enables consistent, high-trust deliverables