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AI in Hospitality and Tourism Market

AI in Hospitality and Tourism Market Size, Share & Trends Analysis Report, By Type (Natural Language Processing Applications, Machine Learning Algorithms, Computer Vision and Image Recognition, Chatbots and Virtual Assistants, Recommendation Systems, Sentiment Analysis) By Application; By End-User, By Region, Forecasts, 2024-2031

Report ID : 2754 | Published : 2024-09-25 | Pages: 175 | Format: PDF/EXCEL

The AI in Hospitality and Tourism Market Size was valued at USD 16.2 Bn in 2023 and is predicted to reach USD 167.0 Bn by 2031 at a 34.7% CAGR during the forecast period for 2024-2031.

ai in hospitality

Artificial Intelligence (AI) in hospitality and tourism pertains to the utilization of AI technology to improve the overall experience, efficiency, and personalization in these industries. This involves using AI to manage operations, market, provide customer service, and analyze data, among other tasks. The hospitality and tourist industries may optimize their operations and spur growth by incorporating AI technologies, providing clients with more efficient, memorable, and personalized experiences. Visitors look for distinctive and customized experiences. AI assists in the analysis of consumer data to deliver personalized services and recommendations that increase customer loyalty and satisfaction.

The market growth is being driven by several factors including technological advancements, increasing demand for personalization, operational efficiency and cost reduction, enhanced customer service, integration of big data analytics and many others. However, high costs and privacy and security concerns are expected to hinder market growth during the forecast period.

Competitive Landscape

Some of the Major Key Players in the AI in Hospitality and Tourism Market are

  • IBM Corporation
  • Google LLC
  • Amazon Web Services (AWS)
  • Microsoft Corporation
  • Oracle Corporation
  • Salesforce.com, Inc.
  • SAP SE
  • Intel Corporation
  • NVIDIA Corporation
  • Alibaba Group Holding Limited
  • Huawei Technologies Co., Ltd.
  • Accenture PLC
  • Cisco Systems, Inc.
  • Travelport Worldwide Limited
  • Amadeus IT Group S.A.
  • Expedia Group, Inc.
  • Airbnb, Inc.
  • Tripadvisor, Inc.
  • Booking Holdings Inc.
  • Agoda Company Pte. Ltd.
  • Ctrip.com International, Ltd.
  • MakeMyTrip Limited
  • TripAdvisor, Inc.
  • Kayak Software Corporation
  • Trivago N.V.
  • Others

Market Segmentation:

The AI in hospitality and tourism market is segmented based on type, application, and end user. Based on type, the market is segmented as natural language processing, machine learning algorithms, computer vision and image recognition, chatbots and virtual assistants, recommendation systems and sentiment analysis. By application, the market is segmented into customer service and support, personalized marketing and advertising, hotel and room booking systems, virtual concierge services, smart guest room automation, data analytics and business intelligence and revenue management and pricing optimization. Based on end users, the industry is bifurcated into hotels and resorts, airlines and airports, travel agencies and tour operators, restaurants and food service providers, cruise lines and maritime tourism and online travel platforms and booking websites.

Based On Type, The Chatbots And Virtual Assistants Segment Is Accounted As A Major Contributor To The AI In Hospitality And Tourism Market

The chatbots and virtual assistants segment is expected to hold a major share of the global AI in hospitality and tourism market. Without requiring human assistance, chatbots and virtual assistants offer 24/7 customer support by managing questions, reservations, and other duties. This guarantees that visitors may get help whenever they need it, improving their entire experience. These artificial intelligence (AI) products are especially useful in the global hospitality and tourism sector where visitors come from a variety of linguistic backgrounds since they can be taught to understand and reply in numerous languages. The market is growing because of these uses.

The Customer Service and Support Segment Witnessed Growth at a Rapid Rate

Customer service and support are projected to grow at a rapid rate in the global AI in hospitality and tourism market. Artificial intelligence (AI)-powered customer support platforms may resolve typical problems including check-in information, cancellation rules, and booking revisions as well as frequently asked questions (FAQs) without requiring human assistance. AI may also prioritize and triage requests for more complicated problems, sending them to the right human agents and increasing the effectiveness of the customer care process.

In the Region, North America AI in Hospitality and Tourism Market Holds a Significant Revenue Share.

The North America AI in hospitality and tourism market is expected to register the highest market share in terms of revenue in the near future. High adoption rates of AI technologies, a strong emphasis on improving customer experience, and sophisticated technological infrastructure are driving the industry's major expansion in North America's hotel and tourism sector. The area is home to numerous cutting-edge startups and top IT firms that are accelerating the adoption of AI in the travel and hospitality industries. In addition, Asia Pacific is projected to grow at a rapid rate in the global AI in hospitality and tourism market due to rapid digital transformation. Moreover, travel destinations in the Asia Pacific area are among the fastest growing in the globe, with China, Japan, Thailand, and Australia leading the way in terms of foreign visitor arrivals. The need for cutting-edge AI solutions to handle the growing number of tourists and improve their experiences is fueled by this growth.

Recent Developments:

  • In June 2024, the travel IT company Amadeus added a chatbot to its Agency360 Plus data tool as the first step toward integrating Generative AI into its portfolio of business intelligence solutions. The chatbot will be able to respond to queries and requests for data in "natural language" and give hotel companies access to agency and corporate booking data via Microsoft's Azure OpenAI Service.

AI in Hospitality and Tourism Market Report Scope

Report Attribute

Specifications

Market Size Value In 2023

USD 16.2 Bn

Revenue Forecast In 2031

USD 167.0 Bn

Growth Rate CAGR

CAGR of 34.7% from 2024 to 2031

Quantitative Units

Representation of revenue in US$ Million and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Type, By Application, By End-user and By Region

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea

Competitive Landscape

IBM Corporation, Google LLC, Amazon Web Services (AWS), Microsoft Corporation, Oracle Corporation, Salesforce.com, Inc., SAP SE, Intel Corporation, NVIDIA Corporation, Alibaba Group Holding Limited, Huawei Technologies Co., Ltd., Accenture PLC, Cisco Systems, Inc., Travelport Worldwide Limited, Amadeus IT Group S.A., Expedia Group, Inc., Airbnb, Inc., Tripadvisor, Inc., Booking Holdings Inc., Agoda Company Pte. Ltd., Ctrip.com International, Ltd., MakeMyTrip Limited, Kayak Software Corporation, Trivago N.V., and Others.

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing And Available Payment Methods

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Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Artificial Intelligence in the Hospitality and Tourism Market Snapshot

Chapter 4. Global Artificial Intelligence in the Hospitality and Tourism Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by Type Estimates & Trend Analysis
5.1. by Type & Market Share, 2019 & 2031
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Type:

5.2.1. Natural Language Processing (NLP) Applications
5.2.2. Machine Learning Algorithms
5.2.3. Computer Vision and Image Recognition
5.2.4. Chatbots and Virtual Assistants
5.2.5. Recommendation Systems
5.2.6. Sentiment Analysis

Chapter 6. Market Segmentation 2: by End-user Estimates & Trend Analysis
6.1. by End-user & Market Share, 2019 & 2031
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by End-user:

6.2.1. Hotels and Resorts
6.2.2. Airlines and Airports
6.2.3. Travel Agencies and Tour Operators
6.2.4. Restaurants and Food Service Providers
6.2.5. Cruise Lines and Maritime Tourism
6.2.6. Online Travel Platforms and Booking Websites

Chapter 7. Market Segmentation 3: by Application Estimates & Trend Analysis
7.1. by Application & Market Share, 2019 & 2031
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Application:

7.2.1. Customer Service and Support
7.2.2. Personalized Marketing and Advertising
7.2.3. Hotel and Room Booking Systems
7.2.4. Virtual Concierge Services
7.2.5. Smart Guest Room Automation
7.2.6. Data Analytics and Business Intelligence
7.2.7. Revenue Management and Pricing Optimization

Chapter 8. Artificial Intelligence in the Hospitality and Tourism Market Segmentation 4: Regional Estimates & Trend Analysis

8.1. North America
8.1.1. North America Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
8.1.2. North America Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2024-2031
8.1.3. North America Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
8.1.4. North America Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

8.2. Europe
8.2.1. Europe Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
8.2.2. Europe Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2024-2031
8.2.3. Europe Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
8.2.4. Europe Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

8.3. Asia Pacific
8.3.1. Asia Pacific Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
8.3.2. Asia Pacific Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2024-2031
8.3.3. Asia-Pacific Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
8.3.4. Asia Pacific Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

8.4. Latin America
8.4.1. Latin America Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
8.4.2. Latin America Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2024-2031
8.4.3. Latin America Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
8.4.4. Latin America Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

8.5. Middle East & Africa
8.5.1. Middle East & Africa Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
8.5.2. Middle East & Africa Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2024-2031
8.5.3. Middle East & Africa Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
8.5.4. Middle East & Africa Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

Chapter 9. Competitive Landscape
9.1. Major Mergers and Acquisitions/Strategic Alliances
9.2. Company Profiles

9.2.1. IBM Corporation
9.2.2. Google LLC
9.2.3. Amazon Web Services (AWS)
9.2.4. Microsoft Corporation
9.2.5. Oracle Corporation
9.2.6. Salesforce.com, Inc.
9.2.7. SAP SE
9.2.8. Intel Corporation
9.2.9. NVIDIA Corporation
9.2.10. Alibaba Group Holding Limited
9.2.11. Huawei Technologies Co., Ltd.
9.2.12. Accenture PLC
9.2.13. Cisco Systems, Inc.
9.2.14. Travelport Worldwide Limited
9.2.15. Amadeus IT Group S.A.
9.2.16. Expedia Group, Inc.
9.2.17. Airbnb, Inc.
9.2.18. Tripadvisor, Inc.
9.2.19. Booking Holdings Inc.
9.2.20. Agoda Company Pte. Ltd.
9.2.21. Ctrip.com International, Ltd.
9.2.22. MakeMyTrip Limited
9.2.23. TripAdvisor, Inc.
9.2.24. Kayak Software Corporation
9.2.25. Trivago N.V.
9.2.26. Other Market Players

Segmentation of AI in Hospitality and Tourism Market

AI in Hospitality and Tourism Market- By Type

  • Natural Language Processing
  • Machine Learning Algorithms
  • Computer Vision and Image Recognition
  • Chatbots and Virtual Assistants
  • Recommendation Systems
  • Sentiment Analysis

ai in hospitality

AI in Hospitality and Tourism Market- By Application

  • Customer Service and Support
  • Personalized Marketing and Advertising
  • Hotel and Room Booking Systems
  • Virtual Concierge Services
  • Smart Guest Room Automation
  • Data Analytics and Business Intelligence
  • Revenue Management and Pricing Optimization

AI in Hospitality and Tourism Market- By End User

  • Hotels and Resorts
  • Airlines and Airports
  • Travel Agencies and Tour Operators
  • Restaurants and Food Service Providers
  • Cruise Lines and Maritime Tourism
  • Online Travel Platforms and Booking Websites

AI in Hospitality and Tourism Market- By Region

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

 

 

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

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Frequently Asked Questions

How big is the AI in Hospitality and Tourism Market Size?

The AI in Hospitality and Tourism Market is expected to grow at a 34.7% CAGR during the forecast period for 2024-2031.

IBM Corporation, Google LLC, Amazon Web Services (AWS), Microsoft Corporation, Oracle Corporation, Salesforce.com, Inc., SAP SE, Intel Corporation, NV

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