Global AI in Hospitality and Tourism Market Size was valued at USD 2.9 Bn in 2024 and is predicted to reach USD 36.5 Bn by 2034 at a 28.9% CAGR during the forecast period for 2025-2034.
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.
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.
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.
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.
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.
| Report Attribute | Specifications |
| Market Size Value In 2024 | USD 2.9 Bn |
| Revenue Forecast In 2034 | USD 36.5 Bn |
| Growth Rate CAGR | CAGR of 28.9% from 2025 to 2034 |
| Quantitative Units | Representation of revenue in US$ Bn and CAGR from 2025 to 2034 |
| Historic Year | 2021 to 2024 |
| Forecast Year | 2025-2034 |
| 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 | Explore pricing alternatives that are customized to your particular study requirements. |
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, 2024 & 2034
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 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, 2024 & 2034
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 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, 2024 & 2034
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 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, 2021-2034
8.1.2. North America Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2021-2034
8.1.3. North America Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.1.4. North America Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
8.2. Europe
8.2.1. Europe Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
8.2.2. Europe Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2021-2034
8.2.3. Europe Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.2.4. Europe Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
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, 2021-2034
8.3.2. Asia Pacific Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2021-2034
8.3.3. Asia-Pacific Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.3.4. Asia Pacific Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
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, 2021-2034
8.4.2. Latin America Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2021-2034
8.4.3. Latin America Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.4.4. Latin America Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
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, 2021-2034
8.5.2. Middle East & Africa Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2021-2034
8.5.3. Middle East & Africa Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.5.4. Middle East & Africa Artificial Intelligence in the Hospitality and Tourism Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
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
AI in Hospitality and Tourism Market- By Type
AI in Hospitality and Tourism Market- By Application
AI in Hospitality and Tourism Market- By End User
AI in Hospitality and Tourism Market- By Region
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-