The travel and hospitality AI market size has grown strongly in recent years. It will grow from $0.92 billion in 2025 to $1.01 billion in 2026 at a compound annual growth rate (CAGR) of 9.3%. The growth in the historic period can be attributed to increasing digital transformation in travel services, growth of online travel platforms, rising availability of customer data, early adoption of chatbots in hospitality, expansion of global tourism.
The travel and hospitality AI market size is expected to see strong growth in the next few years. It will grow to $1.43 billion in 2030 at a compound annual growth rate (CAGR) of 9.2%. The growth in the forecast period can be attributed to increasing investments in AI-driven customer experience tools, growing demand for hyper-personalized travel services, expansion of smart tourism initiatives, rising adoption of automation in hospitality operations, increasing use of real-time data analytics. Major trends in the forecast period include increasing deployment of AI-powered virtual assistants, rising adoption of personalized travel recommendations, growing use of predictive analytics for demand forecasting, expansion of AI-driven revenue management systems, enhanced integration of customer sentiment analysis.
The rising demand for personalized experiences is anticipated to drive the growth of the travel and hospitality AI market. Personalized experiences involve customized interactions, services, or products tailored to an individual's preferences, behaviors, and needs, which enhances engagement and satisfaction by making individuals feel uniquely attended to. This demand is growing as consumers increasingly expect tailored interactions that boost their overall satisfaction and engagement. Travel and hospitality AI supports these personalized experiences by analyzing data to create custom itineraries, recommendations, and services that align with individual preferences. For example, a survey conducted by Salesforce Inc. in January 2023 with 5,000 consumers revealed that 81% planned to reassess their budgets over the next year for more personalized experiences. In the hospitality sector, 72% of respondents said they would stay loyal to companies offering faster service, and 65% preferred those providing personalized experiences. Consequently, the rising demand for personalized experiences is propelling the growth of the travel and hospitality AI market.
Key players in the travel and hospitality AI market are concentrating on innovative solutions such as generative artificial intelligence to maintain their market position. Generative AI refers to systems that create personalized content, including customized travel itineraries, dynamic pricing models, and bespoke marketing materials, enhancing customer experiences and operational efficiency. For instance, in January 2024, Amadeus IT Group, S.A., a Spain-based IT company, collaborated with Microsoft Corporation, a US-based technology firm, to launch a new AI-powered technology aimed at modernizing hotel business intelligence. This initiative employs generative AI to help hoteliers access and interpret essential business intelligence data more efficiently. A key component is the Amadeus Advisor chatbot, which uses the Azure OpenAI Service to enable natural language queries, making it easier for users to retrieve complex data insights quickly. This advancement simplifies data analysis and makes important information more accessible, even for non-technical staff.
In October 2023, Mews, a Netherlands-based software company, acquired Nomi for an undisclosed amount. This acquisition significantly boosts Mews' capacity to provide hyper-personalized guest experiences through AI and data insights while expanding its product offerings and talent base to foster innovation in hospitality technology. Nomi is a US-based AI startup specializing in travel and hospitality AI.
Major companies operating in the travel and hospitality AI market are Google LLC, Microsoft Corporation, Accenture PLC, International Business Machines Corporation, Oracle Corporation, Salesforce com Inc., Tata Consultancy Services Limited (TCS), Capgemini SE, Infosys Limited, Adobe Inc., Booking Holdings Inc., HCL Technologies Limited, Expedia Group Inc., Wipro Limited, Amadeus IT Group, Sabre Corporation, Concur Technologies (SAP Concur), Travelport Worldwide Limited, Cvent Inc., Trivago N.V., Skyscanner Ltd., Mews Systems, Hopper Inc., Kayak Software Corporation, RateGain Technologies, Revinate Inc., Hotelogix.
Asia-Pacific was the largest region in the travel and hospitality AI market in 2025. The regions covered in the travel and hospitality AI market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the travel and hospitality AI market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs are influencing the travel and hospitality AI market by increasing costs of imported AI servers, GPUs, data processing hardware, and networking equipment required for advanced analytics and machine learning applications. Travel technology providers in North America and Europe are most affected due to dependence on imported computing infrastructure, while Asia-Pacific faces higher deployment costs for AI platforms. These tariffs are increasing implementation expenses and slowing AI rollouts. However, they are also promoting regional AI infrastructure development, local data center investments, and innovation in optimized AI software solutions.
The travel and hospitality AI market research report is one of a series of new reports that provides travel and hospitality AI market statistics, including travel and hospitality AI industry global market size, regional shares, competitors with a travel and hospitality AI market share, detailed travel and hospitality AI market segments, market trends and opportunities, and any further data you may need to thrive in the travel and hospitality AI industry. This travel and hospitality AI market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Travel and hospitality artificial intelligence (AI) refers to the use of AI technologies within the travel and hospitality industry to enhance customer experiences, streamline operations, and improve decision-making. This includes a range of technologies such as machine learning, natural language processing, robotics, and data analytics.
The main types of travel and hospitality AI encompass transportation and hospitality. Transportation AI focuses on technologies that enhance the efficiency and experience of moving people and goods. It is utilized both on the cloud and on-premises and includes AI, the Internet of Things (IoT), augmented reality (AR), virtual reality (VR), big data, and other technologies. Pricing models for these technologies include one-time payments and subscriptions, and the end users include travel agencies, transportation companies, corporations, and hotels.
The travel and hospitality AI market includes revenues earned by entities by providing services such as personalized recommendations, chatbots and virtual assistants, predictive analytics, automated operations, and image and voice recognition. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 1-3 business days.
The travel and hospitality AI market size is expected to see strong growth in the next few years. It will grow to $1.43 billion in 2030 at a compound annual growth rate (CAGR) of 9.2%. The growth in the forecast period can be attributed to increasing investments in AI-driven customer experience tools, growing demand for hyper-personalized travel services, expansion of smart tourism initiatives, rising adoption of automation in hospitality operations, increasing use of real-time data analytics. Major trends in the forecast period include increasing deployment of AI-powered virtual assistants, rising adoption of personalized travel recommendations, growing use of predictive analytics for demand forecasting, expansion of AI-driven revenue management systems, enhanced integration of customer sentiment analysis.
The rising demand for personalized experiences is anticipated to drive the growth of the travel and hospitality AI market. Personalized experiences involve customized interactions, services, or products tailored to an individual's preferences, behaviors, and needs, which enhances engagement and satisfaction by making individuals feel uniquely attended to. This demand is growing as consumers increasingly expect tailored interactions that boost their overall satisfaction and engagement. Travel and hospitality AI supports these personalized experiences by analyzing data to create custom itineraries, recommendations, and services that align with individual preferences. For example, a survey conducted by Salesforce Inc. in January 2023 with 5,000 consumers revealed that 81% planned to reassess their budgets over the next year for more personalized experiences. In the hospitality sector, 72% of respondents said they would stay loyal to companies offering faster service, and 65% preferred those providing personalized experiences. Consequently, the rising demand for personalized experiences is propelling the growth of the travel and hospitality AI market.
Key players in the travel and hospitality AI market are concentrating on innovative solutions such as generative artificial intelligence to maintain their market position. Generative AI refers to systems that create personalized content, including customized travel itineraries, dynamic pricing models, and bespoke marketing materials, enhancing customer experiences and operational efficiency. For instance, in January 2024, Amadeus IT Group, S.A., a Spain-based IT company, collaborated with Microsoft Corporation, a US-based technology firm, to launch a new AI-powered technology aimed at modernizing hotel business intelligence. This initiative employs generative AI to help hoteliers access and interpret essential business intelligence data more efficiently. A key component is the Amadeus Advisor chatbot, which uses the Azure OpenAI Service to enable natural language queries, making it easier for users to retrieve complex data insights quickly. This advancement simplifies data analysis and makes important information more accessible, even for non-technical staff.
In October 2023, Mews, a Netherlands-based software company, acquired Nomi for an undisclosed amount. This acquisition significantly boosts Mews' capacity to provide hyper-personalized guest experiences through AI and data insights while expanding its product offerings and talent base to foster innovation in hospitality technology. Nomi is a US-based AI startup specializing in travel and hospitality AI.
Major companies operating in the travel and hospitality AI market are Google LLC, Microsoft Corporation, Accenture PLC, International Business Machines Corporation, Oracle Corporation, Salesforce com Inc., Tata Consultancy Services Limited (TCS), Capgemini SE, Infosys Limited, Adobe Inc., Booking Holdings Inc., HCL Technologies Limited, Expedia Group Inc., Wipro Limited, Amadeus IT Group, Sabre Corporation, Concur Technologies (SAP Concur), Travelport Worldwide Limited, Cvent Inc., Trivago N.V., Skyscanner Ltd., Mews Systems, Hopper Inc., Kayak Software Corporation, RateGain Technologies, Revinate Inc., Hotelogix.
Asia-Pacific was the largest region in the travel and hospitality AI market in 2025. The regions covered in the travel and hospitality AI market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the travel and hospitality AI market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs are influencing the travel and hospitality AI market by increasing costs of imported AI servers, GPUs, data processing hardware, and networking equipment required for advanced analytics and machine learning applications. Travel technology providers in North America and Europe are most affected due to dependence on imported computing infrastructure, while Asia-Pacific faces higher deployment costs for AI platforms. These tariffs are increasing implementation expenses and slowing AI rollouts. However, they are also promoting regional AI infrastructure development, local data center investments, and innovation in optimized AI software solutions.
The travel and hospitality AI market research report is one of a series of new reports that provides travel and hospitality AI market statistics, including travel and hospitality AI industry global market size, regional shares, competitors with a travel and hospitality AI market share, detailed travel and hospitality AI market segments, market trends and opportunities, and any further data you may need to thrive in the travel and hospitality AI industry. This travel and hospitality AI market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Travel and hospitality artificial intelligence (AI) refers to the use of AI technologies within the travel and hospitality industry to enhance customer experiences, streamline operations, and improve decision-making. This includes a range of technologies such as machine learning, natural language processing, robotics, and data analytics.
The main types of travel and hospitality AI encompass transportation and hospitality. Transportation AI focuses on technologies that enhance the efficiency and experience of moving people and goods. It is utilized both on the cloud and on-premises and includes AI, the Internet of Things (IoT), augmented reality (AR), virtual reality (VR), big data, and other technologies. Pricing models for these technologies include one-time payments and subscriptions, and the end users include travel agencies, transportation companies, corporations, and hotels.
The travel and hospitality AI market includes revenues earned by entities by providing services such as personalized recommendations, chatbots and virtual assistants, predictive analytics, automated operations, and image and voice recognition. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 1-3 business days.
Table of Contents
1. Executive Summary
2. Travel and Hospitality AI Market Characteristics
3. Travel and Hospitality AI Market Supply Chain Analysis
4. Global Travel and Hospitality AI Market Trends and Strategies
5. Travel and Hospitality AI Market Analysis of End Use Industries
7. Global Travel and Hospitality AI Strategic Analysis Framework, Current Market Size, Market Comparisons and Growth Rate Analysis
8. Global Travel and Hospitality AI Total Addressable Market (TAM) Analysis for the Market
9. Travel and Hospitality AI Market Segmentation
10. Travel and Hospitality AI Market, Industry Metrics by Country
11. Travel and Hospitality AI Market Regional and Country Analysis
12. Asia-Pacific Travel and Hospitality AI Market
13. China Travel and Hospitality AI Market
14. India Travel and Hospitality AI Market
15. Japan Travel and Hospitality AI Market
16. Australia Travel and Hospitality AI Market
17. Indonesia Travel and Hospitality AI Market
18. South Korea Travel and Hospitality AI Market
19. Taiwan Travel and Hospitality AI Market
20. South East Asia Travel and Hospitality AI Market
21. Western Europe Travel and Hospitality AI Market
22. UK Travel and Hospitality AI Market
23. Germany Travel and Hospitality AI Market
24. France Travel and Hospitality AI Market
25. Italy Travel and Hospitality AI Market
26. Spain Travel and Hospitality AI Market
27. Eastern Europe Travel and Hospitality AI Market
28. Russia Travel and Hospitality AI Market
29. North America Travel and Hospitality AI Market
30. USA Travel and Hospitality AI Market
31. Canada Travel and Hospitality AI Market
32. South America Travel and Hospitality AI Market
33. Brazil Travel and Hospitality AI Market
34. Middle East Travel and Hospitality AI Market
35. Africa Travel and Hospitality AI Market
37. Travel and Hospitality AI Market Competitive Landscape and Company Profiles
38. Travel and Hospitality AI Market Other Major and Innovative Companies
41. Travel and Hospitality AI Market High Potential Countries, Segments and Strategies
42. Appendix
Executive Summary
Travel And Hospitality AI Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses travel and hospitality AI market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for travel and hospitality AI? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The travel and hospitality AI market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Type: Transportation; Hospitality2) By Deployment Model: Cloud; On-Premises
3) By Technology: Artificial Intelligence (AI); Internet Of Things (IoT); Augmented Reality (AR); Virtual Reality (VR); Big Data; Other Technologies
4) By Pricing Model: One Time Payment; Subscription
5) By End Users: Travel Agencies; Transportation Companies; Corporations; Hotels
Subsegments:
1) By Transportation: AI In Autonomous Vehicles; AI For Traffic And Route Optimization; AI In Air Traffic Management; AI For Predictive Maintenance; AI-Powered Ride-Hailing Services; AI For Travel Planning And Route Suggestions2) By Hospitality: AI-Powered Virtual Assistants And Chatbots; AI For Personalized Customer Experiences; AI In Reservation And Booking Systems; AI For Pricing And Revenue Optimization; AI-Driven Customer Feedback And Sentiment Analysis; AI In Hotel And Resort Operations
Companies Mentioned: Google LLC; Microsoft Corporation; Accenture PLC; International Business Machines Corporation; Oracle Corporation; Salesforce com Inc.; Tata Consultancy Services Limited (TCS); Capgemini SE; Infosys Limited; Adobe Inc.; Booking Holdings Inc.; HCL Technologies Limited; Expedia Group Inc.; Wipro Limited; Amadeus IT Group; Sabre Corporation; Concur Technologies (SAP Concur); Travelport Worldwide Limited; Cvent Inc.; Trivago N.V.; Skyscanner Ltd.; Mews Systems; Hopper Inc.; Kayak Software Corporation; RateGain Technologies; Revinate Inc.; Hotelogix
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Travel and Hospitality AI market report include:- Google LLC
- Microsoft Corporation
- Accenture PLC
- International Business Machines Corporation
- Oracle Corporation
- Salesforce com Inc.
- Tata Consultancy Services Limited (TCS)
- Capgemini SE
- Infosys Limited
- Adobe Inc.
- Booking Holdings Inc.
- HCL Technologies Limited
- Expedia Group Inc.
- Wipro Limited
- Amadeus IT Group
- Sabre Corporation
- Concur Technologies (SAP Concur)
- Travelport Worldwide Limited
- Cvent Inc.
- Trivago N.V.
- Skyscanner Ltd.
- Mews Systems
- Hopper Inc.
- Kayak Software Corporation
- RateGain Technologies
- Revinate Inc.
- Hotelogix
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 1.01 Billion |
| Forecasted Market Value ( USD | $ 1.43 Billion |
| Compound Annual Growth Rate | 9.2% |
| Regions Covered | Global |
| No. of Companies Mentioned | 28 |
