The artificial intelligence (AI) in travel market size is expected to see exponential growth in the next few years. It will grow to $12.11 billion in 2030 at a compound annual growth rate (CAGR) of 22.5%. The growth during the forecast period can be attributed to increasing investments in end-to-end AI travel platforms, rising demand for hyper-personalized travel experiences, expansion of AI-enabled operational optimization, growing emphasis on real-time traveler insights, and increasing adoption of biometric and facial recognition technologies. Major trends during the forecast period include increasing adoption of AI-powered personalization engines, growing use of chatbots and virtual travel assistants, increased deployment of dynamic pricing algorithms, expansion of AI-driven fraud detection systems, and enhanced focus on predictive travel analytics.
The growth in global tourism is anticipated to drive the expansion of the artificial intelligence (AI) in travel market going forward. Global tourism involves individuals traveling internationally for leisure, business, or other purposes, promoting cultural exchange, economic development, and connections worldwide. The increase in global tourism is driven by higher disposable incomes, improved access to international travel, a stronger desire to explore different destinations, and advancements in travel technology. AI in travel enhances tourism by delivering personalized recommendations, automating booking processes, and optimizing customer service, thereby improving overall traveler experiences and operational efficiency. For instance, in 2024, according to the World Travel and Tourism Council, a UK-based travel company, in 2023, the travel and tourism sector contributed 9.1% of global GDP, representing a 23.2% increase compared to 2022. Therefore, the growth in global tourism drives the artificial intelligence (AI) in travel market.
Key companies operating in the artificial intelligence (AI) in travel market are concentrating on technological development, including the integration of artificial intelligence into personalized travel, to improve customer experiences through tailored recommendations, optimized travel itineraries, and real-time assistance. AI in personalized travel customizes travel experiences by using technology to analyze user data and preferences, delivering tailored recommendations for destinations, accommodations, and activities according to individual requirements and previous behaviors. For example, in May 2024, Expedia Group Inc., a US-based travel technology company, launched an AI-powered assistant called Romie. Romie is an AI travel assistant that functions as a personal travel agent, supporting users with planning, booking, and managing last-minute travel changes. It learns users' preferences over time to provide personalized recommendations and includes features for group chat planning, smart search, and itinerary creation.
In May 2024, Headout, a US-based tours and activities platform, acquired Dabble for an undisclosed amount. The acquisition aims to enhance Headout's mission of providing top-tier real-life experiences through advanced AI technology. Dabble is a Canada-based startup that helps companies use artificial intelligence (AI) more effectively to improve travel experience search.
Major companies operating in the artificial intelligence (AI) in travel market are International Business Machines Corporation, Expedia Group Inc., Priceline.com, Booking.com B.V., Airbnb Inc., Sabre Corporation, TripAdvisor Inc., Agoda Company Pte. Ltd., SAP Concur, Travelport Worldwide Ltd., Hotelbeds Group, Skyscanner Ltd., Trivago N.V., MakeMyTrip Limited, Fareportal, Kayak Software Corporation, Despegar.com Inc., Cendyn Group LLC, Hopper, Cleartrip Private Limited, Sojern Inc., OTA Insight Ltd., Adara Inc., Viator Inc., Duetto.
North America was the largest region in the artificial intelligence (AI) in travel market in 2025. The regions covered in the artificial intelligence (AI) in travel market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the artificial intelligence (AI) in travel market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The artificial intelligence (AI) in travel market includes revenues earned by entities by providing services such as personalized recommendations, virtual assistants and chatbots, dynamic pricing, and predictive analytics for travel demand. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in travel market also includes sales of kiosks and self-service terminals and robotic assistants. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
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Table of Contents
Executive Summary
Artificial Intelligence (AI) In Travel Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence (ai) in travel 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 artificial intelligence (ai) in travel? 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 artificial intelligence (ai) in travel 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.
Scope
Markets Covered:
1) By Component: Software; Services2) By Deployment mode: On-Premises; Cloud-Based
3) By Application: Customer Service; Booking And Reservations; Travel Planning And Personalization; Marketing And Advertising; Operations Management; Security And Fraud Detection
Subsegments:
1) By Software: AI-powered Travel Booking Platforms; Chatbots and Virtual Assistants; Personalization and Recommendation Engines; Revenue Management Software; Customer Relationship Management (CRM) Tools2) By Services: Consulting Services; Implementation and Integration Services; Data Analytics and Insights Services; Training and Support Services; Digital Marketing Services
Companies Mentioned: International Business Machines Corporation; Expedia Group Inc.; Priceline.com; Booking.com B.V.; Airbnb Inc.; Sabre Corporation; TripAdvisor Inc.; Agoda Company Pte. Ltd.; SAP Concur; Travelport Worldwide Ltd.; Hotelbeds Group; Skyscanner Ltd.; Trivago N.V.; MakeMyTrip Limited; Fareportal; Kayak Software Corporation; Despegar.com Inc.; Cendyn Group LLC; Hopper; Cleartrip Private Limited; Sojern Inc.; OTA Insight Ltd.; Adara Inc.; Viator Inc.; Duetto
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 Segmentations: 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
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Companies Mentioned
- International Business Machines Corporation
- Expedia Group Inc.
- Priceline.com
- Booking.com B.V.
- Airbnb Inc.
- Sabre Corporation
- TripAdvisor Inc.
- Agoda Company Pte. Ltd.
- SAP Concur
- Travelport Worldwide Ltd.
- Hotelbeds Group
- Skyscanner Ltd.
- Trivago N.V.
- MakeMyTrip Limited
- Fareportal
- Kayak Software Corporation
- Despegar.com Inc.
- Cendyn Group LLC
- Hopper
- Cleartrip Private Limited
- Sojern Inc.
- OTA Insight Ltd.
- Adara Inc.
- Viator Inc.
- Duetto

