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Artificial Intelligence (AI) In Travel Market Forecast: What Value Will The Market Reach By 2030?
The artificial intelligence (ai) in travel market size has witnessed substantial growth over recent years. The market is projected to expand from $165.93 billion in 2025 to $222.4 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 34.0%. This historical expansion can be linked to factors such as the increase in online travel booking platforms, the broader utilization of digital customer service tools, the development of data-driven marketing within the travel industry, escalating cloud adoption, and the greater availability of travel data.
The artificial intelligence (AI) in travel market is anticipated to experience substantial growth in the coming years. This market is projected to reach $710.57 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 33.7%. Factors contributing to this expansion during the forecast period include greater investments in comprehensive AI travel platforms, a growing need for highly personalized travel experiences, the broadening of AI-driven operational optimization, an intensified focus on immediate traveler insights, and the increased implementation of biometric and facial recognition technologies. Key trends expected throughout this period encompass the wider adoption of AI-powered personalization engines, an increase in the utilization of chatbots and virtual travel assistants, the expanding implementation of dynamic pricing algorithms, the growth of AI-driven fraud detection systems, and a heightened emphasis on predictive travel analytics.
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Artificial Intelligence (AI) In Travel Market Expansion Drivers: What’s Shaping Future Growth?
The future expansion of the artificial intelligence (AI) in travel market is expected to be propelled by the rise in global tourism. Global tourism entails individuals traveling internationally for leisure, business, or other motives, thereby promoting cultural exchange, economic advancement, and worldwide connections. This surge in global tourism is fueled by higher disposable incomes, improved access to international travel, a greater desire to explore different destinations, and progress in travel technology. AI in travel enhances tourism by delivering personalized recommendations, automating bookings, and optimizing customer service, which leads to better overall traveler experiences and operational efficiency. For instance, the World Travel and Tourism Council, a UK-based travel company, reported in 2024 that the travel and tourism sector accounted for 9.1% of the global GDP in 2023, representing a 23.2% increase compared to 2022. Therefore, the growth in global tourism drives the artificial intelligence (AI) in travel market.
Artificial Intelligence (AI) In Travel Market Breakdown By Product Type And Application
The artificial intelligence (ai) in travel market covered in this report is segmented –
1) By Component: Software, Services
2) 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) Tools
2) By Services: Consulting Services, Implementation and Integration Services, Data Analytics and Insights Services, Training and Support Services, Digital Marketing Services
Artificial Intelligence (AI) In Travel Market Strategic Trends: What Defines The Next Growth Phase?
Major companies within the artificial intelligence (AI) in travel market are concentrating on technological advancement, particularly the integration of artificial intelligence into personalized travel, to elevate customer experiences by delivering customized recommendations, optimizing travel itineraries, and offering real-time assistance. AI in personalized travel customizes travel experiences by leveraging technology to analyze user information and preferences, subsequently providing tailored suggestions for destinations, accommodations, and activities based on individual requirements and past behaviors. For instance, in May 2024, Expedia Group Inc., a US-based travel technology company, launched an AI-powered assistant known as Romie. Romie serves as an AI travel assistant, acting as a personal travel agent who assists with planning, booking, and managing last-minute travel adjustments. It learns the user’s preferences over time to offer personalized recommendations and includes functionalities for group chat planning, smart search, and itinerary building.
Artificial Intelligence (AI) In Travel Market Company Landscape And Competitive Strategy
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
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Artificial Intelligence (AI) In Travel Market Largest Region: Which Geography Holds The Biggest Share?
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
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.