Artificial Intelligence in Tourism: Market to Grow 4.5 Times by 2030

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The global market for artificial intelligence in tourism is valued at $2.95 billion in 2024 and may reach $13.38 billion by 2030. Research and Markets notes that an annual growth rate of nearly 29% is driven by the active adoption of AI technologies in transportation, hospitality, and car rental.

Key Directions

The Artificial Intelligence in Tourism Market report covers the period 2024–2030, spans 293 pages, and explores not only forecasts and market drivers but also case studies, best practices, and emerging business models. According to Research and Markets, new algorithms make tourism services significantly more convenient for clients.

Booking websites offer personalized recommendations and use dynamic pricing. Airlines are adopting chatbots and baggage tracking systems. Cruise lines employ analytics to plan routes and improve safety. At the same time, AI enhances companies’ operational efficiency: big data analysis helps optimize schedules, adjust routes in real time, and reduce service costs.

The fastest growth is shown in the car rental and mobility services segment. Here, AI is used to forecast demand, manage fleets, and automatically adjust tariffs based on market conditions. Users benefit from better car selection, route tips, and real-time traffic updates, while companies cut call-center costs and boost satisfaction through 24/7 virtual assistants.

The largest segment is expected to remain the travel industry itself—from online bookings to air, rail, and bus transport. AI helps improve user interfaces, speed up option comparisons, and ensure access to up-to-date flight information. Predictive maintenance reduces the risk of delays.

In hospitality, AI is applied primarily to service personalization. Hotels use technology to streamline check-in, analyze feedback, and build loyalty programs. More attention is given to integrating AI with existing management systems and working with real-time data. A notable example is Homaris, which increased guest satisfaction using Duve AI’s Smartpriority tool: the system distributed service priorities and responded to requests faster. Such solutions show that AI is not only an automation tool but also a way to build closer relationships with travelers.

Regional Dynamics

The Asia-Pacific region is expected to become the global leader in AI adoption in tourism. In Singapore, the iFerret system, scanning runways for debris and animals, was fully operational by the end of 2024. In Seoul, since December 2023, the Tabo taxi service for foreigners and an instant translation system in the metro have been running. In Japan, the government allocated about $470 million for AI in tourism, including KDDI projects aimed at enhancing the tourist experience and promoting sustainable practices. By 2030, the Asian AI in tourism market may reach $3.3 billion with nearly 29% annual growth.

Other regions also show steady dynamics. The Middle East and Africa will reach about $990 million with around 21% annual growth, while Latin America may approach $617 million at about 20% yearly. North America maintains leadership in generative AI, accounting for over 40% of the global market, with projected annual growth of 26%. Europe remains among the key regions, with adoption particularly notable in online booking and hospitality.

Real Cases and Business Models

The main market drivers include the growing need for personalized services and the use of data automation tools to simplify management decisions. Opportunities include flight forecasting, expanding the use of generative AI, and developing sustainable tourism. The main barriers involve high implementation costs and data privacy issues, especially for global players operating across jurisdictions.

The report presents practical case studies showing how AI is already transforming tourism. Booking.com uses AWS cloud services and generative models to provide a “new world of travel” with more accurate recommendations and personalized options. Travelpass nearly halved costs while offering users better-selected routes.

Brazil’s A1 Inteligencia em Viagens improved team efficiency with Power Automate and Copilot Studio tools. Homaris boosted guest satisfaction by implementing Duve AI’s Smartpriority, which helps quickly distribute service priorities.

Business models are changing as well. Among the most visible trends are the shift to subscription services, data monetization, AI-enhanced loyalty programs, and dynamic pricing. Tourism companies use analytics to design tailored service packages and new revenue streams. Best practices highlighted include personalization, integration with existing systems, real-time data management, security and privacy compliance, and human-AI collaboration.

Market Leaders

The competitive landscape combines global tech giants and niche developers. Leaders include:

Snowflake, IBM, NVIDIA;
Microsoft, AWS, Salesforce;
Huawei, Sabre, SAS Institute;
Appier, Travelport, and Amadeus.

They are joined by fast-growing startups such as Devox Software, AltexSoft, Jio Haptik, Duve, Persado, Canary Technologies, Mize, FLYR, Geovea, and Layla AI. Key strategies involve partnerships, collaborations, new product launches, and acquisitions.

Analysts emphasize that artificial intelligence is no longer a niche tool but is becoming the foundation of the tourism industry. In many countries, solutions are being actively tested and rapidly scaled, transforming traveler services and boosting business efficiency. By 2030, AI in tourism will evolve from an innovation into a mandatory industry standard, defining competitiveness and shaping new customer expectations.