Artificial Intelligence (AI)-Driven Travel Experience Personalization Market Report 2026

The artificial intelligence (AI)-driven travel experience personalization market size has grown exponentially in recent years. It will grow from $3.65 billion in 2025 to $4.58 billion in 2026 at a compound annual growth rate (CAGR) of 25.6%. The growth in the historic period can be attributed to growth of online travel platforms, expansion of digital data availability, adoption of machine learning, demand for personalized services, increase in mobile travel applications.

The artificial intelligence (AI)-driven travel experience personalization market size is expected to see exponential growth in the next few years. It will grow to $11.34 billion in 2030 at a compound annual growth rate (CAGR) of 25.4%. The growth in the forecast period can be attributed to advancement in AI algorithms, growth of omnichannel travel engagement, integration with smart travel ecosystems, rising customer expectations, expansion of predictive analytics use. Major trends in the forecast period include rising adoption of ai based recommendation engines, growth of personalized travel planning solutions, integration of real time customer data analytics, expansion of virtual travel assistants, increasing focus on customer experience optimization.

The rising adoption of cloud-based solutions is anticipated to support the expansion of the artificial intelligence (AI)-driven travel experience personalization market. Cloud-based solutions provide computing services such as data storage, processing capabilities, and applications via the internet, delivering scalable, flexible, and cost-efficient IT resources. These features enable travel companies to analyze large volumes of data in real time and deploy AI algorithms that offer personalized travel recommendations, optimize itineraries, and improve customer experiences. For example, in December 2023, data from Eurostat, a European Union-based statistical agency, indicated that 45.2% of EU enterprises purchased cloud computing services in 2023, an increase from 41% in 2022. Therefore, the growing penetration of cloud-based solutions is driving the growth of the artificial intelligence-driven travel experience personalization market.

Leading companies in the artificial intelligence (AI)-driven travel experience personalization market are developing innovative solutions such as multilingual generative AI-powered trip planning assistants to enhance personalized travel recommendations and streamline itinerary creation. These AI systems can understand multiple languages and provide context-aware travel suggestions, enabling users to create customized itineraries efficiently. For example, in August 2025, MakeMyTrip Limited, an India-based online travel company, launched Myra, a generative AI-powered trip planning assistant. Myra supports English, Hindi, and Hinglish, delivering personalized, real-time travel recommendations and guiding users through booking and post-booking support within a single interface. Covering major travel categories such as flights, hotels, holidays, ground transportation, visas, and forex, the assistant helps users manage travel plans, adjust itineraries, and access AI-driven guidance throughout their journey.

In July 2025, 15below Limited, a UK-based software company, acquired Airport AI for an undisclosed amount. Through this acquisition, 15below aims to combine its airline and airport expertise with Airport AI’s advanced conversational AI technology to deliver seamless, personalized, and real-time passenger experiences throughout the travel journey. This will improve coordination between airlines and airports, enhance communication during disruptions, and offer passengers timely, relevant information and services via a unified digital platform. Airport AI is a UK-based technology company specializing in artificial intelligence-driven solutions for personalized travel experiences.

Major companies operating in the artificial intelligence (AI)-driven travel experience personalization market are Delta Air Lines Inc., Booking Holdings Inc., Expedia Group Inc., Airbnb Inc., Amadeus IT Group S.A., Tripian Inc., Sabre Corporation, AtlasGuru Pvt. Ltd., Agoda Company Pte. Ltd., Tredence Inc., Travelport Limited, Navan Inc., Priceline.com LLC, Arrivia Inc., KAYAK Software Corporation, MakeMyTrip Limited, Sojern Inc., Qloo Inc., Wonder Plan Inc., Utrip Inc.

North America was the largest region in the artificial intelligence (AI)-driven travel experience personalization market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI)-driven travel experience personalization 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)-driven travel experience personalization market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI)-driven travel experience personalization market consists of revenues earned by entities by providing services such as personalized itinerary planning, predictive travel analytics, location-based services, sentiment analysis and feedback management, and voice-activated booking services. 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.

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