The artificial intelligence (AI)-driven travel experience personalization market size is expected to see rapid growth in the next few years. It will grow to $3.67 billion in 2030 at a compound annual growth rate (CAGR) of 19.8%. The growth during the forecast period can be attributed to advancements in generative AI models, rising demand for personalized marketing, increasing adoption among SMEs, integration with marketing automation platforms, and growth of video-first digital strategies. Major trends in the forecast period include hyper-personalized short-form video narratives, platform-specific script optimization, real-time trend-responsive script generation, automated multilingual and localization capabilities, and enablement of the creator economy through AI tools.
The increasing adoption of cloud-based solutions is anticipated to support the growth of the artificial intelligence (AI)-driven travel experience personalization market. Cloud-based solutions provide computing resources, including storage, processing capacity, and applications, through the internet, delivering scalable, flexible, and cost-efficient IT resources. These capabilities enable travel companies to handle substantial volumes of data in real time and operate AI algorithms that produce personalized travel recommendations, optimize travel itineraries, and improve customer experiences. For instance, in December 2023, according to Eurostat, a European Union-based statistical agency, 45.2% of EU enterprises purchased cloud computing services in 2023, compared with 41.0% in 2022. Therefore, the increasing penetration of cloud-based solutions is supporting the growth of the artificial intelligence-driven travel experience personalization market.
Key companies operating in the artificial intelligence (AI)-driven travel experience personalization market are focusing on developing innovative solutions, such as multilingual generative AI-powered trip planning assistants, to improve personalized travel recommendations and simplify itinerary creation. These AI systems are capable of understanding multiple languages and generating context-aware travel recommendations, allowing users to efficiently develop customized itineraries. 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, providing personalized, real-time travel recommendations and assisting users with booking and post-booking support through a single interface. Covering key travel categories, including flights, hotels, holidays, ground transportation, visas, and forex, the assistant enables users to manage travel plans, modify itineraries, and receive 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 provide seamless, personalized, and real-time passenger experiences throughout the entire travel journey, enabling improved coordination between airlines and airports, enhancing communication during disruptions, and providing passengers with timely and relevant information and services through 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.
This product will be delivered within 1-3 business days.
Table of Contents
Executive Summary
Artificial Intelligence (AI)-Driven Travel Experience Personalization 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)-driven travel experience personalization 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.
Reasons to Purchase:
- Gain a truly global perspective with the most comprehensive report available on this market covering 16 geographies.
- Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, inflation and interest rate fluctuations, and evolving regulatory landscapes.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on end user analysis.
- Benchmark performance against key competitors based on market share, innovation, and brand strength.
- Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
- Suitable for supporting your internal and external presentations with reliable high-quality data and analysis
- Report will be updated with the latest data and delivered to you along with an Excel data sheet for easy data extraction and analysis.
- All data from the report will also be delivered in an excel dashboard format.
Description
Where is the largest and fastest growing market for artificial intelligence (ai)-driven travel experience personalization? 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)-driven travel experience personalization 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: Cloud; On-Premises
3) By Enterprise Size: Small And Medium Enterprises; Large Enterprises
4) By Application: Flight Booking; Hotel Booking; Trip Planning; Customer Support; Recommendation Engines; Other Applications
5) By End-User: Travel Agencies; Airlines; Hotels And Resorts; Online Travel Platforms; Other End-Users
Subsegments:
1) By Software: Machine Learning Platforms; Natural Language Processing Tools; Computer Vision Systems; Recommendation Engines; Data Analytics Solutions2) By Services: Consulting Services; Implementation Services; Support And Maintenance Services; Training Services; Managed Services
Companies Mentioned: 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.
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
- Expert Consultant Support
Companies Mentioned
- 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.

