State of AI in Travel & Tourism 2026

By 2026, AI in travel is no longer experimental: around 40% of travelers worldwide use AI-based tools to plan or book trips, and Amadeus recorded a 64% year-on-year jump in generative-AI use. Behind the consumer shift sits a focused AI-in-tourism market that MarketsandMarkets values near USD 2.95B in 2024 and projects to USD 13.38B by 2030 at a 28.7% CAGR.

Planning has gone mainstream, booking lags behind

The clearest 2026 signal is that travelers trust AI for inspiration and itinerary work far more than for the final transaction. A Statista global survey found roughly four in ten consumers reported using an AI-based tool for travel planning by late 2024, and that share has climbed since. Yet conversion behavior shows a trust gap: travelers lean on AI to compare options and draft routes, then revert to familiar booking platforms to pay. The persistent friction is reliability, with hallucinated prices and non-existent hotels still surfacing often enough to keep humans in the loop.

A widening geographic divide

Adoption is far from uniform across markets. Among developed economies the United States leads, with about 33% of travelers using generative AI somewhere in the travel process, ahead of the UK at 22%, France at 19% and Germany at 15%. The pattern inverts in high-growth regions, where over 90% of travelers in markets like India and China say they are willing to use AI for planning. Generation matters as much as geography, with 62% of Millennials and Gen Z having used AI to plan travel versus 35% of older cohorts.

Suppliers are quietly building it into operations

While consumer headlines focus on chatbots, the deeper change is on the supply side. Statista reports that over half of surveyed travel companies already use generative AI to assist travelers during the booking process, embedding it in search, dynamic pricing and service recovery rather than as a bolt-on. This operational adoption is what funds the broader market: the focused AI-in-tourism segment is forecast to roughly quadruple between 2024 and 2030. The economics favor automation of repetitive, language-heavy tasks where AI cuts cost per interaction sharply.

What 2026 buyers should watch

For travel businesses evaluating AI tools, the practical lesson from the data is to deploy where accuracy is verifiable and stakes are moderate. Itinerary drafting, multilingual support and personalized recommendations show strong uptake and acceptance, whereas fully autonomous booking still meets resistance tied to trust. The fastest-growing budget line is generative AI specifically, which Precedence Research sizes at about USD 1.06B in 2025 rising toward USD 5.79B by 2035. Vendors that pair generation with grounded, real-time inventory data will capture the gap between planning enthusiasm and booking hesitancy.

Perguntas frequentes

More reports

Compiled by ToolGlance from publicly reported data; figures link to their sources. Updated 2026-05-30.