Travel Booking Market: How Consumers Research and Book Trips in 2026

The Travel Booking Funnel: Inspiration, Research, and Purchase

The path from "I want to go somewhere" to a confirmed booking spans multiple platforms, weeks of research, and a growing number of AI-assisted decisions. Behavioral panel data from Measure tracks this journey at scale — mapping which surfaces consumers visit, when, and in what sequence, from the first travel thought through final checkout.

Three forces now shape the travel booking market: the dominance of OTA platforms in the consideration phase, the persistence of deal-seeking search behavior, and the rapid rise of ChatGPT as a trip-planning tool that operates upstream of all of them.

Which Platforms Dominate the Travel Booking Journey?

The two largest OTA platforms — Expedia and Booking.com — serve very different roles in the consumer journey, as their audience funnel profiles reveal. Expedia captures travelers who already know what they want and are actively comparing options. Booking.com commands a much larger awareness presence driven by YouTube, but converts that attention into bookings far less efficiently. Neither platform is winning the new AI-driven inspiration phase.

What Do Travelers Search For? Top Travel Search Terms and Intent Patterns

Travel search behavior clusters into three distinct patterns: navigational queries to known OTA brands, generic deal-seeking terms for flights and hotels, and a growing set of platform-direct searches routing consumers straight into Google's own booking surfaces. The dominance of OTA navigational terms at the top of the distribution reveals how early platform loyalty is established — travelers often know where they'll book before they've searched at all.

For flights, price sensitivity drives search behavior. 'Cheap flights' and 'plane tickets' appear at the top of the distribution ahead of any airline brand, indicating consumers are not airline-loyal at the search stage — they are looking for the best available fare and reach carrier sites through aggregators. For hotels, both generic ('hotels', 'accommodation') and Google-native ('google hotels') terms appear in the top tier, signaling that in-SERP booking is increasingly normalized.

How AI and ChatGPT Are Reshaping Travel Research

ChatGPT is functioning less like a search engine for travel and more like a personal travel consultant. Consumers are not asking simple questions — they are handing AI complex, open-ended briefs: comparing booking platforms, building multi-destination itineraries, and researching tour operators. The most common travel prompt cluster asks ChatGPT to surface and compare booking platforms ('Apps like Booking.com') — a function that until recently belonged entirely to Google Search.

Critically, these AI sessions are self-contained. Analysis of cross-platform activity in the ±60-minute window around travel ChatGPT sessions shows no co-occurring Google or OTA browsing. AI trip research is happening in a dedicated earlier phase — before consumers open any booking platform. The AI session is ideation and option-generation; the OTA visit is comparison and checkout.

Frequently Asked Questions: Travel Booking Market

Which platform dominates the travel booking market?

No single platform dominates across all stages. Booking.com commands the widest awareness reach, primarily through YouTube (index 193 vs panel). Expedia is stronger in the active-comparison phase, with 75% of audience activity in Consideration and an Intent Index of 140. Google Hotels is rising as a first-stop destination for hotel searches. ChatGPT is the dominant platform for the inspiration and platform-discovery phase that now precedes all of them.

How do most consumers research travel before booking?

Research increasingly begins with AI tools and ends on OTA platforms. ChatGPT is used for open-ended trip planning (48% of travel AI sessions) and platform comparison — in self-contained sessions with no concurrent booking activity. Consumers then move to Google Search, where OTA navigational queries dominate, indicating brand recall drives platform choice before price comparison begins. The final booking stage concentrates on Chrome-heavy web research, with iOS devices over-indexing significantly.

What are the most-searched travel terms on Google?

The top travel search terms split between OTA navigational queries (booking.com, travelocity, vacations to go), generic deal-seeking terms (cheap flights, hotels, plane tickets), and platform-direct searches (google hotels, google travel). 'Google hotels' ranking in the top tier alongside OTA brand names is significant — it signals that Google's own metasearch surface has become a primary booking discovery channel in its own right.

Is ChatGPT replacing Google for travel research?

For the inspiration and platform-selection phases, ChatGPT is increasingly displacing Google's role. The most common travel AI prompt cluster asks ChatGPT to compare booking platforms — a function previously owned by Google Search. However, ChatGPT sessions show no co-occurring booking platform activity, suggesting AI handles the earlier ideation phase while Google Search and OTA platforms still own comparison and booking.

What does search behavior reveal about changing traveler preferences?

Several patterns emerge. Price sensitivity dominates flight search — 'cheap flights' and 'plane tickets' outrank airline brands at the top of search volume, indicating low carrier loyalty at the search stage. Deal-seeking language ('hotel deals', 'last minute hotel deals') appears throughout the long tail. Younger consumers (18–24) under-index on major OTAs despite their heavy social media presence, suggesting the travel booking decision still skews toward working-age demographics (35–44). December is the peak AI-assisted travel planning moment, spiking 5.5× above monthly norms.