Google's 2026 Summer Travel Data: Month-Long Stays, Solo Trips, and AI Booking Hit New Highs

Google has published its summer 2026 travel trends report, drawing on signals from Google Flights and Search. The takeaways are worth paying attention to if you're thinking about who's booking and how they're planning.

AI is now mainstream in trip planning

Search interest in "AI travel assistant" and "AI concierge" grew 350% over the past year. "AI flight booking" spiked 315%, and "how to use AI to find flight deals" ranked as a trending search. Travelers aren't just curious about AI — they're actively using it to compare options and find prices. For property managers, this means more guests will arrive having done AI-assisted research before touching an OTA search bar.

Slow travel is an all-time high — good news for longer stays

Search interest in "slow travel" hit a record this year. "Slow travel Italy" is up 100% in the past month alone. "Month long hotel stay" and "month long yoga retreat" ranked as the top trending "month long" searches. This signals a real shift in booking patterns: fewer short weekend breaks, more extended stays. Properties that can accommodate longer visits — flexible check-in, kitchen access, workspace — are well-positioned.

Solo travel surge, but group demand holds too

"Solo travel" reached an all-time search high, with "women solo travel" at a 15-year peak. At the same time, "travel groups" and "tour groups" also hit records. The two trends aren't contradictions — solo travelers are increasingly looking for structured social experiences rather than pure isolation.

Trending destinations this summer

Google Flights data points to Sint Maarten (with zip-lining as the top trending activity), Kansas City (BBQ searches doubled), Mexico City (street food tours, restaurants hitting 10-year search highs), and Mallorca's Port de Soller. These aren't necessarily the most-booked destinations — they're the ones gaining search momentum relative to their baseline, which makes them worth watching for forward demand signals.

The full report, authored by Google Lead Data Analyst Jenny Lee, is available on the Google Travel blog.