The Era of YOU: Booking.com Predicts the Top Trends Defining Travel in 2026, With Individuality Taking Center Stage
At a glance
- 71% of global travelers interested in romantasy-inspired destinations blending fantasy worlds with real-world travel.
- 77% open to booking robotic-enhanced vacation homes; 49% swayed by cleaning bots, 39% by robotic chefs.
- 69% of travelers considering trips to test relationship compatibility with partners, colleagues, or new friends.
- 84% open to carpooling on vacation; 54% willing to use apps to find travelers on similar routes.
- 66% would recreate a memory using technology to identify exact locations and travel there.
What the report covers
Booking.com's tenth annual travel predictions report examines how individuality and technology will shape travel in 2026. Based on a survey of 29,733 adults across 33 countries and territories who plan to travel in the next 12–24 months, the report identifies ten defining trends spanning fantasy retreats, robotic vacation homes, relationship-testing vacations, personalized wellness, and memory-driven travel.
Key findings
Romantasy retreats represent immersive literary tourism blending fiction and reality. According to the report, 71% of global travelers would visit romantasy-inspired destinations, while 53% are open to role-play retreats based on fantasy media; 23% express definite interest. Technology adoption is strong: 78% are open to AI-powered suggestions matching fantasy aesthetics and recommending 'storybook' stays, signalling demand for experiential travel that immerses guests in fictional worlds.
Humanoid homes represent a technological upgrade in vacation rental expectations. The survey finds 77% open to robotic-enhanced homes. Among interested respondents, 49% cite cleaning bots as a booking driver, 39% highlight robotic chefs, and 25% value robots managing sustainability. Novelty (28%) and social bragging rights (19%) also motivate adoption, suggesting operators should position robotics as experiential differentiators beyond convenience.
Relationship compatibility testing via travel has emerged as a primary vacation purpose. The report indicates 69% of global travelers are open to trips designed to test connections. Specific methods include remote travel (62%), role-reversal retreats (59%), and severe constraints like budget limits (59%). Gen Z leads adoption at 81% openness to custom itineraries, reflecting a shift toward intentional, purpose-driven travel.
Personalized wellness travel, termed 'glow-cations', combines skincare, technology, and environmental adaptation. Nearly 80% are open to dedicated glow-cations with skin-specific treatments. The report finds 59% would use AI to identify aligned destinations, 72% want personalized hydration stations, and 75% seek enhancement suites with circadian lighting. This indicates a market for science-informed, individualized wellness itineraries distinct from traditional spas.
Memory-driven travel using AI photo-mapping demonstrates technology's role in nostalgia tourism. Two-thirds (66%) would recreate a memory by identifying an old photograph's location and traveling there. Among these, 49% cite revisiting memories with family as motivation, while 36% view such journeys as personal milestones reflecting growth or closure. This suggests opportunities for platforms enabling ancestral tracing and heritage tourism.
Key numbers
| Metric | Value |
|---|---|
| Travelers interested in romantasy-inspired destinations | 71% |
| Travelers open to AI-powered fantasy aesthetic suggestions | 78% |
| Travelers open to booking robotic-enhanced vacation homes | 77% |
| Travelers open to relationship compatibility-testing trips | 69% |
| Gen Z travelers open to custom itineraries testing connections | 81% |
| Travelers open to carpooling on vacation | 84% |
| Travelers would recreate a memory using photo-location technology | 66% |
| Travelers open to dedicated glow-cation with skin-specific treatments | Nearly 80% |
Figures as published in the source; forecasts and survey results are labelled as such in the note.
Why it matters
DMOs & destinations
Destinations must develop niche, immersive offerings aligned with traveler identity: romantasy retreats (71% interest), astrology-linked experiences (47% willing to adjust plans for spiritual guidance), and memory-driven heritage tourism (66% interest). DMOs should partner with storytelling platforms and AI tools to position themselves as personalized, identity-affirming destinations rather than generic bucket-list stops.
Hotels & hospitality
Hospitality operators should invest in personalization technology and experiential amenities: robotic services (77% interest), skin-specific wellness (nearly 80% interested in glow-cations), and circadian-optimized sleep suites (75% interest). The report indicates travelers view stays as identity expressions. Hotels differentiate by offering high-tech, high-touch personalization and individualized wellness journeys rather than standardized packages.
Travel tech & distribution
Platforms must integrate AI-powered personalization across romantic, wellness, and memory-driven travel verticals. The report shows 78% openness to AI fantasy suggestions, 59% to AI skin-need identification, and 65% to AI route mapping. Tech providers should develop relationship-testing itineraries, photo-location matching for memory tourism, and astrology-aligned booking tools. Carpooling integration (84% interest) represents additional platform opportunity.
Methodology and limits
Online survey conducted July–August 2025 among 29,733 adults across 33 countries and territories (sample sizes 500–2,033 per country). Respondents were screened to plan travel for business or leisure within 12–24 months. This is Booking.com's tenth annual Travel Predictions report. All figures are survey findings representing respondent attitudes and intentions, not observed booking behaviour. The brief is based on publicly available source text; full methodological detail is not specified.
Official source
The report is © Booking.com. This brief is an original editorial summary by TourismIntel — it quotes only figures published in the source and never reproduces the document.
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