Topics
Ten views of the same dataset, each one grouping the indicators that bear on a single question.
Traveller adoption
14How many people actually use AI to plan and book travel, and how fast that share is moving.
56%54%67%51%
Discovery and visibility
14AI as a discovery channel: who gets recommended, who gets cited, and who disappears.
~50%56%24%40%
Trust and autonomy
11Enthusiasm is near-universal; delegation is not. The gap between the two is the real story.
6%12%~6%25–33%
What AI is used for
7The specific jobs travellers hand to an assistant, before, during and after a trip.
60%56%45%43%
Destinations and DMOs
9National tourism organisations and destination marketers, measured against the travellers they serve.
22%26%72%~40%
Hotels and accommodation
4Adoption, outlook and the capability gap between chains and independents.
70%+25%66%94%
Airlines, agencies and distribution
8Where agentic AI is already in production, and the data fragmentation holding it back.
80%40%91%52%
Economics
7What the shift is worth, where the money moves, and which claims are forecasts rather than measurements.
USD 1.4tn45%951.6m40%
Governance, accuracy and risk
6What goes wrong: stale answers, unverified claims, and the policy response taking shape.
25%42%670%
Market context
5The baseline volumes that AI-era percentages are percentages of.
1.80bn951.6m93.8m74.0m