Following its public listing, TBO has accelerated its expansion into new markets, significantly increasing the scale and complexity of its supply ecosystem. This growth has heightened the need for robust data mapping infrastructure to support multi-language content, regional variations, and diverse supplier inputs.
Phocuswright’s new report, The AI Surge: Travel’s Fastest Behavioral Shift in a Decade, reveals that AI travelers have a median household income of $129,200 compared to $104,000 for nonusers, and take 3.8 leisure trips per year versus 2.9 among nonusers. They also spend $4,500 annually on leisure travel, far outpacing the $3,000 spent by those who do not use AI.
Rather than eliminating intermediaries, AI is reshaping where value — and control — sits across the travel ecosystem. As travelers increasingly rely on AI assistants to plan trips, the industry is moving from a search-driven model to one where algorithms decide what gets seen — and what gets sold.
This matters for the travel industry because travel companies – from booking platforms to B2B technology providers – handle large volumes of personal data across state lines every day. A single national standard would directly affect how these businesses operate, protect data and deliver seamless customer experiences.