Indian travellers are increasingly adopting artificial intelligence (AI) tools for travel planning, with 68% indicating they are likely to use AI for their next trip, according to the latest report by Agoda.
The findings, part of Agoda’s 2026 Travel Outlook Report, show that 33% of Indian travellers are already using AI in some form, highlighting a rapid shift towards technology-driven planning across the travel cycle.
The report indicates that AI usage is expanding beyond basic search, with travellers seeking support across multiple stages of their journey. Recommendations for local attractions and activities emerged as the top use case (38%), followed by personalised itinerary creation (37%) and destination discovery (29%). Interest in dining recommendations (23%) and budget management (22%) further reflects the growing role of AI in end-to-end trip planning.
Industry observers note that this trend aligns with India’s strong adoption of digital travel tools. Sentiment towards AI-generated recommendations remains largely positive, with 88% of respondents expressing either trust or neutrality, including 53% who said they actively trust such recommendations.
The report also builds on earlier insights, which showed widespread use of travel apps among Indian consumers, indicating that AI adoption is evolving as a natural extension of existing digital behaviour rather than a disruptive shift.
Commenting on the trend, Gaurav Malik, Country Director, Indian Subcontinent & Indian Ocean Islands, Agoda, said Indian travellers are increasingly relying on AI across all stages of trip planning, from destination selection to budgeting, making it a core component of modern travel planning.
Agoda has also been testing AI-led engagement through initiatives such as its AI-powered vacation planner campaign, reflecting growing demand for personalised and intuitive travel experiences.
The findings underline a broader shift for the travel trade, where AI-driven tools are expected to play a larger role in influencing customer decisions, itinerary planning, and booking behaviour in the coming years.
