The data comes from Myra, the company’s Gen-AI trip planning assistant. The tool now handles more than 50,000 voice conversations daily, offering a snapshot of how users are interacting with conversational search while planning trips, MakeMyTrip said in its statement.
The shift is still early. But patterns are emerging.
Voice travel search trends: 23% of queries now exceed 11 words
Travel searches typed into a website are usually short. Often just a few words – “Goa hotels cheap” or “Delhi Mumbai flight”.
Voice queries look different.
According to the MakeMyTrip data, nearly 23% of voice searches contain more than 11 words, compared with only 7% of typed queries. Users tend to mention more details when speaking – location, group size, dates, and budget – all within a single request.
Examples shared in the dataset include requests such as asking for affordable hotels in north Goa near the beach with a pool or specifying family size, travel dates and nightly budget in one sentence.
Date-based travel searches 3.3x higher on voice than text
Date-related searches are particularly common in voice interactions. These queries appear 3.3 times more often in voice searches than in text, as travellers simply speak phrases like “next Friday to Sunday” instead of typing exact formats.
Informational questions are also appearing more frequently in voice. These include queries about visas, train routes or travel documents – sometimes asked entirely in regional languages.
Regional languages dominate voice travel queries across India
Another pattern stands out. Voice queries show far more linguistic diversity than text searches.
While English continues to dominate typed searches, voice requests increasingly appear in regional languages such as Tamil, Telugu, Malayalam and Marathi.
In several cases the gap is striking – voice queries in Malayalam, for instance, appeared 46 times more frequently than typed ones, according to the MakeMyTrip data.
Code-mixed searches are also common. Users frequently blend Hindi and English while describing their travel needs, often forming longer and more descriptive sentences.
Premium travellers using longer voice searches with multiple trip constraints
Voice search is also capturing more detailed travel intent.
Some travellers combine multiple requirements in a single spoken query – including star ratings, number of rooms, group size and nightly budget. Such layered requests remain a smaller share of total searches but offer insight into how conversational interfaces may evolve.
MakeMyTrip said the findings are based on early usage trends within Myra, which currently supports several Indian languages alongside English. The assistant draws on the company’s existing AI systems used across travel discovery, booking and support services.
For now, data points to a gradual shift. Voice searches may be making travel search easier for users who prefer to plan in the language they speak every day.
