The information originates from Myra, the company’s Gen-AI trip planning assistant. This tool is currently managing over 50,000 voice conversations each day, providing insights into how users engage with conversational search while arranging their travels, as noted in MakeMyTrip’s statement.
While it’s still in the early stages, noticeable patterns are beginning to surface.
Voice travel search trends: 23% of queries now exceed 11 words
Typically, travel searches entered on websites are brief, often just a handful of words—like “cheap Goa hotels” or “Delhi to Mumbai flight.”
Voice queries tell a different story.
The MakeMyTrip data reveals that around 23% of voice searches use over 11 words, in contrast to only 7% of typed queries. Users tend to include additional details when speaking—such as location, group size, dates, and budget—all within one request.
Examples from the dataset feature requests like finding budget accommodations in north Goa close to the beach with a pool or detailing family size, travel dates, and nightly budget all in one sentence.
Date-based travel searches 3.3x higher on voice than text
Date-related inquiries are especially prevalent in voice interactions. These requests occur 3.3 times more in voice searches than in text, as travellers tend to articulate timelines like “next Friday to Sunday” rather than typing out precise formats.
Informational questions are also becoming more common in voice searches. These can include inquiries about visas, train routes, or travel documents—sometimes even articulated entirely in regional languages.
Regional languages dominate voice travel queries across India
Another notable trend is the increased linguistic diversity in voice queries compared to text searches.
While English remains predominant in typed searches, a growing number of voice requests are being made in regional languages like Tamil, Telugu, Malayalam, and Marathi.
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The disparity in some cases is striking—for example, voice queries in Malayalam occurred 46 times more frequently than typed ones, as indicated by the MakeMyTrip data.
Code-mixed searches are also prevalent, with users often combining Hindi and English while specifying their travel requirements, resulting in longer and more descriptive sentences.
Premium travellers utilizing longer voice searches with multiple trip constraints
Voice search is increasingly capturing detailed travel intent.
Some travellers integrate multiple specifications within a single spoken query—incorporating star ratings, room counts, group size, and nightly budget. While these layered requests make up a smaller portion of total searches, they offer valuable insights into the potential evolution of conversational interfaces.
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MakeMyTrip stated that these findings are based on early usage trends within Myra, which currently accommodates several Indian languages alongside English. The assistant relies on the company’s established AI systems utilized across travel discovery, booking, and support services.
Currently, data points to a gradual transformation. Voice searches may be simplifying travel planning for users who prefer to operate in the language they use daily.
