Overall, hotels were the most searched for destinations across all three cities – The Imperial emerged as the most searched for hotel in Delhi; Mumbaikars were busy keying in The Trident, making it the most popular hotel on Google Maps, and The Leela Kempinski was the most searched five star property in Bangalore.

The available data shows that Delhi and Mumbai jantas are absolute foodies, with Karim’s and Hard Rock Café being the top searched hangout joints, respectively. Bangaloreans love malls as they provide one stop shop for the entire family; Phonenix Market City is the highest searched destination amongst all other city malls.

Educational institutes, particularly engineering colleges, represent another category where Bangalore stood out. While IIM Bangalore stood at number two in the search list, other who made it to this category include NIFT, and the Bishop Cotton Boys school. The southern city has also established itself as a healthcare hub, in comparison to Delhi and Mumbai, which have more specialized hospitals. In Bangalore, Jayadeva Hospital and the very popular Narayana Hrudayalaya featured high on the search trends.

Delhi and Mumbai showed cultural similarity with location based search interest in religious places – Jama Masjid was most searched in the capital city, and Siddhivinayak Temple in Mumbai. Outgoing in their own different way, the locals in both cities clearly showed where their interest lies. Outdoor loving Delhiites searched for tourist destinations, including Connaught Place, National Rail Museum, and India Gate, versus movie buff Mumbaikars, who indulge in movies to spend leisure time. Within the broader movie theatre searches, Big Cinemas – IMAX Wadala, and PVR Cinema are the most popular hangout for Bollywood and Hollywood lovers in the maximum city.

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Announcing this data, Lalitesh added, “Planning vacations and trips to weekend getaways are now easier because the map gives tourists plenty of insights into the place and its neighborhood, including directions to the location. This data is proof that users are continuously accessing information on maps to find places and mapping their communities.”