Uber India announced a consolidated revenue of Rs 2,666 crore for the fiscal year ending March 2023 (FY23), driven by an increase in income from trips and supported services in India.

The company’s ride revenue climbed by 74% to Rs 678 crore in FY23, from Rs 388 crore the previous year. The firm’s income from support services was 1,977 crore, up 52 percent year on year (YoY), according to MCA records gathered from data and research agency Tofler.

The company’s revenues are largely derived from support services provided to drivers and end users (riders) in exchange for on-demand lead generation and associated services, such as arranging payments from end users.

Uber India‘s consolidated net loss in FY23 increased by roughly 59 percent to Rs 311 crore from the Rs 196 crore recorded in FY22. In FY23, the firm’s overall costs were Rs 3,145 crore, with employee benefit expenses accounting for the bulk of the total at Rs 2,078 crore.

As of December 2022, its US-based parent company, Uber Inc, reported $32 billion in revenue, up 83 percent year on year, and a $9 billion net loss.

Meanwhile, Ola Electric, Uber’s main competitor in India, reported consolidated revenue of Rs 2,782 crore, up over 510 percent, in the fiscal year ending March 2023 (FY23), despite a net loss of Rs 1,472 crore due to increased expenditures.

If you’ve ever booked an Uber, you’ll understand how easy the procedure is: just press a button, specify the pickup location, order a vehicle, go for a trip, and pay with a click of a button. The method is straightforward, but there is a lot going on behind the scenes. The $51 billion start-up’s hidden key to growth is the enormous data it gathers and uses to make smart and intelligent decisions. 

While Uber transports passengers across the globe without owning any vehicles, data drives Uber. With the goal of being the world’s most intelligent firm by totally addressing issues for passengers, Big Data and Data Science are key to everything Uber does, including surge pricing, improved vehicles, identifying fraudulent trips, fake cards, fake ratings, calculating fares, and driver ratings. 

Uber estimates fares using both internal and external data. Uber calculates fares automatically utilizing street traffic data, GPS data, and its own algorithms that adjust depending on the duration of the ride. It also uses external data, such as public transportation routes, to design different services.