AI Insights · Timothy · January 2023
Top 5 Carpooling and Ridesharing Apps on iOS in Latin America Q4 2022
In Q4 2022, the top carpooling and ridesharing apps on iOS in Latin America saw varied trends in downloads and active users. Sensor Tower provides deeper insights into these metrics.
The performance of the top 5 carpooling and ridesharing apps on iOS in Latin America during Q4 2022 showcases diverse trends in downloads and active users. Here’s a detailed look at how these apps fared:
Uber - Request a ride saw significant growth in weekly downloads, starting at around 128K in late September and climbing steadily to approximately 202K by the end of December. The app also maintained a strong presence in terms of weekly active users, peaking at about 4.1M in mid-December before ending the quarter with around 3.5M active users.
inDrive. Save on city rides also exhibited a positive trend in weekly downloads, growing from roughly 72K in late September to around 100K by the end of December. The app's weekly active users mirrored this growth, starting at approximately 1.2M and peaking at about 1.6M in mid-December before stabilizing at around 1.4M.
DiDi Rider: Affordable rides experienced consistent weekly downloads, fluctuating between 64K and 89K throughout the quarter. The app's weekly active users saw a peak of nearly 1.9M in mid-December, before a noticeable drop to around 1.5M by the end of the quarter.
Cabify showed a steady increase in weekly downloads, starting at about 16K and reaching approximately 33K by the end of December. The app's weekly active users also rose, beginning at around 210K in late September and peaking at nearly 277K in mid-November, before ending the quarter at roughly 258K.
BlaBlaCar: Carpooling and Bus demonstrated a notable uptick in weekly downloads, starting at around 15K and surging to approximately 47K by the end of December. The app's weekly active users followed a similar trend, increasing from about 204K in late September to a peak of roughly 264K in mid-December.
These insights are based on data from Sensor Tower, where more detailed information and additional metrics can be found.