AI Insights · Timothy · October 2024
Top 5 Carpooling and Ridesharing Apps in Guatemala: Q3 2024 Performance
Discover the performance trends of leading carpooling and ridesharing apps in Guatemala during Q3 2024, with insights on downloads and active users.
During the third quarter of 2024, the carpooling and ridesharing market in Guatemala saw varied performance across the top five apps. According to data from Sensor Tower, these apps displayed distinct trends in weekly downloads and active users.
Yango: taxi, food, delivery exhibited a fluctuating download trend with a notable peak of approximately 16.9K downloads in late July. However, downloads decreased towards the end of the quarter, settling around 10.2K. The app maintained a consistent base of active users, fluctuating between 46K and 54K throughout the quarter.
inDrive. Save on city rides showed a steady increase in downloads over the quarter, reaching a high of about 12.3K by the end of September. Active users remained relatively stable, fluctuating around 140K to 150K, indicating a strong user base.
Uber - Driver: Drive & Deliver experienced a decline in downloads midway through the quarter, dropping to a low of 3.8K in late August before recovering to approximately 7.9K by the end of September. Active users saw a similar pattern, with numbers decreasing to 49K in late August before climbing back to around 58K.
Uber - Request a ride maintained a fairly consistent download rate, averaging around 7.5K to 8.5K weekly. Active user numbers were robust, peaking at over 1.18M in early September, demonstrating the app's strong presence in the market.
DiDi Rider: Affordable rides had lower download figures compared to its competitors, with numbers ranging from 434 to 735 throughout the quarter. Active users showed slight fluctuations, ranging from 8.8K to 10K, indicating a smaller but stable user base.
These insights offer a glimpse into the competitive landscape of ridesharing apps in Guatemala. For more detailed analytics, visit Sensor Tower for comprehensive data and trends.