Top Hyper-Casual Games Worldwide: September 2019

Key insights

5 takeaways

01
SayGames' 'Sand Balls' was the most downloaded hyper-casual game globally in September 2019, reaching nearly 40 million installs.
02
Good Job Games' 'Fun Race 3D' secured the second position with over 25 million downloads during the same period.
03
India and Brazil emerged as the primary growth markets, representing the top two sources of downloads for both 'Sand Balls' and 'Fun Race 3D'.
04
The top five most-downloaded hyper-casual titles for September 2019 were 'Sand Balls', 'Fun Race 3D', 'Cool Goal!', 'Aquapark.io', and 'Tiles Hop'.
05
Sensor Tower data for these rankings covers unique worldwide installs across the App Store and Google Play from September 1 to September 30, 2019, excluding pre-installed apps and third-party Android stores.

Summary

This analysis identifies the leading hyper-casual mobile games by global download volume for September 2019. The primary objective is to highlight market leaders and regional adoption trends within the hyper-casual segment, providing a snapshot of consumer demand across the Apple App Store and Google Play.

The data reveals that Sand Balls, published by SayGames, secured the top position with approximately 40 million installs, drawing significant traction from India and Brazil, which accounted for 12 percent and 10 percent of its total downloads, respectively. Fun Race 3D by Good Job Games followed as the second most installed title, generating over 25 million downloads, with India representing 20 percent of its user base and Brazil contributing 10 percent. The top five list was completed by Cool Goal!, Aquapark.io, and Tiles Hop.

The scope of this assessment covers worldwide mobile application performance for the month of September 2019. The methodology relies on proprietary store intelligence data, which tracks unique installs across the App Store and Google Play. The analysis excludes pre-installed applications, third-party Android stores, and duplicate app versions, focusing exclusively on aggregate, unique user acquisitions to ensure an accurate representation of market reach.