AI Insights · Timothy · April 2025
Top 5 Superhero Games on iOS in Spain: Q1 2025
Explore the performance trends of the top superhero games on iOS in Spain during Q1 2025, featuring insights on downloads, revenue, and active users.
In the first quarter of 2025, the superhero gaming genre on iOS in Spain showcased diverse trends across the top five applications. Here's a closer look at how these apps performed based on data from Sensor Tower.
DRAGON BALL Z DOKKAN BATTLE by Bandai Namco Entertainment Inc. observed a notable surge in weekly revenue, peaking at approximately $74K in late January. Weekly downloads fluctuated, with a high of about 586 downloads in the week of February 24. Active users saw a gradual increase, reaching over 6.6K by mid-February.
Marvel Contest of Champions, developed by Kabam Games, Inc., experienced varied revenue trends, reaching around $3.7K in early March. The app's weekly downloads saw a significant drop towards the end of the quarter, with a low of 197 downloads. Active users remained relatively stable, fluctuating between 1.3K and 1.7K throughout the quarter.
DC: Dark Legion™ from FunPlus International AG, launched in March, quickly gained traction with over 11.5K downloads in its debut week. Revenue reached nearly $9.7K in mid-March, while active users peaked at 8.5K before declining towards the end of the month.
MARVEL Strike Force: Squad RPG by Scopely, Inc. showed consistent weekly revenue, peaking at about $1.4K in early February. Downloads remained low, averaging around 56 per week, while active users saw a slight increase towards the end of March, reaching 532.
Lastly, X-HERO by BINGCHUAN NETWORK (HONG KONG) COMPANY LIMITED, demonstrated relatively stable revenue, maintaining around $588 in late March. Weekly downloads were highest at the start of the quarter with 823, while active users peaked early in the year at around 1.4K.
These insights provide a snapshot of the dynamic landscape of superhero games in Spain, with further details available through Sensor Tower's comprehensive data analysis.