Top Education — Top Grossing apps in Singapore 🇸🇬
As of June 20, 2026, Duolingo: Language Lessons is the #1 Education — Top Grossing app in Singapore on iOS.
#App / PublisherCategoryIntel
- 1

- 215

- 31

- 410

- 52

- 610

- 73

- 81

- 94

- 1040

- 114

- 1268

- 1310

- 149

- 159

- 16NEW

- 172
Educación - 1833

- 197

- 20NEW

- 21NEW

- 222

- 2320

- 24NEW

- 2515

- 265

- 27NEW

- 2838

- 2918

- 304

- 3147

- 32NEW
Educación - 33NEW

- 34NEWEducational
- 3517

- 3628

- 37NEW

- 3815

- 39NEW

- 4010

- 4119

- 422—
- 43NEW

- 447

- 4517

- 46NEW

- 479
SuperChinese - Aprende ChinoShanghai Yuxuan Information Technology Co. , Ltd
Educación - 484

- 4923—
- 5018

What changed
Movement between the previous day and June 20, 2026.
New entrants


Pastest#21


Risers
MasterClass: Online Classes#80 → #12
KidloLand Kids Toddler Games#78 → #31
Kiddopia: Kids Learning Games#50 → #10
Lingo AI – Learn Language Fast#98 → #59
HelloChinese - Learn Chinese#66 → #28
Fallers
Airlearn - Language Learning#33 → #95
SakuraSpeak: Learn Languages#36 → #96
Babbel - Language Learning#29 → #88
Mindvalley: Self Improvement#28 → #85
Fishing-King Angelschein#27 → #83
Methodology
Rankings are pulled daily from the iOS store charts for Singapore. We snapshot the top entries each day and compute day-over-day change relative to the prior snapshot. See our full methodology for data sources, refresh cadences, and quality filters.
Frequently asked questions
What is the #1 Education — Top Grossing app in Singapore on iOS?
As of June 20, 2026, Duolingo: Language Lessons is the #1 Education — Top Grossing app in Singapore on iOS, based on the public iOS chart rankings Marlvel tracks daily.
How often are these rankings updated?
Marlvel snapshots the iOS charts for Singapore every day and computes day-over-day movement. The "Current" page always reflects the latest snapshot; dated archive pages preserve each day's top 50.
Where does Marlvel's ranking data come from?
Rankings are pulled from the public iOS store charts for Singapore. See our methodology for data sources, refresh cadence, and the quality filters applied before a ranking is indexed.