Top Family apps in South Korea 🇰🇷
As of June 20, 2026, 인공지능 학습 메이트 AI펭톡 is the #1 Family app in South Korea on Android.
AndroidiOS
#App / PublisherCategoryIntel
- 1—
- 2
- 3—
- 41
- 51
- 66—
- 71—
- 815
- 94
- 103
- 116
- 124—
- 134
- 144
- 154—
- 162
Photo & Video - 172
- 182소중한글: 놀면서 배우는 한글
주식회사 에이치투케이
— - 191
- 202Educational
- 212
- 223Puzzle
- 231스마트구몬N 유니버스
(주)교원구몬
— - 243
- 254—
- 266교과100
교원
— - 277Educational
- 281
- 291
- 304
- 315Educational
- 323—
- 332
- 341—
- 354
- 368보다 - BODA
새하컴즈
— - 375아이큐브 iQuve 질문하는 동화책
그로비 개발팀
— - 381Educational
- 399—
- 402
교육 - 414
- 42—
- 433—
- 443
생산성 - 451
- 465
- 471
- 485—
- 49
교육 - 50
What changed
Movement between the previous day and June 20, 2026.
New entrants
- 스마트 이야기독서 플러스
#177
- 젤링 홈스쿨링_유아 영어
#181
Risers
ABC Spelling - Spell & Phonics#197 → #110
- Coloring and Drawing For Kids
#174 → #124
- 별별한글 - 유아 한글 교육
#115 → #66
- Draw to Save: Dog Puzzle
#134 → #91
- Pinkfong Baby Shark Phone Game
#159 → #119
Fallers
- Highlights Library Reading
#139 → #179
- 링고애니 - 한글 말놀이 (5~8세)
#131 → #167
City Games World: Avatar life#151 → #183
- Vlinder Story: Dress up & Spa
#127 → #154
- Cocobi Kindergarten -Preschool
#166 → #192
Methodology
Rankings are pulled daily from the Android store charts for South Korea. 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 Family app in South Korea on Android?
As of June 20, 2026, 인공지능 학습 메이트 AI펭톡 is the #1 Family app in South Korea on Android, based on the public Android chart rankings Marlvel tracks daily.
How often are these rankings updated?
Marlvel snapshots the Android charts for South Korea 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 Android store charts for South Korea. See our methodology for data sources, refresh cadence, and the quality filters applied before a ranking is indexed.