Top Food & Drink — Top Grossing apps in Singapore 🇸🇬
As of June 16, 2026, Vivino: Drink The Right Wine is the #1 Food & Drink — Top Grossing app in Singapore on iOS.
#App / PublisherCategoryIntel
- 12

- 28

- 31

- 465

- 54

- 618

- 79

- 849

- 9NEW

- 104

- 117

- 1211

- 1350

- 143

- 155—
- 1611

- 1710
クラシル - 毎日の献立に!レシピ動画で料理がおいしく作れるKurashiru, Inc
Gastronomia e bebidas - 18NEW
美食佳飲 - 1911

- 206

- 21NEW

- 22NEW
Comida y bebida - 2320

- 2412

- 2512

- 2612

- 274

- 2813
Comida y bebida - 2912

- 30NEW

- 3113

- 32NEW

- 33NEW
Cuisine et boissons - 3415

- 3514

- 3614

- 3712
フード/ドリンク - 3811
- 3911
Eten en drinken - 4011

- 4111

- 4211

- 4311

- 4411
懒饭 - 美食视频菜谱下厨房
- 4511

- 4610

- 4712—
- 4811

- 4911

- 5011

What changed
Movement between the previous day and June 16, 2026.
New entrants
Risers
Honeydew: Capture Recipes#69 → #4
Recipe Keeper#63 → #13
Eatr: Tasty Cooking Recipes#57 → #8
Wine ID: AI Scanner & Tracker#43 → #23
ReciMe: Recipes & Meal Planner#24 → #6
Fallers
Epicurious#53 → #71
WineRatings+ by Wine Spectator#19 → #34
Love, Manuela#54 → #69
Pregnancy Diet: Food & Recipes#21 → #35
Wine Find: Pocket Sommelier#22 → #36
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 Food & Drink — Top Grossing app in Singapore on iOS?
As of June 16, 2026, Vivino: Drink The Right Wine is the #1 Food & Drink — 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.