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Updated June 15, 2026
Magento

83 Magento Stores in Hong Kong: Stats & Trends (2026)

We track 83 active Magento stores in Hong Kong, with 12 newly added in the last 30 days (14% of the current base). Among stores with catalog data, the most common product count range is 200-999, with prices typically in the $25-$49 range. The leading categories are Apparel & Accessories, Beauty & Cosmetics, Electronics. 73% maintain social media profiles — Facebook leads — and 8% run Meta ad campaigns.

73%
Social media
8%
Meta ads
64%
Contact info
Total Stores
83
Active Magento stores
New (30d)
12
Newly added in the last 30 days
Avg. Products
1,369
Among 43 stores with catalog data
Avg. Price
$342
Among 32 stores with pricing data

Growth trend

Stores newly indexed each month over the past 12 months

24 12 0
Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Apr
May
Jun

12 new stores were added in the past 30 days (14% of the total), showing steady growth. This is below the Magento average of 25%.

Products & categories

How many products stores carry, plus category breakdown.

10-49 1 · 2%
50-199 10 · 23%
200-999 18 · 42%
1k-4.9k 10 · 23%
5k+ 4 · 9%
Category coverage

Categories are non-exclusive -- a store can belong to more than one category, so percentages may add up to more than 100%.

Apparel & Accessories
12% coverage
Beauty & Cosmetics
8% coverage
Electronics
5% coverage
Food & Beverages
5% coverage
Furniture
4% coverage
Home & Garden
4% coverage
Jewelry & Watches
4% coverage
Health
2% coverage
Arts & Entertainment
1% coverage
Celebrations & Gifts
1% coverage
General Merchandise
1% coverage

Among stores with catalog data, the 200-999 product range is most common. The average is 1,369 products per store. That's smaller than the Magento average of 3,740. The most popular store categories in this market are Apparel & Accessories, Beauty & Cosmetics, Electronics.

Pricing & currencies

How products are priced, plus the currencies stores list in.

Under $25 1 · 3%
$25-$49 13 · 41%
$50-$99 8 · 25%
$100-$199 3 · 9%
$200-$499 3 · 9%
$500+ 4 · 12%
Store currencies
HKD 28 AUD 2 GBP 2 CNY 1 EUR 1 IDR 1 MOP 1 SGD 1

Among stores with pricing data, the most common price range is $25-$49. The average is higher at $342 because some stores price much higher, pulling it up. That's below the Magento average of $591.

Social media platforms

Facebook (73%), Instagram (59%), YouTube (20%).

Facebook
73%
Instagram
59%
YouTube
20%
Twitter / X
7%
LinkedIn
6%
Pinterest
2%
TikTok
1%

Social media engagement is exceptionally high: 73% of stores maintain social profiles and 8% run Meta ads. That's 16 percentage points above the Magento average of 57%.

Marketing & analytics tools

Google Tag Manager (67%), Google Analytics (46%), Facebook Pixel (29%).

Google Tag Manager
67%
Google Analytics
46%
Facebook Pixel
29%
Google Ads
11%
Pinterest Pixel
1%

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Representative stores

A varied sample - weighted by data completeness, refreshed daily

101 products $340 avg 40 ads
Beauty & Cosmetics Beauty Products
382 products $126 avg
Beauty & Cosmetics Beauty Products
1,722 products $90 avg
Food & Beverages
907 products
Apparel & Accessories
106 products $33 avg
Health Supplements Wellness
864 products
Food & Beverages
314 products $40 avg
Office Supplies Electronics Office Supplies
905 products 62 ads
560 products $60 avg
Beauty & Cosmetics Beauty Products Skincare

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FAQ

How many Magento stores are in Hong Kong?

Our database tracks 83 active Magento stores in Hong Kong.

How fast is the Hong Kong Magento market growing?

In the past 30 days, 12 new Magento stores were indexed in Hong Kong, reflecting a 14% monthly growth rate.

What is the average catalog size for Hong Kong Magento stores?

Among Magento stores in Hong Kong with catalog data, the average is about 1,369 products. The most common catalog size range is 200-999.

How often is the data updated?

The data is updated weekly. Most store records are refreshed within a few days of any change.

Can I export the data?

Yes. All paid plans include CSV exports. You can use the data for lead generation, market research, and competitor analysis.