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BigCommerce topic analytics
Topic
Updated Apr 6, 2026
BigCommerce

39 BigCommerce Home furniture Stores: Stats & Market Data (2026)

39 active BigCommerce stores fall into the Home furniture segment, with 1 newly added in the last 30 days. Among stores with catalog data, the most common product count range is 200-999, with prices typically in the $500+ range. The leading categories are Furniture, Home & Garden, Apparel & Accessories. 77% maintain social media profiles — Facebook leads — and 8% run Meta ad campaigns.

77%
Social media
8%
Meta ads
56%
Contact info
Total Stores
39
Active BigCommerce stores
New (30d)
1
Newly added in the last 30 days
Avg. Products
3,012
Among 38 stores with catalog data
Avg. Price
$1,034
Among 27 stores with pricing data

Growth trend

Stores newly indexed each month over the past 12 months

1 0 0
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Apr

1 new stores were added in the past 30 days (3% of the total). Growth has slowed, but new stores are still opening.

Products & categories

How many products stores carry, plus category breakdown.

1-9 2 · 5%
10-49 3 · 8%
50-199 4 · 11%
200-999 16 · 42%
1k-4.9k 8 · 21%
5k+ 5 · 13%
Category coverage

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

Furniture
100% coverage
Home & Garden
10% coverage
Apparel & Accessories
3% coverage
Books & Literature
3% coverage
Electronics
3% coverage

Among stores with catalog data, the 200-999 product range is most common. The average is 3,012 products per store. That's larger than the BigCommerce average of 2,561. The strongest country concentrations are Australia, United Kingdom, New Zealand.

Pricing & currencies

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

Under $25 1 · 4%
$25-$49 1 · 4%
$50-$99 2 · 7%
$200-$499 6 · 22%
$500+ 17 · 63%
Store currencies
USD 25 AUD 4 GBP 2 CAD 1 NZD 1 SGD 1

Among stores with pricing data, prices skew higher — the most common range is $500+, and the average listed price is $1,034. That's above the BigCommerce average of $341.

Social media platforms

Facebook (74%), Instagram (51%), Pinterest (26%).

Facebook
74%
Instagram
51%
Pinterest
26%
Twitter / X
26%
YouTube
23%
TikTok
8%
LinkedIn
5%

Social media engagement is exceptionally high: 77% of stores maintain social profiles and 8% run Meta ads.

Marketing & analytics tools

Google Analytics (69%), Facebook Pixel (44%), Google Tag Manager (31%).

Google Analytics
69%
Facebook Pixel
44%
Google Tag Manager
31%
Google Ads
13%
TikTok Pixel
10%
Pinterest Pixel
5%

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Representative stores

A varied sample — weighted by data completeness, refreshed daily

624 products $484 avg
Furniture home furniture indian furniture
1,527 products $1806 avg
Furniture Home & Garden recliner chairs leather sofas
1,570 products $2006 avg 3 ads
Furniture home furniture kids beds
38 products $509 avg
Furniture home furniture entertainment furniture
137 products $808 avg
Furniture Home & Garden Electronics home furniture bedroom furniture
474 products $1185 avg
Furniture home furniture interior décor
497 products $2487 avg
Furniture home furniture clifton nj
472 products $228 avg
Furniture Home & Garden home furniture office furniture
1,045 products $497 avg
Furniture home furniture sofa
4,006 products
Furniture furniture store elkins wv
141 products $915 avg
Furniture home furniture mattresses

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FAQ

How many BigCommerce Home furniture stores are there?

We currently track 39 active BigCommerce stores in the Home furniture segment.

Are BigCommerce Home furniture stores growing?

Yes. In the last 30 days, 1 new stores were indexed in the Home furniture segment, showing a 3% monthly growth rate.

What is the average product price in BigCommerce Home furniture stores?

Among stores with pricing data, the average listed price is about $1,034, with the most common pricing band at $500+.

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.