OpenGSE Technology Adoption in E-commerce

Discover 9.6k verified e-commerce stores using OpenGSE. Analyze technology adoption, market trends, integration patterns, and business insights.

Detected across 25.6k domains. 9.6k verified as active stores with physical delivery.

· · Next full refresh: May 2026

9.6k verified active stores out of 25.6k detected · 37.5% verification rate

E-commerce Platforms Distribution

Custom leads with 96.7% of stores with physical delivery (9,253 stores) , followed by WooCommerce (1.0%) and HCL Commerce (0.5%) .

Note: This distribution covers only stores selling physical products with active shopping carts and physical product shipping. Digital products, services, and non-transactional sites are excluded. All stores are verified by our proprietary AI model to ensure accurate e-commerce classification.

Top 10 Platforms (Physical Delivery)

Custom 96.7%

9,253 stores

93 stores

47 stores

40 stores

37 stores

25 stores

19 stores

9 stores

QDM 0.1%

8 stores

Visual Distribution

Distribution of top 10 platforms by stores with physical delivery (April 2026)
E-commerce platforms distribution for stores with physical delivery in OpenGSE
Platform Stores with Physical Delivery Percentage
Custom 9253 96.71%
WooCommerce 93 0.97%
HCL Commerce 47 0.49%
VirtueMart 40 0.42%
Haravan 37 0.39%
BigCommerce 25 0.26%
ShopPHP 19 0.20%
Nexaseller E-commerce Platform 12 0.13%
Magento 9 0.09%
QDM 8 0.08%
SAP Commerce Cloud 8 0.08%
Shopify 6 0.06%
VTEX 5 0.05%
PrestaShop 4 0.04%
CS-Cart 2 0.02%

Categories Distribution

Clothing & Accessories leads with 28.2% of all stores (2,381 stores) , followed by Health & Beauty (15.8%) and Electronics & Technology (15.4%) .

Base: 8,447 AI-verified stores with physical delivery and detected product categories (88.1% of all verified stores). Percentages show share of stores within each category.

Top 10 Categories

Clothing & Accessories 28.2%

2,381 stores

Health & Beauty 15.8%

1,337 stores

Electronics & Technology 15.4%

1,304 stores

Home & Garden 6.6%

554 stores

Food & Beverages 6.2%

522 stores

Sporting Goods & Outdoor Gear 4.6%

391 stores

Jewelry & Watches 3.7%

312 stores

Arts & Entertainment 3.3%

279 stores

Gifts & Special Occasions 3.2%

274 stores

Toys & Games 3.2%

270 stores

Visual Distribution

Distribution of top 10 OpenGSE store categories (April 2026)
Distribution of categories in OpenGSE e-commerce stores
Category Number of Stores Percentage
Clothing & Accessories 2381 28.19%
Health & Beauty 1337 15.83%
Electronics & Technology 1304 15.44%
Home & Garden 554 6.56%
Food & Beverages 522 6.18%
Sporting Goods & Outdoor Gear 391 4.63%
Jewelry & Watches 312 3.69%
Arts & Entertainment 279 3.30%
Gifts & Special Occasions 274 3.24%
Toys & Games 270 3.20%
Business & Industrial 257 3.04%
Furniture & Home Decor 206 2.44%
Tools & Hardware 159 1.88%
Vehicles & Parts 119 1.41%
Baby & Toddler 82 0.97%

Payment Providers Distribution

Paytm leads with 28.7% among AI-verified physical stores (623 stores) , followed by PayPal (23.2%) and Stripe Connect (17.0%) .

Base: 12,429 AI-verified physical stores with detectable payment providers (48.6% coverage of all stores). Percentages show share of detected provider instances (stores may use multiple providers).

Detected from checkout/payment scripts and provider tags; off-site/manual payments excluded where undetectable.

Top 10 Payment Providers

Paytm 28.7%

623 stores

PayPal 23.2%

503 stores

369 stores

Bolt 8.2%

178 stores

88 stores

71 stores

VISA 2.7%

59 stores

59 stores

46 stores

39 stores

Visual Distribution

Distribution of top 10 OpenGSE payment providers (April 2026)
Distribution of payment providers in OpenGSE e-commerce stores
Payment Provider Store Count Market Share
Paytm 623 28.75%
PayPal 503 23.21%
Stripe Connect 369 17.03%
Bolt 178 8.21%
MasterCard 88 4.06%
BitCoin 71 3.28%
VISA 59 2.72%
American Express 59 2.72%
Google Pay 46 2.12%
Klarna 39 1.80%
AliPay 33 1.52%
Amazon Pay 30 1.38%
Apple Pay 26 1.20%
JCB 22 1.02%
Boleto 21 0.97%

Shipping Carriers Distribution

JNE leads with 19.5% among AI-verified physical stores (359 stores) , followed by UPS (15.9%) and DHL (14.3%) .

Base: 12,363 AI-verified physical stores with detectable shipping carriers (48.3% coverage of all stores). Percentages show share of detected carrier instances (stores may use multiple carriers).

Detected from checkout/shipping pages and shipment widgets; cross-border carriers included where visible.

Top 10 Shipping Carriers

JNE 19.5%

359 stores

UPS 15.9%

293 stores

DHL 14.3%

264 stores

FedEx 8.6%

158 stores

143 stores

USPS 5.3%

98 stores

TNT 5.3%

97 stores

91 stores

78 stores

69 stores

Visual Distribution

Distribution of top 10 OpenGSE shipping carriers (April 2026)
Distribution of shipping carriers in OpenGSE e-commerce stores
Shipping Carrier Store Count Market Share
JNE 359 19.49%
UPS 293 15.91%
DHL 264 14.33%
FedEx 158 8.58%
Hermes 143 7.76%
USPS 98 5.32%
TNT 97 5.27%
Giaohangnhanh 91 4.94%
Speedy 78 4.23%
Pos Indonesia 69 3.75%
DPD 57 3.09%
China Post 36 1.95%
Royal Mail 36 1.95%
GLS 35 1.90%
Wahana 28 1.52%

Store Launch Timeline

Over the past 12 months, 487 new stores were launched in OpenGSE , with the highest activity in 2026-03 (41 stores) , demonstrating ongoing growth in the e-commerce market.

Last 12 Months

2026-03 8.4%

41 stores launched

2026-02 9.0%

44 stores launched

2026-01 8.6%

42 stores launched

2025-12 8.0%

39 stores launched

2025-11 7.0%

34 stores launched

2025-10 6.8%

33 stores launched

2025-09 9.2%

45 stores launched

2025-08 6.4%

31 stores launched

2025-07 11.7%

57 stores launched

2025-06 9.2%

45 stores launched

2025-05 10.3%

50 stores launched

2025-04 5.3%

26 stores launched

Monthly Trend

Monthly store launches in OpenGSE (April 2026)
Monthly store launches in OpenGSE over the past 12 months
Month Stores Launched Percentage
2026-03 41 8.42%
2026-02 44 9.03%
2026-01 42 8.62%
2025-12 39 8.01%
2025-11 34 6.98%
2025-10 33 6.78%
2025-09 45 9.24%
2025-08 31 6.37%
2025-07 57 11.70%
2025-06 45 9.24%
2025-05 50 10.27%
2025-04 26 5.34%

Active Stores by Launch Year

Currently, 6,238 active stores in OpenGSE are tracked in our database , with the most stores launched in 2026 (127 stores still active) . This shows the distribution of currently active stores by their original launch year.

Active Stores by Launch Year

2026 2.0%

127 active stores

2025 9.9%

615 active stores

2024 5.3%

332 active stores

2023 16.1%

1,003 active stores

2022 5.1%

319 active stores

2021 7.3%

453 active stores

2020 7.3%

453 active stores

2019 6.6%

413 active stores

2018 6.1%

380 active stores

2017 5.5%

341 active stores

2016 3.5%

221 active stores

2015 3.0%

190 active stores

2014 2.3%

142 active stores

2013 9.0%

559 active stores

2012 2.9%

183 active stores

Distribution by Launch Year

Active stores in OpenGSE by original launch year (April 2026)
Active stores in OpenGSE by launch year
Launch Year Active Stores Percentage
2026 127 2.04%
2025 615 9.86%
2024 332 5.32%
2023 1003 16.08%
2022 319 5.11%
2021 453 7.26%
2020 453 7.26%
2019 413 6.62%
2018 380 6.09%
2017 341 5.47%
2016 221 3.54%
2015 190 3.05%
2014 142 2.28%
2013 559 8.96%
2012 183 2.93%
2011 214 3.43%
2010 115 1.84%
2009 76 1.22%
2008 48 0.77%
2007 23 0.37%
2006 14 0.22%
2005 4 0.06%
2004 5 0.08%
2003 1 0.02%
2002 2 0.03%
2001 4 0.06%
1996 1 0.02%

Social Media Usage

Facebook leads with 31.8% among stores with at least one detectable social profile (3,625 stores) , followed by Twitter (18.1%) and Instagram (17.1%) .

Base: 11,176 stores with any detectable social profile (43.7% of all stores). Percentages show share of detected platform instances (stores may use multiple platforms).

Links and embeds detected on public pages; private/hidden profiles not counted.

Top 10 Social Platforms

Facebook 31.8%

3,625 stores

Twitter 18.1%

2,068 stores

Instagram 17.1%

1,951 stores

YouTube 14.0%

1,596 stores

Pinterest 7.4%

846 stores

LinkedIn 5.1%

586 stores

WhatsApp 3.5%

405 stores

TikTok 1.7%

197 stores

X 0.9%

107 stores

Reddit 0.3%

34 stores

Visual Distribution

Distribution of social media platforms in OpenGSE (April 2026)
Distribution of social media platforms in OpenGSE e-commerce stores
Social Platform Store Count Market Share
Facebook 3625 31.76%
Twitter 2068 18.12%
Instagram 1951 17.09%
YouTube 1596 13.98%
Pinterest 846 7.41%
LinkedIn 586 5.13%
WhatsApp 405 3.55%
TikTok 197 1.73%
X 107 0.94%
Reddit 34 0.30%

Geographic Distribution

United States leads with 25.0% (1,933 AI-verified stores) , followed by Vietnam (23.9%) and Indonesia (12.5%) .

Base: 7,743 AI-verified stores across 20 countries. Percentages show share among AI-verified stores.

Top 10 Countries

1,933 AI-verified stores

Vietnam 23.9%

1,849 AI-verified stores

965 AI-verified stores

India 11.5%

888 AI-verified stores

275 AI-verified stores

China 2.4%

187 AI-verified stores

180 AI-verified stores

165 AI-verified stores

149 AI-verified stores

145 AI-verified stores

Visual Distribution

Geographic distribution of stores using OpenGSE (April 2026)
Geographic distribution of stores using OpenGSE
Country AI-Verified Store Count Market Share
United States 1933 24.96%
Vietnam 1849 23.88%
Indonesia 965 12.46%
India 888 11.47%
United Kingdom 275 3.55%
China 187 2.42%
Malaysia 180 2.32%
Turkey 165 2.13%
Pakistan 149 1.92%
Hong Kong 145 1.87%
Bangladesh 125 1.61%
Thailand 117 1.51%
France 109 1.41%
Japan 103 1.33%
Brazil 97 1.25%
Spain 96 1.24%
Egypt 95 1.23%
Saudi Arabia 91 1.18%
Germany 87 1.12%
Canada 87 1.12%

Data Coverage

Field Rows count Coverage
Website 25.6k 100.00%
Emails 11.1k 43.22%
Phones 3.7k 14.56%
Ecommerce platform 15.5k 60.57%
Couriers 12.4k 48.32%
Payment Providers 12.4k 48.58%
Categories 8.9k 34.69%
Social Media 11.2k 43.68%

Coverage reflects detectability from public website analysis. Payment providers and shipping carriers are identified from checkout pages and shipping widgets. Stores using off-site payment flows or custom shipping integrations may not be detected. Actual adoption rates are higher than shown.

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Market Intelligence

Understand the OpenGSE e-commerce landscape:

Analyze 9.6k verified e-commerce stores on OpenGSE - technology adoption, market share, competitive positioning.

Track Competitive Shifts

Monitor platform migrations, technology adoption, and market share changes across OpenGSE e-commerce.

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Size Your Addressable Market

Segment stores by platform, category, traffic tier, and payment infrastructure to quantify your market opportunity.

Explore Data

Monitor Adoption Trends

Identify which payment providers, shipping carriers, and platforms are gaining or losing traction.

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Data Access

  • Interactive search and filtering via web app
  • REST API for programmatic access and automation
  • Monthly data refreshes with historical tracking

Use Cases

  • Competitive intelligence and market sizing
  • Technology adoption and platform migration analysis
  • Sales prospecting and account-based targeting
  • Investment research and due diligence

Frequently Asked Questions

What data is included in the OpenGSE e-commerce intelligence?

We track 9.6k verified OpenGSE e-commerce stores with 50+ data points per store: e-commerce platform, product counts, categories, payment providers, shipping carriers, estimated traffic, technology stack, and verified business contacts.

How is the data collected and how often is it updated?

We continuously crawl 300M+ domains using proprietary web crawlers, AI classification, and technology fingerprinting. The database is refreshed monthly, so you always work with current market data.

How do I access the data?

Self-service plans give you instant access through our web app and REST API. You can search, filter, and segment stores interactively or integrate programmatically into your workflows. View plans →

Can I filter by specific segments?

Yes. You can segment by country, platform, store size, product category, payment provider, shipping carrier, traffic tier, and more. All filtering is available through both the web app and API.

Do you offer enterprise or custom licensing?

Yes. For large-scale data needs, custom market reports, or dedicated support, contact us to discuss enterprise pricing.

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