Ruby on Rails Technology Adoption in E-commerce

Discover 48.9k verified e-commerce stores using Ruby on Rails. Analyze technology adoption, market trends, integration patterns, and business insights.

Detected across 52.8k domains. 48.9k verified as active stores with physical delivery.

Verified stores
48.9k
active stores with physical delivery
Top country
Japan
8,432 verified stores
Top payment signal
PayPal
4,423 detection occurrences
Top carrier signal
USPS
3,942 detection occurrences
Top category
Clothing & Accessories
9,663 verified stores

This is a public report preview. Use the catalog, exports or API for account lists. Fields depend on your plan; coverage varies by merchant.

48.9k verified active stores out of 52.8k detected · 92.8% verification rate

E-commerce Platforms Distribution

Custom stores with 75.7% of stores with physical delivery (37,054 stores) , followed by Jumpseller (12.6%) and Bluepark (7.0%) .

Base: 48,932 active verified stores, including those without a detected platform. Rankings show leading platform combinations; displayed percentages need not sum to 100%. 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 75.7%

37,054 stores

6,151 stores

Bluepark 7.0%

3,422 stores

AmmoReady 0.9%

463 stores

SightGlass (Shopper) E-commerce Platform 0.9%

433 stores

Ink Store 0.6%

304 stores

Circlesoft 0.5%

254 stores

Stor.co E-commerce Platform 0.4%

182 stores

Shopstar 0.3%

165 stores

Teeki 0.3%

136 stores

Visual Distribution

Distribution of top 10 platforms by stores with physical delivery (June 2026)
E-commerce platforms distribution for stores with physical delivery in Ruby on Rails
Platform Stores with Physical Delivery Percentage
Custom 37054 75.73%
Jumpseller 6151 12.57%
Bluepark 3422 6.99%
AmmoReady 463 0.95%
SightGlass (Shopper) E-commerce Platform 433 0.88%
Ink Store 304 0.62%
Circlesoft 254 0.52%
Stor.co E-commerce Platform 182 0.37%
Shopstar 165 0.34%
Teeki 136 0.28%
Show broader dataset (all e-commerce signals)

Websites with E-commerce Signals

Custom holds 70.2% share of detected Ruby on Rails e-commerce signals (37,054) , with Jumpseller at 13.3% and Bluepark at 6.7% (June 2026) .

Base: 52,752 domains in this report's signal population, including domains without a detected platform. This is not a store count: it can include redirects and non-transactional sites. Displayed percentages need not sum to 100%.

Top 10 Platforms (All Signals)

Custom 70.2%

37,054 websites

7,034 websites

Bluepark 6.7%

3,534 websites

AmmoReady 0.9%

469 websites

SightGlass (Shopper) E-commerce Platform 0.9%

484 websites

Ink Store 0.6%

306 websites

Circlesoft 0.5%

285 websites

Stor.co E-commerce Platform 0.4%

221 websites

Shopstar 0.4%

234 websites

Teeki 0.3%

140 websites

Visual Distribution

Distribution of top 10 platforms by websites with signals (June 2026)
E-commerce platforms distribution for websites with signals in Ruby on Rails
Platform Websites with Signals Percentage
Custom 37054 70.24%
Jumpseller 7034 13.33%
Bluepark 3534 6.70%
AmmoReady 469 0.89%
SightGlass (Shopper) E-commerce Platform 484 0.92%
Ink Store 306 0.58%
Circlesoft 285 0.54%
Stor.co E-commerce Platform 221 0.42%
Shopstar 234 0.44%
Teeki 140 0.27%

Categories Distribution

Clothing & Accessories stores with 19.7% of all stores (9,663 stores) , followed by Food & Beverages (10.8%) and Health & Beauty (9.9%) .

Base: 48,932 active verified stores, including stores without a detected category. Percentages use this full population, not only the displayed categories.

Top 10 Categories

Clothing & Accessories 19.7%

9,663 stores

Food & Beverages 10.8%

5,307 stores

Health & Beauty 9.9%

4,823 stores

Arts & Entertainment 7.5%

3,663 stores

Sporting Goods & Outdoor Gear 6.2%

3,022 stores

Toys & Games 5.2%

2,556 stores

Business & Industrial 4.6%

2,270 stores

Home & Garden 3.3%

1,609 stores

Jewelry & Watches 2.8%

1,358 stores

Gifts & Special Occasions 2.7%

1,340 stores

Visual Distribution

Distribution of top 10 Ruby on Rails store categories (June 2026)
Distribution of categories in Ruby on Rails e-commerce stores
Category Number of Stores Percentage
Clothing & Accessories 9663 19.75%
Food & Beverages 5307 10.85%
Health & Beauty 4823 9.86%
Arts & Entertainment 3663 7.49%
Sporting Goods & Outdoor Gear 3022 6.18%
Toys & Games 2556 5.22%
Business & Industrial 2270 4.64%
Home & Garden 1609 3.29%
Jewelry & Watches 1358 2.78%
Gifts & Special Occasions 1340 2.74%

Payment Providers Distribution

PayPal accounts for 23.8% of displayed detection occurrences (4,423 occurrences) , followed by Apple Pay (17.3%) and Stripe Connect (10.2%) .

Base: 18,596 provider detection occurrences in the displayed ranking, from active stores. One store can contribute multiple occurrences. These percentages are not the share of unique stores or all detections.

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

Top 10 Payment Providers

PayPal 23.8%

4,423 occurrences

3,212 occurrences

1,893 occurrences

VISA 10.0%

1,862 occurrences

JCB 9.7%

1,805 occurrences

1,668 occurrences

1,393 occurrences

910 occurrences

Bolt 4.0%

737 occurrences

693 occurrences

Visual Distribution

Distribution of top 10 Ruby on Rails payment providers (June 2026)
Distribution of payment providers in Ruby on Rails e-commerce stores
Payment Provider Detection Occurrences Share of Displayed Occurrences
PayPal 4423 23.78%
Apple Pay 3212 17.27%
Stripe Connect 1893 10.18%
VISA 1862 10.01%
JCB 1805 9.71%
MasterCard 1668 8.97%
American Express 1393 7.49%
Google Pay 910 4.89%
Bolt 737 3.96%
AliPay 693 3.73%

Shipping Carriers Distribution

USPS accounts for 23.2% of displayed detection occurrences (3,942 occurrences) , followed by UPS (16.3%) and FedEx (12.2%) .

Base: 16,979 carrier detection occurrences in the displayed ranking, from active stores. One store can contribute multiple occurrences. These percentages are not the share of unique stores or all detections.

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

Top 10 Shipping Carriers

USPS 23.2%

3,942 occurrences

UPS 16.3%

2,762 occurrences

FedEx 12.2%

2,074 occurrences

1,961 occurrences

1,257 occurrences

1,089 occurrences

1,037 occurrences

1,021 occurrences

DHL 5.5%

937 occurrences

899 occurrences

Visual Distribution

Distribution of top 10 Ruby on Rails shipping carriers (June 2026)
Distribution of shipping carriers in Ruby on Rails e-commerce stores
Shipping Carrier Detection Occurrences Share of Displayed Occurrences
USPS 3942 23.22%
UPS 2762 16.27%
FedEx 2074 12.22%
Australia Post 1961 11.55%
СДЭК 1257 7.40%
Почта России 1089 6.41%
Fastway 1037 6.11%
Toll Priority 1021 6.01%
DHL 937 5.52%
S.F. Express 899 5.29%

Store Launch Timeline

Over the past 12 months, 6,932 new stores were launched in Ruby on Rails , with the highest activity in 2026-05 (681 stores) , demonstrating ongoing growth in the e-commerce market.

Last 12 Months

2026-05 9.8%

681 stores launched

2026-04 8.7%

604 stores launched

2026-03 8.4%

579 stores launched

2026-02 7.2%

501 stores launched

2026-01 7.6%

525 stores launched

2025-12 7.2%

499 stores launched

2025-11 9.9%

687 stores launched

2025-10 10.2%

707 stores launched

2025-09 9.2%

638 stores launched

2025-08 8.7%

604 stores launched

2025-07 8.7%

605 stores launched

2025-06 4.4%

302 stores launched

Monthly Trend

Monthly store launches in Ruby on Rails (June 2026)
Monthly store launches in Ruby on Rails over the past 12 months
Month Stores Launched Percentage
2026-05 681 9.82%
2026-04 604 8.71%
2026-03 579 8.35%
2026-02 501 7.23%
2026-01 525 7.57%
2025-12 499 7.20%
2025-11 687 9.91%
2025-10 707 10.20%
2025-09 638 9.20%
2025-08 604 8.71%
2025-07 605 8.73%
2025-06 302 4.36%

Active Stores by Launch Year

Currently, 47,284 active stores in Ruby on Rails are tracked in our database , with the most stores launched in 2026 (2,936 stores still active) . This shows the distribution of currently active stores by their original launch year.

Active Stores by Launch Year

2026 6.2%

2,936 active stores

2025 14.0%

6,621 active stores

2024 10.9%

5,174 active stores

2023 9.8%

4,634 active stores

2022 9.2%

4,350 active stores

2021 11.4%

5,390 active stores

2020 10.7%

5,048 active stores

2019 5.4%

2,548 active stores

2018 4.5%

2,128 active stores

2017 3.8%

1,779 active stores

2016 2.4%

1,139 active stores

2015 1.7%

824 active stores

2014 1.5%

696 active stores

2013 1.6%

778 active stores

2012 1.0%

480 active stores

Distribution by Launch Year

Active stores in Ruby on Rails by original launch year (June 2026)
Active stores in Ruby on Rails by launch year
Launch Year Active Stores Percentage
2026 2936 6.21%
2025 6621 14.00%
2024 5174 10.94%
2023 4634 9.80%
2022 4350 9.20%
2021 5390 11.40%
2020 5048 10.68%
2019 2548 5.39%
2018 2128 4.50%
2017 1779 3.76%
2016 1139 2.41%
2015 824 1.74%
2014 696 1.47%
2013 778 1.65%
2012 480 1.02%

Social Media Usage

Instagram accounts for 36.5% of displayed detection occurrences (26,823 occurrences) , followed by Facebook (30.0%) and YouTube (8.6%) .

Base: 73,565 social-platform detection occurrences in the displayed ranking, from active stores. One store can contribute multiple occurrences. These percentages are not the share of unique stores or all detections.

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

Top 10 Social Platforms

Instagram 36.5%

26,823 occurrences

Facebook 30.0%

22,048 occurrences

YouTube 8.6%

6,349 occurrences

WhatsApp 6.7%

4,930 occurrences

Twitter 5.1%

3,779 occurrences

X 4.5%

3,283 occurrences

TikTok 3.5%

2,603 occurrences

Pinterest 2.9%

2,149 occurrences

LinkedIn 1.7%

1,227 occurrences

Reddit 0.5%

374 occurrences

Visual Distribution

Distribution of social media platforms in Ruby on Rails (June 2026)
Distribution of social media platforms in Ruby on Rails e-commerce stores
Social Platform Detection Occurrences Share of Displayed Occurrences
Instagram 26823 36.46%
Facebook 22048 29.97%
YouTube 6349 8.63%
WhatsApp 4930 6.70%
Twitter 3779 5.14%
X 3283 4.46%
TikTok 2603 3.54%
Pinterest 2149 2.92%
LinkedIn 1227 1.67%
Reddit 374 0.51%

Geographic Distribution

Japan stores with 17.2% (8,432 active verified stores) , followed by United States (16.0%) and Taiwan (11.3%) .

Base: 48,932 active verified stores, including stores with unknown country. Percentages use the full population, not only the displayed countries.

Top 10 Countries

Japan 17.2%

8,432 active verified stores

7,819 active verified stores

Taiwan 11.3%

5,507 active verified stores

Chile 9.5%

4,628 active verified stores

4,332 active verified stores

2,392 active verified stores

1,657 active verified stores

1,394 active verified stores

618 active verified stores

557 active verified stores

Visual Distribution

Geographic distribution of stores using Ruby on Rails (June 2026)
Geographic distribution of stores using Ruby on Rails
Country AI-Verified Store Count Market Share
Japan 8432 17.23%
United States 7819 15.98%
Taiwan 5507 11.25%
Chile 4628 9.46%
Russia 4332 8.85%
Australia 2392 4.89%
Hong Kong 1657 3.39%
United Kingdom 1394 2.85%
Brazil 618 1.26%
Portugal 557 1.14%

Data Coverage

Coverage among all domains with this detected signal, including non-active profiles; not just active stores.

Field Rows count Coverage
Website 52.8k 100.00%
Emails 26.5k 50.32%
Phones 15.8k 29.99%
Ecommerce platform 51.6k 97.76%
Couriers 13.3k 25.26%
Payment Providers 13.4k 25.36%
Categories 42k 79.53%
Social Media 34.4k 65.15%

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.

Market Intelligence

On-demand market analysis

Self-service access to market data and insights

  • Search and segment stores by any criteria
  • API integration for automated workflows
  • Periodic index updates
  • Market sizing and segmentation
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Strategic Intelligence

Custom research and competitive analysis

Tailored intelligence for strategic decisions

  • Custom market reports and analysis
  • Competitive landscape monitoring
  • Direct support from the founder
  • Flexible licensing and enterprise pricing
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Market Intelligence

Understand the Ruby on Rails e-commerce landscape:

Analyze 48.9k verified e-commerce stores on Ruby on Rails - technology adoption, market share, competitive positioning.

Track Competitive Shifts

Monitor platform migrations, technology adoption, and market share changes across Ruby on Rails e-commerce.

Explore Data

Size Your Addressable Market

Segment stores by country, platform, category, PSP, carrier, technology, and merchant-size signals to quantify your market opportunity.

Explore Data

Monitor Adoption Trends

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

Explore Data

Data Access

  • Interactive search and filtering via web app
  • REST API for programmatic access and automation
  • Index updates; historical datasets by agreement

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 Ruby on Rails e-commerce intelligence?

We track 48.9k verified Ruby on Rails e-commerce stores whose profiles can include: e-commerce platform, product counts, categories, payment providers, shipping carriers, technology stack, merchant-size signals, and available business contact fields.

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

We rebuild the searchable index typically every 2–4 weeks. Observation dates vary by source and field; a rebuild does not mean every website was observed again. This public report has its own publication date and may use an older snapshot than the live catalog. Coverage varies by field and market. A missing payment or carrier signal means we did not detect it, not that the merchant does not use it.

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, product category, payment provider, shipping carrier, technology stack, store age, cross-border signals, and merchant-size bands. Some advanced signals are plan-gated, and the same field contract is used by the web app, exports, 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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