Apache Tomcat Technology Adoption in E-commerce

Discover 257.0 verified e-commerce stores using Apache Tomcat. Analyze technology adoption, market trends, integration patterns, and business insights.

Detected across 360.0 domains. 257.0 verified as active stores with physical delivery.

· · Next full refresh: April 2026

257.0 verified active stores out of 360.0 detected · 71.4% verification rate

E-commerce Platforms Distribution

Custom leads with 91.4% of stores with physical delivery (235 stores) , followed by YoungCart (2.7%) and WooCommerce (2.3%) .

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 91.4%

235 stores

7 stores

6 stores

2 stores

2 stores

2 stores

1 stores

1 stores

1 stores

C2TI 0.0%

0 stores

Visual Distribution

Distribution of top 10 platforms by stores with physical delivery (March 2026)
E-commerce platforms distribution for stores with physical delivery in Apache Tomcat
Platform Stores with Physical Delivery Percentage
Custom 235 91.44%
YoungCart 7 2.72%
WooCommerce 6 2.33%
SAP Commerce Cloud 2 0.78%
Ymcart 2 0.78%
eTailPet 2 0.78%
PrestaShop 1 0.39%
OpenCart 1 0.39%
Oracle Commerce 1 0.39%
C2TI 0 0.00%
Cafe24 0 0.00%
SexShopArgentino SaaS Platform 0 0.00%
Sello (SelloShip) E-commerce Platform 0 0.00%
Bestseller.sklep.pl E-commerce Platform 0 0.00%
Bagy 0 0.00%

Categories Distribution

Health & Beauty leads with 13.9% of all stores (31 stores) , followed by Electronics & Technology (12.1%) and Vehicles & Parts (11.7%) .

Base: 223 AI-verified stores with physical delivery and detected product categories (86.8% of all verified stores). Percentages show share of stores within each category.

Top 10 Categories

Health & Beauty 13.9%

31 stores

Electronics & Technology 12.1%

27 stores

Vehicles & Parts 11.7%

26 stores

Food & Beverages 11.2%

25 stores

Toys & Games 6.7%

15 stores

Business & Industrial 6.7%

15 stores

Clothing & Accessories 6.3%

14 stores

Sporting Goods & Outdoor Gear 5.8%

13 stores

Arts & Entertainment 5.4%

12 stores

Tools & Hardware 4.9%

11 stores

Visual Distribution

Distribution of top 10 Apache Tomcat store categories (March 2026)
Distribution of categories in Apache Tomcat e-commerce stores
Category Number of Stores Percentage
Health & Beauty 31 13.90%
Electronics & Technology 27 12.11%
Vehicles & Parts 26 11.66%
Food & Beverages 25 11.21%
Toys & Games 15 6.73%
Business & Industrial 15 6.73%
Clothing & Accessories 14 6.28%
Sporting Goods & Outdoor Gear 13 5.83%
Arts & Entertainment 12 5.38%
Tools & Hardware 11 4.93%
Home & Garden 9 4.04%
Office Supplies 8 3.59%
Books & Media 6 2.69%
Furniture & Home Decor 6 2.69%
Gifts & Special Occasions 5 2.24%

Payment Providers Distribution

PayPal leads with 23.8% among AI-verified physical stores (19 stores) , followed by MasterCard (18.8%) and VISA (10.0%) .

Base: 61 AI-verified physical stores with detectable payment providers (16.9% 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

PayPal 23.8%

19 stores

15 stores

VISA 10.0%

8 stores

8 stores

Bolt 6.3%

5 stores

5 stores

Twint 6.3%

5 stores

JCB 3.8%

3 stores

3 stores

2 stores

Visual Distribution

Distribution of top 10 Apache Tomcat payment providers (March 2026)
Distribution of payment providers in Apache Tomcat e-commerce stores
Payment Provider Store Count Market Share
PayPal 19 23.75%
MasterCard 15 18.75%
VISA 8 10.00%
American Express 8 10.00%
Bolt 5 6.25%
BitCoin 5 6.25%
Twint 5 6.25%
JCB 3 3.75%
Stripe Connect 3 3.75%
SecurePay 2 2.50%
SEPA 2 2.50%
Apple Pay 2 2.50%
AliPay 1 1.25%
Tikkie 1 1.25%
Google Pay 1 1.25%

Shipping Carriers Distribution

UPS leads with 30.3% among AI-verified physical stores (23 stores) , followed by FedEx (14.5%) and USPS (13.2%) .

Base: 66 AI-verified physical stores with detectable shipping carriers (18.3% 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

UPS 30.3%

23 stores

FedEx 14.5%

11 stores

USPS 13.2%

10 stores

DHL 9.2%

7 stores

5 stores

TNT 3.9%

3 stores

DPD 3.9%

3 stores

2 stores

GLS 2.6%

2 stores

Visual Distribution

Distribution of top 10 Apache Tomcat shipping carriers (March 2026)
Distribution of shipping carriers in Apache Tomcat e-commerce stores
Shipping Carrier Store Count Market Share
UPS 23 30.26%
FedEx 11 14.47%
USPS 10 13.16%
DHL 7 9.21%
Correos 5 6.58%
TNT 3 3.95%
DPD 3 3.95%
Corriere Espresso 2 2.63%
Почта России 2 2.63%
GLS 2 2.63%
Australia Post 2 2.63%
Pitney Bowes 2 2.63%
СДЭК 2 2.63%
Deutsche Post 1 1.32%
Boxberry 1 1.32%

Store Launch Timeline

Over the past 12 months, 19 new stores were launched in Apache Tomcat , with the highest activity in 2026-02 (1 stores) , demonstrating ongoing growth in the e-commerce market.

Last 12 Months

2026-02 5.3%

1 stores launched

2026-01 21.1%

4 stores launched

2025-12 5.3%

1 stores launched

2025-10 26.3%

5 stores launched

2025-09 21.1%

4 stores launched

2025-08 5.3%

1 stores launched

2025-05 5.3%

1 stores launched

2025-04 10.5%

2 stores launched

Monthly Trend

Monthly store launches in Apache Tomcat (March 2026)
Monthly store launches in Apache Tomcat over the past 12 months
Month Stores Launched Percentage
2026-02 1 5.26%
2026-01 4 21.05%
2025-12 1 5.26%
2025-10 5 26.32%
2025-09 4 21.05%
2025-08 1 5.26%
2025-05 1 5.26%
2025-04 2 10.53%

Active Stores by Launch Year

Currently, 249 active stores in Apache Tomcat are tracked in our database , with the most stores launched in 2026 (5 stores still active) . This shows the distribution of currently active stores by their original launch year.

Active Stores by Launch Year

2026 2.0%

5 active stores

2025 6.4%

16 active stores

2024 3.6%

9 active stores

2023 4.4%

11 active stores

2022 5.6%

14 active stores

2021 3.2%

8 active stores

2020 5.6%

14 active stores

2019 4.0%

10 active stores

2018 4.8%

12 active stores

2017 4.4%

11 active stores

2016 5.2%

13 active stores

2015 4.8%

12 active stores

2014 5.6%

14 active stores

2013 4.8%

12 active stores

2012 2.0%

5 active stores

Distribution by Launch Year

Active stores in Apache Tomcat by original launch year (March 2026)
Active stores in Apache Tomcat by launch year
Launch Year Active Stores Percentage
2026 5 2.01%
2025 16 6.43%
2024 9 3.61%
2023 11 4.42%
2022 14 5.62%
2021 8 3.21%
2020 14 5.62%
2019 10 4.02%
2018 12 4.82%
2017 11 4.42%
2016 13 5.22%
2015 12 4.82%
2014 14 5.62%
2013 12 4.82%
2012 5 2.01%
2011 4 1.61%
2010 5 2.01%
2009 8 3.21%
2008 10 4.02%
2007 6 2.41%
2006 1 0.40%
2005 3 1.20%
2004 6 2.41%
2003 7 2.81%
2002 5 2.01%
2001 6 2.41%
2000 6 2.41%
1999 8 3.21%
1998 4 1.61%
1997 4 1.61%

Social Media Usage

Facebook leads with 29.1% among stores with at least one detectable social profile (89 stores) , followed by Instagram (22.9%) and YouTube (16.3%) .

Base: 158 stores with any detectable social profile (43.9% 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 29.1%

89 stores

Instagram 22.9%

70 stores

YouTube 16.3%

50 stores

Twitter 14.4%

44 stores

Pinterest 5.9%

18 stores

LinkedIn 5.6%

17 stores

WhatsApp 3.6%

11 stores

TikTok 1.3%

4 stores

X 1.0%

3 stores

Visual Distribution

Distribution of social media platforms in Apache Tomcat (March 2026)
Distribution of social media platforms in Apache Tomcat e-commerce stores
Social Platform Store Count Market Share
Facebook 89 29.08%
Instagram 70 22.88%
YouTube 50 16.34%
Twitter 44 14.38%
Pinterest 18 5.88%
LinkedIn 17 5.56%
WhatsApp 11 3.59%
TikTok 4 1.31%
X 3 0.98%

Geographic Distribution

South Korea leads with 28.0% (63 AI-verified stores) , followed by United States (22.2%) and Spain (9.8%) .

Base: 225 AI-verified stores across 20 countries. Percentages show share among AI-verified stores.

Top 10 Countries

63 AI-verified stores

50 AI-verified stores

Spain 9.8%

22 AI-verified stores

17 AI-verified stores

China 4.0%

9 AI-verified stores

9 AI-verified stores

Italy 4.0%

9 AI-verified stores

7 AI-verified stores

India 3.1%

7 AI-verified stores

4 AI-verified stores

Visual Distribution

Geographic distribution of stores using Apache Tomcat (March 2026)
Geographic distribution of stores using Apache Tomcat
Country AI-Verified Store Count Market Share
South Korea 63 28.00%
United States 50 22.22%
Spain 22 9.78%
Switzerland 17 7.56%
China 9 4.00%
Germany 9 4.00%
Italy 9 4.00%
United Kingdom 7 3.11%
India 7 3.11%
Russia 4 1.78%
Brazil 4 1.78%
Canada 3 1.33%
Australia 3 1.33%
France 3 1.33%
Taiwan 3 1.33%
New Zealand 3 1.33%
Japan 3 1.33%
Singapore 2 0.89%
Belgium 2 0.89%
Argentina 2 0.89%

Data Coverage

Field Rows count Coverage
Website 360.0 100.00%
Emails 197.0 54.72%
Phones 121.0 33.61%
Ecommerce platform 334.0 92.78%
Couriers 66.0 18.33%
Payment Providers 61.0 16.94%
Categories 235.0 65.28%
Social Media 158.0 43.89%

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

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  • Search and segment stores by any criteria
  • API integration for automated workflows
  • Monthly data refreshes
  • Market sizing and segmentation
Analyze Market →

Strategic Intelligence

Custom research and competitive analysis

Tailored intelligence for strategic decisions

  • Custom market reports and analysis
  • Competitive landscape monitoring
  • Dedicated analyst support
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Market Intelligence

Understand the Apache Tomcat e-commerce landscape:

Analyze 257.0 verified e-commerce stores on Apache Tomcat - technology adoption, market share, competitive positioning.

Track Competitive Shifts

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

Explore Data

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.

Explore Data

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 Apache Tomcat e-commerce intelligence?

We track 257.0 verified Apache Tomcat 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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