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Pimcore - Open Source Digital Experience Platform for Enterprises


Market Share By Site Popularity

Alexa RankCMS RankMarket Share
Most Popular Sites < 1,000#1290.102%
Very Popular Sites < 10,000#1140.110%
Popular Sites < 100,000#1320.038%
Less Popular Sites < 1,000,000#1010.047%
All Sites#1010.047%

Top Level Domains

Websites using Pimcore were found on 61 top level domains

Top Level DomainsPercent
Commercial (.com)28.69%
Germany (.de)25.14%
Switzerland (.ch)10.29%
Austria (.at)8.043%
Belgium (.be)3.094%
European Union (.eu)2.088%
Netherlands (.nl)2.088%
Pitcairn Islands (.pl)1.933%
Italy (.it)1.779%
Czech Republic (.cz)1.624%
France (.fr)1.624%
Organization (.org)1.547%
United Kingdom (.uk)0.928%
Sweden (.se)0.928%
Network (.net)0.851%
Russia (.ru)0.619%
Info (.info)0.619%
Norway (.no)0.619%
Hong Kong (.hk)0.541%
Australia (.au)0.541%
Indonesia (.id)0.464%
Denmark (.dk)0.387%
Hungary (.hu)0.387%
Slovenia (.si)0.387%
Ireland (.ie)0.309%
Vietnam (.vn)0.232%
Ukraine (.ua)0.232%
China (.cn)0.232%
Slovakia (.sk)0.232%
Antigua and Barbuda (.ag)0.232%
Portugal (.pt)0.155%
Spain (.es)0.155%
United States of America (.us)0.155%
United Arab Emirates (.ae)0.155%
Taiwan (Republic of China) (.tw)0.155%
Romania (.ro)0.155%
Malaysia (.my)0.155%
Finland (.fi)0.155%
India (.in)0.155%
Tuvalu (.tv)0.155%
Belarus (.by)0.155%
British Indian Ocean Territory (.io)0.155%
Biz (.biz)0.077%
Thailand (.th)0.077%
Saudi Arabia (.sa)0.077%
New Zealand (.nz)0.077%
Latvia (.lv)0.077%
Croatia (.hr)0.077%
Shop (.shop)0.077%
Japan (.jp)0.077%
Bosnia and Herzegovina (.ba)0.077%
Gibraltar (.gi)0.077%
Cat (.cat)0.077%
Brazil (.br)0.077%
Mexico (.mx)0.077%
Cyprus, Republic of (.cy)0.077%
Columbia (.co)0.077%
Coop (.coop)0.077%
Lithuania (.lt)0.077%
Kuwait (.kw)0.077%
Pro (.pro)0.077%

Popular Sites Using Pimcore

We detected the following sites were using Pimcore







How We Detect Installations of Pimcore


HTTP headers, including cookies, can be used in same situations to identify a CMS.


If a CMS doesn't have meta tags, it will often have other uniquely identifiable html markup. This can range from unique html comments, ids or classes.

Let us know if you have any suggestions on how we can better detect Pimcore installations

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