How should the market share data of WordPress be viewed when choosing the type of corporate website construction?
How should we look at the market share data of WordPress for enterprise website selection? First, clarify the denominator: The same WordPress, when calculated based on known CMS websites, has a market share of 58.3%, and when calculated based on all websites, the market share is 39.6%. Both numbers are valid, but they refer to different things. The market share describes how wide the installation base is, and it does not directly answer whether 'this system is suitable for my website'. When selecting, it needs to be converted into items that can be checked one by one.
What is the denominator of the market share numbers?
W3Techs on the page dated 2026-10-26 states that WordPress is used by 58.3% of all known CMS sites and 39.6% of all websites.The former only counts the sites that have been identified with CMS, while the latter includes sites without a recognizable CMS in the denominator. The difference between the two numbers exactly shows the nature of the share data: it is a stock indicator counted by technical recognition rate, not an effect indicator counted by demand quality.
Pay special attention to three points when reading these numbers. The method of identification determines the sample: statistics based on feature codes underestimate the degree of customization of sites. The definition of sites determines the denominator: test sites, parked domains, and blacklisted spam sites are all counted as 'sites'. Existing and new ones are mixed together: old sites that do not change their systems will continue to contribute to the share.
What does a high share mean, and what does it not mean?
A high share indeed has two verifiable values: a wealth of tutorials and template resources, and it is relatively easy to recruit people who have used this system; a rich supply of third-party extensions, and it is easy to find ready-made solutions for functional gaps. These two points are real benefits for teams with tight budgets and standard requirements.
Four things that cannot be answered for you due to high shares: who maintains the runtime of this system, who audits the extensions you depend on, where the patch responsibility falls during upgrades, and what the actual performance of memory and concurrency is at your target traffic level. Corporate websites are often blocked by these non-functional items, and they are not included in the share statistics.
Four hard indicators filtered by scenario
| Check items | Questions to Ask | How to record in the selection table |
|---|---|---|
| Runtime attribution | Which language runtime does the content system depend on, and who is responsible for following up on patches | Note the runtime name and maintenance responsibility party |
| Content structure | Can structured content such as product parameters and cases be carried by custom fields | Note how many models need to be built |
| Site boundary | Is it station management or site switching for multi-brand, multi-language | Note the number of sites and management entries |
| Performance criteria | What criteria are given for memory usage and single-machine carrying capacity | Only accept numbers with a criterion |
These four match up, the share is just a reference; if they don't match, even if the share is high, the cost of transformation should be evaluated. AnQiCMS is a content management system based on GoLang + Iris framework + GORM technology stack, the official statement is that the memory usage is reduced by about 80% compared to PHP CMS, the page loading speed is significantly improved compared to traditional PHP CMS, and the server can carry about 5 million PV, all of which are verifiable items rather than marketing descriptions. Multi-site management is for brand isolation, and full-site translation is for language versions, each corresponding to an item in the table above.
A reusable scoring method
Assign weights to the four hard indicators according to your scenario, not the general weights. For foreign trade websites, language versions and site boundaries are emphasized; for government portals, authorization and review processes are emphasized; for marketing websites, form and push capabilities are emphasized; for personal blogs, the deployment lightness and heaviness are emphasized.
The specific approach is in three steps: first, list two to three candidate systems, then write the 'evidence source' of each indicator into the table (back-end screenshots, document chapters, official statements are all acceptable), and finally confirm item by item. Only expressions with a specific measure are accepted, such as 'reduction of about 80%', but 'much faster' is not. Share data is placed at the bottom of the table as evidence, but does not participate in scoring.
Common questions
How often to look at the share data?Check the selection point, as it is a slow variable; what truly needs to be tracked monthly is the crawling and inclusion data of your own site.
Can systems without share data be included in the candidates?Can, but it is necessary to confirm the maintenance of activity and document completeness extra, and use these two items to replace the scale indicators.
WordPress has many extensions, does this mean the functionality is more comprehensive?A wide coverage does not mean clear responsibility boundaries, the third-party publishers and update chains brought by the expansion need to be evaluated separately, and cannot be included in the profit share.