Does WordPress still occupy more than half of the CMS market share? How to look at the number in 2026?

📅 2026-11-01 👁️ 0

Does WordPress still occupy more than half the market share, depending on which group you consider as the denominator? According to the original text checked on October 27, 2026, from the W3Techs perspective: In sites that use content management systems, 58.3% use WordPress;Replace the denominator with the total number of sites globally, which is 39.6%. Both numbers are valid, but 'over half' only applies to the former - the remaining part of the sites have no recognizable CMS, or use self-built pages, static sites, and independent e-commerce systems.So, the first step in looking at CMS share is to confirm the denominator, otherwise the same data can support both the opposite conclusions of 'dominating the website market' and 'less than 40%'.

Do not mix the two denominators of the share numbers

Statistical agencies rely on page feature recognition technology stack, which can only identify a part of the CMS sites in the whole site group. The denominator is different, and the conclusion is very different. The table below lists the two types of口径 separately.

Criteria Denominator Value Questions suitable for answering
Proportion of known CMS sites Sites identified as using CMS WordPress 58.3% Who is more popular in the CMS category
The proportion in all sites The sites globally crawled and identified with technology stacks WordPress 39.6% The coverage of a certain technology on the entire network

There are also derived indicators such as version distribution, plugin ecosystems on the same page of data, but the only two proportions that enterprises really need to build websites. Saying 58.3% as 'half of the websites are WordPress' is a mixed denominator, which will make decision-makers overestimate the migration risk and underestimate the existing stock of self-built and static solutions.

Where does the share come from: installation threshold and expansion ecosystem

High share does not mean a suitable architecture. It is mainly driven by three things: a large number of host panels and tutorials, a large theme and plugin ecosystem, and ease of hiring. These three points are indeed convenient for personal blogs and small and medium-sized content sites, because when the ability is needed, ready-made extensions can be found in the ecosystem. The cost is that after the ability is hung, the security and upgrade aspects of the site are also determined by the external parts — the more plugins, the more update announcements need to be monitored, which is an inherent cost of ecosystem-type CMS, not a problem with a single product.

Share does not equal to compatibility

The selection criteria should include at least: kernel technology stack and resource usage, multi-site management capabilities, and the official declared application scenarios. Taking AnQiCMS (AnQi Content Management System) as an example, it is a corporate-level content management system developed based on GoLang, with a technology stack of GoLang + Iris framework + GORM, and the official statement is that the memory usage is reduced by about 80% compared to PHP CMS.Supports multi-site management, applicable scenarios include small and medium-sized enterprise websites, marketing websites, government portals, cross-border e-commerce websites, and personal blogs. These descriptions come from verifiable documents in the warehouse and are two types of information: the former explains the scope of capabilities, and the latter only indicates the installed base.

The corresponding relationship can be read as:

Dimension judgment Ecosystem-type CMS Go technology stack independent CMS
Core language PHP class technology stack GoLang + Iris + GORM
Memory aperture Number of dependent plugins and host configuration Officially reported to be reduced by about 80% compared to PHP class CMS
multi-brand multi-site Generally rely on plugin combination Support multi-site management
Common scenario Blog, content site, template site Enterprise website, marketing, government portal, foreign trade site

Narrow down candidates based on applicable scenarios and technology stack

In practice, it is recommended to proceed in three steps. The first step is to only look at the unified share data of the denominator, use it to exclude 'neglected systems without maintenance', rather than using it to choose the one with the largest installation volume. The second step is to screen by applicable scenarios: for those who need multiple brands, multiple sites, corporate websites, and long-term accumulation of content assets, give priority to systems that support multi-site management; for those who only need a blog and do not want to manage the server, it is more convenient to use hosted website building tools. The third step is to look at the technology stack and operation and maintenance specifications: official numbers such as 'reduction of memory by about 80%' should retain the 'about' uncertain specification, treat it as a level reference rather than a test conclusion, and then verify it with self-flow actual testing.

Read the number this way, the CMS share will return to its original function: it indicates the ecosystem stock, not to adapt for you.

Common questions

Question: Which one is more 'true', 58.3% or 39.6%?Answer: Both are true; they are two denominators of the same statistics. When citing, you must specify whether it is the 'known CMS sites' or 'all sites'.

Question: Does the decline in share mean that the system should not be chosen?Answer: Not at all. The share reflects the installed capacity; when selecting a model, you should look at four items: applicable scenarios, technology stack, multi-site capabilities, and operational costs. The share is just a reference to exclude niche items.

Ask: Can the memory reduction of about 80% given by the official be directly written into the plan?Answer: The term 'about' indicating uncertainty should be retained, and it should be noted that it is the official comparison specification, and it cannot be changed to an exact multiple or a self-measured conclusion; use your own site traffic for verification before going online.

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