⚡ Semantic Markup in South Africa

Semantic markup is code added to web pages to describe the meaning of content elements and their relationships, giving search engines and other systems clearer context beyond visual layout.

South Africa is an African country with a population of over 60 million people.

According to our research, semantic markup technologies are used on 74% of websites from South Africa.

Statistics based on 18K+ analyzed websites. About this data

⭐ Most Popular in 2026

The following chart shows the top semantic markup technologies in South Africa in 2026, based on market share.

The most popular is ARIA with an impressive share of 92.2%, followed by Open Graph with 69.1% and oEmbed with 59.9%.

ARIA 92.2%
Open Graph 69.1%
oEmbed 59.9%
JSON-LD 57.6%
Twitter Cards 57.3%
SearchAction 46.4%
Microdata 21.2%
Microformats 5.1%
Dublin Core 1.3%
RDFa 0.8%
Product Ontology 0.03%
Microformats2 0.007%
GoodRelations 0.007%

🚀 Highlights

Here is a list of the top technologies that are more popular in South Africa than worldwide.
Differences between global and country rankings are shown in parentheses.

3. oEmbed ^(-2)
11. Product Ontology ^(-1)

✨ Best Semantic Markup Technologies

Below is a more detailed list of 13 semantic markup technologies used on sites from South Africa, ranked by their market share.

Rank	Name	Market share
1	ARIA Cambridge, Massachusetts, United States A W3C technical specification that defines how to improve the accessibility of web content and applications, particularly those with dynamic interfaces and custom controls.	92.2%
2	Open Graph Menlo Park, California, United States A web metadata standard that defines how webpages are described as structured objects for use in social graphs and enables their consistent representation.	69.1%
3	oEmbed San Francisco, California, United States An open format that allows websites to embed representations of external URLs such as videos, images, and posts from third-party services.	59.9%
4	JSON-LD Cambridge, Massachusetts, United States A lightweight linked data format used to embed structured data into web pages in a machine-readable form.	57.6%
5	Twitter Cards Bastrop, Texas, United States A metadata format used by X, originally Twitter, that enables links in posts to display rich previews with images, videos, and interactive media to increase engagement and traffic.	57.3%
6	SearchAction Cambridge, Massachusetts, United States A structured data type from Schema.org that describes a website's search capability.	46.4%
7	Microdata Cambridge, Massachusetts, United States An HTML specification used to embed structured metadata within web page content by annotating elements with machine-readable attributes.	21.2%
8	Microformats San Francisco, California, United States Microformats (μF) are a set of standardized HTML class names and attributes used to embed descriptive metadata within existing page content for entities such as people, events, reviews, and blog posts.	5.1%
9	Dublin Core Roseville, Minnesota, United States A metadata element set used to describe documents and other digital or physical resources in a standardized way.	1.3%
10	RDFa Cambridge, Massachusetts, United States An extension to HTML5 that embeds structured metadata within page content by adding attributes based on the RDF data model.	0.8%
11	Product Ontology Neubiberg, Germany An e-commerce classification vocabulary that provides standardized definitions for product and service types used in structured data markup.	0.03%
12	Microformats2 San Francisco, California, United States The second generation of the Microformats specification designed to make publishing and parsing structured data in HTML easier for both authors and developers.	0.007%
13	GoodRelations Neubiberg, Germany A standardized vocabulary for product, price, store, and company data that can be embedded into web pages and processed by search engines and other data-consuming services.	0.007%

👉 See Also

🌎 Semantic Markup in other countries

🗃️ About This Data

We evaluate the popularity of technologies based on the number of websites where we detect their usage.
Technologies without a detectable web footprint, and those we do not track, are not reflected in the calculated market share.
This report is based on the analysis of 18,621 websites from South Africa.
We currently track the presence of 14 semantic markup technologies across the web.
Of these, 13 were detected on websites from South Africa.
Statistics were last calculated on May 15, 2026.
For more details, see our methodology and disclaimer.