⚡ Semantic Markup in Singapore

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.

Singapore is a Southeast Asian country with a population of over 6 million people.

According to our research, semantic markup technologies are used on 72.5% of websites from Singapore.

Statistics based on 15K+ analyzed websites. About this data

⭐ Most Popular in 2026

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

The most popular is ARIA with an impressive share of 88.5%, followed by Open Graph with 70.7% and Twitter Cards with 55.9%.

ARIA 88.5%
Open Graph 70.7%
Twitter Cards 55.9%
JSON-LD 54.9%
oEmbed 40.3%
SearchAction 39.8%
Microdata 21.3%
Microformats 5.1%
Dublin Core 1.5%
RDFa 0.8%
Product Ontology 0.07%
Microformats2 0.03%
GoodRelations 0.03%

🚀 Highlights

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

11. Product Ontology ^(-1)

✨ Best Semantic Markup Technologies

Below is a more detailed list of 13 semantic markup technologies used on sites from Singapore, 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.	88.5%
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.	70.7%
3	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.	55.9%
4	JSON-LD Cambridge, Massachusetts, United States A lightweight linked data format used to embed structured data into web pages.	54.9%
5	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.	40.3%
6	SearchAction Cambridge, Massachusetts, United States A structured data type from Schema.org that describes a website's search capability.	39.8%
7	Microdata Cambridge, Massachusetts, United States An HTML specification that is used to nest metadata within a document, in parallel with the existing content.	21.3%
8	Microformats A set of defined HTML classes and attributes created to serve as descriptive metadata about an element, representing commonly published things like people, events, blog posts, reviews, and so on.	5.1%
9	Dublin Core A metadata element set used for documents and other objects.	1.5%
10	RDFa Cambridge, Massachusetts, United States An extension to HTML5 that adds attributes to markup things like people, places, events, recipes, and reviews.	0.8%
11	Product Ontology The Product Types Ontology provides 300,000 definitions for types of product or services that extend the schema.org and GoodRelations standards for e-commerce markup.	0.07%
12	Microformats2 A set of defined HTML classes and attributes created to serve as descriptive metadata about an element, representing commonly published things like people, events, blog posts, reviews, and so on.	0.03%
13	GoodRelations A standardized vocabulary for product, price, store, and company data that can be embedded into web pages.	0.03%

👉 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 15,979 websites from Singapore.
We currently track the presence of 14 semantic markup technologies across the web.
Of these, 13 were detected on websites from Singapore.
Statistics were last calculated on May 5, 2026.
For more details, see our methodology and disclaimer.