⚡ Semantic Markup in Taiwan

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.

Taiwan is an East Asian island country with a population of around 23.6 million people.

According to our research, semantic markup technologies are used on 74.3% of websites from Taiwan.

Statistics based on 16K+ analyzed websites. About this data

⭐ Most Popular in 2026

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

The most popular is Open Graph with an impressive share of 80.6%, followed by ARIA with 74.3% and JSON-LD with 47.2%.

Open Graph 80.6%
ARIA 74.3%
JSON-LD 47.2%
Twitter Cards 34%
SearchAction 24.7%
Microdata 22.5%
oEmbed 17.9%
Microformats 3.5%
Dublin Core 2%
RDFa 0.6%
Microformats2 0.06%
Product Ontology 0.008%
GoodRelations 0.008%

🚀 Highlights

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

1. Open Graph ^(-1)
3. JSON-LD ^(-1)
6. Microdata ^(-1)

✨ Best Semantic Markup Technologies

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

Rank	Name	Market share
1	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.	80.6%
2	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.	74.3%
3	JSON-LD Cambridge, Massachusetts, United States A lightweight linked data format used to embed structured data into web pages in a machine-readable form.	47.2%
4	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.	34%
5	SearchAction Cambridge, Massachusetts, United States A structured data type from Schema.org that describes a website's search capability.	24.7%
6	Microdata Cambridge, Massachusetts, United States An HTML specification used to embed structured metadata within web page content by annotating elements with machine-readable attributes.	22.5%
7	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.	17.9%
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.	3.5%
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.	2%
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.	0.6%
11	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.	0.06%
12	Product Ontology Neubiberg, Germany An e-commerce classification vocabulary that provides standardized definitions for product and service types used in structured data markup.	0.008%
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.	0.008%

👉 See Also

🌎 Semantic Markup in other countries
- China
- Japan
- Korea

🗃️ 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 16,296 websites from Taiwan.
We currently track the presence of 14 semantic markup technologies across the web.
Of these, 13 were detected on websites from Taiwan.
Statistics were last calculated on September 18, 2026.
For more details, see our methodology and disclaimer.