🆚 Preload vs. Speculation Rules
- 📈 Preload is noticeably more popular than Speculation Rules.
- 🌎 Preload is more popular in the United States, the United Kingdom, and Germany.
- 🌍 Speculation Rules is more popular in Israel, Pakistan, and the Philippines.
Type
About
The rel="preload" attribute on HTML <link> elements instructs web browsers to fetch important resources early before they are requested during page rendering.
It is commonly used to prioritize fonts, stylesheets, scripts, images, and other critical assets, helping reduce render delays and improve page loading performance.
The Speculation Rules API is a browser API that improves navigation performance by prefetching or prerendering pages that users are likely to visit next.
It uses JSON-based rules embedded in
HTML or HTTP headers, and is designed as a successor to older techniques such as
Prefetch and the deprecated
Prerender attribute.
Headquarters
Categories
Popularity
Determined by the number of sites using each technology.
Market share
Popularity by country
Determined by the number of sites detected from each country.
Awards
- 🥇 Most popular in Saint Helena in the Performance Optimization category.
- 🥇 Most popular in Turkmenistan in the Performance Optimization category.
- 🥈 Second most popular in Germany in the Performance Optimization category.
- 🥈 Second most popular in Indonesia in the Performance Optimization category.
- 🥈 Second most popular in Austria in the Performance Optimization category.
- 🥉 Third most popular in Uganda in the Performance Optimization category.
- 🥉 Third most popular in Trinidad and Tobago in the Performance Optimization category.
- 🥉 Third most popular in Rwanda in the Performance Optimization category.
- 🥉 Third most popular in Jersey in the Performance Optimization category.
- 🥉 Third most popular in Guyana in the Performance Optimization category.
Popularity by domain category
Determined by the number of sites in each category.
Top sites
Top-ranked sites that use these technologies.
Compare alternatives
Technologies with similar characteristics.
See also
🗃️ 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 3,531,690 websites.
- Statistics were last calculated on .
- For more details, see our methodology and disclaimer.


