⚡ Serverless Computing Platforms in Korea

Serverless computing allows developers to run backend code without managing servers.

Korea is an East Asian country with a population of around 52 million people.

According to our research, serverless computing platforms are detected on 0.6% of websites from Korea.

⭐ Most Popular in 2026

The following chart shows the top serverless platforms in Korea in 2026, based on market share.

The most popular is Vercel Serverless Functions with an impressive share of 39.7%, followed by AWS Lambda with 28.5% and CloudFront Functions with 19.9%.

🚀 Highlights

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

✨ Best Serverless Platforms

Below is a more detailed list of 5 serverless platforms used on sites from Korea, ranked by their market share.

RankNameMarket share
1
Vercel Serverless Functions
San Francisco, California, United States

Enable running code on-demand without needing to manage your own infrastructure, provision servers, or upgrade hardware.

Free$20+/user/month
2
AWS Lambda
Seattle, Washington, United States

A serverless compute service provided by Amazon Web Services that executes code in response to events and maintains resources automatically.

Free tier
3
CloudFront Functions
Seattle, Washington, United States

A serverless compute feature that allows users to run JavaScript code at edge locations for large-scale, latency-sensitive CDN customizations.

Free tier$$$
4
Google Cloud Run
Mountain View, California, United States

A pay-as-you-go serverless service that allows to run code in the cloud with no servers or containers.

Free tier
5
Cloudflare Workers
San Francisco, California, United States

A serverless computing platform that offers a highly scalable, low latency JavaScript execution environment that is available at the edge of Cloudflare's global network.

Free$5+/month

👉 See Also

Data is based on the analysis of 25,802 websites from Korea.
Statistics were last calculated on .
For details, see our methodology and disclaimer.