Most Popular Streaming Platforms Languages

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Top platforms languages by share of watchtime, last 30 days

Twitch
1.48B
Hours Watched
English
48.87%
Russian
12.05%
German
7.67%
Kick
427.51M
English
22.34%
Spanish
20.67%
Arabic
20.04%
Trovo
3.80M
Russian
95.46%
English
2.38%
Spanish
0.4%
NimoTV
15.67M
Vietnamese
62.24%
English
14.42%
Turkish
6.22%
SOOP Global
60K
Korean
54.44%
Thai
32.46%
English
10.97%

Twitch vs. Kick Viewership Trends: Top Languages by Average Viewers, last 30 days

English
Spanish
Portuguese
Chinese
Russian
Korean
French
Thai
Vietnamese
German
Polish
Japanese
Turkish
Indonesian
Hindi
Romanian
Arabic
Bulgarian
Greek
Czech
Swedish
Finnish
Slovak
Norwegian
Dutch
Hungarian
Italian
Danish
Serbian
Mongolian
Ukrainian
Nepali
Tamil
Urdu
Kazakh
Khmer
Tagalog
Punjabi
Serbo-Croatian
Albanian
Uzbek
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Streaming languages FAQ

  • What is the Language Page?

    The Language Page provides insights into the most popular languages across various streaming platforms based on watchtime and viewership dynamics over the last 30 days. It helps identify audience preferences by language on platforms such as Twitch, Kick, Trovo, NimoTV, and SOOP Global.

  • How are the "Top Platform Languages" determined?

    The top languages for each platform are determined by their share of total watchtime in the last 30 days. This data highlights the most-watched languages on each platform.

  • What does the "Hours Watched" metric represent?

    "Hours Watched" is the total amount of time viewers have spent watching streams in a specific language on a platform during the last 30 days. It is a key metric to gauge the popularity of a language within a platform.

  • Can I view detailed statistics for each platform?

    Yes! By clicking on the "All [Platform] list" buttons, you can access detailed statistics for the selected platform, including the breakdown of languages and their watchtime.

  • Which platforms are included in the data?

    The Language Page currently includes data for Twitch, Kick, Trovo, NimoTV, and SOOP Global. Each platform is analyzed for its language distribution and viewership dynamics.