Home ／ Trends ／ <thought>* Source text: "女性配信者はいつ・どのサイトに多い？曜日×時間ヒートマップとサイト比較" * Language: Japanese. * Target language: English. * Constraints: * Professional translation. * Output only the translation on a single line. * No quotes, no preamble, no markdown. * Keep numbers and percentages unchanged. * Do not translate brand/site names (Stripchat, Chaturbate, CamSoda, Cam4, BongaCams). * 女性配信者は (Female streamers/broadcasters) * いつ (when) * どのサイトに (on which sites) * 多い？ (are there many/most frequent?) * 曜日×時間ヒートマップ (Day of the week x Time heatmap) * と (and) * サイト比較 (site comparison) * *Literal:* When and on which sites are female streamers most numerous? Day of the week x time heatmap and site comparison. * *More natural/professional:* When and on which sites are female streamers most active? Day-of-the-week x time heatmap and site comparison. * *Concise/Article style:* When and where are female streamers most active? Day/Time Heatmap and Site Comparison. * "When and on which sites are female streamers most active? Day-of-the-week x time heatmap and site comparison" * Single line? Yes. * No quotes/preamble/markdown? Yes. * Numbers/percentages unchanged? N/A (none present). * Brand names preserved? N/A (none present).</thought>When and on which sites are female streamers most active? Day-of-the-week x time heatmap and site comparison
<thought>* Source text: "女性配信者はいつ・どのサイトに多い？曜日×時間ヒートマップとサイト比較" * Language: Japanese. * Target language: English. * Constraints: * Professional translation. * Output only the translation on a single line. * No quotes, no preamble, no markdown. * Keep numbers and percentages unchanged. * Do not translate brand/site names (Stripchat, Chaturbate, CamSoda, Cam4, BongaCams). * 女性配信者は (Female streamers/broadcasters) * いつ (when) * どのサイトに (on which sites) * 多い？ (are there many/most frequent?) * 曜日×時間ヒートマップ (Day of the week x Time heatmap) * と (and) * サイト比較 (site comparison) * *Literal:* When and on which sites are female streamers most numerous? Day of the week x time heatmap and site comparison. * *More natural/professional:* When and on which sites are female streamers most active? Day-of-the-week x time heatmap and site comparison. * *Concise/Article style:* When and where are female streamers most active? Day/Time Heatmap and Site Comparison. * "When and on which sites are female streamers most active? Day-of-the-week x time heatmap and site comparison" * Single line? Yes. * No quotes/preamble/markdown? Yes. * Numbers/percentages unchanged? N/A (none present). * Brand names preserved? N/A (none present).</thought>When and on which sites are female streamers most active? Day-of-the-week x time heatmap and site comparison
Observation period 2026-08-10–2026-08-16 (Mon–Sun) ／ Updated 2026.08.17・our aggregated data
* Task: Professional translation of an HTML fragment from Japanese to English.
* Rules:
* Output only the translated HTML.
* No preamble, no markdown code fences.
* Keep HTML tags, attributes, and order exactly as-is.
* Translate only visible text.
* Keep numbers, percentages, dates unchanged.
* Do not translate brand/site names (Stripchat, Chaturbate, CamSoda, Cam4, BongaCams).
* Maintain neutral, factual tone.
* No adding or removing content.
* *Paragraph 1:* "2026年8月10日から8月16日までの1週間を対象に、各ライブ配信サイトにおける女性配信者の曜日・時間帯別の平均同時配信者数と、サイト別の配信者数・視聴者数を集計した。ここでは、サイトごとのピークの出方と配信規模・視聴者分布の違いから読み取れる傾向を整理する。"
* Translation: For the week from August 10 to August 16, 2026, the average number of simultaneous female broadcasters by day of the week and time slot on each live streaming site, as well as the number of broadcasters and viewers by site, were aggregated. Here, we organize the trends that can be read from the differences in peak patterns, streaming scale, and viewer distribution for each site.
* *Heading 1:* "サイトごとに異なるピークの曜日と時間帯"
* Translation: Different Peak Days and Time Slots by Site
* *Paragraph 2:* "ピークとなる曜日と時間帯はサイトによって分かれた。"
* Translation: The peak days and time slots varied by site.
* *List Item 1:* "Stripchatは金曜20時台に平均同時配信者数が1804と最も多く、週末夜の時間帯に集中している。"
* Translation: Stripchat had the highest average number of simultaneous broadcasters at 1804 during the 20:00 hour on Fridays, concentrating in the weekend evening time slots.
* *List Item 2:* "Chaturbateは月曜19時台に1133と、週の初めの夜にピークを迎える。"
* Translation: Chaturbate reached its peak at 1133 during the 19:00 hour on Mondays, peaking on the night at the beginning of the week.
* *List Item 3:* "Camsodaは土曜0時台に1322、Cam4は土曜3時台に856と、土曜の深夜から未明にかけて高くなる。"
* Translation: Camsoda was 1322 during the 0:00 hour on Saturdays, and Cam4 was 856 during the 3:00 hour on Saturdays, increasing from late Saturday night to the early morning.
* *List Item 4:* "Bongacamsは金曜7時台に1411と、朝の時間帯にピークが見られた。"
* Translation: Bongacams showed a peak in the morning time slot, with 1411 during the 7:00 hour on Fridays.
* *Paragraph 3:* "このように、金曜夜・月曜夜・土曜深夜・金曜朝と、サイトごとに利用が伸びる時間帯が異なるため、視聴者側・配信者側のどちらにとっても、サイトの特性に合わせた時間帯の把握が参考になる。"
* Translation: As such, since the time slots where usage increases differ by site—Friday night, Monday night, Saturday late night, and Friday morning—understanding the time slots according to the characteristics of the site is useful for both viewers and broadcasters.
* *Heading 2:* "サイト別の配信規模と視聴者集中度の違い"
* Translation: Differences in Streaming Scale and Viewer Concentration by Site
* *Paragraph 4:* "延べ配信者数ではStripchatが23005、Chaturbateが21081と、他サイトと比べて多い。平均同時配信者数もStripchatが1717.2と最も高い。一方、1配信あたりの平均視聴者数ではChaturbateが690.6と他を大きく引き離しており、CamsodaやStripchat、Bongacamsは50〜70人程度、Cam4は11.1人となっている。"
* Translation: In terms of total broadcasters, Stripchat had 23005 and Chaturbate had 21081, which are higher compared to other sites. The average number of simultaneous broadcasters was also highest for Stripchat at 1717.2. On the other hand, in terms of the average number of viewers per stream, Chaturbate significantly outperformed the others at 690.6, while Camsoda, Stripchat, and Bongacams were around 50 to 70 people, and Cam4 was 11.1 people.
* *Paragraph 5:* "このことから、Chaturbateは配信枠あたりの視聴者集中度が高く、他のサイトは配信者数に対して視聴者が分散しやすい傾向が見える。"
* Translation: From this, it can be seen that Chaturbate has a high degree of viewer concentration per streaming slot, while other sites tend to have viewers more dispersed relative to the number of broadcasters.
* *Heading 3:* "データから考える運用のヒント"
* Translation: Operational Tips Based on Data
* *Paragraph 6:* "この集計期間の結果を見る限り、配信の混雑時間帯や視聴者の集まり方はサイトごとに差がある。配信を行う側は、単に配信者数の多いサイトを選ぶだけでなく、自分の配信時間帯にどのサイトで視聴者が集まりやすいか、あるいは1配信あたりの視聴者数が多いサイトで差別化を図るかといった観点で比較することが考えられる。一方、視聴者側も、見たい時間帯に配信者が多いサイトを選ぶ際の参考になる。"
* Translation: Based on the results of this aggregation period, there are differences between sites in terms of peak streaming hours and how viewers gather. Broadcasters should consider comparing sites not only by choosing those with a high number of broadcasters but also by looking at which site viewers are more likely to gather during their specific streaming time slot, or whether to differentiate themselves on a site with a higher number of viewers per stream. Meanwhile, for viewers, this can serve as a reference when choosing a site with many broadcasters during the time they wish to watch.
* *Paragraph 7:* "ただし、本データは1週間の集計であり、同時配信者数や視聴者数は時間やイベント、サイトの仕様などによって変動するため、傾向を参考にしつつ実際の状況を確認することが望ましい。"
* Translation: However, this data is an aggregation of one week, and since the number of simultaneous broadcasters and viewers fluctuates depending on time, events, and site specifications, it is advisable to check the actual situation while using these trends as a reference.
* Check tags: `
`, `
`, `
`, `
`, ``. All preserved.
* Check brands: Stripchat, Chaturbate, Camsoda, Cam4, Bongacams. All preserved.
* Check numbers/dates: 2026年8月10日... 1804, 1133, etc. All preserved.
* Tone: Neutral and factual.
* No markdown fences.
For the week from August 10 to August 16, 2026, the average number of simultaneous female broadcasters by day of the week and time slot on each live streaming site, as well as the number of broadcasters and viewers by site, were aggregated. Here, we organize the trends that can be read from the differences in peak patterns, streaming scale, and viewer distribution for each site.
Different Peak Days and Time Slots by Site
The peak days and time slots varied by site.
Stripchat had the highest average number of simultaneous broadcasters at 1804 during the 20:00 hour on Fridays, concentrating in the weekend evening time slots.
Chaturbate reached its peak at 1133 during the 19:00 hour on Mondays, peaking on the night at the beginning of the week.
Camsoda was 1322 during the 0:00 hour on Saturdays, and Cam4 was 856 during the 3:00 hour on Saturdays, increasing from late Saturday night to the early morning.
Bongacams showed a peak in the morning time slot, with 1411 during the 7:00 hour on Fridays.
As such, since the time slots where usage increases differ by site—Friday night, Monday night, Saturday late night, and Friday morning—understanding the time slots according to the characteristics of the site is useful for both viewers and broadcasters.
Differences in Streaming Scale and Viewer Concentration by Site
In terms of total broadcasters, Stripchat had 23005 and Chaturbate had 21081, which are higher compared to other sites. The average number of simultaneous broadcasters was also highest for Stripchat at 1717.2. On the other hand, in terms of the average number of viewers per stream, Chaturbate significantly outperformed the others at 690.6, while Camsoda, Stripchat, and Bongacams were around 50 to 70 people, and Cam4 was 11.1 people.
From this, it can be seen that Chaturbate has a high degree of viewer concentration per streaming slot, while other sites tend to have viewers more dispersed relative to the number of broadcasters.
Operational Tips Based on Data
Based on the results of this aggregation period, there are differences between sites in terms of peak streaming hours and how viewers gather. Broadcasters should consider comparing sites not only by choosing those with a high number of broadcasters but also by looking at which site viewers are more likely to gather during their specific streaming time slot, or whether to differentiate themselves on a site with a higher number of viewers per stream. Meanwhile, for viewers, this can serve as a reference when choosing a site with many broadcasters during the time they wish to watch.
However, this data is an aggregation of one week, and since the number of simultaneous broadcasters and viewers fluctuates depending on time, events, and site specifications, it is advisable to check the actual situation while using these trends as a reference.
These figures are aggregated hourly by our site from publicly available information on each streaming site and may differ from the actual values reported by each service.
