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" * Target language: English. * Constraints: * Professional translator. * 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 (Josei haishinsha): Female streamers / female broadcasters. * いつ (itsu): when. * どのサイトに多い (dono saito ni ooi): which sites have the most / where are they most numerous. * 曜日×時間ヒートマップ (youbi x jikan hiitomappu): Day of the week x Time heatmap. * サイト比較 (saito hikaku): 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/Title 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? Yes. * No preamble? Yes. * No 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" * Target language: English. * Constraints: * Professional translator. * 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 (Josei haishinsha): Female streamers / female broadcasters. * いつ (itsu): when. * どのサイトに多い (dono saito ni ooi): which sites have the most / where are they most numerous. * 曜日×時間ヒートマップ (youbi x jikan hiitomappu): Day of the week x Time heatmap. * サイト比較 (saito hikaku): 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/Title 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? Yes. * No preamble? Yes. * No 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 2026-08-03–2026-08-09 (Mon–Sun) / Updated 2026.08.10・our aggregated data
* Task: Professional translation of an HTML fragment into English.
* Source Language: Japanese.
* Target Language: English.
* Constraints:
* Output only the translated HTML fragment.
* No preamble, no markdown code fences.
* Keep all HTML tags, attributes, and order exactly as-is.
* Translate only visible text.
* Keep numbers, percentages, and dates unchanged.
* Do not translate brand/site names (Stripchat, Chaturbate, CamSoda, Cam4, BongaCams).
* Maintain a neutral, factual tone.
* Do not add or remove content.
* *Paragraph 1:* "2026年8月3日から8月9日までの1週間を対象に、主要なライブ配信サービスにおける女性配信者の活動傾向を曜日・時間帯別の平均同時配信者数とサイト別の規模感から読み解く。サイトごとに配信のピークを迎える曜日や時間帯には明確な違いが見られ、視聴者数にも特徴が表れている。"
* *Translation:* For the week from August 3 to August 9, 2026, we analyze the activity trends of female streamers on major live streaming services based on the average number of simultaneous streamers by day of the week and time slot, as well as the scale of each site. Clear differences are observed in the days and times when streaming peaks for each site, and these characteristics are also reflected in the number of viewers.
* *Heading 1:* "曜日と時間帯から見るサイト別の傾向"
* *Translation:* Site-specific Trends by Day of the Week and Time Slot
* *Paragraph 2:* "各サイトのピーク時間を比較すると、配信が最も活発になるタイミングは大きく分散している。Stripchatは木曜17時台に平均同時配信者数が1813と最大になり、夕方の時間帯に集中する傾向がうかがえる。一方、Camsodaも同じ木曜にピークを持つが、その時間は0時台で1329と深夜帯に強みがある。曜日が一致しても、時間帯が異なる点は興味深い。"
* *Translation:* Comparing the peak times of each site, the timing when streaming is most active is widely dispersed. Stripchat reaches its maximum average number of simultaneous streamers at 1813 during the 17:00 hour on Thursday, indicating a tendency to concentrate in the evening. On the other hand, Camsoda also peaks on the same Thursday, but at 1329 during the 0:00 hour, showing strength in the late-night slot. It is interesting that while the day is the same, the time slots differ.
* *Paragraph 3:* "Chaturbateは月曜18時台に1125と、週初めの夕刻にピークを迎える。これに対し、Cam4は土曜3時台に849と、週末の深夜に最も配信者が増えるパターンを示した。Bongacamsは金曜6時台に1415と、早朝にピークが出現している。このように、サイトごとに配信者数が最大化する曜日と時間帯が異なることは、利用者の生活リズムや地域性の違いを反映している可能性がある。"
* *Translation:* Chaturbate peaks at 1125 during the 18:00 hour on Monday, in the early evening at the start of the week. In contrast, Cam4 showed a pattern where the number of streamers increases most during the late night of the weekend, at 849 during the 3:00 hour on Saturday. Bongacams has a peak of 1415 during the 6:00 hour on Friday, appearing in the early morning. The fact that the days and times when the number of streamers is maximized differ by site may reflect differences in users' daily rhythms and regional characteristics.
* *Heading 2:* "サイト別の配信規模と視聴者特性"
* *Translation:* Streaming Scale and Viewer Characteristics by Site
* *Paragraph 4:* "期間中の延べ配信者数(uid)を見ると、Stripchatが22832と最も多く、次いでChaturbateが20753と続く。平均同時配信者数でもStripchatが1711と高い水準を保つが、配信の規模感だけでは測れない指標として、1配信あたりの平均視聴者数に注目したい。"
* *Translation:* Looking at the total number of streamers (uid) during the period, Stripchat is the highest at 22832, followed by Chaturbate at 20753. Stripchat also maintains a high level of average simultaneous streamers at 1711, but as a metric that cannot be measured by the scale of streaming alone, we want to focus on the average number of viewers per stream.
* *Paragraph 5:* "この値はChaturbateが735.6と突出しており、他のサイトが10.4〜66.1の範囲に収まるのと比べて大きな差がある。延べ配信者数ではStripchatに及ばないものの、1配信が集める視聴者の数ではChaturbateが圧倒的優位にあると言える。一方、Cam4は平均視聴者数が10.4と低く、配信者一人あたりの視聴者獲得という面では異なる状況がうかがえる。"
* *Translation:* This value is outstanding for Chaturbate at 735.6, showing a significant difference compared to other sites, which fall within the range of 10.4 to 66.1. Although it does not reach Stripchat in terms of the total number of streamers, it can be said that Chaturbate has an overwhelming advantage in the number of viewers attracted per stream. Meanwhile, Cam4 has a low average number of viewers at 10.4, suggesting a different situation in terms of viewer acquisition per streamer.
* *Paragraph 6:* "これらの数値からは、単純な配信者数の多さだけでなく、どの程度の視聴者を集めやすいかという点でサイトの特性が分かれることが読み取れる。配信を行う時間帯や曜日の選択に加え、こうした視聴者分布の違いを踏まえることが、より効果的な活動を検討する上での手がかりになるだろう。"
* *Translation:* From these figures, it can be seen that site characteristics differ not only in the simple number of streamers but also in how easily they can attract viewers. In addition to choosing the time slot and day of the week for streaming, taking these differences in viewer distribution into account will likely provide clues for considering more effective activities.
* Check tags: `
`, `
`, ``. All preserved.
* Check brands: Stripchat, Chaturbate, CamSoda, Cam4, BongaCams. All preserved.
* Check numbers/dates: 2026年8月3日 -> August 3, 2026. 1813, 1329, etc. All preserved.
* Check tone: Neutral and factual.
* Check constraints: No preamble, no markdown.
For the week from August 3 to August 9, 2026, we analyze the activity trends of female streamers on major live streaming services based on the average number of simultaneous streamers by day of the week and time slot, as well as the scale of each site. Clear differences are observed in the days and times when streaming peaks for each site, and these characteristics are also reflected in the number of viewers.
Site-specific Trends by Day of the Week and Time Slot
Comparing the peak times of each site, the timing when streaming is most active is widely dispersed. Stripchat reaches its maximum average number of simultaneous streamers at 1813 during the 17:00 hour on Thursday, indicating a tendency to concentrate in the evening. On the other hand, Camsoda also peaks on the same Thursday, but at 1329 during the 0:00 hour, showing strength in the late-night slot. It is interesting that while the day is the same, the time slots differ.
Chaturbate peaks at 1125 during the 18:00 hour on Monday, in the early evening at the start of the week. In contrast, Cam4 showed a pattern where the number of streamers increases most during the late night of the weekend, at 849 during the 3:00 hour on Saturday. Bongacams has a peak of 1415 during the 6:00 hour on Friday, appearing in the early morning. The fact that the days and times when the number of streamers is maximized differ by site may reflect differences in users' daily rhythms and regional characteristics.
Streaming Scale and Viewer Characteristics by Site
Looking at the total number of streamers (uid) during the period, Stripchat is the highest at 22832, followed by Chaturbate at 20753. Stripchat also maintains a high level of average simultaneous streamers at 1711, but as a metric that cannot be measured by the scale of streaming alone, we want to focus on the average number of viewers per stream.
This value is outstanding for Chaturbate at 735.6, showing a significant difference compared to other sites, which fall within the range of 10.4 to 66.1. Although it does not reach Stripchat in terms of the total number of streamers, it can be said that Chaturbate has an overwhelming advantage in the number of viewers attracted per stream. Meanwhile, Cam4 has a low average number of viewers at 10.4, suggesting a different situation in terms of viewer acquisition per streamer.
From these figures, it can be seen that site characteristics differ not only in the simple number of streamers but also in how easily they can attract viewers. In addition to choosing the time slot and day of the week for streaming, taking these differences in viewer distribution into account will likely provide clues for considering more effective activities.
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.