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" * Key terms: * 女性配信者 (Josei haishinsha): Female streamers/broadcasters. * いつ (itsu): When. * どのサイトに多い (dono saito ni ooi): Which sites have more/are more popular. * 曜日 (youbi): Day of the week. * 時間 (jikan): Time. * ヒートマップ (hiitomappu): Heatmap. * サイト比較 (saito hikaku): Site comparison. * "When and on which sites are female streamers most active? Day-of-the-week x time heatmap and site comparison." * "When and where are female streamers most common? Day/time heatmap and site comparison." * "When and on which sites are there more female streamers? Day x time heatmap and site comparison." * Professional translator. * English translation. * Single line. * No quotes, no preamble, no markdown. * Numbers/percentages unchanged (N/A here). * Do not translate brand/site names (N/A here). * "When and on which sites are female streamers most active? Day x time heatmap and site comparison" sounds natural and professional.</thought>When and on which sites are female streamers most active? Day 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" * Key terms: * 女性配信者 (Josei haishinsha): Female streamers/broadcasters. * いつ (itsu): When. * どのサイトに多い (dono saito ni ooi): Which sites have more/are more popular. * 曜日 (youbi): Day of the week. * 時間 (jikan): Time. * ヒートマップ (hiitomappu): Heatmap. * サイト比較 (saito hikaku): Site comparison. * "When and on which sites are female streamers most active? Day-of-the-week x time heatmap and site comparison." * "When and where are female streamers most common? Day/time heatmap and site comparison." * "When and on which sites are there more female streamers? Day x time heatmap and site comparison." * Professional translator. * English translation. * Single line. * No quotes, no preamble, no markdown. * Numbers/percentages unchanged (N/A here). * Do not translate brand/site names (N/A here). * "When and on which sites are female streamers most active? Day x time heatmap and site comparison" sounds natural and professional.</thought>When and on which sites are female streamers most active? Day x time heatmap and site comparison
Observation period 2026-08-31–2026-09-06 (Mon–Sun) ／ Updated 2026.09.07・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.
* No adding or removing content.
* *Paragraph 1:* "2026年8月31日から9月6日までの1週間における女性配信者の活動データからは、曜日や時間帯によって配信が集中するサイトの傾向に明確な違いが浮かび上がります。ここでは同時配信者数のピークに着目し、各サイトの特徴を読み解きます。"
* Translation: Activity data for female streamers during the week from August 31 to September 6, 2026, reveals clear differences in the trends of sites where streaming is concentrated depending on the day of the week and time of day. Here, we focus on the peaks in the number of simultaneous streamers to analyze the characteristics of each site.
* *Heading 1:* "サイト別ピークが示す曜日と時間帯の集中度"
* Translation: Concentration of Days and Time Slots Indicated by Site-Specific Peaks
* *Paragraph 2:* "サイトごとに最も配信が活発になる曜日と時間帯は大きく異なります。Stripchatは月曜17時台にピーク平均同時配信者数1795を記録し、平日の夕方が中心です。一方、Chaturbateは火曜20時台に1133と、夜の時間帯に集中しています。これに対し、Camsoda、Cam4、Bongacamsの3サイトはいずれも金曜にピークを迎えますが、その時間帯は大きく分散しています。Camsodaは1時台（1332）、Cam4は3時台（878）、Bongacamsは6時台（1420）と、深夜から早朝にかけて時間差でピークが出現する点が特徴的です。このように同じ金曜でも、各サイトの配信者数の山は異なる時間帯に形成されていることがわかります。"
* Translation: The days and time slots when streaming is most active vary significantly by site. Stripchat recorded a peak average number of simultaneous streamers of 1795 in the 17:00 slot on Mondays, centering on weekday evenings. On the other hand, Chaturbate is concentrated in the nighttime, with 1133 in the 20:00 slot on Tuesdays. In contrast, three sites—Camsoda, Cam4, and Bongacams—all peak on Fridays, but their time slots are widely dispersed. It is characteristic that peaks appear at different times from late night to early morning: Camsoda in the 1:00 slot (1332), Cam4 in the 3:00 slot (878), and Bongacams in the 6:00 slot (1420). This shows that even on the same Friday, the peaks in the number of streamers are formed at different time slots for each site.
* *Heading 2:* "サイト比較で見る配信者数と視聴者数のバランス"
* Translation: Balance Between Number of Streamers and Viewers in Site Comparison
* *Paragraph 3:* "サイト全体の規模感を示す延べ配信者数（uid）では、Stripchatが22743と最も多く、次いでChaturbateが21425と拮抗しています。一方、平均同時配信者数もStripchatが1701.6と突出しており、常時多くの配信が行われているサイトと言えます。しかし、1配信あたりの平均視聴者数に目を向けると、Chaturbateが576と他を大きく引き離しており、配信者一人ひとりに集まる視聴者の密度が高い傾向が読み取れます。対照的に、Cam4は平均同時配信者数716.9に対し1配信あたり平均視聴者が10.1と低く、配信者間の視聴者分散が顕著です。CamsodaやBongacamsは中間的な水準で、それぞれ平均視聴者数66.4、53.6となっています。これらの数値からは、サイトごとに配信者と視聴者のマッチング構造やコミュニティの性質が異なる可能性が示唆されます。"
* Translation: In terms of the total number of streamers (uid), which indicates the overall scale of the site, Stripchat has the most at 22743, followed closely by Chaturbate at 21425. Meanwhile, the average number of simultaneous streamers is also outstanding for Stripchat at 1701.6, making it a site where many streams are constantly taking place. However, looking at the average number of viewers per stream, Chaturbate far exceeds the others at 576, indicating a tendency for a higher density of viewers per individual streamer. In contrast, Cam4 has a low average of 10.1 viewers per stream compared to an average of 716.9 simultaneous streamers, showing a marked dispersion of viewers among streamers. Camsoda and Bongacams are at intermediate levels, with average viewer numbers of 66.4 and 53.6, respectively. These figures suggest that the matching structure between streamers and viewers, as well as the nature of the community, may differ by site.
* *Heading 3:* "時間帯の差異からうかがえる視聴者層の傾向"
* Translation: Viewer Trends Inferred from Differences in Time Slots
* *Paragraph 4:* "金曜にピークが集中するサイト間でも、時間帯の違いは利用者の生活リズムや地域性を反映しているかもしれません。深夜1時台のCamsoda、早朝3時台のCam4、さらに6時台のBongacamsと、ピークが連鎖的に移り変わる様子は、各サイトが異なるタイムゾーンの視聴者を主な対象としている可能性を感じさせます。ただし、今回のデータはあくまで1週間の平均同時配信者数であり、こうした傾向が常に当てはまるかは断定できません。配信者側の活動パターンやサイトの地域別プロモーションなど、複合的な要因が影響していると考えられます。"
* Translation: Even among sites where peaks are concentrated on Fridays, the differences in time slots may reflect the lifestyle rhythms and regionality of the users. The way peaks shift sequentially—Camsoda in the 1:00 late-night slot, Cam4 in the 3:00 early-morning slot, and Bongacams in the 6:00 slot—suggests the possibility that each site primarily targets viewers in different time zones. However, since this data is based solely on the average number of simultaneous streamers for one week, it cannot be concluded that these trends always apply. It is thought that complex factors, such as the activity patterns of the streamers and region-specific promotions by the sites, are influencing this.
* Check tags: `
`, `
`, ``. All preserved.
* Check brands: Stripchat, Chaturbate, Camsoda, Cam4, Bongacams. All preserved.
* Check numbers/dates: 2026年8月31日から9月6日 (August 31 to September 6, 2026), 1795, 1133, 1332, 878, 1420, 22743, 21425, 1701.6, 576, 716.9, 10.1, 66.4, 53.6. All preserved.
* Tone: Neutral and factual.
* No markdown fences. No preamble.
Activity data for female streamers during the week from August 31 to September 6, 2026, reveals clear differences in the trends of sites where streaming is concentrated depending on the day of the week and time of day. Here, we focus on the peaks in the number of simultaneous streamers to analyze the characteristics of each site.
Concentration of Days and Time Slots Indicated by Site-Specific Peaks
The days and time slots when streaming is most active vary significantly by site. Stripchat recorded a peak average number of simultaneous streamers of 1795 in the 17:00 slot on Mondays, centering on weekday evenings. On the other hand, Chaturbate is concentrated in the nighttime, with 1133 in the 20:00 slot on Tuesdays. In contrast, three sites—Camsoda, Cam4, and Bongacams—all peak on Fridays, but their time slots are widely dispersed. It is characteristic that peaks appear at different times from late night to early morning: Camsoda in the 1:00 slot (1332), Cam4 in the 3:00 slot (878), and Bongacams in the 6:00 slot (1420). This shows that even on the same Friday, the peaks in the number of streamers are formed at different time slots for each site.
Balance Between Number of Streamers and Viewers in Site Comparison
In terms of the total number of streamers (uid), which indicates the overall scale of the site, Stripchat has the most at 22743, followed closely by Chaturbate at 21425. Meanwhile, the average number of simultaneous streamers is also outstanding for Stripchat at 1701.6, making it a site where many streams are constantly taking place. However, looking at the average number of viewers per stream, Chaturbate far exceeds the others at 576, indicating a tendency for a higher density of viewers per individual streamer. In contrast, Cam4 has a low average of 10.1 viewers per stream compared to an average of 716.9 simultaneous streamers, showing a marked dispersion of viewers among streamers. Camsoda and Bongacams are at intermediate levels, with average viewer numbers of 66.4 and 53.6, respectively. These figures suggest that the matching structure between streamers and viewers, as well as the nature of the community, may differ by site.
Viewer Trends Inferred from Differences in Time Slots
Even among sites where peaks are concentrated on Fridays, the differences in time slots may reflect the lifestyle rhythms and regionality of the users. The way peaks shift sequentially—Camsoda in the 1:00 late-night slot, Cam4 in the 3:00 early-morning slot, and Bongacams in the 6:00 slot—suggests the possibility that each site primarily targets viewers in different time zones. However, since this data is based solely on the average number of simultaneous streamers for one week, it cannot be concluded that these trends always apply. It is thought that complex factors, such as the activity patterns of the streamers and region-specific promotions by the sites, are influencing this.
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.
