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Abema (Japanese: アベマ; often stylized as all caps), formerly known as AbemaTV, is a Japanese streaming video service owned and operated by AbemaTV, Inc., a joint venture between the internet company CyberAgent and the broadcaster TV Asahi. Launched in April 2016, the platform distinguishes itself from traditional video-on-demand (VOD) services by…
The analysis highlights History and Companies as prominent areas in the source structure around Abema.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Abema shows recurring relationship patterns in the source. For example, Abema → AbemaNews, AI, Anime, Combat Sports, CyberAgent's, CyberFight, DDT Pro-Wrestling, Documentaries, English Premier League, Grand Sumo, It, Its Shogi, Japan, Japanese, Kyō, League, Love You, Mahjong, Major League Baseball, MLB Another extracted example is Abema → Abema's, April, CyberAgent, CyberAgent's, DAZN, Despite, Formula One, French Open, Fujita's, In April, In February, IP, JLPGA, June, La Liga, League, Ligue, NBA, Nitroplus, Serie. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
abematv cyberagent sports platform content live tv streaming million channels japan free major 2024 april league company broadcasting 2019 2022
TTTA extracted 216 structured relationships around Abema. Examples in this analysis include Abema → Area served → Japan and Abema → Available in → Japanese English. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Abema | Area served | Japan | 1.00 | infobox |
| Abema | Available in | Japanese English | 1.00 | infobox |
| Abema | Current status | Active | 1.00 | infobox |
| Abema | Founded | April 1, 2015; 11 years ago (2015-04-01) | 1.00 | infobox |
| Abema | Headquarters | Abema Towers, 40-1 Udagawachō, Shibuya, Tokyo, Japan | 1.00 | infobox |
| Abema | Key people | Susumu Fujita (president, and Representative Director of CyberAgent) | 1.00 | infobox |
| Abema | Key people | Hiroshi Hayakawa (chairman, and chairman, CEO, president, and COO of TV Asahi) | 1.00 | infobox |
| Abema | Launched | March 1, 2016 (2016-03-01) (Early access) April 11, 2016 (2016-04-11) (Full launch) | 1.00 | infobox |
| Abema | Net income | ¥30.81 billion (2024) | 1.00 | infobox |
| Abema | Operating income | ¥24.80 billion (2024) | 1.00 | infobox |
| Abema | Owner | CyberAgent (55.2%) | 1.00 | infobox |
| Abema | Owner | TV Asahi (36.8%) | 1.00 | infobox |
| Abema | Products | Streaming media | 1.00 | infobox |
| Abema | Products | Video on demand | 1.00 | infobox |
| Abema | Products | Television on demand | 1.00 | infobox |
| Abema | Registration | Optional | 1.00 | infobox |
| Abema | Revenue | ¥13.56 billion (2024) | 1.00 | infobox |
| Abema | Services | Television production | 1.00 | infobox |
| Abema | Services | Digital distribution | 1.00 | infobox |
| Abema | Type of site | OTT platform | 1.00 | infobox |
| Abema | URL | abema.tv | 1.00 | infobox |
| Abema | Users | 6.52 million per month (as of February 2023[update]) | 1.00 | infobox |
The concept neighborhoods around Abema bring nearby vocabulary together. In this analysis, examples include Live, Streaming and Sports. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Abema, one of the stronger structural bridges in this analysis connects Abema with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Abema to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Abema · EN edition · Analysis: TopicsToTalkAbout