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Keyence Corporation (キーエンス, Kīensu) is a Japan-based direct sales organization that develops and manufactures equipment for factory automation, sensors, measuring instruments, vision systems, barcode readers, laser markers and digital microscopes.
The analysis highlights Culture, Companies, Cultures and Products as prominent areas in the source structure around Keyence.
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 Keyence shows recurring relationship patterns in the source. For example, Keyence → Companies, Develop, FY2022, Japan, Japanese, Keyence Japan, Nihon Keizai Shimbun's, Relics, ROE, The, Top Ten Most Excellent, US Another extracted example is Keyence → Canada, France, Germany, Italy, Japan, Keyence's, Malaysia, Products, Singapore, South Korea, Thailand, These. 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.
products employees company corporation manufacturing sensors microscopes sales automation headquarters japan us vision systems barcode readers laser markers digital fabless
TTTA extracted 52 structured relationships around Keyence. Examples in this analysis include Keyence → Founded → 27 May 1974; 52 years ago (1974-05-27) and Keyence → Headquarters → Osaka, Japan. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Keyence | Founded | 27 May 1974; 52 years ago (1974-05-27) | 1.00 | infobox |
| Keyence | Headquarters | Osaka, Japan | 1.00 | infobox |
| Keyence | Industry | Electronics | 1.00 | infobox |
| Keyence | Key people | Takemitsu Takizaki | 1.00 | infobox |
| Keyence | Key people | (Founder & Honorary Chairman) | 1.00 | infobox |
| Keyence | Key people | Yu Nakata | 1.00 | infobox |
| Keyence | Key people | (President) | 1.00 | infobox |
| Keyence | Native name | 株式会社キーエンス | 1.00 | infobox |
| Keyence | Net income | US$2.667 billion (2025) | 1.00 | infobox |
| Keyence | Number of employees | 8,380 (2020) | 1.00 | infobox |
| Keyence | Operating income | US$3.679 billion (2025) | 1.00 | infobox |
| Keyence | Products | FA sensors, measurement systems, machine vision, barcode readers, laser markers, and digital microscopes | 1.00 | infobox |
| Keyence | Revenue | US$7.088 billion (2025) | 1.00 | infobox |
| Keyence | Traded as | TYO: 6861 | 1.00 | infobox |
| Keyence | Traded as | TOPIX Large 70 Component | 1.00 | infobox |
| Keyence | Traded as | Nikkei 225 component (TYO) | 1.00 | infobox |
| Keyence | Type | Public (K.K) | 1.00 | infobox |
| Keyence | Website | Official website | 1.00 | infobox |
The concept neighborhoods around Keyence bring nearby vocabulary together. In this analysis, examples include Company, Employees and Products. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Keyence, one of the stronger structural bridges in this analysis connects Keyence with Operations. 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 Keyence to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Culture, Companies, Cultures & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Keyence · EN edition · Analysis: TopicsToTalkAbout