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Avast Software s.r.o. is a subsidiary of Gen Digital. It is a Czech multinational cybersecurity software company headquartered in Prague, Czech Republic, that researches and develops computer security software, machine learning, and artificial intelligence. Avast had more than 435 million monthly active users and the second largest market share among…
The analysis highlights History, Applications, Products and Art as prominent areas in the source structure around Avast.
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 Avast shows recurring relationship patterns in the source. For example, Avast → Afterwards, Alwil Software, At, Communist Party, Czechoslovakia, Eduard Kučera, However, In, IT, Mathematical Machines, McAfee, Ondřej Vlček, Pavel Baudiš, Research Institute, Soviet Union, The, They, Vienna, Virus Bulletin, Windows Another extracted example is Avast → Avast Antivirus, AVG, AVG AntiVirus Free, Every, Firefox, Google Chrome, In, In January, January, Jumpshot, Motherboard, On, Opera, PCMag, The. 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.
software antivirus company security avg users data features product gen digital mobile july million 2021 products acquired 2020 alwil nortonlifelock
TTTA extracted 94 structured relationships around Avast. Examples in this analysis include Avast → Area served → Worldwide and Avast → Formerly → Alwil Software. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Avast | Area served | Worldwide | 1.00 | infobox |
| Avast | Formerly | Alwil Software | 1.00 | infobox |
| Avast | Founded | 1988; 38 years ago (1988) | 1.00 | infobox |
| Avast | Founders | Pavel Baudiš | 1.00 | infobox |
| Avast | Founders | Eduard Kučera | 1.00 | infobox |
| Avast | Headquarters | Prague, Czech Republic | 1.00 | infobox |
| Avast | Industry | Computer software | 1.00 | infobox |
| Avast | Key people | John G. Schwarz (Chairperson) | 1.00 | infobox |
| Avast | Key people | Ondřej Vlček (CEO) | 1.00 | infobox |
| Avast | Net income | US$169.6 million (2020) | 1.00 | infobox |
| Avast | Number of employees | (2025) | 1.00 | infobox |
| Avast | Operating income | US$335.4 million (2020) | 1.00 | infobox |
| Avast | Parent | Gen Digital | 1.00 | infobox |
| Avast | Products | Cybersecurity software | 1.00 | infobox |
| Avast | Revenue | US$892.9 million (2020) | 1.00 | infobox |
| Avast | Services | Computer security | 1.00 | infobox |
| Avast | Subsidiaries | AVG Technologies | 1.00 | infobox |
| Avast | Subsidiaries | Piriform Software | 1.00 | infobox |
| Avast | Subsidiaries | HMA | 1.00 | infobox |
| Avast | Total assets | US$2.707 billion (2020) | 1.00 | infobox |
| Avast | Total equity | US$1.195 billion (2020) | 1.00 | infobox |
| Avast | Traded as | LSE: AVST (until 2022) | 1.00 | infobox |
| Avast | Traded as | PSE: AVST (until 2022) | 1.00 | infobox |
| Avast | Type | Subsidiary | 1.00 | infobox |
| Avast | Website | www.avast.com | 1.00 | infobox |
The concept neighborhoods around Avast bring nearby vocabulary together. In this analysis, examples include Software, Antivirus and Data. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Avast, one of the stronger structural bridges in this analysis connects Avast with Overview. 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 Avast to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications, Products & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Avast · EN edition · Analysis: TopicsToTalkAbout