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Semtech Corporation is an American supplier of analog and mixed-signal semiconductors and advanced algorithms for consumer, enterprise computing, communications and industrial end-markets. It is based in Camarillo, Ventura County, Southern California. It was founded in 1960 in Newbury Park, California. It has 32 locations in 15 countries in North…
The analysis highlights Regions, Companies and Products as prominent areas in the source structure around Semtech.
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 Semtech shows recurring relationship patterns in the source. For example, Semtech → Amazon Sidewalk, HDMI, IoT, July, LoRa, LTE, SDI, Semtech's, Semtech's LoRaWAN, Unabiz, Unabiz's Sigfox, Voice Another extracted example is Semtech → CA, Cycleo SAS, Gennum Corporation, In, In December, In March, US, USAR Systems Inc. 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.
lora california semiconductors million products corporation camarillo devices american supplier nasdaq us founded 1960 newbury park traded analog offers wireless
TTTA extracted 39 structured relationships around Semtech. Examples in this analysis include Semtech → Founded → 1960; 66 years ago (1960) in Newbury Park, California and Semtech → Headquarters → Camarillo, California, U.S.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Semtech | Founded | 1960; 66 years ago (1960) in Newbury Park, California | 1.00 | infobox |
| Semtech | Headquarters | Camarillo, California, U.S. | 1.00 | infobox |
| Semtech | Industry | Semiconductors | 1.00 | infobox |
| Semtech | Key people | Dr. Hong Q. Hou(President & CEO) | 1.00 | infobox |
| Semtech | Net income | US$−371.8 million (2024) | 1.00 | infobox |
| Semtech | Number of employees | 1,917 (2024) | 1.00 | infobox |
| Semtech | Operating income | US$−371 million (2024) | 1.00 | infobox |
| Semtech | Products | Semiconductors | 1.00 | infobox |
| Semtech | Revenue | US$869 million (2024) | 1.00 | infobox |
| Semtech | Total assets | US$1.37 billion (2024) | 1.00 | infobox |
| Semtech | Total equity | US$−307 million (2024) | 1.00 | infobox |
| Semtech | Traded as | Nasdaq: SMTC | 1.00 | infobox |
| Semtech | Traded as | S&P 400 component | 1.00 | infobox |
| Semtech | Type | Public | 1.00 | infobox |
| Semtech | Website | semtech.com | 1.00 | infobox |
| Semtech | is a | developer of LoRa | 0.90 | text |
The concept neighborhoods around Semtech bring nearby vocabulary together. In this analysis, examples include Offers, Semiconductors and Lora. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Semtech, one of the stronger structural bridges in this analysis connects Semtech 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 Semtech to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Regions, Companies & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Semtech · EN edition · Analysis: TopicsToTalkAbout