FinFET TCAD Simulation Patent Snapshot 2026
The FinFET TCAD simulation patent space is tightly concentrated, with Bell Semiconductor LLC and STMicroelectronics together accounting for the majority of the top filers’ output, anchored primarily in semiconductor device IPC classes. Annual filing volume has eased back from its 2019 peak, signalling a field in decline where foundational positions are already well defended.
Bell Semiconductor and STMicroelectronics dominate a highly concentrated field
Bell Semiconductor LLC leads the applicant ranking with 15 patent records, followed immediately by STMicroelectronics Inc with 14 patent records — the two together nearly equal the combined output of all remaining ranked filers.
The top five filers account for 60% of the ranked applicants visible in this query’ combined total, a high concentration figure for such a specialised simulation niche; the tier gap between rank two and rank three (IBM and TSMC, each with 4 patent records) is steep, indicating two clearly visible players and a fragmented trailing group.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Bell Semiconductor LLC | 15 | |
| 2 | STMicroelectronics Inc | 14 | |
| 3 | IBM (International Business Machines Corporation) | 4 | |
| 4 | Taiwan Semiconductor Manufacturing Co Ltd | 4 | |
| 5 | South China University of Technology | 3 | |
| 6 | GlobalFoundries US Inc | 2 | |
| 7 | Ecole Polytechnique Federale de Lausanne (EPFL) | 2 | |
| 8 | STMicroelectronics (US) | 2 | |
| 9 | Intermolecular Inc | 2 | |
| 10 | HINDUSTHAN COLLEGE OF ENG & TECH | 1 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | STMicroelectronics (Crolles 2) SAS | 1 | |
| 12 | Vishvakeerthi C | 1 | |
| 13 | Karpagam College of Engineering | 1 | |
| 14 | Ahmed Shibly S | 1 | |
| 15 | Nantong University | 1 | |
| 16 | Indian Institute of Technology (BHU) Varanasi | 1 | |
| 17 | Advanced Micro Devices Inc | 1 | |
| 18 | Xidian University | 1 | |
| 19 | Dr S Ashok Kumar | 1 | |
| 20 | Anbarasu K | 1 |
The dominance of Bell Semiconductor and STMicroelectronics implies that any new entrant must either carve out technically distinct simulation approaches or target sub-domains — such as AI-assisted modelling or biosensor-oriented TCAD — that the leaders have not prioritised.
Filing counts for the most recent 18–24 months are subject to publication lag and will rise as pending applications are published; current late-period totals should be treated as floor estimates rather than final counts.
Filing volume peaked in 2019–2021 and has since eased; H01L dominates the technology mix
The annual filing trend and technology composition charts together reveal a field that established its core IP foundations between 2019 and 2021 and is now consolidating, with semiconductor device classes absorbing the overwhelming share of activity.
Annual filing trend
Annual filings climbed from 2 in 2017 to a plateau of 4 per year from 2019 through 2021, then eased to 3 in 2022–2024 and 2 in 2025; 2026 shows 0, reflecting publication lag rather than a true halt. The trajectory confirms a past-peak field — the multi-year window is down 25% — and new foundational filings are unlikely to reshape the competitive order.
↗ Hover for values · click a bar to ask EurekaTechnology composition
H01L (Semiconductor devices) accounts for the large majority of patent records, confirming that FinFET TCAD work is filed primarily under device-physics classifications. G06F (Electric digital data processing) is the next most present branch, reflecting simulation software aspects, while G01N (Material analysis and testing), H10D, G06N, and G11C each hold minimal shares, marking them as sparse adjacent branches.
↗ Hover for values · click a bar to ask EurekaHighly cited patent families surfaced by the query
Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.
一种基于自热效应的FinFET器件建模仿真优化方法和系统
本发明公开了一种基于自热效应的FinFET器件建模仿真优化方法和系统，该方法包括：基于通用数据，运用仿真软件建立FinFET器件模型并进行电仿真，获取电特性参数；通过对FinFET器件模型进行热仿真，获得热参数；根据所述热参数修改仿真的环境温度，在FinFET器件受自热影响的环境下修正FinFET器件模型的电特性参数；最后建立基于自热效应的FinFET器件模型。本发明提供的一种基于自热效应的FinFET器件建模仿真优化方法和系统，与不考虑自热效应的传统建模相比较，能够降低器件仿真的误差、提高建模的精准性、提高可靠性分析的准确性。 (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Accumulation type finfet, circuits and fabrication… | 150 |
| 2 | Defect-free strain relaxed buffer layer | 100 |
| 3 | Accumulation type FinFET, circuits and fabrication… | 80 |
| 4 | Method to induce strain in finfet channels from an… | 58 |
| 5 | Method to induce strain in 3-d microfabricated str… | 36 |
| 6 | Method to fabricate finfet sensors, in particular,… | 29 |
| 7 | Accumulation type finfet, circuits and fabrication… | 25 |
| 8 | Counter-doped low-power finfet | 22 |
Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.
Assignee snapshot from the current evidence set
The applicants below are visible in this query result. Because the evidence set is relatively small, read this section as a directional snapshot rather than a full competitive ranking.
Bell Semiconductor LLC
Bell Semiconductor LLC holds 15 patent records, the highest in the ranking. Its technology focus sits across H01L 27 and H01L 29 (both with 4 records each), covering integrated and discrete semiconductor device simulation. Momentum data classifies the entity as a new entrant on a recent-filing basis, suggesting its position was built through a concentrated burst rather than a long filing history — worth monitoring to see whether activity continues or plateaus.
patent records: 15STMicroelectronics Inc
STMicroelectronics Inc holds 14 patent records and shows the broadest technology footprint among all filers, with H01L 29 (27 sub-record hits), H01L 27 (12), and H01L 21 (6) all represented. It is also the hub of the collaboration network, co-filing with GlobalFoundries, IBM, and its own Crolles 2 entity. Momentum data also classifies it as a new entrant in the recent window, indicating recent filing activity despite its established position.
patent records: 14Frequently asked questions
The analysed corpus contains 27 patent families in scope. This is a small, specialised corpus, reflecting a niche intersection between FinFET device physics and TCAD process simulation tools.
Bell Semiconductor LLC leads with 15 patent records, narrowly ahead of STMicroelectronics Inc with 14 patent records. Both are classified as new entrants on a recent-filing basis, suggesting concentrated activity in a defined period.
No. The lifecycle evidence places the field in Decline. Annual filings peaked at 4 per year during 2019–2021 and have eased since. The recent-window growth figure is minus 25%. The most recent year shown (2026) shows 0, but that reflects publication lag rather than a complete stop.
The United States leads with 41 patent records, well ahead of China (5), India (3), and WIPO PCT (3). Europe via the EPO and Singapore each hold 1 record. Most filers have not pursued broad multi-jurisdiction prosecution.
Yes. STMicroelectronics Inc is the most active co-filer, with joint records alongside GlobalFoundries (2), IBM (2), and STMicroelectronics (Crolles 2) SAS (1). IBM and GlobalFoundries also share 2 joint records. A separate academic-industry collaboration exists between Quan Li Microelectronics (Wuxi) and Dalian University of Technology.
The sparsest branches are G06N (AI-based computing models, 1 patent record) and G11C (static and digital memories, 1 patent record). Both are plausible technical extensions of FinFET TCAD work — AI surrogate modelling and SRAM-specific variability simulation respectively — and carry minimal incumbent overlap based on current evidence.
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Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
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