Soft-Sensor Bioprocessing Patents: Who Leads, Where the Gaps Are 2026
Soft-Sensor Bioprocessing Variable Selection Patents: Filing Trends and Who Holds the Claims
68.7% concentration. The top five assignees together hold 365 of 531 records in scope (68.7%), with one filer alone accounting for 274 — this field is not a level playing field for a new entrant. Filings climbed to a peak of 120 in 2019, then settled into a steadier band; the 2021-to-2024 comparison (46 to 48, +4%) is the most reliable recent read since 2025-26 counts are still being filled in by publication lag.
- 1STRONG FORCE IOT PORTFOLIO 2016 LLC274
- 2STRONG FORCE TX PORTFOLIO 2018 LLC43
- 3ISTARI DIGITAL INC19
- 4TATA CONSULTANCY SERVICES LTD15
- 5FISHER ROSEMOUNT SYST INC14
See the full soft-sensor bioprocessing variable selection analysis in Eureka
- The complete ranking, not just the top five
- Every IPC branch with its share of the corpus
- The most-cited records, and where claim space is still thin
Common questions about this landscape
How concentrated is patent ownership in soft-sensor bioprocessing variable selection?
It is fairly concentrated: the top five assignees together hold 68.7% of the 531 records in scope, and the single largest filer accounts for 274 of those records alone. The top ten combined reach 78.0% of all records. That leaves a long tail of smaller filers holding the remaining share, so a newcomer’s freedom to operate depends heavily on clearing the largest holders first.
Is patent filing in this field growing or slowing down?
Filings grew from 46 in 2021 to 48 in 2024, a modest +4% increase over that span, and the field peaked at 120 filings in 2019. Numbers for 2025 and 2026 appear lower, but that is expected: patent publication typically lags filing by around 18 months, so those years are still filling in rather than showing an actual slowdown.
What technology areas overlap most with soft-sensor variable selection?
Control and regulating systems (IPC class G05B) and AI-based computing (G06N) are the two largest classes, covering 78.9% and 76.8% of the 531 records respectively. Digital transmission classes (H04L, H04B) also cover roughly half the dataset, reflecting how much of the claimed art concerns getting sensor data reliably to a model before any variable is selected. Because records can carry multiple IPC classes, these shares overlap and add to more than 100%.
Disclaimer. This analysis is based on Patsnap Eureka data drawn from a limited snapshot of global patent records and is provided for general information and reference only. Patent data carries inherent limitations — recent filings are under-counted because of publication lag, counts may be on a record or family basis, classification and applicant-name data may contain errors or duplicates, and the underlying search query defines the scope shown — so the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing here is an exhaustive prior-art, novelty, freedom-to-operate or validity search, nor does it constitute legal, financial or professional advice, and it should not be relied upon as such. Verify independently and review with qualified patent and legal professionals before acting on it.
Method: Filing trend and technology composition. Derived from a Patsnap search on Soft-Sensor Bioprocessing Variable Selection covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish. Every share divides by all records in scope. Data: Patsnap Eureka. See the full landscape report.