Soft-Sensor Bioprocessing Fault Detection Patents: Top Filers 2026
- 78.1% concentration. The top five assignees hold 343 of 439 records in scope — a field with a dominant core rather than an even spread of filers.
- Filing has cooled from its 2019 peak. After 131 records in the peak year, tracked activity moved from 36 in 2021 to 17 in 2024, a -53% shift over that span; more recent years are still filling in as publications lag filing.
- AI-based computing dominates the claim language. G06N appears on 86.6% of the 439 records, ahead of classic G05B control-system claims at 78.4% — a sign that fault-detection logic is increasingly framed as a model, not a control loop.
Filing growth compares 2021 (36 records) with 2024 (17) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 439 records in scope (CR5), not by the ranked leaders only.
What this landscape covers
This dataset tracks patent filings at the intersection of soft, virtual and inferential sensors and fault detection methods — anomaly scoring, sensor-failure diagnosis, process-deviation alarms and fault isolation — filtered to records classified under industrial control (G05B13/04), bioprocess measurement (C12Q3/00) and machine-learning (G06N20/00) IPC codes. The scope spans 439 published records from 2015 through the 2026 data cut-off, giving a working view of how model-based sensing and monitoring claims are being written across process industries that include, but are not limited to, bioprocessing.
Because publication lags filing by roughly 18 months, the most recent one to two years in any trend understate real filing activity; 2024 is the most recent year that can be read as a complete picture.
Filing trend and technology composition
Two views of the same 439 records: how filing activity has moved year over year, and which IPC subclasses the claims actually sit in.
Filing trend: a 2019 peak, then a pull-back
Filings rose to a peak of 131 records in 2019, then activity through the tracked complete years fell from 36 records in 2021 to 17 in 2024, a -53% move. Years after 2024 are still incomplete in the record and should not be read as a continued decline.
Technology composition across IPC subclasses
G06N (AI-based computing) appears on 86.6% of the 439 records and G05B (control and regulating systems) on 78.4%, with H04L data-transmission classes present on 69.9% — records commonly carry more than one class, so these shares sum past 100% and should be read individually, not combined.
Shares are the percentage of the 439 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Soft-Sensor Bioprocessing Fault Detection with Eureka
This page is one run against one query. Ask Eureka your own question about soft-sensor bioprocessing fault detection and every answer comes back with the patent numbers behind it.
Try EurekaThe most-cited records in this space
Data collection systems and methods with alternate routing of input channels
Describes an industrial monitoring system with a data acquisition circuit that interprets detection values across multiple input channels, drawing sensor data over a first route, storing sensor specifications and anticipated-state information including an alarm threshold level, and setting an alarm state when that threshold is exceeded on a channel.US20190324431A1, filed by Strong Force IoT Portfolio 2016, LLC, published 2019-10-24.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20190339688A1 | Methods and systems for data collection, learning, and streaming of machine signals for analytics and mainten… | 973 |
| 2 | US20200348662A1 | Platform for facilitating development of intelligence in an industrial internet of things system | 732 |
| 3 | US20210157312A1 | Intelligent vibration digital twin systems and methods for industrial environments | 715 |
| 4 | US20200225655A1 | Methods, systems, kits and apparatuses for monitoring and managing industrial settings in an industrial inter… | 563 |
| 5 | US20200103894A1 | Methods and systems for data collection, learning, and streaming of machine signals for computerized maintena… | 513 |
| 6 | US20190171187A1 | Methods and systems for the industrial internet of things | 457 |
| 7 | US20190137988A1 | Methods and systems for detection in an industrial internet of things data collection environment with a self… | 277 |
| 8 | US20200133257A1 | Methods and systems for detecting operating conditions of an industrial machine using the industrial internet… | 271 |
| 9 | US20190324431A1 | Data collection systems and methods with alternate routing of input channels | 267 |
| 10 | US6882929B2 | NOx emission-control system using a virtual sensor | 229 |
Citation counts are drawn from within this searched corpus and favour older filings; treat them as an influence signal, not a measure of current relevance.
Each row carries its publication number; clicking a row searches Eureka by that number.
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Browse MCP servers →What the data means for filing strategy
Three read-throughs from the concentration, trend and classification figures above.
A dominant core, then a long tail
The leading assignee alone accounts for the bulk of the top-five share, with fifth place at just 7 records and tenth place at 4. New entrants are filing into a field where a handful of industrial-IoT platform holders already occupy the broadest claim territory.
Activity has receded from its 2019 peak
The 131-record peak year in 2019 was not sustained; complete-year data shows a fall to 17 records by 2024. Whether this reflects consolidation of prior art into fewer, broader continuations or genuine cooling in new inventive activity is not resolvable from filing counts alone.
AI-model claims now outpace classical control claims
G06N (AI-based computing) sits ahead of G05B (control and regulating systems) as a share of records, suggesting that fault-detection inventions are increasingly claimed as learned models layered on top of, rather than instead of, conventional control-system architecture.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to soft-sensor bioprocessing fault detection, with the prior art for and against each one.
The competitive set
A ranked list of 62 companies sits behind this landscape; the field is led by an industrial-IoT portfolio holder well ahead of the rest, with industrial equipment, controls and enterprise-software firms filling out the ranked leaders below it.
One filer dominates the ranked list
The top assignee's record count dwarfs the rest of the ranking; combined with the next four, the top five reach 343 of 439 records, or 78.1% of everything in scope.
A sharp drop after the leader
Fifth place holds 7 records and tenth place just 4 — concentration falls away quickly outside the top few names, leaving process-control, enterprise-software and industrial-equipment firms competing for a much smaller share each.
Even active filers are pulling back
Recent-year momentum data shows several leading assignees at zero filings in the latest tracked year, and one of the more active recent filers down 33% year over year — consistent with the broader cooling seen in the trend data, though skewed by publication lag.
| Assignee | Recent year | YoY |
|---|---|---|
| STRONG FORCE TX PORTFOLIO 2018 LLC | 2 | -33% |
| Strong Force IoT Portfolio 2016, LLC | 0 | -100% |
| General Electric Co | 0 | — |
| Tata Consultancy Services Ltd | 0 | — |
| Siemens Energy AS | 0 | — |
| Siemens AG | 0 | — |
| Hitachi Vantara LLC | 0 | — |
| Fisher Rosemount Systems, Inc. | 0 | — |
Where to take this analysis
The figures above describe the field as filed; turning them into a filing or freedom-to-operate decision means going deeper on specific claims and specific gaps.
Map the white space against your own claim drafts
Under-claimed sub-areas such as bioprocess-specific calibration drift correction sit next to dense prior art in AI-based fault scoring; a claim drawn narrowly around the bioprocess-specific mechanism may clear more prior art than one drawn around the general soft-sensor concept.
Explore white space in Eureka →Watch the leading assignee's continuation strategy
A single assignee holding 274 of 439 records is likely filing continuations and divisionals against its core architecture; tracking those filings closely matters more than tracking the long tail.
Track assignee filings in Eureka →Re-run this scope once 2025-26 data lags catch up
The apparent post-2019 cooling is partly a publication-lag artefact; revisiting the trend once 2025 and 2026 filings finish publishing will clarify whether the -53% move from 2021 to 2024 continued or reversed.
Set a monitoring alert in Eureka →Common questions on this landscape
One assignee holds 274 of the 439 records in scope, far ahead of the rest of the 62-company ranked list; the top five combined reach 343 records, or 78.1% of everything tracked. Fifth place holds only 7 records and tenth place 4, so concentration drops sharply after the leader. This pattern is typical of fields anchored by a broad industrial-IoT or industrial-control platform holder rather than evenly split among specialist bioprocessing firms.
Filing peaked in 2019 at 131 records, and the most recent complete years show a fall from 36 records in 2021 to 17 in 2024, a -53% change. Because publication lags filing by roughly 18 months, the 2025 and 2026 counts in the dataset are still incomplete and should not be read as confirming a continued decline. The honest read is that activity has cooled from its 2019 peak through 2024, with the more recent trajectory still unresolved.
G06N (AI-based computing) appears on 86.6% of the 439 records, ahead of G05B (control and regulating systems) at 78.4%. Since a single record can carry both classes, this does not mean AI methods have replaced control-system claims; it means fault-detection inventions in this corpus are more often framed around a learned or statistical model than around classical control-loop logic alone. Drafters working in this space should expect both classes to co-occur in prior art rather than treating them as separate claim territories.
Sub-areas such as bioprocess-specific calibration drift correction, multi-rate sensor fusion for fault isolation, and alarm-threshold adaptation under process variability show comparatively thin filing density relative to the dominant AI-model and control-system claim territory. These are not empty categories, but they sit outside the core claims held by the leading assignees. A first claim in one of these areas would need to tie the mechanism specifically to the bioprocess or sensor-fusion context rather than restating the general soft-sensor or fault-detection concept.
With the top five assignees holding 78.1% of the 439 records and the top ten holding 84.7%, this field is more concentrated than areas with an even spread of filers. The concentration is driven largely by one dominant industrial-IoT platform assignee at 274 records; excluding that single filer, the remaining ranked list thins out quickly. New entrants should expect to be filing around, rather than alongside, a small number of very broad existing claim families.
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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
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.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.