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Run your analysis now →Filing growth compares 2021 (219 records) with 2024 (108) — 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 1,935 records in scope (CR5), not by the ranked leaders only.
This landscape covers 1,935 published records matching functional safety terms — process variable monitoring, equipment state detection, failure prediction, control loops and control networks — filed or published between 2015 and the 2026-08-31 cut-off. The scope spans classic process-safety instrumentation alongside a large overlap into vehicle and AI-adjacent control, visible in the presence of B60W (hybrid/joint vehicle control) and G06N (AI-based computing) among the top technology classes.
Because publication lags filing by roughly 18 months, the most recent one to two years in any trend chart will always look thinner than they eventually turn out to be. Read the trend and the composition figures below with that lag in mind, and treat 2024 as the last year with a settled count.
Two views of the same 1,935-record set: how filing volume has moved year over year, and which IPC subclasses carry the claim density.
Filings ran from 119 in 2017 to a peak of 271 in 2018, then declined to 108 by 2024 — a 51% drop from the 219 filed in 2021. 2025 and 2026 counts (14 in 2026 so far) are still filling in under the publication lag and should not be read as a continued fall.
G06F (27.8% of records) and H04L (23.8%) lead, ahead of core control-systems class G05B (17.6%) and vehicle-control class B60W (16.3%). G06Q, G01C and G06N each sit under 10%, marking narrower but still active claim territory. Records can carry multiple classes, so these shares add to more than 100%.
Shares are the percentage of the 1,935 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about functional safety patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaThe device outputs a measured value with a built-in self-diagnosis function: when a specified error is detected, it flags the error, marks the output as temporarily invalid, and switches to a substitute value that triggers a safety-oriented response. Two timers with different expiration windows govern this — one initiates the substitute-value output once its window elapses, the other resets if the error clears first — so brief, transient faults do not force an unnecessary safety intervention while genuine faults still get flagged.Filed by Siemens, published 2019-05-09.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20190258251A1 | Systems and methods for safe and reliable autonomous vehicles | 1,047 |
| 2 | US20200284883A1 | Component for a lidar sensor system, lidar sensor system, lidar sensor device, method for a lidar sensor syst… | 1,018 |
| 3 | US20200259896A1 | Industrial Automation with 5G and Beyond | 750 |
| 4 | US20220126864A1 | Autonomous vehicle system | 680 |
| 5 | US6656114B1 | Method and a system for assisting a user in a medical self treatment, said self treatment comprising a plural… | 622 |
| 6 | US20200389469A1 | System and method for tunnel-based malware detection | 532 |
| 7 | US20050197621A1 | Method and a system for assisting a user in a medical self treatment, said self treatment comprising a plural… | 365 |
| 8 | US20220187847A1 | Robot Fleet Management for Value Chain Networks | 341 |
| 9 | US20230123322A1 | Predictive Model Data Stream Prioritization | 338 |
| 10 | US20220197306A1 | Job Parsing in Robot Fleet Resource Configuration | 327 |
Citation counts favour older filings simply by virtue of having had more time to accumulate them — read this as a signal of influence within the searched corpus, not of current technical importance.
Each row carries its publication number; clicking a row searches Eureka by that number.
When you want the answer in the next five minutes.
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Run your analysis now →When it has to run inside your own pipeline.
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Browse MCP servers →Three patterns stand out once the ranking, the trend and the class composition are read together.
The leader alone holds 304 records against a fifth-place figure of 46 and a tenth-place figure of 30 — a steep drop-off after the top few names. That combination of a dominant leader and a long tail below rank ten means new entrants are competing for space that isn't evenly divided.
Filings peaked at 271 in 2018 and have since settled lower, with the 2021-to-2024 window showing a 51% decline from 219 to 108. That is a real pullback in a field this size, not a lag artefact, since both endpoints are past the 18-month publication window.
G06F (digital data processing) and H04L (digital information transmission) each cover a larger share of records than G05B, the traditional control-and-regulating-systems class at 17.6%. That shift suggests much of the active claim-writing is happening around data handling and communications layers built on top of safety logic, not the control loop itself.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to functional safety patent landscape, with the prior art for and against each one.
The ranked leaders combine established industrial-automation names with vehicle and semiconductor players, reflecting the field's overlap with autonomous-vehicle safety and AI-based control.
The top-ranked assignee's 304 records sit well above the fifth-place figure of 46, giving it a filing footprint several times any single mid-tier competitor in the ranking.
Beyond the top ten, filing counts drop toward single-digit and single-filing entrants, meaning the remaining 90 ranked companies split the other 46.9% of records among themselves.
Multiple top-ranked assignees show sharp latest-year drops or zero latest-year filings, consistent with the broader 2021-to-2024 pullback rather than any single company's retreat.
| Assignee | Recent year | YoY |
|---|---|---|
| Mobileye Vision Technologies Ltd. | 1 | -94% |
| BRIGHT DATA LTD | 1 | -94% |
| Volvo Truck Corporation | 1 | 0% |
| Strong Force VCN Portfolio 2019 LLC | 0 | -100% |
| Intel Corporation | 0 | -100% |
| Bright Data Ltd. | 0 | — |
| Infineon Technologies AG | 0 | — |
| Rockwell Automation Technologies, Inc. | 0 | — |
The dataset points to a field that is consolidating at the top while overall filing volume cools from its 2018 peak — the open questions are about which sub-branches still have room.
Under-claimed branches like failure-prediction models and AI-based equipment-state classification show thinner density than the core control-loop claims, which is where a new filing has the most room to stand on its own.
Explore white space in EurekaLatest-year momentum figures show sharp pullbacks across several top-ranked assignees; watching what they file next indicates whether the 2021-2024 decline continues or reverses once the publication lag catches up.
Monitor assignee activity in EurekaThe ranking of 100 assignees shows a clear leader with 304 records, well ahead of the fifth-ranked company at 46 and the tenth-ranked company at 30. Together the top five hold 43.9% of the 1,935 records in scope, and the top ten hold 53.1%. That means over half the field's patenting activity concentrates in just ten organisations, while the remaining ninety ranked companies split the rest, often with single-digit or single-filing counts.
Filing peaked in 2018 at 271 records and has declined since, with the 2021-to-2024 window showing a 51% drop from 219 to 108 filings. Both those years are past the roughly 18-month publication lag, so the decline is a genuine trend rather than a data artefact. Figures for 2025 and 2026 are still incomplete and should not be read as a continuation of the decline until later filings publish.
G06F (electric digital data processing) and H04L (digital information transmission) are the two largest IPC subclasses, covering 27.8% and 23.8% of the 1,935 records respectively. Core control-and-regulating-systems claims under G05B account for 17.6%, and vehicle-control class B60W for 16.3%. Because a single record can carry multiple IPC classes, these shares add up to more than 100%, and the pattern suggests much of the recent claim-writing sits in data-handling and communications layers rather than in control-loop logic itself.
Sub-areas such as failure-prediction models for field devices, 5G-integrated industrial control networks, and AI-based equipment-state classification show thinner filing density relative to the dominant process-variable and control-loop claim clusters. That does not guarantee those branches are technically easier, but it does mean fewer blocking claims currently sit on them. A freedom-to-operate review of the specific claim language in the ranked leaders' portfolios is still the way to confirm any given branch is genuinely open.
US20190137963A1, filed by Siemens and published 2019-05-09, covers a field device with a self-diagnosis function that flags detected errors, marks its output value as temporarily invalid, and switches to a substitute value using two timers with different expiration windows. The dual-timer design lets the device distinguish a brief transient fault from a persistent one, triggering a safety response only when the fault outlasts the shorter timer. It is a representative record for how process-automation field devices structure safety-oriented fallback behaviour, and its claim scope is a useful reference point when checking overlap in new field-device filings.
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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.