Aircraft Health Monitoring Patents: Who Leads, Where the Gaps Are 2026
Filing growth compares 2021 (1,432 records) with 2024 (980) — 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 67,654 records in scope (CR5), not by the ranked leaders only.
What the aircraft health monitoring patent record shows
Aircraft health monitoring spans sensor networks, in-flight diagnostics, ground-based fleet management and the data-processing layers that turn raw airframe signals into maintenance decisions. The search scope behind this page returns 67,654 published records filed or published between 2015 and mid-2026, drawn from receiving offices led by the United States, the European Patent Office and the WIPO PCT route. That spread reflects a technology prosecuted wherever large fleets are operated and maintained, not just where aircraft are built.
The filing curve peaked in 2019 and has since eased, though the most recent years are still filling in as publications lag filing by roughly 18 months. Concentration at the top of the assignee ranking is real but not extreme: the leading five companies account for a meaningful slice of the field, leaving a long tail of single- and low-filing entrants across airframe OEMs, avionics suppliers, engine makers and software and connectivity vendors.
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Filing trends and technology composition
Two views of the same 67,654-record dataset: how filings have moved year over year, and which IPC subclasses carry the claim density.
A 2019 peak followed by a cooling filing curve
Published filings rose to 1,498 in 2019 before easing; the clearest complete-year comparison, 1,432 in 2021 down to 980 in 2024, is a 32% decline. 2025 and 2026 figures are undercounted because publication lags filing by roughly 18 months, so treat the tail of the curve as provisional rather than a sign the field is shrinking.
No single technical branch dominates
B64D (aircraft equipment) leads at 5.4% of all 67,654 records, followed by G06F (digital data processing) at 4.2% and B64C (aeroplanes and helicopters) at 3.3%. Because records can carry multiple IPC classes, these shares add up to more than 100% — the takeaway is that claim activity is distributed across airframe hardware, data processing, testing and control-systems classes rather than concentrated in one.
Shares are the percentage of the 67,654 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Avionics & Flight Control: Aircraft Health Monitoring Patent Landscape with Eureka
This page is one run against one query. Ask Eureka your own question about avionics & flight control: aircraft health monitoring patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaA recent filing that shows where the claim language is heading
Smart IoT controller for gathering and transmitting aircraft health information during flight
The system centres on an in-flight controller that, once it determines the aircraft is airborne, accesses an onboard sensor network to generate in-flight system health information and transmits it wirelessly to a ground-based monitoring system, which can then trigger an aircraft management operation.Filed by Hamilton Sundstrand Corporation, published 2025-08-07 as US20250250025A1.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20120069131A1 | Reality alternate | 2,111 |
| 2 | US6437692B1 | System and method for monitoring and controlling remote devices | 2,093 |
| 3 | US20100250497A1 | Electromagnetic pulse (EMP) hardened information infrastructure with extractor, cloud dispersal, secure stora… | 1,776 |
| 4 | US20140032034A1 | Transportation using network of unmanned aerial vehicles | 1,753 |
| 5 | US20130201316A1 | System and method for server based control | 1,727 |
| 6 | US20040143297A1 | Advanced automatic external defibrillator powered by alternative and optionally multiple electrical power sou… | 1,510 |
| 7 | US6553336B1 | Smart remote monitoring system and method | 1,493 |
| 8 | US7020701B1 | Method for collecting and processing data using internetworked wireless integrated network sensors (WINS) | 1,457 |
| 9 | US6735630B1 | Method for collecting data using compact internetworked wireless integrated network sensors (WINS) | 1,420 |
| 10 | US20040198386A1 | Applications for a wireless location gateway | 1,332 |
Citation counts favour older records simply because they have had more time to accumulate citations within the searched corpus; read them as a signal of influence, not of current importance.
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Browse MCP servers →What the data means for filing strategy
Three findings that should shape where a new filing or freedom-to-operate search starts.
Leadership is real but not a lock
The top 5 assignees combined hold 11,295 records, 16.7% of the 67,654 in scope, and the top 10 add up to 22.8%. That leaves the large majority of the field to a long tail of single- and low-count filers, which is where most freedom-to-operate work will actually need to happen.
The post-peak cooldown is measured, not collapsed
Filings fell from 1,432 in 2021 to 980 in 2024, a 32% decline over the only span that can currently be read as complete. The 2019 peak of 1,498 suggests the field front-loaded a wave of foundational filings that later entrants are now working around rather than repeating.
Claim density is spread, not stacked
The leading IPC subclass, B64D, covers only 5.4% of all 67,654 records, and the next several classes sit close behind it. That spread across aircraft equipment, data processing, testing and control systems means a new filing has room to differentiate by combining classes rather than fighting for space inside one.
Co-filing is limited and inventor-anchored
Only 10 co-assignee pairs appear in the dataset, and the strongest links pair a single corporate assignee with named individual inventors rather than with other companies. Formal cross-company co-filing is the exception here, not the norm.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to avionics & flight control: aircraft health monitoring patent landscape, with the prior art for and against each one.
Where to take this analysis
The dataset points to specific next moves depending on whether the goal is filing, freedom-to-operate or monitoring a competitor.
Check freedom-to-operate against the long tail
With the top 10 assignees holding only 22.8% of all records, most claim risk sits in the long tail rather than with the named leaders. A freedom-to-operate search should not stop at the ranked leaders.
Run a freedom-to-operate search in EurekaTrack leader momentum before it shows up in trend charts
Recent-year filing counts for the top assignees are still filling in, so a drop in the raw trend line is not yet conclusive. Set up ongoing monitoring rather than relying on a single snapshot.
Set up assignee monitoring in EurekaDraft around the thin IPC branches
With no IPC subclass exceeding 5.4% of records, there is room to combine classes in a new filing rather than compete directly inside the densest one. Use the composition breakdown to scope claim language before drafting.
Explore IPC white space in EurekaCommon questions about the aircraft health monitoring patent landscape
One assignee leads the ranked field with 3,183 records, well ahead of the fifth-placed company at 1,306 and the tenth at 680. The top 5 assignees combined account for 11,295 records, 16.7% of the 67,654 records in scope, and the top 10 add up to 22.8%. That leaves the large majority of filings spread across a long tail of companies each holding a smaller share, so no single company controls the field outright.
Filings peaked at 1,498 in 2019 and have since eased, with the only currently complete year-over-year comparison showing a 32% decline from 1,432 in 2021 to 980 in 2024. Figures for 2025 and 2026 are still incomplete because patent publication typically lags filing by roughly 18 months, so the most recent years should not be read as proof the field is contracting. The honest read is a post-peak cooldown from a front-loaded filing wave, not a collapse.
B64D (aircraft equipment) leads at 5.4% of all 67,654 records, followed by G06F (electric digital data processing) at 4.2% and B64C (aeroplanes and helicopters) at 3.3%. Testing and measurement (G01M), digital transmission (H04L) and control systems (G05B) each sit in the 2.4-2.5% range. Because a single record can carry multiple IPC classes, these figures do not sum to 100%, and the practical takeaway is that claim density is spread across several classes rather than concentrated in one.
The clearest opportunities sit in branches with visibly lower filing density than the core aircraft-equipment and data-processing classes, such as predictive engine-wear analytics, wireless in-flight sensor mesh protocols and cross-fleet anomaly correlation. These areas sit adjacent to dense claim territory but have not accumulated the same volume of prior art. Any filing strategy here should still be checked against the long tail of the assignee ranking, since low visible concentration does not mean zero prior art.
US20250250025A1, filed by Hamilton Sundstrand Corporation and published in August 2025, claims an in-flight controller that detects when an aircraft is airborne, pulls in-flight system health data from an onboard sensor network, and transmits it wirelessly to a ground-based monitoring system that can then trigger a maintenance or management action. It illustrates where current claim language is heading: real-time, wireless, ground-linked diagnostics rather than purely onboard recording. It is one data point among 67,654 records, not the boundary of the field.
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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.