Aircraft Health Monitoring Patents: Top Companies & Trends 2026
- 65.1% concentration. The top 5 of 47 ranked assignees hold 185 of 284 records in scope — the leader alone accounts for 64.
- Filing rebounded sharply post-2021. From 1 filing in 2021 to 7 in 2024, a +600% swing after a multi-year lull following the 2020 peak of 18.
- Digital processing outweighs the airframe itself. G06F data-processing claims (34.9% of records) appear more often than B64D aircraft-equipment claims (27.1%).
Filing growth compares 2021 (1 records) with 2024 (7) — 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 284 records in scope (CR5), not by the ranked leaders only.
What this landscape covers
This landscape tracks patent filings at the intersection of aircraft condition monitoring, central maintenance computers and airborne data loaders — the systems that capture flight and fault data onboard and move it off the aircraft, whether over ACARS downlink, wireless data transfer, or a physical data loader at the gate. The scope pulls in fault code correlation, flight data acquisition, software part number management and trend monitoring as the functional layer sitting on top of that hardware.
Coverage runs from 2015 through the 2026-07-31 cut-off, with 284 published records forming the base for every figure on this page. Because publication trails filing by roughly 18 months, the last one to two years of the trend line will fill in further as more applications publish — treat the most recent years as a floor, not a ceiling.
Filing trend and technology composition
Two views of the same 284 records: how filing activity moved year over year, and which IPC subclasses carry the claim density.
A 2020 peak, a lull, then a sharp rebound
Filings ran from 4 in 2017 to a peak of 18 in 2020, dropped as low as 1 in 2021, then climbed to 7 by 2024 — a +600% move over that span. 2025 and 2026 figures are still incomplete due to publication lag and should not be read as a slowdown.
Data processing and transmission classes dominate
G06F (electric digital data processing) touches 34.9% of the 284 records, ahead of H04B transmission (27.8%), B64D aircraft equipment (27.1%), G07C checking devices (25.7%) and H04L digital transmission (25.4%). Because records carry multiple IPC codes, these shares sum to well over 100% and should each be read against the 284-record total, not against one another as a closed pie.
Shares are the percentage of the 284 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Aircraft Health Monitoring and Data Loading with Eureka
This page is one run against one query. Ask Eureka your own question about aircraft health monitoring and data loading and every answer comes back with the patent numbers behind it.
Try EurekaThe filings shaping this space
PCMCIA card for remotely communicating and interfacing with aircraft condition monitoring systems (US7103456B2)
A method and corresponding system use a Personal Computer Memory Card International Association (PCMCIA) card to remotely communicate and interface with flight performance data on an aircraft. The card plugs into an Aircraft Condition Monitoring System via a card interface, and works with any flight data acquisition unit equipped with a storage card. It offers real-time wireless communication between the ACMS and a ground station without hardware or software modification to the ACMS.Filed by Safran Electronics & Defense, Avionics USA — published 2006-09-05.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20030093187A1 | PFN/TRAC systemTM FAA upgrades for accountable remote and robotics control to stop the unauthorized use of ai… | 977 |
| 2 | US20050187677A1 | PFN/TRAC systemTM FAA upgrades for accountable remote and robotics control to stop the unauthorized use of ai… | 595 |
| 3 | US6965816B2 | PFN/TRAC system FAA upgrades for accountable remote and robotics control to stop the unauthorized use of airc… | 489 |
| 4 | US20030003872A1 | Methods and apparatus for wireless upload and download of aircraft data | 267 |
| 5 | US20070027589A1 | Methods and apparatus for wirelss upload and download of aircraft data | 159 |
| 6 | US20020111720A1 | Method and apparatus to support remote and automatically initiated data loading and data acquisition of airbo… | 151 |
| 7 | US20030055975A1 | Aircraft data services | 137 |
| 8 | US7020708B2 | Aircraft data services | 134 |
| 9 | US6671589B2 | Method and apparatus to support remote and automatically initiated data loading and data acquisition of airbo… | 127 |
| 10 | US6721640B2 | Event based aircraft image and data recording system | 127 |
Citation counts favour older filings inside any searched corpus — read them as a signal of influence on later filers, not as a measure of current relevance.
Each row carries its publication number; clicking a row searches Eureka by that number.
Put your own technology through the same analysis
Eureka on the web
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →MCP server & REST API
When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →What the concentration and citation data tell you
Three ways to read the same set of records: who holds the claim space, how citation-heavy the oldest filings are, and how a small cluster of named inventors ties several assignees' filings together.
Five assignees hold nearly two-thirds of the field
The top 5 of the 47 ranked assignees account for 185 of 284 records — 65.1% of everything in scope. The leader alone holds 64 records, more than the next several combined, so any freedom-to-operate review in this space starts with that one portfolio.
Citation weight sits with the oldest robotics-control filings
The most-cited records in this set are the PFN/TRAC family and the early wireless aircraft-data-upload filings, several published in the early-to-mid 2000s. Their citation counts reflect age and foundational scope, not current filing activity — newer entrants cite them as prior art without competing head-on for the same claims.
A tight inventor group threads through the strongest filings
Ten co-assignee pairs appear in this dataset, with three pairs sharing 8 filings each around the same core inventor. That pattern points to a small internal team whose output was later assigned or reassigned across related filings, rather than independent parallel invention.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to aircraft health monitoring and data loading, with the prior art for and against each one.
The competitive set
The ranking covers 47 assignees with at least one record in scope — not a top-50 or top-100 cut, just the full set the data returns. Filing activity is heavily front-loaded toward a handful of aerospace OEMs and avionics suppliers, with a long tail of single- or few-filing entrants.
One assignee's portfolio outsizes the rest of the top 5 combined
The leading assignee holds 64 of the 284 records in scope, more than double the fifth-place holder's 12. That gap matters for freedom-to-operate work: clearing this one portfolio resolves a disproportionate share of the crowding risk in the field.
A shallow drop-off from fifth to tenth
Positions five through ten fall from 12 records to 7 — a much gentler slope than the drop from first to fifth. This band is where avionics suppliers and MRO-adjacent filers compete for the same claim space the leader hasn't already occupied.
Most named assignees hold a handful of filings each
Beyond the top 10, the remaining assignees in the ranking split the last 20.8% of records among them. That's where narrower, more specific claims tend to sit — smaller filers rarely have the budget to file broad platform claims and instead protect a single mechanism or workflow.
| Assignee | Recent year | YoY |
|---|---|---|
| Air China Limited | 0 | — |
| Honeywell International Inc. | 0 | -100% |
| The Boeing Company | 0 | — |
| Sagem Avionics, Inc. | 0 | — |
| PT HLDG | 0 | — |
| Federal Express Corporation | 0 | — |
| PRICE JERRY L | 0 | — |
| MITCHELL TIMOTHY M | 0 | — |
Where to take this
The dataset points to two practical next steps depending on whether you're clearing risk or looking for room to file.
Run a freedom-to-operate check against the top 5
With 65.1% of records held by five assignees, a targeted FTO review of that group covers most of the crowding risk in this space before you look anywhere else.
Explore assignee portfolios in EurekaMap the under-claimed branches before filing
Sub-areas like data-loader authentication and fault-code correlation logic sit below the core G06F/H04B/B64D density — worth a closer claim-by-claim look before drafting.
Run a white-space search in EurekaCommon questions on this landscape
One assignee leads with 64 of the 284 records in scope, well ahead of the fifth-place holder's 12. The top 5 assignees together hold 185 records — 65.1% of all records in scope — so the field is heavily concentrated at the top rather than evenly spread across many filers. Beyond the top 10, which hold 79.2% combined, the remaining 37 of 47 ranked assignees each hold only a handful of filings, forming a long tail typical of a mature but still-active niche.
Filing activity peaked at 18 in 2020, dropped as low as 1 in 2021, then rebounded to 7 by 2024 — a +600% increase over that three-year span. Figures for 2025 and 2026 look lower, but that reflects publication lag of roughly 18 months rather than an actual slowdown; those years are still filling in as applications publish. Based on the complete data through 2024, the underlying trend is a rebound, not a decline.
Electric digital data processing (IPC class G06F) appears in 34.9% of the 284 records, making it the single most common classification, followed by general transmission (H04B) at 27.8% and aircraft equipment (B64D) at 27.1%. Because a single record can carry multiple IPC codes, these percentages overlap rather than summing to 100%. The pattern shows that claim activity in this field leans toward the data-handling and communication layers as much as the physical aircraft hardware itself.
US7103456B2, assigned to Safran Electronics & Defense, Avionics USA, covers a PCMCIA card used to remotely communicate with an aircraft condition monitoring system without modifying the ACMS hardware or software. Its core value is compatibility: it works with any flight data acquisition unit that takes a storage card, and it enables real-time wireless communication between the ACMS and a ground station. Anyone building a retrofit wireless-upload solution for legacy ACMS hardware needs to check this claim scope specifically around card-based, no-modification interfacing.
The core claim density sits in data processing, transmission and aircraft equipment classes, but narrower functional areas — wireless data-loader authentication, software part-number version reconciliation, and ground-station fault-code correlation logic — show comparatively lower filing activity in this dataset. These are workflow- and protocol-level mechanisms layered on top of well-claimed hardware, which typically means the physical interface is occupied but the specific software logic running over it is not. A first claim in one of these areas would likely focus on a specific reconciliation or authentication method rather than the hardware architecture itself.
Research Aircraft Health Monitoring and Data Loading in depth with Eureka
Go past this page: query the whole aircraft health monitoring and data loading corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
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.