Engine Life Management Patents: Who Leads, Where the Gaps Are 2026
- Three assignees account for 94.1% of all 17 records in scope, leaving almost no room for a fourth challenger to build a comparable position from scratch.
- G06Q business-and-admin data processing appears in 82.4% of records, confirming that workscope and maintenance-decision software, not turbine hardware, is where claims are being written.
- Filings fell from 1 in 2021 to 0 by 2024, a documented -100% swing, though publication lag means 2025-2026 figures are still filling in and should not be read as the field going quiet.
Filing growth compares 2021 (1 records) with 2024 (0) — 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.
What this landscape covers
Engine life management ties together two things operators care about on a daily basis: how much exhaust gas temperature (EGT) margin an engine has left before its next shop visit, and how life-limited parts get tracked against cycle counts across a fleet. The 17 records in scope span deterioration modelling, shop visit interval prediction, on-wing maintenance decisioning and fleet data analytics, filed against a search built around those exact terms rather than a broad turbine-hardware query.
The result is a narrow, software-leaning corpus. Most of what gets filed here is decision logic and workscope generation sitting on top of engine sensor data, not new mechanical designs. That shapes where the competitive risk actually sits.
Filing trend and technology composition
Two views of the same 17-record corpus: how filing activity moved year over year, and which IPC subclasses the records actually sit in.
Filing trend, 2017-2026
Filings peaked at 8 in 2018, then declined; the documented span from 1 filing in 2021 to 0 in 2024 is a -100% move, the last year in this trend that can be treated as complete given an 18-month publication lag.
IPC subclass composition
G06Q (business, commerce and admin data processing) covers 82.4% of the 17 records, far ahead of F01D turbine hardware at 17.6% and the smaller B64F, G05B, G06G, G06N and G07C classes, each in the single digits. Records can carry more than one class, so these shares do not sum to 100%.
Shares are the percentage of the 17 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Engine Life Management and Margin Tracking with Eureka
This page is one run against one query. Ask Eureka your own question about engine life management and margin tracking and every answer comes back with the patent numbers behind it.
Try EurekaRepresentative filing and most-cited records
Zustandsüberwachung und -verwaltung eines Gasturbinenmotors (Engine condition monitoring and management)
A method receives engine data, analyzes it to decide how many on-wing and shop-visit performance analyses to run, performs those analyses, and generates a workscope recommendation that is then implemented to service the engine.Filed by RTX Corporation, published 2023-07-26 as EP4216012A1.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20190147412A1 | Systems and Methods to Generate an Asset Workscope | 67 |
| 2 | US20220230125A1 | System and method for optimizing management of machine asset maintenance and production operations | 25 |
| 3 | US20190147411A1 | Methods and apparatus to generate an asset workscope operation | 23 |
| 4 | EP3493128A1 | Methods and apparatus to generate an asset workscope operation | 19 |
| 5 | EP3483799A1 | Systems and methods to generate an asset workscope | 16 |
| 6 | US11334854B2 | Systems and methods to generate an asset workscope | 3 |
| 7 | US10949813B2 | Methods and apparatus to generate an asset workscope operation | 3 |
| 8 | EP3483799B1 | Systems and methods to generate an asset workscope | 1 |
Citation counts favour older filings simply because they have had more time to be cited; treat them as a signal of influence within this searched corpus, not as a ranking of current technical importance.
Publication numbers are shown where the record carries one (8 of 8 rows); clicking a row searches Eureka by that number.
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Three figures worth sitting with before deciding where to file next.
Three names hold almost the entire field
The top 3 and top 5 combined figures are identical at 16 records, 94.1% of the 17 records in scope, because only three assignees are ranked at all. There is effectively no long tail here to speak of.
Software workscope logic dominates the claim space
G06Q business-and-admin data processing appears in 82.4% of the 17 records, more than four times the share of F01D turbine hardware at 17.6%. Claims here are being written around decision logic, not mechanical structure.
Recorded filings dropped to zero by 2024
The documented move from 1 filing in 2021 to 0 in 2024 is a full reversal, and the leading assignee shows the same -100% YoY pattern into the latest tracked year. Because publication lags filing by roughly 18 months, 2025-2026 should be read as still filling in, not as confirmation the field has gone cold.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to engine life management and margin tracking, with the prior art for and against each one.
The ranked leaders and where they are not
Only three assignees appear in the ranking, and between them they cover 94.1% of the 17 records in scope. That leaves narrow but real openings in adjacent sub-areas none of them have claimed heavily.
One assignee dominates the ranked field
The leading assignee holds 14 of the 17 records in scope, well ahead of the other two ranked companies, and shows 0 filings with a -100% YoY change in the latest tracked year alongside the rest of the field.
No meaningful long tail
This is the entire assignee ranking the dataset returns, not a top-50 or top-100 cut. With only three names covering 94.1% of records, a new entrant is not fighting a crowded field so much as a very small, concentrated one.
Filing activity splits evenly between Europe and the US
Europe (EPO) and the United States each carry 6 of the receiving-office filings, with Austria and Germany at 2 each and Singapore at 1. There is no single dominant jurisdiction driving this corpus.
| Assignee | Recent year | YoY |
|---|---|---|
| General Electric Company (GE) | 0 | -100% |
| Raytheon Technologies Corporation (RTX) | 0 | — |
| TRACKIT SOLUTIONS FZ LLC | 0 | — |
Where to take this
The dataset points to a narrow but concentrated field. Here is how to use that before deciding where to file or partner.
Map the workscope-logic claims in detail
With 82.4% of records sitting in G06Q, the real competitive terrain is decision logic, not hardware. A claim-by-claim read of the leading assignee's workscope generation family is worth doing before drafting anything adjacent.
Explore the family tree in EurekaWatch the 2025-2026 filings as they publish
The -100% drop by 2024 should not be treated as final; publication lag means recent activity is still surfacing. Re-check this trend in six to twelve months before concluding the field has gone quiet.
Set a filing alert in EurekaTest the white space chips against your own claims
Sub-areas like cycle reconciliation across engine swaps and real-time EGT-triggered on-wing analysis show thin coverage. Run a freedom-to-operate check on these before assuming they are open.
Run a white space search in EurekaCommon questions about this landscape
The ranked leader holds 14 of the 17 records in scope, well ahead of the other two ranked assignees. Only three companies appear in the ranking at all, and together they cover 94.1% of all records in this dataset. That means the field is highly concentrated rather than fragmented across many small filers, so a new entrant is effectively negotiating claim space with three players, not fifty.
The documented trend runs from 1 filing in 2021 to 0 in 2024, a -100% change over that span, following a peak of 8 filings in 2018. However, publication typically lags actual filing by around 18 months, so 2025 and 2026 figures in any such dataset are still incomplete and should not be read as proof the field has gone cold. The safest read is that activity has cooled from its 2018 peak, with the most recent years still an open question.
Despite the aero-engine subject matter, 82.4% of the 17 records sit in IPC class G06Q, business and administrative data processing, meaning most claims describe workscope generation and maintenance-decision logic rather than turbine hardware. F01D, actual turbine and engine structure, covers only 17.6% of records. Smaller classes covering ground installations, control systems, analogue computing, AI models and attendance/checking devices each appear in single digits, pointing to a software-first claim landscape.
With only three assignees covering 94.1% of records, several adjacent sub-areas remain thinly claimed relative to the core workscope-generation patents: deterioration-model calibration from fleet sensor drift, life-limited part cycle reconciliation across engine swaps, AI-driven shop visit interval forecasting, and real-time on-wing analysis triggered by EGT margin decay. These are not guaranteed white space, but the concentration data suggests they have not been heavily contested by the three leading filers.
EP4216012A1, filed by RTX Corporation and published 2023-07-26, describes a method that receives engine data, analyzes it to decide how many on-wing and shop-visit performance analyses to run, performs those analyses, and generates an implementable workscope recommendation. It is one representative record among the 17 in scope, sitting alongside closely related filings from the same broader family on asset workscope generation. Anyone building a similar decision pipeline should read its specific claim language on the analysis-selection step, since that is the narrowest and most defensible part of the described method.
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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.
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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.