Digital twin anomaly detection patents: filing trends and who holds the ground
Three companies account for all 16 records in scope. The ranked leader set is complete at three names — there is no long tail of smaller filers to chase in this dataset. Filings were flat near zero through 2017-2020, rose to a peak of 14 records in 2022, then dropped to 0 by 2024 — a -100% swing over that three-year span. Because 2025 and 2026 publications are still arriving, this should be read as a filing pulse concentrated around 2021-2022 rather than a technology in decline.
- 1卡特彼勒公司56.3%
- 2江森自控泰科知识产权控股有限责任合伙公司31.3%
- 3霍尼韦尔国际公司12.5%
See the full digital twins — twin-based anomaly detection patent landscape analysis in Eureka
- The complete ranking, not just the top five
- Every IPC branch with its share of the corpus
- The most-cited records, and where claim space is still thin
Common questions on this landscape
How many companies hold patents in twin-based anomaly detection?
The ranked assignee list for this dataset contains three companies, and together they account for all 16 records in scope. This is not a top-50 or top-100 cut — it is the complete ranked set the data returns, meaning there is no meaningful long tail of smaller filers to track separately. Anyone doing competitive monitoring in this space can focus attention on those three portfolios rather than scanning a broad field.
Is filing activity in digital twin anomaly detection growing or shrinking?
Filings peaked at 14 records in 2022 and fell to 0 by 2024, a -100% change over that span. However, publication typically lags actual filing by around 18 months, so 2025 and 2026 figures are still incomplete and should not be read as a genuine decline yet. The safest interpretation is that 2021-2022 saw a concentrated filing push, and whether that pace resumes will only be clear once later years finish publishing.
What technology areas do digital twin anomaly detection patents cover?
The corpus splits mainly between excavating and earth-moving equipment (E02F, 43.8% of the 16 records) and general electric digital data processing (G06F, also 43.8%), with control and regulating systems (G05B) close behind at 31.3%. Smaller shares appear in air conditioning and ventilation (F24F) and electric measurement (G01R). This mix shows the field spans both physical heavy-equipment diagnostics and the software logic that interprets twin data, rather than sitting in one narrow discipline.
Disclaimer. This analysis is based on Patsnap Eureka data drawn from a limited snapshot of global patent records and is provided for general information and reference only. Patent data carries inherent limitations — recent filings are under-counted because of publication lag, counts may be on a record or family basis, classification and applicant-name data may contain errors or duplicates, and the underlying search query defines the scope shown — so the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing here is an exhaustive prior-art, novelty, freedom-to-operate or validity search, nor does it constitute legal, financial or professional advice, and it should not be relied upon as such. Verify independently and review with qualified patent and legal professionals before acting on it.
Method: Filing trend and technology composition. Derived from a Patsnap search on Digital Twins — Twin-Based Anomaly Detection Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish. Every share divides by all records in scope. Data: Patsnap Eureka. See the full landscape report.