Predictive Maintenance Analytics Patents: Top Companies & Trends 2026
Predictive Maintenance Analytics Patents: Who Files, What They Claim, and Where the Gaps Sit
A long tail, not a stranglehold. the ranked leader holds 401 families and the top 5 combined account for 14.0% of all 7,154 records in scope — no single filer controls the field. Annual filings rose from 222 in 2017 to a peak of 1,015 in 2025, with 2026 sitting at 507 so far. The 2021-to-2024 span — the last stretch unaffected by publication lag — grew a modest 4%, from 526 to 545 filings, suggesting the field has moved from rapid build-up toward a steadier plateau rather than continued acceleration.
- 1STRONG FORCE IOT PORTFOLIO 2016 LLC5.6%
- 2STRONG FORCE VCN PORTFOLIO 2019 LLC2.8%
- 3ROCKWELL AUTOMATION TECH INC2.1%
- 4AURORA LABS LTD1.8%
- 5ARMAMENTS RESEARCH CO INC1.8%
See the full predictive maintenance analytics 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 about predictive maintenance analytics patents
Who holds the most predictive maintenance analytics patents?
The ranking covers 100 companies by patent family count, and the top-ranked assignee holds 401 families, well ahead of the fifth-place holder at 127 and tenth place at 97. That said, the top 5 combined account for only 14.0% of all 7,154 records in scope, and the top 10 combined reach 21.6%, so no single company controls the space. A freedom-to-operate check needs to cover the long tail of smaller filers as well as the named leader.
Is predictive maintenance analytics patent filing still growing?
Filing rose steadily from 222 records in 2017, but growth has slowed: from 2021 (526) to 2024 (545) — the last years not distorted by publication lag — the increase was only 4%. Figures for 2025 and 2026 look higher on the surface but are still filling in as publications catch up to filings, typically an 18-month lag. Treat the field as plateauing rather than either declining or accelerating.
What technology areas dominate predictive maintenance analytics patents?
Control and regulating systems (IPC class G05B) appear in 30.4% of the 7,154 records, ahead of AI-model computing (G06N) at 24.1% and digital data processing (G06F) at 22.3%. Business and administrative data processing (G06Q) and digital transmission (H04L) also feature at 19.9% and 13.0% respectively. Because a single record can carry several IPC classes, these percentages overlap rather than summing to 100%.
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 Predictive Maintenance Analytics 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.