On-Chip RNG Patents: Who Leads, Where the Gaps Are 2026
On-Chip Random Number Generation Patents: Entropy Sources, Leaders and Filing Trends
No single company dominates. the leader holds 112 of 1,944 records and the top 5 combined account for just 16.4% of all records in scope. Filings rose to a peak of 130 in 2022, then declined to 43 by 2024 (-65% from the 2021 figure of 124). 2025 and 2026 counts are still incomplete due to publication lag and should not be read as a continued drop.
- 1INTEL CORP5.8%
- 2NXP BV3.2%
- 3MEMJET TECH LTD2.7%
- 4INTEGRATED DEVICE TECH INC2.6%
- 5INTERNATIONAL BUSINESS MACHINE CORPORATION2.1%
See the full on chip random number generation 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
Who holds the most patents in on-chip random number generation?
The leading assignee in this dataset holds 112 of the 1,944 records in scope, with the top 5 combined reaching 319 records, or 16.4% of the field. That is a real lead but far from a monopoly: the gap from fifth place (40 records) to tenth place (30 records) is gradual, and the ranked list covers 100 companies with a long tail of small filers behind the leaders. A freedom-to-operate search should still check the leader’s portfolio closely, but should not assume the field is closed off by one or two names.
Is patent filing in this area growing or shrinking?
Filings peaked at 130 in 2022 and fell to 43 by 2024, a -65% change from the 2021 figure of 124 — the last two full years show a clear cooldown from peak activity. Counts for 2025 and 2026 are still incomplete because publication typically lags filing by around 18 months, so those years should not yet be read as continuing the decline. Treat 2024 as the most recent reliable data point when judging momentum.
What technology areas do these patents actually cover?
Claims cluster heavily in digital logic rather than the physical entropy source itself: G06F (electric digital data processing) covers 48.8% of the 1,944 records and H04L (digital information transmission) covers 27.4%. Circuit-level classes like H03K (pulse technique and logic circuits) and H03L (automatic frequency/phase control) sit lower, at 18.7% and 12.1%. H03B, tied most directly to oscillator generation, covers just 5.0% of records, which points to comparatively thin claim density right at the noise source.
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 On Chip Random Number Generation 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.