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Run your analysis now →https://www.patsnap.com/resources/blog/rd-blog/on-chip-random-number-generation-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Secure Chips & PaymentsOn-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 peaked in 2022 at 130 and fell from 124 in 2021 to 43 in 2024, a -65% swing over that three-year span, though 2025-26 counts are still filling in.
- Post-processing and health-test claims cluster in digital logic. G06F carries 48.8% of records and H04L 27.4%, while oscillator-generation itself (H03B) sits at only 5.0%.
1,944
Published Records
16%
Top-5 Share of All Records
-65%
Filing Growth 2021→2024
US
Leading Jurisdiction
Filing growth compares 2021 (124 records) with 2024 (43) — 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 1,944 records in scope (CR5), not by the ranked leaders only.
Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview
What this landscape covers
On-chip random number generation spans the physical entropy source — ring oscillators, jitter accumulation, metastable latches — and the digital logic that turns raw noise into usable bits through health testing, bias correction and entropy extraction. This dataset tracks 1,944 published records filed between 2015 and mid-2026 whose claims combine an entropy source with a post-processing or validation step, rather than either topic alone.
Because publication trails filing by roughly 18 months, the most recent one to two years in any trend undercount true filing activity. The patterns below use 2024 as the last complete year and treat 2025-26 as provisional.
Filing activity and technology composition, 2015-2026
Source: Patsnap Eureka. Assignee ranking and totals. 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.Run this in Eureka MCP
The Numbers
Filing trend and technology composition
Two views of the same 1,944 records: how filing activity has moved year over year, and which IPC subclasses the claims fall into.
Filing trend, 2017-2026
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.
IPC subclass composition
G06F (electric digital data processing) and H04L (digital information transmission) together account for the largest shares of records, at 48.8% and 27.4% respectively, reflecting how much of the claim activity sits in post-processing and downstream use rather than the entropy source itself. H03B, the subclass most closely tied to oscillator generation, covers only 5.0% of records — a signal of how thin direct source-circuit claims are relative to everything built around them. Shares sum above 100% because records can carry multiple IPC classes.
Shares are the percentage of the 1,944 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Source: Patsnap Eureka. 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.
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Representative filing and most-cited prior art
Representative Filing
WO2023018476A1 — Very high throughput TRNG for next-generation secure hardware
WI-LAN RESEARCH INC.
A True Random Number Generator circuit compatible with all chip manufacturing technologies including CMOS, using multiple entropy sources where the output of a preceding source affects the entropy of the one that follows. Entropy sources include a metastability-supporting ring oscillator, a chaos circuit and sampling jitter; the chaos source controls the ring oscillator's frequency and its output is sampled against an independent jittered clock, with multiple TRNG cores combined for throughput.Filed by WI-LAN Research Inc., published 2023-02-16.
Most-cited records in this landscape
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20120105362A1 | Synchronizing a stylus with a capacitive sense array | 370 |
| 2 | US20040143710A1 | Cache updating method and apparatus | 266 |
| 3 | US8266451B2 | Voice activated smart card | 255 |
| 4 | US10320569B1 | Systems and methods for authenticating a digitally signed assertion using verified evaluators | 224 |
| 5 | US20040203559A1 | Partial response receiver | 222 |
| 6 | US20050201491A1 | System and method for selecting optimal data transition types for clock and data recovery | 191 |
| 7 | US20080120676A1 | Integrated circuit, an encoder/decoder architecture, and a method for processing a media stream | 186 |
| 8 | US20070006150A9 | Multi-level boot hierarchy for software development on an integrated circuit | 186 |
| 9 | US20030046554A1 | Voice activated smart card | 184 |
| 10 | US20140189890A1 | Device authentication using a physically unclonable functions based key generation system | 181 |
Citation counts favour older filings simply because they have had more time to accumulate citations within the searched corpus — read them as a signal of influence, not of current relevance.
Each row carries its publication number; clicking a row searches Eureka by that number.
Source: Patsnap Eureka. Citation counts and representative records. 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.Run this in Eureka MCP
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What the numbers mean for a filing decision
Three read-throughs from the concentration, trend and classification data above.
Concentration
16.4% top 5
share of 1,944 records
Leadership is thin, not absent
The leading assignee holds 112 records and the top 5 combined reach only 319, or 16.4% of the 1,944 records in scope. That is real concentration relative to a 100-company ranked list, but it leaves most of the field to a long tail of single- and few-filing entrants — this is not a market a newcomer is locked out of.
Based on the full assignee ranking of 100 companies.
Momentum
-65% (2021-2024)
complete-year filing change
Activity has cooled from its 2022 peak
Filings ran to a peak of 130 in 2022 before falling to 43 by 2024, a -65% move from the 2021 figure of 124. Because 2025-26 data is still incomplete, this reads as a genuine cooldown from peak interest rather than a still-unfolding decline.
2024 is treated as the last complete filing year.
Classification
48.8% G06F
of 1,944 records
Claims sit downstream of the entropy source
Nearly half of records touch G06F (digital data processing) and over a quarter touch H04L (digital information transmission), while H03B — oscillation generation itself — covers only 5.0%. Most of the claim density is in what happens to the bits after they are generated, not in the oscillator or noise source that produces them.
Shares sum above 100% because a record can carry multiple IPC classes.
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Co-assignee activity
| Assignee | Co-assignee | Shared families |
|---|---|---|
| Moebius Microsystems | PERNIA SCOTT MICHAEL | 11 |
| Moebius Microsystems | MCCORQUODALE MICHAEL SHANNON | 7 |
| Moebius Microsystems | KUBBA SUNDUS | 7 |
| ARM Limited | Michigan State University | 5 |
| International Business Machines Corporation | CO IBM FRANCE DÉPARTEMENT DE PROPRIÉTÀ INTELLECTUELLE | 4 |
| Intel Corp | ZHENG TIEYU | 2 |
| Intel Corp | XIA YI AMY | 2 |
| Intel Corp | WUNDERLICH RUSS | 2 |
Only 10 co-assignee pairs appear in this dataset, and the strongest pairing recurs across three of them — an indicator that most work here is filed by a single assignee rather than through joint development arrangements.
Source: Patsnap Eureka. Co-assignee relationships and derived observations. 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.Run this in Eureka MCP
Players
Who is filing, and where the gate stands
The assignee ranking spans 100 companies pulled from the full record set. Recent-year momentum for the largest historical filers has gone quiet: several of the leading names show zero filings in the latest year, consistent with the broader post-2022 cooldown rather than any single company retreating.
Leader
112 records
single assignee
One clear leader, no runaway gap
The top-ranked assignee holds 112 of 1,944 records, well ahead of fifth place at 40 and tenth at 30 — a real lead, but not one that closes off the field the way concentration above 50% would.
Ranking covers 100 companies total.
Mid-field
40 vs 30
5th vs 10th place
A gentle taper, not a cliff
The gap between fifth place (40 records) and tenth place (30 records) is modest, suggesting a genuine mid-tier of active filers rather than a sharp drop-off after the leaders.
Top 10 combined reach 485 records, 24.9% of all records in scope.
Recent activity
0 in latest year
for several top-10 assignees
Historical leaders have gone quiet
Several of the assignees with the largest historical filing counts show zero filings in the most recent year tracked. Combined with the 2021-2024 decline, this points to a field where early positions were staked out and few of the largest players are still actively adding to their portfolios.
Recent-year momentum tracked per assignee.
Recent-year filing momentum by assignee
| Assignee | Recent year | YoY |
|---|---|---|
| Intel Corp | 0 | — |
| NXP B.V. | 0 | — |
| Rambus Inc | 0 | — |
| Moebius Microsystems | 0 | — |
| International Business Machines Corporation | 0 | — |
| Texas Instruments Inc | 0 | — |
| Amazon Technologies Inc | 0 | — |
| POLITECHNIKA WARSZAWSKA | 0 | — |
Source: Patsnap Eureka. Assignee-level momentum. 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.Run this in Eureka MCP
What's Next
Where to take this
The dataset points to a field with room at the edges even where the core is dense.
Check claim scope before filing near the entropy source
H03B's thin 5.0% share suggests oscillator-generation claims are less crowded than the post-processing layer built on top of them — worth a closer freedom-to-operate look before assuming the space is occupied.
Explore entropy-source claims in EurekaTrack the post-2022 cooldown by assignee
With several top filers at zero in the latest year, a per-assignee view of who is still active versus who has stopped filing helps separate a maturing sub-field from one still open to new entrants.
Run an assignee momentum search in EurekaSource: Patsnap Eureka. Forward-looking reading of the same dataset. 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.Run this in Eureka MCP
FAQ
Common questions on this landscape
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.
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.
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.
WO2023018476A1, filed by WI-LAN Research Inc. and published 2023-02-16, describes a TRNG circuit that chains multiple entropy sources so the output of one affects the entropy of the next — specifically a metastability-supporting ring oscillator, a chaos circuit, and sampling jitter, with the chaos source controlling the oscillator's frequency and an independent jittered clock sampling its output. It also covers combining multiple TRNG cores for higher throughput. Anyone designing a chained, cross-influencing multi-entropy-source architecture in CMOS should read this filing's claims closely before finalising a circuit topology.
The technology composition data shows claim density weighted toward post-processing (G06F, H04L) and away from the entropy source and its validation circuitry (H03B at 5.0%, G04F time-interval measurement at 4.6%). Specific under-claimed branches include chained multi-entropy-source combination logic, jitter-accumulation health-test circuits, and cross-source bias correction beyond standard von Neumann extraction. These are narrower claim opportunities rather than open fields, since the surrounding post-processing space is already dense.
Answers are grounded in the same dataset. 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.Run this in Eureka MCP
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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.
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.