https://www.patsnap.com/resources/blog/rd-blog/rram-device-variability-for-analog-compute-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Memory & Storage
RRAM Device Variability for Analog Compute Patents
  • 33.5% of the field sits with five companies. The top 5 assignees account for 1,084 of 3,239 records in scope, while a long tail of single- and low-filing entrants fills out the rest of the ranked leaders.
  • Filings have cooled since a 2019 peak of 271. The most recent full year sits well below that high point, and the partial current-year count of 10 understates real activity given the usual 18-month publication lag.
  • Claim space is concentrated in two IPC subclasses. H01L covers 62.0% of records and G11C 38.3%, meaning device structure and digital memory architecture, not analog-specific programming, still absorb most of the drafting.
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3,239
Published Records
33%
Top-5 Share of All Records
-42%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth compares 2021 (220 records) with 2024 (128) — 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 3,239 records in scope (CR5), not by the ranked leaders only.

Published byPatsnap Research··6 min readSourced from Patsnap Eureka
Overview

What this landscape covers

This landscape tracks patent filings addressing RRAM device variability as it bears on analog compute: conductance drift, write-verify programming, retention behaviour and the mapping errors that arise when a resistive cell is asked to hold an analog weight rather than a binary state. The scope spans 3,239 published records filed between 2015 and mid-2026, drawn from filings that combine RRAM or analog conductance programming language with claim terms around cycling, device-level programming and retention.

The dataset sits at the intersection of memory fabrication and compute-in-memory architecture, so a single record commonly carries classes for both the physical device and the digital memory system built on top of it. That overlap is visible in the technology composition below, and it is one reason class shares in this field add up to well over 100% of the record total.

Filing activity and technology composition, 2015-2026
  1. 1TAIWAN SEMICONDUCTOR MANUFACTURING CO LTD423
  2. 2INTERNATIONAL BUSINESS MACHINE CORPORATION261
  3. 3WINBOND ELECTRONICS CORP166
  4. 4SAMSUNG ELECTRONICS CO LTD131
  5. 5INST OF MICROELECTRONICS CHINESE ACAD OF SCI LTD103
  6. 6INTERMOLECULAR INC102
  7. 7UNITED MICROELECTRONICS CORP86
  8. 8SANDISK TECHNOLOGIES LLC84
  9. 9PEKING UNIV84
  10. 10INTEL CORP77
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on RRAM Device Variability for Analog Compute 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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The Data

Filing trend and technology composition

Two views of the same 3,239 records: how filing activity has moved year over year, and which IPC subclasses carry the claim volume.

Filing trend, 2017-2026

Filings ran at 207 in 2017, rose to a peak of 271 in 2019, and had fallen to a midpoint of 153 by 2022. The count of 10 for the most recent year is partial and should be read against the 18-month gap between filing and publication, not as a cliff in real activity.

Filing trend, 2017-2026075150225300207201720182712019202020212022202320242025102026Most recent year is partial — publication lag means later filings are not yet visible.

IPC subclass concentration

H01L (semiconductor devices) appears on 62.0% of records and H10N (other electric solid-state devices) on 24.5%, alongside G11C (static and digital memories) at 38.3% and H10B (memory device manufacture) at 20.4%. Because records carry multiple classes, these figures describe overlapping coverage, not a partition of the field.

IPC subclass concentrationH01L · Semiconductor devices2,00862.0%G11C · Static & digital memories1,24138.3%H10N · Other electric solid-state dev…79324.5%H10B · Memory device manufacture66220.4%H10D · Semiconductor devices (general)2437.5%G06F · Electric digital data processi…1474.5%H10P1444.4%H10W872.7%Other41912.9%

Shares are the percentage of the 3,239 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 RRAM Device Variability for Analog Compute covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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Key Patents

Most-cited records in this landscape

Representative filing
US20120079330A12012-03-29

Test device and test method for resistive random access memory and resistive random access memory device

KIOXIA CORPORATION

The filing describes a test arrangement that drives core control signals from two write-enable signals with different timing behaviour, letting an operator verify RRAM operation by locally shortening the interval between core control signal transitions relative to the write-enable period.US20120079330A1 — filed by Kioxia Corporation, 2012-03-29

US20120079330A1 — patent drawing 1US20120079330A1 — patent drawing 2
View full record
Highest-citation records, 2015-2026 scope
#Publication no.Patent titleCitations
1US20140322862A1Method of making a resistive random access memory device with metal-doped resistive switching layer434
2US20130288427A1Methods Of Fabricating Dielectric Films From Metal Amidinate Precursors429
3US20140322885A1Method of making a resistive random access memory device427
4US9142764B1Methods of forming embedded resistors for resistive random access memory cells349
5US20190198571A1Resistive memory with a plurality of resistive random access memory cells each comprising a transistor and a …334
6US20100112810A1Resistive random access memory and method for manufacturing the same261
7US20150034898A1Confined Defect Profiling within Resistive Random Memory Access Cells170
8US20090272962A1Reduction of forming voltage in semiconductor devices165
9US20070257300A1Structures and Methods of a Bistable Resistive Random Access Memory162
10US6982902B2MRAM array having a segmented bit line150

Citation counts favour older filings simply because they have had longer to accumulate citations inside this corpus; treat the ranking as a signal of influence on later filers, not of current commercial 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 RRAM Device Variability for Analog Compute 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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Insights

What the numbers mean for a filing decision

Three patterns from the dataset that matter more than the raw counts on their own.

Concentration
33.5%
of 3,239 records held by top 5

The top of the field is dense, the tail is not

A third of all records in scope trace to five assignees, and the tenth-ranked filer alone still holds 77 records. Below that, the ranked leaders list thins quickly into single-digit filers, which is where freedom-to-operate searches usually turn up surprises rather than blockers.

Top 10 combined: 46.8% of records
Momentum
271 → 10
peak year (2019) vs latest partial year

Activity has cooled from its 2019 peak

Filing volume has trended down since 2019, and several previously active assignees show 0% or negative year-on-year change in the most recent period. Read the latest year's low count with the 18-month publication lag in mind rather than as evidence the field has stopped.

Midpoint year 2022: 153 filings
Composition
62.0%
of records classed H01L

Device structure still dominates over programming method

H01L and H10B together point to a field still weighted toward fabrication and device structure claims, while G06F at 4.5% shows comparatively little claim volume has moved up the stack into the digital processing side of analog compute.

G06F (digital data processing): 4.5% of records
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Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to rram device variability for analog compute, with the prior art for and against each one.

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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on RRAM Device Variability for Analog Compute 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 field still opens

The ranking below covers 100 companies counted by patent family; it is the full set the data endpoint returns, not a curated top list.

Leader
423
records, leading assignee

One filer sits well ahead of the field

The leading assignee holds 423 records against a fifth-place figure of 103 and a tenth-place figure of 77 — a steep drop-off that marks this as a leader-plus-tail structure rather than a tightly clustered top group.

Fifth place: 103 records
Co-filing
47
shared records, strongest pair

A small set of co-assignee relationships repeats

Only 10 co-assignee pairs appear in the dataset, and the strongest recurring pairings sit among a small cluster of memory specialists, suggesting joint development work is concentrated rather than widespread across the field.

10 co-assignee pairs identified
Momentum
-100%
YoY, several prior filers

Recent-year activity has gone quiet for past leaders

Multiple assignees that filed steadily in earlier years show 0 records in the latest year and year-on-year drops as steep as -100%, consistent with the broader slowdown from the 2019 peak rather than any single company's exit.

One assignee still filed in the latest year, though down 93% YoY
🔍
Under-claimed sub-areas worth checking before filing
Branches where the record count and citation density both stay thin relative to the core device-fabrication claims.
write-verify convergence algorithmscross-cell conductance mapping correctionretention-aware weight re-programminganalog-domain drift compensation circuits
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Recent-year filing momentum by assignee
AssigneeRecent yearYoY
Taiwan Semiconductor Manufacturing Co., Ltd. (TSMC)1-93%
United Microelectronics Corp (UMC)10%
International Business Machines Corporation (IBM)0-100%
Winbond Electronics Corp0-100%
Intermolecular Inc0
Samsung Electronics Co., Ltd.0-100%
Institute of Microelectronics, Chinese Academy of Sciences0-100%
Peking University0-100%
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on RRAM Device Variability for Analog Compute 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 from here

The landscape points to where claim space is full and where it is not; the next step is testing a specific claim or design against it.

Check freedom-to-operate on a specific mechanism

Device structure and fabrication claims are dense under H01L and H10B. A programming-method or drift-correction claim is more likely to clear than another device-structure variant.

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Track the leader-plus-tail structure over time

With filings down from their 2019 peak and several past leaders quiet in the latest year, watching which assignees resume filing is more informative than the raw yearly count.

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Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on RRAM Device Variability for Analog Compute 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

Answers are grounded in the same dataset. Derived from a Patsnap search on RRAM Device Variability for Analog Compute 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.