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Storage Class Memory Patents: Leaders, Trends & White Space 2026

Storage Class Memory Patents: Leaders, Trends & White Space 2026
https://www.patsnap.com/resources/blog/rd-blog/storage-class-memory-and-persistent-memory-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Memory & Storage
Storage Class Memory and Persistent Memory Patents
  • Filing has cooled since its 2019 peak. 29 families published that year against a flat-to-declining run through the low single digits by 2022, so the claim space that got staked early is largely settled.
  • The docket concentrates almost entirely in one office. 123 of 139 published records are US filings, with China, WIPO, the UK and the EPO together accounting for the rest — this is a US-centred prosecution story.
  • G06F carries the whole dataset; G11C is a distant second. Every record touches electric digital data processing (G06F), while dedicated memory-device IPC codes like G11C and H10B show up in a minority of filings, pointing to a system- and controller-level focus over device physics.
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139
Published Records
48%
Top-5 Share of All Records
-33%
3-Yr Growth (lag-adjusted)
US
Leading Jurisdiction
Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

What this patent set actually covers

Storage class memory sits in the latency gap between DRAM and block storage, and the patent activity tracked here follows the software and system-level problems that gap creates: byte addressability, write endurance management, crash consistency after a power failure, and the tiering software that decides what data lives where. The search spans 2015 through the 2026 cut-off and pulls 139 published families built around those exact technical claim terms rather than a broad memory-technology keyword.

Because publication typically lags filing by around 18 months, the last one or two years in any trend chart will always understate real filing activity — treat the most recent bars as a floor, not a ceiling.

Filing activity by year, 2017–2026
  1. 1NETAPP INC21
  2. 2INTERNATIONAL BUSINESS MACHINE CORPORATION13
  3. 3SANDISK TECHNOLOGIES LLC12
  4. 4WOLLEY INC11
  5. 5ORACLE INT CORP10
  6. 6RAMBUS INC10
  7. 7INTEL CORP7
  8. 8UNIVERSITY OF CENTRAL FLORIDA RESEARCH FOUNDATION INC5
  9. 9VMWARE INC5
  10. 10TSINGHUA UNIVERSITY5
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Storage Class Memory and Persistent Memory 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 139 families: when the claims were filed, and which IPC subclasses they were built under.

A peak in 2019, then a decline

Filings ran from 13 in 2017 to a peak of 29 in 2019, then fell back toward single digits by the 2022 midpoint (4) and stayed flat or declining into the most recent complete years. That shape reads as a technology whose core claim space was staked out early in the storage-class-memory era, with later entrants filing narrower, more defensive follow-on claims rather than new foundational ones.

A peak in 2019, then a decline08152330132017201829201920202021202220232024202502026Most recent year is partial — publication lag means later filings are not yet visible.

G06F dominates; device-level codes are secondary

Every one of the 139 records is classified under G06F (electric digital data processing), with G11C (static and digital memories) appearing in 20 and H04L (digital information transmission) in 11. Device-manufacture codes such as H10B and H01L appear in single digits, confirming that this corpus is about how systems manage persistent memory rather than how the memory cells themselves are built.

G06F dominates; device-level codes are secondaryG06F · Electric digital data processi…139100.0%G11C · Static & digital memories2014.4%H04L · Digital information transmissi…117.9%H10B · Memory device manufacture64.3%H01L · Semiconductor devices53.6%G06N · Computing based on AI models21.4%H03M · Coding & code conversion21.4%

Shares are the percentage of the 139 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 Storage Class Memory and Persistent Memory 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

The most-cited records in this landscape

Representative filing
US11221766B22022-01-11

System and method for persistent memory rotation based on remaining write endurance

DELL PRODUCTS, LP

During a power-on self-test, the BIOS of an information handling system reads a percentage remaining of a persistent memory device. If the percentage remaining satisfies a threshold, the BIOS provides a replacement message or automatically swaps namespaces between two sets of persistent memory devices based on the write endurance remaining threshold.Filed by DELL PRODUCTS, LP; published 2022-01-11 as US11221766B2.

US11221766B2 — patent drawing 1US11221766B2 — patent drawing 2
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Highest-citation families
#Publication no.Patent titleCitations
1US20180260324A1Data Structure Store in Persistent Memory74
2US20150006834A1Method and apparatus for store durability and ordering in a persistent memory architecture69
3US20160342487A1High performance persistent memory63
4US10817502B2Persistent memory management55
5US20140317336A1Local direct storage class memory access44
6US20100106754A1Hardware and Operating System Support for Persistent Memory On A Memory Bus41
7US20140351535A1Snapshots and versioning of transactional storage class memory40
8US10733110B1Collecting statistics for persistent memory39
9US20170046268A1Write Mirroring to Storage Class Memory Devices38
10US20160253123A1NVMM: An Extremely Large, Logically Unified, Sequentially Consistent Main-Memory System37

Citation counts inside a searched corpus skew toward older, earlier-filed records simply because they have had more time to accumulate citations — read this as a signal of influence on the field, not of current commercial importance.

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 Storage Class Memory and Persistent Memory 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 in the data matter more than the raw counts on their own.

Filing trend
29 in 2019 → 4 by 2022
peak to midpoint

The foundational window has closed

The run-up to 29 filings in 2019 followed by a drop to 4 at the 2022 midpoint suggests the core architectural claims — byte-addressable access paths, basic crash-consistency schemes — were largely filed during the first wave. New entrants now face a denser prior-art floor for anything resembling those baseline mechanisms.

Based on the 2017–2026 filing trend
Jurisdiction
123 of 139 in the US
US-filed share

This is a US prosecution story

With 123 of 139 published records filed in the United States and the next largest office (China) at only 8, competitive and freedom-to-operate analysis for this technology should be anchored on USPTO prosecution first, then treated as a check elsewhere.

Receiving-office distribution
Classification mix
G06F in 139 of 139; G11C in 20
IPC concentration

Software and controller logic outweighs device physics

Every record sits under G06F while only 20 also carry G11C and 6 carry H10B, meaning the bulk of active claim territory is in how software and controllers manage persistent memory rather than in the memory cell or die itself.

IPC subclass counts
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Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to storage class memory and persistent memory, with the prior art for and against each one.

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Co-filing is rare
AssigneeCo-assigneeShared families
International Business Machines Corporation (IBM)IBM (China) Company Limited1
International Business Machines Corporation (IBM)IBM ISRAEL SCI & TECH LTD1

Only two co-assignee pairs appear in the dataset, both involving IBM entities across jurisdictions, indicating this field is prosecuted almost entirely by single-owner filings rather than joint ventures or cross-licensed development.

Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Storage Class Memory and Persistent Memory 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 gaps sit

Recent-year momentum has stalled across every tracked assignee, with each showing zero filings in the latest year — consistent with the broader post-2019 decline rather than any single company pulling back.

Momentum
0 in latest year
across tracked assignees

No assignee is currently accelerating

Every assignee with meaningful filing history in this set, from IBM to Rambus to Western Digital, shows zero filings in the most recent year. Given the publication lag, this likely reflects the broader slowdown rather than a genuine stop in R&D.

Recent-year momentum by assignee
Concentration
2 co-assignee pairs
in 139 families

Ownership is fragmented, not pooled

With only two co-assignee pairs across the whole dataset, most families are prosecuted by a single owner. That makes freedom-to-operate clearance more tractable — there are fewer joint-ownership chains to trace — but also means licensing consolidation has not happened yet.

Co-assignee pair count
Citation leaders
Up to 74 citations
top cited record

Influence sits with the earliest filers

The most-cited records in this set date to the mid-2010s, when the foundational architecture and durability-ordering claims were laid down. Newer filings have not yet had time to accumulate comparable citation counts, so treat the citation table as historical influence rather than a current importance ranking.

Most-cited records table
🔍
Under-claimed branches worth checking before you file
These sub-areas show thinner density in the current 139-family set relative to the core write-endurance and crash-consistency claims.
Tiering-software heuristics for mixed DRAM/SCM poolsNamespace-level write-endurance rotation beyond BIOS-triggered swapCrash-consistency verification toolingByte-addressable access APIs for AI/accelerator workloads
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Recent-year filing momentum
AssigneeRecent yearYoY
Netlist, Inc.0
International Business Machines Corporation (IBM)0
Oracle International Corporation0
Rambus Inc.0
WOLLEY INC0
Western Digital Technologies, Inc.0
Intel Corporation0
Tsinghua University0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Storage Class Memory and Persistent Memory 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 analysis

The dataset points to a mature, US-centred claim landscape with a narrowing window for foundational filings and a handful of specific under-claimed branches still open.

Map claims against the 2019 filing peak

Pull the granted claims from the highest-cited 2015–2019 records to see exactly which architectural elements are already blocked before drafting new claims in the same space.

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Check the under-claimed branches directly

Run a focused search against tiering-software heuristics and namespace-level endurance rotation to see how thin the prior art really is before committing drafting time.

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Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Storage Class Memory and Persistent Memory 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 about storage class memory patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Storage Class Memory and Persistent Memory 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.

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