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Run your analysis now →A patent landscape review of persistent memory tiering: filing trends 2017-2026, the concentration of filings among leading assignees, IPC technology composition, and the white space still open for new claims.
Filing growth = 2021 (27 records) → 2024 (10); 2024 is the last year we treat as complete. Top-5 share = the 5 largest assignees ÷ all 249 records in scope (CR5), not the ranked leaders only.
Persistent memory tiering sits at the boundary between storage and memory architecture: claims cover how systems decide what data belongs in fast, byte-addressable persistent memory versus slower disk or object storage tiers, and how that placement is managed across failover, deduplication and virtualization boundaries. The record spans 249 published families from 2015 through the 2026 cut-off, with filing activity concentrated between 2019 and 2023. Publication lag of roughly 18 months means the most recent one to two years understate real filing activity — a 2025 or 2026 filing may simply not have published yet.
The technology composition is narrow rather than broad: nearly all records sit inside core digital data processing architecture (G06F), with digital transmission (H04L) as the largest secondary class. That pattern, combined with heavy concentration among a small set of assignees, points to a field where the foundational tiering mechanisms are already well staked out, and where new filers are more likely to find room at the edges — in AI-workload-aware tiering, coding/compression-adjacent tiering, or wireless and edge deployments — than in the core placement logic itself.
Pick a task. Every answer cites the patents behind it.
Two views of the same 249 records: how filing activity has moved year over year, and how those records distribute across IPC subclasses. Together they show a field that peaked in the early 2020s and has consolidated around a narrow set of core classes.
Filings rose from 4 in 2017 to a peak of 27 in 2021, then fell to 10 by 2024 — a 63% decline over that three-year window. That is the last year that can be read as complete; 2025 and 2026 figures will keep rising as publications catch up, so they should not be read as confirmation that the field is cooling.
Publication lags filing by roughly 18 months, so 2025 onwards are still filling in. Growth rates on this page therefore end at 2024; running them to the last bar would understate the field.
G06F accounts for 92.4% of all 249 records, making it the default home for tiering claims. H04L (17.3%) and G06Q (5.6%) are the only other classes with meaningful presence; G06N, H03M, H04W, G06G and G11C each sit under 5% of records, marking them as thin, less-contested branches rather than dead ends.
Shares are the percentage of the 249 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about high-performance storage: persistent memory tiering patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaA memory tier including persistent memory (PMEM) devices is established in nodes of a cluster system running a deduplicated file system. Metadata generated by that file system — including an index of fingerprints tied to stored data segments — is persisted to the memory tier. When an instance of the file system fails, a new instance recovers services by loading the fingerprint index straight from the memory tier rather than rebuilding it from slower storage.Filed by EMC IP Holding Company LLC, published 2022-12-15.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20070028244A1 | Computer system para-virtualization using a hypervisor that is implemented in a partition of the host system | 444 |
| 2 | US20100281230A1 | Mechanisms for moving data in a hybrid aggregate | 423 |
| 3 | US20110071981A1 | Automated integrated high availability of the in-memory database cache and the backend enterprise database | 164 |
| 4 | US20070185934A1 | Restoring a file to its proper storage tier in an information lifecycle management environment | 161 |
| 5 | US8365138B2 | Automatic software production system | 156 |
| 6 | US20020104067A1 | Method and system and article of manufacture for an N-tier software component architecture application | 124 |
| 7 | US20110072217A1 | Distributed Consistent Grid of In-Memory Database Caches | 111 |
| 8 | US8315995B1 | Hybrid storage system | 87 |
| 9 | US20070005770A1 | System and method for managing communications sessions in a network | 72 |
| 10 | US20200004685A1 | Proactive data prefetch with applied quality of service | 67 |
Citation counts favour older filings simply because they have had longer to accumulate citations inside the corpus — read them as a signal of influence on later filers, not as a ranking of current commercial importance.
Each row carries its publication number; clicking a row searches Eureka by that number.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →The numbers point to a field with an entrenched core and a thin, mostly unclaimed periphery. The following reads translate the raw figures into where effort is and is not worth spending.
Just five assignees account for over half of all published records, and the top 10 hold 66.3%. New entrants filing on the core placement and tiering-decision mechanisms are filing directly into space held by a small, well-resourced group.
A 63% drop from the 2021 peak to 2024 signals that the core architecture has been substantially claimed rather than that interest has disappeared. Continued filing at a lower, steadier rate is consistent with a maturing rather than an abandoned area.
Only 10 of 249 records touch G06N, meaning tiering decisions driven by AI/ML workload characteristics — as opposed to generic access-pattern heuristics — are largely unclaimed territory relative to the crowded core.
Co-assignee activity is limited to 10 pairs, with the strongest links all tied to a single assignee filing alongside named individual inventors rather than to cross-company joint filings. This is a field of solo corporate filers more than joint ventures.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to high-performance storage: persistent memory tiering patent landscape, with the prior art for and against each one.
The figures above describe the shape of the field. Turning that shape into a filing or freedom-to-operate decision means going claim-by-claim against the leading holders and the thin branches identified here.
With 53.0% of records held by five assignees, any new filing on core tiering mechanisms should be checked against their specific claim scope before drafting.
Run an FTO check in EurekaAI-workload-aware tiering and coding/compression-adjacent tiering sit well under 5% of records each — a first mover in either could claim broadly.
Explore white space in EurekaThe dataset ranks 95 companies by filings, and the leader holds 60 records on its own — well ahead of the fifth-place holder at 11. The top 5 assignees together account for 53.0% of all 249 records in scope, and the top 10 account for 66.3%. That is a steep concentration curve: a handful of large storage and systems vendors dominate the filing record, and the remainder is a long tail of single- or few-filing entrants.
Filing activity rose from 4 records in 2017 to a peak of 27 in 2021, then declined to 10 by 2024 — a 63% drop over that three-year span. 2024 is the most recent year that can be treated as reasonably complete; because publication typically lags filing by about 18 months, the lower counts shown for 2025 and 2026 reflect that lag rather than a confirmed slowdown. The honest read is that the core architecture has been substantially claimed and the pace has cooled from its early-2020s peak, without yet knowing where the true 2025-2026 filing level will settle.
The overwhelming majority of records, 92.4% of the 249 in scope, sit in IPC class G06F (electric digital data processing), covering the core mechanisms for deciding what data goes into a persistent memory tier and how it moves. Digital transmission (H04L, 17.3%) and business/commerce data processing (G06Q, 5.6%) are the next largest classes. AI-based computing (G06N), coding/conversion (H03M), wireless networks (H04W), analogue computers (G06G) and static memories (G11C) each cover under 5% of records, marking them as thin, less-contested branches of the same field.
US20220398221A1, filed by EMC IP Holding Company LLC and published 2022-12-15, covers using a persistent memory tier to hold deduplication metadata — specifically an index of data-segment fingerprints — inside a clustered, deduplicated file system, and recovering that index from the memory tier after a node failure rather than rebuilding it from slower storage. It is a representative example of tiering claims aimed at failover and metadata recovery rather than general data placement. Anyone building fast-failover deduplication on persistent memory should read its claims closely before assuming a design-around.
The clearest gaps sit in the thin IPC branches: AI-workload-aware tiering decisions (G06N, only 4.0% of records), coding/compression-integrated tiering (H03M, 2.4%), and tiering for wireless or edge deployments (H04W, 1.6%) are all lightly claimed relative to the crowded G06F core. Co-assignee filing is also sparse — only 10 pairs across the dataset — meaning cross-company joint development in this space is rare and largely unclaimed as a filing strategy. A first claim that ties tiering placement decisions explicitly to AI/ML workload signals, rather than generic access-pattern heuristics, would be filing into genuinely open space.
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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.