Distributed Systems Patents: Top Companies & Filing Trends 2026
- 25.8% concentration at the top. The five leading assignees account for 42,238 of the 163,613 records in scope, with a long tail of single- and few-filing entrants behind them.
- Filings cooled after a 2019 peak. Activity crested at 1,701 records in 2019; the last fully comparable span shows filings falling from 1,309 in 2021 to 800 in 2024, a 39% drop.
- G06F and H04L dominate the claim space. Electric digital data processing (9.7% of records) and digital information transmission (5.2%) carry the bulk of claim density; AI-model computing (G06N) sits far behind at 0.6%.
Filing growth compares 2021 (1,309 records) with 2024 (800) — 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 163,613 records in scope (CR5), not by the ranked leaders only.
What the distributed systems patent record actually covers
Distributed systems patenting spans the infrastructure layer that makes networked computing work at scale: virtual machine migration, workload scheduling, fault tolerance and software deployment across compute resources and service instances. The corpus analysed here spans 163,613 published records filed or published between 2015 and the 2026 cut-off, drawn from a search string built around these exact technical terms rather than a single classification code.
Because publication lags filing by roughly 18 months, the most recent one or two years in any trend line are undercounts, not a genuine drop-off. The 2021-to-2024 window is the most recent stretch that can be read as complete, and it already shows filings pulling back from their 2019 peak.
Filing trend and technology composition
Two views of the same 163,613-record corpus: filings by year, and the IPC subclasses that carry the claim density. Class shares are calculated against the full record count and overlap, since a single record can carry several IPC codes.
Filings rose to a 2019 peak, then pulled back
Recorded filings ran from 1,186 in 2017 to a peak of 1,701 in 2019. The most recent complete comparison, 2021 (1,309) to 2024 (800), shows a 39% decline; 2025 and 2026 figures will rise as publications catch up but are not yet comparable.
Claim density concentrates in two IPC subclasses
G06F (electric digital data processing) covers 9.7% of records and H04L (digital information transmission) covers 5.2%, together carrying most of the infrastructure-layer claims. G06Q, G06N, H04W, G06T, H04N and G06K each sit under 1%, marking them as adjacent rather than core to this search string.
Shares are the percentage of the 163,613 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Distributed Systems Patent Landscape with Eureka
This page is one run against one query. Ask Eureka your own question about distributed systems patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaA representative claim and the most-cited prior art
US12632279B2 — Cross-platform virtual machine migration
A distributed computing system with a migration domain that moves virtual machines between hypervisors on separate, independent distributed computing platforms, then propagates the virtual network parameters the machine used before migration to a new virtual/physical association at the target.Filed by Microsoft Technology Licensing, LLC; published 2026-05-19.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20090276771A1 | Globally Distributed Utility Computing Cloud | 2,863 |
| 2 | US20090254572A1 | Digital information infrastructure and method | 2,824 |
| 3 | US6571282B1 | Block-based communication in a communication services patterns environment | 2,353 |
| 4 | US20120069131A1 | Reality alternate | 2,110 |
| 5 | US20170006135A1 | Systems, methods, and devices for an enterprise internet-of-things application development platform | 1,905 |
| 6 | US20070087756A1 | Multifactorial optimization system and method | 1,866 |
| 7 | US20100250497A1 | Electromagnetic pulse (EMP) hardened information infrastructure with extractor, cloud dispersal, secure stora… | 1,773 |
| 8 | US20100332401A1 | Performing data storage operations with a cloud storage environment, including automatically selecting among … | 1,745 |
| 9 | US6826711B2 | System and method for data protection with multidimensional parity | 1,668 |
| 10 | US20020010679A1 | Information record infrastructure, system and method | 1,634 |
Citation counts reward older filings simply for having been in circulation longer; treat them as a signal of influence within this searched set, not as a ranking of current technical importance.
Each row carries its publication number; clicking a row searches Eureka by that number.
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Three read-throughs from the concentration, class and momentum data: where claim space is already occupied, where it has thinned, and what that means for a new filing.
The core is crowded, the edges are not
The five leading assignees hold 25.8% of all records, and the top ten hold 34.8%. That leaves the majority of the corpus spread across a long tail of assignees filing in narrower or more recent niches, which is where freedom-to-operate is easier to establish.
Filing volume has pulled back from its 2019 peak
Recorded filings dropped from 1,309 in 2021 to 800 in 2024, a 39% decline across the last fully comparable window, after peaking at 1,701 in 2019. Several of the largest assignees show year-on-year declines in their most recent filing year as well, though the very latest years remain undercounted due to publication lag.
Two IPC subclasses carry most of the claim density
G06F and H04L together anchor the technical core of this corpus; every other subclass in scope, including AI-model computing under G06N, sits under 1% of records. That gap suggests AI-adjacent distributed-systems claims are still a small fraction of the filed art relative to core compute and transmission claims.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to distributed systems patent landscape, with the prior art for and against each one.
Assignee concentration and where activity is slowing
The ranked leaders span platform vendors, chipmakers and enterprise infrastructure suppliers, but recent-year momentum has cooled across nearly all of them at once — a pattern worth checking before assuming any single player is pulling ahead.
One assignee sits well clear of the field
The leading assignee holds 12,097 records, more than double the fifth-place holder's 5,324, before the ranking flattens into a long tail toward the tenth-place mark of 2,440.
Even the largest filers have pulled back sharply
Year-on-year filing counts for several major assignees fell by 73% to 100% in the latest year tracked, though this coincides with the publication-lag window and should not be read as firms exiting the field outright.
Cross-entity filing is limited and mostly intra-group
Only ten co-assignee pairs appear in the corpus, and the strongest ones link a parent company to its own regional or IP-holding subsidiary rather than to an external partner, indicating collaboration here is largely an internal filing structure, not cross-company joint development.
| Assignee | Recent year | YoY |
|---|---|---|
| Amazon Technologies, Inc. | 4 | -73% |
| International Business Machines Corporation (IBM) | 2 | -78% |
| Oracle International Corporation | 2 | -90% |
| Microsoft Technology Licensing, LLC | 1 | -97% |
| Google LLC | 1 | -88% |
| VMware, Inc. | 0 | -100% |
| Microsoft Corporation | 0 | — |
| Intel Corporation | 0 | -100% |
Where to take this analysis
The dataset points to three follow-up questions worth running before drafting new claims or freedom-to-operate opinions.
Check freedom-to-operate against the concentration data
With the top 5 holding 25.8% of records, a new filing in core virtual-machine-migration or scheduling claims needs to be checked against those assignees specifically, not just the field at large.
Explore assignee coverage in EurekaModel the white space in AI-adjacent scheduling
G06N-classed records sit at 0.6% of the corpus against G06F's 9.7%, suggesting AI-workload-aware distributed scheduling claims remain comparatively open.
Run a white space search in EurekaRe-run the trend once 2025–2026 publications catch up
The apparent slowdown after 2019 is real through 2024, but the last two years will keep filling in as publication lag resolves; a follow-up pull in a year will sharpen the picture.
Set a monitoring alert in EurekaCommon questions on the distributed systems patent landscape
The leading assignee in this corpus holds 12,097 records, more than double the fifth-ranked holder's 5,324. The top five assignees combined account for 25.8% of all 163,613 records in scope, and the top ten account for 34.8%. Beyond that point the ranking flattens quickly into a long tail of companies filing far smaller volumes, so a handful of large platform and infrastructure vendors carry the bulk of concentration without dominating the field outright.
Filing peaked in 2019 at 1,701 recorded documents and has declined since: the most recent fully comparable window shows a drop from 1,309 filings in 2021 to 800 in 2024, a 39% decline. Because publication lags filing by roughly 18 months, the 2025 and 2026 figures in any dataset will look artificially low and should not be read as evidence the field has stopped moving; they are simply incomplete.
Electric digital data processing (IPC class G06F) covers 9.7% of the 163,613 records in scope, and digital information transmission (H04L) covers 5.2%, making them the two largest technical classes by a wide margin. Business-process computing (G06Q), AI-model computing (G06N), wireless networks (H04W) and image or video processing classes each sit under 1% of records, marking them as adjacent rather than core to the corpus defined by this search.
The composition data shows a sharp drop-off after the two dominant classes: AI-model computing (G06N) sits at just 0.6% of records versus G06F's 9.7%, and wireless, image and video-related classes are lower still. That gap suggests claims combining core distributed-systems mechanisms, such as workload scheduling or fault-tolerant failover, with AI-driven resource allocation are comparatively under-claimed relative to the dense core art around virtual machines and data transmission.
Concentration is moderate rather than extreme: the top five assignees hold 25.8% of all 163,613 records, and the top ten hold 34.8%, leaving roughly two-thirds of filings spread across a long tail of other entities. Cross-company collaboration is also limited, with only ten identifiable co-assignee pairs in the corpus, most of them linking a parent company to its own subsidiary rather than to an external partner.
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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.