Stateful Stream Operators Patents: Top Companies & Trends 2026
- Concentrated at the top. The top 5 assignees account for 78.0% of all 50 records in scope, and the top 10 reach 94.0% — this is a field with a small set of repeat filers, not a broad open market.
- Filing growth is uneven, not accelerating. From 2021 to 2024 — the most recent complete years — filings fell 33% (3 to 2), even as 2025 shows a peak of 4 filings still filling in under publication lag.
- Claims cluster hard in one IPC subclass. G06F (electric digital data processing) appears in 84.0% of the 50 records, while adjacent healthcare and AI-model classes each sit at 2-8%, marking where claim density is light.
Filing growth compares 2021 (3 records) with 2024 (2) — 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 50 records in scope (CR5), not by the ranked leaders only.
What the stateful stream operator patent record shows
Stateful stream operators sit at the intersection of distributed systems engineering and data infrastructure: they carry the logic that lets a streaming application remember what happened to a key, a window, or a partition while data keeps arriving. The patent record in scope here spans 2015 to 2026 and is built from claims language around operator state, incremental checkpointing, state partitioning and parallelism rescaling — the mechanics that determine how fast a stream processor can recover from failure and how cheaply it can rebalance load.
The 50 records in scope are not evenly spread. A small group of enterprise software and telecom-infrastructure filers account for the bulk of activity, and the technology classification is dominated by one IPC subclass, which tells a reader more about where claim space is occupied than about where the underlying engineering problems remain open.
Let an AI agent run this analysis on your own technology
Pick a task. Every answer cites the patents behind it.
Filing trend and technology composition
Two views of the same 50-record dataset: filing activity by year, and the IPC subclasses those records carry. Because a single record can carry more than one classification code, the subclass shares below add to more than 100% of the record total.
Filing activity, 2017-2026
Filings begin in 2017 at 1 record and rise unevenly through the period, peaking so far at 4 records in 2025. The 2021-to-2024 span, the most recent stretch with complete publication, shows a decline from 3 to 2 filings (-33%) — read the 2025-2026 uptick with caution, since publication lags filing by roughly 18 months and those years are still filling in.
IPC subclass composition
G06F (electric digital data processing) covers 84.0% of the 50 records, confirming that most claims are drafted as general-purpose computing and data-processing mechanisms rather than domain-specific applications. H04L (digital transmission) and G06N (AI-model computing) each cover a modest share, 10.0% and 8.0% respectively, while healthcare-adjacent classes A61B, A61M and G16H each appear in just 2.0% of records — a sign that stream-state techniques have barely been claimed against medical or bodily-fluid monitoring use cases.
Shares are the percentage of the 50 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Stateful Stream Operators with Eureka
This page is one run against one query. Ask Eureka your own question about stateful stream operators and every answer comes back with the patent numbers behind it.
Try EurekaRepresentative and most-cited records
Adaptive incremental checkpointing for data stream processing applications (US9471438B1)
A system, method and computer program product for adaptive incremental checkpointing an operator state in a streaming application. The system and method enable reduced costs of checkpointing an operator state in a streaming application, by logging updates to operator state and checkpointing operator state in either base (full state) or delta (logged updates) form, dynamically and adaptively adjusting checkpointing options, and maintaining dependencies between checkpoints to allow automatic restoration and checkpoint recycling.Filed by International Business Machines Corporation, published 2016-10-18 — an early, heavily-structured claim on the base/delta checkpoint distinction that later filings in this dataset have had to route around.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20100293532A1 | Failure recovery for stream processing applications | 176 |
| 2 | US20170116210A1 | Event batching, output sequencing, and log based state storage in continuous query processing | 95 |
| 3 | US20250259041A1 | Ai agent decision platform with deontic reasoning | 61 |
| 4 | US8315990B2 | Consistency sensitive streaming operators | 58 |
| 5 | US20090125635A1 | Consistency sensitive streaming operators | 51 |
| 6 | US20250259082A1 | Ai agent decision platform with deontic reasoning and quantum-inspired token management | 47 |
| 7 | US9116835B1 | Method and apparatus for estimating cerebral cortical source activations from electroencephalograms | 46 |
| 8 | US20170116089A1 | Event batching, output sequencing, and log based state storage in continuous query processing | 32 |
| 9 | US20120331333A1 | Stream Data Processing Failure Recovery Method and Device | 30 |
| 10 | US8949801B2 | Failure recovery for stream processing applications | 25 |
Citation counts favour older records simply because they have had longer to accumulate citations inside the searched corpus — treat them as a signal of influence on later filings, not as a measure of current commercial importance.
Each row carries its publication number; clicking a row searches Eureka by that number.
Put your own technology through the same analysis
Eureka on the web
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 →MCP server & REST API
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 →What the concentration and citation data mean for filing strategy
Three patterns matter more than the raw counts: how tight the leadership is, how citation weight is distributed, and how thin the technology spreads beyond core data processing.
A short list of repeat filers controls most of the record base
The leader alone holds 15 of the 50 records, and the top 5 combined reach 78.0% of all records in scope; the top 10 reach 94.0%. A new entrant filing broad operator-state claims is filing directly into ground the leaders already occupy.
Influence sits with early recovery-and-consistency filings
The most-cited record in the dataset, on failure recovery for stream processing applications, carries 176 citations — far ahead of the next tier. That gap reflects age and foundational scope more than present-day relevance, since older records have simply had longer to be cited.
Claims are drafted as general computing mechanisms, not vertical applications
With G06F present in 84.0% of records and healthcare-adjacent classes each at just 2.0%, the field's claim language stays close to core data-processing infrastructure. Vertical applications of stateful stream techniques remain lightly claimed.
Co-filing is limited and clustered around individual inventors
Only 6 co-assignee pairs appear in the dataset, with the strongest repeated pairing centred on a small group of named inventors rather than cross-company joint filings. Collaboration between competing assignees is effectively absent from this record set.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to stateful stream operators, with the prior art for and against each one.
Assignee landscape and where activity is thinning
The ranking covers 17 companies — the whole set the data endpoint returns for this search, not a top-50 or top-100 cut. Activity concentrates hard at the leader position, and momentum in the most recent tracked year has gone quiet across the ranked group.
One filer holds nearly a third of the dataset
The top-ranked assignee holds 15 of the 50 records in scope, well ahead of fifth place at 3 records. That gap is the clearest single signal in the ranking: this is a leader-and-field structure, not an evenly split market.
A cluster of enterprise and telecom filers holds the middle tier
Fifth place sits at 3 records, and the top 10 combined reach 94.0% of all records — leaving only a handful of records spread across the remaining ranked companies, several with a single filing each.
The largest filers show no publications in the most recent tracked year
Every one of the leading assignees checked for recent-year momentum shows zero publications in the latest year — consistent with publication lag rather than a real pullback, since 2025-2026 filings are still working through the roughly 18-month publication delay.
| Assignee | Recent year | YoY |
|---|---|---|
| Ab Initio Technology LLC | 0 | — |
| Oracle International Corporation | 0 | — |
| Telefonaktiebolaget LM Ericsson (publ) | 0 | — |
| Microsoft Technology Licensing, LLC | 0 | — |
| International Business Machines Corporation | 0 | — |
| Twilio Inc | 0 | — |
| Hitachi, Ltd. | 0 | — |
| Microsoft Corporation | 0 | — |
Where to take this analysis
The dataset points to a concentrated field with a specific technical core. The next steps depend on whether the goal is freedom-to-operate, portfolio building, or scouting adjacent white space.
Map claims against the leader's granted set
With one assignee holding 15 of 50 records, a freedom-to-operate review should start by mapping any planned checkpoint or partitioning mechanism against that portfolio specifically, not the field average.
Explore claim charts in EurekaTest draft claims against the under-claimed branches
State partitioning for telemetry and TTL-based checkpoint policy show thin coverage in this dataset; drafting a first claim there carries less prior-art risk than filing directly against core G06F checkpointing mechanisms.
Run a white-space search in EurekaTrack the 2025-2026 filings as they mature
The most recent two years are still filling in under normal publication lag. Revisiting the trend once 2025 fully publishes will show whether the 2021-2024 decline reversed or continued.
Set up a filing alert in EurekaCommon questions about the stateful stream operator patent landscape
The ranking covers 17 companies, and it is heavily front-loaded: the leading assignee alone holds 15 of the 50 records in scope, and the top 5 combined account for 78.0% of all records. Filers in this space include enterprise data infrastructure vendors, major cloud and software licensing companies, and telecom equipment makers. Because the field is this concentrated, a new filer's practical competitive set is really just the handful of companies at the top of the ranking, not the full list of 17.
Filing activity is uneven rather than steadily rising or falling. Using the most recent complete years, 2021 to 2024, filings dropped 33% from 3 to 2 records. The 2025 figure shows a peak of 4, but publication lags filing by roughly 18 months, so the 2025-2026 numbers are still incomplete and should not yet be read as a trend reversal.
The large majority of records, 84.0% of the 50 in scope, carry the G06F classification for electric digital data processing, meaning most claims are framed as general computing mechanisms rather than industry-specific applications. Digital transmission (H04L) and AI-model computing (G06N) appear in smaller shares, 10.0% and 8.0% respectively. Healthcare-adjacent classes such as diagnosis, body-fluid devices and healthcare informatics each appear in only 2.0% of records, indicating that vertical applications of stream-state techniques remain thinly claimed.
US9471438B1, filed by International Business Machines Corporation and published in 2016, claims a method for adaptively choosing between full-state and delta-form checkpoints and for managing dependencies between those checkpoints so a system can restore automatically and recycle old checkpoints. Anyone building a checkpointing mechanism that dynamically switches between base and incremental snapshot forms, and that tracks checkpoint dependencies for restoration, needs to check their implementation against this claim structure specifically. It does not block every form of incremental checkpointing — only the adaptive base/delta switching and dependency-tracking approach it describes.
The IPC composition points to two thin areas: applications of stream-state techniques outside general computing, such as medical telemetry or IoT-adjacent monitoring, and rescaling or checkpoint policy work framed against AI-model workloads specifically, since G06N appears in only 8.0% of the 50 records. Co-assignee filing is also limited to just 6 pairs in the dataset, suggesting little cross-company collaboration and room for a first-mover claim in a defined niche rather than a broad architectural one, which is more likely to run into the leader's existing portfolio.
Research Stateful Stream Operators in depth with Eureka
Go past this page: query the whole stateful stream operators corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
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.