Distributed Inference Partitioning Patents: Top Filers & Trends 2026
Distributed Inference Partitioning Patents: Who Leads and Where the Claims Sit
Filing jumped 525% from 2021 to 2024, rising from 8 to 50 records a year before publication lag starts understating the most recent filings. Annual filings moved from 0 in 2017 to a peak of 55 in 2025, with growth from 2021's 8 records to 2024's 50 marking a +525% rise over that span. 2025 and 2026 figures will keep rising as publication catches up, so treat the most recent two years as a floor, not a ceiling.
- 1ARMADA SYST INC41
- 2AVAGO TECHNOLOGIES INTERNATIONAL SALES PTE LTD15
- 3INTERNATIONAL BUSINESS MACHINE CORPORATION14
- 4MICROSOFT TECHNOLOGY LICENSING LLC14
- 5GOOGLE LLC9
See the full distributed inference partitioning analysis in Eureka
- The complete ranking, not just the top five
- Every IPC branch with its share of the corpus
- The most-cited records, and where claim space is still thin
Common questions about this landscape
Who holds the most patents in distributed inference partitioning?
One assignee leads the ranked field with 41 of the 193 records in scope, and the top 5 assignees combined account for 48.2% of all records. That leaves a long tail of 75 further ranked companies each holding comparatively few filings. This concentration pattern means the core placement and partitioning mechanics are well-claimed by a small group, while more specific implementations remain open to a wider set of filers.
How fast is patent filing growing in this space?
Filings rose from 8 in 2021 to 50 in 2024, a documented +525% increase over that three-year span, with a peak so far of 55 records in 2025. Because publication lags filing by roughly 18 months, the 2025 and 2026 figures will likely rise further as more filings from those years are published. The trend so far shows sustained acceleration rather than a plateau.
What technology areas do these patents actually cover?
Most records sit in G06F (electric digital data processing, 52.3% of the 193 records) and G06N (AI-model computing, 51.3%), reflecting a focus on compute and model-architecture aspects of partitioning. H04L (digital transmission) covers a smaller 27.5% share, and smaller classes like G06Q, H04W, H04B, G06T and G08G each cover single-digit percentages, pointing to niche applications such as traffic control or wireless-specific implementations. Because records can carry multiple IPC classes, these shares add up to more than 100%.
Disclaimer. This analysis is based on Patsnap Eureka data drawn from a limited snapshot of global patent records and is provided for general information and reference only. Patent data carries inherent limitations — recent filings are under-counted because of publication lag, counts may be on a record or family basis, classification and applicant-name data may contain errors or duplicates, and the underlying search query defines the scope shown — so the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing here is an exhaustive prior-art, novelty, freedom-to-operate or validity search, nor does it constitute legal, financial or professional advice, and it should not be relied upon as such. Verify independently and review with qualified patent and legal professionals before acting on it.
Method: Filing trend and technology composition. Derived from a Patsnap search on Distributed Inference Partitioning covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish. Every share divides by all records in scope. Data: Patsnap Eureka. See the full landscape report.