Large Scale Embedding Systems Patents: Who Leads, Trends 2026
Large Scale Embedding Systems Patents: Filing Trends and Who Leads
Concentrated at the top. The top 5 assignees hold 82.2% of all 45 records in scope, with the ranked leader alone at 18 filings. Filings ran from 4 in 2017 to a peak of 15 in 2025 before falling to 0 in 2026; treat 2025 and 2026 as undercounted because publication lags filing by roughly 18 months. The only complete-year comparison the data supports is 2021 to 2024, where filings fell from 3 to 2, a 33% drop — a cooling signal, not a collapse, given how few years are in play.
- 1INTEL CORP40.0%
- 2UNIFABRIX LTD22.2%
- 3HUAWEI TECH CO LTD8.9%
- 4META PLATFORMS INC6.7%
- 5KOREA ADVANCED INST OF SCI & TECH4.4%
See the full large scale embedding systems 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
Who holds the most patents in large scale embedding systems?
One assignee leads with 18 of the 45 records in scope, well ahead of the rest of the ranked field. The top 5 assignees combined hold 82.2% of all records, so filing activity is heavily concentrated rather than spread evenly. Anyone assessing freedom to operate in this space should start with that leader’s claims specifically before looking at the remaining ten ranked companies.
Is patent filing in large scale embedding systems growing or slowing?
The only complete year-over-year comparison the data supports is 2021 to 2024, where filings fell 33%, from 3 to 2. Filing counts rose after that to a peak of 15 in 2025, but 2025 and 2026 are both still filling in because publication typically lags actual filing by about 18 months. The honest read is a field that cooled through its last complete year, with the more recent apparent rebound still unconfirmed.
What technology areas do these patents cover?
Most records classify under G06N (AI-model computing, 66.7% of the 45 records) and G06F (electric digital data processing, 64.4%), reflecting a systems-and-compute framing of embedding table and parameter server problems. G06T (image data processing) appears on 35.6% of records, likely tied to embedding use in vision-adjacent recommender pipelines. Digital transmission (H04L) and business-process classes (G06Q) are each claimed on 4.4% or less of records, marking them as comparatively open ground.
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 Large Scale Embedding Systems 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.