Embedding Model Training Patents: Who Leads, Trends 2026
Embedding Model Training Patents: Filing Trends and Where the Field Is Still Open
Filings nearly tripled in three years. 2021 to 2024 growth of +179%, from 130 to 363 records, before the most recent two years understate true activity due to publication lag. Filings rose from 12 in 2017 to a peak of 423 in 2025, with 2021-2024 alone showing +179% growth (130 to 363 records). Treat 2025 and 2026 as undercounts: publication lags filing by roughly 18 months, so the most recent years will keep filling in as more applications publish.
- 1MICROSOFT TECHNOLOGY LICENSING LLC4.6%
- 2INSITRO INC4.2%
- 3GOOGLE LLC3.1%
- 4ADOBE INC2.6%
- 5INTERNATIONAL BUSINESS MACHINE CORPORATION2.4%
See the full embedding model training 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 embedding model training patents
Who holds the most patents in embedding model training?
The leading assignee in this dataset holds 72 of the 1,562 records in scope, with fifth place at 37 and tenth place at 21. That gap between first and fifth place shows a real but modest lead rather than dominance, since the top 5 combined only reach 16.9% of all records. Anyone doing freedom-to-operate work here should treat the leader’s portfolio as important but not as a single blocking gatekeeper across the whole field.
Is the embedding model training patent field growing?
Yes, sharply: filings rose from 130 records in 2021 to 363 in 2024, a +179% increase over that three-year span, with a peak of 423 published records in 2025. Because patent publication typically lags filing by around 18 months, the 2025 and 2026 figures are still incomplete and will revise upward as more applications publish. The safest complete-year comparison currently available is 2021 to 2024.
What technology areas dominate embedding model training patents?
General digital data processing (IPC class G06F) appears in 47.1% of the 1,562 records, and AI-based computing (G06N) in 40.3%, showing most claims are written as reusable computing infrastructure rather than tied to one application. Image and video recognition (G06V) and image data processing (G06T) form a secondary cluster at 19.5% and 13.9% respectively. Healthcare informatics and business data processing appear as applied verticals but at lower shares, around 9% and 8.6%.
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 Embedding Model Training 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.