Synthetic Data Patents: Who Leads and Where the Claim Space Is Still Open
16.0% concentration at the top. The five leading filers account for 4,013 of the 25,091 records in scope — real concentration, but not a lockout: 84% of filings sit outside that group. Published filings climbed from 379 in 2017 to a peak of 4,071 in 2024 — a +98% rise from the 2,059 recorded in 2021 alone. The 2025 and 2026 figures (down to 348 in the partial 2026 year) should be read as incomplete rather than as a downturn, since publication lag has not yet caught up.
- 1NVIDIA CORP7.7%
- 2GOOGLE LLC3.6%
- 3CAPITAL ONE SERVICES LLC1.9%
- 4MICROSOFT TECHNOLOGY LICENSING LLC1.4%
- 5QUALCOMM INC1.3%
See the full synthetic data patent landscape 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
Frequently asked questions
Who holds the most synthetic data patents?
One assignee leads the ranked field with 1,938 records, well ahead of the fifth-ranked filer's 333 and the tenth-ranked filer's 257. The top five assignees combined hold 4,013 records, 16.0% of the 25,091 records in scope, which means the field is led by one company but not controlled by a small clique. The remaining 84% of filings are spread across a long tail of companies and individual filers, so a freedom-to-operate review needs to look well past the leaderboard.
Is the synthetic data patent field still growing?
Published filings rose from 2,059 in 2021 to a peak of 4,071 in 2024, a +98% increase over that span, which is the most recent period that can be treated as complete. Counts for 2025 and 2026 appear lower, but that is expected: publication lags filing by roughly 18 months, so recent years are always undercounted at the point of measurement. Judged on the last complete year, 2024, the field was still expanding, not contracting.
What patent classes cover synthetic data generation?
The largest shares sit in G06N (AI-based computing, 28.9% of the 25,091 records), G06F (electric digital data processing, 24.2%) and G06T (image data processing and generation, 19.4%). Smaller but meaningful shares appear in G06Q (business and commerce data processing), H04L (digital information transmission) and G16H (healthcare informatics), showing synthetic data techniques being claimed well outside core AI model architecture. Because a single record can carry several IPC codes, these percentages add to more than 100% and should not be summed into a single total.
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 Synthetic Data Patent Landscape covering 2015–2026, data cut-off 2026-08-31. 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.