Synthetic Data Generation Patents: Leaders & Filing Trends 2026
Synthetic Data Generation Patents: Who Holds the Claims and Where They Thin Out
25.8% concentration at the top. The five most active filers combined hold 158 of 613 records in scope, but the remaining share spreads across a long tail of single- and few-filing entrants. Filings rose from zero recorded activity in 2017 to a peak of 154 in 2025, with growth of 64% between 2021 (56) and 2024 (92) — the last window not distorted by publication lag. 2025 and 2026 figures will continue to fill in as later publications post.
- 1NVIDIA CORP8.3%
- 2FIGURE AI INC6.2%
- 3GOOGLE LLC3.9%
- 4D5AI LLC3.8%
- 5REGENERON PHARMACEUTICALS INC3.6%
See the full synthetic data generation 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 synthetic data generation patents
Who are the leading patent holders in synthetic data generation?
The dataset’s ranking is led by a single assignee with 51 records, well ahead of the fifth-place filer at 22. The top five combined hold 158 of 613 records in scope, or 25.8%, while the top ten hold 37.4%. That leaves the majority of records spread across a long tail of filers with single-digit counts, so no one company controls the field outright.
Is the synthetic data generation patent field growing or slowing down?
Filings grew 64% between 2021 (56 records) and 2024 (92 records), the last window that can be read as materially complete. Later years, including the reported 2025 peak of 154, will continue to be revised upward as more filings publish, since publication typically lags filing by about 18 months. Read any apparent recent-year decline with that lag in mind rather than as a genuine slowdown.
Which patent classes cover the most synthetic data generation filings?
G06N, covering AI-model-based computing, appears in 51.5% of the 613 records in scope, making it the dominant classification. G06T (image data processing, 26.8%) and G06F (digital data processing, 24.3%) follow. Because a single record can carry multiple IPC classes, these percentages add up to more than 100% and should not be read as mutually exclusive shares of the dataset.
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 Generation 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.