Health Data Privacy Patents: Who Leads, Where the Gaps Are 2026
Health data privacy and device security patents: mapping who is claiming consent, de-identification and breach controls
Filing is recent and thin. the trend runs from zero in 2017 to a peak of 16 in 2025, so this is an early-stage claim space, not a mature one. Filings moved from zero in 2017 to a peak of 16 in 2025, with 10 already recorded in 2026 despite the partial year. Growth cannot be reliably rated as a rate yet — there are fewer than four complete years once publication lag is factored in — but the direction from a standing start is clear.
- 1STRONG FORCE TX PORTFOLIO 2018 LLC3
- 2ONMED LLC2
- 3DR R G PADMANABHAN2
- 4STRONG FORCE EE PORTFOLIO 2022 LLC2
- 5VARELA DANIELLE2
See the full health data privacy and device security 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 on this landscape
Who are the leading patent holders in health data privacy and device security?
No single company dominates this dataset. The leading assignee holds just 3 of the 31 records in scope, and the top 5 assignees combined account for only 35.5% of all filings. Filing is spread across 56 ranked assignees, including corporate portfolio entities, universities and individual inventors, so this is best treated as a fragmented field rather than one with a clear incumbent to watch or license around.
Is the health data privacy patent space growing?
Filing activity started from zero as recently as 2017 and reached a recorded peak of 16 in 2025, with 10 more filings already published in 2026 despite that year being incomplete at the data cut-off. A precise growth rate is not reliable here because publication lag of roughly 18 months means fewer than four complete years of data are available, but the trajectory from a standing start is unmistakably upward.
What technology areas do these patents actually cover?
Most filings sit under G16H, healthcare informatics, which appears on 58.1% of the 31 records, followed by G06F electric digital data processing at 45.2%. Roughly a third of records also carry G06N AI-model classes, G06Q business-process classes, or H04L digital transmission classes, meaning many filings combine a privacy or security mechanism with an AI or data-transmission layer rather than claiming privacy controls in isolation.
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 Health Data Privacy and Device Security 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.