Face Recognition Patents: Who Leads, Where the Gaps Are 2026
Face recognition patents: mapping who holds the claim space and where it is still open
Filing is concentrated but not locked up. the top 5 assignees hold 16.8% of all 1,318 records in scope, and the top 10 hold 26.5% — a leader plus a long tail, not a monopoly. Filings climbed from 59 in 2017 to a peak of 119 in 2021, then fell to 52 by 2024 — a -56% change over that span. 2025 and 2026 figures are still filling in as publications catch up with filing dates, so treat the tail of the chart as a floor, not a ceiling.
- 1HUAWEI TECH CO LTD4.0%
- 2GOOGLE LLC3.7%
- 3AWARE INC3.1%
- 4TENCENT TECHNOLOGY (SHENZHEN) CO LTD3.1%
- 5NEC CORP2.9%
See the full face recognition 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 about face recognition patents
Who holds the most face recognition patents?
Within this dataset of 1,318 records, filing is led by a single assignee with 53 records, followed by a group that brings the top 5 to a combined 16.8% share of all records in scope. The top 10 assignees together account for 26.5%. That leaves the majority of filings spread across a long tail of companies and individual inventors with only a handful of records each, so no single player controls the field outright.
Is face recognition patent filing growing or slowing down?
Filing peaked in 2021 at 119 records and fell to 52 by 2024, a -56% change over that three-year span. However, patent publication typically lags actual filing by around 18 months, so the apparent drop in 2025 and 2026 figures partly reflects records still working through the pipeline rather than a confirmed slowdown. The safest read is that 2021-2024 shows a real pullback from a filing peak, while the very latest years remain incomplete.
What technology areas do face recognition patents cover most?
The dominant IPC classes are G06K (data recognition and presentation), covering 56.8% of the 1,318 records, and G06V (image and video recognition), covering 41.0%. Image data processing (G06T), general digital data processing (G06F) and AI-based computing (G06N) each appear in roughly a quarter of records. Business-process applications under G06Q are comparatively rare at 2.9%, suggesting most claim activity sits at the technical recognition layer rather than the commercial application layer.
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 Face Recognition 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.