Event-Based and Neuromorphic Vision Sensor Patents
67.6% concentration. The top 5 of 56 ranked assignees hold 257 of 380 records in scope — a field with a narrow set of entrenched filers rather than a broad open race. Filings rose from 29 in 2017 to a peak of 82 in 2021, then declined to 45 by 2024 — a 45% fall over that three-year window. That is the last year the dataset can treat as complete; 2025 and 2026 figures will keep rising as publications catch up, so the recent dip should not be read as the field cooling.
- 1MAGIC LEAP INC157
- 2SONY ADVANCED VISUAL SENSING AG32
- 3UNIVERSITY OF ZURICH27
- 4SAMSUNG ELECTRONICS CO LTD23
- 5SONY SEMICON SOLUTIONS CORP18
See the full event based and neuromorphic vision sensors 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 this landscape
How many companies hold patents on event-based and neuromorphic vision sensors?
The assignee ranking for this dataset returns 56 companies across 380 published records. Filing is concentrated, however: the top 5 assignees alone hold 257 records, or 67.6% of the total, and the top 10 hold 83.9%. That leaves a long tail of the remaining 46 ranked companies with comparatively few filings each, so a new entrant is competing against a small entrenched group rather than a broad flat field.
Is event-based vision sensor patent filing still growing?
Filings rose steadily from 29 in 2017 to a peak of 82 in 2021, then fell to 45 by 2024, a 45% decline over that three-year span. That said, publication typically lags filing by around 18 months, so 2025 and 2026 figures in any dataset are still incomplete and should not yet be read as a genuine slowdown. The more reliable read is that growth plateaued among the largest incumbents after 2021 rather than that the field is shrinking.
What technology areas do event-based vision sensor patents actually claim?
The largest share of the 380 records, 61.3%, falls under G06T (image data processing and generation), followed by H04N (pictorial communication) at 38.2% and G06F (electric digital data processing) at 26.6%. Classes tied more directly to sensor hardware and optics, such as G02B, appear in only 6.1% of records. This means most of the claim density sits in how event data is processed and interpreted downstream, not in the physical sensor or optical design itself.
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 Event Based and Neuromorphic Vision Sensors 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.