Neuromorphic Computing Patents: Top Companies & Filing Trends 2026
Neuromorphic Computing Patents: Who Leads and Where the Filing Concentrates
77.3% of all 5,042 records sit with just five assignees, and 85.8% with ten — this field is unusually concentrated for a computing sub-domain still this young. Annual filings rose from 71 in 2017 to a peak of 924 in 2021, then declined to 497 by 2024 — a -46% move over that three-year span. 2025 and 2026 figures are still incomplete due to the roughly 18-month lag between filing and publication, so the recent-year dip should not be read as the field cooling.
- 1PURE STORAGE INC31.8%
- 2NVIDIA CORP29.7%
- 3INTEL CORP7.1%
- 4STRONG FORCE IOT PORTFOLIO 2016 LLC5.7%
- 5STRONG FORCE VCN PORTFOLIO 2019 LLC3.0%
See the full neuromorphic computing 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
Common questions about the neuromorphic computing patent landscape
How concentrated is the neuromorphic computing patent landscape?
It is highly concentrated: the top five assignees hold 3,898 of the 5,042 records in scope, which is 77.3% of the field, and the top ten hold 85.8%. That means the vast majority of prior art relevant to a freedom-to-operate review sits with a small number of companies rather than being spread across many competitors. A new entrant doing clearance work should prioritise those leading portfolios before running a broader search across the full ranked list of 100 companies.
Is neuromorphic computing patent filing growing or slowing down?
Filings rose sharply to a peak of 924 in 2021, then fell to 497 by 2024, a documented -46% change over that span. However, because patent publication typically lags filing by around 18 months, the 2025 and 2026 figures in any dataset are still incomplete and will revise upward over time. The honest read is that filing activity has cooled from its 2021 high, not that the technology is being abandoned.
What patent classes cover neuromorphic computing inventions?
The largest classes are G06F (electric digital data processing), covering 54.9% of the 5,042 records, and G06N (computing based on AI models), covering 38.0%. Smaller but meaningful shares appear in H04L (digital information transmission, 16.6%), G06T (image data processing, 12.7%), G06K (data recognition, 8.0%), G05B (control systems, 8.0%), G06V (image/video recognition, 7.6%) and G06Q (business data processing, 6.5%). Because a single record can carry several classes, these percentages add up to more than 100% and should not be summed.
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 Neuromorphic Computing 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.