AI Accelerators Patents: Who Leads, Where the Gaps Are 2026
AI Accelerator Patents: Filing Trends, Leaders and Open Claim Space
56.1% concentration. The top five assignees alone account for 6,123 of the 10,910 records in scope — over half the entire field sits with a handful of filers. Filings climbed from 98 in 2017 to a peak of 2,200 in 2024, with 2021's 1,318 rising to that 2024 peak — a +67% increase over three years. 2025 and 2026 figures (339 so far in 2026) will keep revising upward as publication catches up with filing, typically an 18-month lag, so treat the most recent two years as undercounts rather than a slowdown.
- 1SAMSUNG ELECTRONICS CO LTD23.0%
- 2QUALCOMM INC20.8%
- 3INTEL CORP6.5%
- 4HUAWEI TECH CO LTD3.2%
- 5SEMICON ENERGY LAB CO LTD2.6%
See the full ai accelerators 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 AI accelerator patents
Who are the leading patent holders in AI accelerators?
The assignee ranking in this dataset is led by a single company holding 2,509 of the 10,910 records in scope, well ahead of the fifth-ranked assignee at 286 and the tenth-ranked at 142. The top five assignees combined hold 56.1% of all records, and the top ten hold 63.4%, so the field is concentrated rather than evenly spread. Beyond the leaders, a long tail of companies each hold a small number of filings, which is typical of a fast-growing hardware-and-software field still attracting new entrants.
How fast are AI accelerator patent filings growing?
Filings rose from 1,318 in 2021 to a peak of 2,200 in 2024, a growth of 67% over that three-year span, and 2024 is the most recent year that can be treated as complete. Figures for 2025 and 2026 appear lower, but that reflects the roughly 18-month lag between filing and publication rather than an actual slowdown. Anyone reading a recent-year dip in this space should wait for later publication rather than concluding the technology has plateaued.
What technology areas dominate AI accelerator patent claims?
Classification data shows G06N (computing arrangements based on AI models) as the largest category at 37.8% of the 10,910 records, followed by G06F (electric digital data processing) at 31.0% and G06T (image data processing) at 14.9%. Because a single patent can carry multiple IPC classes, these percentages overlap rather than summing to 100%. The pattern indicates that claim density sits heavily in model-level computing and data processing, not solely in chip architecture.
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 AI Accelerators 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.