Quantization Aware Training Patents: Top Companies & Trends 2026
Quantization Aware Training Patents: Who Leads and Where Filings Are Headed
One filer holds 20 of 58 records, and the top 5 assignees together account for 69.0% of all records in scope — a field concentrated at the top with a long tail below it. Annual filings were effectively at zero through 2017 and climbed unevenly to a peak of 17 records in 2024. The three-year run from 2021 (6 records) to 2024 (17 records) marks the field's clearest growth phase, a +183% rise. Because publication trails filing by roughly 18 months, 2025 and 2026 are still filling in and should not be read as a slowdown.
- 1QUALCOMM INC20
- 2UNIV OF MIAMI7
- 3SAMSUNG ELECTRONICS CO LTD6
- 4LIGHTMATTER INC4
- 5MULTICOM TECH INC3
See the full quantization aware training 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 quantization aware training patents
Who holds the most patents in quantization aware training?
In this dataset of 58 records, one assignee holds 20 records, well ahead of the next closest filers. The top five assignees together account for 69.0% of all 58 records in scope, and the top ten reach 86.2%, which means the field is concentrated at the top with a long tail of smaller filers below it. Anyone assessing freedom to operate should start with the leading few assignees before looking at the rest of the ranked list.
Is quantization aware training patent activity growing or slowing down?
Filings grew from 6 records in 2021 to 17 in 2024, a rise of 183% over three years and the field’s peak year recorded so far. Counts for 2025 and 2026 appear lower only because publication lags filing by roughly 18 months, not because activity has actually dropped. Based on the 2021-2024 trend, this remains an actively expanding filing area rather than a mature or slowing one.
What patent classes cover quantization aware training?
Almost nine in ten records, 89.7% of the 58 in scope, fall under G06N, the class for AI computing methods, which shows most filers treat this as an algorithmic contribution. Smaller shares sit in G06F and G06V, both at 12.1%, and even thinner slices appear in A61F, G05B, G06K, H04L and A61B. Because a single record can carry multiple IPC codes, these shares add up to more than 100%, and that overlap is expected.
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 Quantization Aware Training 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.