Deep Learning Patents: Top Companies & Filing Trends 2026
Deep Learning Patents: Who Is Filing, and Where the Claim Space Is Still Open
Concentrated but not cornered. the ranked leader holds 33,323 records, yet the top 5 combined are only 13.3% of all 494,414 records in scope — a long tail does most of the filing. Filings rose from 1,060 in 2017 to a peak of 3,042 in 2021, then fell to 1,672 by 2024 — a 45% decline across that three-year window. 2025 and 2026 figures are shown for completeness but understate true filing activity because of publication lag.
- 1SAMSUNG ELECTRONICS CO LTD6.7%
- 2HUAWEI TECH CO LTD1.8%
- 3MICROSOFT TECHNOLOGY LICENSING LLC1.6%
- 4QUALCOMM INC1.6%
- 5INTEL CORP1.5%
See the full deep learning 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 deep learning patent landscape
Who holds the most deep learning patents?
The assignee ranking in this dataset is led by a single company holding 33,323 records, well ahead of the fifth-ranked filer at 7,598. However, the top 5 assignees combined account for only 13.3% of all 494,414 records in scope, and the top 10 combined reach 19.9% — so no single company or small group controls the field. A long tail of filers, many with only a handful of records, makes up the majority of the corpus.
Is deep learning patent filing still growing?
Filing volume peaked in 2021 at 3,042 records and had fallen to 1,672 by 2024, a 45% decline over that span. That said, publication typically lags filing by around 18 months, so the 2025 and 2026 figures in any dataset pulled today are necessarily incomplete and should not be read as proof the field is cooling. The safest read is that filing activity has normalized after the 2021 peak rather than that it is collapsing.
Which technical sub-areas of deep learning have the most patent activity?
Core AI-model computing, classified under IPC subclass G06N, is the largest single category at 2.5% of all 494,414 records. General digital data processing, image data processing, and image/video recognition each sit near 1%, while speech and audio analysis, healthcare informatics and diagnostic-surgical applications are all below 0.5%. Because a single record can carry multiple IPC classes, these percentages should be read individually rather than 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 Deep Learning 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.