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What Nvidia is patenting — and where it isn't

Portfolio archetype: Dominant · accelerating · 11,835 US patents.

Covers 4 entities: NVIDIA CORPORATION, NVIDIA CORP, NVIDIA TECHNOLOGY UK LIMITED, NVIDIA. US-only.

Total US patents11,835
Granted / Applications5,690 / 6,145
Estimated in force10,829
Filing span1996–2025
Filing momentumaccelerating — recent-window filings ~277% of the prior window
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Where they focus

Digital Computing G06F · 3,586
Image Processing G06T · 2,479
AI & Machine Learning G06N · 864
Video & Imaging H04N · 678
Data Networking H04L · 643
Computer Vision G06V · 521

Closest competitors

Top other assignees in this portfolio's main technology areas. Raw assignee names — a single company may appear under several name-variants.

AssigneeAreas of activityUS patents
INTERNATIONAL BUSINESS MACHINES CORPORATIONDigital Computing · AI & Machine Learning · Image Processing126,844
SAMSUNG ELECTRONICS CO LTDDigital Computing · Image Processing · AI & Machine Learning36,014
MICROSOFT CORPORATIONDigital Computing · Image Processing · AI & Machine Learning31,136
INTEL CORPORATIONDigital Computing · Image Processing · AI & Machine Learning29,592
MICROSOFT TECHNOLOGY LICENSING LLCDigital Computing · AI & Machine Learning · Image Processing26,141
APPLE INCDigital Computing · Image Processing · AI & Machine Learning20,537
CANON KABUSHIKI KAISHADigital Computing · Image Processing · AI & Machine Learning18,031
FUJITSU LIMITEDDigital Computing · AI & Machine Learning · Image Processing17,366

Strategic read

For a competitor

The wall sits squarely in Digital Computing (G06F), where 3,586 patents anchor an 11,835-patent portfolio, with secondary density in Image Processing (G06T) at 2,479 and AI & Machine Learning (G06N) at 864. Filings are accelerating—the recent window runs at roughly 277% of the prior one—so freedom-to-operate clearance in compute, imaging, and machine-learning pipelines should account for a fast-growing thicket rather than a static set, including the 6,145 pending applications whose final claim scope is not yet fixed. The competitive neighborhood is crowded with large filers including Intel and Microsoft, so map overlap by specific CPC subclass rather than by headline count.

For an acquirer

Diligence should focus on the concentration in Digital Computing (G06F), 3,586 patents, and Image Processing (G06T), 2,479, which together account for the bulk of an established, substantial portfolio spanning 1996–2025. Roughly 10,829 of 11,835 assets are estimated in force and 6,145 are still pending, so examine the prosecution pipeline and the likely claim scope of those applications, since they carry forward an accelerating filing trend at about 277% of the prior window. The modest age-biased citation-impact share (0.102) warrants checking how impact distributes across the older granted core versus the recent surge before drawing conclusions about quality.

For a licensee

For licensees in compute and graphics, relevance concentrates in Digital Computing (G06F), 3,586 patents, and Image Processing (G06T), 2,479, with a growing AI & Machine Learning (G06N) cluster at 864 reflecting the accelerating recent filings. The breadth across Video & Imaging (H04N), Data Networking (H04L), and Computer Vision (G06V)—each in the 500–700 range—means relevant coverage likely extends beyond a single product line. Identify which specific subclasses touch your roadmap, and note that 6,145 pending applications could expand the licensable footprint over time.

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