What Did The Patent Landscape of NVIDIA Corp. Look Like?
NVidia’s Profile
NVIDIA Corporation is an American multinational technology company that designs graphics processing units (GPUs) and system-on-a-chip units (SoCs). The company was founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem, and is headquartered in Santa Clara, California, United States.
NVIDIA’s products are used in a wide range of applications such as gaming, professional visualization, data centers, and automotive. The company is widely recognized as a leader in the GPU industry, and its products are used by millions of people around the world. Â
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Quantifying NVidia Patents
As of the end of 2023, NVidia’s patent portfolio is remarkable, boasting 2139 active patent families globally. This portfolio also includes 1044 patent families that are no longer active and 576 pending patent families.
These numbers highlight NVidia’s significant role in the tech industry, showcasing its vast array of inventions and innovations. With a substantial presence in various countries around the world, NVidia’s demonstrates its widespread influence and commitment to advancing technology on a global scale.
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How Many Patents NVidia Have?
This Pie Chart Shows the number of active, pending and dead patents.
NVidia have 2139 active, 1044 expired, and 576 pending patents Families.
How Many Patents Did NVidia File Every Year?
How Many NVidia Patents File in Different Countries?Â
NVidia patents are filed in numerous countries, reflecting its international presence and the strategic importance of protecting its inventions across the globe. The NVidia countries list 2023 includes major markets where NVidia operates and maintains its technological leadership.Â
IPC Classification Wise Patent Trends by Technology Domain
IPC Classification | Category |
Arrangements for program control, e.g. control units  | (G06F9) |
Computer systems based on biological models  | (G06N3) |
3D [Three Dimensional] image rendering  | (G06T15) |
General purpose image data processing  | (G06T1) |
Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements  | (G06F3) |
Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators  | (G09G5) |
Details not covered by groups and G06F3/00-G06F13/00 G06F21/00Â Â | (G06F1)Â |
Accessing, addressing or allocating within memory systems or architectures  | (G06F12) |
Image analysis  | (G06T7) |
Interconnection of, or transfer of information or other signals between, memories, input/output devices or central processing units  | (G06F13) |
Nvidia patents are diverse, covering a range of IPC classifications from Arrangements for program control (G06F9) to Interconnection of, or transfer of information or other signals between, memories, input/output devices or central processing units (G06F13). Statistics from Nvidia indicate that the company not only addresses present technological requirements but also sets the stage for future innovations.
Emerging Trends in NVidia Technology: A Comparative View
Feature | G06F9 (Digital signal processing) | G06T7 (Machine learning, image processing) | G06F13 (Encryption, authentication) |
Focus of Innovation | Algorithms for signal processing, compression, filtering | Machine learning algorithms for image/video analysis, computer vision | Cryptographic algorithms, key management, secure communication |
Key Technological Advancements | Deep learning for signal processing tasks (e.g., anomaly detection, noise reduction), Hardware acceleration for signal processing (e.g., DSPs, AI accelerators), Signal processing for emerging applications (e.g., IoT, 5G) | Generative models for image/video creation (e.g., GANs), Explainable AI (XAI) for image analysis, Advanced object recognition and tracking | Post-quantum cryptography (PQC) algorithms, Homomorphic encryption for secure computation, Blockchain-based authentication and authorization |
Top Patent Filing Subcategories | Deep learning for signal processing, Hardware acceleration for DSP, Signal processing for IoT/5G | Generative models for image/video, Explainable AI for image analysis, Object recognition and tracking | Post-quantum cryptography (PQC) algorithms, Homomorphic encryption, Blockchain-based authentication |
Impact on Industries | Telecommunications, audio/video processing, medical imaging, radar/sonar applications | Autonomous vehicles, medical diagnosis, security/surveillance, robotics, AR/VR | Cybersecurity, financial services, cloud computing, e-commerce, government applications |
Projected Future Trends | Convergence of AI and signal processing for intelligent systems, Increased focus on low-power and edge signal processing, Signal processing for next-generation communication networks (e.g., 6G) | Integration of AI with computer vision for real-world applications, Development of more robust and efficient deep learning models for image/video tasks, Explainable AI becoming crucial for trust and adoption | Standardization of PQC algorithms for widespread adoption, Advancements in quantum-resistant key management, Secure multi-party computation (MPC) for privacy-preserving data analytics |
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Comparing different aspects of Nvidia patents, Digital signal processing, Machine learning, image processing and Encryption, authentication, highlights the company’s foresight in areas like machine learning and quantum computing. These trends are indicative of where Nvidia inventions are steering the future of technology.
Notable Publications and Citation Frequency
The Chart below depicts the patents with most number of forward citations. These patents are likely to be the source of advancement in the domain and can be considered as valuable and core inventions.Â
Conclusion
Nvidia’s patent landscape analysis up to 2023 reveals the company’s unwavering commitment to innovation across the tech spectrum, boasting a vast portfolio of 3,759 patent families. This commitment is evidenced by their strategic patent filings in crucial areas such as deep learning, autonomous vehicles, and scientific research. Nvidia’s patents not only demonstrate the company’s significant contributions to the semiconductor industry but also its role in pioneering future computing technologies.Â
Looking forward, Nvidia’s focus on emerging computing trends—such as digital signal processing, machine learning, and encryption authentication—highlights its role in shaping the technological future. The strategic direction of its patents underscores Nvidia’s preparedness to address evolving technological demands while laying the groundwork for breakthroughs that promise to redefine the landscape of computing and technology.Â
Note: This Data is extracted from 2013 to 2023 and on the basis of patent Families.
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