Nvidia Statistics

NVIDIA Statistics and Facts


Information and Communication Technology Industry/Brands

  • Type of Business


  • Establishment Year


  • Headquarters

    Santa Clara, California, United States

  • CEO and Key People

    Jen-Hsun Huang (CEO and President), Colette M. Kress (Executive VP and CFO), Ajay K. Puri (Executive VP and Worldwide Field Operations), Debora Shoquist (Executive VP and Operations), Timothy S. Teter(Executive VP, General Counsel and Secretary), and other key peoples.

  • Number of Employees

    ~ 22,473 (Jan 2022)

  • Industry

    Computer Hardware Manufacturing

  • Revenue

    US$ 26,914 million (Jan 2021)

  • Products

    Processors, Cloud gaming, Servers, High performance computing, Graphics processing units (GPUs), Gaming platforms, Virtual computing, and Data center platforms.

  • Brands

    Quadro, GeForce, GRID, Tegra, SHIELD, GTX, DGX, Jetson, EGX, AGX, CUDA, CUDA-X, Mellanox, NGC, and Xavier.

  • Subsidiaries

    Mellanox Technologies Ltd., Parabricks LLC, DeepMap, Cumulus Networks, Icera LLC, Bright Computing Inc., Excelero Inc., Icera Inc., PortalPlayer, Oski Technology Inc., Hybrid Graphics Ltd., and many other subsidiaries.

  • Competitors

    Cisco Systems Inc., Juniper Networks Inc., Arista Networks, Dell Technologies, Extreme Networks, Huawei Technologies Co. Ltd., VMware Inc., Netgear Inc., Pluribus Networks, Alcatel–Lucent S.A, and many other competitors.

  • Website


NVIDIA Statistics: NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and multimedia software. Jen Hsun Huang, Curtis R. Priem, and Chris A. Malachowsky in January 1993 founded the company. It is headquartered in Santa Clara CA. NVIDIA pioneered the use of accelerated computing for solving the most complex computational problems. They have expanded beyond its original focus on PC graphics to include many other computationally important fields. NVIDIA leverages its GPU architecture to provide platforms for scientific computing, AI, data science, and autonomous vehicles, due to the demand for high-quality 3D graphics.

It deals in two segments: Graphics and Compute & Networking. GeForce GPUs and GeForce NOW gaming streaming services, as well as related infrastructure and solutions for gaming platforms, are part of the company’s Graphics segment. They also have Quadro/NVIDIA RTX GPUs for enterprise graphics, virtual GPU (vGPU) software for cloud-based virtual and visual computing, automotive platforms for infotainment, and Omniverse software to create 3D designs, virtual worlds, and other applications. The Computer & Networking Segment includes Data Center platforms, systems for AI and HPC, accelerated computing, Mellanox networks and interconnect options, automotive AI Cockpit and autonomous driving development agreements, as well as autonomous vehicle solutions. Also, cryptocurrency mining processors or CMP, Jetson for robotics, embedded platforms, and NVIDIA AI Enterprise, among other software.

Business Strategy

Advancing the NVIDIA accelerated computing platform:

NVIDIA’s Accelerated Computing Platform can solve complex problems faster than traditional computational approaches and uses less power. It can solve difficult problems previously thought impossible. The company’s goal is to continue to surpass Moore’s Law in performance by using innovation across all layers of architecture, chip design systems, and software. Mellanox’s acquisition strengthened their knowledge of data center architectures and positions them for a future where the data center will be the new unit of computing. They can deliver orders of–magnitude performance benefits relative to legacy methods in our target markets of Gaming, Data Centers, Professional Visualization, and Automotive. Nvidia addresses these diverse computing needs with a unified underlying architecture that uses its GPUs, CUDA, and other building blocks. Because of the fact that architecture is programmable, they are able to make leveraged investments into R&D. With the same underlying technology, they can also support multi-billion-dollar markets by using multiple software stacks created either internally or externally by third-party developers and partners. This platform approach is utilized in all their target markets.

Extending the technology and platform leadership in AI:

Nvidia offers an end-to-end platform for accelerated computing that allows deep learning and machine learning. This includes both inferencing and training. This includes GPUs and interconnects as well as systems, CUDA programming languages, algorithms, libraries, other software, and systems. To further enhance its leadership, the company will continue to build AI-specific features into its GPU architecture. The expanding ecosystem supports the AI technology leadership in a virtuous circle. Virtually every major server manufacturer and cloud service provider has access to their GPU platforms, as well as the AI supercomputer.

Extending the technology and platform leadership in computer graphics:

Computer graphics is essential to the continual expansion and evolution of computing. They use their research and development to improve user experiences for both professional visualization and consumer entertainment applications. Additionally, they create new simulation and virtual world capabilities. Technology is key to driving gaming forward. Developers use the company’s libraries and algorithms for an optimized gaming experience using the GeForce platform. The computer graphics platforms are built on their industry-leading GeForce and NVIDIA GPU RTX GPUs. They also include optimized software stacks. GeForce Experience, for example, enhances every gamer’s gaming experience by optimizing their computer’s settings and allowing them to share and record gameplay. Omniverse is a real-time 3D collaboration tool and virtual world simulation software. It empowers creators, artists, and designers to share and collaborate in top design applications. Their cloud platforms like GeForce NOW and vGPU allow interactive graphics applications, such as movies, games, and design software, to be accessed on almost all devices, almost anywhere.

Advancing the leading autonomous vehicle platform:

The company expects AV to revolutionize transportation. AI is, in our opinion, the most important technology to enable this opportunity. Because the algorithms required for the autonomous drivers are too complex for legacy hand-coded approaches, multiple trained neural networks will instead run them. Under the DRIVE name, they offer an AI-based, functionally secure hardware and software solution for AV markets. They are bringing this to market through their partnerships and OEMs, tier-1 suppliers, and start-ups. The company’s AV solution also includes GPU-based hardware to train the neural network before they are deployed in the vehicle. They also stimulate their operation prior to any software updates. The holistic, bottom-to–bottom and complete approach will help the transportation industry solve the complicated problems that arise from autonomous driving.


North America:

The US, Toronto, Ontario, Madison, Palo Alto, Santa Clara, San Dimas, Sunnyvale, Boulder, Fort Collins, Champaign, Westborough, Westford, St. Louis, Holmdel, New York, Cary, Durham, Hillsboro, Pittsburgh, Austin, Houston, Salt Lake City, Charlottesville, Herndon, Redmond, and Seattle.


Sydney, Beijing, Guangzhou, Shanghai, Shenzhen, Shatin, Bengaluru, Gurugram, Hyderabad, Mumbai, New Delhi, Pune, Tokyo, Seoul, Hsinchu City, Taipei City, and Singapore.


Yerevan, Ghent, Brno, Roskilde, Helsinki, Courbevoie, Grenoble, Sophia-Antipolis Cedex, Berlin, Stuttgart, Würselen, Munich, Athens, Budapest, Jerusalem, Kiryat Gat, Beer Sheva, Raanana, Tel Aviv, Yokneam, Amsterdam, Tel Hai, Hebron, Nablus, Warsaw, Moscow, Rawabi, Gothenburg, Zurich, Bristol, Dubai, Cambridge, Belfast, Reading, and Kyiv.

Financial Highlights (2022)

  • Gaming revenue increased 61% yearly to $12,500 million due to the higher sales of GeForce GTS GPUs. The NVIDIA ampere architecture products continue to be in high demand.
  • Data Center revenue increased 58% to $10,600 million year-on-year, due to sales of NVIDIA Ampere Architecture GPUs for training and inference, as well as AI workloads such as deep recommendation models and natural language processing.
  • NVIDIA Ampere products’ rampant sales and strong demand for professional visualization workstations fueled a 100% increase in revenue year-over-year to $2,100 million. Enterprises supported hybrid work environments and increased workloads like 3D design and AI.
  • TSR was 76%, 474%, and 728%, for 1-year, 3-year, and 5-year periods, respectively, for fiscal 2022. TSR stands for cumulative stock price appreciation and dividends reinvested. It is measured for the relevant fiscal year periods using our closing stock price, $228.40, on the last trading day of Fiscal 2022.


Goodwill is subjected to an annual impairment test in the fourth quarter or earlier if there are indicators of possible impairment. Our impairment test is based on a unit-based qualitative and quantitative analysis. Qualitative variables include market and industry factors, overall financial performance, or other relevant events that could affect reporting units. The quantitative impairment test uses both the market and income approaches to determine a reporting unit’s value. The income and market valuation methods consider various factors such as future financial information and growth rates, residual values, and discount rates from publicly traded companies in the industry. They also require us to make certain assumptions regarding industry economic factors as well as the future profitability of our company.


Nvidia Corporation Revenue

The reported revenues of 26,910 million US$ for their fiscal year 2022, an increase of 16,680 million US$ in 2021.

Nvidia Corporation Global Revenue, by Region/Country

Nvidia’s revenue in Taiwan for its fiscal year 2022 was 8,544 million US$, up from 4,531 million US$ in the previous fiscal. The U.S. saw 4,349 million US$ in 2022’s fiscal year.

Nvidia Corporation R&D Expenses Worldwide

Nvidia’s 2022 fiscal years saw a 5,268 million US$, increase in Research and Development (R&D) compared to the 3,924 million US$ spent on R&D for 2021.

Nvidia Corporation Total Assets

Nvidia had 44,190 million US$ in total assets for its 2022 fiscal year. This was an increase from the 28,790 million US$, the company earned in 2021. In 2022, Nvidia’s total assets were five times higher than in 2015 or 2016.

Nvidia Corporation Net Income

Nvidia posted a net income of 9,752 million US$ in 2022 fiscal, up from 4,332 million US$ in 2021. The highest-ever recorded net income in the study period is in the year 2022.

Nvidia Corporation Operating Income

Nvidia recorded an operating income of 10,041 million US$ in its 2022 fiscal, an increase from the 4,532 million US$ it had reported in 2021. The company’s 2022 operating income is the highest for any time period.

Recent Developments:


  • In January, the company reached an agreement to provide a range of services for data generation and collection with Deloitte.
  • To improve operational efficiency, and accelerate the installation of AMRs, the company introduced Isaac Autonomous Mobile Robots (AMR), platform in January.
  • The company released more than 160 Studio GeForce-based gaming laptop designs, new laptop GeForce GTX GPUs, and technologies in January.
  • NVIDIA bought Bright Computing, an IT company, in January.
  • Taylor James and NVIDIA’s RTX Virtual Workstation unveiled a cloud-based solution in January to help employees stay productive and efficient while working remotely.
  • NVIDIA has announced that the acquisition of Arm Ltd. was terminated in February.
  • NVIDIA and LG Electronics teamed up in January to offer LG 2021 Smart TV owners in selected markets free priority membership for six months to NVIDIA GeForce Now.
  • NVIDIA bought Excelero, a software-defined storage technology developer, in March.


  • NVIDIA Flare was launched by the company in November. It is a software development kit.
  • The company and Lockheed Martin joined forces in November with the U.S. Department of Agriculture Forest Service and Colorado Division of Fire Prevention and Control. This partnership will help fight wildfires by using AI.
  • 20 brand new games were added to GeForce NOW’s library by the company in December.
  • In November, GauGAN2 was introduced by the company.
  • The company reached an agreement with Siemens in November for the development of an industrial digital twin of Omniverse’s power plant.
  • Google Cloud and the company formed a partnership in November. This partnership aims to connect the tools of data science with the cloud’s muscle with just one click.
  • NVIDIA Jetson AGX Orin is the world’s smallest, most powerful, and most energy-efficient AI supercomputer. It can be used to create autonomous robots and medical devices, as well as other forms of embedded computing at an edge.
  • Systel Inc. was selected by NVIDIA Partner Network in February as a preferred partner for solutions integration of high-performance computing and visualization products.
  • NVIDIA and Nio Inc. entered into a partnership in January to create a new generation of automated driving electric vehicles.
  • NVIDIA and Deloitte formed a partnership in March to launch the Deloitte Center for AI Computing.
  • NVIDIA Omniverse Enterprise was created by NVIDIA in April.
  • NVIDIA and Cloudera collaborated in April to accelerate data analytics, AI, and research.
  • NVIDIA and Schrodinger partnered in April to harness NVIDIA DX A100 systems to assess molecules for therapeutic potential.
  • NVIDIA filed a June application to China regulators for approval of its US$ 40,000 million acquisition of Arm, a UK chip designer.
  • NVIDIA bought DeepMap, an Australian software company, in August.

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