Segment & Geographic Data Quant-Grade Normalized (live API) API & CSV Delivery

Nvidia's Business Segments

Nvidia's reported revenue by business segment and by geographic region, quarterly and annual, normalized against the consolidated income statement. Free below: the top 3 rows per table, this quarter and this fiscal year. Subscriber access adds the full segment history and operating income by segment.

Segment Data As of Q1 FY2027
Reportable Segments
2
Per the company's own filing, this quarter
Largest Segment
Compute and Networking
91.3% of revenue
Total Revenue
$ 81,615
Consolidated, this quarter
Regions Reported
1
Geographic regions, this quarter
API endpoints for this dataset
https://api.csimarket.com/api/v1/companies/NVDA/segments
https://api.csimarket.com/api/v1/companies/NVDA/geographic
https://api.csimarket.com/api/v1/companies/NVDA/exposure
Programmatic access for models, analytics, and integration workflows.
Dataset & schema
https://api.csimarket.com/api/datasets/business_segments
https://api.csimarket.com/api/schema/business_segments
https://api.csimarket.com/api/meta/business_segments

Revenue Share by Reportable Segment - Q1 FY2027

91%largest
  • Compute and Networking91.3%
  • Graphics8.7%

Revenue by Reportable Segment - Q1 FY2027

SegmentPeriodRevenue
(Millions)
% of TotalOperating Income
Compute and NetworkingQ1 FY2027$ 74,55091.3%$ 53,335
GraphicsQ1 FY2027$ 7,0658.7%$ 2,941

Revenue Share by Region - Q1 FY2027

2%largest
  • Other countries1.6%

Revenue by Geographic Region - Q1 FY2027

RegionPeriodRevenue
(Millions)
% of Total
Other countriesQ1 FY2027$ 1,2901.6%

Revenue by Product & Service Category - Q1 FY2027

92%largest
  • Data Center92.2%
  • Hyperscale46.4%
  • AI Clouds, Industrial, & Enterprise45.8%
  • Edge Computing7.8%

Revenue by Product & Service Category - Q1 FY2027

CategoryPeriodRevenue
(Millions)
% of Total
Data CenterQ1 FY2027$ 75,24692.2%
HyperscaleQ1 FY2027$ 37,86946.4%
AI Clouds, Industrial, & EnterpriseQ1 FY2027$ 37,37745.8%

Product and service categories are a supplemental disclosure and are not required to sum to consolidated revenue or to the reportable segments above.

1 more categories available

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Description of Nvidia

NVIDIA Corporation is a leading technology company specializing in graphics processing units (GPUs) and related technologies that enhance visual computing experiences across various platforms. Founded in 1993 and reincorporated in Delaware in 1998, NVIDIA aims to be the foremost visual computing company globally.

Core Business Operations:

1. Graphics Processing Units (GPUs):
NVIDIA designs, develops, and markets a comprehensive range of GPUs for desktops, notebooks, and professional workstations. These GPUs are crucial for applications in gaming, graphic design, scientific visualization, and more. The GeForce series is particularly noteworthy, known for high-performance gaming graphics.

2. Media and Communications Processors (MCPs):
NVIDIA’s MCPs are integral for multimedia processing, including audio and communications, primarily used in PCs and workstations that require robust multimedia capabilities. Products like the nForce family are designed to support AMD processors, providing enhanced system performance and security.

3. Ultra-Low Power Media Processors (UMPs):
NVIDIA develops UMPs to support multimedia applications on handheld devices. These processors are engineered for smartphones and tablets to handle tasks like video playback, gaming, and photography with high efficiency and power savings.

4. Software Ecosystem:
NVIDIA supports its hardware offerings with a suite of software tools, drivers, and platforms designed to optimize performance. This includes CUDA, a parallel computing platform and application programming interface (API) model that allows software developers to leverage GPU power for non-graphical computing tasks.

5. Artificial Intelligence and Deep Learning:
In recent years, NVIDIA has expanded into AI and deep learning markets, providing GPUs that accelerate AI training and inference workloads. The CUDA architecture and Tensor Cores are specifically designed for advanced AI computations, making NVIDIA a key player in the AI hardware space.

6. Gaming and Entertainment:
NVIDIA continues to innovate in the gaming sector with technologies such as ray tracing, deep learning super sampling (DLSS), and GeForce NOW, its cloud gaming service. The company partners with major game developers to optimize games for its GPUs, enhancing player experiences.

Automotive Technologies:
NVIDIA has entered the automotive market, developing platforms for self-driving cars. The NVIDIA Drive platform offers high-performance computing solutions for vehicle perception, mapping, and AI decision-making.

8. Data Center Solutions:
NVIDIAs GPUs are widely applied in data centers for parallel processing tasks. The company targets high-performance computing (HPC), machine learning, and data analysis sectors with its data center GPUs.

Competitive Landscape:
The GPU market is characterized by intense competition, with key players such as AMD and Intel offering competing products. NVIDIA differentiates itself through technological advancements, superior performance, and a comprehensive product ecosystem. The company closely collaborates with OEMs, system builders, and software developers to maintain its competitive edge, ensuring its GPUs are integrated into a range of consumer and enterprise solutions.

Future Directions:
NVIDIA is exploring potential in emerging fields such as edge computing, AI-driven analytics, and the metaverse, positioning itself for continued growth in visual computing and beyond. Its ongoing investments in R&D signify a commitment to staying at the forefront of graphics and computational technologies.

Overall, NVIDIA aims to leverage its technological expertise to address changing market demands and maintain leadership across multiple sectors in the visual computing landscape.
NVIDIA Corporation, a leading technology company, offers a broad and diverse array of segments, products, and services that cater to various markets including gaming, professional visualization, data center, automotive, and mobile computing. Here is an extensive description of their offerings:

1. GPU Business

The GPU business is NVIDIAs flagship segment, primarily concentrated on GeForce, which includes powerful graphics processing units (GPUs) designed for desktop and notebook personal computers. The GeForce product line enhances gaming and general computing experiences by providing superior graphics performance, supporting high-resolution visuals and complex graphical tasks.

- GeForce GPUs: These are specifically designed for gaming enthusiasts, content creators, and everyday users, enabling smooth and visually rich gaming experiences and high-definition video playback.

- Memory Products: In addition to discrete GPUs, NVIDIA provides high-performance memory products that enhance the capabilities and functionalities of their graphics cards.

- Platform Support: GeForce products are optimized for major operating systems, particularly Microsoft Windows and macOS, ensuring broad compatibility and performance enhancements across various hardware configurations.

- Visual Computing: NVIDIAs GPUs power systems that deliver advanced video game graphics, support for high-definition movies, and enhanced user interface experiences for applications. The integration of DirectX and Vulkan technologies allows developers to create richer visual experiences by harnessing the full potential of GPU hardware.

Professional Solutions Business

Under the Professional Solutions Business (PSB), NVIDIA develops and markets products aimed at professional markets, emphasizing performance and reliability.

- Quadro GPUs: The Quadro series includes a range of professional-grade graphics cards aimed at industries such as architecture, healthcare, and film production. Notable products include the Quadro RTX series, which leverages real-time ray tracing and AI capabilities to provide superior rendering performance.

- Applications: Quadro graphics cards are used in applications that require high levels of precision and performance, including CAD software, 3D modeling, and simulations in fields like aerospace, automotive design, and medical imaging.

- NVIDIA Tesla: This line of high-performance computing (HPC) products is geared toward data centers and enterprise use. Tesla GPUs are optimized for parallel computing and deep learning tasks, offering significant performance improvements for scientific computations, simulations, and AI model training.

- Certified Solutions: NVIDIA ensures that its Quadro and Tesla products are certified by leading software vendors for compatibility and performance, making them the preferred choice for professionals in demanding fields.

Data Center Solutions

NVIDIA is significantly invested in data center technologies, offering a range of products designed for high-performance computing, machine learning, and AI applications.

- NVIDIA A100 Tensor Core GPUs: These GPUs are instrumental for AI training and inference, delivering unmatched performance for workloads in machine learning and data analytics.

- NVIDIA DGX Systems: These are integrated systems designed for AI and data science that utilize NVIDIAs GPU architecture to deliver powerful computational capabilities for enterprise-level data processing.

- Networking Solutions: Through its Mellanox acquisition, NVIDIA provides high-speed networking technologies such as InfiniBand and Ethernet solutions that optimize data center performance and bandwidth.

Automotive Solutions

NVIDIA has developed advanced solutions for the automotive industry, focusing on AI-based systems for self-driving vehicles.

- NVIDIA Drive Platform: This platform encompasses both hardware and software solutions, aimed at enabling autonomous driving capabilities and enhancing passenger experience through advanced infotainment systems.

- AI & Deep Learning in Vehicles: The Drive platform includes powerful GPUs capable of processing vast amounts of data from vehicle sensors, enabling real-time decision-making for autonomous driving applications.

Consumer Products Business

NVIDIAs consumer product lines include mobile and embedded technologies aimed at enhancing consumer electronics.

- Tegra Processors: These are energy-efficient mobile processors designed for devices such as smartphones, tablets, and gaming consoles. The Tegra architecture provides robust performance while maintaining low power consumption.

- GoForce Mobile Products: Similar to Tegra, GoForce products are tailored for multimedia-capable mobile devices, focusing on video playback, gaming, and enhanced graphics.

- Gaming Devices: NVIDIA also develops technologies specifically optimized for gaming devices, enhancing the gaming experience across multiple platforms.

Software and Services

In addition to hardware offerings, NVIDIA provides a range of software and services that complement its products.

- NVIDIA Studio: This is a software platform that accelerates creative workflows for artists and designers, integrating effectively with creative applications and providing enhanced performance and support.

- CUDA and AI Tools: NVIDIAs Compute Unified Device Architecture (CUDA) and AI frameworks enable developers to leverage GPU power for parallel computing tasks, AI, and machine learning.

- GeForce NOW: This cloud gaming service allows users to stream games directly to their devices from powerful servers in the cloud, providing a gaming experience that does not rely heavily on local hardware specifications.

Conclusion

Overall, NVIDIA Corporation is a multifaceted technology company that continuously innovates across various segments including gaming, professional visualization, data centers, automotive systems, and consumer products. The combination of robust hardware, advanced software solutions, and a commitment to delivering cutting-edge technology positions NVIDIA as a leader in the graphics and computing space. Through these offerings, NVIDIA not only enhances user experiences across devices but also drives advancements in industries that rely on high-performance computing and advanced graphics technologies.