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Data Center Segment Revenue: Nvidia, AMD, and Intel (2021–2025, Quarterly)
webUseful reference for understanding the concentration of AI compute supply in Nvidia and the rapid scaling of hardware investment, relevant to compute governance and AI capabilities discussions.
Metadata
Importance: 45/100dataset
Summary
This Statista dataset tracks quarterly data center segment revenues for Nvidia, AMD, and Intel from 2021 to 2025, highlighting Nvidia's extraordinary growth driven by GPU demand for AI training and inference workloads. The data illustrates the rapidly shifting competitive landscape in AI compute hardware, with Nvidia emerging as the dominant supplier.
Key Points
- •Nvidia has experienced extraordinary revenue growth in its data center segment, primarily driven by GPU sales for AI model training and inference.
- •GPUs are central to training and running large language models such as ChatGPT, making this data directly relevant to AI capabilities growth.
- •The dataset covers quarterly figures from 2021 to 2025, enabling trend analysis of AI compute hardware market dynamics.
- •AMD and Intel are tracked as competitors, but the data underscores Nvidia's dominant market position in AI-focused data center hardware.
- •Data is paywalled; precise figures require a Statista subscription, limiting direct accessibility.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| AI Revenue Sources | Organization | 55.0 |
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When comparing the data segment revenues of Nvidia, AMD, and Intel, it is clear that Nvidia has experienced extraordinary growth. In the third quarter of the 2025 calendar year, Nvidia generated
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billion U.S. dollars through its data center segment, a part of the business that includes graphics processing unit (GPU) sales. GPUs are used to train and run various large language models, most notably ChatGPT, the one developed by OpenAI.
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## Data center segment revenue of Nvidia, AMD, and Intel from 2021 to 2025, by quarter (in billion U.S. dollars)
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Data center segment revenue of Nvidia, AMD, and Intel from 2021 to 2025, by quarter
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... (truncated, 24 KB total)Resource ID:
6d2cfd0225d5a849 | Stable ID: MTEzN2RiMD