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The Battle for AI Data Center Revenue (2021–2025)
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Key Takeaways
- Data-center spending shifted after the release of ChatGPT, with Nvidia growing from 25% to 86% of the market share since 2021.
- Intel fell from 68% to 6% after server-CPU setbacks and an AI-accelerator push that didn’t scale.
In just five years, the companies competing for AI chips and data center market share were reshuffled significantly.
This chart visualizes the changing market share of AI and data center revenue over time between Intel, Nvidia, and AMD.
The data comes from Bloomberg and company-reported segment revenue from Nvidia, Intel, and AMD, with the chart showing each company’s share of the combined (peer-set) total from 2021–2025.
AI and Data Center Revenue Market Share (2021–2025)
At the start of the decade, Intel was the undisputed king, capturing over two-thirds of AI chip and data center market share when compared to Nvidia and AMD.
In 2021, Nvidia only had about 25% of market share and was known primarily for gaming GPUs, while AMD was a distant third with just 7% market share.
As seen in the data table below, revenues have shifted significantly since 2021, with Nvidia as the market share leader at 86% as of late 2025.
| Quarter | Intel | AMD | Nvidia |
|---|---|---|---|
| 2021 Q1 | 68% | 7% | 25% |
| 2021 Q2 | 64% | 9% | 27% |
| 2021 Q3 | 59% | 11% | 30% |
| 2021 Q4 | 59% | 11% | 30% |
| 2022 Q1 | 55% | 12% | 34% |
| 2022 Q2 | 47% | 15% | 38% |
| 2022 Q3 | 44% | 17% | 40% |
| 2022 Q4 | 45% | 17% | 38% |
| 2023 Q1 | 40% | 14% | 46% |
| 2023 Q2 | 26% | 8% | 66% |
| 2023 Q3 | 19% | 8% | 73% |
| 2023 Q4 | 16% | 9% | 75% |
| 2024 Q1 | 13% | 8% | 79% |
| 2024 Q2 | 12% | 9% | 80% |
| 2024 Q3 | 11% | 9% | 80% |
| 2024 Q4 | 8% | 9% | 83% |
| 2025 Q1 | 9% | 8% | 83% |
| 2025 Q2 | 8% | 7% | 85% |
| 2025 Q3 | 7% | 7% | 86% |
| 2025 Q4 E | 6% | 7% | 86% |
The viral rise of AI chatbots like OpenAI’s ChatGPT took the world by storm after launching in late 2022, turning the tide quickly as Big Tech and governments rushed to build “AI factories”—huge data centers designed to train and run large language models (LLMs)—driving demand toward GPU-heavy infrastructure.
How Nvidia Took the Lead in the AI Chip Market
Nvidia capitalized on this shift by improving not just the GPU (making it faster and more power-efficient) but the whole AI system.
This includes chips, networking, and software—so gains compounded at the platform level rather than relying on traditional CPU scaling.
CEO Jensen Huang noted that while traditional Moore’s Law had slowed for CPUs, Nvidia’s AI computing performance was doubling nearly every year.
He explained that Nvidia can push performance faster because it builds “the architecture, the chip, the system, the libraries, and the algorithms” together in parallel.
Beyond the silicon, Nvidia’s advantage was its complete software and hardware ecosystem, which created a moat that raised switching costs.
Why Did Intel Lose Its Crown?
Intel’s Data Center & AI share fell for one primary reason amidst repeated delays in its 2021 and 2022 CPU chip iterations.
Intel was CPU-focused while competition intensified, and after ChatGPT’s launch (Q4 2022), data-center spending shifted toward GPU-heavy AI systems.
The company failed to adapt and scale, as its AI-chip deals fell short of initial expectations.
Management even dropped its 2024 target of $500M+ in AI-accelerator revenue, citing a software platform transition.
All those missteps left it underexposed to the fastest-growing slice of AI data-center spend, while Nvidia ran away with the lead.
Learn More on the Voronoi App
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