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Major US institutional investors continue to increase their NVIDIA holdings.
Based on 13F institutional holding filings.
NVIDIA holds an unrivaled 80%+ market share in AI training/inference GPUs. The CUDA ecosystem creates powerful software lock-in with very high switching costs. An annual GPU roadmap (H100 → B200 → next-gen) continuously drives customer upgrade demand. The full-stack AI platform now spans networking (Mellanox), software (NIM, Omniverse), and all major hyperscalers (Microsoft, Google, Amazon, Meta) are core customers.
Competition is gradually intensifying from AMD MI300X, Google TPU, and custom chips (Amazon Trainium). Over 50% of revenue is concentrated among a handful of hyperscalers, creating customer concentration risk. US-China semiconductor export controls could shrink China revenue (~15%). A premium valuation above 40x PER adds downside risk, and any slowdown in the AI investment cycle could trigger a sharp correction.
The 2026 AI data center market is projected to grow over 50% year-over-year, with NVIDIA's Blackwell GPUs (B200, GB200) capturing the bulk of that growth. Sovereign AI — government investments in national AI infrastructure — and enterprise AI adoption are emerging as new growth pillars. An annual revenue milestone of $200 billion is a realistic target, and data center revenue share will continue to expand as the AI inference market scales.
NVIDIA Corporation is the global leader in GPU design, spearheading the AI, data center, gaming, and autonomous driving markets. Its GPUs (H100, B200, etc.) and the CUDA ecosystem have captured over 80% of the AI semiconductor market. The company is riding an explosive growth wave driven by AI inference market expansion, the Blackwell architecture launch, and sovereign AI demand.
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