NVIDIA looks all set to dominate next-gen AI computing markets since the firm is projected to earn a whopping $130 billion by 2026, five times higher than FY23.
NVIDIA AI Products Have Catalyzed Their Growth In The Markets; They Don't Look To Stop Just Yet
Team Green doesn't look to stop with the massive AI gold mine that it discovered last year, and with what the indicators show, the party doesn't look to stop just yet. The report comes from none other than Bloomberg, which predicts that NVIDIA's revenue by 2026 could grow to $130 billion, almost an additional $100 billion from 2021. This is a humongous 125% gain in overall revenue, and these figures are some that the industry has never witnessed in the past, all courtesy of the vast AI demand backed by data centers and AI accelerator demand.
Based on what we have reported previously, it seems that NVIDIA is on track to generate $300 billion from AI-driven sales by 2027, adding a massive chunk to its gigantic market cap. Market researchers such as Omdia have shown similar optimism, with the firm expected to make $87 billion this year from its data center GPUs, marking a 150% YoY increment. Now, things are looking on the right track for the upcoming years, with Team Green announcing plans to unveil its next-generation "Blackwell" B100 AI GPUs and various other server offerings soon, which will ultimately catalyze their growth in the markets.
NVIDIA plans to integrate liquid-cooling capabilities within its data centers in another exciting development. This shows how the firm plans to bring generational improvements into its AI products, ultimately catering to the immense demand from the AI sector, which requires generational improvement in computing power. However, it is essential to note that these figures are merely projections and could be heavily impacted by geo-political conditions, supply chain constraints, and the potential increase in industry competition. For now, NVIDIA is reigning the markets.
News Source: Beth Kindig
About the author: Muhammad Zuhair is a hardware and technology reporter for Wccftech, specializing in the semiconductor industry and the complex interplay between technology, manufacturing, and geopolitics. His coverage focuses on the corporate strategies and technological roadmaps of industry giants like TSMC, NVIDIA, Samsung, and Intel. Zuhair's expertise lies in deconstructing complex topics such as fabrication nodes (e.g., 2nm process), the economic impact of policies like the CHIPS Act, and the strategic development of AI infrastructure from NVIDIA, AMD and Intel.
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