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2 Hypergrowth Tech Stocks to Buy in 2025

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The market continues to be volatile in 2025, with stocks generally trading well off their previous highs. For investors with a long-term mindset, this raises some potential opportunities. There are at least two hypergrowth stocks out there right now that investors can buy this year at a share price discount, taking advantage of the choppiness (which is likely to continue). Just to be clear, hypergrowth stocks represent companies that have recently seen 30% revenue growth or above.

Here are two hypergrowth stocks long-term investors should be taking a closer look at right now.

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1. Nvidia

With revenue growth of more than 100% last year, including 78% last quarter, Nvidia (NASDAQ: NVDA) certainly fits into the hypergrowth category. However, with a forward price-to-earnings ratio (P/E) of 21.5 times this year's analyst estimates and a 0.4 price/earnings-to-growth (PEG) ratio, it is not valued like a hypergrowth stock. Stocks with PEGs below 1 are typically considered undervalued, and hypergrowth stocks generally trade at premiums.

The stock has come under pressure due to worries about the impact of tariffs and new export restrictions for its chips to China. The latter will certainly have an impact on its business, with China accounting for about 11% of its sales last year. However, the sale of scaled-back chips to China has never been the company's big growth driver, and demand for its graphic processing units (GPUs) remains robust.

Continuing to ramp up production of its new Blackwell chips should still drive strong growth for Nvidia this year, even if it sees a material decline in sales to China. That said, I'd look for the company to potentially direct its H20 chip manufacturing capacity to other GPUs, likely its H100 and H200 chips, given that they are built on the same architecture as the H20. In addition, I'd expect some sales of Nvidia's GPUs to still make it to China through the black market.

Despite all the noise, Nvidia still has a tremendous opportunity ahead, as companies continue to rush to build data center infrastructure to meet increasing demand. This buildout is led by cloud computing companies, which are assisting customers in developing their own artificial intelligence (AI) models and apps that run on their infrastructure platforms. Simultaneously, several companies are investing heavily in their own data center infrastructure in a rush to create their own AI models. These models require exponentially more computing power to advance from previous versions, which means more GPUs are needed.