Nvidia’s lead technology analyst, Beth Kindig, has made several impressive predictions about the chipmaker. In 2021, she correctly forecasted that Nvidia would surpass Apple’s market value within five years, and the company achieved this milestone in just three years. This year, Kindig called a buying opportunity when Nvidia’s stock crashed due to Chinese startup DeepSeek’s introduction of low-cost large language models. The stock price has since increased by 28% and is now at a record high.
Kindig’s boldest prediction is that Nvidia will become a $10 trillion company by 2030, which would imply 156% upside from its current market value of $3.9 trillion. This would translate to annual returns of nearly 19% for shareholders. Nvidia dominates the data center GPU and AI networking markets, with over 90% market share.
The company’s GPUs are essential for training machine learning models and running AI applications. According to Forrester Research, Nvidia sets the pace for AI infrastructure worldwide, and without its GPUs, modern AI wouldn’t be possible. Nvidia also provides CPUs, interconnects, Ethernet, and InfiniBand networking platforms.
Grand View Research estimates that the data center GPU market will expand at 36% annually through 2033, while Morningstar expects generative AI networking to grow at 34% annually through 2028. This gives Nvidia a good shot at annual revenue growth exceeding 30% for many years to come.
The physical AI revolution is creating tremendous demand for Nvidia’s AI infrastructure, and the company is well-positioned to maintain its leadership. Physical AI enables autonomous machines to understand and navigate the real world. Nvidia addresses this technology at three layers of the computing stack: data center GPUs and networking platforms, Omniverse simulation engine, and embedded processors.
Nvidia’s CUDA platform includes code libraries, application frameworks, and pretrained models that accelerate robotics and automotive software development. This vertical integration makes Nvidia a go-to option for engineers and developers, reducing the complexity of integrating products from multiple vendors.
Beth Kindig notes that Nvidia has a “near-monopoly in building supercomputers” due to its CUDA software platform. The company’s strong financial performance has also impressed Wall Street. Despite new chip export restrictions related to China, Nvidia reported robust first-quarter results, with revenue rising 69% and non-GAAP net income increasing 33%. Earnings estimates suggest that Nvidia will increase adjusted earnings by 41% annually through 2027.
At its current price, Nvidia’s valuation looks reasonable, especially considering the company’s strong track record of beating consensus earnings estimates. Long-term investors should feel comfortable owning the stock at this point.
Source: https://www.fool.com/investing/2025/07/10/1-ai-stock-buy-before-soars-10-trillion-wall-stree