Nvidia closed out 2025 with a 39% gain, more than double the 16% rise in the S&P 500, driven by its GPUs becoming the de facto standard for AI workloads in data centers. According to IoT Analytics, the company holds a 92% share of the data center GPU market. CEO Jensen Huang’s early pivot to AI in 2013 and a disciplined annual product cadence have kept Nvidia ahead, enabling hyperscalers and enterprises to continuously upgrade to the latest architectures without ceding ground to rivals.

Beyond raw chip performance, Nvidia’s Compute Unified Device Architecture (CUDA) library underpins its sustainable edge. Over 4.5 million developers use CUDA’s extensive software tools to optimize AI training and inference on Nvidia hardware. This network effect not only accelerates time-to-market for AI applications but also raises the barrier for competitors—such as Amazon’s Trainium, Google’s TPUs and AMD’s MI series—to win meaningful share, as they lack a comparably deep developer community and ecosystem lock-in.

While trading at 46 times trailing earnings, Nvidia’s premium multiple reflects a 1,200% share price surge over three years and a business growing faster than the broader market. A price/earnings-to-growth (PEG) ratio of 0.78 suggests the stock remains attractively valued relative to its long-term growth trajectory. Wall Street forecasts revenue growth of 63% and EPS expansion of 59% for the fiscal year ending January 2026, followed by an additional 50% revenue increase in fiscal 2027, underpinned by heavy R&D investment in next-generation AI processors.