Analysts project the "Nvidia 2030 stock forecast" to reflect continued dominance in AI and data center GPUs, with EPS growth potentially exceeding 20% CAGR if AI training demand sustains current momentum. Institutional buying patterns show accumulation phases aligning with revenue expansion cycles. Eventually, it became clear that GPUs were useful in a host of other situations in which computational problems could easily be broken down into many small pieces that could be solved simultaneously -- engineering simulations and mining cryptocurrency, among others. However, one use case for GPUs surfaced that has dwarfed all the others: training and powering artificial intelligence (AI) models. And this market for the chips only looks to be getting bigger. Management sees massive market expansion throughout 2030. Equity strategists suggest the "Nvidia 2030 stock forecast" may benefit from geopolitical semiconductor policies, especially U.S. export regulations targeting high‑performance chips.
