Stratistics MRC: AI semiconductor market to hit $285 billion by 2034

The forecast arrives as AI models grow more demanding: training large language models requires many GPUs and accelerators running in parallel, and companies are increasingly deploying generative AI in daily operations, which adds inference workloads on top. Stratistics MRC expects that shift to favor inference-optimized chips, with AI inference posting the highest growth rate over the forecast period. Beyond data centers, the firm points to edge AI and on-device AI in smartphones, cars, industrial equipment and robots as additional sources of demand.

On the supply side, the report flags constraints that could temper growth. Advanced manufacturing capacity and high-bandwidth memory (HBM) supply are cited as potential bottlenecks, and the high cost of developing leading-edge AI chips raises the bar for new entrants. Power consumption and heat management also matter for data-center operators trying to balance performance with efficiency. Geopolitical risks and export regulations are noted as further risks to supply chains, which the report says makes stable production and supply important management issues for chipmakers.