Nvidia Dominates AI Inference Market as Competitors Pivot to ASICs

The artificial intelligence computing market is transitioning from model training to the production phase, known as inference. Nvidia maintains a commanding lead in this sector, controlling 74% of the AI inference chip market and reporting $41 billion in inference processor sales for the first quarter of 2026. The company's total data center revenue for the same period reached $75.2 billion, a 92% year-over-year increase.

Competitors are carving out market share through specialized hardware. Broadcom Inc and Marvell Technology focus on narrow-purpose application-specific integrated circuits (ASICs). Broadcom's AI semiconductor division grew 143% year-over-year to $10.8 billion in its fiscal Q2, with the company projecting $100 billion in AI revenue next year. Marvell serves major clients including Microsoft and Amazon, and expects its annual revenues to double by fiscal 2028.

Advanced Micro Devices (AMD) is pursuing a dual strategy of broad-purpose GPUs and server CPUs. While AMD reported $5.8 billion in Q1 data center revenues, it has doubled its projected server CPU addressable market to $120 billion by 2030. This move targets the orchestration and data movement requirements of agentic AI. Deloitte estimates that inference workloads will account for two-thirds of all AI data center computing power in 2026.