Arm Holdings is poised for significant growth in the AI inference market, projecting a revenue increase from $4.7 billion in the last twelve months to $25 billion by fiscal 2031. This expansion is driven by a compound annual growth rate (CAGR) of 20% in royalty revenue from its AI-focused architecture, which could achieve an annual revenue of $15 billion from its own silicon offerings.
Deloitte indicates that inference will dominate AI computing power, accounting for two-thirds by 2026, and estimates the market for inference-focused AI chips could reach $50 billion this year. McKinsey forecasts a substantial rise in AI inference workloads in data centers, expecting growth from nearly 21 gigawatts (GW) in 2022 to 93 GW by 2030, with a CAGR of 35%. This indicates a competitive landscape among chipmakers, with Arm positioning itself as a leading provider of energy-efficient designs suitable for various applications, from data centers to consumer electronics.
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