AI Drives Semiconductor Revenues Past $1 Trillion for the First Time in 2026
Computing & Data Storage will lead all segments in semiconductor revenue growth rising 41.4% YoY in 2026 to exceed $500bn, due to high demand in data center servers and other memory-intensive applications, as well as higher memory IC pricing. Notebook PC growth is being fueled by AI-capable adoption and a large-scale enterprise refresh cycle. Collectively, the top four hyperscalers are expected to spend approximately $500bn on capital expenditures this year, with further growth expected. Capital spending is being reallocated toward AI infrastructure, model development, and emerging applications, highlighting the transformative impact of AI across sectors.
Consumer electronics and wireless applications also present a strong outlook for semiconductor revenue growth in 2026. Contributing factors include inflated memory pricing, the launch of next-generation foldable smartphones, and renewed strength in connected consumer devices. Upgrades in AI photography and flagship smartphone refreshes from Apple, Samsung, and other manufacturers will further support growth. Wearables, smart speakers, and virtual reality (VR) headsets are also projected to see meaningful revenue gains.
Looking Ahead
“Semiconductor revenue growth in 2026 is being driven by highly concentrated, AI-related demand, rather than broad-based consumer behavior or industrial production trends that have historically influenced the market. Without the contributions of memory and logic ICs, overall semiconductor revenue growth would fall from 30.7% to only 8%, highlighting the nature of the demand driving recent market surges,” said Myson Robles-Bruce, Senior Principal Analyst at Omdia.
To provide a balanced forecast, Omdia has identified several macroeconomic risk factors that could temper growth in 2026. While inflation in China and the Eurozone remains largely under control, it continues to be a concern in the US. Additional challenges this year are expected to include rising labor and energy costs, supply chain disruptions from reorganization and governmental policies, and shortages or price volatility resulting from large-scale AI-related investments.
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This news is a press release provided by Omdia.