Semiconductors have created a technology super-cycle powering the AI revolution. The industry is on pace to approach $1 trillion in revenue in 2026, marking a third consecutive year of elevated growth driven by AI training, inference, and new classes of intelligent systems. The semiconductor industry now spans a deeply interdependent global supply chain where constraints at any layer shape overall performance and economics. Beyond traditional data center compute, emerging technologies are expanding the market through new computing form factors that depend on breakthrough semiconductor innovation and frontier AI models, including intelligent robotics, domain-specific XPUs, and early hybrid classical-quantum platforms. Together, these forces are shifting the industry from a focus on standalone chips toward tightly integrated, system-level platforms that define the next phase of AI-driven growth.
Market Taxonomy
The submarkets Futurum's Market Data model sizes and forecasts across this practice.
Merchant programmable parallel-compute silicon; the dominant training substrate and largest inference share.
Custom AI accelerators: hyperscaler ASICs, design-partner silicon, and merchant ASICs.
General-purpose data center processors across x86, Arm, and emerging RISC-V.
Off-chip DRAM and NAND supplementing accelerators; on-package HBM is counted in GPU and XPU.
Also decomposed by workload (training and inference), deployment model, and region.
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VP, Custom Research · The Futurum Group
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