Published: 03 October 2024
Summary
Market growth leaders in AI chip innovation are enabling AI system advances through AI processors/GPUs, high-bandwidth memory, automotive sensors and custom silicon. These innovations can help product leaders gain a competitive advantage for their AI workloads.
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Overview
Key Findings
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Demand for higher-performance AI systems challenges semiconductor providers in four areas: AI processors and GPUs, high-bandwidth memory (HBM), automotive sensors, and custom silicon.
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Of those four areas, AI processors and GPUs saw the strongest revenue growth in 2023, primarily because of emerging system-level design innovation of chips optimized for large language model (LLM) training and inference workloads.
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Chip manufacturing constraints and shortages capped AI chip innovation (and thus revenue growth) in 2023. This delayed customer deployments and will persist throughout 2025, complicating time-to-market plans.
Recommendations
Product leaders leveraging high-growth, innovative semiconductor technologyfor AI-enabled hardware solutions must:
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