HBM for AI market seen reaching $8.17 billion by 2030

The Business Research Company says the market for high-bandwidth memory used in artificial intelligence will grow from $2.65 billion in 2025 to $8.17 billion by 2030. The forecast points to surging demand for faster, more energy-efficient memory as AI models, hyperscale data centers, and edge computing expand.

Why it matters: - High-bandwidth memory is becoming a core component of AI infrastructure as models and workloads demand faster data transfer and lower latency. - The market’s projected rise to $8.17 billion by 2030 signals stronger spending on memory systems that support training and inference at scale. - Data center operators and AI hardware makers are likely to face rising pressure to improve bandwidth, efficiency, and accelerator integration.

What happened: - The Business Research Company projected the high-bandwidth memory for artificial intelligence market will grow from $2.65 billion in 2025 to $3.32 billion in 2026. - The report forecasts the market will reach $8.17 billion by 2030, implying a 25.2% CAGR from 2026 to 2030. - The press release was issued Sept. 17, 2026, from London. - The company published a free sample of the market report and a full report.

The details: - High-bandwidth memory for AI uses vertically stacked memory chips and a wide interface to move data quickly and reduce latency. - The report links historical growth to demand for powerful computing systems, GPU-driven machine learning, advances in data center technology, early adoption of 3D-stacked memory, and faster enterprise data processing. - The forecast period is driven by more complex AI models, more hyperscale data centers, wider edge AI adoption, demand for energy-efficient high-speed memory, and new accelerator architectures. - Expected product and technology trends include HBM optimization for large-scale AI training, advanced 3D-stacked designs with ultra-low latency, energy-efficient memory for data center AI workloads, improved memory interconnects for GPU and accelerator integration, and expanded bandwidth for AI inference and high-performance computing. - The report says North America was the largest regional market in 2025. - The Asia-Pacific region is projected to be the fastest-growing market during the forecast period. - The geographic coverage includes Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa.

Between the lines: - The forecast suggests memory vendors are moving from a component market to a strategic bottleneck market as AI systems scale. - The focus on energy efficiency shows the market is responding not just to speed demands, but also to power and thermal constraints in data centers. - The report’s regional split points to an established lead in North America and stronger future demand growth in Asia-Pacific. - The company added market attractiveness scoring, TAM analysis, company scoring matrix graphics, Excel forecasting dashboards, market hotspots infographics, and updated graphics and tables to the 2026 report set.

What's next: - Continued data center expansion is likely to support further HBM adoption in AI systems. - The report expects more investment in memory designs that improve training speed, inference performance, and system integration. - The Business Research Company provided contact details for expert follow-up and market inquiries in the release.