GPU market for deep learning seen reaching $19.49B by 2030

The Business Research Company says the global GPU market for deep learning will rise from $10.01 billion in 2026 to $19.49 billion by 2030, as AI, generative AI and large-scale model training drive demand. North America led in 2025, while Asia-Pacific is projected to grow fastest.

Why it matters: - Deep learning GPUs sit at the center of AI infrastructure, so demand tracks broader spending on artificial intelligence, cloud computing and high-performance computing. - The projected growth signals continued investment in data centers, model training and AI-powered systems across industries.

What happened: - The Business Research Company projected the global GPU market for deep learning will grow from $8.45 billion in 2025 to $10.01 billion in 2026. - The report said the market will reach $19.49 billion by 2030, implying an 18.1% CAGR. - The forecast was published Sept. 28, 2026, in London.

The details: - The market’s 2025-26 growth rate was put at 18.5%. - The report linked near-term growth to wider adoption of AI and machine learning, faster computing needs, expansion of AI-focused data centers, more complex neural networks and higher spending on high-performance computing. - Future growth is expected to come from generative AI, training large-scale deep learning models, autonomous systems, cloud-based AI computing and more efficient GPU architectures. - GPUs for deep learning are built for parallel processing, large matrix calculations, neural network training and inference. - Their architecture is designed to improve speed, efficiency and high-throughput handling for AI workloads. - The report also said GPUs help avoid performance slowdowns when training complex neural networks.

Between the lines: - The core market driver is data growth, not just model sophistication. - The report cited rising volumes of structured and unstructured data from social media, enterprise systems, sensors, mobile devices and the Internet of Things. - Edge Delta reported in March 2024 that roughly 120 zettabytes of data were produced worldwide in 2023, equal to about 337,080 petabytes per day. - With about 5.35 billion internet users globally, that works out to an average of 15.87 terabytes of data per user per day, according to the report's cited figures. - North America held the largest share of the market in 2025 because of established tech infrastructure and heavy AI investment. - Asia-Pacific is expected to post the fastest growth as AI adoption and computing investment expand.

What's next: - The market outlook now depends on how quickly generative AI, cloud AI platforms and autonomous systems scale. - The report also pointed to updated market tools in its 2026 edition, including TAM analysis, company scoring matrices, forecasting dashboards and trend analysis. - The full report is available here, and a free sample is available here.

The bottom line: - GPU demand for deep learning is set to keep rising as AI workloads get bigger, faster and more data-intensive.