- GPUs have evolved from simple graphics rendering tools into critical computing engines powering AI training, data centers, video editing, autonomous driving, and edge computing.
- The surge in AI-based workloads, particularly in language modeling (LLMs), image recognition, and data analytics, is pushing demand for high-end GPUs across cloud hyperscalers, enterprises, and research institutions.
- In the gaming industry, GPUs are essential for real-time ray tracing, high frame-rate performance, and immersive experiences on PC, console, and mobile platforms.
- The market is also witnessing increasing GPU use in non-visual workloads like crypto mining, financial modeling, and medical diagnostics—significantly expanding the addressable market.
- Key innovations such as chiplet architecture, ray tracing acceleration, low-power AI cores, and HPC-optimized GPUs are reshaping GPU design and enhancing compute throughput.
