Global New Data Generation to Reach 718 ZB Annually by 2030

Western Digital analysis highlights storage as a critical AI bottleneck, with global new data hitting 718 ZB/year by 2030, necessitating hierarchical storage strategies.

Woofun AI data shows that Western Digital identifies storage planning as a core component of AI infrastructure, driven by rapid expansion in AI applications. IDC predictions indicate global new data generation will reach 718 ZB annually by 2030, with training data accumulating persistently. Current infrastructure plans often prioritize GPU utilization while neglecting data accumulation throughout the AI lifecycle. Storage costs directly impact long-term operational efficiency, requiring hierarchical strategies using high-performance flash for training and HDDs for retention. Analysts suggest future competition will center on data lifecycle management capability per PB rather than just GPU counts.