AI Adoption Drove Massive Data Storage Growth
New research shows that nearly 95% of large organizations increased their data storage volumes due to AI.
Updated on Sept. 29, 2026 in Artificial Intelligence
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IDC reported in May 2026 that AI adoption is forcing organizations to expand their data infrastructure significantly. Data lake volumes have surged as companies store more information and re-evaluate the value of archived assets.
Why it matters
AI requires vast amounts of information for training and operation, fundamentally changing how businesses view the lifecycle and utility of their stored data. This shift forces companies to maintain larger data repositories to support ongoing AI initiatives.
85.4% of surveyed firms reported growth in data lake volumes, with 59.4% identifying AI-generated content as the primary driver. Nearly 76% of companies have already moved cold-tier archived data back online for active use.
The players
IDC
This is an international market intelligence and advisory firm that specializes in the technology and telecommunications industries.
The details
Organizations with at least 500 employees are increasingly retaining data for longer periods and reviving cold storage to maximize the value of their datasets. Research indicates that 94.8% of these firms now view their data as more valuable due to the influence of AI integration.
Timeline
IDC conducted its quantitative survey in May 2026.
Data lake volume growth was measured over the past 12 months.
Organizations expect data volumes to grow 25% or more over the next three years.
The Tech Race
This massive expansion of storage capacity mirrors the earlier shift toward cloud-based computing that forced companies to overhaul their server infrastructure. By bringing cold data back online, organizations are treating historical archives as a strategic fuel for modern AI systems.
Increased data retention and processing requirements will likely accelerate the transition toward more sophisticated cloud storage tiers for enterprise users. Employees in data-heavy roles may see improved access to historical archives that were previously unavailable or siloed in cold storage.
The takeaway
Businesses must now treat their data archives as active assets rather than dormant files to remain competitive in an AI-focused market. Organizations should prioritize updating their data management strategies to accommodate the projected long-term growth in information storage.
Further reading
For more information on the evolving data landscape, visit our Artificial Intelligence section.
Source note: This article includes information reported by Frontier Enterprise.
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