As per David Gomes, Manager – IT, the US cloud file storage market is undergoing a profound transformation, anticipated to reach over US$ 37.6 billion by 2033. This exceptional growth—driven by increasing hybrid cloud adoption, AI-augmented file storage platforms, and cost optimization demands—is reshaping how enterprises across industries manage, secure, and scale their data infrastructure.
Enterprise demand is particularly concentrated on scalable, compliant, and high-performance file storage solutions, with healthcare, financial services, and retail sectors leading adoption due to their massive unstructured data volumes and tight regulatory environments. The shift from traditional NAS and SAN systems to flexible cloud-based file storage architectures is driven by both cost dynamics and the need for real-time collaboration across distributed teams
What sets the US cloud file storage market apart is its strategic integration of AI and machine learning into core storage functionalities. These advancements have enabled intelligent tiering, predictive maintenance, and automated provisioning, fundamentally improving how data is stored and accessed. Companies like Nasuni, recently valued at $1.2 billion after a major investment round led by Vista Equity Partners, exemplify the rise of secure, enterprise-grade file storage platforms built for the hybrid cloud era. Nasuni’s solution is already deployed across 850+ enterprises in over 70 countries, streamlining data availability while bolstering ransomware protection and compliance with frameworks like HIPAA and CCPA
In a significant move, NetApp’s partnership with Google Cloud has strengthened the role of cloud file storage in AI workflows. Through Google Cloud NetApp Volumes, enterprises can now process petabyte-scale file datasets directly within Vertex AI. This enables seamless deployment of generative AI applications and data-intensive models, with NetApp’s ONTAP® delivering robust data governance and performance management. The service supports single file volumes from 15TiB to 1PiB, eliminating partitioning complexities, and achieves throughput levels of up to 30 GiB/s—making it ideal for financial modelling, healthcare imaging, and large-scale media rendering
The proliferation of 5G and edge computing has also become a key enabler for real-time cloud file access and low-latency performance. With edge devices generating unprecedented data volumes, cloud file storage providers are adapting by decentralizing their storage architectures. Solutions are now designed to dynamically cache and replicate data closer to endpoints while maintaining centralized control. This hybrid-edge evolution ensures performance without compromising data integrity or compliance
Regulatory pressures, especially those around data sovereignty, privacy, and auditability, are accelerating the adoption of encrypted and region-specific file storage systems. This is particularly evident among US-based banks and healthcare providers, where compliance with SOX, HIPAA, and GLBA necessitates precise control over data residency and access logging. Enterprise buyers are increasingly evaluating vendors based on their ability to offer SOC 2, ISO 27001, and FedRAMP-certified file storage environments, which explains why multi-cloud file storage vendors like Lucidity have gained traction. Lucidity’s new platform, Lumen, offers real-time insights and disk tiering automation across AWS, Azure, and Google Cloud, helping enterprises prevent overprovisioning and cut storage waste by over 30%
From a market investment perspective, the US file storage ecosystem is witnessing a rise in strategic alliances between infrastructure providers and AI-native firms. A prominent example is Pure Storage’s collaboration with CoreWeave, a leader in GPU-accelerated cloud services. The partnership is designed to optimize AI supercomputing workloads by embedding Pure Storage’s ultra-low latency flash systems into CoreWeave’s infrastructure, enabling high-speed access to massive file sets needed for AI model training and inference. This reflects a broader trend of specialized file storage solutions designed to support AI-native workloads in cloud-native environments
As the market matures, cost optimization remains a central driver. B2B enterprises are shifting from CapEx-heavy, on-premise storage hardware to Opex-based cloud file storage models. This migration not only reduces total cost of ownership but also streamlines IT operations, allowing faster deployment cycles and dynamic scaling during demand spikes. Additionally, innovations in deduplication, compression, and intelligent archival are further reducing file storage costs by up to 60% for large enterprises
Executives and CIOs should note that the future of cloud file storage is tightly linked to AI readiness, compliance capability, and multi-cloud flexibility. As per David Gomes, successful vendors in this market will be those who offer seamless data mobility across environments, integrate analytics at the storage layer, and deliver on zero-trust architecture principles. Industry leaders are advised to assess cloud file storage partners based on their ability to support emerging workloads like AI-generated data, video surveillance archives, and remote collaboration files, while ensuring cost predictability and data integrity
Authors: David Gomes (Manager - IT)
*Research Methodology: This report is based on DataCube’s proprietary 3-stage forecasting model, combining primary research, secondary data triangulation, and expert validation. [Learn more