North America Cloud File Storage Market Size and Forecast by Type, Deployment Model, Organization Size, Subscription Model, End User Industry, Use Case, and Country: 2019-2032

North America Cloud File Storage Market Outlook

The North America Cloud File Storage Market is witnessing unprecedented transformation, evolving as a strategic pillar for AI-native workloads, secure digital collaboration, and scalable infrastructure across major economies such as the United States, Canada, and Mexico.

As per David Gomes, Manager – IT, the region is expected to surpass US$ 40 billion in combined market value by 2033, with strong CAGR momentum driven by enterprise AI deployment, hybrid cloud initiatives, regulatory mandates, and data-driven decision-making. The market’s direction is being reshaped not just by storage volume needs, but by how enterprises derive real-time value, performance, and compliance from their file-based infrastructure

In the United States, demand is accelerating for intelligent file storage solutions that support AI and machine learning workflows, reduce operational overhead, and provide robust data mobility across cloud ecosystems. The rise of cloud-native providers like Nasuni, which serves over 850 enterprises globally and recently secured a $1.2 billion valuation, reflects a new model where unstructured data is stored, shared, and protected within a unified platform. These platforms are AI-augmented, enabling features such as predictive file tiering, real-time ransomware protection, and compliance management. Nasuni’s focus on regulated sectors—especially healthcare, finance, and legal—highlights how data privacy frameworks like HIPAA, GLBA, and CCPA are influencing enterprise storage strategies

Strategic collaborations are also shaping innovation velocity. NetApp’s expanded partnership with Google Cloud through its NetApp Volumes service illustrates how cloud file storage is no longer just an IT function, but a backbone for AI infrastructure.

The integration with Vertex AI allows companies to process petabyte-scale datasets with high throughput, supporting use cases like medical imaging, predictive analytics, and media rendering. For example, the solution's capability to manage up to 1PiB in a single file volume with 30 GiB/s throughput eliminates traditional performance bottlenecks, making it an essential component of data-centric AI applications

Canada’s cloud file storage landscape is defined by a balance of compliance, performance, and hybrid flexibility. Enterprises are increasingly shifting from traditional NAS hardware to cloud-native file systems that offer low-latency access, elastic scalability, and seamless integration with productivity tools.

Companies like Financial Cents are capitalizing on this shift by offering compliant file storage tailored to industries like accounting and consulting, which must adhere to local data laws under Canada’s Digital Charter and Quebec’s Law 25. Canadian buyers prioritize data residency, encryption, and audit readiness—an alignment that is positioning localized file storage vendors for long-term relevance

Hybrid file storage is gaining traction in Canada as businesses embrace infrastructure that bridges on-prem and cloud environments. Active data is often stored in the cloud for accessibility, while archival data resides on local hardware to optimize costs and recovery times. This architecture ensures agility while complying with frameworks like PIPEDA and SOC 2. Education institutions, engineering firms, and digital content creators are leveraging this hybrid approach to manage complex data workflows involving large media files, CAD drawings, and academic datasets

Meanwhile, Mexico’s cloud file storage sector is undergoing a rapid digital shift. With the rollout of AWS’s $5 billion Mexico Cloud Region in 2025, the foundation has been laid for a surge in regional file storage deployments. This infrastructure expansion supports compliance with Mexico’s personal data protection law (Ley Federal de Protección de Datos Personales), allowing enterprises to securely store and manage sensitive files locally.

Sectors such as media, edtech, and healthcare are early adopters, deploying file-based storage to support video content, e-learning platforms, and electronic health records with high availability and secure collaboration

AI-driven storage solutions are gaining momentum in Mexico, where startups and cloud-native platforms are offering intelligent tagging, metadata indexing, and automated file lifecycle management. These features streamline operations in data-heavy industries while supporting remote workforces.

Additionally, Mexico rising cybersecurity concerns have prompted investments in immutable storage, real-time access monitoring, and zero-trust file sharing protocols to prevent data breaches and ransomware threats

Across North America, the proliferation of edge computing, remote collaboration, and AI workloads is redefining the role of cloud file storage. B2B enterprises now expect dynamic scalability, real-time sync, and native integration with business applications such as Microsoft 365, Dropbox, and vertical-specific ERPs.

Innovations in deduplication and intelligent archival are enabling enterprises to cut storage costs by over 50% without sacrificing performance. Moreover, regional latency zones—particularly in Canada and Mexico—are helping reduce dependence on U.S. infrastructure, enhancing performance and compliance simultaneously

Moreover, the future of cloud file storage in North America hinges on three pillars: AI readiness, compliance assurance, and hybrid cloud flexibility. Vendors who deliver encrypted, multi-cloud file systems with built-in analytics and role-based access controls will lead the next growth phase.

Executives and CIOs are advised to assess solutions not only for storage efficiency but for their ability to support distributed teams, AI pipelines, and regulated data environments in an era of cloud-first operations

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]