The rise of generative AI (GenAI), immersive technologies, and the Internet of Things (IoT) is generating massive data streams — but managing these efficiently is no small feat. Today, enterprise data is scattered across public, private, edge, and on-premises environments — in multiple formats, structures, locations, and modalities. Now, as advancing technologies drive exponential data growth, connecting disparate and siloed data infrastructures is becoming more complex. Further, facilitating the high-speed processing and security that AI inevitably demands is next to impossible without unified data storage and management.
Enter hybrid cloud storage: a smarter, more scalable path to data orchestration and security. Set to grow at a CAGR of 16% over the next 6 years, now is the time for providers to focus on the following strategic imperatives:
- Internal Challenges: Eliminating silos between various data workloads, applications, and locations
- Transformative Megatrends: Complying with dynamic data handling, privacy, and security regulations across different regions
- Industry Convergence: Delivering end-to-end integrated data services for security, storage, and disaster recovery
For enabling multimodal AI, organizations require end-to-end data solutions. To that end, Frost & Sullivan’s latest analysis reveals:
- Strategic imperatives revolutionizing the hybrid cloud storage.
- Technology strategies for enhancing data handling and optimizing cybersecurity.
- Competitive benchmarking and best practices of providers like Nasuni, CTERA, Panzura.
- Growth opportunities that providers can use to future-proof revenue pipelines.
Why Hybrid Cloud — Enabling AI-Ready, Security-first Data Strategies
Today, only a handful of vendors deliver end-to-end solutions that support unified data management across varied storage formats and data types. Going forward, as the adoption of AI and large language models (LLMs) rises, several growth opportunities emerge, especially for early movers:
- Developing edge-to-cloud hybrid storage options for faster data processing, lower latency, and better application performance.
- Prioritizing built-in cybersecurity and certifications for data immutability and geo-dispersed replication, to protect customers from ransomware.
- Incorporating AIOps into hybrid cloud storage platforms to streamline data orchestration, reduce operational complexity, and minimize storage costs.
Download full analysis to refine and optimize your organization’s data strategies today!
Next Steps: Future-proof Your Organization’s Data Management Strategies
Hybrid cloud strategies are no longer optional — they are essential for the success of digital transformation initiatives. Enterprises embracing this shift can drive faster innovation, reduce costs, and secure their data across complex environments. This implies that cloud-based providers that proactively address siloed environments, regulatory demands, and security threats are well positioned to help enterprises of the future unlock the full potential of GenAI, IoT, and immersive technologies. The question is — Which frameworks will help you identify the right cloud-based providers for your organization?
This blog is based on the recent analysis, Frost Radar™: Hybrid Cloud Storage, 2025, by Frost & Sullivan’s growth expert, Karyn Price, from the Cloud Technologies team.
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