Frost Radar：2025 年混合云端存储

Frost Radar: Hybrid Cloud Storage, 2025

出版日期: 2025年04月04日 | 出版商:

Frost & Sullivan | 英文 23 Pages | 商品交期: 最快1-2个工作天内

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基准化分析系统激励主要企业－创新推动新的交易流程和成长管道

企业需要现代化的资料储存解决方案来控製成本、确保稳定的效能并支援公司的永续目标。为了整合、管理和保护大量企业资料以供人工智慧等资料密集型应用使用，智慧企业正在转向混合云端储存解决方案。

混合云端储存市场正处于新兴阶段，由于迫切需要有效整合和管理不断增长的企业资料存储，因此市场充满活力且快速发展。目前，很少有供应商提供支援统一资料和多种储存格式（文件和物件）和资料类型（结构化和非结构化）的完整解决方案。 Frost & Sullivan 认为需要一个完整的解决方案来支援结合不同格式和类型的公共和私有资料集的多模态AI 解决方案。理想情况下，为您的资料提供统一的全域命名空间的服务将为需要大型资料集的工作负载提供最佳效能和可扩充性。

虽然现在还处于早期阶段，但市场机会巨大。 Frost & Sullivan预测，2024年市场规模约1,000亿美元，未来六年年平均成长率约16%。一些提供者指出，随着企业采用人工智慧和创建大型语言模型 (LLM) 的加速，这些估计值可能会成长得更快。

Frost & Sullivan 分析了某个行业内的大量公司。然后，根据领导力和其他特征选定需要进一步分析的公司，并根据 10 项成长和创新标准进行基准测试，以揭示其在 Frost Radar™ 上的位置。它为 Frost Radar(TM) 上列出的每家公司提供了竞争概况，并讨论了每家公司的优势以及最适合这些优势的商业机会。

Business requires modern data storage solutions that manage costs, ensure consistent performance, and support corporate sustainability goals. To unify, manage, and secure voluminous enterprise data for use in data-heavy applications, such as AI, savvy businesses are turning to hybrid cloud storage solutions.

The hybrid cloud storage market is in the emerging stages: it is dynamic and rapidly evolving based on the urgent need to efficiently unify and manage growing enterprise data stores. Today, few vendors provide a complete solution that supports unified data and multiple storage formats (file and object) and data types (structured and unstructured). Frost & Sullivan believes that a full solution is necessary to support multimodal AI solutions, which draw from a combination of public and private datasets of a variety of formats and types. Ideally, a service offering a global namespace to unify data offers the best performance and scalability for workloads requiring large-scale datasets.

Despite being nascent, the market opportunity is immense. Frost & Sullivan estimates that the market generated about $100 billion in 2024, with a projected compound annual growth rate of about 16% over the next 6 years. Some providers noted that these estimates could increase more rapidly if business adoption of AI and creation of large language models (LLMs) accelerate.

Frost & Sullivan analyzes numerous companies in an industry. Those selected for further analysis based on their leadership or other distinctions are benchmarked across 10 Growth and Innovation criteria to reveal their position on the Frost Radar™. The publication presents competitive profiles of each company on the Frost Radar™ considering their strengths and the opportunities that best fit those strengths.