Frost Radar：2025 年混合雲端存儲

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個工作天內

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簡介目錄

基準化分析系統激勵主要企業－創新推動新的交易流程和成長管道

企業需要現代化的資料儲存解決方案來控制成本、確保穩定的效能並支援公司的永續目標。為了整合、管理和保護大量企業資料以供人工智慧等資料密集型應用使用，智慧企業正在轉向混合雲端儲存解決方案。

混合雲端儲存市場正處於新興階段，由於迫切需要有效整合和管理不斷成長的企業資料存儲，因此市場充滿活力且快速發展。目前，很少有供應商提供支援統一資料和多種儲存格式（文件和物件）和資料類型（結構化和非結構化）的完整解決方案。 Frost & Sullivan 認為需要一個完整的解決方案來支援結合不同格式和類型的公共和私有資料集的多模態AI 解決方案。理想情況下，為您的資料提供統一的全域命名空間的服務將為需要大型資料集的工作負載提供最佳效能和可擴充性。

雖然現在還處於早期階段，但市場機會巨大。 Frost & Sullivan預測，2024年市場規模約1,000億美元，未來六年年平均成長率約16%。一些提供者指出，隨著企業採用人工智慧和創建大型語言模型 (LLM) 的加速，這些估計值可能會成長得更快。

Frost & Sullivan 分析了某個行業內的大量公司。然後，根據領導力和其他特徵選定需要進一步分析的公司，並根據 10 項成長和創新標準進行基準測試，以揭示其在 Frost Radar™ 上的位置。它為 Frost Radar(TM) 上列出的每家公司提供了競爭概況，並討論了每家公司的優勢以及最適合這些優勢的商業機會。

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.