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市場調査レポート
商品コード
1771041
クラウドネイティブストレージ市場- 世界の産業規模、シェア、動向、機会、予測:コンポーネント別、デプロイメント別、業界別、地域別セグメント、競合、2020年~2030年Cloud Native Storage Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, By Component, By Deployment, By Vertical, By Region & Competition, 2020-2030F |
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カスタマイズ可能
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クラウドネイティブストレージ市場- 世界の産業規模、シェア、動向、機会、予測:コンポーネント別、デプロイメント別、業界別、地域別セグメント、競合、2020年~2030年 |
出版日: 2025年07月14日
発行: TechSci Research
ページ情報: 英文 185 Pages
納期: 2~3営業日
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クラウドネイティブストレージの世界市場規模は、2024年に170億3,000万米ドルとなり、2030年には542億8,000万米ドルに達すると予測され、予測期間中のCAGRは21.31%で成長すると予測されます。
クラウドネイティブストレージは、コンテナ化されたアプリケーション、マイクロサービス、Kubernetesのようなオーケストレーションプラットフォームなど、クラウドネイティブ環境でシームレスに動作するように特別に構築されたストレージソリューションを指します。これらのストレージシステムは、高い拡張性、柔軟性、自動化を実現するように設計されており、永続的なデータ管理、動的プロビジョニング、リアルタイムアクセスを可能にし、最新の分散アプリケーション開発の要求に応えます。
市場概要 | |
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予測期間 | 2026-2030 |
市場規模:2024年 | 170億3,000万米ドル |
市場規模:2030年 | 542億8,000万米ドル |
CAGR:2025年~2030年 | 21.31% |
急成長セグメント | BFSI |
最大市場 | 北米 |
企業がデジタルトランスフォーメーションの旅を進め、ハイブリッドやマルチクラウドアーキテクチャの採用が進むにつれ、クラウドネイティブストレージのニーズは拡大しています。これらのソリューションは、進化するデータ使用パターンに適応する信頼性の高い高性能ストレージを確保することで、DevOpsの実践、CI/CDワークフロー、リアルタイム分析をサポートする上で重要な役割を果たします。AI/MLワークロード、エッジコンピューティング、IoT導入の急速な成長は、最新のクラウドネイティブなエコシステムに最適化された、インテリジェントで分散型、ポリシー駆動型のストレージインフラに対する需要をさらに際立たせています。
企業全体でのコンテナ化アプリケーションの急速な採用
分散環境におけるデータの一貫性管理の複雑さ
インテリジェントなデータ管理のための人工知能の統合
The Global Cloud Native Storage Market was valued at USD 17.03 billion in 2024 and is projected to reach USD 54.28 billion by 2030, growing at a CAGR of 21.31% during the forecast period. Cloud native storage refers to storage solutions specifically built to operate seamlessly within cloud-native environments, including containerized applications, microservices, and orchestration platforms like Kubernetes. These storage systems are designed to be highly scalable, flexible, and automated, enabling persistent data management, dynamic provisioning, and real-time access to meet the demands of modern, distributed application development.
Market Overview | |
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Forecast Period | 2026-2030 |
Market Size 2024 | USD 17.03 Billion |
Market Size 2030 | USD 54.28 Billion |
CAGR 2025-2030 | 21.31% |
Fastest Growing Segment | BFSI |
Largest Market | North America |
As enterprises advance their digital transformation journeys and increasingly adopt hybrid and multi-cloud architectures, the need for cloud native storage is expanding. These solutions play a critical role in supporting DevOps practices, CI/CD workflows, and real-time analytics by ensuring reliable, high-performance storage that adapts to evolving data usage patterns. The rapid growth of AI/ML workloads, edge computing, and IoT deployments further underscores the demand for intelligent, distributed, and policy-driven storage infrastructure that is optimized for modern cloud-native ecosystems.
Key Market Drivers
Rapid Adoption of Containerized Applications Across Enterprises
The widespread adoption of containers and orchestration tools such as Kubernetes has significantly boosted the need for dynamic, persistent storage systems that can integrate directly into these environments. Traditional storage models are often ill-suited to the demands of container-based workloads, prompting organizations to shift to cloud native storage solutions. These systems offer persistent volume management, automated provisioning, and multi-tenant support-features essential for scalable and efficient microservices architectures.
With containers becoming a cornerstone of enterprise IT infrastructure, storage systems must align with the lifecycle of containerized applications. Cloud native storage enables this alignment by offering capabilities such as failover automation, availability zone awareness, and seamless orchestration integration. According to industry data from Kubernetes usage metrics and container orchestration deployments, over 85% of container-using organizations in 2024 have either adopted or plan to implement cloud native storage solutions to support their production environments.
Key Market Challenges
Complexity in Managing Data Consistency Across Distributed Environments
Maintaining consistent and synchronized data across decentralized cloud-native systems presents a substantial technical challenge. In contrast to traditional centralized architectures, cloud native storage supports workloads that span across cloud providers and edge locations. This distribution introduces complexity in maintaining data integrity, especially for stateful applications requiring high levels of consistency and durability.
Managing persistent volumes, orchestrating replication policies, and ensuring seamless failover across clusters are all critical tasks that demand precise coordination. Small discrepancies in data synchronization or orchestration logic can result in data corruption, service disruption, or increased operational risk. These challenges are particularly acute in high-performance applications such as real-time databases and financial systems, where even brief inconsistencies can lead to major operational impacts. Enterprises must invest in advanced storage orchestration tools and monitoring frameworks to mitigate these risks, posing an additional layer of complexity and cost.
Key Market Trends
Integration of Artificial Intelligence for Intelligent Data Management
The integration of artificial intelligence into cloud native storage platforms is a growing trend that is reshaping how organizations manage and optimize their storage environments. AI enables these systems to become more proactive and adaptive by analyzing usage patterns, predicting resource demands, and automating performance tuning. This results in improved storage efficiency, lower costs, and enhanced system reliability.
Vendors are embedding AI capabilities into the storage control plane to offer features such as predictive maintenance, automated data tiering, failure forecasting, and policy-driven data placement. These intelligent storage solutions are increasingly essential in data-intensive industries such as finance, healthcare, and autonomous systems, where performance and availability are critical. As enterprises continue to demand smarter infrastructure, AI-powered cloud native storage is evolving from an innovation into a necessity, providing the intelligence required to support high-growth, latency-sensitive applications at scale.
In this report, the Global Cloud Native Storage Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Cloud Native Storage Market.
Global Cloud Native Storage Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: