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市場調查報告書
商品編碼
1696219
全球人工智慧儲存市場 - 2025 至 2032 年Global AI-Powered Storage Market - 2025-2032 |
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2024 年全球人工智慧儲存市場規模達到 290.7 億美元,預計到 2032 年將達到 1,738.2 億美元,2025-2032 年預測期內的複合年成長率為 25.05%。
物聯網、雲端運算和人工智慧應用產生的非結構化資料的快速成長推動了人工智慧儲存市場的發展,因此需要先進的儲存解決方案。為了支援人工智慧工作負載,對即時資料處理和低延遲儲存的需求日益成長,推動了對高速智慧儲存系統的需求。邊緣運算的興起進一步加速了其採用,因為人工智慧儲存可以實現本地資料處理,減少對集中式雲端基礎架構的依賴。
為了滿足對先進儲存系統日益成長的需求,行業領導者正在積極投資這一領域。例如,2024 年 3 月,NVIDIA 推出了一個可大幅提高企業儲存效能的 AI資料平台,其中 BlueField DPU 的效能比傳統基於 CPU 的儲存高 1.6 倍,同時功耗降低 50%。
雲端運算解決方案的採用日益廣泛
基於雲端的解決方案的日益普及正在透過實現可擴展、經濟高效和高效的資料管理加速人工智慧儲存市場的發展。企業擴大利用人工智慧驅動的雲端儲存進行即時資料處理、自動化和預測分析。 70% 的組織正在採用基於雲端的解決方案來維持業務運作。
對混合和多雲環境的需求正在推動人工智慧儲存的創新,以實現無縫資料整合。例如,2024 年 11 月,Hitachi Vantara 透過其虛擬儲存平台 One 下的新解決方案擴展了其混合雲端儲存平台。最新產品包括具有公有雲複製功能的全 QLC 快閃儲存陣列和物件儲存設備,旨在增強 AI 和分析工作負載。
資料安全和隱私問題
由於處理和儲存的敏感資料量龐大,資料安全和隱私問題成為人工智慧儲存市場的主要限制因素。 HiddenLayer 最近的一項研究《2024 年人工智慧威脅情勢報告》顯示,人工智慧安全漏洞越來越令人擔憂,77% 的企業報告了過去一年與人工智慧相關的漏洞。該報告強調了人工智慧系統中的漏洞,並強調迫切需要採取更強力的安全措施。
網路威脅、資料外洩和未經授權存取的風險增加了 GDPR 和 CCPA 等法規的合規挑戰。實施強大的加密、存取控制和人工智慧驅動的安全措施的複雜性增加了營運成本。這些挑戰導致企業猶豫不決,減緩了人工智慧儲存技術的廣泛採用。
Global AI-powered storage market reached US$ 29.07 billion in 2024 and is expected to reach US$ 173.82 billion by 2032, growing with a CAGR of 25.05% during the forecast period 2025-2032.
The AI-powered storage market is driven by the exponential growth of unstructured data from IoT, cloud computing and AI applications, necessitating advanced storage solutions. The increasing need for real-time data processing and low-latency storage to support AI workloads fuels the demand for high-speed, intelligent storage systems. The rise of edge computing further accelerates adoption, as AI-powered storage enables local data processing, reducing reliance on centralized cloud infrastructure.
To meet the growing demand for advanced storage systems, industry leaders are actively investing in this sector for instance, in March 2024, NVIDIA unveiled an AI data platform that significantly enhances enterprise storage performance, with BlueField DPUs delivering 1.6 times higher performance than traditional CPU-based storage while consuming 50% less power.
Growing Adoption of Cloud-Based Solutions
The growing adoption of cloud-based solutions is accelerating the AI-powered storage market by enabling scalable, cost-effective and efficient data management. Businesses are increasingly leveraging AI-driven cloud storage for real-time data processing, automation and predictive analytics. 70% of organizations are adopting cloud-based solutions to sustain business operations.
The demand for hybrid and multi-cloud environments is driving innovations in AI-powered storage for seamless data integration. For instance, in November 2024, Hitachi Vantara expanded its Hybrid Cloud Storage Platform with new solutions under its Virtual Storage Platform One. The latest offerings include an all-QLC flash storage array with public cloud replication and an object storage appliance, aimed at enhancing AI and analytics workloads.
Data Security & Privacy Concerns
Data security and privacy concerns are major restraints in the AI-powered storage market due to the vast amounts of sensitive data processed and stored. A recent study by HiddenLayer, AI Threat Landscape Report 2024, reveals that AI security breaches are a growing concern, with 77% of businesses reporting an AI-related breach in the past year. The report highlights vulnerabilities in AI-powered systems, emphasizing the urgent need for stronger security measures.
The risk of cyber threats, data breaches and unauthorized access raises compliance challenges with regulations like GDPR and CCPA. The complexity of implementing robust encryption, access controls and AI-driven security measures adds to operational costs. These challenges contribute to hesitation among enterprises, slowing the widespread adoption of AI-powered storage technologies.
The global AI-powered storage market is segmented based on offering, storage system, storage architecture, storage medium, end-user and region.
HDDs Dominate a Substantial Share Driven by Its High Storage Capacity and Scalable Infrastructure for Managing Large-Scale Data Operations
Hard Disk Drives (HDDs) hold a significant share in the global AI-powered storage market due to their cost-effectiveness, high storage capacity and scalability. AI applications generate vast amounts of data, making HDDs a preferred choice for enterprises needing economical bulk storage. Their ability to support large-scale data centers and cloud storage solutions further strengthens their market presence.
Companies are responding by developing high-capacity drives, enhancing data density, optimizing energy efficiency and integrating AI-driven predictive analytics for reliability. For instance, in February 2024, Seagate Technology unveiled the SkyHawk AI 24TB HDD, designed for video and imaging applications (VIA) and AI-enabled enterprise NVRs. The new drive enhances AI-powered surveillance and data storage capabilities. This launch marks a strategic move to meet growing mass data demands in edge security.
North America's Advanced AI Adoption, Strong Cloud Infrastructure and Major Tech Companies Drive Innovation.
Rapid adoption of AI, big data and cloud computing drives demand for intelligent storage solutions. The increasing volume of unstructured data in industries like healthcare, finance and retail fuels market growth. The widespread use of IoT and edge computing enhances the need for efficient, scalable storage solutions. The growing number of data centers and hyperscale cloud providers strengthens market dominance. Enterprises in the U.S. and Canada prioritize AI-driven analytics, automation and cybersecurity, accelerating adoption.
Moreover, the increasing investments in AI-enhanced energy storage solutions, are critical for data centers and crypto mining operations are driving the market. In January 2025, SES AI Corporation signed an MOU with AISPEX to provide up to 100 MWh of AI-enhanced battery energy storage solutions, targeting a purchase order pipeline of up to $45 million. The partnership aims to extend battery life and enhance safety using SES's AI for Safety Battery Management System. The first deployment, set for 2025, includes a 30 MWh project worth up to $13 million at a crypto mining site in Texas, completed in two phases.
Sustainable Analysis
AI-driven storage solutions enhance data management by optimizing retrieval, categorization and predictive analytics. Innovations like NVMe, edge AI and quantum storage improve speed and processing power. Machine learning algorithms enhance data security, reducing risks of breaches and failures. Cloud-based AI storage is expanding, offering seamless integration and real-time insights.
In December 2024, Seagate announced to launch of its first high-capacity hard drive utilizing heat-assisted magnetic recording (HAMR) technology, offering up to 32TB of storage. This advancement is expected to meet the growing data storage demands driven by AI applications.
Competitive Landscape
The AI-powered storage market is highly competitive, driven by advancements in AI-driven data management, automation and predictive analytics. The major players in the market include Dell Inc., IBM, Pure Storage, Inc., NetApp, Seagate Technology LLC, Western Digital Corporation, NVIDIA Corporation, Micron Technology, Wiwynn Corporation and others.
Key Developments
Target Audience 2024
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