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市场调查报告书
商品编码
1696219
全球人工智慧储存市场 - 2025 至 2032 年Global AI-Powered Storage Market - 2025-2032 |
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2024 年全球人工智慧储存市场规模达到 290.7 亿美元,预计到 2032 年将达到 1,738.2 亿美元,2025-2032 年预测期内的复合年增长率为 25.05%。
物联网、云端运算和人工智慧应用产生的非结构化资料的快速成长推动了人工智慧储存市场的发展,因此需要先进的储存解决方案。为了支援人工智慧工作负载,对即时资料处理和低延迟储存的需求日益增长,推动了对高速智慧储存系统的需求。边缘运算的兴起进一步加速了其采用,因为人工智慧储存可以实现本地资料处理,减少对集中式云端基础架构的依赖。
为了满足对先进储存系统日益增长的需求,行业领导者正在积极投资这一领域。例如,2024 年 3 月,NVIDIA 推出了一个可大幅提高企业储存效能的 AI资料平台,其中 BlueField DPU 的效能比传统基于 CPU 的储存高 1.6 倍,同时功耗降低 50%。
云端运算解决方案的采用日益广泛
基于云端的解决方案的日益普及正在透过实现可扩展、经济高效和高效的资料管理加速人工智慧储存市场的发展。企业越来越多地利用人工智慧驱动的云端储存进行即时资料处理、自动化和预测分析。 70% 的组织正在采用基于云端的解决方案来维持业务运作。
对混合和多云环境的需求正在推动人工智慧储存的创新,以实现无缝资料整合。例如,2024 年 11 月,Hitachi Vantara 透过其虚拟储存平台 One 下的新解决方案扩展了其混合云端储存平台。最新产品包括具有公有云复製功能的全 QLC 快闪储存阵列和物件储存设备,旨在增强 AI 和分析工作负载。
资料安全和隐私问题
由于处理和储存的敏感资料量庞大,资料安全和隐私问题成为人工智慧储存市场的主要限制因素。 HiddenLayer 最近的一项研究《2024 年人工智慧威胁情势报告》显示,人工智慧安全漏洞越来越令人担忧,77% 的企业报告了过去一年与人工智慧相关的漏洞。该报告强调了人工智慧系统中的漏洞,并强调迫切需要采取更强有力的安全措施。
网路威胁、资料外洩和未经授权存取的风险增加了 GDPR 和 CCPA 等法规的合规挑战。实施强大的加密、存取控制和人工智慧驱动的安全措施的复杂性增加了营运成本。这些挑战导致企业犹豫不决,减缓了人工智慧储存技术的广泛采用。
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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