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AI Powered Storage Market Report
SKU: ICT9357

AI Powered Storage Market - Size, Share and Forecast (2025-2032)

AI Powered Storage Market is Segmented as By Offering (Hardware, Software) By Storage System(Direct-attached Storage (DAS), Network-attached Storage (NAS), Storage Area Network (SAN)) By Storage Architecture(File Based Storage, Object Storage, Block Storage) By Storage Medium (Hard Disk Drive (HDD), Solid State Drive (SSD), By End-User (Enterprises, Government Bodies, Cloud Service Providers, Cloud Service Providers, Others) and By Region (North America, Latin America, Europe, Asia Pacific, Middle East, and Africa)

Last Updated: || Author: Mansi Goel || Reviewed: Monica Shevgan

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180 pages
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Report Summary
Table of Contents

AI Powered Storage Market Overview

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.

AI Powered Storage Market (2023-2032)

AI Powered Storage Market Scope

MetricsDetails
By OfferingHardware and Software
By Storage SystemDirect-attached Storage (DAS), Network-attached Storage (NAS) and Storage Area Network (SAN)
By Storage ArchitectureFile Based Storage, Object Storage and Block Storage
By Storage MediumHard Disk Drive (HDD) and Solid State Drive (SSD)
By End-UserEnterprises, Government Bodies, Cloud Service Providers, Telecom Companies and Others
By RegionNorth America, South America, Europe, Asia-Pacific and Middle East Africa
Report Insights CoveredCompetitive Landscape Analysis, Company Profile Analysis, Market Size, Share, Growth

AI Powered Storage Market Dynamics

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.

AI Powered Storage Market Segment Overview

The Hard Disk Drive (HDD) segment expanded from US$ 5.61 billion in 2022 to US$ 7.02 billion in 2023, owing to rising adoption in the global market.

The global AI-powered storage market is segmented based on offering, storage system, storage architecture, storage medium, end-user and region.

AI Powered Storage Market , By Type (2024)

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.

AI Powered Storage Market Geographical Penetration

North America's Advanced AI Adoption, Strong Cloud Infrastructure and Major Tech Companies Drive Innovation.

North America led the Global AI-powered storage Market in 2022 with a market size of US$ 6.03 billion and expanded further to US$ 7.81 billion in 2023.

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.

AI Powered Storage Market 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 of AI Powered Storage Market

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 in AI Powered Storage Market

  • In March 2025, Huawei launched AI-ready data storage to help carriers accelerate their AI transformation. Huawei aims to support carriers in monetizing AI-driven applications like smart homes and digital factories.
  • In May 2024, NetApp launched its new AFF A-Series unified data storage, designed for AI-era workloads like GenAI, VMware and enterprise databases. The intelligent data infrastructure simplifies operations at scale and enhances efficiency. The company also expanded its portfolio to support customers in leveraging data for innovation.
  • In January 2024, Wasabi Technologies announced AI-powered intelligent storage for the media and entertainment industry with the acquisition of Curio AI from GrayMeta. The deal includes Curio's IP and team, with GrayMeta CEO Aaron Edell joining Wasabi as SVP of AI and Machine Learning. 

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Target Audience 2024

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies
FAQ’s

  • The global AI-powered storage market reached US$ 29.07 billion in 2024 and is projected to grow to US$ 173.82 billion by 2032, with a robust CAGR of 25.05% during 2025–2032.

  • Key players are Dell Inc., IBM, Pure Storage, Seagate Technology, Western Digital, NetApp, NVIDIA, Huawei, Micron, and Wiwynn Corporation.

  • In December 2024, Seagate introduced its first HAMR-based 32TB HDD, and in March 2025, Huawei launched AI-ready data storage to support carriers' transformation through smart homes and digital factories.

  • Innovations like NVMe protocols, heat-assisted magnetic recording (HAMR), machine learning-based predictive analytics, and edge-AI integration are reshaping the storage landscape.

  • Major growth drivers include the explosion of unstructured data, adoption of hybrid cloud, demand for real-time analytics, and advancements in AI workloads and edge computing.
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