AI Powered Storage Market Size, Share & Trends Analysis Report By Component, By Storage System (Direct-attached Storage, Network-attached Storage, Storage Area Network), By Storage Medium, By End-user, By Region, And Segment Forecasts, 2025 - 2030

AI Powered Storage Market Size & Trends

The global AI powered storage market size was estimated at USD 30.57 billion in 2024 and is projected to grow at a CAGR of 25.9% from 2025 to 2030. AI powered storage solutions use artificial intelligence to make storing and accessing data more efficient, secure, and streamlined. These systems handle tasks such as managing data, planning storage capacity, and monitoring security automatically, allowing IT teams to concentrate on more important, high-level projects. The demand for AI powered storage is anticipated to be driven by the rapid increase in data, the spread of cloud services, and the rising need for AI in high-performance computing (HPC) centers. The upgradation in storage systems also drives this growth, the rise of data analytics, and the growing use of AI tools to handle and organize business data.

There are key initiatives of major companies for AI powered storageindustry. For instance, in April 2025, Lenovo announced its largest-ever data storage portfolio refresh, unveiling 21 new ThinkSystem and ThinkAgile models optimized for AI, virtualization, and sustainability. The new solutions feature industry-first liquid-cooled hyperconverged infrastructure appliances, AI Starter Kits, and converged hybrid cloud offerings designed to accelerate IT modernization and support enterprise AI workloads. These innovations deliver up to 3x faster performance, significant energy savings, and enhanced security with AI-powered ransomware protection. With this launch, Lenovo empowers organizations to modernize their infrastructure, streamline deployment, and confidently scale AI and data operations for the future.

Component Insights

The hardware segment led the market and accounted for 69% of the global revenue in 2024. The segment is experiencing robust growth, driven by the exponential increase in data generation and the demand for faster data processing. Innovations in high-performance storage systems such as NVMe-based SSDs, AI-optimized GPUs, and FPGA-accelerated solutions are key enablers for real-time analytics and machine learning workloads. Enterprises across sectors like healthcare, finance, and autonomous vehicles are investing in AI-centric storage infrastructure to improve data throughput and reduce latency. This trend creates opportunities for hardware manufacturers to develop intelligent, scalable, and energy-efficient storage solutions. Additionally, edge computing and hybrid cloud architectures boost demand for AI-integrated storage hardware, particularly in scenarios requiring low-latency access and decentralized processing.

The software segment is predicted to foresee significant growth, with a CAGR of 31% over the forecast period. Technological advancement, data demands, and operational needs are the key factors driving the software component in the AI powered storageindustry. Key software components are Intelligent data tiering, Predictive analytics, AIOps, Metadata management, and many more. For instance, in March 2025, NVIDIA introduced the AI Data Platform. This flexible reference design allows storage providers to create AI query agents using NVIDIA NIM microservices and Blackwell GPUs for delivering real-time insights in enterprise environments. Collaborating with partners such as Dell, HPE, and Pure Storage, the platform integrates BlueField DPUs and Spectrum-X networking to boost AI reasoning performance. It improves data retrieval speeds by up to 15 times and supports hybrid AI deployments across structured and unstructured data.

Storage System Insights

The Direct-attached Storage (DAS) segment accounted for the largest market revenue share in 2024 due to its fast access and transfer speeds. Direct-Attached Storage (DAS) is best for high-performance data storage requirements. It allows data scientists and AI professionals to spend less time on data transfers and more time developing and refining their models. It also offers low-latency data access. With AI models often requiring fast access to training datasets, DAS provides a compelling solution for real-time processing in edge devices, robotics, and industrial automation. Its simplicity and scalability make it attractive for small-scale AI deployments and embedded systems. DAS is positioned to gain traction in decentralized AI infrastructure as edge AI adoption increases.

The Storage Area Network (SAN) segment is anticipated to exhibit the highest CAGR over the forecast period. The growth of this segment is largely driven by the widespread adoption of SANs among small and medium-sized enterprises (SMEs), primarily due to their low setup costs. SANs enable data centers to work together efficiently to store large data volumes. They offer numerous benefits, such as removing bandwidth limitations associated with LAN-based storage, ensuring high availability, enabling centralized data management, speeding up backups, supporting a global file system, enabling quick data migration, and enhancing security and data protection. Additionally, organizations are increasingly looking to scale their storage capacity beyond existing limits to support the demands of AI-driven infrastructure and workloads.

Storage Medium Insights

The Hard Disk Drive (HDD) segment accounted for the largest market revenue share in 2024. They are commonly used to meet the demands of AI storage mediums and handle both AI and data workloads with the help of their high-speed data writing capabilities. During the supply chain disruptions caused by the COVID-19 pandemic, many large data centers and enterprise clients overstocked on storage products in anticipation of shortages. Major key initiatives, for instance, in May 2024, Hitachi Vantara expanded its Virtual Storage Platform One portfolio by launching a new block storage appliance designed for mid-sized enterprises. The platform delivers breakthroughs in simplicity, security, and sustainability, offering features like intrinsic anti-ransomware protection, dynamic carbon reduction, and easy cloud-based management. With the ability to optimize rack space, reduce power consumption by up to 40%, and guarantee 100% data availability, the solution empowers businesses to manage structured and unstructured data across hybrid cloud environments efficiently.

The Solid-State Drive (SSD) segment is anticipated to exhibit the highest CAGR over the forecast period. Businesses are increasingly using tools to compress and remove unneeded data, helping to free up valuable space on their SSDs. This is especially important for organizations that need large amounts of data storage to boost performance, efficiency, and customer service. Major initiatives, for instance, in April 2025, Dell Technologies doubled storage density for AI workloads by integrating Solidigm’s groundbreaking 122TB D5-P5336 SSDs into its PowerScale systems, enabling up to 6 petabytes of storage per node. This innovation delivers unmatched capacity, energy efficiency, and scalability, empowering organizations to meet the demands of data-driven AI storage mediums.

End-user Insights

The enterprises segment accounted for the largest market revenue share in 2024. AI powered storage delivers real-time updates from various business sources, enabling optimized data handling and intelligent automated operations with minimal human input. Moreover, leading companies are introducing new upgrades and improvements to modify for enterprise use. For instance, in March 2025, Hewlett Packard Enterprise Development LP(HPE) introduced a unified data layer for AI with upgraded HPE Alletra Storage MP models, designed to accelerate AI data pipelines using built-in intelligence, automated metadata tagging, and ransomware protection. In partnership with NVIDIA’s AI Data Platform, the solution ensures smooth, AI-ready data access across hybrid and multicloud environments, allowing enterprises to scale AI operations while enhancing data governance and security. These new solutions will be available beginning May 2025.

The cloud service providers segment is expected to exhibit the highest CAGR over the forecast period. Cloud-based storage mediums have transformed the business, especially during the COVID-19 pandemic. Many organizations are adopting cloud platforms for their unmatched flexibility and reliability. These solutions also offer high adaptability and environmental benefits, further driving the growth of the market. Major initiatives, for instance, in March 2025, Dell Technologies introduced new solutions that seamlessly integrate advanced AI capabilities across PCs and data centers. These offerings accelerate enterprise AI innovation by empowering organizations to harness AI-driven insights, improve productivity, and drive business transformation. With a focus on scalable infrastructure and secure data management, Dell is enabling customers to unlock the full potential of AI for their digital future.

Regional Insights

North America dominated with a revenue share of over 38.0% in 2024. North America has been at the forefront of AI-powered storage, including developing and adopting technologies. Enterprises in the region are increasingly implementing AI-powered storage systems to protect their confidential and important data due to rapid technological progress and growing digitization. The market's growth is further supported by the strong presence of major data storage providers, rising awareness, access to skilled professionals, and the growing adoption of AI in the financial sector.

U.S. AI Powered Storage Market Trends

The U.S. AI powered storage market had the largest revenue share, 69.0%, in 2024. The shift towards AI powered storage systems, such as Direct-attached Storage (DAS), Network-attached Storage (NAS), and Storage Area Network (SAN), gained significant momentum in the country. Increasing data volumes, AI adoption, and data management efficiency drive the market.

Europe AI Powered Storage Market Trends

The AI powered storage market in Europe is expected to witness significant growth over the forecast period. The European Union's push towards Industry 4.0 and smart manufacturing fuels demand for the market. The integration of automation and digital technologies in storing and industrial data requires powered, secure storage to protect these systems and ensure safe operations.

Asia Pacific AI Powered Storage Market Trends

The AI powered storage market in the Asia Pacific region is anticipated to register the highest CAGR over the forecast period. The Asia-Pacific region is experiencing fast-paced industrialization and urbanization. This rapid development drives the need for advanced AI powered storage to secure and store confidential business data, finance, and projects. Moreover, developing advanced AI powered storage in the Asia-Pacific region involves integrating advanced technologies, including powered storage systems, to enhance security and operational efficiency. These initiatives boost the adoption of modern AI powered storage solutions.

Key AI Powered Storage Company Insights

Key industrial access control companies include Windward Ltd., Orca AI., and Sea Machines Robotics, Inc. Companies active in the AI powered storage market focus aggressively on expanding their customer base and gaining a competitive edge over their rivals. Hence, they pursue various strategic initiatives, including partnerships, mergers & acquisitions, collaborations, and new storage system development. For instance, in March 2025, Spire Global introduced two advanced AI weather models, AI-WX and AI-S2S, developed using NVIDIA’s Omniverse Blueprint for Earth-2. Powered by proprietary satellite data and NVIDIA GPUs, these models generate medium-range to sub-seasonal forecasts up to 45 days ahead, operating 1,000 times faster than traditional forecasting methods. The models offer greater accuracy and insights to help sectors such as energy and commodities more effectively manage weather-related risks.

• Dell Technologies is a global player dedicated to driving human progress through innovative technology solutions. With a strong presence in over 180 countries, Dell delivers a comprehensive portfolio of products and services, including cutting-edge AI powered storage solutions. The company empowers organizations to harness the power of artificial intelligence for smarter data management and accelerated business outcomes. Dell’s commitment to innovation and customer success positions it at the forefront of the digital transformation era.

• IBM is a global technology provider with a mission to make the world work better by driving positive impact through business ethics, environmental commitment, and responsible technology. Operating in over 170 countries, IBM leverages its expertise in AI, hybrid cloud, and advanced computing to help businesses modernize, automate, and secure their operations. With 12 research laboratories across six continents, IBM has been at the forefront of innovation for over a century, continuously blending intelligence and science to improve business and society. The company also actively supports sustainability and social equity initiatives, partnering with nonprofits and governments to address global challenges like climate change. Through its Partner Plus program and tailored solutions, IBM empowers organizations to unlock the value of their data and thrive in the era of generative AI.

Recent Developments

• In April 2025, OpenAI partnered with Microsoft Azure Blob Storage to support its rapid growth and complexity in AI model development. Leveraging Azure’s enhanced scaled accounts, OpenAI seamlessly manages massive data ingestion, processing, and distribution for its products, including ChatGPT. This collaboration has significantly improved storage efficiency, disaster recovery, and throughput, empowering OpenAI to advance AI research and innovation. The partnership ensures OpenAI can focus on pushing the boundaries of artificial intelligence with reliability and scale.

• In March 2025, NetApp announced that its storage solutions are now validated for NVIDIA DGX SuperPOD and NVIDIA Cloud, enabling enterprises to accelerate AI workloads with high-performance, scalable data management. This validation ensures seamless integration and optimized performance for AI and machine learning storage mediums. The collaboration empowers organizations to unlock new levels of innovation and efficiency in their AI initiatives.

• In April 2025, StormGeo partnered with Awake.AI to incorporate Awake.AI’s advanced port call analytics into its s-Insight voyage optimization platform. This integration improves estimated time of arrival (ETA) accuracy, offers better insights into port congestion, and supports just-in-time arrivals, ultimately lowering fuel use and emissions. Awake.AI’s AI-powered platform processes data from over 3,000 ports and conducts more than 1.5 million voyage predictions daily, helping streamline port operations and enhance vessel efficiency.

AI Powered Storage Market Report Scope

Global AI Powered Storage Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global industrial access control market report based on component, storage system, storage medium, end-user, and region.

• Component Outlook (Revenue, USD Million, 2017 - 2030)

  • Hardware

  • Software

• Storage System Outlook (Revenue, USD Million, 2017 - 2030)

  • Direct-attached Storage (DAS)

  • Network-attached Storage (NAS)

  • Storage Area Network (SAN)

• Storage Medium Outlook (Revenue, USD Million, 2017 - 2030)

  • Hard Disk Drive (HDD)

  • Solid State Drive (SSD)

• End-user Outlook (Revenue, USD Million, 2017 - 2030)

  • Enterprises

  • Government Bodies

  • Cloud Service Providers

  • Telecom Companies

• Regional Outlook (Revenue, USD Million, 2017 - 2030)

  • North America

    • U.S.

    • Canada

    • Mexico

  • Europe

    • UK

    • Germany

    • France

  • Asia Pacific

    • China

    • India

    • Japan

    • Australia

    • South Korea

  • Latin America

    • Brazil

  • MEA

    • UAE

    • South Africa

    • KSA