Global Artificial Intelligence Storage Market Growth Forecast Report 2025-2031
Global Info Research‘s report is a detailed and comprehensive analysis for global Artificial Intelligence Storage market. Both quantitative and qualitative analyses are presented by manufacturers, by region & country, by Type and by Application. As the Artificial Intelligence Storage market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
According to our latest research, the global Artificial Intelligence Storage market size will reach USD 5198 million in 2031, growing at a CAGR of 6.8% over the analysis period.
Artificial Intelligence (AI) Storage refers to hardware and software storage systems and platforms specifically designed and optimized to meet the performance, capacity, and data-management needs of AI/ML workloads — including high-throughput NVMe tiers, NVMe-over-Fabric (NVMe-oF), parallel file systems, scale-out object stores, intelligent caching, metadata services, and data-lifecycle software that accelerate training, inference, data preparation and model serving at scale.
Upstream for AI storage includes NAND/SSD/NVMe device makers, optics/transceiver and PCB/fabrication suppliers, memory and accelerator vendors, and silicon designers for NVMe controllers and DPUs; the midstream layer covers OEMs and ODMs who assemble servers and storage arrays, software vendors who provide SDS, parallel file systems and metadata services, and systems engineers who integrate storage with GPU compute and networking (NVMe-oF); downstream comprises cloud providers, hyperscalers, enterprise procurement, systems integrators, managed service providers and VARs that deploy, test, validate, and operate AI storage solutions, plus aftermarket maintenance, scaling/upgrade projects and data-migration services.
Publicly visible activity includes hyperscaler and cloud provider capex projects to expand GPU/AI clusters (driving demand for NVMe-dense rack storage), OEM/ODM investments in NVMe appliance assembly lines and regional manufacturing to shorten supply chains, startups and established vendors launching purpose-built AI storage platforms and R&D centers (including labs for MLPerf/AI storage benchmarking), and manufacturers rolling out integration/service centers for turnkey GPU+storage racks and NVMe-oF fabrics—most announcements focus on product launches, capacity ramps and strategic partnerships rather than line-item unit counts, with many detailed construction/capacity plans disclosed only in company filings or paid reports.
Market Average Gross Profit Margin: 34%.
This report is a detailed and comprehensive analysis for global Artificial Intelligence Storage market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Market segment by Type: On-Premises Scale-Out Model、 Cloud-Native Object Storage Model、 Hybrid Architectures Model
Market segment by Application:Finance、 Healthcare、 Retail、 Others
Major players covered: Dell、 IBM、 Cloudian、 Pure Storage、 VAST Data、 HPE、 Huawei、 Hammerspace、 Box、 DDN、 Databricks、 MinIO、 Supermicro
According to our latest research, the global Artificial Intelligence Storage market size will reach USD 5198 million in 2031, growing at a CAGR of 6.8% over the analysis period.
Artificial Intelligence (AI) Storage refers to hardware and software storage systems and platforms specifically designed and optimized to meet the performance, capacity, and data-management needs of AI/ML workloads — including high-throughput NVMe tiers, NVMe-over-Fabric (NVMe-oF), parallel file systems, scale-out object stores, intelligent caching, metadata services, and data-lifecycle software that accelerate training, inference, data preparation and model serving at scale.
Upstream for AI storage includes NAND/SSD/NVMe device makers, optics/transceiver and PCB/fabrication suppliers, memory and accelerator vendors, and silicon designers for NVMe controllers and DPUs; the midstream layer covers OEMs and ODMs who assemble servers and storage arrays, software vendors who provide SDS, parallel file systems and metadata services, and systems engineers who integrate storage with GPU compute and networking (NVMe-oF); downstream comprises cloud providers, hyperscalers, enterprise procurement, systems integrators, managed service providers and VARs that deploy, test, validate, and operate AI storage solutions, plus aftermarket maintenance, scaling/upgrade projects and data-migration services.
Publicly visible activity includes hyperscaler and cloud provider capex projects to expand GPU/AI clusters (driving demand for NVMe-dense rack storage), OEM/ODM investments in NVMe appliance assembly lines and regional manufacturing to shorten supply chains, startups and established vendors launching purpose-built AI storage platforms and R&D centers (including labs for MLPerf/AI storage benchmarking), and manufacturers rolling out integration/service centers for turnkey GPU+storage racks and NVMe-oF fabrics—most announcements focus on product launches, capacity ramps and strategic partnerships rather than line-item unit counts, with many detailed construction/capacity plans disclosed only in company filings or paid reports.
Market Average Gross Profit Margin: 34%.
This report is a detailed and comprehensive analysis for global Artificial Intelligence Storage market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Market segment by Type: On-Premises Scale-Out Model、 Cloud-Native Object Storage Model、 Hybrid Architectures Model
Market segment by Application:Finance、 Healthcare、 Retail、 Others
Major players covered: Dell、 IBM、 Cloudian、 Pure Storage、 VAST Data、 HPE、 Huawei、 Hammerspace、 Box、 DDN、 Databricks、 MinIO、 Supermicro
To Get More Details About This Study, Please Click Here: https://www.globalinforesearch.com/reports/3090348/artificial-intelligence-storage
The overall report focuses on primary sections such as – market segments, market outlook, competitive landscape, and company profiles. The segments provide details in terms of various perspectives such as end-use industry, product or service type, and any other relevant segmentation as per the market’s current scenario which includes various aspects to perform further marketing activity. The market outlook section gives a detailed analysis of market evolution, growth drivers, restraints, opportunities, and challenges, Porter’s 5 Force’s Framework, macroeconomic analysis, value chain analysis and pricing analysis that directly shape the market at present and over the forecasted period. The drivers and restraints cover the internal factors of the market whereas opportunities and challenges are the external factors that are affecting the market. The market outlook section also gives an indication of the trends influencing new business development and investment opportunities.
The Primary Objectives in This Report determine the size of the total market opportunity of global and key countries,assess the growth potential for Artificial Intelligence Storage and competitive factors affecting the marketplace,forecast future growth in each product and end-use market. Also,this report profiles key players in the global Artificial Intelligence Storage market based on the following parameters - company overview, sales quantity, revenue, price, gross margin, product portfolio, geographical presence, and key developments.
Artificial Intelligence Storage market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by region, regional analysis covers North America (United States, Canada, and Mexico),Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe),Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia),South America (Brazil, Argentina, Colombia, and Rest of South America),Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa).
The report provides insights regarding the lucrative opportunities in the Artificial Intelligence Storage Market at the country level. The report also includes a precise cost, segments, trends, region, and commercial development of the major key players globally for the projected period.
The Artificial Intelligence Storage Market report comprehensively examines market structure and competitive dynamics. Researching the Artificial Intelligence Storage market entails a structured approach beginning with clearly defined objectives and a comprehensive literature review to understand the current landscape. Methodologies involve a mix of primary research through interviews, surveys, and secondary research from industry reports and databases. Sampling strategies ensure representation, while data analysis utilizes statistical and analytical techniques to identify trends, market sizing, and competitive landscapes. Key areas of focus include trend analysis, risk assessment, and forecasting. Findings are synthesized into a detailed report, validated through peer review or expert consultation, and disseminated to stakeholders, with ongoing monitoring to stay abreast of developments.
Global Info Research is a company that digs deep into global industry information to support enterprises with market strategies and in-depth market development analysis reports. We provides market information consulting services in the global region to support enterprise strategic planning and official information reporting, and focuses on customized research, management consulting, IPO consulting, industry chain research, database and top industry services. At the same time, Global Info Research is also a report publisher, a customer and an interest-based suppliers, and is trusted by more than 30,000 companies around the world. We will always carry out all aspects of our business with excellent expertise and experience.
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Global Info Research
Web: https://www.globalinforesearch.com
Email: report@globalinforesearch.com
CN: 0086-176 6505 2062
HK: 00852-58030175
