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Key Trends Influencing the Growth of the AI-Powered Storage Market in 2025: Companies Unveiling Advanced Solutions To Pioneer AI Storage Innovation For Large-Scale Model Training And Inference
Use code ONLINE30 to get 30% off on global market reports and stay ahead of tariff changes, macro trends, and global economic shifts.What Is the Expected CAGR for the AI-Powered Storage Market Through 2025?
The market size of AI-enabled storage systems has seen a significant surge lately. The market, which is projected to be worth $31.88 billion in 2024, is expected to increase to $39.5 billion by 2025, indicating an annual compound growth rate (CAGR) of 23.9%. Factors such as the expansion of cloud computing, escalating data intricacies, concerns over data protection, the need for instantaneous analytics, and the growth of the IoT ecosystem can be attributed to the exceptional growth observed in the historical period.
What's the Projected Size of the Global AI-Powered Storage Market by 2029?
Expectations for the AI-fuelled storage market size suggest substantial growth over the forthcoming years. The market is projected to expand to $103.72 billion by 2029, with a compound annual growth rate (CAGR) of 27.3%. The growth throughout this forecast period can be credited to factors like data-led decision processes, rising data privacy rules, self-sufficient storage management, the influence of quantum computing, and ongoing learning storage systems. The forecast period is also predicted to see major trends such as progression in neural networks technology, AI's role in data lifecycle supervision, AI's application for predictive storage upkeep, AI-optimized storage hardware, AI-backed disaster recovery, and eco-friendly AI storage solutions.
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Top Growth Drivers in the AI-Powered Storage Industry: What's Accelerating the Market?
The AI-powered storage market's expansion is predicted to be fueled by an increase in data centers. These facilities provide collective access to both applications and data via a high-tech network, computing, and storage infrastructure. AI-powered storage employs machine learning algorithms and predictive analytics to evaluate copious amounts of real-time data in data centers. This permits operators to discern patterns and make educated judgements on optimizing resource distribution, capacity assessment, and workload management. As an example, in July 2023, CBRE Group Inc., an American commercial real estate services and investment firm, revealed that an unprecedented 323.9 MW of data center capacity is being built, with 88.4% already pre-leased. This came in the wake of an astounding 850% rise in leasing activity in Dallas the previous year. In contrast, total inventory experienced a 17% annual increase from Q1 2022 to Q1 2023. As such, the surge in data centers is hastening the growth of the AI-powered storage market.
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What Trends Will Shape the AI-Powered Storage Market Through 2029 and Beyond?
One crucial trend that is picking up speed in the AI-powered storage market is product innovation. Large enterprises that dominate the AI-powered storage market are prioritizing product advancements to retain their market position. For example, in October 2023, the multinational technology firm based in China, Huawei Technologies Co. Ltd., introduced a new AI storage model called OceanStor A310, created specifically for the age of extensive AI models. The system provides the ideal storage capacity needed for training industry models, basic model education, and inference in split scenario models, in order to deploy brand-new AI abilities. The OceanStor A310 is a storage solution for deep learning data lakes that demonstrates exceptional performance for mixed workloads in basic models, and industry large model scenarios, with endless horizontal scalability. It opens up the possibility of governing massive data storage required for AI procedures, including data assembly, pre-processing, educating, and drawing inferences, from beginning to end. It can assess data from comparable sources and boasts data examination capabilities that are congruent with significant data and High-Performance Computing (HPC).
What Are the Main Segments in the AI-Powered Storage Market?
The AI-powered storage market covered in this report is segmented -
1) By Offering: Software, Hardware
2) By Storage System: Direct-Attached Storage, Network-Attached Storage, Storage Area Network
3) By Storage Medium: Hard Disk Drive (HDD), Solid State Drive (SSD)
4) By Storage Architecture: File And Object-Based Storage, Block Storage
5) By End-User: Enterprises, Government Bodies, Cloud Service Providers, Telecom Companies, Other End-users
Subsegments:
1) By Software: AI Storage Management Software, Data Analytics Software, AI-Driven Backup And Recovery Solutions
2) By Hardware: AI-Optimized Storage Devices, Hybrid Storage Solutions, High-Performance Storage Systems
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Which Top Companies are Driving Growth in the AI-Powered Storage Market?
Major companies operating in the AI-powered storage market include Google LLC, Samsung Electronics Co. Ltd., Microsoft Corporation, Dell Technologies Inc., Hitachi Ltd., Lenovo Group Limited, Intel Corporation, International Business Machines Corporation, Cisco Systems Inc., Fujitsu Limited, Micron Technology Inc., Hewlett Packard Enterprise Company (HPE), Nvidia Corporation, Toshiba Corporation, Pure Storage Inc., Veritas Technologies LLC, Cohesity Inc., Infinidat, Tintri Inc., CTERA Networks Ltd., Zadara Inc., Pavilion Data Systems Inc., MinIO Inc., DriveScale Inc., Caringo Inc.
Which Regions Will Dominate the AI-Powered Storage Market Through 2029?
North America was the dominant region in the AI-powered storage market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI-powered storage market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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