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AI-Powered Storage Market Outlook 2025-2034: Key Trends, Growth Drivers, and Market Share
AI-Powered Storage Global Market Report 2025
The increase in the number of data centers is anticipated to significantly contribute to the expansion of the AI-powered storage market. Data centers, which are facilities that provide shared access to applications and data using a high-tech network, computing, and storage infrastructure, play a key role in this growth. AI-powered storage is capable of analyzing large quantities of real-time data in these data centers by using machine-learning algorithms and predictive analytics. This sophisticated analysis enables data center operators to recognize patterns and make educated decisions to enhance resource allocation, capacity planning, and workload management. For example, as reported by CBRE Group, Inc., a commercial real estate services and investment firm based in the US, a record 323.9 MW of data center capacity was under construction in July 2023, with 88.4% preleased. This development comes after an 850% spike in leasing activity in Dallas the previous year and a 17% year-on-year increase in total inventory from Q1 2022 to Q1 2023. Consequently, the rising prevalence of data centers is fuelling the progression of the AI-powered storage market.
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How will the growth rate of the ai-powered storage market shape industry trends by 2034?
There has been a dramatic increase in the size of the AI-powered storage market in the past few years. Its projections indicate that it will expand from a worth of $31.88 billion in 2024 to touch $39.5 billion the following year, with a CAGR of 23.9%. The prior growth is primarily due to factors like the surge in cloud computing, a rise in data complexity, increased concerns regarding data security, the need for real-time analytics, and a flourishing IoT ecosystem.
The market size of AI-powered storage is predicted to witness a significant surge in the upcoming years, ascending to $103.72 billion in 2029 with a Compound Annual Growth Rate (CAGR) of 27.3%. Factors contributing to this rise during the predicted period include data-based decision-making, escalating data privacy rules, self-regulated storage management, the impact of quantum computing, and incessant learning storage systems. Key trends to surface during the forecast period incorporate advancements in neural networks technology, use of AI in data lifecycle management, AI's role in predictive storage maintenance, AI-optimized storage hardware, AI-enabled disaster recovery, and eco-friendly AI storage solutions.
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What trends are poised to drive the future success of the ai-powered storage market?
Product development has emerged as a leading trend in the AI-driven storage market. Numerous well-established corporations within this market are focusing on product enhancements to maintain competitiveness. One such example, in October 2023, is the Chinese multinational tech corporation, Huawei Technologies Co. Ltd., who launched a fresh AI storage model known as OceanStor A310, specifically crafted for the large AI models era. The system serves as an ideal storage solution for various stages in industry model training, including basic model training and inference in partitioned scenario models, introducing new AI capabilities in the process. OceanStor A310 is a data lake storage solution for deep learning, characterized by limitless horizontal expandability and superior performance for industry large model scenarios and essential models' mixed workloads. This solution enables the management of extensive data storage for AI operations including data collection, preprocessing, training, and inference, from start to finish. Furthermore, it can analyze data from akin sources and supports data analysis functionalities compatible with big data and high-performance computing (HPC).
Which primary segments of the ai-powered storage market are driving growth and industry transformations?
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 geographical regions are pioneering growth in the ai-powered storage market?
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.
Who are the influential players reshaping the ai-powered storage market landscape?
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.
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What Is Covered In The AI-Powered Storage Global Market Report?
• Market Size Forecast: Examine the ai-powered storage market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the ai-powered storage market for a structured understanding.
• Key Players Overview: Analyze major players in the ai-powered storage market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the ai-powered storage market.
• Segment Contributions: Evaluate how different segments drive overall growth in the ai-powered storage market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the ai-powered storage market.
• Industry Challenges: Identify potential risks and obstacles affecting the ai-powered storage market.
• Competitive Landscape: Review strategic developments in the ai-powered storage market, including expansions, agreements, and new product launches.
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