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Micron Technology (MU): Among the Best Data Storage Stocks to Invest in According to Analysts

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We recently published a list of 11 Best Data Storage Stocks to Invest in According to Analysts. In this article, we are going to take a look at where Micron Technology, Inc. (NASDAQ:MU) stands against other best data storage stocks to invest in according to analysts.

Data storage is defined as the organized preservation of digital information, which is vital for today’s computing and businesses. It ensures that data, which includes text, images, and videos, remains accessible and secure for future use. This involves storage systems that range from direct attached storage to cloud solutions. Each of these offers different levels of scalability and accessibility. Fortune Business Insights reported that the global data storage market was valued at $218.33 billion in 2024. It’s projected to reach $774.00 billion by 2032 at a 17.2% CAGR. This growth is expected to be driven by the increasing need for data storage solutions due to the rise of big data.

The data storage industry is undergoing a transformation that is primarily driven by the explosive growth of AI workloads. As the global data volume surges towards a projected 181 zettabytes by 2025, AI demands high levels of storage capacity and performance, according to Avnet Integrated Solutions. AI applications are generating and processing massive datasets. The median size of AI training datasets has seen exponential growth with immense storage requirements. This is fueled by AI-generated content and real-time analytics, both demanding rapid data access and processing.

This surge in data necessitates high-performance storage solutions, which pushes the industry towards SSD dominance. The speed and efficiency of SSDs make them ideal for AI’s demanding requirements. Key advancements in SSD technology, such as 3D NAND and QLC NAND, are driving increased storage densities and improved performance. Emerging standards like EDSFF E3 and PCIe Gen 6 are optimizing SSDs for AI server and data center applications, with a focus on performance, efficiency, and the growing field of Edge AI. While SSDs are gaining prominence for active AI processing, HDDs remain relevant for cost-effective, large-scale storage of archived data. Their cost per gigabyte makes them suitable for data archiving, backup, data lakes, and surveillance applications. Technological advancements like HAMR and MAMR are increasing HDD capacities.

SSD prices are expected to decline as production scales and technology improves, while HDD pricing faces potential plateaus due to the maturity of the technology and increased manufacturing costs. The rise of AI is undeniably accelerating the transition towards SSD-dominated storage solutions. While HDDs retain their value for specific applications, SSDs’ performance and efficiency make them the preferred choice for handling AI’s immense data demands. The data storage industry must adapt to this evolving landscape and prioritize high-performance storage solutions to support the ever-growing needs of AI applications.


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