Top 5 Data storage trends in 2021

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The data storage market is expected to reach US$78 billion by the end of 2021.
Data storage is an essential part of a successful business. Data storage refers to optical, magnetic, or mechanical media that records as well as preserve digital information for ongoing or future operations. In today’s world, every detail counts and can provide valuable data to a business. Today organizations and users need data storage to meet today’s high-level computational needs like big data projects, artificial intelligence (AI), machine learning, and the internet of things (IoT). Data storage can help protect and store data for future use. According to a recent study, global spending on data storage is expected to reach US$78 billion by the end of 2021. Therefore, here are the top five data storage trends to watch out for in 2021.

Flash storage
New enterprise-class flash storage has made it possible for businesses to move to this technology. These flash storage solutions improve performance by providing operational services to IT departments.

Multi-cloud strategies
Enterprises are adopting a multi-cloud strategy to increase the mobility of data across multiple clouds while maintaining flexibility. This strategy can facilitate access to data across different computing environments with public clouds.

Software-defined storage
Increasing software usage requires software-defined storage, leading to the adoption of hybrid multi-cloud strategies. This can help improve the security environment, which in turn can improve the management and protection of the infrastructure.

AI and ML
Recent years have seen an increase in storage for AI and ML, particularly deep learning and machine learning. These technologies can save organisations money, time and effort in managing storage platforms at scale.

Non-volatile Memory express
NVMe has only been on the market for two years, but it is already attracting a lot of attention. It has evolved from flash memory and is fast becoming an alternative to connecting small computer systems. It can be used to improve the performance of existing applications and enable new applications to handle workloads in real time.

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