Lifesciences Enterprise Storage Market Expected to Witness Rapid Expansion by the End of 2025

Press Release

Increasing challenges arising in management and generation of IT-based data in the lifesciences sector has driven the demand for effective storage solutions. As data generation rate continues to outpace vigorously, effective lifesciences enterprise storage solutions are being adopted to manage and store the clinical data such as genomics, pharmaceutical development, and drug discovery.

In 2018, the global Lifesciences Enterprise Storage market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.

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This report focuses on the global Lifesciences Enterprise Storage status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Lifesciences Enterprise Storage development in United States, Europe and China.

The key players covered in this study
■ HPE
■ Dell
■ IBM
■ NetApp
■ Hitachi
■ Microsoft
■ Amazon Web Services
■ Google
■ Quantum

Market segment by Type, the product can be split into
■ Cloud-based
■ On-premise

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Market segment by Application, split into
■ Government
■ Biotechnology/Pharmaceutical Companies
■ Academic Research Institutes
■ Contract Research Organization
■ Others

Market segment by Regions/Countries, this report covers
■ United States
■ Europe
■ China
■ Japan
■ Southeast Asia
■ India
■ Central & South America

The study objectives of this report are:
■ To analyze global Lifesciences Enterprise Storage status, future forecast, growth opportunity, key market and key players.
■ To present the Lifesciences Enterprise Storage development in United States, Europe and China.
■ To strategically profile the key players and comprehensively analyze their development plan and strategies.
■ To define, describe and forecast the market by product type, market and key regions.

In this study, the years considered to estimate the market size of Lifesciences Enterprise Storage are as follows:
■ History Year: 2014-2018
■ Base Year: 2018
■ Estimated Year: 2019
■ Forecast Year 2019 to 2025

For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

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This post was originally published on Analytics News