Global Cloud Computing in Cell Biology Market 2022-2028
Cloud computing provides fundamental support to address the challenges with shared computing resources including computing, storage, networking and analytical software. Progress in biomedical research is increasingly driven by insight gained through the analysis and interpretation of large and complex data sets. Recently, cloud computing has emerged as a powerful, flexible, and scalable approach to disparate computational and data–intensive problems. Gen Consulting Company predicts global cloud computing in cell biology market will grow from USD 1,798 million in 2021 to USD 5,830 million by 2028, achieving a CAGR of 18.3 percent, according to the latest edition of the Global Cloud Computing in Cell Biology Market Report.
The report provides in-depth analysis and insights regarding the current global market scenario, latest trends and drivers into global cloud computing in cell biology market. It offers an exclusive insight into various details such as market size, key trends, competitive landscape, growth rate and market segments. This study also provides an analysis of the impact of the COVID-19 crisis on the cloud computing in cell biology industry.
This industry report offers market estimates and forecasts of the global market, followed by a detailed analysis of the deployment mode, application, end user, and region. The global market for cloud computing in cell biology can be segmented by deployment mode: public cloud, private cloud, hybrid. Cloud computing in cell biology market is further segmented by application: discovery and preclinical research, clinical trials, pharmaceuticals manufacturing, others. Based on end user, the cloud computing in cell biology market is segmented into: biotechnology and pharmaceutical companies, clinical laboratories, contract research organization (CRO). On the basis of region, the cloud computing in cell biology market also can be divided into: Asia Pacific, Europe, North America, Rest of the World (RoW).
By deployment mode:
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