Life Science Analytics Market worth $42.0 billion by 2025 - Exclusive Report by MarketsandMarkets
CHICAGO, Sept. 22, 2020 /PRNewswire/ -- According to the new market research report "Life Science Analytics Market by Type (Predictive, Descriptive, Prescriptive), Application (Marketing, Compliance, Clinical trial, R&D, Pharmacovigilance, SCM), Component (Software, Service), Delivery, End User, & Region - Global Forecast To 2025", published by MarketsandMarkets, the global Life Science Analytics Market size is expected to reach 42.0 billion by 2025 from USD 22.1 billion in 2020, at a CAGR of 13.7% during the forecast period of 2020 to 2025.
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The Growth in this market is mainly driven by technological advancements, big data in the life science industry, growing adoption of analytics solutions in clinical trials, increasing adoption of analytics for sales and marketing applications, need for improved data standardization, increasing prevalence of chronic diseases, growing pressure to curb healthcare spending, and the need for improved patient outcomes. On the other hand, high implementation costs are expected to restrain the growth of this market to a certain extent.
The on-demand model segment is expected to grow at the highest CAGR during the forecast period.
Based on the delivery mode, the Life Science Analytics Market is segmented into the on-demand model and the on-premise model. The on-demand model segment is expected to grow at the highest CAGR during the forecast period, owing to advantages such as increasing demand for self-driven analytics, lack of upfront capital investments for hardware, extreme capacity flexibility, and pay-as-you-go pricing of this model.
The descriptive analytics segment accounted for the largest market share in 2019.
Based on type, the market is segmented into descriptive analytics, predictive analytics, and prescriptive analytics. The descriptive analytics segment accounted for the largest share of the Life Science Analytics Market in 2019. The large share of this segment is attributed to the significant usage of descriptive analytics by stakeholders to gain a better understanding of the past trends and events occurring in real-time.