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Showing posts from May, 2023

Clinical Trial Analytics Market : A Comprehensive Study of the Industry

  The report provides a thorough estimation of the overall impact of the pandemic on the   Clinical Trial Analytics Market       and its vital segments. The report also discusses the impact of the pandemic across different regions of the market. It also offers a current and future assessment of the impact of the pandemic on the   Clinical Trial Analytics Market       . The global clinical trial analytics market size is expected to reach USD 17.06 Billion in 2032 and is expected to register steady revenue CAGR of 13.4% during the forecast period, according to the latest analysis by Emergen Research. Increasing cost of conducting clinical trials is a key factor driving revenue growth of the market. Clinical studies are expensive, and this has a negative effect on patient expenses. This is a result of biopharma companies’ efforts to maintain profitability by including Research and Development (R&D) expenses from unsuccessful studies in the price of approved products. Get a free sampl

Data Integration Market : An In-Depth Look at the Current State and Future Outlook

  The report is attuned with the latest market changes and economic landscape with regard to the currently unfolding COVID-19 pandemic. The crisis has affected the demand and supply pattern, as well as the trends of the industry. It has also brought an economic slowdown that has affected the business of the key manufacturers of the industry. The report estimates the impact of this crisis on the current scenario and future prospects and provides a post-COVID market scenario. The global  data integration market  size was USD 12.75 Billion in 2022 and is expected to register a steady revenue CAGR of 14.9% during the forecast period, according to the latest analysis by Emergen Research. Increasing adoption of cloud computing technologies is a major factor driving market revenue growth. Data integration is the process of bringing data together from various sources into a single, comprehensive view. A few processes involved in data integration are transformation, cleansing, Extract, Transfor