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Showing posts from May, 2023

Clinical Trial Analytics Market : Factors Influencing Consumer Buying Behavior

  The latest research report by Emergen Research, named ‘Global   Clinical Trial Analytics Market       - Forecast to   2030                                     The report offers these individuals a vivid description of the competitive spectrum of the global   Clinical Trial Analytics Market       The study audits various winning strategies adopted by the market leaders to maintain the competitive edge worldwide. This adds more clarity to the research. Resource charts, tables and graphical images are included to make decisive statistics self-explanatory. 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

Analyzing Data Integration Market : SWOT Analysis and Industry Forecast

  The latest research report by Emergen Research, named ‘Global   Data Integration Market       - Forecast to   2030                                     ’, entails a comprehensive review of the global   Data Integration Market       ’s present and future trends. The report gathers viable information on the most established industry players, sales and distribution channels, regional spectrum, estimated market share and size, and revenue estimations over the forecast timeframe. 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, Transf