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Showing posts from May, 2023

Clinical Trial Analytics Market : An Overview of Key Players and Competitive Landscape

  The latest study on the   Clinical Trial Analytics Market       industry includes a detailed analysis of the future trends and demands for the forecast period, 2020 -   2030                        . The report is furnished with the latest scenario and growth outlook of the market with regard to the impact of the pandemic.The report considers 2017-2018 as historical years, 2019 as the base year, and 2020- 2030                         as the forecast timeline. The report offers strategic recommendations to the key stakeholders and investors to help them ascertain maximum returns on their investments and formulate new strategic business plans. 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 studi

Data Integration Market : An Overview of Key Players and Competitive Landscape

  The report highlights the current impact of COVID-19 on the   Data Integration Market       along with the latest economic scenario and changing dynamics of the market. It analyzes the impact of the pandemic on market growth and remuneration. The pandemic has changed the economic scenario of the world and has affected several sectors of the market. The report estimates the market for   Data Integration Market       according to the impact of COVID-19. 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, Transform, and Load (ETL) map