The global data lake market size is expected to reach USD 89.53 Billion in 2032 and register a steady revenue CAGR of 20.6% during the forecast period, according to latest analysis by Emergen Research. Increasing need to extract in-depth insights from rising volumes of data to gain a competitive advantage is a key factor driving market revenue growth. Data lake gathers data from several sources, which is kept in the original format and can be instantly imported. Size of data can be increased using this technique while saving time on the creation of data structures, schema, and transformations. Data lakes allow many roles within an organization, such as data scientists, data developers, and business analysts, to access data using their chosen analytic tools and frameworks. A few examples include commercial solutions from data warehousing and business intelligence providers as well as open source frameworks such as Apache Hadoop, Presto, and Apache Spark. These providers can run analytics using data lakes instead of migrating their data to a different analytics solution. https://www.emergenresearch.com/industry-report/data-lake-market