Trends and Forecast for the Global In Memory Database MarketTrends, opportunities and forecast in In-memory database market to 2026 by data type (relational, NoSQL and NewSQL), application (transaction, reporting, analytics, and others), processing type (online analytical processing (OLAP), and online transaction processing (OLTP)), organization size (large enterprises and small and medium enterprises), end use industry , and regionLucintel's latest market report analyzed that in-memory database provides attractive opportunities in the healthcare and life science, BFSI, manufacturing, retail and consumer goods, IT and telecommunication, and transportation industries. The In-memory database market is expected to grow at a CAGR of 19% to 21%. In this market, NewSQL is the largest segment by data type, whereas BFSI is largest by end use industry.
Download Brochure of this report by clicking on https://www.lucintel.com/in-memory-database-market.aspx Based on data type, the in-memory database market is segmented into relational, NoSQL and NewSQL), application (transaction, reporting, analytics, and others. The NewSQL segment accounted for the largest share of the market in 2020 and is expected to register the highest CAGR during the forecast period, due to better performance to scale online transaction processing as compared to other in-memory database solutions.
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The In-Memory Database Market is marked by the presence of several big and small players. Some of the prominent players offering in-memory database include Microsoft, IBM, Oracle, SAP SE, Teradata, Amazon Web Services, Tableau, Kognitio, VoltDB, and DataStax
This unique research report will enable you to make confident business decisions in this globally competitive marketplace. For a detailed table of contents, contact Lucintel at +1-972-636-5056 or click on this link helpdesk@lucintel.com.
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