In-Memory Analytics Market Segmented by Component, deployment model, enterprise size, industry vertical and geography (2019 to 2024)
Rapid growth of big data analytics across the globe is one of the major factors shaping the growth of in-memory analytics market. Growing digitization across various end-use industries is encouraging companies to adopt advanced solutions for supporting their big data analytics functions. Since this technology catalyzes the process of analytics by querying data which is in RAM, their adoption among end users is increasing, thus positively impacting the growth of in-memory analytics market. Growing focus of enterprises on Business Intelligence (BI) and faster decision-making is also spurring the growth of in-memory analytics market.
Large enterprise segment holds significant market share
By enterprise size, In-Memory Analytics market is segmented into small, medium, and large. Large enterprise accounted for significant market share in 2018 owing to the high volume of big data for which companies with huge budget are demanding in-memory analytics solutions for fast processing of data.
APAC witnessing highest CAGR between 2019 and 2024
Geographically, In-Memory Analytics market is segmented as North America, South America, Europe, Middle East and Africa, and Asia Pacific. APAC is projected to witness the fastest regional market growth on account of increasing number of enterprises, both SMBs and large, coupled with rapidly growing volume of big data in the region. North America holds significant market share owing to the early adoption of new technologies and presence of major market players in the region.
This report also includes a study of strategies and product portfolios of some of the leading companies in the In-Memory Analytics market. It consists of company profiles of the leading companies- Google, Inc., IBM Corporation, Microsoft Corporation, ESRI, and Telstra among others.
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