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Global In-Memory Database Market is expected to reach US$ 5.55 Bn by 2026 at a CAGR of 19.2% during the forecast period.<br>
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Global In-Memory Database Market is expected to reach US$ 5.55 Bn by 2026 at a CAGR of 19.2% during the forecast period. In-Memory Database MarketThe in-memory database market is segmented by application, data type, processing type, deployment model, organization size, vertical, and region. In applications, the transaction segment is expected to hold the larger market size during the forecast period, due to the rising e- commerce industry uses non-cash payments mode across the world resulting in an increase in the transaction application, among the market. In-memory databases are primarily used in big data management and business analytics where there is a need for storage and fast data access. In-memory databases are faster as compare to traditional databases. An in-memory database is a part of the computer main memory and needs just fewer instructions to access the data for writing and reading. Another advantage of an in-memory database system is its application in real-time embedded systems which are highly resource constrained which have low processor computational capabilities and require small memory. Lack of standards and memory space constraints are some of the restraining factors that may hinder the growth of the in-memory database market. The data security concerns and volatile nature of memory are some of the stumbling blocks in the adoption of in-memory database solutions. A massive amount of data
being generated from various industries, falling RAM prices, faster data processing are some of the major driving factors expected to propel the in-memory database market around the world. Processing segment is divided into Online Analytical Processing (OLAP), Online Transaction Processing (OLTP). Among these, OLAP systems are expected to grow at the highest CAGR during the forecast period. OLAP systems are typically deployed for reporting and Business Intelligence (BI), sales management, forecasting, and business process management. In-memory OLAP solutions help to address big data challenges for organizations. On-premises deployment model is expected to hold the larger market share during the forecast period. The on-premises deployment model provides privacy parameters and confidentiality to the organizational data; hence, most of the organizations are adopting the on-premises deployment model. On-demand deployment model is expected to grow at the highest CAGR during the forecast period, owing to agility, cost-effectiveness, and affordability it offers to the end customer. The BFSI segment is expected to have a large market size during the forecast period in the vertical segment. However, the retail and consumer goods industry is likely to grow at the highest CAGR during the forecast period, as owing to the rising need of the rapid data processing which is the need of the day for the retail stores to stay competitive. The market in North America is expected to hold the largest in-memory database market share during the forecast period, as North America is the most advanced region in terms of technology adoption and infrastructure. North America is responsible for the presence of technical experts, and growing demands for In-Memory Database Market solutions in this region. The APAC regions expected to reach at the highest CAGR during the forecast period. Some of the key players are Oracle Corporation, SAP SE, Teradata Corporation, Amazon Web Services, Tableau software, Kognitio Ltd., VoltDB etc.
For more information visit: https://www.maximizemarketresearch.com/market-report/global-in-memory-database- market/13339/#toc Scope of Global In-Memory Database Market: Global In-Memory database market by Application: • Transaction • Reporting • Analytics • Others Global In-Memory database market by Data Type: • Relational • NoSQL • NewSQL Global In-Memory database market by Processing Type: • Online Analytical Processing (OLAP) • Online Transaction Processing (OLTP) Global In-Memory database market by Deployment Model: • On-Premises • On-Demand Global In-Memory database market by Organization Size: • Large Enterprises • Small and Medium Enterprises Global In-Memory database market by Vertical:
• BFSI • Healthcare and Life Sciences • Government and Defense • Transportation and Logistics • Retail and Consumer Goods • Manufacturing • IT and Telecommunication • Energy and Utility • Others Global In-Memory database market by Region: • North America • Europe • The Middle East and Africa (MEA) • Asia-Pacific (APAC) • Latin America Key Players of the In-Memory Database Market: • IBM Corporation • Microsoft Corporation • SAP SE
• Oracle Corporation • Teradata Corporation • Amazon Web Services • Tableau Software • Kognitio Ltd. • VoltDB • DataStax • ENEA • McObject LLC • Altibase Corporation • Activeviam • Aerospike • MemSQL • Sqlite • Starcounter This Report Is Submitted By : Maximize Market Research Company Customization of the report: Maximize Market Research provides free personalized of reports as per your demand. This report can be personalized to meet your requirements. Get in touch with us and our sales team will guarantee provide you to get a report that suits your necessities.
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