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In-Memory Computing (IMC) primarily refers to storage of data in the main Random Access Memory (RAM) of the server rather than in complicated relational databases operating on slow disk drives. IMC helps customers to analyze massive data volumes at faster speed and reduces the latency of storage. It enables faster decision making, integration, and cost reduction and makes leveraging big data possible. IMC, in a nutshell, refers to moving data which has traditionally been stored on hard discs into main memory. By storing the data in the main memory, the latency of processing is reduced dramatically.
Companies Profiled in this report includes: IBM, SAP SE, Oracle, Microsoft, Altibase, Gridgrain Systems, Red Hat, Fujitsu, Gigaspaces, Software AG
The growing demand for effective and easy data access and the increase in transactional and analytical needs across several industries are bolstering the market growth. The industry is influenced by technological developments and is slowly shifting from traditional disk-based computing to Dynamic Random Access Memory (DRAM) based in-memory computing (IMC).
The increasing need for rapid data processing is expected to catalyze the industry's growth over the forecast period. Increasing usage of mobile banking and internet services requires enormous amounts of data processing, which is anticipated to provide growth avenues for the market. As IMC processes large amounts of data in the main memory of the server, it aids in reducing the process execution time. Business of all sizes and firms across all industries can benefit from the obtained cost savings of the technology. Further, it allows organizations to run existing scenarios at faster computational speeds and more cost effectively than the traditional on-disk technology. This technology boosts business insight, escalates efficiency, and reduces IT costs, providing a competitive advantage.
Some of the advantages of in-memory computing include:
The ability to cache countless amounts of data constantly. This ensures extremely fast response times for searches. The ability to store session data, allowing for the customization of live sessions and ensuring optimum website performance. The ability to process events for improved complex event processing
Table of Content:
Global In-Memory Computing Market Research Report 2017
1 In-Memory Computing Market Overview
2 Global In-Memory Computing Market Competition by Manufacturers
3 Global In-Memory Computing Production, Revenue (Value) by Region (2012-2017)
4 Global In-Memory Computing Supply (Production) , Consumption, Export, Import by Regions (2012-2017)
5 Global In-Memory Computing Production, Revenue (Value) , Price Trend by Type
6 Global In-Memory Computing Market Analysis by Application
7 Global In-Memory Computing Manufacturers Profiles/Analysis
7.1 IBM
7.1.1 Company Basic Information, Manufacturing Base and Its Competitors
7.1.2 In-Memory Computing Product Type, Application and Specification
7.1.2.1 Small and Medium Businesses
7.1.2.2 Large Enterprises
7.1.3 IBM In-Memory Computing Production, Revenue, Price and Gross Margin (2015 and 2016)
7.1.4 Main Business/Business Overview
7.2 SAP SE
7.2.1 Company Basic Information, Manufacturing Base and Its Competitors
7.2.2 In-Memory Computing Product Type, Application and Specification
7.2.2.1 Small and Medium Businesses
7.2.2.2 Large Enterprises
7.2.3 SAP SE In-Memory Computing Production, Revenue, Price and Gross Margin (2015 and 2016)
7.2.4 Main Business/Business Overview
7.3 Oracle
7.3.1 Company Basic Information, Manufacturing Base and Its Competitors
7.3.2 In-Memory Computing Product Type, Application and Specification
7.3.2.1 Small and Medium Businesses
7.3.2.2 Large Enterprises
7.3.3 Oracle In-Memory Computing Production, Revenue, Price and Gross Margin (2015 and 2016)
7.3.4 Main Business/Business Overview
8 In-Memory Computing Manufacturing Cost Analysis
9 Industrial Chain, Sourcing Strategy and Downstream Buyers
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