Global In memory Analytics Market By Component Type (Software, Services - Professional, Managed), Application (Risk Management & Fraud Detection, Financial, Sales & Marketing Optimization, Supply Chain Optimization, Predictive Asset Management, Product & Process Management), Organization Size, Deployment Mode, Vertical
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In-memory analytics is a business intelligence (BI) technology that is used in solving complex and time-sensitive business challenges. The technology works by significantly increasing the speed, performance and reliability of the data. Business Intelligence is typically deployed on physical disks, and is generally disk-based. Contrarily, the in-memory analytics has queries and data residing in the server's random access memory (RAM). The 64-bit architectures led to the adoption of In-memory analytics, with the capability of handling more memory and large file sizes. The adoption of In-memory analytics significantly contributes to improved memory usage, resulting in improved speed of a BI system. The superior performance offers business-intelligence at a faster rate compared to traditional disk-based business intelligence. Digital transformation leading to the use of real-time analytics, superlative computing power, and rising adoption of self-service Business Intelligence (BI) tools have contributed to the growth of the market, globally.
Based on the component type, the In-Memory Analytics market is segmented into Software and Services. The Services market is segmented into Professional and Managed Services. Professional services are further segmented into Implementation, Consulting & Training and Support & Maintenance. The Applications highlighted in this report include Risk Management & Fraud Detection, Financial Performance, Sales & Marketing Optimization, Supply Chain Optimization, Predictive Asset Management, Product & Process Management and Others. Based on Organization Size, the market is segmented into Small & Mid-sized and Large Enterprises.
Based on Deployment Type, the market is segmented into Cloud based and On-Premise. The verticals covered under the report include BFSI, Manufacturing, Government & Defense, Energy & Utilities, Media & Entertainment, Telecom & IT, Healthcare & Life Sciences, Retail and Others. Based on region, In-Memory Analytics market is segmented into North America (US, Canada, Mexico and Rest of North America), Europe (Germany, UK, France, Russia, Spain, Italy and Rest of Europe), Asia-Pacific (China, Japan, India, South Korea, Singapore, Malaysia and Rest of Asia-Pacific) and Latin America, and Middle East & Africa. North America remained the dominant region in the global In-Memory Analytics market in 2015. Asia-Pacific would witness promising CAGR during the forecast period (2016-2022).
The report covers the analysis of key stake holders of the In-Memory Analytics market. Key companies profiled in the report include International Business Machines Corporation (IBM), Oracle Corporation, SAP SE, SAS Institute, Hitachi Ltd., MicroStrategy, Inc., Software AG and Amazon.com.