In-memory Analytics Market Size

In-memory Analytics Market Size

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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Date of Publication : 26-05-2017 | Number of Pages : 414 | Format : PDF

The global In-Memory Analytics Market Size is expected to attain a market size of $3.6 billion by 2022, growing at a CAGR of 22.4% during the forecast period.

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.

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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.

Related Reports-

Europe In-Memory Analytics Market

Asia-Pacific In-Memory Analytics Market

North America In-Memory Analytics Market

Latin America, Middle East & Africa In-Memory Analytics Market


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