Europe 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

Europe 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 - 127 | Format - PDF

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. The in-memory analytics market nevertheless has some challenges which need to be addressed such as management and maintenance of data quality and limited end-user and developer skill sets to deploy BI applications. Additionally, the limited awareness about the benefits of in-memory analytics solutions across different industries would further add to the challenges to the seamless growth of the market. 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. 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.

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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 country, In-Memory Analytics market is segmented into Germany, UK, France, Russia, Spain, Italy and Rest of Europe. Germany remained the dominant country in the Europe In-Memory Analytics market.

France and Russia 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-

Global 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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