LAMEA In-memory Analytics Market Size

LAMEA In-memory Analytics Market  Size

Latin America, Middle East & Africa 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 : 130 | Format : PDF

The LAMEA In-memory Analytics Market Size is estimated to experience a growth rate of 26% CAGR during the forecast period (2016-2022).

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. 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. The need to build effective sales and marketing campaigns considering all the risk assessment would drive the need for in-memory analytics solutions. The on-premises deployment model has higher adoption rate as compared to cloud deployment model, due to the need to protect sensitive data. Nevertheless, the cloud deployment model would grow at a significant rate due to rapid technological improvements to scalability and security within the cloud-based in-memory analytics solutions.

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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 country, In-Memory Analytics market is segmented into Latin America, and Middle East & Africa (Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria and Rest of LAMEA). Brazil remained the dominant country in the Latin America, Middle East & Africa In-Memory Analytics market.

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-

North America In-Memory Analytics Market

Europe In-Memory Analytics Market

Global In-Memory Analytics Market

Asia Pacific In-Memory Analytics Market

 


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