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
Special Offering :
Industry Insights | Market Trends | Highest number of Tables | 24/7 Analyst Support
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.
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.