Asia-Pacific 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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The use of in-memory analytics has significantly grown, and its adoption is growing to enhance risk assessment capabilities and proactively control major operational & financial risks. 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. 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 feasibility of the in-memory analytics has led to the adoption of the technology within major businesses, making it a feasible technology. The technology eliminates the need for data indexing and storing pre-aggregated data in OLAP cubes or aggregate tables and as a result provides incredibly fast query response times.
The speed and optimization has contributed to significant cut in the cost associated in managing complex queries, and eliminating the complex procedures of implementation of BI and analytic applications. 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 China, Japan, India, South Korea, Singapore, Malaysia and Rest of Asia-Pacific. China remained the dominant country in the Asia-Pacific In-Memory Analytics market. Japan and India would witness promising CAGR during the forecast period (2016-2022).
The report covers the analysis of key stakeholders 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.