Market Research Report
In-Memory Analytics Market By Application, By End-use (SMEs, Large Enterprises), By Vertical (BFSI, Retail, Defense, Healthcare, Manufacturing, ITES), By Region, And Segment Forecasts, 2014 - 2025
|Published by||Grand View Research, Inc.||Product code||600861|
|Published||Content info||96 Pages
Delivery time: 2-3 business days
|In-Memory Analytics Market By Application, By End-use (SMEs, Large Enterprises), By Vertical (BFSI, Retail, Defense, Healthcare, Manufacturing, ITES), By Region, And Segment Forecasts, 2014 - 2025|
|Published: November 22, 2017||Content info: 96 Pages||
The global in-memory analytics market is expected to touch USD 6.62 billion by 2025, according to a study conducted by Grand View Research, Inc. The advancements in technology and the need for cost efficiency have increased the adoption of in-memory analytics. In-memory analytics includes various applications such as customer experience management, design & innovation, operational optimization, marketing management, real-time analysis & decision-making, and others. These solutions not only enable enterprises to increase their operational efficiency, but they also assist them in reducing expenses.
For the in-memory analytics market to work successfully, seamless connectivity is one of the most important prerequisites. The presence of a strong wireless connectivity infrastructure in regions such as North America has facilitated the widespread adoption of in-memory analytics. Hence, this regional market is expected to see substantial growth in 2017. Additionally, the presence of prominent in-memory analytics market companies such as SAS Institute, Kognitio, Qlik, SAP SE, and IBM, among others, is estimated to boost the growth prospects of the in-memory analytics market.
While the rising number of in-memory analytics devices are propelling the market growth, there has also been significant concerns over data privacy and data security. As there has been a significant increase in cyber-attacks around the world, the need to safeguard the end user from a potential attack would play an essential role in determining the growth of the in-memory analytics market.
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