In-Memory Analytics Market Worth $10.85 Billion, Globally, by 2027 at 24.4% CAGR

Verified Market Research

- The increased implementation of Real-Time Analytics to track the digital transformation and the latest technological advancements in in-memory analytics and processing vast volumes of data will foster market growth

JERSEY CITY, New Jersey, June 15, 2020 /PRNewswire/ -- Verified Market Research recently published a report, "In-Memory Analytics Market by Component (Software, Services), by Application (Sales & marketing optimization, Supply chain optimization, Product & process management, others), by Organizational Size (SMBs, Large Enterprises), By Industry Vertical (BFSI, Telecommunications and IT, Retail and e-commerce, Manufacturing, Healthcare and life sciences, Transportation and logistics, Government and defense, Energy and utilities, Media and entertainment)". According to the report, Global In-Memory Analytics Market was valued at USD 1.89 Billion in 2019 and is projected to reach USD 10.85 Billion by 2027, growing at a CAGR of 24.4% from 2020 to 2027.

This report provides detailed analysis of the growth trends among each of the segments as well as accurate forecasts in terms of the value and volume.

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Browse in-depth TOC on "In-Memory Analytics Market"

220- Pages

176 – Tables

41 – Figures

Global In-Memory Analytics Market Overview

The increased implementation of Real-Time Analytics to track the digital transformation is the crucial aspect of the rise in the market revenue of In-Memory Analytics. One of the unnoticed factors in successful digital transformation journeys is the incorporation and use of real-time data and analytics to start metrics and track progress. This aspect is quite important because research studies have found out that 70% of companies fail in the establishment of the digital transformation process. For companies to achieve victory in digital transformation, they need to change the metric system. This is done by the executive department, which utilizes the metrics to measure company performance. The parameters should be specific and should include the rate of operationalization of the ongoing projects, the amount being invested in the plans, the participation of data links and sources, and the merging of the entities. To make robust adjustments, the metrics must be based on Real-time data. The necessity of Real-time data ensures these types of metrics can be precise and informative to the business. The benefits obtained of such a plan and amalgamation of real-time digital transformation metrics can thus be thoughtful. Digital transformation is now imperious for companies globally.