In-Memory Grid Market Overview

In its research report, Market Research Future (MRFR), emphasizes that the global In-Memory Grid Market market 2020 is expected to grow exponentially, securing a substantial market valuation from USD 1.32 billion in 2017 to USD 2.25 billion by 2023, at a substantial CAGR of 11.25% over the review period. The study identifies and analyses changing dynamics, In-Memory grid market analysis, emerging trends, key market drivers, challenges, opportunities, and restraints.

In-Memory Grid Market Key Players 

The major market players operating in the in-memory grid market as identified by MRFR are -

  • TIBCO Software Inc. (US)
  • Pivotal Software Inc.(US)
  • IBM Corporation (US)
  • Oracle Corporation (US)
  • Hazelcast Inc. (US)
  • Software AG (Germany)
  • Red Hat Inc. (US)
  • Pivotal Software Inc.(US)
  • Hitachi Ltd. (Japan)
  • ScaleOut Software Inc. (US)
  • Hazelcast Inc. (US)
  • GigaSpaces Technologies Inc. (US).

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Drivers and Restraints

The market for the in-memory grid is segmented according to feature, form of deployment, application, vertical and area. In-memory grid is a data system that is spread over many servers, offering high data availability while maintaining it in memory.

The factor like that the need for a relational data model and database is driving the growth of the global data grid market in memory. In addition, enhancement of the analytical application efficiency and the need to achieve high throughput with real-time processing are expected to further fuel market growth. However, several developments in core systems to take advantage of low latency are increasing the scenario for in-memory data grids to be accepted in many industries. During the forecast period, the increasing number of concurrent transactions involving large volumes of operational data, increased use of real-time analytics across end-verticals, and the need for an effective replacement of relational data model and database remains the key drivers for the in-memory industry. This is generally adopted for the management of big data velocity, volatility, and quantity. Furthermore, the growing demand for distributed architecture that can upsurge the storage capacity of main memory fuel the growth of in-memory grid market.

In-Memory Grid Market Segmentation

The In-Memory Grid Market Segments is segmented into deployment type, component, vertical, and application. On the basis of deployment type, the In-Memory Grid Industry is segmented into on-cloud and on-premise.

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Based on components, the In-Memory Grid Market is further segmented into services and solutions.

On the basis of vertical, the In-Memory Grid Market is further divided into Government, Telecommunication and IT, Banking, Financial Services and Insurance (BFSI) Healthcare, Retail, and Entertainment and Media

Based upon application, the In-Memory Grid Industry is bifurcated into Supply Chain, Transaction Processing, Marketing and Sales, and Risk and Fraud Management.

Regional study The global business regional overview was performed in four major regions namely Asia Pacific, North America, Europe and the rest of the world.Due to the rise in the adoption of the connected devices and subsequent rise in data volumes, Asia-Pacific is expected to be the fastest growing area during the prediction period. In addition, increased government initiatives to upgrade IT infrastructure and deploy cost-effective cloud-based solutions are expected to drive the in-memory grid market in Asia Pacific during the forecast period. North America is projected to have the largest market share and over the forecast period will dominate the market for in-memory grids. As a developing economy, the area has seen heavy investments in R&D activities to develop emerging technologies such as the Internet of Things (IoT), big data, and social media. In addition, the presence of the region's best multinationals further drives growth in those regions.

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Report Overview

The overview of the In-Memory Grid Market Research Report is listed in the following-

  • Market Overview
  • COVID-19 Analysis
  • Dynamics of the Market
  • Value Chain Analysis
  • Market Segmentation
  • Regional Analysis
  • Competitive Analysis
  • Recent Development



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