In-Memory Data Grid Market by Component, Business Application, Industry Vertical, Organization Size, Deployment Type, and Region - Global Forecast to 2023 - ResearchAndMarkets.com
DUBLIN--(BUSINESS WIRE)--Dec 17, 2018--The “In-Memory Data Grid Market by Component, Business Application (Transaction Processing, Fraud and Risk Management, Supply Chain Optimization), Industry Vertical, Organization Size, Deployment Type, and Region - Global Forecast to 2023” report has been added to ResearchAndMarkets.com’s offering.
Increasing use of distributed architecture to enhance limited storage capacity of main memory to drive the in-memory data grid market
The global in-memory data grid market size is expected to grow from USD 1.4 billion in 2018 to USD 2.3 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 10.8% during the forecast period.
The in-memory data grid market is driven by various factors, such as the use of distributed architecture to enhance limited storage capacity of main memory, and focus on eliminating the need for relational data model and database. However, system or components failure which may result in loss of data, can hinder the growth of the market.
Organizations use fraud and risk management applications to enhance their risk intelligence capabilities to overcome risk exposures. Risk management has become a top focus for regulatory bodies around the world. It has increasingly become important for several businesses to provide accurate and timely risk reporting to regulatory agencies. Using in-memory data grid helps unify corporate risk data, perform the required analytics, and report relatively easy as compared to traditional methods of data management.
Financial organizations across the globe are looking for in-memory data grid solutions which can process data in real time and improve the performance of their business-critical applications. Trading systems with high transaction rates are examples of environments best-suited for the in-memory data grid. It enables financial applications with real-time analytics due to faster data access and high throughput in use cases, such as trading, fraud detection, risk management, and portfolio management.
Key Topics Covered:
2 Research Methodology
3 Executive Summary
4 Premium Insights
5 Market Overview and Industry Trends
6 In Memory Data Grid Market, By Component
7 In Memory Data Grid Market, By Business Application
8 In Memory Data Grid Market, By Industry Vertical
9 In Memory Data Grid Market, By Organization Size
10 In Memory Data Grid Market, By Deployment Type
11 In Memory Data Grid Market, By Region
12 Competitive Landscape
13 Company ProfilesAlachisoft Gigaspaces Gridgain Systems Hazelcast Hitachi IBM Oracle Pivotal Red Hat Scale Out Software Software AG Tibco Software Tmaxsoft
For more information about this report visit https://www.researchandmarkets.com/research/22g88d/inmemory_data?w=4
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INDUSTRY KEYWORD: TECHNOLOGY DATA MANAGEMENT SOFTWARE
SOURCE: Research and Markets
Copyright Business Wire 2018.
PUB: 12/17/2018 09:19 AM/DISC: 12/17/2018 09:19 AM