(IT-NEWSWIRE.COM, October 11, 2018 ) This report covers the present scenario (with the base year being 2017) and the growth prospects of Global In-memory OLAP Database Market Report for 2018-2023.
In-memory OLAP is the method by which analytical data is loaded into memory for live calculations and querying. Because the data is loaded into memory, running queries (or, in OLAP terms, slicing and dicing), can be faster than with traditional relational on-line analytical processing (ROLAP), multidimensional OLAP (MOLAP) and hybrid systems. Since the data resides in the RAM, the system does not need to reach out to a database or a physical file which may further entail additional network operations and disk read/write operations. Furthermore, traditional cubes store pre-calculated data and results which can then be queried. This limits the number of pre-calculated combinations. With RAM-based analytics, these calculations can sometimes be just as quickly generated on the fly. A number of established and new vendors have come out with in-memory OLAP technologies. While the concept is at least a decade old, it is gaining more acceptance due to cheaper Random Access Memory (RAM) and faster CPU speeds.
Over the next five years, Experts projects that In-memory OLAP Database will register a xx% CAGR in terms of revenue, reach US$ xx million by 2023, from US$ xx million in 2017.
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This report presents a comprehensive overview, market shares and growth opportunities of In-memory OLAP Database market by product type, application, key companies and key regions.
To calculate the market size, Experts considers value generated from the sales of the following segments:
Segmentation by product type:
Segmentation by application:
Government and Defense
Healthcare and Life Sciences
We can also provide the customized separate regional or country-level reports, for the following regions:
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The report also presents the market competition landscape and a corresponding detailed analysis of the major players in the market. The key players covered in this report:
In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.
To study and analyze the global In-memory OLAP Database market size by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2023.
To understand the structure of In-memory OLAP Database market by identifying its various sub segments.
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Table of Content:
2018-2023 Global In-memory OLAP Database Market Report (Status and Outlook)
1 Scope of the Report
1.1 Market Introduction
1.2 Research Objectives
1.3 Years Considered
1.4 Market Research Methodology
1.5 Economic Indicators
1.6 Currency Considered
2 Executive Summary
2.1 World Market Overview
2.1.1 Global In-memory OLAP Database Market Size 2013-2023
2.1.2 In-memory OLAP Database Market Size CAGR by Region
2.2 In-memory OLAP Database Segment by Type
2.5.2 Global In-memory OLAP Database Market Size Growth Rate by Application (2013-2018)
3 Global In-memory OLAP Database by Players
3.1 Global In-memory OLAP Database Market Size Market Share by Players
3.1.1 Global In-memory OLAP Database Market Size by Players (2016-2018)
3.1.2 Global In-memory OLAP Database Market Size Market Share by Players (2016-2018)
3.2 Global In-memory OLAP Database Key Players Head office and Products Offered
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