IN-MEMORY OLAP DATABASE MARKET 2018 GLOBAL ANALYSIS, OPPORTUNITIES AND FORECAST TO 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 then 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, LPI(LP Information) 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.

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, LP Information considers value generated from the sales of the following segments:

Segmentation by product type: 
Transaction 
Reporting 
Segmentation by application: 
BFSI 
Government and Defense 
Healthcare and Life Sciences 
Retail and Consumer Goods 
Transportation and Logistics 
IT and Telecommunication 
Manufacturing 
Energy and Utility

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We can also provide the customized separate regional or country-level reports, for the following regions: 
Americas 
United States 
Canada 
Mexico 
Brazil 
APAC 
China 
Japan 
Korea 
Southeast Asia 
India 
Australia 
Europe 
Germany 
France 
UK 
Italy 
Russia 
Spain 
Middle East & Africa 
Egypt 
South Africa 
Israel 
Turkey 
GCC Countries

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: 
Altibase 
IBM 
Microsoft 
Oracle 
SAP SE 
Exasol 
Jedox 
Kognitio 
Mcobject 
MemSQL 
MicroStrategy 
SAS Institute 
Teradata 
Terracotta 
VoltDB

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.

Research objectives 
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 subsegments. 
Focuses on the key global In-memory OLAP Database players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years. 
To analyze the In-memory OLAP Database with respect to individual growth trends, future prospects, and their contribution to the total market.

 

Table of Contents – Key Points

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 
2.2.1 Transaction 
2.2.2 Reporting 
2.2.3 Analytics 
2.3 In-memory OLAP Database Market Size by Type 
2.3.1 Global In-memory OLAP Database Market Size Market Share by Type (2013-2018) 
2.3.2 Global In-memory OLAP Database Market Size Growth Rate by Type (2013-2018) 
2.4 In-memory OLAP Database Segment by Application 
2.4.1 BFSI 
2.4.2 Government and Defense 
2.4.3 Healthcare and Life Sciences 
2.4.4 Retail and Consumer Goods 
2.4.5 Transportation and Logistics 
2.4.6 IT and Telecommunication 
2.4.7 Manufacturing 
2.4.8 Energy and Utility 
2.5 In-memory OLAP Database Market Size by Application 
2.5.1 Global In-memory OLAP Database Market Size Market Share by Application (2013-2018) 
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 
3.3 Market Concentration Rate Analysis 
3.3.1 Competition Landscape Analysis 
3.3.2 Concentration Ratio (CR3, CR5 and CR10) (2016-2018) 
3.4 New Products and Potential Entrants 
3.5 Mergers & Acquisitions, Expansion

……………

11 Key Players Analysis 
11.1 Altibase 
11.1.1 Company Details 
11.1.2 In-memory OLAP Database Product Offered 
11.1.3 Altibase In-memory OLAP Database Revenue, Gross Margin and Market Share (2016-2018) 
11.1.4 Main Business Overview 
11.1.5 Altibase News 
11.2 IBM 
11.2.1 Company Details 
11.2.2 In-memory OLAP Database Product Offered 
11.2.3 IBM In-memory OLAP Database Revenue, Gross Margin and Market Share (2016-2018) 
11.2.4 Main Business Overview 
11.2.5 IBM News 
11.3 Microsoft 
11.3.1 Company Details 
11.3.2 In-memory OLAP Database Product Offered 
11.3.3 Microsoft In-memory OLAP Database Revenue, Gross Margin and Market Share (2016-2018) 
11.3.4 Main Business Overview 
11.3.5 Microsoft News 
11.4 Oracle 
11.4.1 Company Details 
11.4.2 In-memory OLAP Database Product Offered 
11.4.3 Oracle In-memory OLAP Database Revenue, Gross Margin and Market Share (2016-2018) 
11.4.4 Main Business Overview 
11.4.5 Oracle News 
11.5 SAP SE 
11.5.1 Company Details 
11.5.2 In-memory OLAP Database Product Offered 
11.5.3 SAP SE In-memory OLAP Database Revenue, Gross Margin and Market Share (2016-2018) 
11.5.4 Main Business Overview 
11.5.5 SAP SE News 
11.6 Exasol 
11.6.1 Company Details 
11.6.2 In-memory OLAP Database Product Offered 
11.6.3 Exasol In-memory OLAP Database Revenue, Gross Margin and Market Share (2016-2018) 
11.6.4 Main Business Overview 
11.6.5 Exasol News 
11.7 Jedox 
11.7.1 Company Details 
11.7.2 In-memory OLAP Database Product Offered 
11.7.3 Jedox In-memory OLAP Database Revenue, Gross Margin and Market Share (2016-2018) 
11.7.4 Main Business Overview 
11.7.5 Jedox News 
11.8 Kognitio 
11.8.1 Company Details 
11.8.2 In-memory OLAP Database Product Offered 
11.8.3 Kognitio In-memory OLAP Database Revenue, Gross Margin and Market Share (2016-2018) 
11.8.4 Main Business Overview 
11.8.5 Kognitio News 
11.9 Mcobject 
11.9.1 Company Details 
11.9.2 In-memory OLAP Database Product Offered 
11.9.3 Mcobject In-memory OLAP Database Revenue, Gross Margin and Market Share (2016-2018) 
11.9.4 Main Business Overview 
11.9.5 Mcobject News 
11.10 MemSQL 
11.10.1 Company Details 
11.10.2 In-memory OLAP Database Product Offered 
11.10.3 MemSQL In-memory OLAP Database Revenue, Gross Margin and Market Share (2016-2018) 
11.10.4 Main Business Overview 
11.10.5 MemSQL News 
11.11 MicroStrategy

……Continued

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