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An in-memory database is a database management system that primarily relies on main memory for computer data storage. It is contrasted with database management systems that employ a disk storage mechanism. In-memory databases are faster than disk-optimized databases because disk access is slower than memory access, the internal optimization algorithms are simpler and execute fewer CPU instructions. Accessing data in memory eliminates seek time when querying the data, which provides faster and more predictable performance than disk.
Scope of the Report:
This report studies the In-Memory Database market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the In-Memory Database market by product type and applications/end industries.
The market in North America is expected to hold the largest share of the market. The APAC region is projected to have great opportunities in this market and would grow at the highest CAGR by 2023.
The global In-Memory Database market is valued at xx million USD in 2017 and is expected to reach xx million USD by the end of 2023, growing at a CAGR of xx% between 2017 and 2023.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of In-Memory Database.
Europe also play important roles in global market, with market size of xx million USD in 2017 and will be xx million USD in 2023, with a CAGR of xx%.
Market Segment by Companies, this report covers
Microsoft
IBM
Oracle
SAP
Teradata
Amazon Web Services
Tableau Software
Kognitio
VoltDB
Datastax
Enea Ab
Mcobject
Altibase
Starcounter
Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers
Online Analytical Processing (OLAP)
Online Transaction Processing (OLTP)
Market Segment by Applications, can be divided into
BFSI
Government and Defense
Healthcare and Life Sciences
Retail and Consumer Goods
Transportation and Logistics
IT and Telecommunication
Manufacturing
Energy and Utility
Others
The base year for the study has been considered 2019, historic year 2014 and 2018, the forecast period considered is from 2020 to 2027. The regions analyzed for the market include North America, Europe, South America, Asia Pacific, and Middle East and Africa. These regions are further analyzed at the country-level. The study also includes attractiveness analysis of type, application and regions which are benchmarked based on their market size, growth rate and attractiveness in terms of present and future opportunity for understanding the future growth of the market.
Market is segmented on the basis:
The report offers in-depth analysis of driving factors, opportunities, restraints, and challenges for gaining the key insight of the market. The report emphasizes on all the key trends that play a vital role in the enlargement of the market from 2019 to 2026.
The report provides company profile of the key players operating in the market and a comparative analysis based on their business overviews industry offering, segment market share, regional presence, business strategies, innovations, mergers & acquisitions, recent developments, joint venture, collaborations, partnerships, SWOT analysis, and key financial information.
Table of Contents
1 In-Memory Database Market Overview
1.1 Product Overview and Scope of In-Memory Database
1.2 Classification of In-Memory Database by Types
1.2.1 Global In-Memory Database Revenue Comparison by Types (2017-2023)
1.2.2 Global In-Memory Database Revenue Market Share by Types in 2017
1.2.3 Online Analytical Processing (OLAP)
1.2.4 Online Transaction Processing (OLTP)
1.3 Global In-Memory Database Market by Application
1.3.1 Global In-Memory Database Market Size and Market Share Comparison by Applications (2013-2023)
1.3.2 BFSI
1.3.3 Government and Defense
1.3.4 Healthcare and Life Sciences
1.3.5 Retail and Consumer Goods
1.3.6 Transportation and Logistics
1.3.7 IT and Telecommunication
1.3.8 Manufacturing
1.3.9 Energy and Utility
1.3.10 Others
1.4 Global In-Memory Database Market by Regions
1.4.1 Global In-Memory Database Market Size (Million USD) Comparison by Regions (2013-2023)
1.4.1 North America (USA, Canada and Mexico) In-Memory Database Status and Prospect (2013-2023)
1.4.2 Europe (Germany, France, UK, Russia and Italy) In-Memory Database Status and Prospect (2013-2023)
1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) In-Memory Database Status and Prospect (2013-2023)
1.4.4 South America (Brazil, Argentina, Colombia) In-Memory Database Status and Prospect (2013-2023)
1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) In-Memory Database Status and Prospect (2013-2023)
1.5 Global Market Size of In-Memory Database (2013-2023)
2 Manufacturers Profiles
2.1 Microsoft
2.1.1 Business Overview
2.1.2 In-Memory Database Type and Applications
2.1.2.1 Product A
2.1.2.2 Product B
2.1.3 Microsoft In-Memory Database Revenue, Gross Margin and Market Share (2016-2017)
2.2 IBM
2.2.1 Business Overview
2.2.2 In-Memory Database Type and Applications
2.2.2.1 Product A
2.2.2.2 Product B
2.2.3 IBM In-Memory Database Revenue, Gross Margin and Market Share (2016-2017)
2.3 Oracle
2.3.1 Business Overview
2.3.2 In-Memory Database Type and Applications
2.3.2.1 Product A
2.3.2.2 Product B
2.3.3 Oracle In-Memory Database Revenue, Gross Margin and Market Share (2016-2017)
2.4 SAP
2.4.1 Business Overview
2.4.2 In-Memory Database Type and Applications
2.4.2.1 Product A
2.4.2.2 Product B
2.4.3 SAP In-Memory Database Revenue, Gross Margin and Market Share (2016-2017)
2.5 Teradata
2.5.1 Business Overview
2.5.2 In-Memory Database Type and Applications
2.5.2.1 Product A
2.5.2.2 Product B
2.5.3 Teradata In-Memory Database Revenue, Gross Margin and Market Share (2016-2017)
2.6 Amazon Web Services
2.6.1 Business Overview
2.6.2 In-Memory Database Type and Applications
2.6.2.1 Product A
2.6.2.2 Product B
2.6.3 Amazon Web Services In-Memory Database Revenue, Gross Margin and Market Share (2016-2017)
2.7 Tableau Software
2.7.1 Business Overview
2.7.2 In-Memory Database Type and Applications
2.7.2.1 Product A
2.7.2.2 Product B
2.7.3 Tableau Software In-Memory Database Revenue, Gross Margin and Market Share (2016-2017)
2.8 Kognitio
2.8.1 Business Overview
2.8.2 In-Memory Database Type and Applications
2.8.2.1 Product A
2.8.2.2 Product B
2.8.3 Kognitio In-Memory Database Revenue, Gross Margin and Market Share (2016-2017)
2.9 VoltDB
2.9.1 Business Overview
2.9.2 In-Memory Database Type and Applications
2.9.2.1 Product A
2.9.2.2 Product B
2.9.3 VoltDB In-Memory Database Revenue, Gross Margin and Market Share (2016-2017)
2.10 Datastax
2.10.1 Business Overview
2.10.2 In-Memory Database Type and Applications
2.10.2.1 Product A
2.10.2.2 Product B
2.10.3 Datastax In-Memory Database Revenue, Gross Margin and Market Share (2016-2017)
2.11 Enea Ab
2.11.1 Business Overview
2.11.2 In-Memory Database Type and Applications
2.11.2.1 Product A
2.11.2.2 Product B
2.11.3 Enea Ab In-Memory Database Revenue, Gross Margin and Market Share (2016-2017)
2.12 Mcobject
2.12.1 Business Overview
2.12.2 In-Memory Database Type and Applications
2.12.2.1 Product A
2.12.2.2 Product B
2.12.3 Mcobject In-Memory Database Revenue, Gross Margin and Market Share (2016-2017)
2.13 Altibase
2.13.1 Business Overview
2.13.2 In-Memory Database Type and Applications
2.13.2.1 Product A
2.13.2.2 Product B
2.13.3 Altibase In-Memory Database Revenue, Gross Margin and Market Share (2016-2017)
2.14 Starcounter
2.14.1 Business Overview
2.14.2 In-Memory Database Type and Applications
2.14.2.1 Product A
2.14.2.2 Product B
2.14.3 Starcounter In-Memory Database Revenue, Gross Margin and Market Share (2016-2017)
3 Global In-Memory Database Market Competition, by Players
3.1 Global In-Memory Database Revenue and Share by Players (2013-2018)
3.2 Market Concentration Rate
3.2.1 Top 5 In-Memory Database Players Market Share
3.2.2 Top 10 In-Memory Database Players Market Share
3.3 Market Competition Trend
4 Global In-Memory Database Market Size by Regions
4.1 Global In-Memory Database Revenue and Market Share by Regions
4.2 North America In-Memory Database Revenue and Growth Rate (2013-2018)
4.3 Europe In-Memory Database Revenue and Growth Rate (2013-2018)
4.4 Asia-Pacific In-Memory Database Revenue and Growth Rate (2013-2018)
4.5 South America In-Memory Database Revenue and Growth Rate (2013-2018)
4.6 Middle East and Africa In-Memory Database Revenue and Growth Rate (2013-2018)
5 North America In-Memory Database Revenue by Countries
5.1 North America In-Memory Database Revenue by Countries (2013-2018)
5.2 USA In-Memory Database Revenue and Growth Rate (2013-2018)
5.3 Canada In-Memory Database Revenue and Growth Rate (2013-2018)
5.4 Mexico In-Memory Database Revenue and Growth Rate (2013-2018)
6 Europe In-Memory Database Revenue by Countries
6.1 Europe In-Memory Database Revenue by Countries (2013-2018)
6.2 Germany In-Memory Database Revenue and Growth Rate (2013-2018)
6.3 UK In-Memory Database Revenue and Growth Rate (2013-2018)
6.4 France In-Memory Database Revenue and Growth Rate (2013-2018)
6.5 Russia In-Memory Database Revenue and Growth Rate (2013-2018)
6.6 Italy In-Memory Database Revenue and Growth Rate (2013-2018)
7 Asia-Pacific In-Memory Database Revenue by Countries
7.1 Asia-Pacific In-Memory Database Revenue by Countries (2013-2018)
7.2 China In-Memory Database Revenue and Growth Rate (2013-2018)
7.3 Japan In-Memory Database Revenue and Growth Rate (2013-2018)
7.4 Korea In-Memory Database Revenue and Growth Rate (2013-2018)
7.5 India In-Memory Database Revenue and Growth Rate (2013-2018)
7.6 Southeast Asia In-Memory Database Revenue and Growth Rate (2013-2018)
8 South America In-Memory Database Revenue by Countries
8.1 South America In-Memory Database Revenue by Countries (2013-2018)
8.2 Brazil In-Memory Database Revenue and Growth Rate (2013-2018)
8.3 Argentina In-Memory Database Revenue and Growth Rate (2013-2018)
8.4 Colombia In-Memory Database Revenue and Growth Rate (2013-2018)
9 Middle East and Africa Revenue In-Memory Database by Countries
9.1 Middle East and Africa In-Memory Database Revenue by Countries (2013-2018)
9.2 Saudi Arabia In-Memory Database Revenue and Growth Rate (2013-2018)
9.3 UAE In-Memory Database Revenue and Growth Rate (2013-2018)
9.4 Egypt In-Memory Database Revenue and Growth Rate (2013-2018)
9.5 Nigeria In-Memory Database Revenue and Growth Rate (2013-2018)
9.6 South Africa In-Memory Database Revenue and Growth Rate (2013-2018)
10 Global In-Memory Database Market Segment by Type
10.1 Global In-Memory Database Revenue and Market Share by Type (2013-2018)
10.2 Global In-Memory Database Market Forecast by Type (2018-2023)
10.3 Online Analytical Processing (OLAP) Revenue Growth Rate (2013-2023)
10.4 Online Transaction Processing (OLTP) Revenue Growth Rate (2013-2023)
11 Global In-Memory Database Market Segment by Application
11.1 Global In-Memory Database Revenue Market Share by Application (2013-2018)
11.2 In-Memory Database Market Forecast by Application (2018-2023)
11.3 BFSI Revenue Growth (2013-2018)
11.4 Government and Defense Revenue Growth (2013-2018)
11.5 Healthcare and Life Sciences Revenue Growth (2013-2018)
11.6 Retail and Consumer Goods Revenue Growth (2013-2018)
11.7 Transportation and Logistics Revenue Growth (2013-2018)
11.8 IT and Telecommunication Revenue Growth (2013-2018)
11.9 Manufacturing Revenue Growth (2013-2018)
11.10 Energy and Utility Revenue Growth (2013-2018)
11.11 Others Revenue Growth (2013-2018)
12 Global In-Memory Database Market Size Forecast (2018-2023)
12.1 Global In-Memory Database Market Size Forecast (2018-2023)
12.2 Global In-Memory Database Market Forecast by Regions (2018-2023)
12.3 North America In-Memory Database Revenue Market Forecast (2018-2023)
12.4 Europe In-Memory Database Revenue Market Forecast (2018-2023)
12.5 Asia-Pacific In-Memory Database Revenue Market Forecast (2018-2023)
12.6 South America In-Memory Database Revenue Market Forecast (2018-2023)
12.7 Middle East and Africa In-Memory Database Revenue Market Forecast (2018-2023)
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Data Source
List of Tables and Figures
Figure In-Memory Database Picture
Table Product Specifications of In-Memory Database
Table Global In-Memory Database and Revenue (Million USD) Market Split by Product Type<
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