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In-memory computing is the storage of information in the main random access memory (RAM) of dedicated servers rather than in complicated relational databases operating on comparatively slow disk drives. In-memory computing helps business customers, including retailers, banks and utilities, to quickly detect patterns, analyze massive data volumes on the fly, and perform their operations quickly. The drop in memory prices in the present market is a major factor contributing to the increasing popularity of in-memory computing technology. This has made in-memory computing economical among a wide variety of applications.
Scope of the Report:
This report studies the In-memory Computing 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 Computing market by product type and applications/end industries.
The In-Memory Computing Market has seen rapid adoption across verticals such as Banking, Financial Services, and Insurance (BFSI), IT & telecom, government, and retail, which has led to rapid growth of the market globally. IMC has a wide scope and finds acceptability across all verticals. Enterprises across all the verticals generate data and there is increased need to manage this organizational data to streamline business processes and achieve strategic initiatives.
The global In-memory Computing 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 Computing.
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
IBM
Oracle
SAP
Altibase
Giga Spaces
Grid Gain Systems
Hazelcast
Microsoft
Software AG
ScaleOut Software
TIBCO
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
Relational Database
NoSQL
Market Segment by Applications, can be divided into
BFSI
Retail
Telecom & IT
Healthcare
Aerospace and Defense
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 Computing Market Overview
1.1 Product Overview and Scope of In-memory Computing
1.2 Classification of In-memory Computing by Types
1.2.1 Global In-memory Computing Revenue Comparison by Types (2017-2023)
1.2.2 Global In-memory Computing Revenue Market Share by Types in 2017
1.2.3 Relational Database
1.2.4 NoSQL
1.3 Global In-memory Computing Market by Application
1.3.1 Global In-memory Computing Market Size and Market Share Comparison by Applications (2013-2023)
1.3.2 BFSI
1.3.3 Retail
1.3.4 Telecom & IT
1.3.5 Healthcare
1.3.6 Aerospace and Defense
1.4 Global In-memory Computing Market by Regions
1.4.1 Global In-memory Computing Market Size (Million USD) Comparison by Regions (2013-2023)
1.4.1 North America (USA, Canada and Mexico) In-memory Computing Status and Prospect (2013-2023)
1.4.2 Europe (Germany, France, UK, Russia and Italy) In-memory Computing Status and Prospect (2013-2023)
1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) In-memory Computing Status and Prospect (2013-2023)
1.4.4 South America (Brazil, Argentina, Colombia) In-memory Computing Status and Prospect (2013-2023)
1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) In-memory Computing Status and Prospect (2013-2023)
1.5 Global Market Size of In-memory Computing (2013-2023)
2 Manufacturers Profiles
2.1 IBM
2.1.1 Business Overview
2.1.2 In-memory Computing Type and Applications
2.1.2.1 Product A
2.1.2.2 Product B
2.1.3 IBM In-memory Computing Revenue, Gross Margin and Market Share (2016-2017)
2.2 Oracle
2.2.1 Business Overview
2.2.2 In-memory Computing Type and Applications
2.2.2.1 Product A
2.2.2.2 Product B
2.2.3 Oracle In-memory Computing Revenue, Gross Margin and Market Share (2016-2017)
2.3 SAP
2.3.1 Business Overview
2.3.2 In-memory Computing Type and Applications
2.3.2.1 Product A
2.3.2.2 Product B
2.3.3 SAP In-memory Computing Revenue, Gross Margin and Market Share (2016-2017)
2.4 Altibase
2.4.1 Business Overview
2.4.2 In-memory Computing Type and Applications
2.4.2.1 Product A
2.4.2.2 Product B
2.4.3 Altibase In-memory Computing Revenue, Gross Margin and Market Share (2016-2017)
2.5 Giga Spaces
2.5.1 Business Overview
2.5.2 In-memory Computing Type and Applications
2.5.2.1 Product A
2.5.2.2 Product B
2.5.3 Giga Spaces In-memory Computing Revenue, Gross Margin and Market Share (2016-2017)
2.6 Grid Gain Systems
2.6.1 Business Overview
2.6.2 In-memory Computing Type and Applications
2.6.2.1 Product A
2.6.2.2 Product B
2.6.3 Grid Gain Systems In-memory Computing Revenue, Gross Margin and Market Share (2016-2017)
2.7 Hazelcast
2.7.1 Business Overview
2.7.2 In-memory Computing Type and Applications
2.7.2.1 Product A
2.7.2.2 Product B
2.7.3 Hazelcast In-memory Computing Revenue, Gross Margin and Market Share (2016-2017)
2.8 Microsoft
2.8.1 Business Overview
2.8.2 In-memory Computing Type and Applications
2.8.2.1 Product A
2.8.2.2 Product B
2.8.3 Microsoft In-memory Computing Revenue, Gross Margin and Market Share (2016-2017)
2.9 Software AG
2.9.1 Business Overview
2.9.2 In-memory Computing Type and Applications
2.9.2.1 Product A
2.9.2.2 Product B
2.9.3 Software AG In-memory Computing Revenue, Gross Margin and Market Share (2016-2017)
2.10 ScaleOut Software
2.10.1 Business Overview
2.10.2 In-memory Computing Type and Applications
2.10.2.1 Product A
2.10.2.2 Product B
2.10.3 ScaleOut Software In-memory Computing Revenue, Gross Margin and Market Share (2016-2017)
2.11 TIBCO
2.11.1 Business Overview
2.11.2 In-memory Computing Type and Applications
2.11.2.1 Product A
2.11.2.2 Product B
2.11.3 TIBCO In-memory Computing Revenue, Gross Margin and Market Share (2016-2017)
3 Global In-memory Computing Market Competition, by Players
3.1 Global In-memory Computing Revenue and Share by Players (2013-2018)
3.2 Market Concentration Rate
3.2.1 Top 5 In-memory Computing Players Market Share
3.2.2 Top 10 In-memory Computing Players Market Share
3.3 Market Competition Trend
4 Global In-memory Computing Market Size by Regions
4.1 Global In-memory Computing Revenue and Market Share by Regions
4.2 North America In-memory Computing Revenue and Growth Rate (2013-2018)
4.3 Europe In-memory Computing Revenue and Growth Rate (2013-2018)
4.4 Asia-Pacific In-memory Computing Revenue and Growth Rate (2013-2018)
4.5 South America In-memory Computing Revenue and Growth Rate (2013-2018)
4.6 Middle East and Africa In-memory Computing Revenue and Growth Rate (2013-2018)
5 North America In-memory Computing Revenue by Countries
5.1 North America In-memory Computing Revenue by Countries (2013-2018)
5.2 USA In-memory Computing Revenue and Growth Rate (2013-2018)
5.3 Canada In-memory Computing Revenue and Growth Rate (2013-2018)
5.4 Mexico In-memory Computing Revenue and Growth Rate (2013-2018)
6 Europe In-memory Computing Revenue by Countries
6.1 Europe In-memory Computing Revenue by Countries (2013-2018)
6.2 Germany In-memory Computing Revenue and Growth Rate (2013-2018)
6.3 UK In-memory Computing Revenue and Growth Rate (2013-2018)
6.4 France In-memory Computing Revenue and Growth Rate (2013-2018)
6.5 Russia In-memory Computing Revenue and Growth Rate (2013-2018)
6.6 Italy In-memory Computing Revenue and Growth Rate (2013-2018)
7 Asia-Pacific In-memory Computing Revenue by Countries
7.1 Asia-Pacific In-memory Computing Revenue by Countries (2013-2018)
7.2 China In-memory Computing Revenue and Growth Rate (2013-2018)
7.3 Japan In-memory Computing Revenue and Growth Rate (2013-2018)
7.4 Korea In-memory Computing Revenue and Growth Rate (2013-2018)
7.5 India In-memory Computing Revenue and Growth Rate (2013-2018)
7.6 Southeast Asia In-memory Computing Revenue and Growth Rate (2013-2018)
8 South America In-memory Computing Revenue by Countries
8.1 South America In-memory Computing Revenue by Countries (2013-2018)
8.2 Brazil In-memory Computing Revenue and Growth Rate (2013-2018)
8.3 Argentina In-memory Computing Revenue and Growth Rate (2013-2018)
8.4 Colombia In-memory Computing Revenue and Growth Rate (2013-2018)
9 Middle East and Africa Revenue In-memory Computing by Countries
9.1 Middle East and Africa In-memory Computing Revenue by Countries (2013-2018)
9.2 Saudi Arabia In-memory Computing Revenue and Growth Rate (2013-2018)
9.3 UAE In-memory Computing Revenue and Growth Rate (2013-2018)
9.4 Egypt In-memory Computing Revenue and Growth Rate (2013-2018)
9.5 Nigeria In-memory Computing Revenue and Growth Rate (2013-2018)
9.6 South Africa In-memory Computing Revenue and Growth Rate (2013-2018)
10 Global In-memory Computing Market Segment by Type
10.1 Global In-memory Computing Revenue and Market Share by Type (2013-2018)
10.2 Global In-memory Computing Market Forecast by Type (2018-2023)
10.3 Relational Database Revenue Growth Rate (2013-2023)
10.4 NoSQL Revenue Growth Rate (2013-2023)
11 Global In-memory Computing Market Segment by Application
11.1 Global In-memory Computing Revenue Market Share by Application (2013-2018)
11.2 In-memory Computing Market Forecast by Application (2018-2023)
11.3 BFSI Revenue Growth (2013-2018)
11.4 Retail Revenue Growth (2013-2018)
11.5 Telecom & IT Revenue Growth (2013-2018)
11.6 Healthcare Revenue Growth (2013-2018)
11.7 Aerospace and Defense Revenue Growth (2013-2018)
12 Global In-memory Computing Market Size Forecast (2018-2023)
12.1 Global In-memory Computing Market Size Forecast (2018-2023)
12.2 Global In-memory Computing Market Forecast by Regions (2018-2023)
12.3 North America In-memory Computing Revenue Market Forecast (2018-2023)
12.4 Europe In-memory Computing Revenue Market Forecast (2018-2023)
12.5 Asia-Pacific In-memory Computing Revenue Market Forecast (2018-2023)
12.6 South America In-memory Computing Revenue Market Forecast (2018-2023)
12.7 Middle East and Africa In-memory Computing 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 Computing Picture
Table Product Specifications of In-memory Computing
Table Global In-memory Computing and Revenue (Million USD) Market Split by Product Ty
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