Global In Memory Computing Market
Global In Memory Computing Market

In Memory Computing Comprehensive Study by End Users (BFSI, Retail, Telecom and IT, Healthcare, Aerospace and defense), Solutions (Online Analytical Processing (OLAP), Online Transaction Processing (OLTP)), Component (In-Memory Data Management (IMDM), In-Memory Application Platform (IMAP)) Players and Region - Global Market Outlook to 2024

In Memory Computing Market Segmented into XX Submarkets. | Forecast Years: 2019- 2024  

Oct 2019 Edition 218 Pages 210 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
In Memory Computing Market Definition
In memory computing uses the Random Access Memory (RAM) to store the information instead of operating on slow disk drive. It uses the middleware software to store the data and process it in parallel. In memory computing provides 2 to 3x performance as RAM is 5000 times faster than spinning disk. Additionally, this technology uses sophisticated data compression to store the data. It helps in detecting the pattern, analyze massive data patterns so that the business customers can take their actions quickly. These advantages is creating a high demand for in memory computing which is propelling the market.

The market study is broken down and major geographies with country level splits.

Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global In Memory Computing market throughout the predicted period.

IBM (United States), SAP SE (Germany), Oracle (United States), Microsoft (United States), Altibase (United States), ScaleOut Software (United States), HCL Technologies Limited (India), GridGain (United States), Software AG (Germany) and Exasol (Germany) are some of the key players that are part of study coverage.

Segmentation Overview
AdvanceMarketAnalytics has segmented the market of Global In Memory Computing market by Type, Application and Region.

On the basis of geography, the market of In Memory Computing has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by End Users, the sub-segment i.e. BFSI will boost the In Memory Computing market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Solutions, the sub-segment i.e. Online Analytical Processing (OLAP) will boost the In Memory Computing market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Component, the sub-segment i.e. In-Memory Data Management (IMDM) will boost the In Memory Computing market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Leaders and their expansionary development strategies
29th October 2018, IBM has acquired Red hat. This acquisition will help in diversifying the technology hardware and consulting business.



Market Trend
  • Rising Usage of Analytics for Decision Making
  • Adoption of Technology Owing to Increasing Digitalization

Market Drivers
  • Drop in Memory Prices is leading to Increase in Popularity of in Memory Computing Technology
  • Need For Improved Performance of Analysis Due to Growth of Big Data

Opportunities
  • Increasing Usage of Internet and Mobile Banking
  • Rising IT Sector in Developing Economies

Restraints
  • Limited Storage Space for Large Data

Challenges
  • Lack of Industry Standards
  • Concerns Regarding the Security of Data


Key Target Audience
Manufacturers, Raw Material Suppliers, Distributors and Traders, Research Organizations, Government Agencies and Organizations

Key Finding and Research Objectives
Manufacturers Raw Material Suppliers Distributors and Traders Research Organizations Government Agencies Organizations

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a
preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from total available market.

Customization available in this Study:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be informed prior purchase
Report Objectives / Segmentation Covered
By End Users
  • BFSI
  • Retail
  • Telecom and IT
  • Healthcare
  • Aerospace and defense

By Solutions
  • Online Analytical Processing (OLAP)
  • Online Transaction Processing (OLTP)

By Component
  • In-Memory Data Management (IMDM)
  • In-Memory Application Platform (IMAP)

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Drop in Memory Prices is leading to Increase in Popularity of in Memory Computing Technology
      • 3.2.2. Need For Improved Performance of Analysis Due to Growth of Big Data
    • 3.3. Market Challenges
      • 3.3.1. Lack of Industry Standards
      • 3.3.2. Concerns Regarding the Security of Data
    • 3.4. Market Trends
      • 3.4.1. Rising Usage of Analytics for Decision Making
      • 3.4.2. Adoption of Technology Owing to Increasing Digitalization
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global In Memory Computing, by End Users, Solutions, Component and Region (value) (2013-2018)
    • 5.1. Introduction
    • 5.2. Global In Memory Computing (Value)
      • 5.2.1. Global In Memory Computing by: End Users (Value)
        • 5.2.1.1. BFSI
        • 5.2.1.2. Retail
        • 5.2.1.3. Telecom and IT
        • 5.2.1.4. Healthcare
        • 5.2.1.5. Aerospace and defense
      • 5.2.2. Global In Memory Computing by: Solutions (Value)
        • 5.2.2.1. Online Analytical Processing (OLAP)
        • 5.2.2.2. Online Transaction Processing (OLTP)
      • 5.2.3. Global In Memory Computing by: Component (Value)
        • 5.2.3.1. In-Memory Data Management (IMDM)
        • 5.2.3.2. In-Memory Application Platform (IMAP)
      • 5.2.4. Global In Memory Computing Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
  • 6. In Memory Computing: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2018)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. IBM (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. SAP SE (Germany)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Oracle (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Microsoft (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Altibase (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. ScaleOut Software (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. HCL Technologies Limited (India)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. GridGain (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Software AG (Germany)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Exasol (Germany)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global In Memory Computing Sale, by End Users, Solutions, Component and Region (value) (2019-2024)
    • 7.1. Introduction
    • 7.2. Global In Memory Computing (Value)
      • 7.2.1. Global In Memory Computing by: End Users (Value)
        • 7.2.1.1. BFSI
        • 7.2.1.2. Retail
        • 7.2.1.3. Telecom and IT
        • 7.2.1.4. Healthcare
        • 7.2.1.5. Aerospace and defense
      • 7.2.2. Global In Memory Computing by: Solutions (Value)
        • 7.2.2.1. Online Analytical Processing (OLAP)
        • 7.2.2.2. Online Transaction Processing (OLTP)
      • 7.2.3. Global In Memory Computing by: Component (Value)
        • 7.2.3.1. In-Memory Data Management (IMDM)
        • 7.2.3.2. In-Memory Application Platform (IMAP)
      • 7.2.4. Global In Memory Computing Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. In Memory Computing: by End Users(USD Million)
  • Table 2. In Memory Computing BFSI , by Region USD Million (2013-2018)
  • Table 3. In Memory Computing Retail , by Region USD Million (2013-2018)
  • Table 4. In Memory Computing Telecom and IT , by Region USD Million (2013-2018)
  • Table 5. In Memory Computing Healthcare , by Region USD Million (2013-2018)
  • Table 6. In Memory Computing Aerospace and defense , by Region USD Million (2013-2018)
  • Table 7. In Memory Computing: by Solutions(USD Million)
  • Table 8. In Memory Computing Online Analytical Processing (OLAP) , by Region USD Million (2013-2018)
  • Table 9. In Memory Computing Online Transaction Processing (OLTP) , by Region USD Million (2013-2018)
  • Table 10. In Memory Computing: by Component(USD Million)
  • Table 11. In Memory Computing In-Memory Data Management (IMDM) , by Region USD Million (2013-2018)
  • Table 12. In Memory Computing In-Memory Application Platform (IMAP) , by Region USD Million (2013-2018)
  • Table 13. South America In Memory Computing, by Country USD Million (2013-2018)
  • Table 14. South America In Memory Computing, by End Users USD Million (2013-2018)
  • Table 15. South America In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 16. South America In Memory Computing, by Component USD Million (2013-2018)
  • Table 17. Brazil In Memory Computing, by End Users USD Million (2013-2018)
  • Table 18. Brazil In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 19. Brazil In Memory Computing, by Component USD Million (2013-2018)
  • Table 20. Argentina In Memory Computing, by End Users USD Million (2013-2018)
  • Table 21. Argentina In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 22. Argentina In Memory Computing, by Component USD Million (2013-2018)
  • Table 23. Rest of South America In Memory Computing, by End Users USD Million (2013-2018)
  • Table 24. Rest of South America In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 25. Rest of South America In Memory Computing, by Component USD Million (2013-2018)
  • Table 26. Asia Pacific In Memory Computing, by Country USD Million (2013-2018)
  • Table 27. Asia Pacific In Memory Computing, by End Users USD Million (2013-2018)
  • Table 28. Asia Pacific In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 29. Asia Pacific In Memory Computing, by Component USD Million (2013-2018)
  • Table 30. China In Memory Computing, by End Users USD Million (2013-2018)
  • Table 31. China In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 32. China In Memory Computing, by Component USD Million (2013-2018)
  • Table 33. Japan In Memory Computing, by End Users USD Million (2013-2018)
  • Table 34. Japan In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 35. Japan In Memory Computing, by Component USD Million (2013-2018)
  • Table 36. India In Memory Computing, by End Users USD Million (2013-2018)
  • Table 37. India In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 38. India In Memory Computing, by Component USD Million (2013-2018)
  • Table 39. South Korea In Memory Computing, by End Users USD Million (2013-2018)
  • Table 40. South Korea In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 41. South Korea In Memory Computing, by Component USD Million (2013-2018)
  • Table 42. Taiwan In Memory Computing, by End Users USD Million (2013-2018)
  • Table 43. Taiwan In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 44. Taiwan In Memory Computing, by Component USD Million (2013-2018)
  • Table 45. Australia In Memory Computing, by End Users USD Million (2013-2018)
  • Table 46. Australia In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 47. Australia In Memory Computing, by Component USD Million (2013-2018)
  • Table 48. Rest of Asia-Pacific In Memory Computing, by End Users USD Million (2013-2018)
  • Table 49. Rest of Asia-Pacific In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 50. Rest of Asia-Pacific In Memory Computing, by Component USD Million (2013-2018)
  • Table 51. Europe In Memory Computing, by Country USD Million (2013-2018)
  • Table 52. Europe In Memory Computing, by End Users USD Million (2013-2018)
  • Table 53. Europe In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 54. Europe In Memory Computing, by Component USD Million (2013-2018)
  • Table 55. Germany In Memory Computing, by End Users USD Million (2013-2018)
  • Table 56. Germany In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 57. Germany In Memory Computing, by Component USD Million (2013-2018)
  • Table 58. France In Memory Computing, by End Users USD Million (2013-2018)
  • Table 59. France In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 60. France In Memory Computing, by Component USD Million (2013-2018)
  • Table 61. Italy In Memory Computing, by End Users USD Million (2013-2018)
  • Table 62. Italy In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 63. Italy In Memory Computing, by Component USD Million (2013-2018)
  • Table 64. United Kingdom In Memory Computing, by End Users USD Million (2013-2018)
  • Table 65. United Kingdom In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 66. United Kingdom In Memory Computing, by Component USD Million (2013-2018)
  • Table 67. Netherlands In Memory Computing, by End Users USD Million (2013-2018)
  • Table 68. Netherlands In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 69. Netherlands In Memory Computing, by Component USD Million (2013-2018)
  • Table 70. Rest of Europe In Memory Computing, by End Users USD Million (2013-2018)
  • Table 71. Rest of Europe In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 72. Rest of Europe In Memory Computing, by Component USD Million (2013-2018)
  • Table 73. MEA In Memory Computing, by Country USD Million (2013-2018)
  • Table 74. MEA In Memory Computing, by End Users USD Million (2013-2018)
  • Table 75. MEA In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 76. MEA In Memory Computing, by Component USD Million (2013-2018)
  • Table 77. Middle East In Memory Computing, by End Users USD Million (2013-2018)
  • Table 78. Middle East In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 79. Middle East In Memory Computing, by Component USD Million (2013-2018)
  • Table 80. Africa In Memory Computing, by End Users USD Million (2013-2018)
  • Table 81. Africa In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 82. Africa In Memory Computing, by Component USD Million (2013-2018)
  • Table 83. North America In Memory Computing, by Country USD Million (2013-2018)
  • Table 84. North America In Memory Computing, by End Users USD Million (2013-2018)
  • Table 85. North America In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 86. North America In Memory Computing, by Component USD Million (2013-2018)
  • Table 87. United States In Memory Computing, by End Users USD Million (2013-2018)
  • Table 88. United States In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 89. United States In Memory Computing, by Component USD Million (2013-2018)
  • Table 90. Canada In Memory Computing, by End Users USD Million (2013-2018)
  • Table 91. Canada In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 92. Canada In Memory Computing, by Component USD Million (2013-2018)
  • Table 93. Mexico In Memory Computing, by End Users USD Million (2013-2018)
  • Table 94. Mexico In Memory Computing, by Solutions USD Million (2013-2018)
  • Table 95. Mexico In Memory Computing, by Component USD Million (2013-2018)
  • Table 96. Company Basic Information, Sales Area and Its Competitors
  • Table 97. Company Basic Information, Sales Area and Its Competitors
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. In Memory Computing: by End Users(USD Million)
  • Table 107. In Memory Computing BFSI , by Region USD Million (2019-2024)
  • Table 108. In Memory Computing Retail , by Region USD Million (2019-2024)
  • Table 109. In Memory Computing Telecom and IT , by Region USD Million (2019-2024)
  • Table 110. In Memory Computing Healthcare , by Region USD Million (2019-2024)
  • Table 111. In Memory Computing Aerospace and defense , by Region USD Million (2019-2024)
  • Table 112. In Memory Computing: by Solutions(USD Million)
  • Table 113. In Memory Computing Online Analytical Processing (OLAP) , by Region USD Million (2019-2024)
  • Table 114. In Memory Computing Online Transaction Processing (OLTP) , by Region USD Million (2019-2024)
  • Table 115. In Memory Computing: by Component(USD Million)
  • Table 116. In Memory Computing In-Memory Data Management (IMDM) , by Region USD Million (2019-2024)
  • Table 117. In Memory Computing In-Memory Application Platform (IMAP) , by Region USD Million (2019-2024)
  • Table 118. South America In Memory Computing, by Country USD Million (2019-2024)
  • Table 119. South America In Memory Computing, by End Users USD Million (2019-2024)
  • Table 120. South America In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 121. South America In Memory Computing, by Component USD Million (2019-2024)
  • Table 122. Brazil In Memory Computing, by End Users USD Million (2019-2024)
  • Table 123. Brazil In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 124. Brazil In Memory Computing, by Component USD Million (2019-2024)
  • Table 125. Argentina In Memory Computing, by End Users USD Million (2019-2024)
  • Table 126. Argentina In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 127. Argentina In Memory Computing, by Component USD Million (2019-2024)
  • Table 128. Rest of South America In Memory Computing, by End Users USD Million (2019-2024)
  • Table 129. Rest of South America In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 130. Rest of South America In Memory Computing, by Component USD Million (2019-2024)
  • Table 131. Asia Pacific In Memory Computing, by Country USD Million (2019-2024)
  • Table 132. Asia Pacific In Memory Computing, by End Users USD Million (2019-2024)
  • Table 133. Asia Pacific In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 134. Asia Pacific In Memory Computing, by Component USD Million (2019-2024)
  • Table 135. China In Memory Computing, by End Users USD Million (2019-2024)
  • Table 136. China In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 137. China In Memory Computing, by Component USD Million (2019-2024)
  • Table 138. Japan In Memory Computing, by End Users USD Million (2019-2024)
  • Table 139. Japan In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 140. Japan In Memory Computing, by Component USD Million (2019-2024)
  • Table 141. India In Memory Computing, by End Users USD Million (2019-2024)
  • Table 142. India In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 143. India In Memory Computing, by Component USD Million (2019-2024)
  • Table 144. South Korea In Memory Computing, by End Users USD Million (2019-2024)
  • Table 145. South Korea In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 146. South Korea In Memory Computing, by Component USD Million (2019-2024)
  • Table 147. Taiwan In Memory Computing, by End Users USD Million (2019-2024)
  • Table 148. Taiwan In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 149. Taiwan In Memory Computing, by Component USD Million (2019-2024)
  • Table 150. Australia In Memory Computing, by End Users USD Million (2019-2024)
  • Table 151. Australia In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 152. Australia In Memory Computing, by Component USD Million (2019-2024)
  • Table 153. Rest of Asia-Pacific In Memory Computing, by End Users USD Million (2019-2024)
  • Table 154. Rest of Asia-Pacific In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 155. Rest of Asia-Pacific In Memory Computing, by Component USD Million (2019-2024)
  • Table 156. Europe In Memory Computing, by Country USD Million (2019-2024)
  • Table 157. Europe In Memory Computing, by End Users USD Million (2019-2024)
  • Table 158. Europe In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 159. Europe In Memory Computing, by Component USD Million (2019-2024)
  • Table 160. Germany In Memory Computing, by End Users USD Million (2019-2024)
  • Table 161. Germany In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 162. Germany In Memory Computing, by Component USD Million (2019-2024)
  • Table 163. France In Memory Computing, by End Users USD Million (2019-2024)
  • Table 164. France In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 165. France In Memory Computing, by Component USD Million (2019-2024)
  • Table 166. Italy In Memory Computing, by End Users USD Million (2019-2024)
  • Table 167. Italy In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 168. Italy In Memory Computing, by Component USD Million (2019-2024)
  • Table 169. United Kingdom In Memory Computing, by End Users USD Million (2019-2024)
  • Table 170. United Kingdom In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 171. United Kingdom In Memory Computing, by Component USD Million (2019-2024)
  • Table 172. Netherlands In Memory Computing, by End Users USD Million (2019-2024)
  • Table 173. Netherlands In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 174. Netherlands In Memory Computing, by Component USD Million (2019-2024)
  • Table 175. Rest of Europe In Memory Computing, by End Users USD Million (2019-2024)
  • Table 176. Rest of Europe In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 177. Rest of Europe In Memory Computing, by Component USD Million (2019-2024)
  • Table 178. MEA In Memory Computing, by Country USD Million (2019-2024)
  • Table 179. MEA In Memory Computing, by End Users USD Million (2019-2024)
  • Table 180. MEA In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 181. MEA In Memory Computing, by Component USD Million (2019-2024)
  • Table 182. Middle East In Memory Computing, by End Users USD Million (2019-2024)
  • Table 183. Middle East In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 184. Middle East In Memory Computing, by Component USD Million (2019-2024)
  • Table 185. Africa In Memory Computing, by End Users USD Million (2019-2024)
  • Table 186. Africa In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 187. Africa In Memory Computing, by Component USD Million (2019-2024)
  • Table 188. North America In Memory Computing, by Country USD Million (2019-2024)
  • Table 189. North America In Memory Computing, by End Users USD Million (2019-2024)
  • Table 190. North America In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 191. North America In Memory Computing, by Component USD Million (2019-2024)
  • Table 192. United States In Memory Computing, by End Users USD Million (2019-2024)
  • Table 193. United States In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 194. United States In Memory Computing, by Component USD Million (2019-2024)
  • Table 195. Canada In Memory Computing, by End Users USD Million (2019-2024)
  • Table 196. Canada In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 197. Canada In Memory Computing, by Component USD Million (2019-2024)
  • Table 198. Mexico In Memory Computing, by End Users USD Million (2019-2024)
  • Table 199. Mexico In Memory Computing, by Solutions USD Million (2019-2024)
  • Table 200. Mexico In Memory Computing, by Component USD Million (2019-2024)
  • Table 201. Research Programs/Design for This Report
  • Table 202. Key Data Information from Secondary Sources
  • Table 203. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global In Memory Computing: by End Users USD Million (2013-2018)
  • Figure 5. Global In Memory Computing: by Solutions USD Million (2013-2018)
  • Figure 6. Global In Memory Computing: by Component USD Million (2013-2018)
  • Figure 7. South America In Memory Computing Share (%), by Country
  • Figure 8. Asia Pacific In Memory Computing Share (%), by Country
  • Figure 9. Europe In Memory Computing Share (%), by Country
  • Figure 10. MEA In Memory Computing Share (%), by Country
  • Figure 11. North America In Memory Computing Share (%), by Country
  • Figure 12. Global In Memory Computing share by Players 2018 (%)
  • Figure 13. Global In Memory Computing share by Players (Top 3) 2018(%)
  • Figure 14. Global In Memory Computing share by Players (Top 5) 2018(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 17. IBM (United States) Revenue: by Geography 2018
  • Figure 18. SAP SE (Germany) Revenue, Net Income and Gross profit
  • Figure 19. SAP SE (Germany) Revenue: by Geography 2018
  • Figure 20. Oracle (United States) Revenue, Net Income and Gross profit
  • Figure 21. Oracle (United States) Revenue: by Geography 2018
  • Figure 22. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 23. Microsoft (United States) Revenue: by Geography 2018
  • Figure 24. Altibase (United States) Revenue, Net Income and Gross profit
  • Figure 25. Altibase (United States) Revenue: by Geography 2018
  • Figure 26. ScaleOut Software (United States) Revenue, Net Income and Gross profit
  • Figure 27. ScaleOut Software (United States) Revenue: by Geography 2018
  • Figure 28. HCL Technologies Limited (India) Revenue, Net Income and Gross profit
  • Figure 29. HCL Technologies Limited (India) Revenue: by Geography 2018
  • Figure 30. GridGain (United States) Revenue, Net Income and Gross profit
  • Figure 31. GridGain (United States) Revenue: by Geography 2018
  • Figure 32. Software AG (Germany) Revenue, Net Income and Gross profit
  • Figure 33. Software AG (Germany) Revenue: by Geography 2018
  • Figure 34. Exasol (Germany) Revenue, Net Income and Gross profit
  • Figure 35. Exasol (Germany) Revenue: by Geography 2018
  • Figure 36. Global In Memory Computing: by End Users USD Million (2019-2024)
  • Figure 37. Global In Memory Computing: by Solutions USD Million (2019-2024)
  • Figure 38. Global In Memory Computing: by Component USD Million (2019-2024)
  • Figure 39. South America In Memory Computing Share (%), by Country
  • Figure 40. Asia Pacific In Memory Computing Share (%), by Country
  • Figure 41. Europe In Memory Computing Share (%), by Country
  • Figure 42. MEA In Memory Computing Share (%), by Country
  • Figure 43. North America In Memory Computing Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • IBM (United States)
  • SAP SE (Germany)
  • Oracle (United States)
  • Microsoft (United States)
  • Altibase (United States)
  • ScaleOut Software (United States)
  • HCL Technologies Limited (India)
  • GridGain (United States)
  • Software AG (Germany)
  • Exasol (Germany)
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