Global Storage in Big Data
Global Storage in Big Data

Storage in Big Data Comprehensive Study by Type (Hardware, Software, Service), Application (BFSI, IT and Telecommunications, Transportation, Logistics and Retail, Healthcare and Medical, Media and Entertainment, Others) Players and Region - Global Market Outlook to 2025

Storage in Big Data Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025  

Dec 2020 Edition 243 Pages 182 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Global Storage in Big Data Market Overview:
Growing preference toward the digitalization of data records among companies from all worldwide locations is one of the key factors stimulating the growth of the market for storage in big data. The market holds remarkable demand avenues from diverse industries such as healthcare, BFSI, IT and telecommunication, transportation, manufacturing, media and entertainment, and others. This situation shows that the vendors working in the global storage in big data market will witness remarkable expansion opportunities in the upcoming years.

Growth Drivers
  • Growing preference toward the digitalization of data records among companies
  • increasing adoption of software-based storage options


Roadblocks
  • High Total cost of ownership of flash storage.

Opportunities
  • Increasingly adopting various data storage options
  • Increasing digital data volumes

Challenges
  • Reduced Budgets for Data Storage


Competitive Landscape:
The global storage in big data market holds the presence of various international players. This scenario makes the competitive landscape of the market for storage in big data extremely intense. To sustain in this competition, new entrants in this are growing their efforts to offer superior quality services at cost-effective rates. Many players in the storage in big data market are growing investments in research and development activities.
Some of the key players profiled in the report are Amazon Web Services (United States), Google Inc. (United States), International Business Machines Corporation (United States), Microsoft Corporation (United States), Oracle Corporation (United States), Dell EMC (United States), Hitachi Data Systems Corporation (United States), VMware, Inc. (United States), Hewlett Packard Enterprise (United States) and Teradata Corporation (United States). Analyst at AMA Research see United States Players to retain maximum share of Global Storage in Big Data market by 2025.

Available Customization:
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 provided prior to purchase

Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Storage in Big Data market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Storage in Big Data market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Healthcare Organizations, Cloud service providers, Investors and consultants, System Integrators, Government Organizations, Research/Consultancy firms, Technology solution providers and Bank & financial agencies.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.
Report Objectives / Segmentation Covered
By Type
  • Hardware
  • Software
  • Service
By Application
  • BFSI
  • IT and Telecommunications
  • Transportation
  • Logistics and Retail
  • Healthcare and Medical
  • Media and Entertainment
  • Others
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. Growing preference toward the digitalization of data records among companies
      • 3.2.2. Increasing adoption of software-based storage options
    • 3.3. Market Challenges
      • 3.3.1. Reduced Budgets for Data Storage
  • 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 Storage in Big Data, by Type, Application and Region (value) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global Storage in Big Data (Value)
      • 5.2.1. Global Storage in Big Data by: Type (Value)
        • 5.2.1.1. Hardware
        • 5.2.1.2. Software
        • 5.2.1.3. Service
      • 5.2.2. Global Storage in Big Data by: Application (Value)
        • 5.2.2.1. BFSI
        • 5.2.2.2. IT and Telecommunications
        • 5.2.2.3. Transportation
        • 5.2.2.4. Logistics and Retail
        • 5.2.2.5. Healthcare and Medical
        • 5.2.2.6. Media and Entertainment
        • 5.2.2.7. Others
      • 5.2.3. Global Storage in Big Data Region
        • 5.2.3.1. South America
          • 5.2.3.1.1. Brazil
          • 5.2.3.1.2. Argentina
          • 5.2.3.1.3. Rest of South America
        • 5.2.3.2. Asia Pacific
          • 5.2.3.2.1. China
          • 5.2.3.2.2. Japan
          • 5.2.3.2.3. India
          • 5.2.3.2.4. South Korea
          • 5.2.3.2.5. Taiwan
          • 5.2.3.2.6. Australia
          • 5.2.3.2.7. Rest of Asia-Pacific
        • 5.2.3.3. Europe
          • 5.2.3.3.1. Germany
          • 5.2.3.3.2. France
          • 5.2.3.3.3. Italy
          • 5.2.3.3.4. United Kingdom
          • 5.2.3.3.5. Netherlands
          • 5.2.3.3.6. Rest of Europe
        • 5.2.3.4. MEA
          • 5.2.3.4.1. Middle East
          • 5.2.3.4.2. Africa
        • 5.2.3.5. North America
          • 5.2.3.5.1. United States
          • 5.2.3.5.2. Canada
          • 5.2.3.5.3. Mexico
  • 6. Storage in Big Data: 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 (2019)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Amazon Web Services (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. Google Inc. (United States)
        • 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. International Business Machines Corporation (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 Corporation (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. Oracle Corporation (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. Dell EMC (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. Hitachi Data Systems Corporation (United States)
        • 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. VMware, Inc. (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. Hewlett Packard Enterprise (United States)
        • 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. Teradata Corporation (United States)
        • 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 Storage in Big Data Sale, by Type, Application and Region (value) (2020-2025)
    • 7.1. Introduction
    • 7.2. Global Storage in Big Data (Value)
      • 7.2.1. Global Storage in Big Data by: Type (Value)
        • 7.2.1.1. Hardware
        • 7.2.1.2. Software
        • 7.2.1.3. Service
      • 7.2.2. Global Storage in Big Data by: Application (Value)
        • 7.2.2.1. BFSI
        • 7.2.2.2. IT and Telecommunications
        • 7.2.2.3. Transportation
        • 7.2.2.4. Logistics and Retail
        • 7.2.2.5. Healthcare and Medical
        • 7.2.2.6. Media and Entertainment
        • 7.2.2.7. Others
      • 7.2.3. Global Storage in Big Data Region
        • 7.2.3.1. South America
          • 7.2.3.1.1. Brazil
          • 7.2.3.1.2. Argentina
          • 7.2.3.1.3. Rest of South America
        • 7.2.3.2. Asia Pacific
          • 7.2.3.2.1. China
          • 7.2.3.2.2. Japan
          • 7.2.3.2.3. India
          • 7.2.3.2.4. South Korea
          • 7.2.3.2.5. Taiwan
          • 7.2.3.2.6. Australia
          • 7.2.3.2.7. Rest of Asia-Pacific
        • 7.2.3.3. Europe
          • 7.2.3.3.1. Germany
          • 7.2.3.3.2. France
          • 7.2.3.3.3. Italy
          • 7.2.3.3.4. United Kingdom
          • 7.2.3.3.5. Netherlands
          • 7.2.3.3.6. Rest of Europe
        • 7.2.3.4. MEA
          • 7.2.3.4.1. Middle East
          • 7.2.3.4.2. Africa
        • 7.2.3.5. North America
          • 7.2.3.5.1. United States
          • 7.2.3.5.2. Canada
          • 7.2.3.5.3. 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. Storage in Big Data: by Type(USD Million)
  • Table 2. Storage in Big Data Hardware , by Region USD Million (2014-2019)
  • Table 3. Storage in Big Data Software , by Region USD Million (2014-2019)
  • Table 4. Storage in Big Data Service , by Region USD Million (2014-2019)
  • Table 5. Storage in Big Data: by Application(USD Million)
  • Table 6. Storage in Big Data BFSI , by Region USD Million (2014-2019)
  • Table 7. Storage in Big Data IT and Telecommunications , by Region USD Million (2014-2019)
  • Table 8. Storage in Big Data Transportation , by Region USD Million (2014-2019)
  • Table 9. Storage in Big Data Logistics and Retail , by Region USD Million (2014-2019)
  • Table 10. Storage in Big Data Healthcare and Medical , by Region USD Million (2014-2019)
  • Table 11. Storage in Big Data Media and Entertainment , by Region USD Million (2014-2019)
  • Table 12. Storage in Big Data Others , by Region USD Million (2014-2019)
  • Table 13. South America Storage in Big Data, by Country USD Million (2014-2019)
  • Table 14. South America Storage in Big Data, by Type USD Million (2014-2019)
  • Table 15. South America Storage in Big Data, by Application USD Million (2014-2019)
  • Table 16. Brazil Storage in Big Data, by Type USD Million (2014-2019)
  • Table 17. Brazil Storage in Big Data, by Application USD Million (2014-2019)
  • Table 18. Argentina Storage in Big Data, by Type USD Million (2014-2019)
  • Table 19. Argentina Storage in Big Data, by Application USD Million (2014-2019)
  • Table 20. Rest of South America Storage in Big Data, by Type USD Million (2014-2019)
  • Table 21. Rest of South America Storage in Big Data, by Application USD Million (2014-2019)
  • Table 22. Asia Pacific Storage in Big Data, by Country USD Million (2014-2019)
  • Table 23. Asia Pacific Storage in Big Data, by Type USD Million (2014-2019)
  • Table 24. Asia Pacific Storage in Big Data, by Application USD Million (2014-2019)
  • Table 25. China Storage in Big Data, by Type USD Million (2014-2019)
  • Table 26. China Storage in Big Data, by Application USD Million (2014-2019)
  • Table 27. Japan Storage in Big Data, by Type USD Million (2014-2019)
  • Table 28. Japan Storage in Big Data, by Application USD Million (2014-2019)
  • Table 29. India Storage in Big Data, by Type USD Million (2014-2019)
  • Table 30. India Storage in Big Data, by Application USD Million (2014-2019)
  • Table 31. South Korea Storage in Big Data, by Type USD Million (2014-2019)
  • Table 32. South Korea Storage in Big Data, by Application USD Million (2014-2019)
  • Table 33. Taiwan Storage in Big Data, by Type USD Million (2014-2019)
  • Table 34. Taiwan Storage in Big Data, by Application USD Million (2014-2019)
  • Table 35. Australia Storage in Big Data, by Type USD Million (2014-2019)
  • Table 36. Australia Storage in Big Data, by Application USD Million (2014-2019)
  • Table 37. Rest of Asia-Pacific Storage in Big Data, by Type USD Million (2014-2019)
  • Table 38. Rest of Asia-Pacific Storage in Big Data, by Application USD Million (2014-2019)
  • Table 39. Europe Storage in Big Data, by Country USD Million (2014-2019)
  • Table 40. Europe Storage in Big Data, by Type USD Million (2014-2019)
  • Table 41. Europe Storage in Big Data, by Application USD Million (2014-2019)
  • Table 42. Germany Storage in Big Data, by Type USD Million (2014-2019)
  • Table 43. Germany Storage in Big Data, by Application USD Million (2014-2019)
  • Table 44. France Storage in Big Data, by Type USD Million (2014-2019)
  • Table 45. France Storage in Big Data, by Application USD Million (2014-2019)
  • Table 46. Italy Storage in Big Data, by Type USD Million (2014-2019)
  • Table 47. Italy Storage in Big Data, by Application USD Million (2014-2019)
  • Table 48. United Kingdom Storage in Big Data, by Type USD Million (2014-2019)
  • Table 49. United Kingdom Storage in Big Data, by Application USD Million (2014-2019)
  • Table 50. Netherlands Storage in Big Data, by Type USD Million (2014-2019)
  • Table 51. Netherlands Storage in Big Data, by Application USD Million (2014-2019)
  • Table 52. Rest of Europe Storage in Big Data, by Type USD Million (2014-2019)
  • Table 53. Rest of Europe Storage in Big Data, by Application USD Million (2014-2019)
  • Table 54. MEA Storage in Big Data, by Country USD Million (2014-2019)
  • Table 55. MEA Storage in Big Data, by Type USD Million (2014-2019)
  • Table 56. MEA Storage in Big Data, by Application USD Million (2014-2019)
  • Table 57. Middle East Storage in Big Data, by Type USD Million (2014-2019)
  • Table 58. Middle East Storage in Big Data, by Application USD Million (2014-2019)
  • Table 59. Africa Storage in Big Data, by Type USD Million (2014-2019)
  • Table 60. Africa Storage in Big Data, by Application USD Million (2014-2019)
  • Table 61. North America Storage in Big Data, by Country USD Million (2014-2019)
  • Table 62. North America Storage in Big Data, by Type USD Million (2014-2019)
  • Table 63. North America Storage in Big Data, by Application USD Million (2014-2019)
  • Table 64. United States Storage in Big Data, by Type USD Million (2014-2019)
  • Table 65. United States Storage in Big Data, by Application USD Million (2014-2019)
  • Table 66. Canada Storage in Big Data, by Type USD Million (2014-2019)
  • Table 67. Canada Storage in Big Data, by Application USD Million (2014-2019)
  • Table 68. Mexico Storage in Big Data, by Type USD Million (2014-2019)
  • Table 69. Mexico Storage in Big Data, by Application USD Million (2014-2019)
  • Table 70. Company Basic Information, Sales Area and Its Competitors
  • Table 71. Company Basic Information, Sales Area and Its Competitors
  • Table 72. Company Basic Information, Sales Area and Its Competitors
  • Table 73. Company Basic Information, Sales Area and Its Competitors
  • Table 74. Company Basic Information, Sales Area and Its Competitors
  • Table 75. Company Basic Information, Sales Area and Its Competitors
  • Table 76. Company Basic Information, Sales Area and Its Competitors
  • Table 77. Company Basic Information, Sales Area and Its Competitors
  • Table 78. Company Basic Information, Sales Area and Its Competitors
  • Table 79. Company Basic Information, Sales Area and Its Competitors
  • Table 80. Storage in Big Data: by Type(USD Million)
  • Table 81. Storage in Big Data Hardware , by Region USD Million (2020-2025)
  • Table 82. Storage in Big Data Software , by Region USD Million (2020-2025)
  • Table 83. Storage in Big Data Service , by Region USD Million (2020-2025)
  • Table 84. Storage in Big Data: by Application(USD Million)
  • Table 85. Storage in Big Data BFSI , by Region USD Million (2020-2025)
  • Table 86. Storage in Big Data IT and Telecommunications , by Region USD Million (2020-2025)
  • Table 87. Storage in Big Data Transportation , by Region USD Million (2020-2025)
  • Table 88. Storage in Big Data Logistics and Retail , by Region USD Million (2020-2025)
  • Table 89. Storage in Big Data Healthcare and Medical , by Region USD Million (2020-2025)
  • Table 90. Storage in Big Data Media and Entertainment , by Region USD Million (2020-2025)
  • Table 91. Storage in Big Data Others , by Region USD Million (2020-2025)
  • Table 92. South America Storage in Big Data, by Country USD Million (2020-2025)
  • Table 93. South America Storage in Big Data, by Type USD Million (2020-2025)
  • Table 94. South America Storage in Big Data, by Application USD Million (2020-2025)
  • Table 95. Brazil Storage in Big Data, by Type USD Million (2020-2025)
  • Table 96. Brazil Storage in Big Data, by Application USD Million (2020-2025)
  • Table 97. Argentina Storage in Big Data, by Type USD Million (2020-2025)
  • Table 98. Argentina Storage in Big Data, by Application USD Million (2020-2025)
  • Table 99. Rest of South America Storage in Big Data, by Type USD Million (2020-2025)
  • Table 100. Rest of South America Storage in Big Data, by Application USD Million (2020-2025)
  • Table 101. Asia Pacific Storage in Big Data, by Country USD Million (2020-2025)
  • Table 102. Asia Pacific Storage in Big Data, by Type USD Million (2020-2025)
  • Table 103. Asia Pacific Storage in Big Data, by Application USD Million (2020-2025)
  • Table 104. China Storage in Big Data, by Type USD Million (2020-2025)
  • Table 105. China Storage in Big Data, by Application USD Million (2020-2025)
  • Table 106. Japan Storage in Big Data, by Type USD Million (2020-2025)
  • Table 107. Japan Storage in Big Data, by Application USD Million (2020-2025)
  • Table 108. India Storage in Big Data, by Type USD Million (2020-2025)
  • Table 109. India Storage in Big Data, by Application USD Million (2020-2025)
  • Table 110. South Korea Storage in Big Data, by Type USD Million (2020-2025)
  • Table 111. South Korea Storage in Big Data, by Application USD Million (2020-2025)
  • Table 112. Taiwan Storage in Big Data, by Type USD Million (2020-2025)
  • Table 113. Taiwan Storage in Big Data, by Application USD Million (2020-2025)
  • Table 114. Australia Storage in Big Data, by Type USD Million (2020-2025)
  • Table 115. Australia Storage in Big Data, by Application USD Million (2020-2025)
  • Table 116. Rest of Asia-Pacific Storage in Big Data, by Type USD Million (2020-2025)
  • Table 117. Rest of Asia-Pacific Storage in Big Data, by Application USD Million (2020-2025)
  • Table 118. Europe Storage in Big Data, by Country USD Million (2020-2025)
  • Table 119. Europe Storage in Big Data, by Type USD Million (2020-2025)
  • Table 120. Europe Storage in Big Data, by Application USD Million (2020-2025)
  • Table 121. Germany Storage in Big Data, by Type USD Million (2020-2025)
  • Table 122. Germany Storage in Big Data, by Application USD Million (2020-2025)
  • Table 123. France Storage in Big Data, by Type USD Million (2020-2025)
  • Table 124. France Storage in Big Data, by Application USD Million (2020-2025)
  • Table 125. Italy Storage in Big Data, by Type USD Million (2020-2025)
  • Table 126. Italy Storage in Big Data, by Application USD Million (2020-2025)
  • Table 127. United Kingdom Storage in Big Data, by Type USD Million (2020-2025)
  • Table 128. United Kingdom Storage in Big Data, by Application USD Million (2020-2025)
  • Table 129. Netherlands Storage in Big Data, by Type USD Million (2020-2025)
  • Table 130. Netherlands Storage in Big Data, by Application USD Million (2020-2025)
  • Table 131. Rest of Europe Storage in Big Data, by Type USD Million (2020-2025)
  • Table 132. Rest of Europe Storage in Big Data, by Application USD Million (2020-2025)
  • Table 133. MEA Storage in Big Data, by Country USD Million (2020-2025)
  • Table 134. MEA Storage in Big Data, by Type USD Million (2020-2025)
  • Table 135. MEA Storage in Big Data, by Application USD Million (2020-2025)
  • Table 136. Middle East Storage in Big Data, by Type USD Million (2020-2025)
  • Table 137. Middle East Storage in Big Data, by Application USD Million (2020-2025)
  • Table 138. Africa Storage in Big Data, by Type USD Million (2020-2025)
  • Table 139. Africa Storage in Big Data, by Application USD Million (2020-2025)
  • Table 140. North America Storage in Big Data, by Country USD Million (2020-2025)
  • Table 141. North America Storage in Big Data, by Type USD Million (2020-2025)
  • Table 142. North America Storage in Big Data, by Application USD Million (2020-2025)
  • Table 143. United States Storage in Big Data, by Type USD Million (2020-2025)
  • Table 144. United States Storage in Big Data, by Application USD Million (2020-2025)
  • Table 145. Canada Storage in Big Data, by Type USD Million (2020-2025)
  • Table 146. Canada Storage in Big Data, by Application USD Million (2020-2025)
  • Table 147. Mexico Storage in Big Data, by Type USD Million (2020-2025)
  • Table 148. Mexico Storage in Big Data, by Application USD Million (2020-2025)
  • Table 149. Research Programs/Design for This Report
  • Table 150. Key Data Information from Secondary Sources
  • Table 151. 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 Storage in Big Data: by Type USD Million (2014-2019)
  • Figure 5. Global Storage in Big Data: by Application USD Million (2014-2019)
  • Figure 6. South America Storage in Big Data Share (%), by Country
  • Figure 7. Asia Pacific Storage in Big Data Share (%), by Country
  • Figure 8. Europe Storage in Big Data Share (%), by Country
  • Figure 9. MEA Storage in Big Data Share (%), by Country
  • Figure 10. North America Storage in Big Data Share (%), by Country
  • Figure 11. Global Storage in Big Data share by Players 2019 (%)
  • Figure 12. Global Storage in Big Data share by Players (Top 3) 2019(%)
  • Figure 13. Global Storage in Big Data share by Players (Top 5) 2019(%)
  • Figure 14. BCG Matrix for key Companies
  • Figure 15. Amazon Web Services (United States) Revenue, Net Income and Gross profit
  • Figure 16. Amazon Web Services (United States) Revenue: by Geography 2019
  • Figure 17. Google Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 18. Google Inc. (United States) Revenue: by Geography 2019
  • Figure 19. International Business Machines Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 20. International Business Machines Corporation (United States) Revenue: by Geography 2019
  • Figure 21. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 22. Microsoft Corporation (United States) Revenue: by Geography 2019
  • Figure 23. Oracle Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 24. Oracle Corporation (United States) Revenue: by Geography 2019
  • Figure 25. Dell EMC (United States) Revenue, Net Income and Gross profit
  • Figure 26. Dell EMC (United States) Revenue: by Geography 2019
  • Figure 27. Hitachi Data Systems Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 28. Hitachi Data Systems Corporation (United States) Revenue: by Geography 2019
  • Figure 29. VMware, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 30. VMware, Inc. (United States) Revenue: by Geography 2019
  • Figure 31. Hewlett Packard Enterprise (United States) Revenue, Net Income and Gross profit
  • Figure 32. Hewlett Packard Enterprise (United States) Revenue: by Geography 2019
  • Figure 33. Teradata Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 34. Teradata Corporation (United States) Revenue: by Geography 2019
  • Figure 35. Global Storage in Big Data: by Type USD Million (2020-2025)
  • Figure 36. Global Storage in Big Data: by Application USD Million (2020-2025)
  • Figure 37. South America Storage in Big Data Share (%), by Country
  • Figure 38. Asia Pacific Storage in Big Data Share (%), by Country
  • Figure 39. Europe Storage in Big Data Share (%), by Country
  • Figure 40. MEA Storage in Big Data Share (%), by Country
  • Figure 41. North America Storage in Big Data Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Amazon Web Services (United States)
  • Google Inc. (United States)
  • International Business Machines Corporation (United States)
  • Microsoft Corporation (United States)
  • Oracle Corporation (United States)
  • Dell EMC (United States)
  • Hitachi Data Systems Corporation (United States)
  • VMware, Inc. (United States)
  • Hewlett Packard Enterprise (United States)
  • Teradata Corporation (United States)
Select License Type
Sample Report Enquiry Before Buy Request Discount

Speak with Analyst

Want to find out more about this report?

Get Free Consultation