Global Erasure Coding Market

Erasure Coding Comprehensive Study by Application (BFSI, Retail, Government, Healthcare, IT & Telecom, Media & Entertainment, Manufacturing, Energy & Utility, Others), Enterprise (Small & Medium Enterprises, Large Enterprises;) Players and Region - Global Market Outlook to 2026

Erasure Coding Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Erasure Coding Market Scope
In the current day and age, data security, management, and storage have become an imperative part of organizations operating in an array of industrial domains. At present, within the data resilience sphere, conventional SAN storage that operates using Redundant Array of Independent Disks (RAID) is gradually losing its sheen, owing to evolving data requirements. Although mirroring, parity and striping in RAID implementation offer a high degree of protection, some of the restraints including, high recovery timings, the steep cost of resiliency, and vulnerability associated with RAID recovery have played a major role in the development of alternatives such as erasure coding, that is predominantly different in comparison with other hardware-based systems.

The Erasure Coding market study is segmented, by Application (BFSI, Retail, Government, Healthcare, IT & Telecom, Media & Entertainment, Manufacturing, Energy & Utility and Others) and major geographies with country level break-up.

The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies.

Hewlett Packard Enterprise Company, Teradata Corporation, Pure Storage, Inc., Pivot3, Oracle Corporation, Nutanix, Inc., NetApp, Inc, Nephos Technologies, Lenovo, Huawei Technologies Co., Ltd., Hitachi Ltd., Fujitsu Limited, and Alphabet Inc. are some of the key players that are part of study coverage.

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.

Segmentation Overview
AMA Research has segmented the market of Global Erasure Coding market by Type, Application and Region.

On the basis of geography, the market of Erasure Coding 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).




Market Trend
  • Advent of erasure coding to positively influence hadoop storage economics

Market Drivers
  • Enhanced protection erasure coding offers during the recovery is another major factor that is expected to boost the prospects of the erasure coding market

Opportunities
  • Technological advancements and evolving data requirements are set to play an important role in boosting the prospects of the erasure coding

Restraints
  • Increased number of storage nodes and sites required


Key Target Audience
New Entrants and Investors, Venture Capitalists, Government Bodies, Corporate Entities, Government and Private Research Organizations and Others

Report Objectives / Segmentation Covered

By Application
  • BFSI
  • Retail
  • Government
  • Healthcare
  • IT & Telecom
  • Media & Entertainment
  • Manufacturing
  • Energy & Utility
  • Others
By Enterprise
  • Small & Medium Enterprises
  • Large Enterprises;

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. Enhanced protection erasure coding offers during the recovery is another major factor that is expected to boost the prospects of the erasure coding market
    • 3.3. Market Trends
      • 3.3.1. Advent of erasure coding to positively influence hadoop storage economics
  • 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 Erasure Coding, by Application, Enterprise and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Erasure Coding (Value)
      • 5.2.1. Global Erasure Coding by: Application (Value)
        • 5.2.1.1. BFSI
        • 5.2.1.2. Retail
        • 5.2.1.3. Government
        • 5.2.1.4. Healthcare
        • 5.2.1.5. IT & Telecom
        • 5.2.1.6. Media & Entertainment
        • 5.2.1.7. Manufacturing
        • 5.2.1.8. Energy & Utility
        • 5.2.1.9. Others
      • 5.2.2. Global Erasure Coding by: Enterprise (Value)
        • 5.2.2.1. Small & Medium Enterprises
        • 5.2.2.2. Large Enterprises;
      • 5.2.3. Global Erasure Coding 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. Erasure Coding: 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 (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Hewlett Packard Enterprise Company
        • 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. Teradata Corporation
        • 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. Pure Storage, Inc.
        • 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. Pivot3
        • 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
        • 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. Nutanix, Inc.
        • 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. NetApp, Inc
        • 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. Nephos Technologies
        • 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. Lenovo
        • 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. Huawei Technologies Co., Ltd.
        • 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
      • 6.4.11. Hitachi Ltd.
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. Fujitsu Limited,
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. Alphabet Inc.
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
  • 7. Global Erasure Coding Sale, by Application, Enterprise and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Erasure Coding (Value)
      • 7.2.1. Global Erasure Coding by: Application (Value)
        • 7.2.1.1. BFSI
        • 7.2.1.2. Retail
        • 7.2.1.3. Government
        • 7.2.1.4. Healthcare
        • 7.2.1.5. IT & Telecom
        • 7.2.1.6. Media & Entertainment
        • 7.2.1.7. Manufacturing
        • 7.2.1.8. Energy & Utility
        • 7.2.1.9. Others
      • 7.2.2. Global Erasure Coding by: Enterprise (Value)
        • 7.2.2.1. Small & Medium Enterprises
        • 7.2.2.2. Large Enterprises;
      • 7.2.3. Global Erasure Coding 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. Erasure Coding: by Application(USD Million)
  • Table 2. Erasure Coding BFSI , by Region USD Million (2015-2020)
  • Table 3. Erasure Coding Retail , by Region USD Million (2015-2020)
  • Table 4. Erasure Coding Government , by Region USD Million (2015-2020)
  • Table 5. Erasure Coding Healthcare , by Region USD Million (2015-2020)
  • Table 6. Erasure Coding IT & Telecom , by Region USD Million (2015-2020)
  • Table 7. Erasure Coding Media & Entertainment , by Region USD Million (2015-2020)
  • Table 8. Erasure Coding Manufacturing , by Region USD Million (2015-2020)
  • Table 9. Erasure Coding Energy & Utility , by Region USD Million (2015-2020)
  • Table 10. Erasure Coding Others , by Region USD Million (2015-2020)
  • Table 11. Erasure Coding: by Enterprise(USD Million)
  • Table 12. Erasure Coding Small & Medium Enterprises , by Region USD Million (2015-2020)
  • Table 13. Erasure Coding Large Enterprises; , by Region USD Million (2015-2020)
  • Table 14. South America Erasure Coding, by Country USD Million (2015-2020)
  • Table 15. South America Erasure Coding, by Application USD Million (2015-2020)
  • Table 16. South America Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 17. Brazil Erasure Coding, by Application USD Million (2015-2020)
  • Table 18. Brazil Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 19. Argentina Erasure Coding, by Application USD Million (2015-2020)
  • Table 20. Argentina Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 21. Rest of South America Erasure Coding, by Application USD Million (2015-2020)
  • Table 22. Rest of South America Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 23. Asia Pacific Erasure Coding, by Country USD Million (2015-2020)
  • Table 24. Asia Pacific Erasure Coding, by Application USD Million (2015-2020)
  • Table 25. Asia Pacific Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 26. China Erasure Coding, by Application USD Million (2015-2020)
  • Table 27. China Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 28. Japan Erasure Coding, by Application USD Million (2015-2020)
  • Table 29. Japan Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 30. India Erasure Coding, by Application USD Million (2015-2020)
  • Table 31. India Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 32. South Korea Erasure Coding, by Application USD Million (2015-2020)
  • Table 33. South Korea Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 34. Taiwan Erasure Coding, by Application USD Million (2015-2020)
  • Table 35. Taiwan Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 36. Australia Erasure Coding, by Application USD Million (2015-2020)
  • Table 37. Australia Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 38. Rest of Asia-Pacific Erasure Coding, by Application USD Million (2015-2020)
  • Table 39. Rest of Asia-Pacific Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 40. Europe Erasure Coding, by Country USD Million (2015-2020)
  • Table 41. Europe Erasure Coding, by Application USD Million (2015-2020)
  • Table 42. Europe Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 43. Germany Erasure Coding, by Application USD Million (2015-2020)
  • Table 44. Germany Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 45. France Erasure Coding, by Application USD Million (2015-2020)
  • Table 46. France Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 47. Italy Erasure Coding, by Application USD Million (2015-2020)
  • Table 48. Italy Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 49. United Kingdom Erasure Coding, by Application USD Million (2015-2020)
  • Table 50. United Kingdom Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 51. Netherlands Erasure Coding, by Application USD Million (2015-2020)
  • Table 52. Netherlands Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 53. Rest of Europe Erasure Coding, by Application USD Million (2015-2020)
  • Table 54. Rest of Europe Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 55. MEA Erasure Coding, by Country USD Million (2015-2020)
  • Table 56. MEA Erasure Coding, by Application USD Million (2015-2020)
  • Table 57. MEA Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 58. Middle East Erasure Coding, by Application USD Million (2015-2020)
  • Table 59. Middle East Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 60. Africa Erasure Coding, by Application USD Million (2015-2020)
  • Table 61. Africa Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 62. North America Erasure Coding, by Country USD Million (2015-2020)
  • Table 63. North America Erasure Coding, by Application USD Million (2015-2020)
  • Table 64. North America Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 65. United States Erasure Coding, by Application USD Million (2015-2020)
  • Table 66. United States Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 67. Canada Erasure Coding, by Application USD Million (2015-2020)
  • Table 68. Canada Erasure Coding, by Enterprise USD Million (2015-2020)
  • Table 69. Mexico Erasure Coding, by Application USD Million (2015-2020)
  • Table 70. Mexico Erasure Coding, by Enterprise USD Million (2015-2020)
  • 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. Company Basic Information, Sales Area and Its Competitors
  • Table 81. Company Basic Information, Sales Area and Its Competitors
  • Table 82. Company Basic Information, Sales Area and Its Competitors
  • Table 83. Company Basic Information, Sales Area and Its Competitors
  • Table 84. Erasure Coding: by Application(USD Million)
  • Table 85. Erasure Coding BFSI , by Region USD Million (2021-2026)
  • Table 86. Erasure Coding Retail , by Region USD Million (2021-2026)
  • Table 87. Erasure Coding Government , by Region USD Million (2021-2026)
  • Table 88. Erasure Coding Healthcare , by Region USD Million (2021-2026)
  • Table 89. Erasure Coding IT & Telecom , by Region USD Million (2021-2026)
  • Table 90. Erasure Coding Media & Entertainment , by Region USD Million (2021-2026)
  • Table 91. Erasure Coding Manufacturing , by Region USD Million (2021-2026)
  • Table 92. Erasure Coding Energy & Utility , by Region USD Million (2021-2026)
  • Table 93. Erasure Coding Others , by Region USD Million (2021-2026)
  • Table 94. Erasure Coding: by Enterprise(USD Million)
  • Table 95. Erasure Coding Small & Medium Enterprises , by Region USD Million (2021-2026)
  • Table 96. Erasure Coding Large Enterprises; , by Region USD Million (2021-2026)
  • Table 97. South America Erasure Coding, by Country USD Million (2021-2026)
  • Table 98. South America Erasure Coding, by Application USD Million (2021-2026)
  • Table 99. South America Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 100. Brazil Erasure Coding, by Application USD Million (2021-2026)
  • Table 101. Brazil Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 102. Argentina Erasure Coding, by Application USD Million (2021-2026)
  • Table 103. Argentina Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 104. Rest of South America Erasure Coding, by Application USD Million (2021-2026)
  • Table 105. Rest of South America Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 106. Asia Pacific Erasure Coding, by Country USD Million (2021-2026)
  • Table 107. Asia Pacific Erasure Coding, by Application USD Million (2021-2026)
  • Table 108. Asia Pacific Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 109. China Erasure Coding, by Application USD Million (2021-2026)
  • Table 110. China Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 111. Japan Erasure Coding, by Application USD Million (2021-2026)
  • Table 112. Japan Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 113. India Erasure Coding, by Application USD Million (2021-2026)
  • Table 114. India Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 115. South Korea Erasure Coding, by Application USD Million (2021-2026)
  • Table 116. South Korea Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 117. Taiwan Erasure Coding, by Application USD Million (2021-2026)
  • Table 118. Taiwan Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 119. Australia Erasure Coding, by Application USD Million (2021-2026)
  • Table 120. Australia Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 121. Rest of Asia-Pacific Erasure Coding, by Application USD Million (2021-2026)
  • Table 122. Rest of Asia-Pacific Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 123. Europe Erasure Coding, by Country USD Million (2021-2026)
  • Table 124. Europe Erasure Coding, by Application USD Million (2021-2026)
  • Table 125. Europe Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 126. Germany Erasure Coding, by Application USD Million (2021-2026)
  • Table 127. Germany Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 128. France Erasure Coding, by Application USD Million (2021-2026)
  • Table 129. France Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 130. Italy Erasure Coding, by Application USD Million (2021-2026)
  • Table 131. Italy Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 132. United Kingdom Erasure Coding, by Application USD Million (2021-2026)
  • Table 133. United Kingdom Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 134. Netherlands Erasure Coding, by Application USD Million (2021-2026)
  • Table 135. Netherlands Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 136. Rest of Europe Erasure Coding, by Application USD Million (2021-2026)
  • Table 137. Rest of Europe Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 138. MEA Erasure Coding, by Country USD Million (2021-2026)
  • Table 139. MEA Erasure Coding, by Application USD Million (2021-2026)
  • Table 140. MEA Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 141. Middle East Erasure Coding, by Application USD Million (2021-2026)
  • Table 142. Middle East Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 143. Africa Erasure Coding, by Application USD Million (2021-2026)
  • Table 144. Africa Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 145. North America Erasure Coding, by Country USD Million (2021-2026)
  • Table 146. North America Erasure Coding, by Application USD Million (2021-2026)
  • Table 147. North America Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 148. United States Erasure Coding, by Application USD Million (2021-2026)
  • Table 149. United States Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 150. Canada Erasure Coding, by Application USD Million (2021-2026)
  • Table 151. Canada Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 152. Mexico Erasure Coding, by Application USD Million (2021-2026)
  • Table 153. Mexico Erasure Coding, by Enterprise USD Million (2021-2026)
  • Table 154. Research Programs/Design for This Report
  • Table 155. Key Data Information from Secondary Sources
  • Table 156. 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 Erasure Coding: by Application USD Million (2015-2020)
  • Figure 5. Global Erasure Coding: by Enterprise USD Million (2015-2020)
  • Figure 6. South America Erasure Coding Share (%), by Country
  • Figure 7. Asia Pacific Erasure Coding Share (%), by Country
  • Figure 8. Europe Erasure Coding Share (%), by Country
  • Figure 9. MEA Erasure Coding Share (%), by Country
  • Figure 10. North America Erasure Coding Share (%), by Country
  • Figure 11. Global Erasure Coding share by Players 2020 (%)
  • Figure 12. Global Erasure Coding share by Players (Top 3) 2020(%)
  • Figure 13. Global Erasure Coding share by Players (Top 5) 2020(%)
  • Figure 14. BCG Matrix for key Companies
  • Figure 15. Hewlett Packard Enterprise Company Revenue, Net Income and Gross profit
  • Figure 16. Hewlett Packard Enterprise Company Revenue: by Geography 2020
  • Figure 17. Teradata Corporation Revenue, Net Income and Gross profit
  • Figure 18. Teradata Corporation Revenue: by Geography 2020
  • Figure 19. Pure Storage, Inc. Revenue, Net Income and Gross profit
  • Figure 20. Pure Storage, Inc. Revenue: by Geography 2020
  • Figure 21. Pivot3 Revenue, Net Income and Gross profit
  • Figure 22. Pivot3 Revenue: by Geography 2020
  • Figure 23. Oracle Corporation Revenue, Net Income and Gross profit
  • Figure 24. Oracle Corporation Revenue: by Geography 2020
  • Figure 25. Nutanix, Inc. Revenue, Net Income and Gross profit
  • Figure 26. Nutanix, Inc. Revenue: by Geography 2020
  • Figure 27. NetApp, Inc Revenue, Net Income and Gross profit
  • Figure 28. NetApp, Inc Revenue: by Geography 2020
  • Figure 29. Nephos Technologies Revenue, Net Income and Gross profit
  • Figure 30. Nephos Technologies Revenue: by Geography 2020
  • Figure 31. Lenovo Revenue, Net Income and Gross profit
  • Figure 32. Lenovo Revenue: by Geography 2020
  • Figure 33. Huawei Technologies Co., Ltd. Revenue, Net Income and Gross profit
  • Figure 34. Huawei Technologies Co., Ltd. Revenue: by Geography 2020
  • Figure 35. Hitachi Ltd. Revenue, Net Income and Gross profit
  • Figure 36. Hitachi Ltd. Revenue: by Geography 2020
  • Figure 37. Fujitsu Limited, Revenue, Net Income and Gross profit
  • Figure 38. Fujitsu Limited, Revenue: by Geography 2020
  • Figure 39. Alphabet Inc. Revenue, Net Income and Gross profit
  • Figure 40. Alphabet Inc. Revenue: by Geography 2020
  • Figure 41. Global Erasure Coding: by Application USD Million (2021-2026)
  • Figure 42. Global Erasure Coding: by Enterprise USD Million (2021-2026)
  • Figure 43. South America Erasure Coding Share (%), by Country
  • Figure 44. Asia Pacific Erasure Coding Share (%), by Country
  • Figure 45. Europe Erasure Coding Share (%), by Country
  • Figure 46. MEA Erasure Coding Share (%), by Country
  • Figure 47. North America Erasure Coding Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Hewlett Packard Enterprise Company
  • Teradata Corporation
  • Pure Storage, Inc.
  • Pivot3
  • Oracle Corporation
  • Nutanix, Inc.
  • NetApp, Inc
  • Nephos Technologies
  • Lenovo
  • Huawei Technologies Co., Ltd.
  • Hitachi Ltd.
  • Fujitsu Limited,
  • Alphabet Inc.
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Aug 2021 222 Pages 92 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Erasure Coding Market Quantitative research analysis
Global Erasure Coding Market Qualitative Industry Analysis
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