Global Data Deduplication Market

Data Deduplication Comprehensive Study by Type (Public Cloud, Private Cloud, Hybrid Cloud), End Use (BFSI, IT and Telecom, Government, Retail, Healthcare, Others), Cloud Type (Public Cloud, Private Cloud, Hybrid Cloud), Organisation Size (Large Enterprises, SMEs) Players and Region - Global Market Outlook to 2026

Data Deduplication Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
Data Deduplication is a process usually adopted in cloud computing where the excessive copies of same data are deleted to decrease the storage data requirements of the firm. It helps the firms save up cost in data storage, as well as optimizes their storage management and related operations. The increasing adoption of cloud computing technologies enables the growth of the data deduplication. Surge in structured as well as unstructured data has also led the demand from companies to optimize their data storage which indirectly leads to the growth of the data deduplication. North America is currently the largest market of the data deduplication.This growth is primarily driven by Growing Adoption of Cloud Computing Solutions and Surge in Data Collection.

Globally, a noticeable market trend is evident Hybrid Cloud is rising in Popularity. Major Players, such as IBM Corporation (United States), Oracle Corporation (United States), Dell Inc. (United States), ExaGrid Systems, Inc. (United States), Hitachi Vantara Corporation (United States), StrategicDB Corporation (Canada), DQ Global (United Kingdom), FalconStor Software (United States), NortonLifeLock Inc. (United States) and Fujitsu Ltd. (Japan) etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

Key Developments in the Market:
In 2018, Pure Storage, a United States based technology company which specialises in data storage solutions has announced acquisition of StorReduce, a software developer which works on deduplicating, managing and migrating data. The acquisition of the StorReduce allows for better services to be offered under secured data backup and optimization.
In 2020, VMware, Inc., an American multinational cloud computing company has announced acquisition of Datrium, which specialises in Disaster Recovery as a Service provider. The acquisition will also lead to combined synergies as well as Datrium DRaaS will better compliment VMware’s Site Recovery.

Market Drivers
  • Growing Adoption of Cloud Computing Solutions
  • Surge in Data Collection

Market Trend
  • Hybrid Cloud is rising in Popularity

Restraints
  • Privacy Concerns Associated with Process

Opportunities
SMEs Present Huge Opportunity to Grow
Challenges
Increasing Incidents of Data Breach

AMA Research follow a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcase the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyse the products and services offered by multiple players competing to increase their market share and presence.

Customization in the Report
AMA Research features not only specific market forecasts, but also include significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis

Against this Challenging Backdrop, Data Deduplication Study Sheds Light on
— The Data Deduplication Market status quo and key characteristics. To end this, Analyst at AMA organize and took survey of the Data Deduplication industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Data Deduplication industry is heading and what are the top priorities. Insights are drawn from financial analysis, the survey and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold value they currently claim, or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Type
  • Public Cloud
  • Private Cloud
  • Hybrid Cloud
By End Use
  • BFSI
  • IT and Telecom
  • Government
  • Retail
  • Healthcare
  • Others

By Cloud Type
  • Public Cloud
  • Private Cloud
  • Hybrid Cloud

By Organisation Size
  • Large Enterprises
  • SMEs

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 Adoption of Cloud Computing Solutions
      • 3.2.2. Surge in Data Collection
    • 3.3. Market Challenges
      • 3.3.1. Increasing Incidents of Data Breach
    • 3.4. Market Trends
      • 3.4.1. Hybrid Cloud is rising in Popularity
  • 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 Data Deduplication, by Type, End Use, Cloud Type, Organisation Size and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Data Deduplication (Value)
      • 5.2.1. Global Data Deduplication by: Type (Value)
        • 5.2.1.1. Public Cloud
        • 5.2.1.2. Private Cloud
        • 5.2.1.3. Hybrid Cloud
      • 5.2.2. Global Data Deduplication by: End Use (Value)
        • 5.2.2.1. BFSI
        • 5.2.2.2. IT and Telecom
        • 5.2.2.3. Government
        • 5.2.2.4. Retail
        • 5.2.2.5. Healthcare
        • 5.2.2.6. Others
      • 5.2.3. Global Data Deduplication by: Cloud Type (Value)
        • 5.2.3.1. Public Cloud
        • 5.2.3.2. Private Cloud
        • 5.2.3.3. Hybrid Cloud
      • 5.2.4. Global Data Deduplication 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. Data Deduplication: 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. IBM Corporation (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. Oracle Corporation (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. Dell Inc. (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. ExaGrid Systems, Inc. (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. Hitachi Vantara 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. StrategicDB Corporation (Canada)
        • 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. DQ Global (United Kingdom)
        • 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. FalconStor Software (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. NortonLifeLock Inc. (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. Fujitsu Ltd. (Japan)
        • 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 Data Deduplication Sale, by Type, End Use, Cloud Type, Organisation Size and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Data Deduplication (Value)
      • 7.2.1. Global Data Deduplication by: Type (Value)
        • 7.2.1.1. Public Cloud
        • 7.2.1.2. Private Cloud
        • 7.2.1.3. Hybrid Cloud
      • 7.2.2. Global Data Deduplication by: End Use (Value)
        • 7.2.2.1. BFSI
        • 7.2.2.2. IT and Telecom
        • 7.2.2.3. Government
        • 7.2.2.4. Retail
        • 7.2.2.5. Healthcare
        • 7.2.2.6. Others
      • 7.2.3. Global Data Deduplication by: Cloud Type (Value)
        • 7.2.3.1. Public Cloud
        • 7.2.3.2. Private Cloud
        • 7.2.3.3. Hybrid Cloud
      • 7.2.4. Global Data Deduplication 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. Data Deduplication: by Type(USD Million)
  • Table 2. Data Deduplication Public Cloud , by Region USD Million (2015-2020)
  • Table 3. Data Deduplication Private Cloud , by Region USD Million (2015-2020)
  • Table 4. Data Deduplication Hybrid Cloud , by Region USD Million (2015-2020)
  • Table 5. Data Deduplication: by End Use(USD Million)
  • Table 6. Data Deduplication BFSI , by Region USD Million (2015-2020)
  • Table 7. Data Deduplication IT and Telecom , by Region USD Million (2015-2020)
  • Table 8. Data Deduplication Government , by Region USD Million (2015-2020)
  • Table 9. Data Deduplication Retail , by Region USD Million (2015-2020)
  • Table 10. Data Deduplication Healthcare , by Region USD Million (2015-2020)
  • Table 11. Data Deduplication Others , by Region USD Million (2015-2020)
  • Table 12. Data Deduplication: by Cloud Type(USD Million)
  • Table 13. Data Deduplication Public Cloud , by Region USD Million (2015-2020)
  • Table 14. Data Deduplication Private Cloud , by Region USD Million (2015-2020)
  • Table 15. Data Deduplication Hybrid Cloud , by Region USD Million (2015-2020)
  • Table 16. South America Data Deduplication, by Country USD Million (2015-2020)
  • Table 17. South America Data Deduplication, by Type USD Million (2015-2020)
  • Table 18. South America Data Deduplication, by End Use USD Million (2015-2020)
  • Table 19. South America Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 20. South America Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 21. Brazil Data Deduplication, by Type USD Million (2015-2020)
  • Table 22. Brazil Data Deduplication, by End Use USD Million (2015-2020)
  • Table 23. Brazil Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 24. Brazil Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 25. Argentina Data Deduplication, by Type USD Million (2015-2020)
  • Table 26. Argentina Data Deduplication, by End Use USD Million (2015-2020)
  • Table 27. Argentina Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 28. Argentina Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 29. Rest of South America Data Deduplication, by Type USD Million (2015-2020)
  • Table 30. Rest of South America Data Deduplication, by End Use USD Million (2015-2020)
  • Table 31. Rest of South America Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 32. Rest of South America Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 33. Asia Pacific Data Deduplication, by Country USD Million (2015-2020)
  • Table 34. Asia Pacific Data Deduplication, by Type USD Million (2015-2020)
  • Table 35. Asia Pacific Data Deduplication, by End Use USD Million (2015-2020)
  • Table 36. Asia Pacific Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 37. Asia Pacific Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 38. China Data Deduplication, by Type USD Million (2015-2020)
  • Table 39. China Data Deduplication, by End Use USD Million (2015-2020)
  • Table 40. China Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 41. China Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 42. Japan Data Deduplication, by Type USD Million (2015-2020)
  • Table 43. Japan Data Deduplication, by End Use USD Million (2015-2020)
  • Table 44. Japan Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 45. Japan Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 46. India Data Deduplication, by Type USD Million (2015-2020)
  • Table 47. India Data Deduplication, by End Use USD Million (2015-2020)
  • Table 48. India Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 49. India Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 50. South Korea Data Deduplication, by Type USD Million (2015-2020)
  • Table 51. South Korea Data Deduplication, by End Use USD Million (2015-2020)
  • Table 52. South Korea Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 53. South Korea Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 54. Taiwan Data Deduplication, by Type USD Million (2015-2020)
  • Table 55. Taiwan Data Deduplication, by End Use USD Million (2015-2020)
  • Table 56. Taiwan Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 57. Taiwan Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 58. Australia Data Deduplication, by Type USD Million (2015-2020)
  • Table 59. Australia Data Deduplication, by End Use USD Million (2015-2020)
  • Table 60. Australia Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 61. Australia Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 62. Rest of Asia-Pacific Data Deduplication, by Type USD Million (2015-2020)
  • Table 63. Rest of Asia-Pacific Data Deduplication, by End Use USD Million (2015-2020)
  • Table 64. Rest of Asia-Pacific Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 65. Rest of Asia-Pacific Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 66. Europe Data Deduplication, by Country USD Million (2015-2020)
  • Table 67. Europe Data Deduplication, by Type USD Million (2015-2020)
  • Table 68. Europe Data Deduplication, by End Use USD Million (2015-2020)
  • Table 69. Europe Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 70. Europe Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 71. Germany Data Deduplication, by Type USD Million (2015-2020)
  • Table 72. Germany Data Deduplication, by End Use USD Million (2015-2020)
  • Table 73. Germany Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 74. Germany Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 75. France Data Deduplication, by Type USD Million (2015-2020)
  • Table 76. France Data Deduplication, by End Use USD Million (2015-2020)
  • Table 77. France Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 78. France Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 79. Italy Data Deduplication, by Type USD Million (2015-2020)
  • Table 80. Italy Data Deduplication, by End Use USD Million (2015-2020)
  • Table 81. Italy Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 82. Italy Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 83. United Kingdom Data Deduplication, by Type USD Million (2015-2020)
  • Table 84. United Kingdom Data Deduplication, by End Use USD Million (2015-2020)
  • Table 85. United Kingdom Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 86. United Kingdom Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 87. Netherlands Data Deduplication, by Type USD Million (2015-2020)
  • Table 88. Netherlands Data Deduplication, by End Use USD Million (2015-2020)
  • Table 89. Netherlands Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 90. Netherlands Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 91. Rest of Europe Data Deduplication, by Type USD Million (2015-2020)
  • Table 92. Rest of Europe Data Deduplication, by End Use USD Million (2015-2020)
  • Table 93. Rest of Europe Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 94. Rest of Europe Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 95. MEA Data Deduplication, by Country USD Million (2015-2020)
  • Table 96. MEA Data Deduplication, by Type USD Million (2015-2020)
  • Table 97. MEA Data Deduplication, by End Use USD Million (2015-2020)
  • Table 98. MEA Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 99. MEA Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 100. Middle East Data Deduplication, by Type USD Million (2015-2020)
  • Table 101. Middle East Data Deduplication, by End Use USD Million (2015-2020)
  • Table 102. Middle East Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 103. Middle East Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 104. Africa Data Deduplication, by Type USD Million (2015-2020)
  • Table 105. Africa Data Deduplication, by End Use USD Million (2015-2020)
  • Table 106. Africa Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 107. Africa Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 108. North America Data Deduplication, by Country USD Million (2015-2020)
  • Table 109. North America Data Deduplication, by Type USD Million (2015-2020)
  • Table 110. North America Data Deduplication, by End Use USD Million (2015-2020)
  • Table 111. North America Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 112. North America Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 113. United States Data Deduplication, by Type USD Million (2015-2020)
  • Table 114. United States Data Deduplication, by End Use USD Million (2015-2020)
  • Table 115. United States Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 116. United States Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 117. Canada Data Deduplication, by Type USD Million (2015-2020)
  • Table 118. Canada Data Deduplication, by End Use USD Million (2015-2020)
  • Table 119. Canada Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 120. Canada Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 121. Mexico Data Deduplication, by Type USD Million (2015-2020)
  • Table 122. Mexico Data Deduplication, by End Use USD Million (2015-2020)
  • Table 123. Mexico Data Deduplication, by Cloud Type USD Million (2015-2020)
  • Table 124. Mexico Data Deduplication, by Organisation Size USD Million (2015-2020)
  • Table 125. Company Basic Information, Sales Area and Its Competitors
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Data Deduplication: by Type(USD Million)
  • Table 136. Data Deduplication Public Cloud , by Region USD Million (2021-2026)
  • Table 137. Data Deduplication Private Cloud , by Region USD Million (2021-2026)
  • Table 138. Data Deduplication Hybrid Cloud , by Region USD Million (2021-2026)
  • Table 139. Data Deduplication: by End Use(USD Million)
  • Table 140. Data Deduplication BFSI , by Region USD Million (2021-2026)
  • Table 141. Data Deduplication IT and Telecom , by Region USD Million (2021-2026)
  • Table 142. Data Deduplication Government , by Region USD Million (2021-2026)
  • Table 143. Data Deduplication Retail , by Region USD Million (2021-2026)
  • Table 144. Data Deduplication Healthcare , by Region USD Million (2021-2026)
  • Table 145. Data Deduplication Others , by Region USD Million (2021-2026)
  • Table 146. Data Deduplication: by Cloud Type(USD Million)
  • Table 147. Data Deduplication Public Cloud , by Region USD Million (2021-2026)
  • Table 148. Data Deduplication Private Cloud , by Region USD Million (2021-2026)
  • Table 149. Data Deduplication Hybrid Cloud , by Region USD Million (2021-2026)
  • Table 150. South America Data Deduplication, by Country USD Million (2021-2026)
  • Table 151. South America Data Deduplication, by Type USD Million (2021-2026)
  • Table 152. South America Data Deduplication, by End Use USD Million (2021-2026)
  • Table 153. South America Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 154. South America Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 155. Brazil Data Deduplication, by Type USD Million (2021-2026)
  • Table 156. Brazil Data Deduplication, by End Use USD Million (2021-2026)
  • Table 157. Brazil Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 158. Brazil Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 159. Argentina Data Deduplication, by Type USD Million (2021-2026)
  • Table 160. Argentina Data Deduplication, by End Use USD Million (2021-2026)
  • Table 161. Argentina Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 162. Argentina Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 163. Rest of South America Data Deduplication, by Type USD Million (2021-2026)
  • Table 164. Rest of South America Data Deduplication, by End Use USD Million (2021-2026)
  • Table 165. Rest of South America Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 166. Rest of South America Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 167. Asia Pacific Data Deduplication, by Country USD Million (2021-2026)
  • Table 168. Asia Pacific Data Deduplication, by Type USD Million (2021-2026)
  • Table 169. Asia Pacific Data Deduplication, by End Use USD Million (2021-2026)
  • Table 170. Asia Pacific Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 171. Asia Pacific Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 172. China Data Deduplication, by Type USD Million (2021-2026)
  • Table 173. China Data Deduplication, by End Use USD Million (2021-2026)
  • Table 174. China Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 175. China Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 176. Japan Data Deduplication, by Type USD Million (2021-2026)
  • Table 177. Japan Data Deduplication, by End Use USD Million (2021-2026)
  • Table 178. Japan Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 179. Japan Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 180. India Data Deduplication, by Type USD Million (2021-2026)
  • Table 181. India Data Deduplication, by End Use USD Million (2021-2026)
  • Table 182. India Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 183. India Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 184. South Korea Data Deduplication, by Type USD Million (2021-2026)
  • Table 185. South Korea Data Deduplication, by End Use USD Million (2021-2026)
  • Table 186. South Korea Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 187. South Korea Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 188. Taiwan Data Deduplication, by Type USD Million (2021-2026)
  • Table 189. Taiwan Data Deduplication, by End Use USD Million (2021-2026)
  • Table 190. Taiwan Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 191. Taiwan Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 192. Australia Data Deduplication, by Type USD Million (2021-2026)
  • Table 193. Australia Data Deduplication, by End Use USD Million (2021-2026)
  • Table 194. Australia Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 195. Australia Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 196. Rest of Asia-Pacific Data Deduplication, by Type USD Million (2021-2026)
  • Table 197. Rest of Asia-Pacific Data Deduplication, by End Use USD Million (2021-2026)
  • Table 198. Rest of Asia-Pacific Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 199. Rest of Asia-Pacific Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 200. Europe Data Deduplication, by Country USD Million (2021-2026)
  • Table 201. Europe Data Deduplication, by Type USD Million (2021-2026)
  • Table 202. Europe Data Deduplication, by End Use USD Million (2021-2026)
  • Table 203. Europe Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 204. Europe Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 205. Germany Data Deduplication, by Type USD Million (2021-2026)
  • Table 206. Germany Data Deduplication, by End Use USD Million (2021-2026)
  • Table 207. Germany Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 208. Germany Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 209. France Data Deduplication, by Type USD Million (2021-2026)
  • Table 210. France Data Deduplication, by End Use USD Million (2021-2026)
  • Table 211. France Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 212. France Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 213. Italy Data Deduplication, by Type USD Million (2021-2026)
  • Table 214. Italy Data Deduplication, by End Use USD Million (2021-2026)
  • Table 215. Italy Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 216. Italy Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 217. United Kingdom Data Deduplication, by Type USD Million (2021-2026)
  • Table 218. United Kingdom Data Deduplication, by End Use USD Million (2021-2026)
  • Table 219. United Kingdom Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 220. United Kingdom Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 221. Netherlands Data Deduplication, by Type USD Million (2021-2026)
  • Table 222. Netherlands Data Deduplication, by End Use USD Million (2021-2026)
  • Table 223. Netherlands Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 224. Netherlands Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 225. Rest of Europe Data Deduplication, by Type USD Million (2021-2026)
  • Table 226. Rest of Europe Data Deduplication, by End Use USD Million (2021-2026)
  • Table 227. Rest of Europe Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 228. Rest of Europe Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 229. MEA Data Deduplication, by Country USD Million (2021-2026)
  • Table 230. MEA Data Deduplication, by Type USD Million (2021-2026)
  • Table 231. MEA Data Deduplication, by End Use USD Million (2021-2026)
  • Table 232. MEA Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 233. MEA Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 234. Middle East Data Deduplication, by Type USD Million (2021-2026)
  • Table 235. Middle East Data Deduplication, by End Use USD Million (2021-2026)
  • Table 236. Middle East Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 237. Middle East Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 238. Africa Data Deduplication, by Type USD Million (2021-2026)
  • Table 239. Africa Data Deduplication, by End Use USD Million (2021-2026)
  • Table 240. Africa Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 241. Africa Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 242. North America Data Deduplication, by Country USD Million (2021-2026)
  • Table 243. North America Data Deduplication, by Type USD Million (2021-2026)
  • Table 244. North America Data Deduplication, by End Use USD Million (2021-2026)
  • Table 245. North America Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 246. North America Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 247. United States Data Deduplication, by Type USD Million (2021-2026)
  • Table 248. United States Data Deduplication, by End Use USD Million (2021-2026)
  • Table 249. United States Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 250. United States Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 251. Canada Data Deduplication, by Type USD Million (2021-2026)
  • Table 252. Canada Data Deduplication, by End Use USD Million (2021-2026)
  • Table 253. Canada Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 254. Canada Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 255. Mexico Data Deduplication, by Type USD Million (2021-2026)
  • Table 256. Mexico Data Deduplication, by End Use USD Million (2021-2026)
  • Table 257. Mexico Data Deduplication, by Cloud Type USD Million (2021-2026)
  • Table 258. Mexico Data Deduplication, by Organisation Size USD Million (2021-2026)
  • Table 259. Research Programs/Design for This Report
  • Table 260. Key Data Information from Secondary Sources
  • Table 261. 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 Data Deduplication: by Type USD Million (2015-2020)
  • Figure 5. Global Data Deduplication: by End Use USD Million (2015-2020)
  • Figure 6. Global Data Deduplication: by Cloud Type USD Million (2015-2020)
  • Figure 7. South America Data Deduplication Share (%), by Country
  • Figure 8. Asia Pacific Data Deduplication Share (%), by Country
  • Figure 9. Europe Data Deduplication Share (%), by Country
  • Figure 10. MEA Data Deduplication Share (%), by Country
  • Figure 11. North America Data Deduplication Share (%), by Country
  • Figure 12. Global Data Deduplication share by Players 2020 (%)
  • Figure 13. Global Data Deduplication share by Players (Top 3) 2020(%)
  • Figure 14. Global Data Deduplication share by Players (Top 5) 2020(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 17. IBM Corporation (United States) Revenue: by Geography 2020
  • Figure 18. Oracle Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 19. Oracle Corporation (United States) Revenue: by Geography 2020
  • Figure 20. Dell Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 21. Dell Inc. (United States) Revenue: by Geography 2020
  • Figure 22. ExaGrid Systems, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 23. ExaGrid Systems, Inc. (United States) Revenue: by Geography 2020
  • Figure 24. Hitachi Vantara Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 25. Hitachi Vantara Corporation (United States) Revenue: by Geography 2020
  • Figure 26. StrategicDB Corporation (Canada) Revenue, Net Income and Gross profit
  • Figure 27. StrategicDB Corporation (Canada) Revenue: by Geography 2020
  • Figure 28. DQ Global (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 29. DQ Global (United Kingdom) Revenue: by Geography 2020
  • Figure 30. FalconStor Software (United States) Revenue, Net Income and Gross profit
  • Figure 31. FalconStor Software (United States) Revenue: by Geography 2020
  • Figure 32. NortonLifeLock Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 33. NortonLifeLock Inc. (United States) Revenue: by Geography 2020
  • Figure 34. Fujitsu Ltd. (Japan) Revenue, Net Income and Gross profit
  • Figure 35. Fujitsu Ltd. (Japan) Revenue: by Geography 2020
  • Figure 36. Global Data Deduplication: by Type USD Million (2021-2026)
  • Figure 37. Global Data Deduplication: by End Use USD Million (2021-2026)
  • Figure 38. Global Data Deduplication: by Cloud Type USD Million (2021-2026)
  • Figure 39. South America Data Deduplication Share (%), by Country
  • Figure 40. Asia Pacific Data Deduplication Share (%), by Country
  • Figure 41. Europe Data Deduplication Share (%), by Country
  • Figure 42. MEA Data Deduplication Share (%), by Country
  • Figure 43. North America Data Deduplication Share (%), by Country
List of companies from research coverage that are profiled in the study
  • IBM Corporation (United States)
  • Oracle Corporation (United States)
  • Dell Inc. (United States)
  • ExaGrid Systems, Inc. (United States)
  • Hitachi Vantara Corporation (United States)
  • StrategicDB Corporation (Canada)
  • DQ Global (United Kingdom)
  • FalconStor Software (United States)
  • NortonLifeLock Inc. (United States)
  • Fujitsu Ltd. (Japan)
Additional players considered in the study are as follows:
Barracuda Networks, Inc. (United States) , Quantum Corporation (United States) , Veritas Technologies (United States)
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Key Highlights of Report


Jun 2021 217 Pages 59 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Data Deduplication Market Quantitative research analysis
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Frequently Asked Questions (FAQ):

The Data Deduplication market is expected to see a CAGR of % during projected year 2020 to 2026.
Top performing companies in the Global Data Deduplication market are IBM Corporation (United States), Oracle Corporation (United States), Dell Inc. (United States), ExaGrid Systems, Inc. (United States), Hitachi Vantara Corporation (United States), StrategicDB Corporation (Canada), DQ Global (United Kingdom), FalconStor Software (United States), NortonLifeLock Inc. (United States) and Fujitsu Ltd. (Japan), to name a few.
is dominating the Data Deduplication Market.

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