Global Data Classification Market
Global Data Classification Market

Data Classification Comprehensive Study by Application (Access Control, Governance, Risk, and Compliance, Web, Mobile, and Email Protection, Centralized Management), Components (Solutions (Standalone Solution, Integrated Solution), Services (Professional Services, Managed Services)), Vertical (Banking, Financial Services, and Insurance, Healthcare and Life Sciences, Government and Defense, Education, Telecom, Media and Entertainment, Others), Methodology (Content-Based Classification, Context-Based Classification, User-Based Classification), Deployment (On-premises, Cloud) Players and Region - Global Market Outlook to 2024

Data Classification Market Segmented into XX Submarkets. | Forecast Years: 2019- 2024 | CAGR: 24.8%  

Jan 2019 Edition 207 Pages 163 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Global Data Classification Market Overview:
Data classification is the procedure of organizing data into categories for its most efficient and effective use. A well-organized data classification system makes essential data easy to retrieve and find. It is mainly a data management process. This can be used for risk management, compliance, and legal discovery. Written guidelines and procedures for data classification should define what categories and criteria the organization will use to classify data and specify the roles and responsibilities of employees within the organization about data stewardship. That data classification scheme will specify appropriate handling practices for each category and storage standards. Some of the key players profiled in the study are IBM (United States), Google (United States), Microsoft (United States), AWS (United States), Symantec (United States), Opentext (Canada), Boldon James (England), Covata (Australia), Varonis (United States) and Innovative Routines International, Inc. (United States). According to Market Analyst at AMA, the Global Data Classification market may see a growth rate of 24.8% and would reach the market size of USD1665.0 Million by 2024.

On the basis of geography, the market of Data Classification 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). North America region held largest market share in the year 2018. Europe on the other hand stood as second largest market due to the presence of key companies into the region and high technological advancement. If we see Market by Components, the sub-segment i.e. Solutions (Standalone Solution, Integrated Solution) will boost the Data Classification market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Vertical, the sub-segment i.e. Banking, Financial Services, and Insurance will boost the Data Classification market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Methodology, the sub-segment i.e. Content-Based Classification will boost the Data Classification market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Deployment, the sub-segment i.e. On-premises will boost the Data Classification market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • Mandatory Compliance with Stringent Regulations
  • Growth in Uncontrolled Data Volumes and Increased Security Risks

Market Trend
  • Data classification has emerged as a significant tool nowadays
  • Data security is one of the major factors for organizations

Restraints
  • Complicated Classification Schemes and Terminologies

Opportunities
  • Integration of AI and ML into Data Classification
  • Growing Demand for Data Driven Decision-Making Process

Challenges
  • Lack of Awareness about Data Classification
  • Data Pattern Complexities Involved in Data Classification


Major Market Developments:

On 28 Oct. 2018, IBM acquired Red Hat for 34 Billion USD. and On 4 June 2018, Microsoft acquired Github, world’s leading software development platform in 7.5 Billion USD.
Boldon James a data classification leader has announced the release of Classifier 3.13. This latest version of the market-leading data classification and protection solution, Classifier, offers new powerful classification and data control features to enable security, governance and compliance managers to ensure they are compliant with emerging data protection regulations, such as GDPR.

Major prominent players have adopted various organic and inorganic growth strategies to acquired higher share in market. IBM, a giant player is focusing on scaling its platforms, delivering productivity through automation, infusing AI into its offerings, and investing to expand its cloud infrastructure. Google is also one of the key players, have adopted various organic strategies like investment in R&D, focus on strategies such as cloud, machine learning, search, and innovative ideas.

Target Audience:
Data Classification providers, Traders, Importer and Exporter, Raw material suppliers and distributors, Research and consulting firms, Government and research organizations and Associations and industry bodies

Major Objectives Focused through this Study
• To define, describe, and forecast the Global Data Classification market on the basis of product [] , application [Access Control, Governance, Risk, and Compliance, Web, Mobile, and Email Protection and Centralized Management], key regions and end user
• To provide in-depth information regarding major influencing factors affecting the growth of the market (trends, drivers, restraints, opportunities, and industry-centric and regional challenges)
• To strategically analyse the micro-markets and important business segments with respect to individual growth drivers , market trends and potential, and historical contributions to the total market
• Identifying the opportunities in the market for key stakeholders and detailing the competitive landscape for market leaders
• To provide market size for various segments of the Data Classification market with respect to major geographies, namely, 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)
• To strategically profile the key players and analyzing their market shares and core competencies in the Data Classification industry
• To track key developments such as product launches, expansions, agreements, partnerships, mergers & acquisitions, and R&D activities that are key factors in shaping the market

Available Customization:
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**. Additionally, the Players which are also part of the research are Minereye (Israel), Pkware, Inc. (United States), Informatica (United States), Dataguise (United States) and Spirion (United States).
** Confirmation on availability of data would be informed prior purchase

While framing the research framework, major and emerging players operating in the Data Classification market in various regions have been profiled, and their offerings, geographic footprints, and distribution/sales channels have been analysed through in-depth discussions. Top-down and bottom-up approaches have been used to determine the overall market size. Sizes of the other individual markets have been estimated using the percentage splits obtained through secondary sources such as Hoovers, Bloomberg BusinessWeek, and Dow Jones (Factiva), along with primary respondents. The complete methodology includes the study of the annual and financial reports of the key market players and extensive interviews with industry experts such as CEOs, VPs, directors, and marketing executives for key insights (both qualitative and quantitative) related to the market.
Report Objectives / Segmentation Covered
By Application
  • Access Control
  • Governance, Risk, and Compliance
  • Web, Mobile, and Email Protection
  • Centralized Management
By Components
  • Solutions (Standalone Solution, Integrated Solution)
  • Services (Professional Services, Managed Services)

By Vertical
  • Banking, Financial Services, and Insurance
  • Healthcare and Life Sciences
  • Government and Defense
  • Education
  • Telecom
  • Media and Entertainment
  • Others

By Methodology
  • Content-Based Classification
  • Context-Based Classification
  • User-Based Classification

By Deployment
  • On-premises
  • Cloud

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. Mandatory Compliance with Stringent Regulations
      • 3.2.2. Growth in Uncontrolled Data Volumes and Increased Security Risks
    • 3.3. Market Challenges
      • 3.3.1. Lack of Awareness about Data Classification
      • 3.3.2. Data Pattern Complexities Involved in Data Classification
    • 3.4. Market Trends
      • 3.4.1. Data classification has emerged as a significant tool nowadays
      • 3.4.2. Data security is one of the major factors for organizations
  • 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 Classification, by Application, Components, Vertical, Methodology, Deployment and Region (value) (2013-2018)
    • 5.1. Introduction
    • 5.2. Global Data Classification (Value)
      • 5.2.1. Global Data Classification by: Application (Value)
        • 5.2.1.1. Access Control
        • 5.2.1.2. Governance, Risk, and Compliance
        • 5.2.1.3. Web, Mobile, and Email Protection
        • 5.2.1.4. Centralized Management
      • 5.2.2. Global Data Classification by: Components (Value)
        • 5.2.2.1. Solutions (Standalone Solution, Integrated Solution)
        • 5.2.2.2. Services (Professional Services, Managed Services)
      • 5.2.3. Global Data Classification by: Vertical (Value)
        • 5.2.3.1. Banking, Financial Services, and Insurance
        • 5.2.3.2. Healthcare and Life Sciences
        • 5.2.3.3. Government and Defense
        • 5.2.3.4. Education
        • 5.2.3.5. Telecom
        • 5.2.3.6. Media and Entertainment
        • 5.2.3.7. Others
      • 5.2.4. Global Data Classification by: Methodology (Value)
        • 5.2.4.1. Content-Based Classification
        • 5.2.4.2. Context-Based Classification
        • 5.2.4.3. User-Based Classification
      • 5.2.5. Global Data Classification by: Deployment (Value)
        • 5.2.5.1. On-premises
        • 5.2.5.2. Cloud
      • 5.2.6. Global Data Classification Region
        • 5.2.6.1. South America
          • 5.2.6.1.1. Brazil
          • 5.2.6.1.2. Argentina
          • 5.2.6.1.3. Rest of South America
        • 5.2.6.2. Asia Pacific
          • 5.2.6.2.1. China
          • 5.2.6.2.2. Japan
          • 5.2.6.2.3. India
          • 5.2.6.2.4. South Korea
          • 5.2.6.2.5. Taiwan
          • 5.2.6.2.6. Australia
          • 5.2.6.2.7. Rest of Asia-Pacific
        • 5.2.6.3. Europe
          • 5.2.6.3.1. Germany
          • 5.2.6.3.2. France
          • 5.2.6.3.3. Italy
          • 5.2.6.3.4. United Kingdom
          • 5.2.6.3.5. Netherlands
          • 5.2.6.3.6. Rest of Europe
        • 5.2.6.4. MEA
          • 5.2.6.4.1. Middle East
          • 5.2.6.4.2. Africa
        • 5.2.6.5. North America
          • 5.2.6.5.1. United States
          • 5.2.6.5.2. Canada
          • 5.2.6.5.3. Mexico
  • 6. Data Classification: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2018)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. IBM (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Google (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. Microsoft (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. AWS (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. Symantec (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. Opentext (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. Boldon James (England)
        • 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. Covata (Australia)
        • 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. Varonis (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. Innovative Routines International, Inc. (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 Data Classification Sale, by Application, Components, Vertical, Methodology, Deployment and Region (value) (2019-2024)
    • 7.1. Introduction
    • 7.2. Global Data Classification (Value)
      • 7.2.1. Global Data Classification by: Application (Value)
        • 7.2.1.1. Access Control
        • 7.2.1.2. Governance, Risk, and Compliance
        • 7.2.1.3. Web, Mobile, and Email Protection
        • 7.2.1.4. Centralized Management
      • 7.2.2. Global Data Classification by: Components (Value)
        • 7.2.2.1. Solutions (Standalone Solution, Integrated Solution)
        • 7.2.2.2. Services (Professional Services, Managed Services)
      • 7.2.3. Global Data Classification by: Vertical (Value)
        • 7.2.3.1. Banking, Financial Services, and Insurance
        • 7.2.3.2. Healthcare and Life Sciences
        • 7.2.3.3. Government and Defense
        • 7.2.3.4. Education
        • 7.2.3.5. Telecom
        • 7.2.3.6. Media and Entertainment
        • 7.2.3.7. Others
      • 7.2.4. Global Data Classification by: Methodology (Value)
        • 7.2.4.1. Content-Based Classification
        • 7.2.4.2. Context-Based Classification
        • 7.2.4.3. User-Based Classification
      • 7.2.5. Global Data Classification by: Deployment (Value)
        • 7.2.5.1. On-premises
        • 7.2.5.2. Cloud
      • 7.2.6. Global Data Classification Region
        • 7.2.6.1. South America
          • 7.2.6.1.1. Brazil
          • 7.2.6.1.2. Argentina
          • 7.2.6.1.3. Rest of South America
        • 7.2.6.2. Asia Pacific
          • 7.2.6.2.1. China
          • 7.2.6.2.2. Japan
          • 7.2.6.2.3. India
          • 7.2.6.2.4. South Korea
          • 7.2.6.2.5. Taiwan
          • 7.2.6.2.6. Australia
          • 7.2.6.2.7. Rest of Asia-Pacific
        • 7.2.6.3. Europe
          • 7.2.6.3.1. Germany
          • 7.2.6.3.2. France
          • 7.2.6.3.3. Italy
          • 7.2.6.3.4. United Kingdom
          • 7.2.6.3.5. Netherlands
          • 7.2.6.3.6. Rest of Europe
        • 7.2.6.4. MEA
          • 7.2.6.4.1. Middle East
          • 7.2.6.4.2. Africa
        • 7.2.6.5. North America
          • 7.2.6.5.1. United States
          • 7.2.6.5.2. Canada
          • 7.2.6.5.3. 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 Classification: by Application(USD Million)
  • Table 2. Data Classification Access Control , by Region USD Million (2013-2018)
  • Table 3. Data Classification Governance, Risk, and Compliance , by Region USD Million (2013-2018)
  • Table 4. Data Classification Web, Mobile, and Email Protection , by Region USD Million (2013-2018)
  • Table 5. Data Classification Centralized Management , by Region USD Million (2013-2018)
  • Table 6. Data Classification: by Components(USD Million)
  • Table 7. Data Classification Solutions (Standalone Solution, Integrated Solution) , by Region USD Million (2013-2018)
  • Table 8. Data Classification Services (Professional Services, Managed Services) , by Region USD Million (2013-2018)
  • Table 9. Data Classification: by Vertical(USD Million)
  • Table 10. Data Classification Banking, Financial Services, and Insurance , by Region USD Million (2013-2018)
  • Table 11. Data Classification Healthcare and Life Sciences , by Region USD Million (2013-2018)
  • Table 12. Data Classification Government and Defense , by Region USD Million (2013-2018)
  • Table 13. Data Classification Education , by Region USD Million (2013-2018)
  • Table 14. Data Classification Telecom , by Region USD Million (2013-2018)
  • Table 15. Data Classification Media and Entertainment , by Region USD Million (2013-2018)
  • Table 16. Data Classification Others , by Region USD Million (2013-2018)
  • Table 17. Data Classification: by Methodology(USD Million)
  • Table 18. Data Classification Content-Based Classification , by Region USD Million (2013-2018)
  • Table 19. Data Classification Context-Based Classification , by Region USD Million (2013-2018)
  • Table 20. Data Classification User-Based Classification , by Region USD Million (2013-2018)
  • Table 21. Data Classification: by Deployment(USD Million)
  • Table 22. Data Classification On-premises , by Region USD Million (2013-2018)
  • Table 23. Data Classification Cloud , by Region USD Million (2013-2018)
  • Table 24. South America Data Classification, by Country USD Million (2013-2018)
  • Table 25. South America Data Classification, by Application USD Million (2013-2018)
  • Table 26. South America Data Classification, by Components USD Million (2013-2018)
  • Table 27. South America Data Classification, by Vertical USD Million (2013-2018)
  • Table 28. South America Data Classification, by Methodology USD Million (2013-2018)
  • Table 29. South America Data Classification, by Deployment USD Million (2013-2018)
  • Table 30. Brazil Data Classification, by Application USD Million (2013-2018)
  • Table 31. Brazil Data Classification, by Components USD Million (2013-2018)
  • Table 32. Brazil Data Classification, by Vertical USD Million (2013-2018)
  • Table 33. Brazil Data Classification, by Methodology USD Million (2013-2018)
  • Table 34. Brazil Data Classification, by Deployment USD Million (2013-2018)
  • Table 35. Argentina Data Classification, by Application USD Million (2013-2018)
  • Table 36. Argentina Data Classification, by Components USD Million (2013-2018)
  • Table 37. Argentina Data Classification, by Vertical USD Million (2013-2018)
  • Table 38. Argentina Data Classification, by Methodology USD Million (2013-2018)
  • Table 39. Argentina Data Classification, by Deployment USD Million (2013-2018)
  • Table 40. Rest of South America Data Classification, by Application USD Million (2013-2018)
  • Table 41. Rest of South America Data Classification, by Components USD Million (2013-2018)
  • Table 42. Rest of South America Data Classification, by Vertical USD Million (2013-2018)
  • Table 43. Rest of South America Data Classification, by Methodology USD Million (2013-2018)
  • Table 44. Rest of South America Data Classification, by Deployment USD Million (2013-2018)
  • Table 45. Asia Pacific Data Classification, by Country USD Million (2013-2018)
  • Table 46. Asia Pacific Data Classification, by Application USD Million (2013-2018)
  • Table 47. Asia Pacific Data Classification, by Components USD Million (2013-2018)
  • Table 48. Asia Pacific Data Classification, by Vertical USD Million (2013-2018)
  • Table 49. Asia Pacific Data Classification, by Methodology USD Million (2013-2018)
  • Table 50. Asia Pacific Data Classification, by Deployment USD Million (2013-2018)
  • Table 51. China Data Classification, by Application USD Million (2013-2018)
  • Table 52. China Data Classification, by Components USD Million (2013-2018)
  • Table 53. China Data Classification, by Vertical USD Million (2013-2018)
  • Table 54. China Data Classification, by Methodology USD Million (2013-2018)
  • Table 55. China Data Classification, by Deployment USD Million (2013-2018)
  • Table 56. Japan Data Classification, by Application USD Million (2013-2018)
  • Table 57. Japan Data Classification, by Components USD Million (2013-2018)
  • Table 58. Japan Data Classification, by Vertical USD Million (2013-2018)
  • Table 59. Japan Data Classification, by Methodology USD Million (2013-2018)
  • Table 60. Japan Data Classification, by Deployment USD Million (2013-2018)
  • Table 61. India Data Classification, by Application USD Million (2013-2018)
  • Table 62. India Data Classification, by Components USD Million (2013-2018)
  • Table 63. India Data Classification, by Vertical USD Million (2013-2018)
  • Table 64. India Data Classification, by Methodology USD Million (2013-2018)
  • Table 65. India Data Classification, by Deployment USD Million (2013-2018)
  • Table 66. South Korea Data Classification, by Application USD Million (2013-2018)
  • Table 67. South Korea Data Classification, by Components USD Million (2013-2018)
  • Table 68. South Korea Data Classification, by Vertical USD Million (2013-2018)
  • Table 69. South Korea Data Classification, by Methodology USD Million (2013-2018)
  • Table 70. South Korea Data Classification, by Deployment USD Million (2013-2018)
  • Table 71. Taiwan Data Classification, by Application USD Million (2013-2018)
  • Table 72. Taiwan Data Classification, by Components USD Million (2013-2018)
  • Table 73. Taiwan Data Classification, by Vertical USD Million (2013-2018)
  • Table 74. Taiwan Data Classification, by Methodology USD Million (2013-2018)
  • Table 75. Taiwan Data Classification, by Deployment USD Million (2013-2018)
  • Table 76. Australia Data Classification, by Application USD Million (2013-2018)
  • Table 77. Australia Data Classification, by Components USD Million (2013-2018)
  • Table 78. Australia Data Classification, by Vertical USD Million (2013-2018)
  • Table 79. Australia Data Classification, by Methodology USD Million (2013-2018)
  • Table 80. Australia Data Classification, by Deployment USD Million (2013-2018)
  • Table 81. Rest of Asia-Pacific Data Classification, by Application USD Million (2013-2018)
  • Table 82. Rest of Asia-Pacific Data Classification, by Components USD Million (2013-2018)
  • Table 83. Rest of Asia-Pacific Data Classification, by Vertical USD Million (2013-2018)
  • Table 84. Rest of Asia-Pacific Data Classification, by Methodology USD Million (2013-2018)
  • Table 85. Rest of Asia-Pacific Data Classification, by Deployment USD Million (2013-2018)
  • Table 86. Europe Data Classification, by Country USD Million (2013-2018)
  • Table 87. Europe Data Classification, by Application USD Million (2013-2018)
  • Table 88. Europe Data Classification, by Components USD Million (2013-2018)
  • Table 89. Europe Data Classification, by Vertical USD Million (2013-2018)
  • Table 90. Europe Data Classification, by Methodology USD Million (2013-2018)
  • Table 91. Europe Data Classification, by Deployment USD Million (2013-2018)
  • Table 92. Germany Data Classification, by Application USD Million (2013-2018)
  • Table 93. Germany Data Classification, by Components USD Million (2013-2018)
  • Table 94. Germany Data Classification, by Vertical USD Million (2013-2018)
  • Table 95. Germany Data Classification, by Methodology USD Million (2013-2018)
  • Table 96. Germany Data Classification, by Deployment USD Million (2013-2018)
  • Table 97. France Data Classification, by Application USD Million (2013-2018)
  • Table 98. France Data Classification, by Components USD Million (2013-2018)
  • Table 99. France Data Classification, by Vertical USD Million (2013-2018)
  • Table 100. France Data Classification, by Methodology USD Million (2013-2018)
  • Table 101. France Data Classification, by Deployment USD Million (2013-2018)
  • Table 102. Italy Data Classification, by Application USD Million (2013-2018)
  • Table 103. Italy Data Classification, by Components USD Million (2013-2018)
  • Table 104. Italy Data Classification, by Vertical USD Million (2013-2018)
  • Table 105. Italy Data Classification, by Methodology USD Million (2013-2018)
  • Table 106. Italy Data Classification, by Deployment USD Million (2013-2018)
  • Table 107. United Kingdom Data Classification, by Application USD Million (2013-2018)
  • Table 108. United Kingdom Data Classification, by Components USD Million (2013-2018)
  • Table 109. United Kingdom Data Classification, by Vertical USD Million (2013-2018)
  • Table 110. United Kingdom Data Classification, by Methodology USD Million (2013-2018)
  • Table 111. United Kingdom Data Classification, by Deployment USD Million (2013-2018)
  • Table 112. Netherlands Data Classification, by Application USD Million (2013-2018)
  • Table 113. Netherlands Data Classification, by Components USD Million (2013-2018)
  • Table 114. Netherlands Data Classification, by Vertical USD Million (2013-2018)
  • Table 115. Netherlands Data Classification, by Methodology USD Million (2013-2018)
  • Table 116. Netherlands Data Classification, by Deployment USD Million (2013-2018)
  • Table 117. Rest of Europe Data Classification, by Application USD Million (2013-2018)
  • Table 118. Rest of Europe Data Classification, by Components USD Million (2013-2018)
  • Table 119. Rest of Europe Data Classification, by Vertical USD Million (2013-2018)
  • Table 120. Rest of Europe Data Classification, by Methodology USD Million (2013-2018)
  • Table 121. Rest of Europe Data Classification, by Deployment USD Million (2013-2018)
  • Table 122. MEA Data Classification, by Country USD Million (2013-2018)
  • Table 123. MEA Data Classification, by Application USD Million (2013-2018)
  • Table 124. MEA Data Classification, by Components USD Million (2013-2018)
  • Table 125. MEA Data Classification, by Vertical USD Million (2013-2018)
  • Table 126. MEA Data Classification, by Methodology USD Million (2013-2018)
  • Table 127. MEA Data Classification, by Deployment USD Million (2013-2018)
  • Table 128. Middle East Data Classification, by Application USD Million (2013-2018)
  • Table 129. Middle East Data Classification, by Components USD Million (2013-2018)
  • Table 130. Middle East Data Classification, by Vertical USD Million (2013-2018)
  • Table 131. Middle East Data Classification, by Methodology USD Million (2013-2018)
  • Table 132. Middle East Data Classification, by Deployment USD Million (2013-2018)
  • Table 133. Africa Data Classification, by Application USD Million (2013-2018)
  • Table 134. Africa Data Classification, by Components USD Million (2013-2018)
  • Table 135. Africa Data Classification, by Vertical USD Million (2013-2018)
  • Table 136. Africa Data Classification, by Methodology USD Million (2013-2018)
  • Table 137. Africa Data Classification, by Deployment USD Million (2013-2018)
  • Table 138. North America Data Classification, by Country USD Million (2013-2018)
  • Table 139. North America Data Classification, by Application USD Million (2013-2018)
  • Table 140. North America Data Classification, by Components USD Million (2013-2018)
  • Table 141. North America Data Classification, by Vertical USD Million (2013-2018)
  • Table 142. North America Data Classification, by Methodology USD Million (2013-2018)
  • Table 143. North America Data Classification, by Deployment USD Million (2013-2018)
  • Table 144. United States Data Classification, by Application USD Million (2013-2018)
  • Table 145. United States Data Classification, by Components USD Million (2013-2018)
  • Table 146. United States Data Classification, by Vertical USD Million (2013-2018)
  • Table 147. United States Data Classification, by Methodology USD Million (2013-2018)
  • Table 148. United States Data Classification, by Deployment USD Million (2013-2018)
  • Table 149. Canada Data Classification, by Application USD Million (2013-2018)
  • Table 150. Canada Data Classification, by Components USD Million (2013-2018)
  • Table 151. Canada Data Classification, by Vertical USD Million (2013-2018)
  • Table 152. Canada Data Classification, by Methodology USD Million (2013-2018)
  • Table 153. Canada Data Classification, by Deployment USD Million (2013-2018)
  • Table 154. Mexico Data Classification, by Application USD Million (2013-2018)
  • Table 155. Mexico Data Classification, by Components USD Million (2013-2018)
  • Table 156. Mexico Data Classification, by Vertical USD Million (2013-2018)
  • Table 157. Mexico Data Classification, by Methodology USD Million (2013-2018)
  • Table 158. Mexico Data Classification, by Deployment USD Million (2013-2018)
  • Table 159. Company Basic Information, Sales Area and Its Competitors
  • Table 160. Company Basic Information, Sales Area and Its Competitors
  • Table 161. Company Basic Information, Sales Area and Its Competitors
  • Table 162. Company Basic Information, Sales Area and Its Competitors
  • Table 163. Company Basic Information, Sales Area and Its Competitors
  • Table 164. Company Basic Information, Sales Area and Its Competitors
  • Table 165. Company Basic Information, Sales Area and Its Competitors
  • Table 166. Company Basic Information, Sales Area and Its Competitors
  • Table 167. Company Basic Information, Sales Area and Its Competitors
  • Table 168. Company Basic Information, Sales Area and Its Competitors
  • Table 169. Data Classification: by Application(USD Million)
  • Table 170. Data Classification Access Control , by Region USD Million (2019-2024)
  • Table 171. Data Classification Governance, Risk, and Compliance , by Region USD Million (2019-2024)
  • Table 172. Data Classification Web, Mobile, and Email Protection , by Region USD Million (2019-2024)
  • Table 173. Data Classification Centralized Management , by Region USD Million (2019-2024)
  • Table 174. Data Classification: by Components(USD Million)
  • Table 175. Data Classification Solutions (Standalone Solution, Integrated Solution) , by Region USD Million (2019-2024)
  • Table 176. Data Classification Services (Professional Services, Managed Services) , by Region USD Million (2019-2024)
  • Table 177. Data Classification: by Vertical(USD Million)
  • Table 178. Data Classification Banking, Financial Services, and Insurance , by Region USD Million (2019-2024)
  • Table 179. Data Classification Healthcare and Life Sciences , by Region USD Million (2019-2024)
  • Table 180. Data Classification Government and Defense , by Region USD Million (2019-2024)
  • Table 181. Data Classification Education , by Region USD Million (2019-2024)
  • Table 182. Data Classification Telecom , by Region USD Million (2019-2024)
  • Table 183. Data Classification Media and Entertainment , by Region USD Million (2019-2024)
  • Table 184. Data Classification Others , by Region USD Million (2019-2024)
  • Table 185. Data Classification: by Methodology(USD Million)
  • Table 186. Data Classification Content-Based Classification , by Region USD Million (2019-2024)
  • Table 187. Data Classification Context-Based Classification , by Region USD Million (2019-2024)
  • Table 188. Data Classification User-Based Classification , by Region USD Million (2019-2024)
  • Table 189. Data Classification: by Deployment(USD Million)
  • Table 190. Data Classification On-premises , by Region USD Million (2019-2024)
  • Table 191. Data Classification Cloud , by Region USD Million (2019-2024)
  • Table 192. South America Data Classification, by Country USD Million (2019-2024)
  • Table 193. South America Data Classification, by Application USD Million (2019-2024)
  • Table 194. South America Data Classification, by Components USD Million (2019-2024)
  • Table 195. South America Data Classification, by Vertical USD Million (2019-2024)
  • Table 196. South America Data Classification, by Methodology USD Million (2019-2024)
  • Table 197. South America Data Classification, by Deployment USD Million (2019-2024)
  • Table 198. Brazil Data Classification, by Application USD Million (2019-2024)
  • Table 199. Brazil Data Classification, by Components USD Million (2019-2024)
  • Table 200. Brazil Data Classification, by Vertical USD Million (2019-2024)
  • Table 201. Brazil Data Classification, by Methodology USD Million (2019-2024)
  • Table 202. Brazil Data Classification, by Deployment USD Million (2019-2024)
  • Table 203. Argentina Data Classification, by Application USD Million (2019-2024)
  • Table 204. Argentina Data Classification, by Components USD Million (2019-2024)
  • Table 205. Argentina Data Classification, by Vertical USD Million (2019-2024)
  • Table 206. Argentina Data Classification, by Methodology USD Million (2019-2024)
  • Table 207. Argentina Data Classification, by Deployment USD Million (2019-2024)
  • Table 208. Rest of South America Data Classification, by Application USD Million (2019-2024)
  • Table 209. Rest of South America Data Classification, by Components USD Million (2019-2024)
  • Table 210. Rest of South America Data Classification, by Vertical USD Million (2019-2024)
  • Table 211. Rest of South America Data Classification, by Methodology USD Million (2019-2024)
  • Table 212. Rest of South America Data Classification, by Deployment USD Million (2019-2024)
  • Table 213. Asia Pacific Data Classification, by Country USD Million (2019-2024)
  • Table 214. Asia Pacific Data Classification, by Application USD Million (2019-2024)
  • Table 215. Asia Pacific Data Classification, by Components USD Million (2019-2024)
  • Table 216. Asia Pacific Data Classification, by Vertical USD Million (2019-2024)
  • Table 217. Asia Pacific Data Classification, by Methodology USD Million (2019-2024)
  • Table 218. Asia Pacific Data Classification, by Deployment USD Million (2019-2024)
  • Table 219. China Data Classification, by Application USD Million (2019-2024)
  • Table 220. China Data Classification, by Components USD Million (2019-2024)
  • Table 221. China Data Classification, by Vertical USD Million (2019-2024)
  • Table 222. China Data Classification, by Methodology USD Million (2019-2024)
  • Table 223. China Data Classification, by Deployment USD Million (2019-2024)
  • Table 224. Japan Data Classification, by Application USD Million (2019-2024)
  • Table 225. Japan Data Classification, by Components USD Million (2019-2024)
  • Table 226. Japan Data Classification, by Vertical USD Million (2019-2024)
  • Table 227. Japan Data Classification, by Methodology USD Million (2019-2024)
  • Table 228. Japan Data Classification, by Deployment USD Million (2019-2024)
  • Table 229. India Data Classification, by Application USD Million (2019-2024)
  • Table 230. India Data Classification, by Components USD Million (2019-2024)
  • Table 231. India Data Classification, by Vertical USD Million (2019-2024)
  • Table 232. India Data Classification, by Methodology USD Million (2019-2024)
  • Table 233. India Data Classification, by Deployment USD Million (2019-2024)
  • Table 234. South Korea Data Classification, by Application USD Million (2019-2024)
  • Table 235. South Korea Data Classification, by Components USD Million (2019-2024)
  • Table 236. South Korea Data Classification, by Vertical USD Million (2019-2024)
  • Table 237. South Korea Data Classification, by Methodology USD Million (2019-2024)
  • Table 238. South Korea Data Classification, by Deployment USD Million (2019-2024)
  • Table 239. Taiwan Data Classification, by Application USD Million (2019-2024)
  • Table 240. Taiwan Data Classification, by Components USD Million (2019-2024)
  • Table 241. Taiwan Data Classification, by Vertical USD Million (2019-2024)
  • Table 242. Taiwan Data Classification, by Methodology USD Million (2019-2024)
  • Table 243. Taiwan Data Classification, by Deployment USD Million (2019-2024)
  • Table 244. Australia Data Classification, by Application USD Million (2019-2024)
  • Table 245. Australia Data Classification, by Components USD Million (2019-2024)
  • Table 246. Australia Data Classification, by Vertical USD Million (2019-2024)
  • Table 247. Australia Data Classification, by Methodology USD Million (2019-2024)
  • Table 248. Australia Data Classification, by Deployment USD Million (2019-2024)
  • Table 249. Rest of Asia-Pacific Data Classification, by Application USD Million (2019-2024)
  • Table 250. Rest of Asia-Pacific Data Classification, by Components USD Million (2019-2024)
  • Table 251. Rest of Asia-Pacific Data Classification, by Vertical USD Million (2019-2024)
  • Table 252. Rest of Asia-Pacific Data Classification, by Methodology USD Million (2019-2024)
  • Table 253. Rest of Asia-Pacific Data Classification, by Deployment USD Million (2019-2024)
  • Table 254. Europe Data Classification, by Country USD Million (2019-2024)
  • Table 255. Europe Data Classification, by Application USD Million (2019-2024)
  • Table 256. Europe Data Classification, by Components USD Million (2019-2024)
  • Table 257. Europe Data Classification, by Vertical USD Million (2019-2024)
  • Table 258. Europe Data Classification, by Methodology USD Million (2019-2024)
  • Table 259. Europe Data Classification, by Deployment USD Million (2019-2024)
  • Table 260. Germany Data Classification, by Application USD Million (2019-2024)
  • Table 261. Germany Data Classification, by Components USD Million (2019-2024)
  • Table 262. Germany Data Classification, by Vertical USD Million (2019-2024)
  • Table 263. Germany Data Classification, by Methodology USD Million (2019-2024)
  • Table 264. Germany Data Classification, by Deployment USD Million (2019-2024)
  • Table 265. France Data Classification, by Application USD Million (2019-2024)
  • Table 266. France Data Classification, by Components USD Million (2019-2024)
  • Table 267. France Data Classification, by Vertical USD Million (2019-2024)
  • Table 268. France Data Classification, by Methodology USD Million (2019-2024)
  • Table 269. France Data Classification, by Deployment USD Million (2019-2024)
  • Table 270. Italy Data Classification, by Application USD Million (2019-2024)
  • Table 271. Italy Data Classification, by Components USD Million (2019-2024)
  • Table 272. Italy Data Classification, by Vertical USD Million (2019-2024)
  • Table 273. Italy Data Classification, by Methodology USD Million (2019-2024)
  • Table 274. Italy Data Classification, by Deployment USD Million (2019-2024)
  • Table 275. United Kingdom Data Classification, by Application USD Million (2019-2024)
  • Table 276. United Kingdom Data Classification, by Components USD Million (2019-2024)
  • Table 277. United Kingdom Data Classification, by Vertical USD Million (2019-2024)
  • Table 278. United Kingdom Data Classification, by Methodology USD Million (2019-2024)
  • Table 279. United Kingdom Data Classification, by Deployment USD Million (2019-2024)
  • Table 280. Netherlands Data Classification, by Application USD Million (2019-2024)
  • Table 281. Netherlands Data Classification, by Components USD Million (2019-2024)
  • Table 282. Netherlands Data Classification, by Vertical USD Million (2019-2024)
  • Table 283. Netherlands Data Classification, by Methodology USD Million (2019-2024)
  • Table 284. Netherlands Data Classification, by Deployment USD Million (2019-2024)
  • Table 285. Rest of Europe Data Classification, by Application USD Million (2019-2024)
  • Table 286. Rest of Europe Data Classification, by Components USD Million (2019-2024)
  • Table 287. Rest of Europe Data Classification, by Vertical USD Million (2019-2024)
  • Table 288. Rest of Europe Data Classification, by Methodology USD Million (2019-2024)
  • Table 289. Rest of Europe Data Classification, by Deployment USD Million (2019-2024)
  • Table 290. MEA Data Classification, by Country USD Million (2019-2024)
  • Table 291. MEA Data Classification, by Application USD Million (2019-2024)
  • Table 292. MEA Data Classification, by Components USD Million (2019-2024)
  • Table 293. MEA Data Classification, by Vertical USD Million (2019-2024)
  • Table 294. MEA Data Classification, by Methodology USD Million (2019-2024)
  • Table 295. MEA Data Classification, by Deployment USD Million (2019-2024)
  • Table 296. Middle East Data Classification, by Application USD Million (2019-2024)
  • Table 297. Middle East Data Classification, by Components USD Million (2019-2024)
  • Table 298. Middle East Data Classification, by Vertical USD Million (2019-2024)
  • Table 299. Middle East Data Classification, by Methodology USD Million (2019-2024)
  • Table 300. Middle East Data Classification, by Deployment USD Million (2019-2024)
  • Table 301. Africa Data Classification, by Application USD Million (2019-2024)
  • Table 302. Africa Data Classification, by Components USD Million (2019-2024)
  • Table 303. Africa Data Classification, by Vertical USD Million (2019-2024)
  • Table 304. Africa Data Classification, by Methodology USD Million (2019-2024)
  • Table 305. Africa Data Classification, by Deployment USD Million (2019-2024)
  • Table 306. North America Data Classification, by Country USD Million (2019-2024)
  • Table 307. North America Data Classification, by Application USD Million (2019-2024)
  • Table 308. North America Data Classification, by Components USD Million (2019-2024)
  • Table 309. North America Data Classification, by Vertical USD Million (2019-2024)
  • Table 310. North America Data Classification, by Methodology USD Million (2019-2024)
  • Table 311. North America Data Classification, by Deployment USD Million (2019-2024)
  • Table 312. United States Data Classification, by Application USD Million (2019-2024)
  • Table 313. United States Data Classification, by Components USD Million (2019-2024)
  • Table 314. United States Data Classification, by Vertical USD Million (2019-2024)
  • Table 315. United States Data Classification, by Methodology USD Million (2019-2024)
  • Table 316. United States Data Classification, by Deployment USD Million (2019-2024)
  • Table 317. Canada Data Classification, by Application USD Million (2019-2024)
  • Table 318. Canada Data Classification, by Components USD Million (2019-2024)
  • Table 319. Canada Data Classification, by Vertical USD Million (2019-2024)
  • Table 320. Canada Data Classification, by Methodology USD Million (2019-2024)
  • Table 321. Canada Data Classification, by Deployment USD Million (2019-2024)
  • Table 322. Mexico Data Classification, by Application USD Million (2019-2024)
  • Table 323. Mexico Data Classification, by Components USD Million (2019-2024)
  • Table 324. Mexico Data Classification, by Vertical USD Million (2019-2024)
  • Table 325. Mexico Data Classification, by Methodology USD Million (2019-2024)
  • Table 326. Mexico Data Classification, by Deployment USD Million (2019-2024)
  • Table 327. Research Programs/Design for This Report
  • Table 328. Key Data Information from Secondary Sources
  • Table 329. 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 Classification: by Application USD Million (2013-2018)
  • Figure 5. Global Data Classification: by Components USD Million (2013-2018)
  • Figure 6. Global Data Classification: by Vertical USD Million (2013-2018)
  • Figure 7. Global Data Classification: by Methodology USD Million (2013-2018)
  • Figure 8. Global Data Classification: by Deployment USD Million (2013-2018)
  • Figure 9. South America Data Classification Share (%), by Country
  • Figure 10. Asia Pacific Data Classification Share (%), by Country
  • Figure 11. Europe Data Classification Share (%), by Country
  • Figure 12. MEA Data Classification Share (%), by Country
  • Figure 13. North America Data Classification Share (%), by Country
  • Figure 14. Global Data Classification share by Players 2018 (%)
  • Figure 15. Global Data Classification share by Players (Top 3) 2018(%)
  • Figure 16. Global Data Classification share by Players (Top 5) 2018(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 19. IBM (United States) Revenue: by Geography 2018
  • Figure 20. Google (United States) Revenue, Net Income and Gross profit
  • Figure 21. Google (United States) Revenue: by Geography 2018
  • Figure 22. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 23. Microsoft (United States) Revenue: by Geography 2018
  • Figure 24. AWS (United States) Revenue, Net Income and Gross profit
  • Figure 25. AWS (United States) Revenue: by Geography 2018
  • Figure 26. Symantec (United States) Revenue, Net Income and Gross profit
  • Figure 27. Symantec (United States) Revenue: by Geography 2018
  • Figure 28. Opentext (Canada) Revenue, Net Income and Gross profit
  • Figure 29. Opentext (Canada) Revenue: by Geography 2018
  • Figure 30. Boldon James (England) Revenue, Net Income and Gross profit
  • Figure 31. Boldon James (England) Revenue: by Geography 2018
  • Figure 32. Covata (Australia) Revenue, Net Income and Gross profit
  • Figure 33. Covata (Australia) Revenue: by Geography 2018
  • Figure 34. Varonis (United States) Revenue, Net Income and Gross profit
  • Figure 35. Varonis (United States) Revenue: by Geography 2018
  • Figure 36. Innovative Routines International, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 37. Innovative Routines International, Inc. (United States) Revenue: by Geography 2018
  • Figure 38. Global Data Classification: by Application USD Million (2013-2018)
  • Figure 39. Global Data Classification: by Components USD Million (2013-2018)
  • Figure 40. Global Data Classification: by Vertical USD Million (2013-2018)
  • Figure 41. Global Data Classification: by Methodology USD Million (2013-2018)
  • Figure 42. Global Data Classification: by Deployment USD Million (2013-2018)
  • Figure 43. South America Data Classification Share (%), by Country
  • Figure 44. Asia Pacific Data Classification Share (%), by Country
  • Figure 45. Europe Data Classification Share (%), by Country
  • Figure 46. MEA Data Classification Share (%), by Country
  • Figure 47. North America Data Classification Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • IBM (United States)
  • Google (United States)
  • Microsoft (United States)
  • AWS (United States)
  • Symantec (United States)
  • Opentext (Canada)
  • Boldon James (England)
  • Covata (Australia)
  • Varonis (United States)
  • Innovative Routines International, Inc. (United States)
Additional players considered in the study are as follows:
Minereye (Israel) , Pkware, Inc. (United States) , Informatica (United States) , Dataguise (United States) , Spirion (United States)
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