Global Data Virtualization

Data Virtualization Comprehensive Study by Type (Open Source Data Integration Tools, Cloud-based Data Integration Tools), Application (Small-Sized Enterprises, Medium-Sized Enterprise, Large Enterprises), Industry Vertical (Manufacturing, Healthcare, BFSI, Research and Academia, Media and Entertainment, Retail and E-commerce, Government and Defense, Telecom and IT, Others), End-Use (Business Intelligence Tools, Enterprise Applications, Mobile and Web Applications) Players and Region - Global Market Outlook to 2026

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

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Global Data Virtualization Market Overview:
Data virtualization is data integration technology. It contains data from multiple location formats and sources without duplicating the data to create a single "virtual" data layer that provides integrated data services to support a wide range of users and applications. Data virtualization can also be considered as a replacement for data warehousing and ETL (extracting, transforming, and loading). Data virtualization technology is an integral part of modern data architecture. This is primarily due to adaptability and the ability to quickly integrate new data sources and deliver information to business customers in real-time. It is widely used by companies to improve their IT infrastructure through competitive pricing, better performance, and a trusted environment. Companies are currently in high demand for data virtualization solutions because they can improve business operations and provide logical data warehousing and advanced data management capabilities. In contrast to the traditional extraction, transformation, and loading ("ETL") process, the data stays in place and real-time access to the source system is granted for the data. This reduces the risk of data errors and data shifting through the workload that may never be used, and no attempt is made to impose the data on a single data model (an example of heterogeneous data is a federated database system). The technology also supports writing transaction data updates back to the source systems. To correct differences in source and consumer formats and semantics, different abstraction and transformation techniques are used. This concept and software are a subset of data integration and are widely used in business intelligence, data services with a service-oriented architecture, cloud computing, enterprise search, and master data management. Some of the players profiled in the study are SAP SE (Germany), IBM Corporation (United States), Informatica LLC (United States), Denodo Technologies Inc. (United States), Amazon Web Services (United States), Cisco, Inc. (United States), Red Hat, Inc. (United States), TIBCO Software Inc. (United States), Oracle Corporation (United States), VMware, Inc. (United States), Microsoft Corporation (United States), SAS Institute (United States) and Information Builders (United States).

On the basis of geography, the market of Data Virtualization has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Industry Vertical, the sub-segment i.e. Manufacturing will boost the Data Virtualization market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by End-Use, the sub-segment i.e. Business Intelligence Tools will boost the Data Virtualization market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Growth Drivers
  • Rising Demand for Cost-Efficient Data Management Solutions among Enterprises In Order To Manage Huge Amount of Data Generated From Organizations on a Regular Basis
  • Increase in Generation of Huge Amounts of Data
  • Increasing Demand for Data Integration Software Tools
  • Increase in Adoption of Cloud-Based Solutions by Enterprises In Order To Enhance Their Business Processes

Influencing Trend
  • High Adoption of Data Virtualization Solutions Due To the Presence of Established Data Virtualization Solution Vendors
  • A Rise in Generation of Huge Amounts of Data through Increasing Digitalized Infrastructure

Restraints
  • Lack of Standardization in Enterprise Data Management

Opportunities
  • Rise In Demand for Business Intelligence Tools among Small And Medium Enterprises Is Anticipated To Create New Opportunities
  • Rapid Development and Innovation in the Field Of Data Management System
  • Growing Awareness among End-Users Are Expected To Create New Opportunities

Challenges
  • Reluctance among Enterprises to Invest In Advanced Solutions




The companies are now exploring the market by adopting mergers & acquisitions, expansions, investments, new developments in existing products, and collaborations as their preferred strategies. The players are also exploring new geographies and industries through expansions and acquisitions so as to avail a competitive advantage through combined synergies.

Target Audience:
Providers of Data Virtualization, End-Users, Potential Investors, Market Research Firms and Others

Major Objectives Focused through this Study
• To define, describe, and forecast the Global Data Virtualization market on the basis of product [Open Source Data Integration Tools and Cloud-based Data Integration Tools] , application [Small-Sized Enterprises, Medium-Sized Enterprise and Large Enterprises], 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 Virtualization 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 Virtualization 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 Gluent Inc. (United States) and Datometry Inc. (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 Virtualization market in various regions have been profiled, and their offerings, geographic footprints, and distribution/sales channels have been analysed through in-depth discussions. The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, analyst team keeps preparing set of questionnaires and after getting appointee list; the target audience are then tapped and segregated with various mediums and channels that are feasible for making connection that includes email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey etc.

Report Objectives / Segmentation Covered

By Type
  • Open Source Data Integration Tools
  • Cloud-based Data Integration Tools
By Application
  • Small-Sized Enterprises
  • Medium-Sized Enterprise
  • Large Enterprises
By Industry Vertical
  • Manufacturing
  • Healthcare
  • BFSI
  • Research and Academia
  • Media and Entertainment
  • Retail and E-commerce
  • Government and Defense
  • Telecom and IT
  • Others

By End-Use
  • Business Intelligence Tools
  • Enterprise Applications
  • Mobile and Web Applications

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. Rising Demand for Cost-Efficient Data Management Solutions among Enterprises In Order To Manage Huge Amount of Data Generated From Organizations on a Regular Basis
      • 3.2.2. Increase in Generation of Huge Amounts of Data
      • 3.2.3. Increasing Demand for Data Integration Software Tools
      • 3.2.4. Increase in Adoption of Cloud-Based Solutions by Enterprises In Order To Enhance Their Business Processes
    • 3.3. Market Challenges
      • 3.3.1. Reluctance among Enterprises to Invest In Advanced Solutions
    • 3.4. Market Trends
      • 3.4.1. High Adoption of Data Virtualization Solutions Due To the Presence of Established Data Virtualization Solution Vendors
      • 3.4.2. A Rise in Generation of Huge Amounts of Data through Increasing Digitalized Infrastructure
  • 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 Virtualization, by Type, Application, Industry Vertical, End-Use and Region (value and price ) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Data Virtualization (Value)
      • 5.2.1. Global Data Virtualization by: Type (Value)
        • 5.2.1.1. Open Source Data Integration Tools
        • 5.2.1.2. Cloud-based Data Integration Tools
      • 5.2.2. Global Data Virtualization by: Application (Value)
        • 5.2.2.1. Small-Sized Enterprises
        • 5.2.2.2. Medium-Sized Enterprise
        • 5.2.2.3. Large Enterprises
      • 5.2.3. Global Data Virtualization by: Industry Vertical (Value)
        • 5.2.3.1. Manufacturing
        • 5.2.3.2. Healthcare
        • 5.2.3.3. BFSI
        • 5.2.3.4. Research and Academia
        • 5.2.3.5. Media and Entertainment
        • 5.2.3.6. Retail and E-commerce
        • 5.2.3.7. Government and Defense
        • 5.2.3.8. Telecom and IT
        • 5.2.3.9. Others
      • 5.2.4. Global Data Virtualization by: End-Use (Value)
        • 5.2.4.1. Business Intelligence Tools
        • 5.2.4.2. Enterprise Applications
        • 5.2.4.3. Mobile and Web Applications
      • 5.2.5. Global Data Virtualization Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global Data Virtualization (Price)
      • 5.3.1. Global Data Virtualization by: Type (Price)
  • 6. Data Virtualization: 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. SAP SE (Germany)
        • 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. IBM 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. Informatica LLC (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. Denodo Technologies 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. Amazon Web Services (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. Cisco, Inc. (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Red Hat, Inc. (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. TIBCO Software Inc. (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Oracle Corporation (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. VMware, 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
      • 6.4.11. Microsoft Corporation (United States)
        • 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. SAS Institute (United States)
        • 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. Information Builders (United States)
        • 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 Data Virtualization Sale, by Type, Application, Industry Vertical, End-Use and Region (value and price ) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Data Virtualization (Value)
      • 7.2.1. Global Data Virtualization by: Type (Value)
        • 7.2.1.1. Open Source Data Integration Tools
        • 7.2.1.2. Cloud-based Data Integration Tools
      • 7.2.2. Global Data Virtualization by: Application (Value)
        • 7.2.2.1. Small-Sized Enterprises
        • 7.2.2.2. Medium-Sized Enterprise
        • 7.2.2.3. Large Enterprises
      • 7.2.3. Global Data Virtualization by: Industry Vertical (Value)
        • 7.2.3.1. Manufacturing
        • 7.2.3.2. Healthcare
        • 7.2.3.3. BFSI
        • 7.2.3.4. Research and Academia
        • 7.2.3.5. Media and Entertainment
        • 7.2.3.6. Retail and E-commerce
        • 7.2.3.7. Government and Defense
        • 7.2.3.8. Telecom and IT
        • 7.2.3.9. Others
      • 7.2.4. Global Data Virtualization by: End-Use (Value)
        • 7.2.4.1. Business Intelligence Tools
        • 7.2.4.2. Enterprise Applications
        • 7.2.4.3. Mobile and Web Applications
      • 7.2.5. Global Data Virtualization Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global Data Virtualization (Price)
      • 7.3.1. Global Data Virtualization by: Type (Price)
  • 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 Virtualization: by Type(USD Million)
  • Table 2. Data Virtualization Open Source Data Integration Tools , by Region USD Million (2015-2020)
  • Table 3. Data Virtualization Cloud-based Data Integration Tools , by Region USD Million (2015-2020)
  • Table 4. Data Virtualization: by Application(USD Million)
  • Table 5. Data Virtualization Small-Sized Enterprises , by Region USD Million (2015-2020)
  • Table 6. Data Virtualization Medium-Sized Enterprise , by Region USD Million (2015-2020)
  • Table 7. Data Virtualization Large Enterprises , by Region USD Million (2015-2020)
  • Table 8. Data Virtualization: by Industry Vertical(USD Million)
  • Table 9. Data Virtualization Manufacturing , by Region USD Million (2015-2020)
  • Table 10. Data Virtualization Healthcare , by Region USD Million (2015-2020)
  • Table 11. Data Virtualization BFSI , by Region USD Million (2015-2020)
  • Table 12. Data Virtualization Research and Academia , by Region USD Million (2015-2020)
  • Table 13. Data Virtualization Media and Entertainment , by Region USD Million (2015-2020)
  • Table 14. Data Virtualization Retail and E-commerce , by Region USD Million (2015-2020)
  • Table 15. Data Virtualization Government and Defense , by Region USD Million (2015-2020)
  • Table 16. Data Virtualization Telecom and IT , by Region USD Million (2015-2020)
  • Table 17. Data Virtualization Others , by Region USD Million (2015-2020)
  • Table 18. Data Virtualization: by End-Use(USD Million)
  • Table 19. Data Virtualization Business Intelligence Tools , by Region USD Million (2015-2020)
  • Table 20. Data Virtualization Enterprise Applications , by Region USD Million (2015-2020)
  • Table 21. Data Virtualization Mobile and Web Applications , by Region USD Million (2015-2020)
  • Table 22. South America Data Virtualization, by Country USD Million (2015-2020)
  • Table 23. South America Data Virtualization, by Type USD Million (2015-2020)
  • Table 24. South America Data Virtualization, by Application USD Million (2015-2020)
  • Table 25. South America Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 26. South America Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 27. Brazil Data Virtualization, by Type USD Million (2015-2020)
  • Table 28. Brazil Data Virtualization, by Application USD Million (2015-2020)
  • Table 29. Brazil Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 30. Brazil Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 31. Argentina Data Virtualization, by Type USD Million (2015-2020)
  • Table 32. Argentina Data Virtualization, by Application USD Million (2015-2020)
  • Table 33. Argentina Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 34. Argentina Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 35. Rest of South America Data Virtualization, by Type USD Million (2015-2020)
  • Table 36. Rest of South America Data Virtualization, by Application USD Million (2015-2020)
  • Table 37. Rest of South America Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 38. Rest of South America Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 39. Asia Pacific Data Virtualization, by Country USD Million (2015-2020)
  • Table 40. Asia Pacific Data Virtualization, by Type USD Million (2015-2020)
  • Table 41. Asia Pacific Data Virtualization, by Application USD Million (2015-2020)
  • Table 42. Asia Pacific Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 43. Asia Pacific Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 44. China Data Virtualization, by Type USD Million (2015-2020)
  • Table 45. China Data Virtualization, by Application USD Million (2015-2020)
  • Table 46. China Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 47. China Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 48. Japan Data Virtualization, by Type USD Million (2015-2020)
  • Table 49. Japan Data Virtualization, by Application USD Million (2015-2020)
  • Table 50. Japan Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 51. Japan Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 52. India Data Virtualization, by Type USD Million (2015-2020)
  • Table 53. India Data Virtualization, by Application USD Million (2015-2020)
  • Table 54. India Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 55. India Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 56. South Korea Data Virtualization, by Type USD Million (2015-2020)
  • Table 57. South Korea Data Virtualization, by Application USD Million (2015-2020)
  • Table 58. South Korea Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 59. South Korea Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 60. Taiwan Data Virtualization, by Type USD Million (2015-2020)
  • Table 61. Taiwan Data Virtualization, by Application USD Million (2015-2020)
  • Table 62. Taiwan Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 63. Taiwan Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 64. Australia Data Virtualization, by Type USD Million (2015-2020)
  • Table 65. Australia Data Virtualization, by Application USD Million (2015-2020)
  • Table 66. Australia Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 67. Australia Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 68. Rest of Asia-Pacific Data Virtualization, by Type USD Million (2015-2020)
  • Table 69. Rest of Asia-Pacific Data Virtualization, by Application USD Million (2015-2020)
  • Table 70. Rest of Asia-Pacific Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 71. Rest of Asia-Pacific Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 72. Europe Data Virtualization, by Country USD Million (2015-2020)
  • Table 73. Europe Data Virtualization, by Type USD Million (2015-2020)
  • Table 74. Europe Data Virtualization, by Application USD Million (2015-2020)
  • Table 75. Europe Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 76. Europe Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 77. Germany Data Virtualization, by Type USD Million (2015-2020)
  • Table 78. Germany Data Virtualization, by Application USD Million (2015-2020)
  • Table 79. Germany Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 80. Germany Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 81. France Data Virtualization, by Type USD Million (2015-2020)
  • Table 82. France Data Virtualization, by Application USD Million (2015-2020)
  • Table 83. France Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 84. France Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 85. Italy Data Virtualization, by Type USD Million (2015-2020)
  • Table 86. Italy Data Virtualization, by Application USD Million (2015-2020)
  • Table 87. Italy Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 88. Italy Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 89. United Kingdom Data Virtualization, by Type USD Million (2015-2020)
  • Table 90. United Kingdom Data Virtualization, by Application USD Million (2015-2020)
  • Table 91. United Kingdom Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 92. United Kingdom Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 93. Netherlands Data Virtualization, by Type USD Million (2015-2020)
  • Table 94. Netherlands Data Virtualization, by Application USD Million (2015-2020)
  • Table 95. Netherlands Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 96. Netherlands Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 97. Rest of Europe Data Virtualization, by Type USD Million (2015-2020)
  • Table 98. Rest of Europe Data Virtualization, by Application USD Million (2015-2020)
  • Table 99. Rest of Europe Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 100. Rest of Europe Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 101. MEA Data Virtualization, by Country USD Million (2015-2020)
  • Table 102. MEA Data Virtualization, by Type USD Million (2015-2020)
  • Table 103. MEA Data Virtualization, by Application USD Million (2015-2020)
  • Table 104. MEA Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 105. MEA Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 106. Middle East Data Virtualization, by Type USD Million (2015-2020)
  • Table 107. Middle East Data Virtualization, by Application USD Million (2015-2020)
  • Table 108. Middle East Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 109. Middle East Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 110. Africa Data Virtualization, by Type USD Million (2015-2020)
  • Table 111. Africa Data Virtualization, by Application USD Million (2015-2020)
  • Table 112. Africa Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 113. Africa Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 114. North America Data Virtualization, by Country USD Million (2015-2020)
  • Table 115. North America Data Virtualization, by Type USD Million (2015-2020)
  • Table 116. North America Data Virtualization, by Application USD Million (2015-2020)
  • Table 117. North America Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 118. North America Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 119. United States Data Virtualization, by Type USD Million (2015-2020)
  • Table 120. United States Data Virtualization, by Application USD Million (2015-2020)
  • Table 121. United States Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 122. United States Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 123. Canada Data Virtualization, by Type USD Million (2015-2020)
  • Table 124. Canada Data Virtualization, by Application USD Million (2015-2020)
  • Table 125. Canada Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 126. Canada Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 127. Mexico Data Virtualization, by Type USD Million (2015-2020)
  • Table 128. Mexico Data Virtualization, by Application USD Million (2015-2020)
  • Table 129. Mexico Data Virtualization, by Industry Vertical USD Million (2015-2020)
  • Table 130. Mexico Data Virtualization, by End-Use USD Million (2015-2020)
  • Table 131. Data Virtualization: by Type(USD/Units)
  • 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. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Company Basic Information, Sales Area and Its Competitors
  • Table 141. Company Basic Information, Sales Area and Its Competitors
  • Table 142. Company Basic Information, Sales Area and Its Competitors
  • Table 143. Company Basic Information, Sales Area and Its Competitors
  • Table 144. Company Basic Information, Sales Area and Its Competitors
  • Table 145. Data Virtualization: by Type(USD Million)
  • Table 146. Data Virtualization Open Source Data Integration Tools , by Region USD Million (2021-2026)
  • Table 147. Data Virtualization Cloud-based Data Integration Tools , by Region USD Million (2021-2026)
  • Table 148. Data Virtualization: by Application(USD Million)
  • Table 149. Data Virtualization Small-Sized Enterprises , by Region USD Million (2021-2026)
  • Table 150. Data Virtualization Medium-Sized Enterprise , by Region USD Million (2021-2026)
  • Table 151. Data Virtualization Large Enterprises , by Region USD Million (2021-2026)
  • Table 152. Data Virtualization: by Industry Vertical(USD Million)
  • Table 153. Data Virtualization Manufacturing , by Region USD Million (2021-2026)
  • Table 154. Data Virtualization Healthcare , by Region USD Million (2021-2026)
  • Table 155. Data Virtualization BFSI , by Region USD Million (2021-2026)
  • Table 156. Data Virtualization Research and Academia , by Region USD Million (2021-2026)
  • Table 157. Data Virtualization Media and Entertainment , by Region USD Million (2021-2026)
  • Table 158. Data Virtualization Retail and E-commerce , by Region USD Million (2021-2026)
  • Table 159. Data Virtualization Government and Defense , by Region USD Million (2021-2026)
  • Table 160. Data Virtualization Telecom and IT , by Region USD Million (2021-2026)
  • Table 161. Data Virtualization Others , by Region USD Million (2021-2026)
  • Table 162. Data Virtualization: by End-Use(USD Million)
  • Table 163. Data Virtualization Business Intelligence Tools , by Region USD Million (2021-2026)
  • Table 164. Data Virtualization Enterprise Applications , by Region USD Million (2021-2026)
  • Table 165. Data Virtualization Mobile and Web Applications , by Region USD Million (2021-2026)
  • Table 166. South America Data Virtualization, by Country USD Million (2021-2026)
  • Table 167. South America Data Virtualization, by Type USD Million (2021-2026)
  • Table 168. South America Data Virtualization, by Application USD Million (2021-2026)
  • Table 169. South America Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 170. South America Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 171. Brazil Data Virtualization, by Type USD Million (2021-2026)
  • Table 172. Brazil Data Virtualization, by Application USD Million (2021-2026)
  • Table 173. Brazil Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 174. Brazil Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 175. Argentina Data Virtualization, by Type USD Million (2021-2026)
  • Table 176. Argentina Data Virtualization, by Application USD Million (2021-2026)
  • Table 177. Argentina Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 178. Argentina Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 179. Rest of South America Data Virtualization, by Type USD Million (2021-2026)
  • Table 180. Rest of South America Data Virtualization, by Application USD Million (2021-2026)
  • Table 181. Rest of South America Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 182. Rest of South America Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 183. Asia Pacific Data Virtualization, by Country USD Million (2021-2026)
  • Table 184. Asia Pacific Data Virtualization, by Type USD Million (2021-2026)
  • Table 185. Asia Pacific Data Virtualization, by Application USD Million (2021-2026)
  • Table 186. Asia Pacific Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 187. Asia Pacific Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 188. China Data Virtualization, by Type USD Million (2021-2026)
  • Table 189. China Data Virtualization, by Application USD Million (2021-2026)
  • Table 190. China Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 191. China Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 192. Japan Data Virtualization, by Type USD Million (2021-2026)
  • Table 193. Japan Data Virtualization, by Application USD Million (2021-2026)
  • Table 194. Japan Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 195. Japan Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 196. India Data Virtualization, by Type USD Million (2021-2026)
  • Table 197. India Data Virtualization, by Application USD Million (2021-2026)
  • Table 198. India Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 199. India Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 200. South Korea Data Virtualization, by Type USD Million (2021-2026)
  • Table 201. South Korea Data Virtualization, by Application USD Million (2021-2026)
  • Table 202. South Korea Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 203. South Korea Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 204. Taiwan Data Virtualization, by Type USD Million (2021-2026)
  • Table 205. Taiwan Data Virtualization, by Application USD Million (2021-2026)
  • Table 206. Taiwan Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 207. Taiwan Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 208. Australia Data Virtualization, by Type USD Million (2021-2026)
  • Table 209. Australia Data Virtualization, by Application USD Million (2021-2026)
  • Table 210. Australia Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 211. Australia Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 212. Rest of Asia-Pacific Data Virtualization, by Type USD Million (2021-2026)
  • Table 213. Rest of Asia-Pacific Data Virtualization, by Application USD Million (2021-2026)
  • Table 214. Rest of Asia-Pacific Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 215. Rest of Asia-Pacific Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 216. Europe Data Virtualization, by Country USD Million (2021-2026)
  • Table 217. Europe Data Virtualization, by Type USD Million (2021-2026)
  • Table 218. Europe Data Virtualization, by Application USD Million (2021-2026)
  • Table 219. Europe Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 220. Europe Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 221. Germany Data Virtualization, by Type USD Million (2021-2026)
  • Table 222. Germany Data Virtualization, by Application USD Million (2021-2026)
  • Table 223. Germany Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 224. Germany Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 225. France Data Virtualization, by Type USD Million (2021-2026)
  • Table 226. France Data Virtualization, by Application USD Million (2021-2026)
  • Table 227. France Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 228. France Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 229. Italy Data Virtualization, by Type USD Million (2021-2026)
  • Table 230. Italy Data Virtualization, by Application USD Million (2021-2026)
  • Table 231. Italy Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 232. Italy Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 233. United Kingdom Data Virtualization, by Type USD Million (2021-2026)
  • Table 234. United Kingdom Data Virtualization, by Application USD Million (2021-2026)
  • Table 235. United Kingdom Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 236. United Kingdom Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 237. Netherlands Data Virtualization, by Type USD Million (2021-2026)
  • Table 238. Netherlands Data Virtualization, by Application USD Million (2021-2026)
  • Table 239. Netherlands Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 240. Netherlands Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 241. Rest of Europe Data Virtualization, by Type USD Million (2021-2026)
  • Table 242. Rest of Europe Data Virtualization, by Application USD Million (2021-2026)
  • Table 243. Rest of Europe Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 244. Rest of Europe Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 245. MEA Data Virtualization, by Country USD Million (2021-2026)
  • Table 246. MEA Data Virtualization, by Type USD Million (2021-2026)
  • Table 247. MEA Data Virtualization, by Application USD Million (2021-2026)
  • Table 248. MEA Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 249. MEA Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 250. Middle East Data Virtualization, by Type USD Million (2021-2026)
  • Table 251. Middle East Data Virtualization, by Application USD Million (2021-2026)
  • Table 252. Middle East Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 253. Middle East Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 254. Africa Data Virtualization, by Type USD Million (2021-2026)
  • Table 255. Africa Data Virtualization, by Application USD Million (2021-2026)
  • Table 256. Africa Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 257. Africa Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 258. North America Data Virtualization, by Country USD Million (2021-2026)
  • Table 259. North America Data Virtualization, by Type USD Million (2021-2026)
  • Table 260. North America Data Virtualization, by Application USD Million (2021-2026)
  • Table 261. North America Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 262. North America Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 263. United States Data Virtualization, by Type USD Million (2021-2026)
  • Table 264. United States Data Virtualization, by Application USD Million (2021-2026)
  • Table 265. United States Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 266. United States Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 267. Canada Data Virtualization, by Type USD Million (2021-2026)
  • Table 268. Canada Data Virtualization, by Application USD Million (2021-2026)
  • Table 269. Canada Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 270. Canada Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 271. Mexico Data Virtualization, by Type USD Million (2021-2026)
  • Table 272. Mexico Data Virtualization, by Application USD Million (2021-2026)
  • Table 273. Mexico Data Virtualization, by Industry Vertical USD Million (2021-2026)
  • Table 274. Mexico Data Virtualization, by End-Use USD Million (2021-2026)
  • Table 275. Data Virtualization: by Type(USD/Units)
  • Table 276. Research Programs/Design for This Report
  • Table 277. Key Data Information from Secondary Sources
  • Table 278. 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 Virtualization: by Type USD Million (2015-2020)
  • Figure 5. Global Data Virtualization: by Application USD Million (2015-2020)
  • Figure 6. Global Data Virtualization: by Industry Vertical USD Million (2015-2020)
  • Figure 7. Global Data Virtualization: by End-Use USD Million (2015-2020)
  • Figure 8. South America Data Virtualization Share (%), by Country
  • Figure 9. Asia Pacific Data Virtualization Share (%), by Country
  • Figure 10. Europe Data Virtualization Share (%), by Country
  • Figure 11. MEA Data Virtualization Share (%), by Country
  • Figure 12. North America Data Virtualization Share (%), by Country
  • Figure 13. Global Data Virtualization: by Type USD/Units (2015-2020)
  • Figure 14. Global Data Virtualization share by Players 2020 (%)
  • Figure 15. Global Data Virtualization share by Players (Top 3) 2020(%)
  • Figure 16. Global Data Virtualization share by Players (Top 5) 2020(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. SAP SE (Germany) Revenue, Net Income and Gross profit
  • Figure 19. SAP SE (Germany) Revenue: by Geography 2020
  • Figure 20. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 21. IBM Corporation (United States) Revenue: by Geography 2020
  • Figure 22. Informatica LLC (United States) Revenue, Net Income and Gross profit
  • Figure 23. Informatica LLC (United States) Revenue: by Geography 2020
  • Figure 24. Denodo Technologies Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 25. Denodo Technologies Inc. (United States) Revenue: by Geography 2020
  • Figure 26. Amazon Web Services (United States) Revenue, Net Income and Gross profit
  • Figure 27. Amazon Web Services (United States) Revenue: by Geography 2020
  • Figure 28. Cisco, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 29. Cisco, Inc. (United States) Revenue: by Geography 2020
  • Figure 30. Red Hat, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 31. Red Hat, Inc. (United States) Revenue: by Geography 2020
  • Figure 32. TIBCO Software Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 33. TIBCO Software Inc. (United States) Revenue: by Geography 2020
  • Figure 34. Oracle Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 35. Oracle Corporation (United States) Revenue: by Geography 2020
  • Figure 36. VMware, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 37. VMware, Inc. (United States) Revenue: by Geography 2020
  • Figure 38. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 39. Microsoft Corporation (United States) Revenue: by Geography 2020
  • Figure 40. SAS Institute (United States) Revenue, Net Income and Gross profit
  • Figure 41. SAS Institute (United States) Revenue: by Geography 2020
  • Figure 42. Information Builders (United States) Revenue, Net Income and Gross profit
  • Figure 43. Information Builders (United States) Revenue: by Geography 2020
  • Figure 44. Global Data Virtualization: by Type USD Million (2021-2026)
  • Figure 45. Global Data Virtualization: by Application USD Million (2021-2026)
  • Figure 46. Global Data Virtualization: by Industry Vertical USD Million (2021-2026)
  • Figure 47. Global Data Virtualization: by End-Use USD Million (2021-2026)
  • Figure 48. South America Data Virtualization Share (%), by Country
  • Figure 49. Asia Pacific Data Virtualization Share (%), by Country
  • Figure 50. Europe Data Virtualization Share (%), by Country
  • Figure 51. MEA Data Virtualization Share (%), by Country
  • Figure 52. North America Data Virtualization Share (%), by Country
  • Figure 53. Global Data Virtualization: by Type USD/Units (2021-2026)
List of companies from research coverage that are profiled in the study
  • SAP SE (Germany)
  • IBM Corporation (United States)
  • Informatica LLC (United States)
  • Denodo Technologies Inc. (United States)
  • Amazon Web Services (United States)
  • Cisco, Inc. (United States)
  • Red Hat, Inc. (United States)
  • TIBCO Software Inc. (United States)
  • Oracle Corporation (United States)
  • VMware, Inc. (United States)
  • Microsoft Corporation (United States)
  • SAS Institute (United States)
  • Information Builders (United States)
Additional players considered in the study are as follows:
Gluent Inc. (United States) , Datometry Inc. (United States)
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