Global Data Warehouse as a Service Market
Global Data Warehouse as a Service Market

Data Warehouse as a Service Comprehensive Study by Type (Enterprise Data Warehouse as a Service, Operational Data Storage, Others), Application (Customer Analytics, Risk and Compliance Management, Asset Management, Supply Chain Management, Fraud Detection and Threat Management, Others) Players and Region - Global Market Outlook to 2025

Data Warehouse as a Service Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025  

Dec 2020 Edition 217 Pages 161 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Global Data Warehouse as a Service Market Overview:
Data warehouse as a service is an important tool of business intelligence for analyzing and recording of huge data. Data warehouse stores historic and current data on solo platform reducing fraudulent activities in different operational process such as logistics, transportation and distribution. and Acceptance of cloud based cost effective solution to manage enterprise data and fraud detection are expected to drive the data warehouse market. Some of the players profiled in the study are IBM (United States), AWS Inc. (United States), Google (United States), Oracle Corporation (United States), Microsoft Corporation(United States), Snowflake Computing Inc. (United States), Teradata Corporation (United States), SAP SE (Germany), Micro Focus International plc (United Kingdom), Hortonworks Inc. (United States), Cloudera (United States), Actian Corporation (United States), 1010data Inc. (United States), Pivotal Software Inc. (United States) and Solver Inc. (United States).

On the basis of geography, the market of Data Warehouse as a Service 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 2019.

Market Growth Drivers
  • Increasing usage of Column-Oriented Data
  • Growing Demand for Private Cloud Services
  • Rising Demand for Big Data

Influencing Trend
  • Increasing Adoption of Organized and Effective Arrangement of Data

Restraints
  • Lack of Skilled Workforce to Adopt New Technology

Opportunities
  • Increasing Application of Artificial Intelligence

Challenges
  • Concern Regarding Cloud Data Safety


In December 2018, Snowflake declared the general accessibility of Microsoft Azure service for query handling and data storage in European Medical Agency.


Target Audience:
Banking, Financial Services, and Insurance, Retail and E commerce, Government organizations, Research Organizations, Market Research and Consulting Companies and Others

Major Objectives Focused through this Study
• To define, describe, and forecast the Global Data Warehouse as a Service market on the basis of product [Enterprise Data Warehouse as a Service, Operational Data Storage and Others] , application [Customer Analytics, Risk and Compliance Management, Asset Management, Supply Chain Management, Fraud Detection and Threat Management and Others], 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 Warehouse as a Service 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 Warehouse as a Service 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 Mark Logic Corporation (United States) and MemSQL 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 Warehouse as a Service 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
  • Enterprise Data Warehouse as a Service
  • Operational Data Storage
  • Others
By Application
  • Customer Analytics
  • Risk and Compliance Management
  • Asset Management
  • Supply Chain Management
  • Fraud Detection and Threat Management
  • Others
By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Increasing usage of Column-Oriented Data
      • 3.2.2. Growing Demand for Private Cloud Services
      • 3.2.3. Rising Demand for Big Data
    • 3.3. Market Challenges
      • 3.3.1. Concern Regarding Cloud Data Safety
    • 3.4. Market Trends
      • 3.4.1. Increasing Adoption of Organized and Effective Arrangement of Data
  • 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 Warehouse as a Service, by Type, Application and Region (value) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global Data Warehouse as a Service (Value)
      • 5.2.1. Global Data Warehouse as a Service by: Type (Value)
        • 5.2.1.1. Enterprise Data Warehouse as a Service
        • 5.2.1.2. Operational Data Storage
        • 5.2.1.3. Others
      • 5.2.2. Global Data Warehouse as a Service by: Application (Value)
        • 5.2.2.1. Customer Analytics
        • 5.2.2.2. Risk and Compliance Management
        • 5.2.2.3. Asset Management
        • 5.2.2.4. Supply Chain Management
        • 5.2.2.5. Fraud Detection and Threat Management
        • 5.2.2.6. Others
      • 5.2.3. Global Data Warehouse as a Service Region
        • 5.2.3.1. South America
          • 5.2.3.1.1. Brazil
          • 5.2.3.1.2. Argentina
          • 5.2.3.1.3. Rest of South America
        • 5.2.3.2. Asia Pacific
          • 5.2.3.2.1. China
          • 5.2.3.2.2. Japan
          • 5.2.3.2.3. India
          • 5.2.3.2.4. South Korea
          • 5.2.3.2.5. Taiwan
          • 5.2.3.2.6. Australia
          • 5.2.3.2.7. Rest of Asia-Pacific
        • 5.2.3.3. Europe
          • 5.2.3.3.1. Germany
          • 5.2.3.3.2. France
          • 5.2.3.3.3. Italy
          • 5.2.3.3.4. United Kingdom
          • 5.2.3.3.5. Netherlands
          • 5.2.3.3.6. Rest of Europe
        • 5.2.3.4. MEA
          • 5.2.3.4.1. Middle East
          • 5.2.3.4.2. Africa
        • 5.2.3.5. North America
          • 5.2.3.5.1. United States
          • 5.2.3.5.2. Canada
          • 5.2.3.5.3. Mexico
  • 6. Data Warehouse as a Service: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2019)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. 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. AWS Inc. (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Google (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. Oracle Corporation (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Microsoft Corporation(United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Snowflake Computing 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. Teradata Corporation (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. SAP SE (Germany)
        • 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. Micro Focus International plc (United Kingdom)
        • 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. Hortonworks 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. Cloudera (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. Actian Corporation (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. 1010data Inc. (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
      • 6.4.14. Pivotal Software Inc. (United States)
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
      • 6.4.15. Solver Inc. (United States)
        • 6.4.15.1. Business Overview
        • 6.4.15.2. Products/Services Offerings
        • 6.4.15.3. Financial Analysis
        • 6.4.15.4. SWOT Analysis
  • 7. Global Data Warehouse as a Service Sale, by Type, Application and Region (value) (2020-2025)
    • 7.1. Introduction
    • 7.2. Global Data Warehouse as a Service (Value)
      • 7.2.1. Global Data Warehouse as a Service by: Type (Value)
        • 7.2.1.1. Enterprise Data Warehouse as a Service
        • 7.2.1.2. Operational Data Storage
        • 7.2.1.3. Others
      • 7.2.2. Global Data Warehouse as a Service by: Application (Value)
        • 7.2.2.1. Customer Analytics
        • 7.2.2.2. Risk and Compliance Management
        • 7.2.2.3. Asset Management
        • 7.2.2.4. Supply Chain Management
        • 7.2.2.5. Fraud Detection and Threat Management
        • 7.2.2.6. Others
      • 7.2.3. Global Data Warehouse as a Service Region
        • 7.2.3.1. South America
          • 7.2.3.1.1. Brazil
          • 7.2.3.1.2. Argentina
          • 7.2.3.1.3. Rest of South America
        • 7.2.3.2. Asia Pacific
          • 7.2.3.2.1. China
          • 7.2.3.2.2. Japan
          • 7.2.3.2.3. India
          • 7.2.3.2.4. South Korea
          • 7.2.3.2.5. Taiwan
          • 7.2.3.2.6. Australia
          • 7.2.3.2.7. Rest of Asia-Pacific
        • 7.2.3.3. Europe
          • 7.2.3.3.1. Germany
          • 7.2.3.3.2. France
          • 7.2.3.3.3. Italy
          • 7.2.3.3.4. United Kingdom
          • 7.2.3.3.5. Netherlands
          • 7.2.3.3.6. Rest of Europe
        • 7.2.3.4. MEA
          • 7.2.3.4.1. Middle East
          • 7.2.3.4.2. Africa
        • 7.2.3.5. North America
          • 7.2.3.5.1. United States
          • 7.2.3.5.2. Canada
          • 7.2.3.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Data Warehouse as a Service: by Type(USD Million)
  • Table 2. Data Warehouse as a Service Enterprise Data Warehouse as a Service , by Region USD Million (2014-2019)
  • Table 3. Data Warehouse as a Service Operational Data Storage , by Region USD Million (2014-2019)
  • Table 4. Data Warehouse as a Service Others , by Region USD Million (2014-2019)
  • Table 5. Data Warehouse as a Service: by Application(USD Million)
  • Table 6. Data Warehouse as a Service Customer Analytics , by Region USD Million (2014-2019)
  • Table 7. Data Warehouse as a Service Risk and Compliance Management , by Region USD Million (2014-2019)
  • Table 8. Data Warehouse as a Service Asset Management , by Region USD Million (2014-2019)
  • Table 9. Data Warehouse as a Service Supply Chain Management , by Region USD Million (2014-2019)
  • Table 10. Data Warehouse as a Service Fraud Detection and Threat Management , by Region USD Million (2014-2019)
  • Table 11. Data Warehouse as a Service Others , by Region USD Million (2014-2019)
  • Table 12. South America Data Warehouse as a Service, by Country USD Million (2014-2019)
  • Table 13. South America Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 14. South America Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 15. Brazil Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 16. Brazil Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 17. Argentina Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 18. Argentina Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 19. Rest of South America Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 20. Rest of South America Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 21. Asia Pacific Data Warehouse as a Service, by Country USD Million (2014-2019)
  • Table 22. Asia Pacific Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 23. Asia Pacific Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 24. China Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 25. China Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 26. Japan Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 27. Japan Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 28. India Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 29. India Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 30. South Korea Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 31. South Korea Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 32. Taiwan Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 33. Taiwan Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 34. Australia Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 35. Australia Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 36. Rest of Asia-Pacific Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 37. Rest of Asia-Pacific Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 38. Europe Data Warehouse as a Service, by Country USD Million (2014-2019)
  • Table 39. Europe Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 40. Europe Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 41. Germany Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 42. Germany Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 43. France Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 44. France Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 45. Italy Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 46. Italy Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 47. United Kingdom Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 48. United Kingdom Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 49. Netherlands Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 50. Netherlands Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 51. Rest of Europe Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 52. Rest of Europe Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 53. MEA Data Warehouse as a Service, by Country USD Million (2014-2019)
  • Table 54. MEA Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 55. MEA Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 56. Middle East Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 57. Middle East Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 58. Africa Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 59. Africa Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 60. North America Data Warehouse as a Service, by Country USD Million (2014-2019)
  • Table 61. North America Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 62. North America Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 63. United States Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 64. United States Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 65. Canada Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 66. Canada Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 67. Mexico Data Warehouse as a Service, by Type USD Million (2014-2019)
  • Table 68. Mexico Data Warehouse as a Service, by Application USD Million (2014-2019)
  • Table 69. Company Basic Information, Sales Area and Its Competitors
  • Table 70. Company Basic Information, Sales Area and Its Competitors
  • Table 71. Company Basic Information, Sales Area and Its Competitors
  • Table 72. Company Basic Information, Sales Area and Its Competitors
  • Table 73. Company Basic Information, Sales Area and Its Competitors
  • Table 74. Company Basic Information, Sales Area and Its Competitors
  • Table 75. Company Basic Information, Sales Area and Its Competitors
  • Table 76. Company Basic Information, Sales Area and Its Competitors
  • Table 77. Company Basic Information, Sales Area and Its Competitors
  • Table 78. Company Basic Information, Sales Area and Its Competitors
  • Table 79. Company Basic Information, Sales Area and Its Competitors
  • Table 80. Company Basic Information, Sales Area and Its Competitors
  • Table 81. Company Basic Information, Sales Area and Its Competitors
  • Table 82. Company Basic Information, Sales Area and Its Competitors
  • Table 83. Company Basic Information, Sales Area and Its Competitors
  • Table 84. Data Warehouse as a Service: by Type(USD Million)
  • Table 85. Data Warehouse as a Service Enterprise Data Warehouse as a Service , by Region USD Million (2020-2025)
  • Table 86. Data Warehouse as a Service Operational Data Storage , by Region USD Million (2020-2025)
  • Table 87. Data Warehouse as a Service Others , by Region USD Million (2020-2025)
  • Table 88. Data Warehouse as a Service: by Application(USD Million)
  • Table 89. Data Warehouse as a Service Customer Analytics , by Region USD Million (2020-2025)
  • Table 90. Data Warehouse as a Service Risk and Compliance Management , by Region USD Million (2020-2025)
  • Table 91. Data Warehouse as a Service Asset Management , by Region USD Million (2020-2025)
  • Table 92. Data Warehouse as a Service Supply Chain Management , by Region USD Million (2020-2025)
  • Table 93. Data Warehouse as a Service Fraud Detection and Threat Management , by Region USD Million (2020-2025)
  • Table 94. Data Warehouse as a Service Others , by Region USD Million (2020-2025)
  • Table 95. South America Data Warehouse as a Service, by Country USD Million (2020-2025)
  • Table 96. South America Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 97. South America Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 98. Brazil Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 99. Brazil Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 100. Argentina Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 101. Argentina Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 102. Rest of South America Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 103. Rest of South America Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 104. Asia Pacific Data Warehouse as a Service, by Country USD Million (2020-2025)
  • Table 105. Asia Pacific Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 106. Asia Pacific Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 107. China Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 108. China Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 109. Japan Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 110. Japan Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 111. India Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 112. India Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 113. South Korea Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 114. South Korea Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 115. Taiwan Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 116. Taiwan Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 117. Australia Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 118. Australia Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 119. Rest of Asia-Pacific Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 120. Rest of Asia-Pacific Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 121. Europe Data Warehouse as a Service, by Country USD Million (2020-2025)
  • Table 122. Europe Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 123. Europe Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 124. Germany Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 125. Germany Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 126. France Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 127. France Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 128. Italy Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 129. Italy Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 130. United Kingdom Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 131. United Kingdom Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 132. Netherlands Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 133. Netherlands Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 134. Rest of Europe Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 135. Rest of Europe Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 136. MEA Data Warehouse as a Service, by Country USD Million (2020-2025)
  • Table 137. MEA Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 138. MEA Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 139. Middle East Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 140. Middle East Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 141. Africa Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 142. Africa Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 143. North America Data Warehouse as a Service, by Country USD Million (2020-2025)
  • Table 144. North America Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 145. North America Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 146. United States Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 147. United States Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 148. Canada Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 149. Canada Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 150. Mexico Data Warehouse as a Service, by Type USD Million (2020-2025)
  • Table 151. Mexico Data Warehouse as a Service, by Application USD Million (2020-2025)
  • Table 152. Research Programs/Design for This Report
  • Table 153. Key Data Information from Secondary Sources
  • Table 154. 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 Warehouse as a Service: by Type USD Million (2014-2019)
  • Figure 5. Global Data Warehouse as a Service: by Application USD Million (2014-2019)
  • Figure 6. South America Data Warehouse as a Service Share (%), by Country
  • Figure 7. Asia Pacific Data Warehouse as a Service Share (%), by Country
  • Figure 8. Europe Data Warehouse as a Service Share (%), by Country
  • Figure 9. MEA Data Warehouse as a Service Share (%), by Country
  • Figure 10. North America Data Warehouse as a Service Share (%), by Country
  • Figure 11. Global Data Warehouse as a Service share by Players 2019 (%)
  • Figure 12. Global Data Warehouse as a Service share by Players (Top 3) 2019(%)
  • Figure 13. Global Data Warehouse as a Service share by Players (Top 5) 2019(%)
  • Figure 14. BCG Matrix for key Companies
  • Figure 15. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 16. IBM (United States) Revenue: by Geography 2019
  • Figure 17. AWS Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 18. AWS Inc. (United States) Revenue: by Geography 2019
  • Figure 19. Google (United States) Revenue, Net Income and Gross profit
  • Figure 20. Google (United States) Revenue: by Geography 2019
  • Figure 21. Oracle Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 22. Oracle Corporation (United States) Revenue: by Geography 2019
  • Figure 23. Microsoft Corporation(United States) Revenue, Net Income and Gross profit
  • Figure 24. Microsoft Corporation(United States) Revenue: by Geography 2019
  • Figure 25. Snowflake Computing Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 26. Snowflake Computing Inc. (United States) Revenue: by Geography 2019
  • Figure 27. Teradata Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 28. Teradata Corporation (United States) Revenue: by Geography 2019
  • Figure 29. SAP SE (Germany) Revenue, Net Income and Gross profit
  • Figure 30. SAP SE (Germany) Revenue: by Geography 2019
  • Figure 31. Micro Focus International plc (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 32. Micro Focus International plc (United Kingdom) Revenue: by Geography 2019
  • Figure 33. Hortonworks Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 34. Hortonworks Inc. (United States) Revenue: by Geography 2019
  • Figure 35. Cloudera (United States) Revenue, Net Income and Gross profit
  • Figure 36. Cloudera (United States) Revenue: by Geography 2019
  • Figure 37. Actian Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 38. Actian Corporation (United States) Revenue: by Geography 2019
  • Figure 39. 1010data Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 40. 1010data Inc. (United States) Revenue: by Geography 2019
  • Figure 41. Pivotal Software Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 42. Pivotal Software Inc. (United States) Revenue: by Geography 2019
  • Figure 43. Solver Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 44. Solver Inc. (United States) Revenue: by Geography 2019
  • Figure 45. Global Data Warehouse as a Service: by Type USD Million (2020-2025)
  • Figure 46. Global Data Warehouse as a Service: by Application USD Million (2020-2025)
  • Figure 47. South America Data Warehouse as a Service Share (%), by Country
  • Figure 48. Asia Pacific Data Warehouse as a Service Share (%), by Country
  • Figure 49. Europe Data Warehouse as a Service Share (%), by Country
  • Figure 50. MEA Data Warehouse as a Service Share (%), by Country
  • Figure 51. North America Data Warehouse as a Service Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • IBM (United States)
  • AWS Inc. (United States)
  • Google (United States)
  • Oracle Corporation (United States)
  • Microsoft Corporation(United States)
  • Snowflake Computing Inc. (United States)
  • Teradata Corporation (United States)
  • SAP SE (Germany)
  • Micro Focus International plc (United Kingdom)
  • Hortonworks Inc. (United States)
  • Cloudera (United States)
  • Actian Corporation (United States)
  • 1010data Inc. (United States)
  • Pivotal Software Inc. (United States)
  • Solver Inc. (United States)
Additional players considered in the study are as follows:
Mark Logic Corporation (United States) , MemSQL Inc. (United States) ,
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