Global Hadoop-as-a-Service Market
Global Hadoop-as-a-Service Market

Hadoop-as-a-Service Comprehensive Study by Type (Run It Yourself (RIY), Pure Play (PP)), Application (Manufacturing Industry, BFSI, Retail Industry, Telecommunications Industry, Healthcare Industry, Government Sector, Media & Entertainment, Trade & Transportation, IT & ITES, Others), End User (Manufacturing Industry, BFSI    , Retail Industry    , Telecommunications Industry    , Healthcare Industry    , Government Sector    , Media & Entertainment    , Trade & Transportation    , IT & ITES, Others) Players and Region - Global Market Outlook to 2024

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

Mar 2019 Edition 236 Pages 219 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Scope of the Study
Hadoop refers to an open source software which stores the data and running application on cluster of commodity hardware by processing framework. Hadoop is also a distributed processing technology used for big data analysis. Big data analysis is the process used to examine big data in order to uncover various hidden pattern, unknown correlations, market trends, customer preferences and other information which will help the organization to take various decision. Hadoop allows to store these kind of data, enormous processing power and has the ability to handle it virtually. Hadoop can store unstructured data such as text, graphs, images, audio, videos and running applications.

The market study is being classified by Type (Run It Yourself (RIY) and Pure Play (PP)), by Application (Manufacturing Industry, BFSI, Retail Industry, Telecommunications Industry, Healthcare Industry, Government Sector, Media & Entertainment, Trade & Transportation, IT & ITES and Others) and major geographies with country level break-up.

Amazon Web Services (United States), Cloudera (United States), Hortonworks (United States), MapR Tech (United States), IBM (United States), Microsoft (United States), Dell/EMC/Pivotal (United States), Altiscale (SAP SE) (Germany), Twitter (United States) and Yahoo (United States) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are Adobe (United States), Alibaba (China), Facebook (United States) and Google (United States).

The Players having a strong hold in the market are Amazon Web Services, Cloudera, Hortonworks, MapR Tech. Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Hadoop-as-a-Service market throughout the predicted period.

Segment Analysis
AdvanceMarketAnalytics has segmented the market of Global Hadoop-as-a-Service market by Type, Application and Region.

On the basis of geography, the market of Hadoop-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). If we see Market by End User, the sub-segment i.e. Manufacturing Industry will boost the Hadoop-as-a-Service market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • Robust Increase in Adoption of Big Data Applications
  • Open-Source Framework Allows Storing & Processing of Big Data

Market Trend
  • Growing demand from SMEs
  • Dropping Prices of Cloud Services and Infrastructures

Restraints
  • Data Privacy
  • Lack of Awareness amongst the Hadoop Consumers

Opportunities
  • Increased Adoption of Social Networking Sites Producing huge Amount of Mankind Data Every Year
  • Strategic Alliances amongst the Key Players will Fuel the Business Growth

Challenges
  • Skilled Workforce is required
  • Impractical Automated Testing


Market Leaders and their expansionary development strategies
On January 23, 2018, Amazon Web Services (AWS) which provides information technology infrastructure services to businesses in the form of web services has acquired a big data analytic tool provider SQRRL.
On 20th December, 2018, Microsoft has released a brand new Az.ApiManagement PowerShell module. It has also announced that there will be no new development into AzureRM.ApiManagement. All new changes will go to the new Az.ApiManagement PowerShell module. In addition, we have removed a number of old cmdlets in the new Az.ApiManagement module.
Many countries, such as The US, UK, and European Union (EU) member countries, have started big data government programs. The UN’s 2012 e-government survey provided high marks to many Asian countries, particularly South Korea, Singapore and Japan. These countries have launched diverse initiatives on Big Data & started numerous projects. Privacy of data is important for both businesses & government.

Key Target Audience
Hadoop Platform Providers, Hadoop Tools Providers, Banking Industry, Social Media Service Providers, Hadoop Platform Downstream Buyers, Government Agencies and Others

Customization in the Report Available:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be informed prior purchase
Report Objectives / Segmentation Covered
By Type
  • Run It Yourself (RIY)
  • Pure Play (PP)
By Application
  • Manufacturing Industry
  • BFSI
  • Retail Industry
  • Telecommunications Industry
  • Healthcare Industry
  • Government Sector
  • Media & Entertainment
  • Trade & Transportation
  • IT & ITES
  • Others
By End User
  • Manufacturing Industry
  • BFSI    
  • Retail Industry    
  • Telecommunications Industry    
  • Healthcare Industry    
  • Government Sector    
  • Media & Entertainment    
  • Trade & Transportation    
  • IT & ITES
  • 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. Robust Increase in Adoption of Big Data Applications
      • 3.2.2. Open-Source Framework Allows Storing & Processing of Big Data
    • 3.3. Market Challenges
      • 3.3.1. Skilled Workforce is required
      • 3.3.2. Impractical Automated Testing
    • 3.4. Market Trends
      • 3.4.1. Growing demand from SMEs
      • 3.4.2. Dropping Prices of Cloud Services and Infrastructures
  • 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 Hadoop-as-a-Service, by Type, Application, End User and Region (value) (2013-2018)
    • 5.1. Introduction
    • 5.2. Global Hadoop-as-a-Service (Value)
      • 5.2.1. Global Hadoop-as-a-Service by: Type (Value)
        • 5.2.1.1. Run It Yourself (RIY)
        • 5.2.1.2. Pure Play (PP)
      • 5.2.2. Global Hadoop-as-a-Service by: Application (Value)
        • 5.2.2.1. Manufacturing Industry
        • 5.2.2.2. BFSI
        • 5.2.2.3. Retail Industry
        • 5.2.2.4. Telecommunications Industry
        • 5.2.2.5. Healthcare Industry
        • 5.2.2.6. Government Sector
        • 5.2.2.7. Media & Entertainment
        • 5.2.2.8. Trade & Transportation
        • 5.2.2.9. IT & ITES
        • 5.2.2.10. Others
      • 5.2.3. Global Hadoop-as-a-Service by: End User (Value)
        • 5.2.3.1. Manufacturing Industry
        • 5.2.3.2. BFSI    
        • 5.2.3.3. Retail Industry    
        • 5.2.3.4. Telecommunications Industry    
        • 5.2.3.5. Healthcare Industry    
        • 5.2.3.6. Government Sector    
        • 5.2.3.7. Media & Entertainment    
        • 5.2.3.8. Trade & Transportation    
        • 5.2.3.9. IT & ITES
        • 5.2.3.10. Others
      • 5.2.4. Global Hadoop-as-a-Service Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
  • 6. Hadoop-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 (2018)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Amazon Web Services (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. Cloudera (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. Hortonworks (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. MapR Tech (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. IBM (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. Microsoft (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. Dell/EMC/Pivotal (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. Altiscale (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. Twitter (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. Yahoo (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 Hadoop-as-a-Service Sale, by Type, Application, End User and Region (value) (2019-2024)
    • 7.1. Introduction
    • 7.2. Global Hadoop-as-a-Service (Value)
      • 7.2.1. Global Hadoop-as-a-Service by: Type (Value)
        • 7.2.1.1. Run It Yourself (RIY)
        • 7.2.1.2. Pure Play (PP)
      • 7.2.2. Global Hadoop-as-a-Service by: Application (Value)
        • 7.2.2.1. Manufacturing Industry
        • 7.2.2.2. BFSI
        • 7.2.2.3. Retail Industry
        • 7.2.2.4. Telecommunications Industry
        • 7.2.2.5. Healthcare Industry
        • 7.2.2.6. Government Sector
        • 7.2.2.7. Media & Entertainment
        • 7.2.2.8. Trade & Transportation
        • 7.2.2.9. IT & ITES
        • 7.2.2.10. Others
      • 7.2.3. Global Hadoop-as-a-Service by: End User (Value)
        • 7.2.3.1. Manufacturing Industry
        • 7.2.3.2. BFSI    
        • 7.2.3.3. Retail Industry    
        • 7.2.3.4. Telecommunications Industry    
        • 7.2.3.5. Healthcare Industry    
        • 7.2.3.6. Government Sector    
        • 7.2.3.7. Media & Entertainment    
        • 7.2.3.8. Trade & Transportation    
        • 7.2.3.9. IT & ITES
        • 7.2.3.10. Others
      • 7.2.4. Global Hadoop-as-a-Service Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Hadoop-as-a-Service: by Type(USD Million)
  • Table 2. Hadoop-as-a-Service Run It Yourself (RIY) , by Region USD Million (2013-2018)
  • Table 3. Hadoop-as-a-Service Pure Play (PP) , by Region USD Million (2013-2018)
  • Table 4. Hadoop-as-a-Service: by Application(USD Million)
  • Table 5. Hadoop-as-a-Service Manufacturing Industry , by Region USD Million (2013-2018)
  • Table 6. Hadoop-as-a-Service BFSI , by Region USD Million (2013-2018)
  • Table 7. Hadoop-as-a-Service Retail Industry , by Region USD Million (2013-2018)
  • Table 8. Hadoop-as-a-Service Telecommunications Industry , by Region USD Million (2013-2018)
  • Table 9. Hadoop-as-a-Service Healthcare Industry , by Region USD Million (2013-2018)
  • Table 10. Hadoop-as-a-Service Government Sector , by Region USD Million (2013-2018)
  • Table 11. Hadoop-as-a-Service Media & Entertainment , by Region USD Million (2013-2018)
  • Table 12. Hadoop-as-a-Service Trade & Transportation , by Region USD Million (2013-2018)
  • Table 13. Hadoop-as-a-Service IT & ITES , by Region USD Million (2013-2018)
  • Table 14. Hadoop-as-a-Service Others , by Region USD Million (2013-2018)
  • Table 15. Hadoop-as-a-Service: by End User(USD Million)
  • Table 16. Hadoop-as-a-Service Manufacturing Industry , by Region USD Million (2013-2018)
  • Table 17. Hadoop-as-a-Service BFSI     , by Region USD Million (2013-2018)
  • Table 18. Hadoop-as-a-Service Retail Industry     , by Region USD Million (2013-2018)
  • Table 19. Hadoop-as-a-Service Telecommunications Industry     , by Region USD Million (2013-2018)
  • Table 20. Hadoop-as-a-Service Healthcare Industry     , by Region USD Million (2013-2018)
  • Table 21. Hadoop-as-a-Service Government Sector     , by Region USD Million (2013-2018)
  • Table 22. Hadoop-as-a-Service Media & Entertainment     , by Region USD Million (2013-2018)
  • Table 23. Hadoop-as-a-Service Trade & Transportation     , by Region USD Million (2013-2018)
  • Table 24. Hadoop-as-a-Service IT & ITES , by Region USD Million (2013-2018)
  • Table 25. Hadoop-as-a-Service Others , by Region USD Million (2013-2018)
  • Table 26. South America Hadoop-as-a-Service, by Country USD Million (2013-2018)
  • Table 27. South America Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 28. South America Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 29. South America Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 30. Brazil Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 31. Brazil Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 32. Brazil Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 33. Argentina Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 34. Argentina Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 35. Argentina Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 36. Rest of South America Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 37. Rest of South America Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 38. Rest of South America Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 39. Asia Pacific Hadoop-as-a-Service, by Country USD Million (2013-2018)
  • Table 40. Asia Pacific Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 41. Asia Pacific Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 42. Asia Pacific Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 43. China Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 44. China Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 45. China Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 46. Japan Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 47. Japan Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 48. Japan Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 49. India Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 50. India Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 51. India Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 52. South Korea Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 53. South Korea Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 54. South Korea Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 55. Taiwan Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 56. Taiwan Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 57. Taiwan Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 58. Australia Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 59. Australia Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 60. Australia Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 61. Rest of Asia-Pacific Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 62. Rest of Asia-Pacific Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 63. Rest of Asia-Pacific Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 64. Europe Hadoop-as-a-Service, by Country USD Million (2013-2018)
  • Table 65. Europe Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 66. Europe Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 67. Europe Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 68. Germany Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 69. Germany Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 70. Germany Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 71. France Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 72. France Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 73. France Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 74. Italy Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 75. Italy Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 76. Italy Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 77. United Kingdom Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 78. United Kingdom Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 79. United Kingdom Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 80. Netherlands Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 81. Netherlands Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 82. Netherlands Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 83. Rest of Europe Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 84. Rest of Europe Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 85. Rest of Europe Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 86. MEA Hadoop-as-a-Service, by Country USD Million (2013-2018)
  • Table 87. MEA Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 88. MEA Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 89. MEA Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 90. Middle East Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 91. Middle East Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 92. Middle East Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 93. Africa Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 94. Africa Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 95. Africa Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 96. North America Hadoop-as-a-Service, by Country USD Million (2013-2018)
  • Table 97. North America Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 98. North America Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 99. North America Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 100. United States Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 101. United States Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 102. United States Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 103. Canada Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 104. Canada Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 105. Canada Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 106. Mexico Hadoop-as-a-Service, by Type USD Million (2013-2018)
  • Table 107. Mexico Hadoop-as-a-Service, by Application USD Million (2013-2018)
  • Table 108. Mexico Hadoop-as-a-Service, by End User USD Million (2013-2018)
  • Table 109. Company Basic Information, Sales Area and Its Competitors
  • Table 110. Company Basic Information, Sales Area and Its Competitors
  • Table 111. Company Basic Information, Sales Area and Its Competitors
  • Table 112. Company Basic Information, Sales Area and Its Competitors
  • Table 113. Company Basic Information, Sales Area and Its Competitors
  • Table 114. Company Basic Information, Sales Area and Its Competitors
  • Table 115. Company Basic Information, Sales Area and Its Competitors
  • Table 116. Company Basic Information, Sales Area and Its Competitors
  • Table 117. Company Basic Information, Sales Area and Its Competitors
  • Table 118. Company Basic Information, Sales Area and Its Competitors
  • Table 119. Hadoop-as-a-Service: by Type(USD Million)
  • Table 120. Hadoop-as-a-Service Run It Yourself (RIY) , by Region USD Million (2019-2024)
  • Table 121. Hadoop-as-a-Service Pure Play (PP) , by Region USD Million (2019-2024)
  • Table 122. Hadoop-as-a-Service: by Application(USD Million)
  • Table 123. Hadoop-as-a-Service Manufacturing Industry , by Region USD Million (2019-2024)
  • Table 124. Hadoop-as-a-Service BFSI , by Region USD Million (2019-2024)
  • Table 125. Hadoop-as-a-Service Retail Industry , by Region USD Million (2019-2024)
  • Table 126. Hadoop-as-a-Service Telecommunications Industry , by Region USD Million (2019-2024)
  • Table 127. Hadoop-as-a-Service Healthcare Industry , by Region USD Million (2019-2024)
  • Table 128. Hadoop-as-a-Service Government Sector , by Region USD Million (2019-2024)
  • Table 129. Hadoop-as-a-Service Media & Entertainment , by Region USD Million (2019-2024)
  • Table 130. Hadoop-as-a-Service Trade & Transportation , by Region USD Million (2019-2024)
  • Table 131. Hadoop-as-a-Service IT & ITES , by Region USD Million (2019-2024)
  • Table 132. Hadoop-as-a-Service Others , by Region USD Million (2019-2024)
  • Table 133. Hadoop-as-a-Service: by End User(USD Million)
  • Table 134. Hadoop-as-a-Service Manufacturing Industry , by Region USD Million (2019-2024)
  • Table 135. Hadoop-as-a-Service BFSI     , by Region USD Million (2019-2024)
  • Table 136. Hadoop-as-a-Service Retail Industry     , by Region USD Million (2019-2024)
  • Table 137. Hadoop-as-a-Service Telecommunications Industry     , by Region USD Million (2019-2024)
  • Table 138. Hadoop-as-a-Service Healthcare Industry     , by Region USD Million (2019-2024)
  • Table 139. Hadoop-as-a-Service Government Sector     , by Region USD Million (2019-2024)
  • Table 140. Hadoop-as-a-Service Media & Entertainment     , by Region USD Million (2019-2024)
  • Table 141. Hadoop-as-a-Service Trade & Transportation     , by Region USD Million (2019-2024)
  • Table 142. Hadoop-as-a-Service IT & ITES , by Region USD Million (2019-2024)
  • Table 143. Hadoop-as-a-Service Others , by Region USD Million (2019-2024)
  • Table 144. South America Hadoop-as-a-Service, by Country USD Million (2019-2024)
  • Table 145. South America Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 146. South America Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 147. South America Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 148. Brazil Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 149. Brazil Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 150. Brazil Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 151. Argentina Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 152. Argentina Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 153. Argentina Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 154. Rest of South America Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 155. Rest of South America Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 156. Rest of South America Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 157. Asia Pacific Hadoop-as-a-Service, by Country USD Million (2019-2024)
  • Table 158. Asia Pacific Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 159. Asia Pacific Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 160. Asia Pacific Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 161. China Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 162. China Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 163. China Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 164. Japan Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 165. Japan Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 166. Japan Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 167. India Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 168. India Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 169. India Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 170. South Korea Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 171. South Korea Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 172. South Korea Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 173. Taiwan Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 174. Taiwan Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 175. Taiwan Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 176. Australia Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 177. Australia Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 178. Australia Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 179. Rest of Asia-Pacific Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 180. Rest of Asia-Pacific Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 181. Rest of Asia-Pacific Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 182. Europe Hadoop-as-a-Service, by Country USD Million (2019-2024)
  • Table 183. Europe Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 184. Europe Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 185. Europe Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 186. Germany Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 187. Germany Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 188. Germany Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 189. France Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 190. France Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 191. France Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 192. Italy Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 193. Italy Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 194. Italy Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 195. United Kingdom Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 196. United Kingdom Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 197. United Kingdom Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 198. Netherlands Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 199. Netherlands Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 200. Netherlands Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 201. Rest of Europe Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 202. Rest of Europe Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 203. Rest of Europe Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 204. MEA Hadoop-as-a-Service, by Country USD Million (2019-2024)
  • Table 205. MEA Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 206. MEA Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 207. MEA Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 208. Middle East Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 209. Middle East Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 210. Middle East Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 211. Africa Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 212. Africa Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 213. Africa Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 214. North America Hadoop-as-a-Service, by Country USD Million (2019-2024)
  • Table 215. North America Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 216. North America Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 217. North America Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 218. United States Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 219. United States Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 220. United States Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 221. Canada Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 222. Canada Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 223. Canada Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 224. Mexico Hadoop-as-a-Service, by Type USD Million (2019-2024)
  • Table 225. Mexico Hadoop-as-a-Service, by Application USD Million (2019-2024)
  • Table 226. Mexico Hadoop-as-a-Service, by End User USD Million (2019-2024)
  • Table 227. Research Programs/Design for This Report
  • Table 228. Key Data Information from Secondary Sources
  • Table 229. 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 Hadoop-as-a-Service: by Type USD Million (2013-2018)
  • Figure 5. Global Hadoop-as-a-Service: by Application USD Million (2013-2018)
  • Figure 6. Global Hadoop-as-a-Service: by End User USD Million (2013-2018)
  • Figure 7. South America Hadoop-as-a-Service Share (%), by Country
  • Figure 8. Asia Pacific Hadoop-as-a-Service Share (%), by Country
  • Figure 9. Europe Hadoop-as-a-Service Share (%), by Country
  • Figure 10. MEA Hadoop-as-a-Service Share (%), by Country
  • Figure 11. North America Hadoop-as-a-Service Share (%), by Country
  • Figure 12. Global Hadoop-as-a-Service share by Players 2018 (%)
  • Figure 13. Global Hadoop-as-a-Service share by Players (Top 3) 2018(%)
  • Figure 14. Global Hadoop-as-a-Service share by Players (Top 5) 2018(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Amazon Web Services (United States) Revenue, Net Income and Gross profit
  • Figure 17. Amazon Web Services (United States) Revenue: by Geography 2018
  • Figure 18. Cloudera (United States) Revenue, Net Income and Gross profit
  • Figure 19. Cloudera (United States) Revenue: by Geography 2018
  • Figure 20. Hortonworks (United States) Revenue, Net Income and Gross profit
  • Figure 21. Hortonworks (United States) Revenue: by Geography 2018
  • Figure 22. MapR Tech (United States) Revenue, Net Income and Gross profit
  • Figure 23. MapR Tech (United States) Revenue: by Geography 2018
  • Figure 24. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 25. IBM (United States) Revenue: by Geography 2018
  • Figure 26. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 27. Microsoft (United States) Revenue: by Geography 2018
  • Figure 28. Dell/EMC/Pivotal (United States) Revenue, Net Income and Gross profit
  • Figure 29. Dell/EMC/Pivotal (United States) Revenue: by Geography 2018
  • Figure 30. Altiscale (SAP SE) (Germany) Revenue, Net Income and Gross profit
  • Figure 31. Altiscale (SAP SE) (Germany) Revenue: by Geography 2018
  • Figure 32. Twitter (United States) Revenue, Net Income and Gross profit
  • Figure 33. Twitter (United States) Revenue: by Geography 2018
  • Figure 34. Yahoo (United States) Revenue, Net Income and Gross profit
  • Figure 35. Yahoo (United States) Revenue: by Geography 2018
  • Figure 36. Global Hadoop-as-a-Service: by Type USD Million (2019-2024)
  • Figure 37. Global Hadoop-as-a-Service: by Application USD Million (2019-2024)
  • Figure 38. Global Hadoop-as-a-Service: by End User USD Million (2019-2024)
  • Figure 39. South America Hadoop-as-a-Service Share (%), by Country
  • Figure 40. Asia Pacific Hadoop-as-a-Service Share (%), by Country
  • Figure 41. Europe Hadoop-as-a-Service Share (%), by Country
  • Figure 42. MEA Hadoop-as-a-Service Share (%), by Country
  • Figure 43. North America Hadoop-as-a-Service Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Amazon Web Services (United States)
  • Cloudera (United States)
  • Hortonworks (United States)
  • MapR Tech (United States)
  • IBM (United States)
  • Microsoft (United States)
  • Dell/EMC/Pivotal (United States)
  • Altiscale (SAP SE) (Germany)
  • Twitter (United States)
  • Yahoo (United States)
Additional players considered in the study are as follows:
Adobe (United States) , Alibaba (China) , Facebook (United States) , Google (United States)
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