Global NoSQL
Global NoSQL

NoSQL Comprehensive Study by Type (Key-Value Store, Document Databases, Column Based Stores, Graph Database), Application (Data Storage, Metadata Store, Cache Memory, Distributed Data Depository, E-Commerce, Mobile Apps, Web Applications, Data Analytics, Social Networking), Industry Vertical (Retail, Gaming, IT, Others), Technology (MySQL, Database, Relational Database Management Systems (RDBMS), ACID (Atomicity, Consistency, Isolation, Durability), Metadata, Hadoop) Players and Region - Global Market Outlook to 2025

NoSQL Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025  

May 2020 Edition 216 Pages 181 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
NoSQL Market Scope
A NoSQL is a database that includes a relational mechanism for storage and retrieval of structured and unstructured data, which is modeled in means other than the tabular relations as used in relational databases (RDBMS). It encompasses a wide variety of database technologies that are developed to handle an increase in the volume of data generated and stored.

The market study is being classified by Type (Key-Value Store, Document Databases, Column Based Stores and Graph Database), by Application (Data Storage, Metadata Store, Cache Memory, Distributed Data Depository, e-Commerce, Mobile Apps, Web Applications, Data Analytics and Social Networking) and major geographies with country level break-up.

Several key players in the global NoSQL market are offering their products for free download, which can be upgraded to premium versions with purchased licenses. This is likely to be adopted by more participants to enhance their visibility in the market. Companies will be focusing towards business expansion through partnerships. The growing popularity of NoSQL is expected to attract new players to venture into the market, which will render the arena more competitive Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global NoSQL market throughout the predicted period.

Aerospike, Inc. (United States), Amazon Web Services, Inc. (United States), DataStax, Inc. (United States), Microsoft Corporation (United States), Couchbase, Inc. (United States), Google LLC (United States), MarkLogic Corporation (United States), MongoDB, Inc. (United States) and Objectivity, Inc. (United States) are some of the key players profiled in the study.

Segmentation Overview
AdvanceMarketAnalytics has segmented the market of Global NoSQL market by Type, Application and Region.

On the basis of geography, the market of NoSQL 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. Europe on the other hand stood as second largest market due to the presence of key companies into the region and high technological advancement.




Market Trend
  • The rising awareness regarding the numerous benefits offered by NoSQL in managing big data is the foremost stimulant
  • the soaring use of web applications and analytics

Market Drivers
  • The rises in demand from numerous applications such as e-commerce, web applications, and social game development

Opportunities
  • The rapid adoption to support increased business data, especially, in social networks, retail, and e-commerce
  • Technological advancements are estimated to address testing issues and boost the revenue generation

Restraints
  • The unstructured format of NoSQL makes it's testing difficult


Key Target Audience
NoSQL Database Providers, Government Regulatory Bodies, Research Organizations, Government Research Organizations and Others

Customization available in this Study:
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
  • Key-Value Store
  • Document Databases
  • Column Based Stores
  • Graph Database
By Application
  • Data Storage
  • Metadata Store
  • Cache Memory
  • Distributed Data Depository
  • e-Commerce
  • Mobile Apps
  • Web Applications
  • Data Analytics
  • Social Networking
By Industry Vertical
  • Retail
  • Gaming
  • IT
  • Others

By Technology
  • MySQL
  • Database
  • Relational Database Management Systems (RDBMS)
  • ACID (Atomicity, Consistency, Isolation, Durability)
  • Metadata
  • Hadoop

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. The rises in demand from numerous applications such as e-commerce, web applications, and social game development
    • 3.3. Market Trends
      • 3.3.1. The rising awareness regarding the numerous benefits offered by NoSQL in managing big data is the foremost stimulant
      • 3.3.2. The soaring use of web applications and analytics
  • 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 NoSQL, by Type, Application, Industry Vertical, Technology and Region (value and price ) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global NoSQL (Value)
      • 5.2.1. Global NoSQL by: Type (Value)
        • 5.2.1.1. Key-Value Store
        • 5.2.1.2. Document Databases
        • 5.2.1.3. Column Based Stores
        • 5.2.1.4. Graph Database
      • 5.2.2. Global NoSQL by: Application (Value)
        • 5.2.2.1. Data Storage
        • 5.2.2.2. Metadata Store
        • 5.2.2.3. Cache Memory
        • 5.2.2.4. Distributed Data Depository
        • 5.2.2.5. E-Commerce
        • 5.2.2.6. Mobile Apps
        • 5.2.2.7. Web Applications
        • 5.2.2.8. Data Analytics
        • 5.2.2.9. Social Networking
      • 5.2.3. Global NoSQL by: Industry Vertical (Value)
        • 5.2.3.1. Retail
        • 5.2.3.2. Gaming
        • 5.2.3.3. IT
        • 5.2.3.4. Others
      • 5.2.4. Global NoSQL by: Technology (Value)
        • 5.2.4.1. MySQL
        • 5.2.4.2. Database
        • 5.2.4.3. Relational Database Management Systems (RDBMS)
        • 5.2.4.4. ACID (Atomicity, Consistency, Isolation, Durability)
        • 5.2.4.5. Metadata
        • 5.2.4.6. Hadoop
      • 5.2.5. Global NoSQL 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 NoSQL (Price)
      • 5.3.1. Global NoSQL by: Type (Price)
  • 6. NoSQL: 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. Aerospike, Inc. (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. Amazon Web Services, 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. DataStax, Inc. (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Microsoft 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. Couchbase, Inc. (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. Google LLC (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. MarkLogic 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. MongoDB, 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. Objectivity, Inc. (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
  • 7. Global NoSQL Sale, by Type, Application, Industry Vertical, Technology and Region (value and price ) (2020-2025)
    • 7.1. Introduction
    • 7.2. Global NoSQL (Value)
      • 7.2.1. Global NoSQL by: Type (Value)
        • 7.2.1.1. Key-Value Store
        • 7.2.1.2. Document Databases
        • 7.2.1.3. Column Based Stores
        • 7.2.1.4. Graph Database
      • 7.2.2. Global NoSQL by: Application (Value)
        • 7.2.2.1. Data Storage
        • 7.2.2.2. Metadata Store
        • 7.2.2.3. Cache Memory
        • 7.2.2.4. Distributed Data Depository
        • 7.2.2.5. E-Commerce
        • 7.2.2.6. Mobile Apps
        • 7.2.2.7. Web Applications
        • 7.2.2.8. Data Analytics
        • 7.2.2.9. Social Networking
      • 7.2.3. Global NoSQL by: Industry Vertical (Value)
        • 7.2.3.1. Retail
        • 7.2.3.2. Gaming
        • 7.2.3.3. IT
        • 7.2.3.4. Others
      • 7.2.4. Global NoSQL by: Technology (Value)
        • 7.2.4.1. MySQL
        • 7.2.4.2. Database
        • 7.2.4.3. Relational Database Management Systems (RDBMS)
        • 7.2.4.4. ACID (Atomicity, Consistency, Isolation, Durability)
        • 7.2.4.5. Metadata
        • 7.2.4.6. Hadoop
      • 7.2.5. Global NoSQL 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 NoSQL (Price)
      • 7.3.1. Global NoSQL 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. NoSQL: by Type(USD Million)
  • Table 2. NoSQL Key-Value Store , by Region USD Million (2014-2019)
  • Table 3. NoSQL Document Databases , by Region USD Million (2014-2019)
  • Table 4. NoSQL Column Based Stores , by Region USD Million (2014-2019)
  • Table 5. NoSQL Graph Database , by Region USD Million (2014-2019)
  • Table 6. NoSQL: by Application(USD Million)
  • Table 7. NoSQL Data Storage , by Region USD Million (2014-2019)
  • Table 8. NoSQL Metadata Store , by Region USD Million (2014-2019)
  • Table 9. NoSQL Cache Memory , by Region USD Million (2014-2019)
  • Table 10. NoSQL Distributed Data Depository , by Region USD Million (2014-2019)
  • Table 11. NoSQL E-Commerce , by Region USD Million (2014-2019)
  • Table 12. NoSQL Mobile Apps , by Region USD Million (2014-2019)
  • Table 13. NoSQL Web Applications , by Region USD Million (2014-2019)
  • Table 14. NoSQL Data Analytics , by Region USD Million (2014-2019)
  • Table 15. NoSQL Social Networking , by Region USD Million (2014-2019)
  • Table 16. NoSQL: by Industry Vertical(USD Million)
  • Table 17. NoSQL Retail , by Region USD Million (2014-2019)
  • Table 18. NoSQL Gaming , by Region USD Million (2014-2019)
  • Table 19. NoSQL IT , by Region USD Million (2014-2019)
  • Table 20. NoSQL Others , by Region USD Million (2014-2019)
  • Table 21. NoSQL: by Technology(USD Million)
  • Table 22. NoSQL MySQL , by Region USD Million (2014-2019)
  • Table 23. NoSQL Database , by Region USD Million (2014-2019)
  • Table 24. NoSQL Relational Database Management Systems (RDBMS) , by Region USD Million (2014-2019)
  • Table 25. NoSQL ACID (Atomicity, Consistency, Isolation, Durability) , by Region USD Million (2014-2019)
  • Table 26. NoSQL Metadata , by Region USD Million (2014-2019)
  • Table 27. NoSQL Hadoop , by Region USD Million (2014-2019)
  • Table 28. South America NoSQL, by Country USD Million (2014-2019)
  • Table 29. South America NoSQL, by Type USD Million (2014-2019)
  • Table 30. South America NoSQL, by Application USD Million (2014-2019)
  • Table 31. South America NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 32. South America NoSQL, by Technology USD Million (2014-2019)
  • Table 33. Brazil NoSQL, by Type USD Million (2014-2019)
  • Table 34. Brazil NoSQL, by Application USD Million (2014-2019)
  • Table 35. Brazil NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 36. Brazil NoSQL, by Technology USD Million (2014-2019)
  • Table 37. Argentina NoSQL, by Type USD Million (2014-2019)
  • Table 38. Argentina NoSQL, by Application USD Million (2014-2019)
  • Table 39. Argentina NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 40. Argentina NoSQL, by Technology USD Million (2014-2019)
  • Table 41. Rest of South America NoSQL, by Type USD Million (2014-2019)
  • Table 42. Rest of South America NoSQL, by Application USD Million (2014-2019)
  • Table 43. Rest of South America NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 44. Rest of South America NoSQL, by Technology USD Million (2014-2019)
  • Table 45. Asia Pacific NoSQL, by Country USD Million (2014-2019)
  • Table 46. Asia Pacific NoSQL, by Type USD Million (2014-2019)
  • Table 47. Asia Pacific NoSQL, by Application USD Million (2014-2019)
  • Table 48. Asia Pacific NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 49. Asia Pacific NoSQL, by Technology USD Million (2014-2019)
  • Table 50. China NoSQL, by Type USD Million (2014-2019)
  • Table 51. China NoSQL, by Application USD Million (2014-2019)
  • Table 52. China NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 53. China NoSQL, by Technology USD Million (2014-2019)
  • Table 54. Japan NoSQL, by Type USD Million (2014-2019)
  • Table 55. Japan NoSQL, by Application USD Million (2014-2019)
  • Table 56. Japan NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 57. Japan NoSQL, by Technology USD Million (2014-2019)
  • Table 58. India NoSQL, by Type USD Million (2014-2019)
  • Table 59. India NoSQL, by Application USD Million (2014-2019)
  • Table 60. India NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 61. India NoSQL, by Technology USD Million (2014-2019)
  • Table 62. South Korea NoSQL, by Type USD Million (2014-2019)
  • Table 63. South Korea NoSQL, by Application USD Million (2014-2019)
  • Table 64. South Korea NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 65. South Korea NoSQL, by Technology USD Million (2014-2019)
  • Table 66. Taiwan NoSQL, by Type USD Million (2014-2019)
  • Table 67. Taiwan NoSQL, by Application USD Million (2014-2019)
  • Table 68. Taiwan NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 69. Taiwan NoSQL, by Technology USD Million (2014-2019)
  • Table 70. Australia NoSQL, by Type USD Million (2014-2019)
  • Table 71. Australia NoSQL, by Application USD Million (2014-2019)
  • Table 72. Australia NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 73. Australia NoSQL, by Technology USD Million (2014-2019)
  • Table 74. Rest of Asia-Pacific NoSQL, by Type USD Million (2014-2019)
  • Table 75. Rest of Asia-Pacific NoSQL, by Application USD Million (2014-2019)
  • Table 76. Rest of Asia-Pacific NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 77. Rest of Asia-Pacific NoSQL, by Technology USD Million (2014-2019)
  • Table 78. Europe NoSQL, by Country USD Million (2014-2019)
  • Table 79. Europe NoSQL, by Type USD Million (2014-2019)
  • Table 80. Europe NoSQL, by Application USD Million (2014-2019)
  • Table 81. Europe NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 82. Europe NoSQL, by Technology USD Million (2014-2019)
  • Table 83. Germany NoSQL, by Type USD Million (2014-2019)
  • Table 84. Germany NoSQL, by Application USD Million (2014-2019)
  • Table 85. Germany NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 86. Germany NoSQL, by Technology USD Million (2014-2019)
  • Table 87. France NoSQL, by Type USD Million (2014-2019)
  • Table 88. France NoSQL, by Application USD Million (2014-2019)
  • Table 89. France NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 90. France NoSQL, by Technology USD Million (2014-2019)
  • Table 91. Italy NoSQL, by Type USD Million (2014-2019)
  • Table 92. Italy NoSQL, by Application USD Million (2014-2019)
  • Table 93. Italy NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 94. Italy NoSQL, by Technology USD Million (2014-2019)
  • Table 95. United Kingdom NoSQL, by Type USD Million (2014-2019)
  • Table 96. United Kingdom NoSQL, by Application USD Million (2014-2019)
  • Table 97. United Kingdom NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 98. United Kingdom NoSQL, by Technology USD Million (2014-2019)
  • Table 99. Netherlands NoSQL, by Type USD Million (2014-2019)
  • Table 100. Netherlands NoSQL, by Application USD Million (2014-2019)
  • Table 101. Netherlands NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 102. Netherlands NoSQL, by Technology USD Million (2014-2019)
  • Table 103. Rest of Europe NoSQL, by Type USD Million (2014-2019)
  • Table 104. Rest of Europe NoSQL, by Application USD Million (2014-2019)
  • Table 105. Rest of Europe NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 106. Rest of Europe NoSQL, by Technology USD Million (2014-2019)
  • Table 107. MEA NoSQL, by Country USD Million (2014-2019)
  • Table 108. MEA NoSQL, by Type USD Million (2014-2019)
  • Table 109. MEA NoSQL, by Application USD Million (2014-2019)
  • Table 110. MEA NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 111. MEA NoSQL, by Technology USD Million (2014-2019)
  • Table 112. Middle East NoSQL, by Type USD Million (2014-2019)
  • Table 113. Middle East NoSQL, by Application USD Million (2014-2019)
  • Table 114. Middle East NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 115. Middle East NoSQL, by Technology USD Million (2014-2019)
  • Table 116. Africa NoSQL, by Type USD Million (2014-2019)
  • Table 117. Africa NoSQL, by Application USD Million (2014-2019)
  • Table 118. Africa NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 119. Africa NoSQL, by Technology USD Million (2014-2019)
  • Table 120. North America NoSQL, by Country USD Million (2014-2019)
  • Table 121. North America NoSQL, by Type USD Million (2014-2019)
  • Table 122. North America NoSQL, by Application USD Million (2014-2019)
  • Table 123. North America NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 124. North America NoSQL, by Technology USD Million (2014-2019)
  • Table 125. United States NoSQL, by Type USD Million (2014-2019)
  • Table 126. United States NoSQL, by Application USD Million (2014-2019)
  • Table 127. United States NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 128. United States NoSQL, by Technology USD Million (2014-2019)
  • Table 129. Canada NoSQL, by Type USD Million (2014-2019)
  • Table 130. Canada NoSQL, by Application USD Million (2014-2019)
  • Table 131. Canada NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 132. Canada NoSQL, by Technology USD Million (2014-2019)
  • Table 133. Mexico NoSQL, by Type USD Million (2014-2019)
  • Table 134. Mexico NoSQL, by Application USD Million (2014-2019)
  • Table 135. Mexico NoSQL, by Industry Vertical USD Million (2014-2019)
  • Table 136. Mexico NoSQL, by Technology USD Million (2014-2019)
  • Table 137. NoSQL: by Type(USD/Units)
  • 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. Company Basic Information, Sales Area and Its Competitors
  • Table 146. Company Basic Information, Sales Area and Its Competitors
  • Table 147. NoSQL: by Type(USD Million)
  • Table 148. NoSQL Key-Value Store , by Region USD Million (2020-2025)
  • Table 149. NoSQL Document Databases , by Region USD Million (2020-2025)
  • Table 150. NoSQL Column Based Stores , by Region USD Million (2020-2025)
  • Table 151. NoSQL Graph Database , by Region USD Million (2020-2025)
  • Table 152. NoSQL: by Application(USD Million)
  • Table 153. NoSQL Data Storage , by Region USD Million (2020-2025)
  • Table 154. NoSQL Metadata Store , by Region USD Million (2020-2025)
  • Table 155. NoSQL Cache Memory , by Region USD Million (2020-2025)
  • Table 156. NoSQL Distributed Data Depository , by Region USD Million (2020-2025)
  • Table 157. NoSQL E-Commerce , by Region USD Million (2020-2025)
  • Table 158. NoSQL Mobile Apps , by Region USD Million (2020-2025)
  • Table 159. NoSQL Web Applications , by Region USD Million (2020-2025)
  • Table 160. NoSQL Data Analytics , by Region USD Million (2020-2025)
  • Table 161. NoSQL Social Networking , by Region USD Million (2020-2025)
  • Table 162. NoSQL: by Industry Vertical(USD Million)
  • Table 163. NoSQL Retail , by Region USD Million (2020-2025)
  • Table 164. NoSQL Gaming , by Region USD Million (2020-2025)
  • Table 165. NoSQL IT , by Region USD Million (2020-2025)
  • Table 166. NoSQL Others , by Region USD Million (2020-2025)
  • Table 167. NoSQL: by Technology(USD Million)
  • Table 168. NoSQL MySQL , by Region USD Million (2020-2025)
  • Table 169. NoSQL Database , by Region USD Million (2020-2025)
  • Table 170. NoSQL Relational Database Management Systems (RDBMS) , by Region USD Million (2020-2025)
  • Table 171. NoSQL ACID (Atomicity, Consistency, Isolation, Durability) , by Region USD Million (2020-2025)
  • Table 172. NoSQL Metadata , by Region USD Million (2020-2025)
  • Table 173. NoSQL Hadoop , by Region USD Million (2020-2025)
  • Table 174. South America NoSQL, by Country USD Million (2020-2025)
  • Table 175. South America NoSQL, by Type USD Million (2020-2025)
  • Table 176. South America NoSQL, by Application USD Million (2020-2025)
  • Table 177. South America NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 178. South America NoSQL, by Technology USD Million (2020-2025)
  • Table 179. Brazil NoSQL, by Type USD Million (2020-2025)
  • Table 180. Brazil NoSQL, by Application USD Million (2020-2025)
  • Table 181. Brazil NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 182. Brazil NoSQL, by Technology USD Million (2020-2025)
  • Table 183. Argentina NoSQL, by Type USD Million (2020-2025)
  • Table 184. Argentina NoSQL, by Application USD Million (2020-2025)
  • Table 185. Argentina NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 186. Argentina NoSQL, by Technology USD Million (2020-2025)
  • Table 187. Rest of South America NoSQL, by Type USD Million (2020-2025)
  • Table 188. Rest of South America NoSQL, by Application USD Million (2020-2025)
  • Table 189. Rest of South America NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 190. Rest of South America NoSQL, by Technology USD Million (2020-2025)
  • Table 191. Asia Pacific NoSQL, by Country USD Million (2020-2025)
  • Table 192. Asia Pacific NoSQL, by Type USD Million (2020-2025)
  • Table 193. Asia Pacific NoSQL, by Application USD Million (2020-2025)
  • Table 194. Asia Pacific NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 195. Asia Pacific NoSQL, by Technology USD Million (2020-2025)
  • Table 196. China NoSQL, by Type USD Million (2020-2025)
  • Table 197. China NoSQL, by Application USD Million (2020-2025)
  • Table 198. China NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 199. China NoSQL, by Technology USD Million (2020-2025)
  • Table 200. Japan NoSQL, by Type USD Million (2020-2025)
  • Table 201. Japan NoSQL, by Application USD Million (2020-2025)
  • Table 202. Japan NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 203. Japan NoSQL, by Technology USD Million (2020-2025)
  • Table 204. India NoSQL, by Type USD Million (2020-2025)
  • Table 205. India NoSQL, by Application USD Million (2020-2025)
  • Table 206. India NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 207. India NoSQL, by Technology USD Million (2020-2025)
  • Table 208. South Korea NoSQL, by Type USD Million (2020-2025)
  • Table 209. South Korea NoSQL, by Application USD Million (2020-2025)
  • Table 210. South Korea NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 211. South Korea NoSQL, by Technology USD Million (2020-2025)
  • Table 212. Taiwan NoSQL, by Type USD Million (2020-2025)
  • Table 213. Taiwan NoSQL, by Application USD Million (2020-2025)
  • Table 214. Taiwan NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 215. Taiwan NoSQL, by Technology USD Million (2020-2025)
  • Table 216. Australia NoSQL, by Type USD Million (2020-2025)
  • Table 217. Australia NoSQL, by Application USD Million (2020-2025)
  • Table 218. Australia NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 219. Australia NoSQL, by Technology USD Million (2020-2025)
  • Table 220. Rest of Asia-Pacific NoSQL, by Type USD Million (2020-2025)
  • Table 221. Rest of Asia-Pacific NoSQL, by Application USD Million (2020-2025)
  • Table 222. Rest of Asia-Pacific NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 223. Rest of Asia-Pacific NoSQL, by Technology USD Million (2020-2025)
  • Table 224. Europe NoSQL, by Country USD Million (2020-2025)
  • Table 225. Europe NoSQL, by Type USD Million (2020-2025)
  • Table 226. Europe NoSQL, by Application USD Million (2020-2025)
  • Table 227. Europe NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 228. Europe NoSQL, by Technology USD Million (2020-2025)
  • Table 229. Germany NoSQL, by Type USD Million (2020-2025)
  • Table 230. Germany NoSQL, by Application USD Million (2020-2025)
  • Table 231. Germany NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 232. Germany NoSQL, by Technology USD Million (2020-2025)
  • Table 233. France NoSQL, by Type USD Million (2020-2025)
  • Table 234. France NoSQL, by Application USD Million (2020-2025)
  • Table 235. France NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 236. France NoSQL, by Technology USD Million (2020-2025)
  • Table 237. Italy NoSQL, by Type USD Million (2020-2025)
  • Table 238. Italy NoSQL, by Application USD Million (2020-2025)
  • Table 239. Italy NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 240. Italy NoSQL, by Technology USD Million (2020-2025)
  • Table 241. United Kingdom NoSQL, by Type USD Million (2020-2025)
  • Table 242. United Kingdom NoSQL, by Application USD Million (2020-2025)
  • Table 243. United Kingdom NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 244. United Kingdom NoSQL, by Technology USD Million (2020-2025)
  • Table 245. Netherlands NoSQL, by Type USD Million (2020-2025)
  • Table 246. Netherlands NoSQL, by Application USD Million (2020-2025)
  • Table 247. Netherlands NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 248. Netherlands NoSQL, by Technology USD Million (2020-2025)
  • Table 249. Rest of Europe NoSQL, by Type USD Million (2020-2025)
  • Table 250. Rest of Europe NoSQL, by Application USD Million (2020-2025)
  • Table 251. Rest of Europe NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 252. Rest of Europe NoSQL, by Technology USD Million (2020-2025)
  • Table 253. MEA NoSQL, by Country USD Million (2020-2025)
  • Table 254. MEA NoSQL, by Type USD Million (2020-2025)
  • Table 255. MEA NoSQL, by Application USD Million (2020-2025)
  • Table 256. MEA NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 257. MEA NoSQL, by Technology USD Million (2020-2025)
  • Table 258. Middle East NoSQL, by Type USD Million (2020-2025)
  • Table 259. Middle East NoSQL, by Application USD Million (2020-2025)
  • Table 260. Middle East NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 261. Middle East NoSQL, by Technology USD Million (2020-2025)
  • Table 262. Africa NoSQL, by Type USD Million (2020-2025)
  • Table 263. Africa NoSQL, by Application USD Million (2020-2025)
  • Table 264. Africa NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 265. Africa NoSQL, by Technology USD Million (2020-2025)
  • Table 266. North America NoSQL, by Country USD Million (2020-2025)
  • Table 267. North America NoSQL, by Type USD Million (2020-2025)
  • Table 268. North America NoSQL, by Application USD Million (2020-2025)
  • Table 269. North America NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 270. North America NoSQL, by Technology USD Million (2020-2025)
  • Table 271. United States NoSQL, by Type USD Million (2020-2025)
  • Table 272. United States NoSQL, by Application USD Million (2020-2025)
  • Table 273. United States NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 274. United States NoSQL, by Technology USD Million (2020-2025)
  • Table 275. Canada NoSQL, by Type USD Million (2020-2025)
  • Table 276. Canada NoSQL, by Application USD Million (2020-2025)
  • Table 277. Canada NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 278. Canada NoSQL, by Technology USD Million (2020-2025)
  • Table 279. Mexico NoSQL, by Type USD Million (2020-2025)
  • Table 280. Mexico NoSQL, by Application USD Million (2020-2025)
  • Table 281. Mexico NoSQL, by Industry Vertical USD Million (2020-2025)
  • Table 282. Mexico NoSQL, by Technology USD Million (2020-2025)
  • Table 283. NoSQL: by Type(USD/Units)
  • Table 284. Research Programs/Design for This Report
  • Table 285. Key Data Information from Secondary Sources
  • Table 286. 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 NoSQL: by Type USD Million (2014-2019)
  • Figure 5. Global NoSQL: by Application USD Million (2014-2019)
  • Figure 6. Global NoSQL: by Industry Vertical USD Million (2014-2019)
  • Figure 7. Global NoSQL: by Technology USD Million (2014-2019)
  • Figure 8. South America NoSQL Share (%), by Country
  • Figure 9. Asia Pacific NoSQL Share (%), by Country
  • Figure 10. Europe NoSQL Share (%), by Country
  • Figure 11. MEA NoSQL Share (%), by Country
  • Figure 12. North America NoSQL Share (%), by Country
  • Figure 13. Global NoSQL: by Type USD/Units (2014-2019)
  • Figure 14. Global NoSQL share by Players 2019 (%)
  • Figure 15. Global NoSQL share by Players (Top 3) 2019(%)
  • Figure 16. Global NoSQL share by Players (Top 5) 2019(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. Aerospike, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 19. Aerospike, Inc. (United States) Revenue: by Geography 2019
  • Figure 20. Amazon Web Services, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 21. Amazon Web Services, Inc. (United States) Revenue: by Geography 2019
  • Figure 22. DataStax, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 23. DataStax, Inc. (United States) Revenue: by Geography 2019
  • Figure 24. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 25. Microsoft Corporation (United States) Revenue: by Geography 2019
  • Figure 26. Couchbase, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 27. Couchbase, Inc. (United States) Revenue: by Geography 2019
  • Figure 28. Google LLC (United States) Revenue, Net Income and Gross profit
  • Figure 29. Google LLC (United States) Revenue: by Geography 2019
  • Figure 30. MarkLogic Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 31. MarkLogic Corporation (United States) Revenue: by Geography 2019
  • Figure 32. MongoDB, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 33. MongoDB, Inc. (United States) Revenue: by Geography 2019
  • Figure 34. Objectivity, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 35. Objectivity, Inc. (United States) Revenue: by Geography 2019
  • Figure 36. Global NoSQL: by Type USD Million (2020-2025)
  • Figure 37. Global NoSQL: by Application USD Million (2020-2025)
  • Figure 38. Global NoSQL: by Industry Vertical USD Million (2020-2025)
  • Figure 39. Global NoSQL: by Technology USD Million (2020-2025)
  • Figure 40. South America NoSQL Share (%), by Country
  • Figure 41. Asia Pacific NoSQL Share (%), by Country
  • Figure 42. Europe NoSQL Share (%), by Country
  • Figure 43. MEA NoSQL Share (%), by Country
  • Figure 44. North America NoSQL Share (%), by Country
  • Figure 45. Global NoSQL: by Type USD/Units (2020-2025)
Some of the key companies/manufacturers profiled in the report
  • Aerospike, Inc. (United States)
  • Amazon Web Services, Inc. (United States)
  • DataStax, Inc. (United States)
  • Microsoft Corporation (United States)
  • Couchbase, Inc. (United States)
  • Google LLC (United States)
  • MarkLogic Corporation (United States)
  • MongoDB, Inc. (United States)
  • Objectivity, Inc. (United States)
Select License Type
Sample Report Enquiry Before Buy Request Discount

Speak with Analyst

Want to find out more about this report?

Get Free Consultation