Global NoSQL Database

NoSQL Database Comprehensive Study by Type (Key Value Stores, Document Databases, Column-Family Stores, Graph Databases), Application (Data Storage, Mobile Apps, Data Analytics, Web Apps, Others), Industry Verticles (Retail, Gaming, IT, Healthcare, Other), Deployment Model (On-premises, Cloud-based, Hybrid) Players and Region - Global Market Outlook to 2030

NoSQL Database Market by XX Submarkets | Forecast Years 2024-2030  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About NoSQL Database
NoSQL databases can store data in documents rather than relational tables. However, it classifies not only SQL and subdivides it by a variety of flexible data models. There are various types of NoSQL databases include pure document databases, key-value stores, wide-column database,s and graph databases. NoSQL databases are built for the storage of data and process huge amounts of data at a large scale and support a growing number of modern businesses. Geographically, North America is a widely used No SQL database owing to advanced technology and a large amount of data present in the market which is triggering the market growth over the forecast period.

AttributesDetails
Study Period2018-2030
Base Year2023
UnitValue (USD Million)


The market of NoSQL is growing to presence large data in various filed such as social media and eCommerce, however, due to this, the market of the information and telecom sector is growing. Increasing advancements in technology such as big data are driving the demand for the market. Several companies and intuitional are operating in the market to provide offers with various features & unique prices. The market is total fragmented with the presence of several market players and local database providers. Hence the market is to grow over the forecast period Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global NoSQL Database market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

MongoDB (United States), Hitachi (Japan), Gerdau (Brazil), Sasol (South Africa), LG Electronics (South Korea), Honeywell (United States), 3M (United States), GE Aviation (United States), Ericsson (Sweden) and Hitachi (Japan) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are Tesla (United States), Siemens (Germany), Schneider Electric (France), Samsung Electronics (South Korea) and Alibaba Group (China).

Segmentation Overview
AMA Research has segmented the market of Global NoSQL Database market by Type (Key Value Stores, Document Databases, Column-Family Stores and Graph Databases), Application (Data Storage, Mobile Apps, Data Analytics, Web Apps and Others) and Region.



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

Influencing Trend:
The most trending NoSQL Database is PostgreSQL, MongoDB, and MySQL

Market Growth Drivers:
RDBMS databases installation is expensive and its proprietary servers, while NoSQL databases can be easily installed in cheap and RDBMSs is not easy to scale-out commodity clusters, but NoSQL databases are made for transparent expansion for a user to interact

Challenges:
The application needs consistent backups and Recovery after reconfiguration, recovery is challenging due to the changing nature of clustered systems flow

Restraints:
Nosql databases don't have reliability functions. and NoSQL is not compatible with SQL

Opportunities:
Growing of data in the various ed-tech firms is building opportunities for usage of NoSQL and As the Presence of large in today world, however, it to create large job opening in the market

Market Leaders and their expansionary development strategies
In October 2023, Microsoft Azure and ArangoDB partner to integrate ArangoDB into Azure Cosmos DB, providing developers with a wider choice of NoSQL database solutions
In November 2023, ArangoDB 3.7 introduces improved document sharding and automatic failover mechanisms for enhanced operational resilience


Key Target Audience
Information Technology industries, Regulatory Authorities, New Entrants/Investors, Strategic Business Planners, Governments and End-Use Industry

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

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, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Type
  • Key Value Stores
  • Document Databases
  • Column-Family Stores
  • Graph Databases
By Application
  • Data Storage
  • Mobile Apps
  • Data Analytics
  • Web Apps
  • Others
By Industry Verticles
  • Retail
  • Gaming
  • IT
  • Healthcare
  • Other

By Deployment Model
  • On-premises
  • Cloud-based
  • Hybrid

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. RDBMS databases installation is expensive and its proprietary servers, while NoSQL databases can be easily installed in cheap
      • 3.2.2. RDBMSs is not easy to scale-out commodity clusters, but NoSQL databases are made for transparent expansion for a user to interact
    • 3.3. Market Challenges
      • 3.3.1. The application needs consistent backups
      • 3.3.2. Recovery after reconfiguration, recovery is challenging due to the changing nature of clustered systems flow
    • 3.4. Market Trends
      • 3.4.1. The most trending NoSQL Database is PostgreSQL, MongoDB, and MySQL
  • 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 Database, by Type, Application, Industry Verticles, Deployment Model and Region (value and price ) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global NoSQL Database (Value)
      • 5.2.1. Global NoSQL Database by: Type (Value)
        • 5.2.1.1. Key Value Stores
        • 5.2.1.2. Document Databases
        • 5.2.1.3. Column-Family Stores
        • 5.2.1.4. Graph Databases
      • 5.2.2. Global NoSQL Database by: Application (Value)
        • 5.2.2.1. Data Storage
        • 5.2.2.2. Mobile Apps
        • 5.2.2.3. Data Analytics
        • 5.2.2.4. Web Apps
        • 5.2.2.5. Others
      • 5.2.3. Global NoSQL Database by: Industry Verticles (Value)
        • 5.2.3.1. Retail
        • 5.2.3.2. Gaming
        • 5.2.3.3. IT
        • 5.2.3.4. Healthcare
        • 5.2.3.5. Other
      • 5.2.4. Global NoSQL Database by: Deployment Model (Value)
        • 5.2.4.1. On-premises
        • 5.2.4.2. Cloud-based
        • 5.2.4.3. Hybrid
      • 5.2.5. Global NoSQL Database 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 Database (Price)
      • 5.3.1. Global NoSQL Database by: Type (Price)
  • 6. NoSQL Database: 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 (2023)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. MongoDB (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. Hitachi (Japan)
        • 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. Gerdau (Brazil)
        • 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. Sasol (South Africa)
        • 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. LG Electronics (South Korea)
        • 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. Honeywell (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. 3M (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. GE Aviation (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. Ericsson (Sweden)
        • 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. Hitachi (Japan)
        • 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 NoSQL Database Sale, by Type, Application, Industry Verticles, Deployment Model and Region (value and price ) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global NoSQL Database (Value)
      • 7.2.1. Global NoSQL Database by: Type (Value)
        • 7.2.1.1. Key Value Stores
        • 7.2.1.2. Document Databases
        • 7.2.1.3. Column-Family Stores
        • 7.2.1.4. Graph Databases
      • 7.2.2. Global NoSQL Database by: Application (Value)
        • 7.2.2.1. Data Storage
        • 7.2.2.2. Mobile Apps
        • 7.2.2.3. Data Analytics
        • 7.2.2.4. Web Apps
        • 7.2.2.5. Others
      • 7.2.3. Global NoSQL Database by: Industry Verticles (Value)
        • 7.2.3.1. Retail
        • 7.2.3.2. Gaming
        • 7.2.3.3. IT
        • 7.2.3.4. Healthcare
        • 7.2.3.5. Other
      • 7.2.4. Global NoSQL Database by: Deployment Model (Value)
        • 7.2.4.1. On-premises
        • 7.2.4.2. Cloud-based
        • 7.2.4.3. Hybrid
      • 7.2.5. Global NoSQL Database 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 Database (Price)
      • 7.3.1. Global NoSQL Database 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 Database: by Type(USD Million)
  • Table 2. NoSQL Database Key Value Stores , by Region USD Million (2018-2023)
  • Table 3. NoSQL Database Document Databases , by Region USD Million (2018-2023)
  • Table 4. NoSQL Database Column-Family Stores , by Region USD Million (2018-2023)
  • Table 5. NoSQL Database Graph Databases , by Region USD Million (2018-2023)
  • Table 6. NoSQL Database: by Application(USD Million)
  • Table 7. NoSQL Database Data Storage , by Region USD Million (2018-2023)
  • Table 8. NoSQL Database Mobile Apps , by Region USD Million (2018-2023)
  • Table 9. NoSQL Database Data Analytics , by Region USD Million (2018-2023)
  • Table 10. NoSQL Database Web Apps , by Region USD Million (2018-2023)
  • Table 11. NoSQL Database Others , by Region USD Million (2018-2023)
  • Table 12. NoSQL Database: by Industry Verticles(USD Million)
  • Table 13. NoSQL Database Retail , by Region USD Million (2018-2023)
  • Table 14. NoSQL Database Gaming , by Region USD Million (2018-2023)
  • Table 15. NoSQL Database IT , by Region USD Million (2018-2023)
  • Table 16. NoSQL Database Healthcare , by Region USD Million (2018-2023)
  • Table 17. NoSQL Database Other , by Region USD Million (2018-2023)
  • Table 18. NoSQL Database: by Deployment Model(USD Million)
  • Table 19. NoSQL Database On-premises , by Region USD Million (2018-2023)
  • Table 20. NoSQL Database Cloud-based , by Region USD Million (2018-2023)
  • Table 21. NoSQL Database Hybrid , by Region USD Million (2018-2023)
  • Table 22. South America NoSQL Database, by Country USD Million (2018-2023)
  • Table 23. South America NoSQL Database, by Type USD Million (2018-2023)
  • Table 24. South America NoSQL Database, by Application USD Million (2018-2023)
  • Table 25. South America NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 26. South America NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 27. Brazil NoSQL Database, by Type USD Million (2018-2023)
  • Table 28. Brazil NoSQL Database, by Application USD Million (2018-2023)
  • Table 29. Brazil NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 30. Brazil NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 31. Argentina NoSQL Database, by Type USD Million (2018-2023)
  • Table 32. Argentina NoSQL Database, by Application USD Million (2018-2023)
  • Table 33. Argentina NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 34. Argentina NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 35. Rest of South America NoSQL Database, by Type USD Million (2018-2023)
  • Table 36. Rest of South America NoSQL Database, by Application USD Million (2018-2023)
  • Table 37. Rest of South America NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 38. Rest of South America NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 39. Asia Pacific NoSQL Database, by Country USD Million (2018-2023)
  • Table 40. Asia Pacific NoSQL Database, by Type USD Million (2018-2023)
  • Table 41. Asia Pacific NoSQL Database, by Application USD Million (2018-2023)
  • Table 42. Asia Pacific NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 43. Asia Pacific NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 44. China NoSQL Database, by Type USD Million (2018-2023)
  • Table 45. China NoSQL Database, by Application USD Million (2018-2023)
  • Table 46. China NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 47. China NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 48. Japan NoSQL Database, by Type USD Million (2018-2023)
  • Table 49. Japan NoSQL Database, by Application USD Million (2018-2023)
  • Table 50. Japan NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 51. Japan NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 52. India NoSQL Database, by Type USD Million (2018-2023)
  • Table 53. India NoSQL Database, by Application USD Million (2018-2023)
  • Table 54. India NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 55. India NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 56. South Korea NoSQL Database, by Type USD Million (2018-2023)
  • Table 57. South Korea NoSQL Database, by Application USD Million (2018-2023)
  • Table 58. South Korea NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 59. South Korea NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 60. Taiwan NoSQL Database, by Type USD Million (2018-2023)
  • Table 61. Taiwan NoSQL Database, by Application USD Million (2018-2023)
  • Table 62. Taiwan NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 63. Taiwan NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 64. Australia NoSQL Database, by Type USD Million (2018-2023)
  • Table 65. Australia NoSQL Database, by Application USD Million (2018-2023)
  • Table 66. Australia NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 67. Australia NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 68. Rest of Asia-Pacific NoSQL Database, by Type USD Million (2018-2023)
  • Table 69. Rest of Asia-Pacific NoSQL Database, by Application USD Million (2018-2023)
  • Table 70. Rest of Asia-Pacific NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 71. Rest of Asia-Pacific NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 72. Europe NoSQL Database, by Country USD Million (2018-2023)
  • Table 73. Europe NoSQL Database, by Type USD Million (2018-2023)
  • Table 74. Europe NoSQL Database, by Application USD Million (2018-2023)
  • Table 75. Europe NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 76. Europe NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 77. Germany NoSQL Database, by Type USD Million (2018-2023)
  • Table 78. Germany NoSQL Database, by Application USD Million (2018-2023)
  • Table 79. Germany NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 80. Germany NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 81. France NoSQL Database, by Type USD Million (2018-2023)
  • Table 82. France NoSQL Database, by Application USD Million (2018-2023)
  • Table 83. France NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 84. France NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 85. Italy NoSQL Database, by Type USD Million (2018-2023)
  • Table 86. Italy NoSQL Database, by Application USD Million (2018-2023)
  • Table 87. Italy NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 88. Italy NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 89. United Kingdom NoSQL Database, by Type USD Million (2018-2023)
  • Table 90. United Kingdom NoSQL Database, by Application USD Million (2018-2023)
  • Table 91. United Kingdom NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 92. United Kingdom NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 93. Netherlands NoSQL Database, by Type USD Million (2018-2023)
  • Table 94. Netherlands NoSQL Database, by Application USD Million (2018-2023)
  • Table 95. Netherlands NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 96. Netherlands NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 97. Rest of Europe NoSQL Database, by Type USD Million (2018-2023)
  • Table 98. Rest of Europe NoSQL Database, by Application USD Million (2018-2023)
  • Table 99. Rest of Europe NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 100. Rest of Europe NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 101. MEA NoSQL Database, by Country USD Million (2018-2023)
  • Table 102. MEA NoSQL Database, by Type USD Million (2018-2023)
  • Table 103. MEA NoSQL Database, by Application USD Million (2018-2023)
  • Table 104. MEA NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 105. MEA NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 106. Middle East NoSQL Database, by Type USD Million (2018-2023)
  • Table 107. Middle East NoSQL Database, by Application USD Million (2018-2023)
  • Table 108. Middle East NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 109. Middle East NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 110. Africa NoSQL Database, by Type USD Million (2018-2023)
  • Table 111. Africa NoSQL Database, by Application USD Million (2018-2023)
  • Table 112. Africa NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 113. Africa NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 114. North America NoSQL Database, by Country USD Million (2018-2023)
  • Table 115. North America NoSQL Database, by Type USD Million (2018-2023)
  • Table 116. North America NoSQL Database, by Application USD Million (2018-2023)
  • Table 117. North America NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 118. North America NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 119. United States NoSQL Database, by Type USD Million (2018-2023)
  • Table 120. United States NoSQL Database, by Application USD Million (2018-2023)
  • Table 121. United States NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 122. United States NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 123. Canada NoSQL Database, by Type USD Million (2018-2023)
  • Table 124. Canada NoSQL Database, by Application USD Million (2018-2023)
  • Table 125. Canada NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 126. Canada NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 127. Mexico NoSQL Database, by Type USD Million (2018-2023)
  • Table 128. Mexico NoSQL Database, by Application USD Million (2018-2023)
  • Table 129. Mexico NoSQL Database, by Industry Verticles USD Million (2018-2023)
  • Table 130. Mexico NoSQL Database, by Deployment Model USD Million (2018-2023)
  • Table 131. NoSQL Database: by Type(USD/Units)
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Company Basic Information, Sales Area and Its Competitors
  • Table 141. Company Basic Information, Sales Area and Its Competitors
  • Table 142. NoSQL Database: by Type(USD Million)
  • Table 143. NoSQL Database Key Value Stores , by Region USD Million (2025-2030)
  • Table 144. NoSQL Database Document Databases , by Region USD Million (2025-2030)
  • Table 145. NoSQL Database Column-Family Stores , by Region USD Million (2025-2030)
  • Table 146. NoSQL Database Graph Databases , by Region USD Million (2025-2030)
  • Table 147. NoSQL Database: by Application(USD Million)
  • Table 148. NoSQL Database Data Storage , by Region USD Million (2025-2030)
  • Table 149. NoSQL Database Mobile Apps , by Region USD Million (2025-2030)
  • Table 150. NoSQL Database Data Analytics , by Region USD Million (2025-2030)
  • Table 151. NoSQL Database Web Apps , by Region USD Million (2025-2030)
  • Table 152. NoSQL Database Others , by Region USD Million (2025-2030)
  • Table 153. NoSQL Database: by Industry Verticles(USD Million)
  • Table 154. NoSQL Database Retail , by Region USD Million (2025-2030)
  • Table 155. NoSQL Database Gaming , by Region USD Million (2025-2030)
  • Table 156. NoSQL Database IT , by Region USD Million (2025-2030)
  • Table 157. NoSQL Database Healthcare , by Region USD Million (2025-2030)
  • Table 158. NoSQL Database Other , by Region USD Million (2025-2030)
  • Table 159. NoSQL Database: by Deployment Model(USD Million)
  • Table 160. NoSQL Database On-premises , by Region USD Million (2025-2030)
  • Table 161. NoSQL Database Cloud-based , by Region USD Million (2025-2030)
  • Table 162. NoSQL Database Hybrid , by Region USD Million (2025-2030)
  • Table 163. South America NoSQL Database, by Country USD Million (2025-2030)
  • Table 164. South America NoSQL Database, by Type USD Million (2025-2030)
  • Table 165. South America NoSQL Database, by Application USD Million (2025-2030)
  • Table 166. South America NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 167. South America NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 168. Brazil NoSQL Database, by Type USD Million (2025-2030)
  • Table 169. Brazil NoSQL Database, by Application USD Million (2025-2030)
  • Table 170. Brazil NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 171. Brazil NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 172. Argentina NoSQL Database, by Type USD Million (2025-2030)
  • Table 173. Argentina NoSQL Database, by Application USD Million (2025-2030)
  • Table 174. Argentina NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 175. Argentina NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 176. Rest of South America NoSQL Database, by Type USD Million (2025-2030)
  • Table 177. Rest of South America NoSQL Database, by Application USD Million (2025-2030)
  • Table 178. Rest of South America NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 179. Rest of South America NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 180. Asia Pacific NoSQL Database, by Country USD Million (2025-2030)
  • Table 181. Asia Pacific NoSQL Database, by Type USD Million (2025-2030)
  • Table 182. Asia Pacific NoSQL Database, by Application USD Million (2025-2030)
  • Table 183. Asia Pacific NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 184. Asia Pacific NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 185. China NoSQL Database, by Type USD Million (2025-2030)
  • Table 186. China NoSQL Database, by Application USD Million (2025-2030)
  • Table 187. China NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 188. China NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 189. Japan NoSQL Database, by Type USD Million (2025-2030)
  • Table 190. Japan NoSQL Database, by Application USD Million (2025-2030)
  • Table 191. Japan NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 192. Japan NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 193. India NoSQL Database, by Type USD Million (2025-2030)
  • Table 194. India NoSQL Database, by Application USD Million (2025-2030)
  • Table 195. India NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 196. India NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 197. South Korea NoSQL Database, by Type USD Million (2025-2030)
  • Table 198. South Korea NoSQL Database, by Application USD Million (2025-2030)
  • Table 199. South Korea NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 200. South Korea NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 201. Taiwan NoSQL Database, by Type USD Million (2025-2030)
  • Table 202. Taiwan NoSQL Database, by Application USD Million (2025-2030)
  • Table 203. Taiwan NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 204. Taiwan NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 205. Australia NoSQL Database, by Type USD Million (2025-2030)
  • Table 206. Australia NoSQL Database, by Application USD Million (2025-2030)
  • Table 207. Australia NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 208. Australia NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 209. Rest of Asia-Pacific NoSQL Database, by Type USD Million (2025-2030)
  • Table 210. Rest of Asia-Pacific NoSQL Database, by Application USD Million (2025-2030)
  • Table 211. Rest of Asia-Pacific NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 212. Rest of Asia-Pacific NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 213. Europe NoSQL Database, by Country USD Million (2025-2030)
  • Table 214. Europe NoSQL Database, by Type USD Million (2025-2030)
  • Table 215. Europe NoSQL Database, by Application USD Million (2025-2030)
  • Table 216. Europe NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 217. Europe NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 218. Germany NoSQL Database, by Type USD Million (2025-2030)
  • Table 219. Germany NoSQL Database, by Application USD Million (2025-2030)
  • Table 220. Germany NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 221. Germany NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 222. France NoSQL Database, by Type USD Million (2025-2030)
  • Table 223. France NoSQL Database, by Application USD Million (2025-2030)
  • Table 224. France NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 225. France NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 226. Italy NoSQL Database, by Type USD Million (2025-2030)
  • Table 227. Italy NoSQL Database, by Application USD Million (2025-2030)
  • Table 228. Italy NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 229. Italy NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 230. United Kingdom NoSQL Database, by Type USD Million (2025-2030)
  • Table 231. United Kingdom NoSQL Database, by Application USD Million (2025-2030)
  • Table 232. United Kingdom NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 233. United Kingdom NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 234. Netherlands NoSQL Database, by Type USD Million (2025-2030)
  • Table 235. Netherlands NoSQL Database, by Application USD Million (2025-2030)
  • Table 236. Netherlands NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 237. Netherlands NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 238. Rest of Europe NoSQL Database, by Type USD Million (2025-2030)
  • Table 239. Rest of Europe NoSQL Database, by Application USD Million (2025-2030)
  • Table 240. Rest of Europe NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 241. Rest of Europe NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 242. MEA NoSQL Database, by Country USD Million (2025-2030)
  • Table 243. MEA NoSQL Database, by Type USD Million (2025-2030)
  • Table 244. MEA NoSQL Database, by Application USD Million (2025-2030)
  • Table 245. MEA NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 246. MEA NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 247. Middle East NoSQL Database, by Type USD Million (2025-2030)
  • Table 248. Middle East NoSQL Database, by Application USD Million (2025-2030)
  • Table 249. Middle East NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 250. Middle East NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 251. Africa NoSQL Database, by Type USD Million (2025-2030)
  • Table 252. Africa NoSQL Database, by Application USD Million (2025-2030)
  • Table 253. Africa NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 254. Africa NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 255. North America NoSQL Database, by Country USD Million (2025-2030)
  • Table 256. North America NoSQL Database, by Type USD Million (2025-2030)
  • Table 257. North America NoSQL Database, by Application USD Million (2025-2030)
  • Table 258. North America NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 259. North America NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 260. United States NoSQL Database, by Type USD Million (2025-2030)
  • Table 261. United States NoSQL Database, by Application USD Million (2025-2030)
  • Table 262. United States NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 263. United States NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 264. Canada NoSQL Database, by Type USD Million (2025-2030)
  • Table 265. Canada NoSQL Database, by Application USD Million (2025-2030)
  • Table 266. Canada NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 267. Canada NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 268. Mexico NoSQL Database, by Type USD Million (2025-2030)
  • Table 269. Mexico NoSQL Database, by Application USD Million (2025-2030)
  • Table 270. Mexico NoSQL Database, by Industry Verticles USD Million (2025-2030)
  • Table 271. Mexico NoSQL Database, by Deployment Model USD Million (2025-2030)
  • Table 272. NoSQL Database: by Type(USD/Units)
  • Table 273. Research Programs/Design for This Report
  • Table 274. Key Data Information from Secondary Sources
  • Table 275. 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 Database: by Type USD Million (2018-2023)
  • Figure 5. Global NoSQL Database: by Application USD Million (2018-2023)
  • Figure 6. Global NoSQL Database: by Industry Verticles USD Million (2018-2023)
  • Figure 7. Global NoSQL Database: by Deployment Model USD Million (2018-2023)
  • Figure 8. South America NoSQL Database Share (%), by Country
  • Figure 9. Asia Pacific NoSQL Database Share (%), by Country
  • Figure 10. Europe NoSQL Database Share (%), by Country
  • Figure 11. MEA NoSQL Database Share (%), by Country
  • Figure 12. North America NoSQL Database Share (%), by Country
  • Figure 13. Global NoSQL Database: by Type USD/Units (2018-2023)
  • Figure 14. Global NoSQL Database share by Players 2023 (%)
  • Figure 15. Global NoSQL Database share by Players (Top 3) 2023(%)
  • Figure 16. Global NoSQL Database share by Players (Top 5) 2023(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. MongoDB (United States) Revenue, Net Income and Gross profit
  • Figure 19. MongoDB (United States) Revenue: by Geography 2023
  • Figure 20. Hitachi (Japan) Revenue, Net Income and Gross profit
  • Figure 21. Hitachi (Japan) Revenue: by Geography 2023
  • Figure 22. Gerdau (Brazil) Revenue, Net Income and Gross profit
  • Figure 23. Gerdau (Brazil) Revenue: by Geography 2023
  • Figure 24. Sasol (South Africa) Revenue, Net Income and Gross profit
  • Figure 25. Sasol (South Africa) Revenue: by Geography 2023
  • Figure 26. LG Electronics (South Korea) Revenue, Net Income and Gross profit
  • Figure 27. LG Electronics (South Korea) Revenue: by Geography 2023
  • Figure 28. Honeywell (United States) Revenue, Net Income and Gross profit
  • Figure 29. Honeywell (United States) Revenue: by Geography 2023
  • Figure 30. 3M (United States) Revenue, Net Income and Gross profit
  • Figure 31. 3M (United States) Revenue: by Geography 2023
  • Figure 32. GE Aviation (United States) Revenue, Net Income and Gross profit
  • Figure 33. GE Aviation (United States) Revenue: by Geography 2023
  • Figure 34. Ericsson (Sweden) Revenue, Net Income and Gross profit
  • Figure 35. Ericsson (Sweden) Revenue: by Geography 2023
  • Figure 36. Hitachi (Japan) Revenue, Net Income and Gross profit
  • Figure 37. Hitachi (Japan) Revenue: by Geography 2023
  • Figure 38. Global NoSQL Database: by Type USD Million (2025-2030)
  • Figure 39. Global NoSQL Database: by Application USD Million (2025-2030)
  • Figure 40. Global NoSQL Database: by Industry Verticles USD Million (2025-2030)
  • Figure 41. Global NoSQL Database: by Deployment Model USD Million (2025-2030)
  • Figure 42. South America NoSQL Database Share (%), by Country
  • Figure 43. Asia Pacific NoSQL Database Share (%), by Country
  • Figure 44. Europe NoSQL Database Share (%), by Country
  • Figure 45. MEA NoSQL Database Share (%), by Country
  • Figure 46. North America NoSQL Database Share (%), by Country
  • Figure 47. Global NoSQL Database: by Type USD/Units (2025-2030)
List of companies from research coverage that are profiled in the study
  • MongoDB (United States)
  • Hitachi (Japan)
  • Gerdau (Brazil)
  • Sasol (South Africa)
  • LG Electronics (South Korea)
  • Honeywell (United States)
  • 3M (United States)
  • GE Aviation (United States)
  • Ericsson (Sweden)
  • Hitachi (Japan)
Additional players considered in the study are as follows:
Tesla (United States) , Siemens (Germany) , Schneider Electric (France) , Samsung Electronics (South Korea) , Alibaba Group (China)
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Nov 2024 224 Pages 97 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Global NoSQL Database Quantitative research analysis
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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as MongoDB (United States), Hitachi (Japan), Gerdau (Brazil), Sasol (South Africa), LG Electronics (South Korea), Honeywell (United States), 3M (United States), GE Aviation (United States), Ericsson (Sweden) and Hitachi (Japan) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"The most trending NoSQL Database is PostgreSQL, MongoDB, and MySQL" is seen as one of major influencing trends for NoSQL Database Market during projected period 2023-2030.
The NoSQL Database market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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