Global Cloud-based Time Series Database Market

Cloud-based Time Series Database Comprehensive Study by Application (IoT, DevOps, Analytics, Others), Pricing (Pricing as per Data, Pricing as per Query, Pricing as per Data Transfer, Others), Features (Data Storage Tiering, Autoscaling, Adaptive Query Engine, Data Lifecycle Management, Encryption, Others), Organisation Size (SMEs, Large Enterprises) Players and Region - Global Market Outlook to 2026

Cloud-based Time Series Database Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
A time-series database (TSDB) is a database designed to store data that is time-stamped or in series. Measurements or events that are tracked, monitored, downsampled, and aggregated over time are known as time series data. Server metrics, application performance monitoring, network data, sensor data, events, clicks, market transactions, and a variety of other forms of analytics data might all be included. Time series databases have unique architectural design characteristics that distinguish them from other databases. Time-stamp data storage and compression, data lifecycle management, data summarization, the capacity to perform massive time series dependent scans of numerous records, and time series aware searches are some of these features. North America is the largest market for cloud-based time-series databases.This growth is primarily driven by Need Of Cloud-Based Time Series Database to Store the Time Series Data and Increasing Data Creation by Organizations.

Globally, a noticeable market trend is evident Introduction Of Encryption in Cloud-Based Time Series Database. The Business Services sector in the North America region has been increasing at a sustainable rate and further growth is expected to be witnessed over the forecast period, owing to the robust investments and expansion in production facilities in the region. Major Players, such as Amazon (United States), Alibaba (China), InfluxData (United States), Alphabet (United States), Microsoft (United States), AVEVA (United Kingdom), Axibase (United States), IBM (United States), BangDB (India) and Dell (United States) etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

On 14th April 2021, InfluxData, the company behind the industry-leading time-series database InfluxDB, announced the public release of InfluxDB Notebooks, a new feature that enhances communication across software development teams and, as a result, increases productivity in InfluxDB Cloud. The first of the company's new features, InfluxDB Notebooks, is meant to make it easier for developers to work on time series data within the platform. Users may now build a long-lasting artefact that demonstrates how time-series data is processed to address business challenges to teams.

Market Drivers
  • Need Of Cloud-Based Time Series Database to Store the Time Series Data
  • Increasing Data Creation by Organizations

Market Trend
  • Introduction Of Encryption in Cloud-Based Time Series Database

Restraints
  • Availability Of Open-Source Alternatives

Opportunities
Increasing Use of Artificial Intelligence and Machine Learning Will Increase the Demand of Cloud-Based Time Series Database and Growing Prevalence of Cloud Start-Ups Will Boost the Demand of Cloud-Based Time Series Database
Challenges
Complex Nature of Cloud-Based Time Series Database and Few Of the Players Have Large Chunk of Market

AMA Research follow a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcase the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyse the products and services offered by multiple players competing to increase their market share and presence.

Customization in the Report
AMA Research features not only specific market forecasts, but also include significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis

Against this Challenging Backdrop, Cloud-based Time Series Database Study Sheds Light on
— The Cloud-based Time Series Database Market status quo and key characteristics. To end this, Analyst at AMA organize and took survey of the Cloud-based Time Series Database industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Cloud-based Time Series Database industry is heading and what are the top priorities. Insights are drawn from financial analysis, the survey and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold value they currently claim, or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Application
  • IoT
  • DevOps
  • Analytics
  • Others
By Pricing
  • Pricing as per Data
  • Pricing as per Query
  • Pricing as per Data Transfer
  • Others

By Features
  • Data Storage Tiering
  • Autoscaling
  • Adaptive Query Engine
  • Data Lifecycle Management
  • Encryption
  • Others

By Organisation Size
  • SMEs
  • Large Enterprises

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. Need Of Cloud-Based Time Series Database to Store the Time Series Data
      • 3.2.2. Increasing Data Creation by Organizations
    • 3.3. Market Challenges
      • 3.3.1. Complex Nature of Cloud-Based Time Series Database
      • 3.3.2. Few Of the Players Have Large Chunk of Market
    • 3.4. Market Trends
      • 3.4.1. Introduction Of Encryption in Cloud-Based Time Series Database
  • 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 Cloud-based Time Series Database, by Application, Pricing, Features, Organisation Size and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Cloud-based Time Series Database (Value)
      • 5.2.1. Global Cloud-based Time Series Database by: Application (Value)
        • 5.2.1.1. IoT
        • 5.2.1.2. DevOps
        • 5.2.1.3. Analytics
        • 5.2.1.4. Others
      • 5.2.2. Global Cloud-based Time Series Database by: Pricing (Value)
        • 5.2.2.1. Pricing as per Data
        • 5.2.2.2. Pricing as per Query
        • 5.2.2.3. Pricing as per Data Transfer
        • 5.2.2.4. Others
      • 5.2.3. Global Cloud-based Time Series Database by: Features (Value)
        • 5.2.3.1. Data Storage Tiering
        • 5.2.3.2. Autoscaling
        • 5.2.3.3. Adaptive Query Engine
        • 5.2.3.4. Data Lifecycle Management
        • 5.2.3.5. Encryption
        • 5.2.3.6. Others
      • 5.2.4. Global Cloud-based Time Series Database by: Organisation Size (Value)
        • 5.2.4.1. SMEs
        • 5.2.4.2. Large Enterprises
      • 5.2.5. Global Cloud-based Time Series 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
  • 6. Cloud-based Time Series 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 (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Amazon (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. Alibaba (China)
        • 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. InfluxData (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. Alphabet (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Microsoft (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. AVEVA (United Kingdom)
        • 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. Axibase (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. IBM (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. BangDB (India)
        • 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. Dell (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 Cloud-based Time Series Database Sale, by Application, Pricing, Features, Organisation Size and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Cloud-based Time Series Database (Value)
      • 7.2.1. Global Cloud-based Time Series Database by: Application (Value)
        • 7.2.1.1. IoT
        • 7.2.1.2. DevOps
        • 7.2.1.3. Analytics
        • 7.2.1.4. Others
      • 7.2.2. Global Cloud-based Time Series Database by: Pricing (Value)
        • 7.2.2.1. Pricing as per Data
        • 7.2.2.2. Pricing as per Query
        • 7.2.2.3. Pricing as per Data Transfer
        • 7.2.2.4. Others
      • 7.2.3. Global Cloud-based Time Series Database by: Features (Value)
        • 7.2.3.1. Data Storage Tiering
        • 7.2.3.2. Autoscaling
        • 7.2.3.3. Adaptive Query Engine
        • 7.2.3.4. Data Lifecycle Management
        • 7.2.3.5. Encryption
        • 7.2.3.6. Others
      • 7.2.4. Global Cloud-based Time Series Database by: Organisation Size (Value)
        • 7.2.4.1. SMEs
        • 7.2.4.2. Large Enterprises
      • 7.2.5. Global Cloud-based Time Series 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
  • 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. Cloud-based Time Series Database: by Application(USD Million)
  • Table 2. Cloud-based Time Series Database IoT , by Region USD Million (2015-2020)
  • Table 3. Cloud-based Time Series Database DevOps , by Region USD Million (2015-2020)
  • Table 4. Cloud-based Time Series Database Analytics , by Region USD Million (2015-2020)
  • Table 5. Cloud-based Time Series Database Others , by Region USD Million (2015-2020)
  • Table 6. Cloud-based Time Series Database: by Pricing(USD Million)
  • Table 7. Cloud-based Time Series Database Pricing as per Data , by Region USD Million (2015-2020)
  • Table 8. Cloud-based Time Series Database Pricing as per Query , by Region USD Million (2015-2020)
  • Table 9. Cloud-based Time Series Database Pricing as per Data Transfer , by Region USD Million (2015-2020)
  • Table 10. Cloud-based Time Series Database Others , by Region USD Million (2015-2020)
  • Table 11. Cloud-based Time Series Database: by Features(USD Million)
  • Table 12. Cloud-based Time Series Database Data Storage Tiering , by Region USD Million (2015-2020)
  • Table 13. Cloud-based Time Series Database Autoscaling , by Region USD Million (2015-2020)
  • Table 14. Cloud-based Time Series Database Adaptive Query Engine , by Region USD Million (2015-2020)
  • Table 15. Cloud-based Time Series Database Data Lifecycle Management , by Region USD Million (2015-2020)
  • Table 16. Cloud-based Time Series Database Encryption , by Region USD Million (2015-2020)
  • Table 17. Cloud-based Time Series Database Others , by Region USD Million (2015-2020)
  • Table 18. Cloud-based Time Series Database: by Organisation Size(USD Million)
  • Table 19. Cloud-based Time Series Database SMEs , by Region USD Million (2015-2020)
  • Table 20. Cloud-based Time Series Database Large Enterprises , by Region USD Million (2015-2020)
  • Table 21. South America Cloud-based Time Series Database, by Country USD Million (2015-2020)
  • Table 22. South America Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 23. South America Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 24. South America Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 25. South America Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 26. Brazil Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 27. Brazil Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 28. Brazil Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 29. Brazil Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 30. Argentina Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 31. Argentina Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 32. Argentina Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 33. Argentina Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 34. Rest of South America Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 35. Rest of South America Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 36. Rest of South America Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 37. Rest of South America Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 38. Asia Pacific Cloud-based Time Series Database, by Country USD Million (2015-2020)
  • Table 39. Asia Pacific Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 40. Asia Pacific Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 41. Asia Pacific Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 42. Asia Pacific Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 43. China Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 44. China Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 45. China Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 46. China Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 47. Japan Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 48. Japan Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 49. Japan Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 50. Japan Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 51. India Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 52. India Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 53. India Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 54. India Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 55. South Korea Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 56. South Korea Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 57. South Korea Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 58. South Korea Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 59. Taiwan Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 60. Taiwan Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 61. Taiwan Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 62. Taiwan Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 63. Australia Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 64. Australia Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 65. Australia Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 66. Australia Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 67. Rest of Asia-Pacific Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 68. Rest of Asia-Pacific Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 69. Rest of Asia-Pacific Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 70. Rest of Asia-Pacific Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 71. Europe Cloud-based Time Series Database, by Country USD Million (2015-2020)
  • Table 72. Europe Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 73. Europe Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 74. Europe Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 75. Europe Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 76. Germany Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 77. Germany Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 78. Germany Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 79. Germany Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 80. France Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 81. France Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 82. France Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 83. France Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 84. Italy Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 85. Italy Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 86. Italy Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 87. Italy Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 88. United Kingdom Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 89. United Kingdom Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 90. United Kingdom Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 91. United Kingdom Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 92. Netherlands Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 93. Netherlands Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 94. Netherlands Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 95. Netherlands Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 96. Rest of Europe Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 97. Rest of Europe Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 98. Rest of Europe Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 99. Rest of Europe Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 100. MEA Cloud-based Time Series Database, by Country USD Million (2015-2020)
  • Table 101. MEA Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 102. MEA Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 103. MEA Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 104. MEA Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 105. Middle East Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 106. Middle East Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 107. Middle East Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 108. Middle East Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 109. Africa Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 110. Africa Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 111. Africa Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 112. Africa Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 113. North America Cloud-based Time Series Database, by Country USD Million (2015-2020)
  • Table 114. North America Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 115. North America Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 116. North America Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 117. North America Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 118. United States Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 119. United States Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 120. United States Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 121. United States Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 122. Canada Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 123. Canada Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 124. Canada Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 125. Canada Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 126. Mexico Cloud-based Time Series Database, by Application USD Million (2015-2020)
  • Table 127. Mexico Cloud-based Time Series Database, by Pricing USD Million (2015-2020)
  • Table 128. Mexico Cloud-based Time Series Database, by Features USD Million (2015-2020)
  • Table 129. Mexico Cloud-based Time Series Database, by Organisation Size USD Million (2015-2020)
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • 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. Cloud-based Time Series Database: by Application(USD Million)
  • Table 141. Cloud-based Time Series Database IoT , by Region USD Million (2021-2026)
  • Table 142. Cloud-based Time Series Database DevOps , by Region USD Million (2021-2026)
  • Table 143. Cloud-based Time Series Database Analytics , by Region USD Million (2021-2026)
  • Table 144. Cloud-based Time Series Database Others , by Region USD Million (2021-2026)
  • Table 145. Cloud-based Time Series Database: by Pricing(USD Million)
  • Table 146. Cloud-based Time Series Database Pricing as per Data , by Region USD Million (2021-2026)
  • Table 147. Cloud-based Time Series Database Pricing as per Query , by Region USD Million (2021-2026)
  • Table 148. Cloud-based Time Series Database Pricing as per Data Transfer , by Region USD Million (2021-2026)
  • Table 149. Cloud-based Time Series Database Others , by Region USD Million (2021-2026)
  • Table 150. Cloud-based Time Series Database: by Features(USD Million)
  • Table 151. Cloud-based Time Series Database Data Storage Tiering , by Region USD Million (2021-2026)
  • Table 152. Cloud-based Time Series Database Autoscaling , by Region USD Million (2021-2026)
  • Table 153. Cloud-based Time Series Database Adaptive Query Engine , by Region USD Million (2021-2026)
  • Table 154. Cloud-based Time Series Database Data Lifecycle Management , by Region USD Million (2021-2026)
  • Table 155. Cloud-based Time Series Database Encryption , by Region USD Million (2021-2026)
  • Table 156. Cloud-based Time Series Database Others , by Region USD Million (2021-2026)
  • Table 157. Cloud-based Time Series Database: by Organisation Size(USD Million)
  • Table 158. Cloud-based Time Series Database SMEs , by Region USD Million (2021-2026)
  • Table 159. Cloud-based Time Series Database Large Enterprises , by Region USD Million (2021-2026)
  • Table 160. South America Cloud-based Time Series Database, by Country USD Million (2021-2026)
  • Table 161. South America Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 162. South America Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 163. South America Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 164. South America Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 165. Brazil Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 166. Brazil Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 167. Brazil Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 168. Brazil Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 169. Argentina Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 170. Argentina Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 171. Argentina Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 172. Argentina Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 173. Rest of South America Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 174. Rest of South America Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 175. Rest of South America Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 176. Rest of South America Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 177. Asia Pacific Cloud-based Time Series Database, by Country USD Million (2021-2026)
  • Table 178. Asia Pacific Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 179. Asia Pacific Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 180. Asia Pacific Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 181. Asia Pacific Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 182. China Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 183. China Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 184. China Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 185. China Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 186. Japan Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 187. Japan Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 188. Japan Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 189. Japan Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 190. India Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 191. India Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 192. India Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 193. India Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 194. South Korea Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 195. South Korea Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 196. South Korea Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 197. South Korea Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 198. Taiwan Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 199. Taiwan Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 200. Taiwan Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 201. Taiwan Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 202. Australia Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 203. Australia Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 204. Australia Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 205. Australia Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 206. Rest of Asia-Pacific Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 207. Rest of Asia-Pacific Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 208. Rest of Asia-Pacific Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 209. Rest of Asia-Pacific Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 210. Europe Cloud-based Time Series Database, by Country USD Million (2021-2026)
  • Table 211. Europe Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 212. Europe Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 213. Europe Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 214. Europe Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 215. Germany Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 216. Germany Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 217. Germany Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 218. Germany Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 219. France Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 220. France Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 221. France Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 222. France Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 223. Italy Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 224. Italy Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 225. Italy Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 226. Italy Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 227. United Kingdom Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 228. United Kingdom Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 229. United Kingdom Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 230. United Kingdom Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 231. Netherlands Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 232. Netherlands Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 233. Netherlands Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 234. Netherlands Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 235. Rest of Europe Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 236. Rest of Europe Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 237. Rest of Europe Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 238. Rest of Europe Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 239. MEA Cloud-based Time Series Database, by Country USD Million (2021-2026)
  • Table 240. MEA Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 241. MEA Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 242. MEA Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 243. MEA Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 244. Middle East Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 245. Middle East Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 246. Middle East Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 247. Middle East Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 248. Africa Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 249. Africa Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 250. Africa Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 251. Africa Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 252. North America Cloud-based Time Series Database, by Country USD Million (2021-2026)
  • Table 253. North America Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 254. North America Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 255. North America Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 256. North America Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 257. United States Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 258. United States Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 259. United States Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 260. United States Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 261. Canada Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 262. Canada Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 263. Canada Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 264. Canada Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 265. Mexico Cloud-based Time Series Database, by Application USD Million (2021-2026)
  • Table 266. Mexico Cloud-based Time Series Database, by Pricing USD Million (2021-2026)
  • Table 267. Mexico Cloud-based Time Series Database, by Features USD Million (2021-2026)
  • Table 268. Mexico Cloud-based Time Series Database, by Organisation Size USD Million (2021-2026)
  • Table 269. Research Programs/Design for This Report
  • Table 270. Key Data Information from Secondary Sources
  • Table 271. 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 Cloud-based Time Series Database: by Application USD Million (2015-2020)
  • Figure 5. Global Cloud-based Time Series Database: by Pricing USD Million (2015-2020)
  • Figure 6. Global Cloud-based Time Series Database: by Features USD Million (2015-2020)
  • Figure 7. Global Cloud-based Time Series Database: by Organisation Size USD Million (2015-2020)
  • Figure 8. South America Cloud-based Time Series Database Share (%), by Country
  • Figure 9. Asia Pacific Cloud-based Time Series Database Share (%), by Country
  • Figure 10. Europe Cloud-based Time Series Database Share (%), by Country
  • Figure 11. MEA Cloud-based Time Series Database Share (%), by Country
  • Figure 12. North America Cloud-based Time Series Database Share (%), by Country
  • Figure 13. Global Cloud-based Time Series Database share by Players 2020 (%)
  • Figure 14. Global Cloud-based Time Series Database share by Players (Top 3) 2020(%)
  • Figure 15. Global Cloud-based Time Series Database share by Players (Top 5) 2020(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Amazon (United States) Revenue, Net Income and Gross profit
  • Figure 18. Amazon (United States) Revenue: by Geography 2020
  • Figure 19. Alibaba (China) Revenue, Net Income and Gross profit
  • Figure 20. Alibaba (China) Revenue: by Geography 2020
  • Figure 21. InfluxData (United States) Revenue, Net Income and Gross profit
  • Figure 22. InfluxData (United States) Revenue: by Geography 2020
  • Figure 23. Alphabet (United States) Revenue, Net Income and Gross profit
  • Figure 24. Alphabet (United States) Revenue: by Geography 2020
  • Figure 25. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 26. Microsoft (United States) Revenue: by Geography 2020
  • Figure 27. AVEVA (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 28. AVEVA (United Kingdom) Revenue: by Geography 2020
  • Figure 29. Axibase (United States) Revenue, Net Income and Gross profit
  • Figure 30. Axibase (United States) Revenue: by Geography 2020
  • Figure 31. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 32. IBM (United States) Revenue: by Geography 2020
  • Figure 33. BangDB (India) Revenue, Net Income and Gross profit
  • Figure 34. BangDB (India) Revenue: by Geography 2020
  • Figure 35. Dell (United States) Revenue, Net Income and Gross profit
  • Figure 36. Dell (United States) Revenue: by Geography 2020
  • Figure 37. Global Cloud-based Time Series Database: by Application USD Million (2021-2026)
  • Figure 38. Global Cloud-based Time Series Database: by Pricing USD Million (2021-2026)
  • Figure 39. Global Cloud-based Time Series Database: by Features USD Million (2021-2026)
  • Figure 40. Global Cloud-based Time Series Database: by Organisation Size USD Million (2021-2026)
  • Figure 41. South America Cloud-based Time Series Database Share (%), by Country
  • Figure 42. Asia Pacific Cloud-based Time Series Database Share (%), by Country
  • Figure 43. Europe Cloud-based Time Series Database Share (%), by Country
  • Figure 44. MEA Cloud-based Time Series Database Share (%), by Country
  • Figure 45. North America Cloud-based Time Series Database Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Amazon (United States)
  • Alibaba (China)
  • InfluxData (United States)
  • Alphabet (United States)
  • Microsoft (United States)
  • AVEVA (United Kingdom)
  • Axibase (United States)
  • IBM (United States)
  • BangDB (India)
  • Dell (United States)
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Jun 2021 237 Pages 72 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Cloud-based Time Series Database Market Quantitative research analysis
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Historical year: 2016-2020; Base year: 2020; Forecast period: 2021 to 2026
Companies that are profiled in Global Cloud-based Time Series Database Market are Amazon (United States), Alibaba (China), InfluxData (United States), Alphabet (United States), Microsoft (United States), AVEVA (United Kingdom), Axibase (United States), IBM (United States), BangDB (India) and Dell (United States) etc.
A time-series database (TSDB) is a database designed to store data that is time-stamped or in series. Measurements or events that are tracked, monitored, downsampled, and aggregated over time are known as time series data. Server metrics, application performance monitoring, network data, sensor data, events, clicks, market transactions, and a variety of other forms of analytics data might all be included. Time series databases have unique architectural design characteristics that distinguish them from other databases. Time-stamp data storage and compression, data lifecycle management, data summarization, the capacity to perform massive time series dependent scans of numerous records, and time series aware searches are some of these features. North America is the largest market for cloud-based time-series databases.

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