The global time series databases software market is expected to grow at a CAGR of around 16.5% during the forecast period, from 2021 to 2030. The market is driven by the increasing need for real-time data analytics and predictive analysis in various industries such as manufacturing, healthcare, retail, and finance. The increasing adoption of IoT devices has also led to an increase in the demand for time series databases software solutions.
Cloubased: Cloubased time series databases software are used for storing and analyzing data that changes over time. They are used in applications such as monitoring systems or process control systems where data needs to be analyzed on a continuous basis. Cloubased solutions are typically deployed by large enterprises with high volumes of data that need real-time analysis capabilities.
Webased: Webased time series databases software store and analyze data that changes over time using a web-enabled interface which can be accessed through any device connected to the internet or intranet network including desktops, laptops, tablets, smartphones etc, without requiring any installation on these devices. These solutions are typically deployed by SMEs with low volumes of data that require real-time analysis capabilities but do not have access to expensive hardware or IT infrastructure required for cloubased solutions deployment.
-The market for time series databases software is expected to grow at a CAGR of over 20% from 2017 to 2022.
-The growth in the market is attributed to the increasing demand for real-time data analytics and IoT applications.
-Increasing need for data storage and processing power has also led to an increase in the demand for time series databases software.
-The need for better security, scalability, and performance has also led to an increase in the demand for time series databases software.
-Increasing adoption of cloud computing services by enterprises has also led to an increase in the demand for time series databases software.
Industry Growth Insights published a new data on “Time Series Databases Software Market”. The research report is titled “Time Series Databases Software Market research by Types (Cloud-based, Web-based, Time Series Databases Softwar), By Applications (Large Enterprises, SMEs), By Players/Companies InfluxData, Trendalyze, Amazon Timestream, DataStax, Prometheus, QuasarDB, Warp 10, InfluxDB, kdb+, Actian X, Axibase Time Series Database, Time Series Databases Softwar”.
Scope Of The Report
Report Attributes
Report Details
Report Title
Time Series Databases Software Market Research Report
By Type
Cloud-based, Web-based, Time Series Databases Softwar
By Application
Large Enterprises, SMEs
By Companies
InfluxData, Trendalyze, Amazon Timestream, DataStax, Prometheus, QuasarDB, Warp 10, InfluxDB, kdb+, Actian X, Axibase Time Series Database, Time Series Databases Softwar
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
240
Number of Tables & Figures
168
Customization Available
Yes, the report can be customized as per your need.
Global Time Series Databases Software Market Report Segments:
The global Time Series Databases Software market is segmented on the basis of:
Types
Cloud-based, Web-based, Time Series Databases Softwar
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Large Enterprises, SMEs
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- InfluxData
- Trendalyze
- Amazon Timestream
- DataStax
- Prometheus
- QuasarDB
- Warp 10
- InfluxDB
- kdb+
- Actian X
- Axibase Time Series Database
- Time Series Databases Softwar
Highlights of The Time Series Databases Software Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Cloud-based
- Web-based
- Time Series Databases Softwar
- By Application:
- Large Enterprises
- SMEs
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Time Series Databases Software Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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- Correctly Positioning New Products
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- Product & Brand Management
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Time series databases are software that allow users to store and analyze time-series data. This type of database can be used for tracking events, trends, or performance over time.
Some of the major players in the time series databases software market are InfluxData, Trendalyze, Amazon Timestream, DataStax, Prometheus, QuasarDB, Warp 10, InfluxDB, kdb+, Actian X, Axibase Time Series Database, Time Series Databases Softwar.
The time series databases software market is expected to grow at a compound annual growth rate of 16.5%.
1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Time Series Databases Software Market Overview
4.1. Introduction
4.1.1. Market Taxonomy
4.1.2. Market Definition
4.2. Macro-Economic Factors
4.2.1. Industry Outlook
4.3. Time Series Databases Software Market Dynamics
4.3.1. Market Drivers
4.3.2. Market Restraints
4.3.3. Opportunity
4.3.4. Market Trends
4.4. Time Series Databases Software Market - Supply Chain
4.5. Global Time Series Databases Software Market Forecast
4.5.1. Time Series Databases Software Market Size (US$ Mn) and Y-o-Y Growth
4.5.2. Time Series Databases Software Market Size (000 Units) and Y-o-Y Growth
4.5.3. Time Series Databases Software Market Absolute $ Opportunity
5. Global Time Series Databases Software Market Analysis and Forecast by Type
5.1. Market Trends
5.2. Introduction
5.2.1. Basis Point Share (BPS) Analysis by Type
5.2.2. Y-o-Y Growth Projections by Type
5.3. Time Series Databases Software Market Size and Volume Forecast by Type
5.3.1. Cloud-based
5.3.2. Web-based
5.3.3. Time Series Databases Softwar
5.4. Absolute $ Opportunity Assessment by Type
5.5. Market Attractiveness/Growth Potential Analysis by Type
6. Global Time Series Databases Software Market Analysis and Forecast by Application
6.1. Market Trends
6.2. Introduction
6.2.1. Basis Point Share (BPS) Analysis by Application
6.2.2. Y-o-Y Growth Projections by Application
6.3. Time Series Databases Software Market Size and Volume Forecast by Application
6.3.1. Large Enterprises
6.3.2. SMEs
6.4. Absolute $ Opportunity Assessment by Application
6.5. Market Attractiveness/Growth Potential Analysis by Application
7. Global Time Series Databases Software Market Analysis and Forecast by Sales Channel
7.1. Market Trends
7.2. Introduction
7.2.1. Basis Point Share (BPS) Analysis by Sales Channel
7.2.2. Y-o-Y Growth Projections by Sales Channel
7.3. Time Series Databases Software Market Size and Volume Forecast by Sales Channel
7.3.1. Manufacturer/Distributor/Service Provider
7.3.2. Aftermarket
7.4. Absolute $ Opportunity Assessment by Sales Channel
7.5. Market Attractiveness/Growth Potential Analysis by Sales Channel
8. Global Time Series Databases Software Market Analysis and Forecast by Region
8.1. Market Trends
8.2. Introduction
8.2.1. Basis Point Share (BPS) Analysis by Region
8.2.2. Y-o-Y Growth Projections by Region
8.3. Time Series Databases Software Market Size and Volume Forecast by Region
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. Middle East and Africa (MEA)
8.4. Absolute $ Opportunity Assessment by Region
8.5. Market Attractiveness/Growth Potential Analysis by Region
8.6. Global Time Series Databases Software Demand Share Forecast, 2019-2026
9. North America Time Series Databases Software Market Analysis and Forecast
9.1. Introduction
9.1.1. Basis Point Share (BPS) Analysis by Country
9.1.2. Y-o-Y Growth Projections by Country
9.2. North America Time Series Databases Software Market Size and Volume Forecast by Country
9.2.1. U.S.
9.2.2. Canada
9.3. Absolute $ Opportunity Assessment by Country
9.4. North America Time Series Databases Software Market Size and Volume Forecast by Application
9.4.1. Large Enterprises
9.4.2. SMEs
9.5. Basis Point Share (BPS) Analysis by Application
9.6. Y-o-Y Growth Projections by Application
9.7. North America Time Series Databases Software Market Size and Volume Forecast by Type
9.7.1. Cloud-based
9.7.2. Web-based
9.7.3. Time Series Databases Softwar
9.8. Basis Point Share (BPS) Analysis by Type
9.9. Y-o-Y Growth Projections by Type
9.10. Market Attractiveness/Growth Potential Analysis
9.10.1. By Country
9.10.2. By Product Type
9.10.3. By Application
9.10.4. By Sales Channel
9.11. North America Time Series Databases Software Demand Share Forecast, 2019-2026
10. Latin America Time Series Databases Software Market Analysis and Forecast
10.1. Introduction
10.1.1. Basis Point Share (BPS) Analysis by Country
10.1.2. Y-o-Y Growth Projections by Country
10.1.3. Latin America Average Pricing Analysis
10.2. Latin America Time Series Databases Software Market Size and Volume Forecast by Country
10.2.1. Brazil
10.2.2. Mexico
10.2.3. Rest of Latin America
10.3. Absolute $ Opportunity Assessment by Country
10.4. Latin America Time Series Databases Software Market Size and Volume Forecast by Application
10.4.1. Large Enterprises
10.4.2. SMEs
10.5. Basis Point Share (BPS) Analysis by Application
10.6. Y-o-Y Growth Projections by Application
10.7. Latin America Time Series Databases Software Market Size and Volume Forecast by Type
10.7.1. Cloud-based
10.7.2. Web-based
10.7.3. Time Series Databases Softwar
10.8. Basis Point Share (BPS) Analysis by Type
10.9. Y-o-Y Growth Projections by Type
10.10. Market Attractiveness/Growth Potential Analysis
10.10.1. By Country
10.10.2. By Product Type
10.10.3. By Application
10.10.4. By Sales Channel
10.11. Latin America Time Series Databases Software Demand Share Forecast, 2019-2026
11. Europe Time Series Databases Software Market Analysis and Forecast
11.1. Introduction
11.1.1. Basis Point Share (BPS) Analysis by Country
11.1.2. Y-o-Y Growth Projections by Country
11.1.3. Europe Average Pricing Analysis
11.2. Europe Time Series Databases Software Market Size and Volume Forecast by Country
11.2.1. Germany
11.2.2. France
11.2.3. Italy
11.2.4. U.K.
11.2.5. Spain
11.2.6. Russia
11.2.7. Rest of Europe
11.3. Absolute $ Opportunity Assessment by Country
11.4. Europe Time Series Databases Software Market Size and Volume Forecast by Application
11.4.1. Large Enterprises
11.4.2. SMEs
11.5. Basis Point Share (BPS) Analysis by Application
11.6. Y-o-Y Growth Projections by Application
11.7. Europe Time Series Databases Software Market Size and Volume Forecast by Type
11.7.1. Cloud-based
11.7.2. Web-based
11.7.3. Time Series Databases Softwar
11.8. Basis Poin Share (BPS) Analysis by Type
11.9. Y-o-Y Growth Projections by Type
11.10. Market Attractiveness/Growth Potential Analysis
11.10.1. By Country
11.10.2. By Product Type
11.10.3. By Application
11.10.4. By Sales Channel
11.11. Europe Time Series Databases Software Demand Share, 2019-2026
12. Asia Pacific Time Series Databases Software Market Analysis and Forecast
12.1. Introduction
12.1.1. Basis Point Share (BPS) Analysis by Country
12.1.2. Y-o-Y Growth Projections by Country
12.1.3. Asia Pacific Average Pricing Analysis
12.2. Asia Pacific Time Series Databases Software Market Size and Volume Forecast by Country
12.2.1. China
12.2.2. Japan
12.2.3. South Korea
12.2.4. India
12.2.5. Australia
12.2.6. Rest of Asia Pacific (APAC)
12.3. Absolute $ Opportunity Assessment by Country
12.4. Asia Pacific Time Series Databases Software Market Size and Volume Forecast by Application
12.4.1. Large Enterprises
12.4.2. SMEs
12.5. Basis Point Share (BPS) Analysis by Application
12.6. Y-o-Y Growth Projections by Application
12.7. Asia Pacific Time Series Databases Software Market Size and Volume Forecast by Type
12.7.1. Cloud-based
12.7.2. Web-based
12.7.3. Time Series Databases Softwar
12.8. Basis Point Share (BPS) Analysis by Type
12.9. Y-o-Y Growth Projections by Type
12.10. Market Attractiveness/Growth Potential Analysis
12.10.1. By Country
12.10.2. By Product Type
12.10.3. By Application
12.10.4. By Sales Channel
12.11. Asia Pacific Time Series Databases Software Demand Share, 2019-2026
13. Middle East & Africa Time Series Databases Software Market Analysis and Forecast
13.1. Introduction
13.1.1. Basis Point Share (BPS) Analysis by Country
13.1.2. Y-o-Y Growth Projections by Country
13.1.3. Asia Pacific Average Pricing Analysis
13.2. Middle East & Africa Time Series Databases Software Market Size and Volume Forecast by Country
13.2.1. Saudi Arabia
13.2.2. South Africa
13.2.3. UAE
13.2.4. Rest of Middle East & Africa (MEA)
13.3. Absolute $ Opportunity Assessment by Country
13.4. Middle East & Africa Time Series Databases Software Market Size and Volume Forecast by Application
13.4.1. Large Enterprises
13.4.2. SMEs
13.5. Basis Point Share (BPS) Analysis by Application
13.6. Y-o-Y Growth Projections by Application
13.7. Middle East & Africa Time Series Databases Software Market Size and Volume Forecast by Type
13.7.1. Cloud-based
13.7.2. Web-based
13.7.3. Time Series Databases Softwar
13.8. Basis Point Share (BPS) Analysis by Type
13.9. Y-o-Y Growth Projections by Type
13.10. Market Attractiveness/Growth Potential Analysis
13.10.1. By Country
13.10.2. By Product Type
13.10.3. By Application
13.10.4. By Sales Channel
13.11. Middle East & Africa Time Series Databases Software Demand Share, 2019-2026
14. Competition Landscape
14.1. Global Time Series Databases Software Market: Market Share Analysis
14.2. Time Series Databases Software Distributors and Customers
14.3. Time Series Databases Software Market: Competitive Dashboard
14.4. Company Profiles (Details Overview, Financials, Developments, Strategy)
14.4.1. InfluxData
14.4.1.1. Overview
14.4.1.2. Financials
14.4.1.3. Developments
14.4.1.4. Strategic Outlook
14.4.2. Trendalyze
14.4.2.1. Overview
14.4.2.2. Financials
14.4.2.3. Developments
14.4.2.4. Strategic Outlook
14.4.3. Amazon Timestream
14.4.3.1. Overview
14.4.3.2. Financials
14.4.3.3. Developments
14.4.3.4. Strategic Outlook
14.4.4. DataStax
14.4.4.1. Overview
14.4.4.2. Financials
14.4.4.3. Developments
14.4.4.4. Strategic Outlook
14.4.5. Prometheus
14.4.5.1. Overview
14.4.5.2. Financials
14.4.5.3. Developments
14.4.5.4. Strategic Outlook
14.4.6. QuasarDB
14.4.6.1. Overview
14.4.6.2. Financials
14.4.6.3. Developments
14.4.6.4. Strategic Outlook
14.4.7. Warp 10
14.4.7.1. Overview
14.4.7.2. Financials
14.4.7.3. Developments
14.4.7.4. Strategic Outlook
14.4.8. InfluxDB
14.4.8.1. Overview
14.4.8.2. Financials
14.4.8.3. Developments
14.4.8.4. Strategic Outlook
14.4.9. kdb+
14.4.9.1. Overview
14.4.9.2. Financials
14.4.9.3. Developments
14.4.9.4. Strategic Outlook
14.4.10. Actian X
14.4.10.1. Overview
14.4.10.2. Financials
14.4.10.3. Developments
14.4.10.4. Strategic Outlook
14.4.11. Axibase Time Series Database
14.4.11.1. Overview
14.4.11.2. Financials
14.4.11.3. Developments
14.4.11.4. Strategic Outlook
14.4.12. Time Series Databases Softwar
14.4.12.1. Overview
14.4.12.2. Financials
14.4.12.3. Developments
14.4.12.4. Strategic Outlook
14.4.13. COMPANY 13
14.4.13.1. Overview
14.4.13.2. Financials
14.4.13.3. Developments
14.4.13.4. Strategic Outlook
14.4.14. COMPANY 14
14.4.14.1. Overview
14.4.14.2. Financials
14.4.14.3. Developments
14.4.14.4. Strategic Outlook
14.4.15. COMPANY 15
14.4.15.1. Overview
14.4.15.2. Financials
14.4.15.3. Developments
14.4.15.4. Strategic Outlook
14.4.16. COMPANY 16
14.4.16.1. Overview
14.4.16.2. Financials
14.4.16.3. Developments
14.4.16.4. Strategic Outlook
14.4.17. COMPANY 17
14.4.17.1. Overview
14.4.17.2. Financials
14.4.17.3. Developments
14.4.17.4. Strategic Outlook
14.4.18. COMPANY 18
14.4.18.1. Overview
14.4.18.2. Financials
14.4.18.3. Developments
14.4.18.4. Strategic Outlook
14.4.19. COMPANY 19
14.4.19.1. Overview
14.4.19.2. Financials
14.4.19.3. Developments
14.4.19.4. Strategic Outlook
14.4.20. COMPANY 20
14.4.20.1. Overview
14.4.20.2. Financials
14.4.20.3. Developments
14.4.20.4. Strategic Outlook
