The global Cloud-Native Time Series Database market size is predicted to grow from US$ 1614 million in 2024 to US$ 2346 million in 2030; it is expected to grow at a CAGR of 6.4% from 2024 to 2030.
A cloud-native time series database is a database system designed specifically for storing, managing, and analyzing time series data. It makes full use of the characteristics of the cloud computing environment and is highly scalable, flexible, and efficient. Time series data refers to continuous data points in a time-based sequence, such as sensor data, monitoring data, and log records. Cloud-native time series databases are usually based on containerized architecture, microservice design, and automated operation and maintenance. They can achieve high-concurrency read and write operations in a distributed environment and can cope with large-scale data volumes and rapidly growing data streams. They use the elastic expansion capabilities of the cloud platform to dynamically expand resources according to demand, support horizontal expansion, and ensure high performance and high availability under different workloads. In addition, cloud-native time series databases usually have automated data management functions, such as data compression, deduplication, and lifecycle management, to optimize storage efficiency and query performance. In a cloud environment, cloud-native time series databases can easily integrate other cloud services, such as machine learning analysis, real-time monitoring, and big data processing, to provide users with powerful data analysis and decision support capabilities. This makes it have broad application prospects in the fields of the Internet of Things (IoT), real-time data analysis, financial market monitoring, and energy management.
Cloud-native time series databases represent an important trend in the development of modern database architectures towards greater efficiency, flexibility, and scalability. In traditional time series databases, they often rely on a single hardware device and centralized storage, resulting in performance bottlenecks and lack of flexibility when facing large-scale, high-throughput, and rapidly growing data. Cloud-native time series databases solve these problems by combining the database architecture with the elastic and distributed characteristics of cloud computing. It can not only dynamically scale resources according to load, but also improve the maintainability and high availability of the system through containerization and microservices design. The key advantage of cloud-native time series databases lies in their high scalability and elasticity. It can handle a steady stream of big data streams from IoT devices, sensors, application logs, etc., and ensure the real-time and consistency of data through distributed storage and computing architecture. Compared with traditional databases, it can better cope with complex data patterns and query requirements while reducing hardware investment and operation and maintenance costs. Since cloud-native time series databases usually have built-in intelligent data compression and indexing technologies, they can effectively reduce storage requirements and optimize data retrieval speed. In addition, with the help of other services on the cloud platform (such as data analysis, machine learning, etc.), it can further enhance the value of data and achieve real-time decision-making and predictive analysis.In short, cloud-native time series databases not only represent the cutting-edge development of database technology, but are also a powerful tool for addressing today's challenges in large-scale time series data management and analysis. With the continuous development of cloud computing and the Internet of Things, its application prospects in industries such as energy, finance, and smart manufacturing will become more extensive.
The 鈥淐loud-Native Time Series Database Industry Forecast鈥� looks at past sales and reviews total world Cloud-Native Time Series Database sales in 2023, providing a comprehensive analysis by region and market sector of projected Cloud-Native Time Series Database sales for 2024 through 2030. With Cloud-Native Time Series Database sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Cloud-Native Time Series Database industry.
This Insight Report provides a comprehensive analysis of the global Cloud-Native Time Series Database landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Cloud-Native Time Series Database portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms鈥� unique position in an accelerating global Cloud-Native Time Series Database market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Cloud-Native Time Series Database and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Cloud-Native Time Series Database.
This report presents a comprehensive overview, market shares, and growth opportunities of Cloud-Native Time Series Database market by product type, application, key players and key regions and countries.
Segmentation by Type:
Distributed Architecture
Single Node Architecture
Segmentation by Application:
Large Enterprises
Medium Enterprises
Small Enterprises
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Amazon
Microsoft
Google
InfluxData
Timescale
DataStax
QuestDB
OpenTSDB
Redpanda
VictoriaMetrics
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Scope of the Report
1.1 Market Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 Market Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 Market Estimation Caveats
2 Executive Summary
2.1 World Market Overview
2.1.1 Global Cloud-Native Time Series Database Market Size 2019-2030
2.1.2 Cloud-Native Time Series Database Market Size CAGR by Region (2019 VS 2023 VS 2030)
2.1.3 World Current & Future Analysis for Cloud-Native Time Series Database by Country/Region, 2019, 2023 & 2030
2.2 Cloud-Native Time Series Database Segment by Type
2.2.1 Distributed Architecture
2.2.2 Single Node Architecture
2.3 Cloud-Native Time Series Database Market Size by Type
2.3.1 Cloud-Native Time Series Database Market Size CAGR by Type (2019 VS 2023 VS 2030)
2.3.2 Global Cloud-Native Time Series Database Market Size Market Share by Type (2019-2024)
2.4 Cloud-Native Time Series Database Segment by Application
2.4.1 Large Enterprises
2.4.2 Medium Enterprises
2.4.3 Small Enterprises
2.5 Cloud-Native Time Series Database Market Size by Application
2.5.1 Cloud-Native Time Series Database Market Size CAGR by Application (2019 VS 2023 VS 2030)
2.5.2 Global Cloud-Native Time Series Database Market Size Market Share by Application (2019-2024)
3 Cloud-Native Time Series Database Market Size by Player
3.1 Cloud-Native Time Series Database Market Size Market Share by Player
3.1.1 Global Cloud-Native Time Series Database Revenue by Player (2019-2024)
3.1.2 Global Cloud-Native Time Series Database Revenue Market Share by Player (2019-2024)
3.2 Global Cloud-Native Time Series Database Key Players Head office and Products Offered
3.3 Market Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2022-2024)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Cloud-Native Time Series Database by Region
4.1 Cloud-Native Time Series Database Market Size by Region (2019-2024)
4.2 Global Cloud-Native Time Series Database Annual Revenue by Country/Region (2019-2024)
4.3 Americas Cloud-Native Time Series Database Market Size Growth (2019-2024)
4.4 APAC Cloud-Native Time Series Database Market Size Growth (2019-2024)
4.5 Europe Cloud-Native Time Series Database Market Size Growth (2019-2024)
4.6 Middle East & Africa Cloud-Native Time Series Database Market Size Growth (2019-2024)
5 Americas
5.1 Americas Cloud-Native Time Series Database Market Size by Country (2019-2024)
5.2 Americas Cloud-Native Time Series Database Market Size by Type (2019-2024)
5.3 Americas Cloud-Native Time Series Database Market Size by Application (2019-2024)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Cloud-Native Time Series Database Market Size by Region (2019-2024)
6.2 APAC Cloud-Native Time Series Database Market Size by Type (2019-2024)
6.3 APAC Cloud-Native Time Series Database Market Size by Application (2019-2024)
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Cloud-Native Time Series Database Market Size by Country (2019-2024)
7.2 Europe Cloud-Native Time Series Database Market Size by Type (2019-2024)
7.3 Europe Cloud-Native Time Series Database Market Size by Application (2019-2024)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Cloud-Native Time Series Database by Region (2019-2024)
8.2 Middle East & Africa Cloud-Native Time Series Database Market Size by Type (2019-2024)
8.3 Middle East & Africa Cloud-Native Time Series Database Market Size by Application (2019-2024)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 Market Drivers, Challenges and Trends
9.1 Market Drivers & Growth Opportunities
9.2 Market Challenges & Risks
9.3 Industry Trends
10 Global Cloud-Native Time Series Database Market Forecast
10.1 Global Cloud-Native Time Series Database Forecast by Region (2025-2030)
10.1.1 Global Cloud-Native Time Series Database Forecast by Region (2025-2030)
10.1.2 Americas Cloud-Native Time Series Database Forecast
10.1.3 APAC Cloud-Native Time Series Database Forecast
10.1.4 Europe Cloud-Native Time Series Database Forecast
10.1.5 Middle East & Africa Cloud-Native Time Series Database Forecast
10.2 Americas Cloud-Native Time Series Database Forecast by Country (2025-2030)
10.2.1 United States Market Cloud-Native Time Series Database Forecast
10.2.2 Canada Market Cloud-Native Time Series Database Forecast
10.2.3 Mexico Market Cloud-Native Time Series Database Forecast
10.2.4 Brazil Market Cloud-Native Time Series Database Forecast
10.3 APAC Cloud-Native Time Series Database Forecast by Region (2025-2030)
10.3.1 China Cloud-Native Time Series Database Market Forecast
10.3.2 Japan Market Cloud-Native Time Series Database Forecast
10.3.3 Korea Market Cloud-Native Time Series Database Forecast
10.3.4 Southeast Asia Market Cloud-Native Time Series Database Forecast
10.3.5 India Market Cloud-Native Time Series Database Forecast
10.3.6 Australia Market Cloud-Native Time Series Database Forecast
10.4 Europe Cloud-Native Time Series Database Forecast by Country (2025-2030)
10.4.1 Germany Market Cloud-Native Time Series Database Forecast
10.4.2 France Market Cloud-Native Time Series Database Forecast
10.4.3 UK Market Cloud-Native Time Series Database Forecast
10.4.4 Italy Market Cloud-Native Time Series Database Forecast
10.4.5 Russia Market Cloud-Native Time Series Database Forecast
10.5 Middle East & Africa Cloud-Native Time Series Database Forecast by Region (2025-2030)
10.5.1 Egypt Market Cloud-Native Time Series Database Forecast
10.5.2 South Africa Market Cloud-Native Time Series Database Forecast
10.5.3 Israel Market Cloud-Native Time Series Database Forecast
10.5.4 Turkey Market Cloud-Native Time Series Database Forecast
10.6 Global Cloud-Native Time Series Database Forecast by Type (2025-2030)
10.7 Global Cloud-Native Time Series Database Forecast by Application (2025-2030)
10.7.1 GCC Countries Market Cloud-Native Time Series Database Forecast
11 Key Players Analysis
11.1 Amazon
11.1.1 Amazon Company Information
11.1.2 Amazon Cloud-Native Time Series Database Product Offered
11.1.3 Amazon Cloud-Native Time Series Database Revenue, Gross Margin and Market Share (2019-2024)
11.1.4 Amazon Main Business Overview
11.1.5 Amazon Latest Developments
11.2 Microsoft
11.2.1 Microsoft Company Information
11.2.2 Microsoft Cloud-Native Time Series Database Product Offered
11.2.3 Microsoft Cloud-Native Time Series Database Revenue, Gross Margin and Market Share (2019-2024)
11.2.4 Microsoft Main Business Overview
11.2.5 Microsoft Latest Developments
11.3 Google
11.3.1 Google Company Information
11.3.2 Google Cloud-Native Time Series Database Product Offered
11.3.3 Google Cloud-Native Time Series Database Revenue, Gross Margin and Market Share (2019-2024)
11.3.4 Google Main Business Overview
11.3.5 Google Latest Developments
11.4 InfluxData
11.4.1 InfluxData Company Information
11.4.2 InfluxData Cloud-Native Time Series Database Product Offered
11.4.3 InfluxData Cloud-Native Time Series Database Revenue, Gross Margin and Market Share (2019-2024)
11.4.4 InfluxData Main Business Overview
11.4.5 InfluxData Latest Developments
11.5 Timescale
11.5.1 Timescale Company Information
11.5.2 Timescale Cloud-Native Time Series Database Product Offered
11.5.3 Timescale Cloud-Native Time Series Database Revenue, Gross Margin and Market Share (2019-2024)
11.5.4 Timescale Main Business Overview
11.5.5 Timescale Latest Developments
11.6 DataStax
11.6.1 DataStax Company Information
11.6.2 DataStax Cloud-Native Time Series Database Product Offered
11.6.3 DataStax Cloud-Native Time Series Database Revenue, Gross Margin and Market Share (2019-2024)
11.6.4 DataStax Main Business Overview
11.6.5 DataStax Latest Developments
11.7 QuestDB
11.7.1 QuestDB Company Information
11.7.2 QuestDB Cloud-Native Time Series Database Product Offered
11.7.3 QuestDB Cloud-Native Time Series Database Revenue, Gross Margin and Market Share (2019-2024)
11.7.4 QuestDB Main Business Overview
11.7.5 QuestDB Latest Developments
11.8 OpenTSDB
11.8.1 OpenTSDB Company Information
11.8.2 OpenTSDB Cloud-Native Time Series Database Product Offered
11.8.3 OpenTSDB Cloud-Native Time Series Database Revenue, Gross Margin and Market Share (2019-2024)
11.8.4 OpenTSDB Main Business Overview
11.8.5 OpenTSDB Latest Developments
11.9 Redpanda
11.9.1 Redpanda Company Information
11.9.2 Redpanda Cloud-Native Time Series Database Product Offered
11.9.3 Redpanda Cloud-Native Time Series Database Revenue, Gross Margin and Market Share (2019-2024)
11.9.4 Redpanda Main Business Overview
11.9.5 Redpanda Latest Developments
11.10 VictoriaMetrics
11.10.1 VictoriaMetrics Company Information
11.10.2 VictoriaMetrics Cloud-Native Time Series Database Product Offered
11.10.3 VictoriaMetrics Cloud-Native Time Series Database Revenue, Gross Margin and Market Share (2019-2024)
11.10.4 VictoriaMetrics Main Business Overview
11.10.5 VictoriaMetrics Latest Developments
12 Research Findings and Conclusion
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*If Applicable.