Report overview
Time Series Databases (TSDB) are designed to store and analyze event data, time series, or time-stamped data, often streamed from IoT devices, and enables graphing, monitoring and analyzing changes over time.
This report aims to provide a comprehensive presentation of the global market for Cloud-Based Time Series Database, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Cloud-Based Time Series Database. This report contains market size and forecasts of Cloud-Based Time Series Database in global, including the following market information:
Global Cloud-Based Time Series Database Market Revenue, 2018-2023, 2024-2030, ($ millions)
Global top five companies in 2022 (%)
The global Cloud-Based Time Series Database market was valued at US$ million in 2022 and is projected to reach US$ million by 2030, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Public Cloud Segment to Reach $ Million by 2030, with a % CAGR in next six years.
The global key manufacturers of Cloud-Based Time Series Database include Alibaba, Amazon (AWS), AVEVA, Axibase, BangDB, Circonus, Cortex, Crate and DataStax, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Cloud-Based Time Series Database companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Cloud-Based Time Series Database Market, by Type, 2018-2023, 2024-2030 ($ millions)
Global Cloud-Based Time Series Database Market Segment Percentages, by Type, 2022 (%)
Public Cloud
Private Cloud
Hybrid Cloud
Global Cloud-Based Time Series Database Market, by Application, 2018-2023, 2024-2030 ($ millions)
Global Cloud-Based Time Series Database Market Segment Percentages, by Application, 2022 (%)
BFSI
Retail
Mining
Chemical
Automotive
Manufacturing
Scientific Research
Telecommunication
Aerospace & Defence
Others
Global Cloud-Based Time Series Database Market, By Region and Country, 2018-2023, 2024-2030 ($ Millions)
Global Cloud-Based Time Series Database Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Cloud-Based Time Series Database revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Cloud-Based Time Series Database revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
Alibaba
Amazon (AWS)
AVEVA
Axibase
BangDB
Circonus
Cortex
Crate
DataStax
Dell (VMware)
Fauna
First Derivatives (Kx Systems)
Google
IBM
InfluxData
McObject
Microsoft
QuasarDB
QuestDB
Riak
SenX
Timescale
Trendalyze
Outline of Major Chapters:
Chapter 1: Introduces the definition of Cloud-Based Time Series Database, market overview.
Chapter 2: Global Cloud-Based Time Series Database market size in revenue.
Chapter 3: Detailed analysis of Cloud-Based Time Series Database company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of Cloud-Based Time Series Database in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.