Time Series Databases Software Market Size By Deployment Type (Cloud-based and Web-based), By Application (Large Enterprises and Small and Medium Enterprises), By Geographic Scope And Forecast
Time Series Databases Software Market Size By Deployment Type (Cloud-based and Web-based), By Application (Large Enterprises and Small and Medium Enterprises), By Geographic Scope And Forecast
Published Date: August - 2024 | Publisher: MIR | No of Pages: 320 | Industry: latest updates trending Report | Format: Report available in PDF / Excel Format
Time Series Databases Software Market Size And Forecast
Time Series Databases Software Market size was valued at USD 359.37 USD Million in 2024 and is projected to reach USD 773.71 Million by 2031, growing at a CAGR of 10.06% from 2024 to 2031.
The increasing use of IoT databases is expected to augment market growth. Technological innovations for the development of cost-effective products are also expected to have a positive impact on growth. In addition, increasing product application scope owing to its advantages, such as ease in currency, forex and security price monitoring is expected to fuel the demand for time-series databases software in the market. The market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.
Time Series Databases Software Market Definition
Think of time-series data as a string of breadcrumbs dropped over time, showing you how things change. This could be super quick changes, like in milliseconds, or slow shifts happening over days or even years. To keep track of all this time-stamped info, companies often use special time-series databases. Businesses might use them to keep an eye on things live, or because their apps are constantly churning out new information. Basically, with these time-series databases, you can store any data with a timestamp – things like log files, sensor readings, or data from industrial equipment. App developers love them too, using them to monitor their applications, grab data in real-time, and really get a handle on how their apps are performing.
Time series databases software is highly flexible and used to collect extra-large data sets in real-time, big data processing, and distribution systems. These tools are designed for businesses that are constantly collecting tremendous amounts of data. Pulling data sets may be more challenging with big data processing and distribution systems, but the insights received are valuable due to the granularity of the data.
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Time Series Databases Software Market Overview
The increasing use of databases is expected to augment market growth. Technological innovations for the development of cost-effective products are also expected to have a positive impact on growth. In addition, increasing product application scope owing to its advantages, such as ease in currency, forex, and security price monitoring is expected to fuel the demand for time series database software in the market. Superior applications including the detection of smart security breaches, storage of payment databases as well as application in the energy sector will propel the demand in the global market.
Furthermore, the Time Series Databases Software Market is the fastest growing database market all this includes technological advancements in processes and applications. However, there are many restraints, challenging & hindering the growth of the market, as it requires fast and developed database structures.
Time Series Databases Software Market Segmentation Analysis
The Global Time Series Databases Software Market is segmented on the basis of Deployment Type, Application, and Geography.
Time Series Databases Software Market, By Deployment Type
• Cloud-based• web-based
Based on Type, the market is bifurcated into Cloud-based and Web-based. Web-Based accounted for the largest market share in 2020. Web-based applications have a number of benefits over standard desktop software, most notably their portability. With web-based applications, users don’t have to install additional software, and developers don’t have to write several versions of the same application for different operating systems.
Time Series Databases Software Market, By Application
• Large enterprises• Small & mid enterprises
On the basis of Application, the market has been segmented into Large Enterprises and Small and Medium Enterprises. Large Enterprises accounted for the largest market share in 2020 are projected to grow at a CAGR of 10.64% during the forecast period. The increasing necessity of real-time enterprise data software is expected to drive market growth over the forecast period.
Time Series Databases Software Market, By Geography
• North America• Europe• Asia Pacific• Rest of the world
So, when we look at things regionally, the market breaks down into North America, Europe, Asia Pacific, and, well, the Rest of the world. We're thinking North America will likely grab the biggest piece of the pie over the next few years, with Europe coming in second. What's fueling North America's lead? It's a mix of thingsthe IoT sector is booming, we're seeing a ton of data coming from sensors all over the U.S., the financial sector is strong, and we've got a bunch of global IT and tech giants hanging around. All that really helps drive North America's share of the time series database software market. Plus, there's this ever-increasing need for next-gen software and systems in North America, which means more demand for series database software in the region, according to this FAQ about the market. You can read more here.
Key Players In Time Series Databases Software Market
The study report will provide valuable insight with an emphasis on the global market. The major players in the market are InfluxDB, Kx Systems Inc., Prometheus, Amazon Web Service (AWS), Google, LLC, DataStax, SenX SAS, Trendalyze, QuasarDB, QuestDB and Druid.
The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.
Key Developments
InfluxDB 2.0 developed a new version that provides a time-series platform, which is used for building IoT, analytics, and monitoring applications powered by time-series data.
Prometheus Group acquired Utopia Global, Inc. as an SAP partner, Utopia is a data solutions company that provides end-to-end data quality, data migration, and data governance solutions.
Amazon Web Services Inc. (AWS) announced the general availability of Amazon Timestream, a serverless purpose-built database that exposes time-series data through SQL
Report Scope
REPORT ATTRIBUTES
DETAILS
Study Period
2021-2031
Base Year
2024
Forecast Period
2024-2031
Historical Period
2021-2023
Unit
Value (USD Million)
Key Companies Profiled
InfluxDB, Kx Systems Inc., Prometheus, Amazon Web Service (AWS), Google, LLC, DataStax, SenX SAS, Trendalyze, QuasarDB, QuestDB, and Druid.
Segments Covered
By Deployment Type
By Application
By Geography
Customization Scope
Free report customization (equivalent up to 4 analyst’s working days) with purchase. Addition or alteration to country, regional & segment scope
Research Methodology of Market Research
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Reasons to Purchase this Report
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