Time Series Databases Software Market Report 2024 (Global Edition)

Global Time Series Databases Software Market Report 2024 Market Size Split by Deployment Type (On-Premise, Cloud), by Application (BFSI, Manufacturing Industry, Telematics industry, Healthcare Industr...

Time Series Databases Software Market Report Description

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Time Series Databases Software Market Insights Video

Company Profile

DataStax Inc.

DataStax, Inc. is the open multi-cloud stack for modern data apps. Company helps the organizations to deploy massive data, delivered via APIs, powering rich interactions on multi-cloud, open source, and Kubernetes. The company offers various products such as Astra, Luna for Apache Cassandra™, Luna streaming, and DataStax Enterprise.

News

• January 2021,Datastax acquires Kesque as it gets into data streaming

Datastax acquired Kesque. Kesque is a cloud messaging service provider. With this acquisition, Datastax has entered into data streaming and launched its own Pulsar-based streaming platform by the name of Datastax Luna Streaming which is now generally available.

InfluxData Inc

InfluxData Inc is a computer software company involved in providing products and solutions to various industries in order to help them to manage the massive volumes of time-stamped data produced by IoT devices, applications, networks, containers, and computers. The company provides various products such as InfluxDB cloud, InfluxDB, InfluxDB enterprise, Telegraf, InfluxDB templates, and other services. The company provides solutions such as infrastructure and application monitoring, IoT monitoring and analytics, and network monitoring. The company served its product and solutions to the industries like finance, energy, telco, and technology.

News

• April  2020, InfluxData expands in the Asia Pacific region

InfluxData has expand its operation in Asia-Pacific (APAC) region through new strategic partnerships with Digital China and Hyundai BS&C. These company will be the exclusive value-added distributors of InfluxDB in China and South Korea, respectively. This new partnerships with APAC distributors will enhance the growing demand for InfluxDB in the APAC region.

Top Companies Market Share in Time Series Databases Software Industry: (In no particular order of Rank)

• Influxdata
• Trendalyze
• Amazon Timestream
• DataStax
• Prometheus
• Quasardb
• Warp 10
• Influxdb
• Kdb+
• Actian X
• Axibase Time Series Database
• Others
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*List of Second Tier Companies, List of Third Tier/ Start-up Companies (Inquire with sales executive) Request Any Company Profile for Preview Purpose OR Data Validation!

If any Company(ies) of your interest has/have not been disclosed in the above list then please let us know the same so that we will check the data availability in our database and provide you the confirmation or include it in the final deliverables.

Time Series Databases Software Market Regional Analysis

Region and country analysis section of Time Series Databases Software Industry Analysis has been segmented into 5 major region such as North America, Europe, Asia Pacific, Middle East & Africa ,and Latin America (along with respective major contributing countries) and provides the revenue share, current trends.

The base years considered for all the estimations by analyzing trends and growth rate will help you gain an in-depth understanding of the conclusions provided in this report. This report also includes figures, graphs, pie charts, tables and bar graphs that explain the data analysis based on current trends at the country level as well as key regions. This research report also focuses on assessing factors such as profit, product price, capacity, production, supply demand market growth rate along with others to create a clear picture on the future prospects of Time Series Databases Software market.

The current report Scope analyzes Time Series Databases Software Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com

• North America (United States, Canada, Mexico)
• Europe (United Kingdom, France, Germany, Italy, Russia, Spain, Sweden, Denmark, Netherlands, Switzerland, Belgium)
• Asia-Pacific (China, Japan, Korea, India, Australia, Philippines, Singapore, Malaysia, Thailand, Indonesia, Rest of APAC)
• South America (Brazil, Argentina, Colombia, Peru, Chile, Rest of South America)
• Middle East and Africa (Saudi Arabia, Turkey, Nigeria, UAE, Egypt, South Africa, GCC Countries, Rest of MEA)

The above graph is for illustrative purposes only. To learn more about geographical trends request the free sample pages. Contact US!

Time Series Databases Software Market Analysis

Time Series Databases Software market: Deployment Type Segment Analysis

On-Premise

On-Premise segment Revenue in Time Series Databases Software market will be USD 338.25 Million by 2028

On-Premise is the software and technology that is located within the area of enterprise such as company's data center as they cannot be operated on hosted servers or in the cloud. On-premise software is the traditional method for working with the organization software and it requires a license for each server or end user working with software. On-Premise software or technology development is helpful; in developing modern applications and in deployment that involves security,integration, this forms the part of custom software development services that helps in saving the resources of the organization and boost its operational efficiency and growth of company. Company provides technologies such as on premise in the time series data software provide customized solutions to customers and help them in forecasted business decisions, trend analysis, provide data visualization capabilities and resolve complex data, predictive analysis and they are able to make calculated decision which further strengthen its position in the market.

Cloud

Cloud Based Computing is a technological process that has ability to host a software platform or service from remote location that can be freely accessed and used through internet. A cloud database is a database services which is built and accessed through a cloud platform. This time series database provides the information about the specific trends followed by customer which ultimately help enterprise for forecasting the future trends. On the basis of which the companies derive their strategies to gain profit. As the industries required to access the large database which can be accessed from anywhere and database service built through a cloud platform allow enterprise users to host databases without buying dedicated hardware. It is also easy to access, scalable and assure data security though backups on remote servers, and hence companies are more adopting the cloud-base time series databased

The above Chart is for representative purposes and does not depict actual sale statistics. Access/Request the quantitative data to understand the trends and dominating segment of Time Series Databases Software Industry. Request a Free Sample PDF!

Time Series Databases Software Market: Application Segment Analysis

BFSI

BFSI segment revenue in Time Series Databases Software market will be USD 219.02 Million by 2028!

BFSI refers to the banking, financial services, and insurance sector. It represents the companies that offer wide range of financial products and services such as core banking, retail, private, corporate, investment among the list. This sector is expected to have strong growth potential especially in developing countries. Factors such as rising per capita income, introduction of new products, expanding distribution, innovation in technology networking and increasing customer awareness of financial products are leading the opportunities of development in this area. Time series databased allow the companies involved in it to track the trends and pattern of the people in which they are investing or carrying out the activities related to their banking or insurances. This helps the company to analyze behavior of the consumer and accordingly they planned their strategies by forecasting the future of the industry.

Manufacturing Industry

Manufacturing refers to the production of goods in large quantities after the processing of raw materials into valuable products. There are various segments such as metal manufacturing, electronic manufacturing, food production, clothing and textile, industrial equipment manufacturing and many more. As the population and industries grows, the need for the manufactured goods also increases and hence company seek for the solution which help them to grow and ease their work load. There are various process involved in manufacturing and it’s become difficult for the company to track all the records. Hence the company use time database to track the series of events taking place so that they have clear views of upcoming events in the future. For instance, time series data help company to know how often and at what time interval the machines need to be repair, the average production speed and many more related information. This information helps the company to forecast their production capacity, life of machine etc.

Telematics communication technology deals with the long-distance transmission of computerized information flowing to and generated from vehicles via wireless networks. This is generally use for the safety of wireless vehicle. The vehicle tracking device is installed in a vehicle that allows sending, receiving and storing of telemetry data. It helps to record data such as vehicle tracking, trailer and asset tracking, maintenance improvements etc. This data can be use by the automotive industry to gain insight on product and product usages which would help them to forecast the future of the industry.

Healthcare Industry

Healthcare sectors refer to the business that provide medical services, manufacture medical equipment or drugs, provide medical insurance, and facilitate the provision of healthcare to patients. The health care sector is one of the booming sectors in entire business due to the increasing awareness related to health, unhealthy life style and many more. One of the major problems associated with healthcare domain is to exploit the huge amount of data that is generated in this field. It became challenging to discover knowledgeable information useful for decision making in the medical field as it generated information at many different levels such as management, planning, medical examinations, etc. Hence in such cases the time series data comes into role which help the companies to analyses the past and present data as per their requirement make it easy to analyzed and forecast the future trends.

Energy and Utilities

Energy and utilities industry globally covers electric generation: transmission, distribution and retailing, transmission, distribution and retailing of natural gas and water services provision. As the population increases the use for the energy is also increases. The company used time series data to track the record of generation and utilization of resources which would help the companies to know the future requirement of the resources and consumption of these energy and the company used the data time series for the future forecasting.

The above Graph is for representation purposes only. This chart does not depict actual Market share. Please purchase the Time Series Databases Software market report 2024 Edition by contacting our team.

Time Series Databases Software End Use Segment Analysis

Large Enterprises

The Large Enterprises segment Revenue (USD Million) in Time Series Databases Software market will be USD 778.37 Million by 2028.

Large Enterprise is an organization that has at least 5000 employees with an annual turnover greater than USD $1.5 Billion approximately. The time series data software is provided to the large enterprise, as this software helps companies to make forecasted decisions and assist in formulating business strategies. The software uses AI and big data, IoT platforms or technologies for redefining the company's business forecasting methods. The tine series data software market helps large enterprises in further strengthening their position, compensate the loss faced during the pandemic situation. It helps to determine COVID-19 cases, analyzed the stock market price, sales which benefitted the enterprise to make calculated decisions, and analyzed trends patterns with accuracy and without human error.

SME’s

These Small and Medium Enterprises are small organization with less than 250 employees with a less annual turnover compared to large enterprise. The time series data software is provided to start up or small and medium scale enterprise, helps in making business decision. The start-ups or small-scale enterprises are and it assist in making right business decision, solves challenges such as pricing, setup, installation. This time series software helping small enterprise to build robust business model to further strengthen their position in the market and assist in making forecasted business decision, trend analysis, budgeting. The small-scale enterprises along with time series data software used emerging technologies to provide accurate solutions to the customer.

• Large Enterprises
• SME’s

The base years considered for all the estimations by analyzing trends and growth rate will help you gain an in-depth understanding of the conclusions provided in this report. This report also includes figures, graphs, pie charts, tables and bar graphs that explain the data analysis based on current trends at the country level as well as key regions. This research report also focuses on assessing factors such as profit, product price, capacity, production, supply demand market growth rate along with others to create a clear picture on the future prospects of this market.

Author's Detail

Swasti Dharmadhikari

Research associate at Cognitive Market Research

LinkedIn

Profile

Swasti Dharmadhikari, an agile and achievement-focused market researcher with an innate ardor for deciphering the intricacies of the Service & Software sector. Backed by a profound insight into technology trends and consumer dynamics, she has committed herself to meticulously navigating the ever-evolving terrain of digital Services and software solutions.

Author's Conclusion