
Global Data Historian Market Research Report 2024-Competitive Analysis, Status and Outlook by Type, Downstream Industry, and Geography, Forecast to 2030
Description
Global Data Historian Market Research Report 2024-Competitive Analysis, Status and Outlook by Type, Downstream Industry, and Geography, Forecast to 2030
A data historian is a software program that records the data of processes running in a computer system. Data historians are commonly used where reliability and uptime are critical. The programs are used to gather information about the operation of programs in order to diagnose failures.
Market Overview:
The latest research study on the global Data Historian market finds that the global Data Historian market reached a value of USD 1139.37 million in 2023. It’s expected that the market will achieve USD 2176.41 million by 2029, exhibiting a CAGR of 11.39% during the forecast period.
Industrial automation development
With the continuous development and advancement of digitalization and IoT technology, industrial automation will further advance. At the same time, the continuous emergence and development of new technologies such as robots and artificial intelligence will also greatly promote the development of industrial automation.
From the perspective of industrial automation principles, industrial automation is to control various parameters in industrial production to achieve various process controls. Therefore, industrial automation requires the use of various sensors and IoT devices to collect, analyze and manage data. Among them, Data Historian is a time series database designed to effectively collect and store process data from industrial automation systems, including analog data such as temperature, pressure, and flow, and digital reading data such as valve positions and limit switches.
Therefore, with the development of industrial automation, the demand for data processing in industrial production continues to increase. Among them, Data Historian is the basis for data-driven decision-making in industrial automated production and plays a key role in ensuring that enterprises thrive in a data-rich environment. For example, Data Historian can record and store temperature, pressure, flow, liquid level and other data. With this historical data, companies can monitor process variables and ensure product quality and safety. At the same time, be able to troubleshoot and diagnose issues to reduce downtime and maintenance costs.
Overall, in the context of industrial automation developments, Data Historian can automatically collect time series data from numerous sensors in automated and smart factories so that analysts can leverage this data when needed, helping with data visualization, predictive maintenance alerts, etc. . Industrial automation factories can use Data Historian to understand every aspect of the factory to increase agility, efficiency and profitability in a competitive market. Therefore, as the adoption of Industry 4.0 and Industry 5.0 solutions, smart factories, factories and IIoT machinery continues to grow, more and more organizations in the industrial automation space are looking to Data Historian solutions. The development of industrial automation is one of the driving factors for the development of the industry.
Region Overview:
In 2022, the share of the Data Historian market in United States stood at 36.19%.
Company Overview:
Microsoft Azure is one of the major players operating in the Data Historian market, holding a share of 12.76% in 2023.
Segmentation Overview:
By type, On-Premises segment accounted for the largest share of market in 2022.
Application Overview:
By application, the Chemicals and Pharmaceuticals segment occupied the biggest share from 2018 to 2022.
Key Companies in the global Data Historian market covered in Chapter 3:
Yokogawa
Rockwell Automation
Automsoft
ABB
General Electric
Canary Labs
PTC
Siemens
Yellow Brick
Honeywell
AVEVA Group
Amazon Web Services, Inc.
Emerson
COPA-DATA
Ignition SCADA
Microsoft Azure
Aspen Technology
ICONICS
In Chapter 4 and Chapter 14.2, on the basis of types, the Data Historian market from 2019 to 2030 is primarily split into:
On-Premises
Cloud
In Chapter 5 and Chapter 14.3, on the basis of Downstream Industry, the Data Historian market from 2019 to 2030 covers:
Oil and gas
Chemicals and Pharmaceuticals
Paper and Pulp
Metals and Mining
Utilities
Data Centers
Manufacturing
Others
Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2019-2030) of the following regions are covered in Chapter 8 to Chapter 14:
North America (United States, Canada)
Europe (Germany, UK, France, Italy, Spain, Russia, Netherlands, Turkey, Switzerland, Sweden)
Asia Pacific (China, Japan, South Korea, Australia, India, Indonesia, Philippines, Malaysia)
Latin America (Brazil, Mexico, Argentina)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa)
A data historian is a software program that records the data of processes running in a computer system. Data historians are commonly used where reliability and uptime are critical. The programs are used to gather information about the operation of programs in order to diagnose failures.
Market Overview:
The latest research study on the global Data Historian market finds that the global Data Historian market reached a value of USD 1139.37 million in 2023. It’s expected that the market will achieve USD 2176.41 million by 2029, exhibiting a CAGR of 11.39% during the forecast period.
Industrial automation development
With the continuous development and advancement of digitalization and IoT technology, industrial automation will further advance. At the same time, the continuous emergence and development of new technologies such as robots and artificial intelligence will also greatly promote the development of industrial automation.
From the perspective of industrial automation principles, industrial automation is to control various parameters in industrial production to achieve various process controls. Therefore, industrial automation requires the use of various sensors and IoT devices to collect, analyze and manage data. Among them, Data Historian is a time series database designed to effectively collect and store process data from industrial automation systems, including analog data such as temperature, pressure, and flow, and digital reading data such as valve positions and limit switches.
Therefore, with the development of industrial automation, the demand for data processing in industrial production continues to increase. Among them, Data Historian is the basis for data-driven decision-making in industrial automated production and plays a key role in ensuring that enterprises thrive in a data-rich environment. For example, Data Historian can record and store temperature, pressure, flow, liquid level and other data. With this historical data, companies can monitor process variables and ensure product quality and safety. At the same time, be able to troubleshoot and diagnose issues to reduce downtime and maintenance costs.
Overall, in the context of industrial automation developments, Data Historian can automatically collect time series data from numerous sensors in automated and smart factories so that analysts can leverage this data when needed, helping with data visualization, predictive maintenance alerts, etc. . Industrial automation factories can use Data Historian to understand every aspect of the factory to increase agility, efficiency and profitability in a competitive market. Therefore, as the adoption of Industry 4.0 and Industry 5.0 solutions, smart factories, factories and IIoT machinery continues to grow, more and more organizations in the industrial automation space are looking to Data Historian solutions. The development of industrial automation is one of the driving factors for the development of the industry.
Region Overview:
In 2022, the share of the Data Historian market in United States stood at 36.19%.
Company Overview:
Microsoft Azure is one of the major players operating in the Data Historian market, holding a share of 12.76% in 2023.
Segmentation Overview:
By type, On-Premises segment accounted for the largest share of market in 2022.
Application Overview:
By application, the Chemicals and Pharmaceuticals segment occupied the biggest share from 2018 to 2022.
Key Companies in the global Data Historian market covered in Chapter 3:
Yokogawa
Rockwell Automation
Automsoft
ABB
General Electric
Canary Labs
PTC
Siemens
Yellow Brick
Honeywell
AVEVA Group
Amazon Web Services, Inc.
Emerson
COPA-DATA
Ignition SCADA
Microsoft Azure
Aspen Technology
ICONICS
In Chapter 4 and Chapter 14.2, on the basis of types, the Data Historian market from 2019 to 2030 is primarily split into:
On-Premises
Cloud
In Chapter 5 and Chapter 14.3, on the basis of Downstream Industry, the Data Historian market from 2019 to 2030 covers:
Oil and gas
Chemicals and Pharmaceuticals
Paper and Pulp
Metals and Mining
Utilities
Data Centers
Manufacturing
Others
Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2019-2030) of the following regions are covered in Chapter 8 to Chapter 14:
North America (United States, Canada)
Europe (Germany, UK, France, Italy, Spain, Russia, Netherlands, Turkey, Switzerland, Sweden)
Asia Pacific (China, Japan, South Korea, Australia, India, Indonesia, Philippines, Malaysia)
Latin America (Brazil, Mexico, Argentina)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa)
Table of Contents
113 Pages
- Chapter 1 Market Definition and Statistical Scope
- Chapter 2 Research Findings and Conclusion
- Chapter 3 Key Companies’ Profile
- Chapter 4 Global Data Historian Market Segmented by Type
- Chapter 5 Global Data Historian Market Segmented by Downstream Industry
- Chapter 6 Data Historian Industry Chain Analysis
- Chapter 7 The Development and Dynamics of Data Historian Market
- Chapter 8 Global Data Historian Market Segmented by Geography
- Chapter 9 North America
- Chapter 10 Europe
- Chapter 11 Asia Pacific
- Chapter 12 Latin America
- Chapter 13 Middle East & Africa
- Chapter 14 Global Data Historian Market Forecast by Geography, Type, and Downstream Industry 2024-2030
- Chapter 15 Appendix
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