2. • A data historian is a specialized software or system used
to collect, store, and manage time-series data from
various sources within an industrial or enterprise
environment. It is commonly used in industrial
automation, manufacturing, and process control
industries, as well as in other sectors that require
continuous data monitoring and analysis.
• The main purpose of a data historian is to provide a
robust and reliable method for storing large volumes of
time-stamped data points and making that data
accessible for analysis, reporting, and decision-making
purposes. It differs from traditional databases in its
ability to handle large amounts of real-time data and
provide fast data retrieval, especially for historical data
analysis.
3. Key features of a data historian typically include:
Data Collection:The data historian gathers data from various
sources, such as sensors, industrial equipment, machines, and
control systems. It can handle different data types, including
numeric values, events, and alarms.
Time-Series Data Storage: Data historians store time-stamped data
in a structured manner, making it easy to analyze data over time
and perform historical data comparisons.
High Performance: Data historians are optimized for high-
performance data storage and retrieval.They can handle large
volumes of data points generated at high frequencies without
compromising data integrity.
Compression and Aggregation:To optimize storage space and
improve data retrieval performance, data historians often use data
compression and aggregation techniques to store historical data
effectively.
Tagging and Annotation: Data historians allow users to tag and
annotate data points, providing additional context and information
for future analysis.
4. • Query and Analysis: Data historians offer various tools for
querying and analyzing historical data, allowing users to
perform complex data analysis, trend analysis, and create
reports and charts.
• Data Security: Data historians typically provide robust
security features to ensure data integrity and protect
sensitive industrial data.
• The data stored in a historian can be used for various
purposes, such as process optimization, troubleshooting,
predictive maintenance, regulatory compliance, and
performance analysis.
• Examples of popular data historian software include OSIsoft
PI System, Wonderware Historian, and GE Digital Historian,
among others.These systems have been widely adopted in
industrial settings to help organizations leverage their
historical data for better decision-making and operational
efficiency.
5. Data Historian Market By Regions
• If opting for the Global version Data
Historian Market; then the below
country analysis would be included:
North America (the USA, Canada, and
Mexico) Europe (Germany, France, the
United Kingdom, Netherlands, Italy,
Nordic Nations, Spain, Switzerland,
and the Rest of Europe) Asia-Pacific
(China, Japan, Australia, New
Zealand, South Korea, India,
Southeast Asia, and the Rest of APAC)
South America (Brazil, Argentina,
Chile, Colombia, the Rest of the
countries, etc.)The Middle East and
Africa (Saudi Arabia, United Arab
Emirates, Israel, Egypt,Turkey,
Nigeria, South Africa, Rest of MEA)
6. • Data Historian Market Growth 2023-2029 is the latest research
study released by HTF MI evaluating the market risk side
analysis, highlighting opportunities, and leveraging with
strategic and tactical decision-making support,
• https://www.htfmarketintelligence.com/report/global-data-
historian-market
7. • Contact Us :
Craig Francis (PR & Marketing Manager)
HTF Market Intelligence Consulting Private Limited
Phone: +1 434 322 0091
sales@htfmarketintelligence.com
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