- Data historian software can store data efficiently with low disk storage requirements and fast retrieval.
- Data historian software does the job of recording the data over the time from one or more locations for the user.
- The major application of data historian software comes in the oil and gas companies, which use predictive maintenance capabilities.
A data historian solution records data acquired during a process and retrieves it by time. Data historian software can store data efficiently with low disk storage requirements and fast retrieval.
The control systems used in industries are often data historian software. Data historian software is used in many processes, including data centers, chemical plants, automobile, pharmaceutical manufacturing, water management, paper and pulp, oil and gas, etc.
Data historian software does the job of recording the data over the time from one or more locations for the user. Data historian software can record data on fluid levels, network bandwidth, pressure level, fan temperature, limit switches valve positions, and so much more. If it is measurable, it can be stored.
There are various uses of data historian software, as corporations use it to manage increasing data volumes to reduce storage cost, to improve productivity and maintain continuity in business. This has led to a rising demand for data historian software. The major application of data historian software comes in the oil and gas companies, which use predictive maintenance capabilities from the data historian software solution.
Drivers and Challenges
The feature of data historian software, such as synchronization of the data, which eliminates the complexity and allows maintaining multiple connections across distant site locations is expected to drive growth of the data historian software market. Also, the need to get required data at the correct point of time to avoid accidents in a processes is where data historian software plays a major role, which is further driving market growth.
However, the high implementation cost of data historian software and unavailability of reasonable models are major factors expected to restrain market growth.
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The data historian market can be segmented by component, end-user, application, deployment, organization size, and region.
On the basis of component, the data historian market is segmented into: Software and Services. On the basis of end-user, the data historian market is segmented into: Data Centers, Chemicals & Pharmaceuticals, Oil & Gas, Metal & Mining, Paper & Pulp, Marine, Others. On the basis of application, the data historian market is segmented into: Production Tracking, Environmental Auditing, Asset Performance Management, GRC Management, Predictive Maintenance and Others.
On the basis of deployment, the data historian market is segmented into: On-Premises and Cloud. On the basis of deployment, the data historian market is segmented into: Large Enterprises and Small and Medium Enterprises.
Examples of some of the key players in the data historian market are ABB Ltd, General Electric Company, Siemens AG, Emerson Electric Co., Honeywell International Inc., AVEVA Group plc, Rockwell Auto, ation Inc.
ICONICS Inc., OSIsoft, IBM Corporation, PTC Inc., Yokogawa Electric Corporation, Inductive Automation, Open Automation Software, Canary Labs, InfluxData Inc., Kx Systems, LLC and Progea, and Savigent Software, among others.
On the basis of geography, the data historian market can be segmented into North America, Latin America, Western Europe, Eastern Europe, China, SEA and other APAC, Japan, and Middle East & Africa.
Among various regions, SEA and other APAC data historian market is seen to be leading in terms of value with India and Taiwan being the most attractive markets in the region. Also, the SEA and other APAC market is seen to be growing at the fastest rate due to increasing spending on R&D for new innovation in the data historian market. Also, increased spending in Australia and India in SEA and others of APAC in the data historian market has urged a greater need of cost-effective data management software and services.
North America and Western Europe follow SEA and other APAC in terms of value over the forecast period due to the rising number of companies in the region.