Global Data Historian Market Size By Deployment (On-Premise, Cloud), By Component (Software, Services), By End-Use Industry (Oil And Gas, Manufacturing, Data Centers), Geographic Scope And Forecast

Data Historian Market Size And Forecast

Data Historian Market size was valued at USD 1,123.11 Million in 2021 and is projected to reach USD 1,786.90 Million by 2030, growing at a CAGR of 6.21% from 2023 to 2030.

Constant innovation and deployment of new technologies, such as hyper historian software and plant data historian software, for a variety of applications, including asset performance management and production tracking have the potential to drive the growth of the Data Historian Market. The Global Data Historian 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.

Global Data Historian Market Definition

A data historian is a software program that is used to periodically record the data of a production unit across various industry verticals. The data historian can store recorded data files in a time series database with little disk space usage and allow the user to retrieve data with minimal effort and time. Operators can use a time series database to learn about the past operation of machines, systems, equipment, and other characteristics, as well as their performance during the production process.

Businesses now need to offer the right information to the right person at the right time as their operations grow rapidly. Despite the challenges, data aggregation is critical to prioritizing business tasks such as improving customer experience, operational processes, and overall business success. Data history solutions are essential for collecting, preserving, and making data available to users across organizations. Data history systems synchronize data and eliminate the hassle of maintaining multiple connections in multiple locations.Plant managers and engineers can analyze and debug control loops, investigate problems, and record changes in equipment behavior thanks to reduced complexity. As a result, the adoption of data history solutions is expected to be driven by real-time decisions and improved analytics. data history solutions have become essential for combining data from different sources.

The COVID-19 pandemic hit various industry verticals hard in 2020. Due to the coronavirus pandemic, significant players in this market have faced unprecedented challenges due to production disruptions, delayed orders, and various suspended contracts. However, Data historians are widely adopted in multiple industries, and their demand has been unaffected even during the COVID-19 pandemic.

The original historians were built on DEC VAX/VMS minicomputers and intended to store data for analytics and regulatory needs. Naturally, time series databases and spreadsheets were being developed and evolving simultaneously as historians and other components of industrial automation analytics. Soon after OSIsoft established its historians, other industrial automation industry players followed in its footsteps and created historians of their own, adding historians to hardware platforms and components or offering historians as different software solutions to augment SCADA systems. Many SCADA developers, such as Inductive Automation (the creator of Ignition SCADA), included data historians as one of the system features. In contrast, prominent vendors like Siemens, Honeywell International, and ABB traditionally retained them as standalone products.

The Industrial Internet of Things (IIoT), Big Data, cloud services, and other technical innovations that produce enormous (and continuously expanding) volumes of real-time data are driving the new wave of interest in time series data solutions. Several new initiatives have been launched to meet this growing need, including Google Cloud IoT, Azure IoT by Microsoft, and Amazon Timestream, as well as open-source relational databases for time-series data like TimescaleDB and InfluxDB. Naturally, many customers are using different data historians now than ever before.

The use of multi-site cloud-based implementations that roll data into a single view has replaced single-site, on-premises versions for data historians. A system integrator and software provider ecosystem has also emerged to install these systems and provide value-added applications on top of Data Historians.

Global Data Historian Market Overview

Data historian solutions are essential for gathering, preserving, and making data available to users across companies. Systems for data historians synchronize data, removing the requirement to maintain various connections across multiple site locations. When reliability and uptime are essential, organizations utilize data historians to acquire information about the performance of processes and diagnose failures. Their records include such things as (for example, CPU temperature, fan, and other equipment RPMs, flow rates, fluid levels, and pressure levels), digital readings (for instance valve positions, limit switches, discrete level sensors, and motor status), quality assurance data such as process, product, and custom limits, alerts such as out-of-limit and return-to-normal signals. Also, this software aggregates data such as average, standard deviation, process capability, and moving average.

The market’s expansion is attributed to the wide applications for recording data on network bandwidth, fluid levels, pressure levels, fan temperature, limit switches, and valve positions in one or more locations in data centers, chemical plants, nuclear power plants, automobiles, pharmaceutical manufacturing, water management, environmental control, and agriculture. Additionally, users can use data historians to assess its performance, effectiveness, profitability, and production failures. Manufacturing operations trying to switch production to innovative products and boost productivity have been more dependent on data historians who offer sensor data analytics since the pandemic.

Operational data in control systems were traditionally only accessible to operations teams physically present in plants. Still, due to growing remote working and digital transformation projects, offsite engineers now need access to data. It is becoming more crucial to automate operational data collection.

When production problems arise, historical data is essential for root-cause analysis to locate the roots of the issues. When a root cause is removed from the problem fault sequence, the final undesirable event is prevented from happening again. For instance, frequent problems seen in process applications include operator error, inadequate cleaning times, inappropriate cleaning solution strengths, device malfunctions, and wrong process temperatures. Hence, gathering and storage of data from all areas of a plant are streamlined by data historians. Process manufacturing companies can use data historians and advanced analytics tools to get visibility into every part of the plant and boost profitability and efficiency in a competitive market.

Moreover, with the emergence of Industry 4.0, smart factories, and smart plants, organizations worldwide are promoting the exploitation of huge volumes of data at several layers of their process. As a result, enterprises are increasingly looking for data historian solutions to accomplish effective management, reliable and efficient plant operations, and strong analysis. Organizations are also using data historians to compile information from several sources onto a single platform for analysis. To enhance decision-making and problem-solving skills for its five paper mill sites throughout Europe, Palm Group, one of the top companies in the European paper sector, chose BTG’s dataPARC data historian, analytics, and visualization software. Thus, the demand for consolidated data to improve processes and performance is increasing.

Global Data Historian MarketSegmentation Analysis

The Global Data Historian Market is segmented on the basis of Deployment Mode, Component, End-Use Industry, And Geography.

Data Historian Market, By Deployment

• On-Premises
• Cloud

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On the basis of Deployment, the Global Data Historian Market has been segmented into On-premises, and cloud. On-premises accounted for the largest market share of 64.94% in 2021, with a market value of USD 848.46 Million, and is projected to grow at a CAGR of 5.31% during the forecast period. This software is more expensive than on-demand or cloud-based software because it requires in-house server hardware, capital investment in software licenses, in-house IT support staff, and longer integration periods. However, it is considered more secure, as the entire software instance remains on the organization’s premises. With on-premises infrastructure, all services are run, managed, and maintained from within the business on their hardware and servers. One of the notable advantages of on-premises access to data historians is that it gives users physical control over the server. Cloud-based was the second-largest market in 2021, valued at USD 458.09 Million in 2021; it is projected to grow at the highest CAGR of 7.48%.

Data Historian Market, By Component

• Software
• Services

On the basis of Component, the Global Data Historian Market is classified into Services and Software. Services accounted for the largest market share of 62.78% in 2021, with a market value of USD 820.21 Million, and is projected to grow at a CAGR of 5.52% during the forecast period. Prominent key players offer a fully cloud-managed service, or the historian service can be deployed locally on the measurement unit, local intranet, or both. Monthly data upkeep and storage for fully hosted managed services are charged monthly. Data historian services are a database software service for continuous, long-term monitoring. It offers storage in a time-series database for applications requiring long-term and ongoing monitoring. Platform independence allows the Historian service to function on any operating system. The software was the second-largest market in 2021, valued at USD 486.34 Million in 2021; it is projected to grow at the highest CAGR of 7.06%, and they offer numerous benefits, including improved energy efficiency and longer lifespan of HVAC equipment.

Data Historian Market, By End-Use Industry

• Oil and Gas
• Manufacturing
• Data Centers
• Others

Based on End-use Industry, the market is segmented into oil & gas, manufacturing, data centers, and others. The Global Data Historian Market is experiencing a scaled level of attractiveness in the Manufacturing segment. The Manufacturing segment holds the highest share of the market. It is anticipated to account for the highest market share of 25.91% by 2030. The segment is projected to gain an incremental market value of USD 139.79 Million and grow at a CAGR of 4.09% between 2023 and 2030.

A data historian is a piece of software that makes it possible to record production data from operations carried out by a manufacturing system. It makes information storage and timely retrieval more efficient. It gathers time-series data from the numerous sensors so that plant engineers can access it as needed. A historian’s data can be used for advanced analytics tools that produce insights for predictive monitoring and maintenance alerts, tracking changing market conditions, and direct business decision-making for the manufacturing sector.

Data Historian Market, By Geography

• North America
• Europe
• Asia Pacific
• Middle East and Africa
• Latin America

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On the basis of regional analysis, the Global Data Historian Market is classified into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.

North America accounted for the largest market share of 44.71% in 2021, with a market value of USD 584.16 Million and is projected to grow at a CAGR of 5.49% during the forecast period. Asia Pacific was the second-largest market in 2021, valued at USD 192.26 Million in 2021; it is projected to grow at a CAGR of 5.92%. However, Latin America is projected to grow at the highest CAGR of 8.74%. North America is the most developed region in the world in almost all industries including communication, healthcare, life sciences, infrastructure, manufacturing, and technology, amongst others. North America is going to hold the largest market share during the forecasted period due to various driving factors including, the rising demand for data historian software in different industries across North America, the rise in adoption of cloud-based software, growing demand from oil and gas industry across the region, and the rest others.

Demand for data historian software across the North American continent is growing as greater business value is generated by a historian software solution that rapidly collects industrial time series and data, stores it efficiently and securely, distributes it, and enables quick retrieval and analysis. Making data available for asset and process performance analysis alters how businesses operate and compete. Additionally, it is necessary to maintain the appropriate equipment due to the typical remoteness of the exploration sites from populated areas in the Oil & Gas Industry.

Key Players

The major players in the market are; Siemens AG, Mitsubishi Electric Corporation & ICONICS Inc., Rockwell Automation Inc., ABB, AVEVA Group plc (Schneider Electric), General Electric Company, Emerson Electric Co., Honeywell International Inc., TRIHEDRAL (VTSCADA), Open Automation Software, and Others. This section provides a company overview, ranking analysis, company regional and industry footprint, and ACE Matrix.

Key Developments

• In May 2022, GE Digital announced that electric utilities can now use Proficy Historian, a data management tool. Utilities can reduce complexity and enable the production of new value with Proficy Historian for Grid.
• In Dec 2019, General Electric Digital announced the enhancement of its Proficy Historian offering, which provides customers with a scalable solution for data collection and aggregation across deployments of any size and extends data migration from edge to cloud. The updates include tag mapping, trend analysis with annotations, and the ability to define an asset model, allowing users to put data in context with business needs.

Company Market Ranking Analysis

The company ranking analysis provides a deeper understanding of the top 5 players operating Data Historian market. takes into consideration several factors before providing a company ranking. The top three players for the Data Historian market are Siemens AG, Mitsubishi Electric Corporation & ICONICS Inc., Rockwell Automation Inc., and ABB. The factors considered for evaluating these players include company’s brand value, product portfolio (including product variations, specifications, features and price), company presence across major regions, product related sales obtained by the company in recent years and its share in the total revenue. further study the company’s product portfolio based on the technologies adopted or new strategies undertaken by the company to enhance their market presence globally or regionally. We also consider the distribution network (online as well as offline) of the company that helps us to understand the company’s presence and foothold in various Data Historian markets.

Company Regional/Industry Footprint

The company’s regional section provides geographical presence, regional level reach, or the respective company’s sales network presence. For instance, Rockwell Automation Inc has its presence globally i.e., in North America, Europe, Asia Pacific, Latin Amer