Data Historian Market

Data Historian Market



Growth Factors of Data Historian Market

The data historian market size was valued at USD 1.38 billion in 2023, and the market is now projected to grow from USD 1.45 billion in 2024 to USD 2.69 billion by 2032, exhibiting a CAGR of 8.0% during the forecast period of 2023-2030.

The demand for data storage and analysis amplified due to an increase in data generation among various industries. Around 20% of the data generated by enterprises was in a structured format. And 80% of data is unstructured which has increased the market growth in the COVID-19 pandemic. Since the implementation of smart factors such as industry 4.0 and 5.0 solutions and IIOT machinery are continuously pushing the companies for the adoption of these services. Due to this more enterprises started implementing such tools. The COVID-19 pandemic created significant opportunities on the data historian market growth.

The data historian market share globally has been contributed due to the increasing adoption of data historians in industry 4.0. This tool is used to help industries make data-driven decisions for maximizing operational excellence and profit. Reduced cost of sensors on industrial equipment that detect operational conditions, temperature, vibration, pressure and RPM, and advancement in machine learning and AI algorithms that are authorized and offer valuable insights into equipment condition monitoring collectively increase the adoption of the historian tool.

The increasing popularity of cloud data historians is fueling the market expansion. Cloud-based software applications that collects, stores, and analyzes data from distributed control system networks through various communication protocols. The data can be visualized, accessed, and analyzed from any devices and location using a mobile app or web browser. It offers several advantages over local on-premise historians, including better performance, reliability, lower capital, and operational cost, and enhanced security and compliance.

Comprehensive Analysis of Data Historian Market

The data historian market and information & communication technology industry is rising at an exponential rate due to its market segmentation. This market expansion effectively provides a detailed regional assessment considering the dominant supply and demand forces that impact the hardware & software IT services industry. These segmentations are methodically segregated by types of deployment, application, and industry. The deployment includes on-premise and cloud. The by application category includes, production tracking, performance management, environmental auditing asset, GRC management, predictive maintenance, and others. Similarly, the industry segmentation is such as oil & gas, marine, paper & pulp, metals & mining, chemical & petrochemicals, energy & utilities, and others.

The North American region is conducive to the global data historian market leading to a recall of USD 0.57 billion owing to increasing investments and spending on research and development for innovation. Due to enlarged demand for industrial automation data which is improving asset performance and analyzing the large amount of data generated across process manufacturing industries in the region.

The top players in the market play a crucial role in the hardware & software IT services industry assuring industrial prospectus growth and setting market standards. These players include, Siemens (U.S.), GE (U.S.), Rockwell Automation (U.S.), IBM (U.S.), ABB (Switzerland), Honeywell (U.S.), Emerson (U.S.), AVEVA (U.K.), Inductive Automation (U.S.), Open Automation Software (U.S.) these market players provide a level-playing competitive landscape.

In May 2023, dataPARC, innovators in industrial analytics and manufacturing decision support, announced the release of its next-generation data historian platform. The aim of this launch is for delivering federated plant operations data to technology, engineering, and operation teams. The new platform boasts better performance, superior security, and broadened manufacturing intelligence capabilities.

Segmentation Table

Global Data Historian Market Scope

ATTRIBUTE DETAILS

Study Period 2019-2032

Base Year 2023

Estimated Year 2024

Forecast Period 2024-2032

Historical Period 2019-2022

Growth Rate CAGR of 8.0% from 2024 to 2032

Unit Value (USD Billion)

Segmentation By Deployment
  • On-premise
  • Cloud
By Application
  • Production Tracking
  • Performance Management
  • Environmental Auditing Asset
  • GRC Management
  • Predictive Maintenance
  • Others
By Industry
  • Oil & Gas
  • Marine
  • Paper & Pulp
  • Metals & Mining
  • Chemical & Petrochemicals
  • Energy & Utilities
  • Others (IT, Transportation,)
By Region
  • North America (By Deployment, Application, Industry, and Country)
  • U.S.
  • Canada
  • Mexico
  • South America (By Deployment, Application, Industry, and Country)
  • Brazil
  • Argentina
  • Rest of South America
  • Europe (By Deployment, Application, Industry, and Country)
  • U.K.
  • Germany
  • France
  • Italy
  • Spain
  • Russia
  • Benelux
  • Nordics
  • Rest of Europe
  • Middle East & Africa (By Deployment, Application, Industry, and Country)
  • Turkey
  • Israel
  • GCC
  • North Africa
  • South Africa
  • Rest of Middle East & Africa
  • Asia Pacific (By Deployment, Application, Industry, and Country)
  • China
  • Japan
  • India
  • South Korea
  • ASEAN
  • Oceania
  • Rest of Asia Pacific


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1. Introduction
1.1. Definition, By Segment
1.2. Research Methodology/Approach
1.3. Data Sources
2. Executive Summary
3. Market Dynamics
3.1. Macro and Micro Economic Indicators
3.2. Drivers, Restraints, Opportunities and Trends
3.3. Impact of AI on the Market
4. Competition Landscape
4.1. Business Strategies Adopted by Key Players
4.2. Consolidated SWOT Analysis of Key Players
4.3. Global Data Historian Key Players Market Share/Ranking, 2023
5. Global Data Historian Market Size Estimates and Forecasts, By Segments, 2019-2032
5.1. Key Findings
5.2. By Deployment (USD)
5.2.1. On-premise
5.2.2. Cloud
5.3. By Application (USD)
5.3.1. Production Tracking
5.3.2. Performance Management
5.3.3. Environmental Auditing Asset
5.3.4. GRC Management
5.3.5. Predictive Maintenance
5.3.6. Others
5.4. By Industry (USD)
5.4.1. Oil & Gas
5.4.2. Marine
5.4.3. Paper & Pulp
5.4.4. Metals & Mining
5.4.5. Chemical & Petrochemicals
5.4.6. Energy & Utilities
5.4.7. Others (IT, Transportation, etc.)
5.5. By Region (USD)
5.5.1. North America
5.5.2. South America
5.5.3. Europe
5.5.4. Middle East & Africa
5.5.5. Asia Pacific
6. North America Data Historian Market Size Estimates and Forecasts, By Segments, 2019-2032
6.1. Key Findings
6.2. By Deployment (USD)
6.2.1. On-premise
6.2.2. Cloud
6.3. By Application (USD)
6.3.1. Production Tracking
6.3.2. Performance Management
6.3.3. Environmental Auditing Asset
6.3.4. GRC Management
6.3.5. Predictive Maintenance
6.3.6. Others
6.4. By Industry (USD)
6.4.1. Oil & Gas
6.4.2. Marine
6.4.3. Paper & Pulp
6.4.4. Metals & Mining
6.4.5. Chemical & Petrochemicals
6.4.6. Energy & Utilities
6.4.7. Others (IT, Transportation, etc.)
6.5. By Country (USD)
6.5.1. United States
6.5.2. Canada
6.5.3. Mexico
7. South America Data Historian Market Size Estimates and Forecasts, By Segments, 2019-2032
7.1. Key Findings
7.2. By Deployment (USD)
7.2.1. On-premise
7.2.2. Cloud
7.3. By Application (USD)
7.3.1. Production Tracking
7.3.2. Performance Management
7.3.3. Environmental Auditing Asset
7.3.4. GRC Management
7.3.5. Predictive Maintenance
7.3.6. Others
7.4. By Industry (USD)
7.4.1. Oil & Gas
7.4.2. Marine
7.4.3. Paper & Pulp
7.4.4. Metals & Mining
7.4.5. Chemical & Petrochemicals
7.4.6. Energy & Utilities
7.4.7. Others (IT, Transportation, etc.)
7.5. By Country (USD)
7.5.1. Brazil
7.5.2. Argentina
7.5.3. Rest of South America
8. Europe Data Historian Market Size Estimates and Forecasts, By Segments, 2019-2032
8.1. Key Findings
8.2. By Deployment (USD)
8.2.1. On-premise
8.2.2. Cloud
8.3. By Application (USD)
8.3.1. Production Tracking
8.3.2. Performance Management
8.3.3. Environmental Auditing Asset
8.3.4. GRC Management
8.3.5. Predictive Maintenance
8.3.6. Others
8.4. By Industry (USD)
8.4.1. Oil & Gas
8.4.2. Marine
8.4.3. Paper & Pulp
8.4.4. Metals & Mining
8.4.5. Chemical & Petrochemicals
8.4.6. Energy & Utilities
8.4.7. Others (IT, Transportation, etc.)
8.5. By Country (USD)
8.5.1. United Kingdom
8.5.2. Germany
8.5.3. France
8.5.4. Italy
8.5.5. Spain
8.5.6. Russia
8.5.7. Benelux
8.5.8. Nordics
8.5.9. Rest of Europe
9. Middle East & Africa Data Historian Market Size Estimates and Forecasts, By Segments, 2019-2032
9.1. Key Findings
9.2. By Deployment (USD)
9.2.1. On-premise
9.2.2. Cloud
9.3. By Application (USD)
9.3.1. Production Tracking
9.3.2. Performance Management
9.3.3. Environmental Auditing Asset
9.3.4. GRC Management
9.3.5. Predictive Maintenance
9.3.6. Others
9.4. By Industry (USD)
9.4.1. Oil & Gas
9.4.2. Marine
9.4.3. Paper & Pulp
9.4.4. Metals & Mining
9.4.5. Chemical & Petrochemicals
9.4.6. Energy & Utilities
9.4.7. Others (IT, Transportation, etc.)
9.5. By Country (USD)
9.5.1. Turkey
9.5.2. Israel
9.5.3. GCC
9.5.4. South Africa
9.5.5. North Africa
9.5.6. Rest of MEA
10. Asia Pacific Data Historian Market Size Estimates and Forecasts, By Segments, 2019-2032
10.1. Key Findings
10.2. By Deployment (USD)
10.2.1. On-premise
10.2.2. Cloud
10.3. By Application (USD)
10.3.1. Production Tracking
10.3.2. Performance Management
10.3.3. Environmental Auditing Asset
10.3.4. GRC Management
10.3.5. Predictive Maintenance
10.3.6. Others
10.4. By Industry (USD)
10.4.1. Oil & Gas
10.4.2. Marine
10.4.3. Paper & Pulp
10.4.4. Metals & Mining
10.4.5. Chemical & Petrochemicals
10.4.6. Energy & Utilities
10.4.7. Others (IT, Transportation, etc.)
10.5. By Country (USD)
10.5.1. China
10.5.2. India
10.5.3. Japan
10.5.4. South Korea
10.5.5. ASEAN
10.5.6. Oceania
10.5.7. Rest of Asia Pacific
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
11.1. Siemens
11.1.1. Overview
11.1.1.1. Key Management
11.1.1.2. Headquarters
11.1.1.3. Offerings/Business Segments
11.1.2. Key Details (Key details are consolidated data and not product/service specific)
11.1.2.1. Employee Size
11.1.2.2. Past and Current Revenue
11.1.2.3. Geographical Share
11.1.2.4. Business Segment Share
11.1.2.5. Recent Developments
11.2. GE
11.2.1. Overview
11.2.1.1. Key Management
11.2.1.2. Headquarters
11.2.1.3. Offerings/Business Segments
11.2.2. Key Details (Key details are consolidated data and not product/service specific)
11.2.2.1. Employee Size
11.2.2.2. Past and Current Revenue
11.2.2.3. Geographical Share
11.2.2.4. Business Segment Share
11.2.2.5. Recent Developments
11.3. Rockwell Automation
11.3.1. Overview
11.3.1.1. Key Management
11.3.1.2. Headquarters
11.3.1.3. Offerings/Business Segments
11.3.2. Key Details (Key details are consolidated data and not product/service specific)
11.3.2.1. Employee Size
11.3.2.2. Past and Current Revenue
11.3.2.3. Geographical Share
11.3.2.4. Business Segment Share
11.3.2.5. Recent Developments
11.4. IBM
11.4.1. Overview
11.4.1.1. Key Management
11.4.1.2. Headquarters
11.4.1.3. Offerings/Business Segments
11.4.2. Key Details (Key details are consolidated data and not product/service specific)
11.4.2.1. Employee Size
11.4.2.2. Past and Current Revenue
11.4.2.3. Geographical Share
11.4.2.4. Business Segment Share
11.4.2.5. Recent Developments
11.5. ABB
11.5.1. Overview
11.5.1.1. Key Management
11.5.1.2. Headquarters
11.5.1.3. Offerings/Business Segments
11.5.2. Key Details (Key details are consolidated data and not product/service specific)
11.5.2.1. Employee Size
11.5.2.2. Past and Current Revenue
11.5.2.3. Geographical Share
11.5.2.4. Business Segment Share
11.5.2.5. Recent Developments
11.6. Honeywell
11.6.1. Overview
11.6.1.1. Key Management
11.6.1.2. Headquarters
11.6.1.3. Offerings/Business Segments
11.6.2. Key Details (Key details are consolidated data and not product/service specific)
11.6.2.1. Employee Size
11.6.2.2. Past and Current Revenue
11.6.2.3. Geographical Share
11.6.2.4. Business Segment Share
11.6.2.5. Recent Developments
11.7. Emerson
11.7.1. Overview
11.7.1.1. Key Management
11.7.1.2. Headquarters
11.7.1.3. Offerings/Business Segments
11.7.2. Key Details (Key details are consolidated data and not product/service specific)
11.7.2.1. Employee Size
11.7.2.2. Past and Current Revenue
11.7.2.3. Geographical Share
11.7.2.4. Business Segment Share
11.7.2.5. Recent Developments
11.8. AVEVA
11.8.1. Overview
11.8.1.1. Key Management
11.8.1.2. Headquarters
11.8.1.3. Offerings/Business Segments
11.8.2. Key Details (Key details are consolidated data and not product/service specific)
11.8.2.1. Employee Size
11.8.2.2. Past and Current Revenue
11.8.2.3. Geographical Share
11.8.2.4. Business Segment Share
11.8.2.5. Recent Developments
11.9. Inductive Automation
11.9.1. Overview
11.9.1.1. Key Management
11.9.1.2. Headquarters
11.9.1.3. Offerings/Business Segments
11.9.2. Key Details (Key details are consolidated data and not product/service specific)
11.9.2.1. Employee Size
11.9.2.2. Past and Current Revenue
11.9.2.3. Geographical Share
11.9.2.4. Business Segment Share
11.9.2.5. Recent Developments
11.10. Open Automation Software
11.10.1. Overview
11.10.1.1. Key Management
11.10.1.2. Headquarters
11.10.1.3. Offerings/Business Segments
11.10.2. Key Details (Key details are consolidated data and not product/service specific)
11.10.2.1. Employee Size
11.10.2.2. Past and Current Revenue
11.10.2.3. Geographical Share
11.10.2.4. Business Segment Share
11.10.2.5. Recent Developments

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