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PUBLISHER: Persistence Market Research | PRODUCT CODE: 1482426

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PUBLISHER: Persistence Market Research | PRODUCT CODE: 1482426

Data Historian Market by Product Type, End-Users, and Geography (North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa): Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2024-2032

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Persistence Market Research, a leading market research firm, has conducted an in-depth analysis of the global Data Historian Market. This comprehensive report provides valuable insights into key market dynamics, growth drivers, challenges, and emerging trends. It offers a thorough overview of the data historian segment within the industrial automation and software sectors, presenting exclusive data and statistics projecting the market's growth trajectory from 2024 to 2032.

Key Insights:

  • Data Historian Market Size (2024): US$1.60 Bn
  • Projected Market Value (2032): US$1.60 Bn
  • Global Market Growth Rate (CAGR 2024 to 2032):5.8%

Data Historian Market - Report Scope:

The Data Historian Market encompasses software solutions that collect, store, and analyze time-series data from industrial processes. Data historians are crucial for industries such as manufacturing, energy, oil & gas, pharmaceuticals, and utilities, enabling them to monitor and optimize operations, ensure regulatory compliance, and improve decision-making. These systems capture real-time data from sensors, control systems, and other industrial equipment, providing a historical record that can be used for performance analysis, predictive maintenance, and operational efficiency. Market growth is driven by the increasing adoption of Industrial Internet of Things (IIoT) technologies, the need for enhanced data analytics capabilities, and the demand for improved operational visibility and control.

Market Growth Drivers:

The global Data Historian Market benefits from several key growth drivers. The rapid adoption of IIoT technologies across various industries fuels the need for advanced data historian solutions to manage and analyze large volumes of time-series data generated by connected devices and systems. Moreover, the increasing focus on optimizing industrial operations, reducing downtime, and enhancing productivity drives demand for data historian software that can provide actionable insights and support predictive maintenance strategies. Additionally, stringent regulatory requirements related to data logging, traceability, and reporting in sectors such as pharmaceuticals, food & beverage, and energy necessitate the deployment of reliable data historian systems. Furthermore, advancements in cloud computing, big data analytics, and artificial intelligence (AI) enable the development of more scalable, efficient, and intelligent data historian solutions, further propelling market growth.

Market Restraints:

Despite its promising growth prospects, the Data Historian Market faces challenges related to data integration, cybersecurity, and scalability. Integrating data historian software with existing industrial control systems, enterprise resource planning (ERP) systems, and other IT infrastructure can be complex and require significant investment in time and resources. Moreover, ensuring the security and integrity of sensitive industrial data is a critical concern, as cyberattacks and data breaches can have severe consequences for operations and compliance. Additionally, scalability issues may arise as organizations seek to manage and analyze increasing volumes of data generated by expanding IIoT deployments, necessitating continuous upgrades and investments in data storage and processing capabilities. Addressing these challenges requires collaboration between technology providers, industry stakeholders, and regulatory bodies to develop robust, secure, and scalable data historian solutions.

Market Opportunities:

The Data Historian Market presents significant growth opportunities driven by technological innovations, industry-specific applications, and regional market expansion. Emerging trends such as edge computing, digital twins, and advanced data analytics offer new avenues for data historian solutions to deliver real-time insights, enhance operational efficiency, and support digital transformation initiatives. The development of industry-specific data historian applications, tailored to the unique requirements and challenges of sectors such as oil & gas, power generation, and pharmaceuticals, can provide competitive advantages and address niche market needs. Furthermore, expanding the adoption of data historian solutions in emerging markets, driven by industrialization, urbanization, and infrastructure development, creates new growth opportunities for market participants. Strategic partnerships, mergers, and acquisitions can also enable companies to expand their product portfolios, enhance technological capabilities, and accelerate market penetration in the dynamic data historian landscape.

Key Questions Answered in the Report:

  • What factors are driving the growth of the Data Historian Market globally?
  • How are advancements in IIoT and data analytics reshaping the competitive landscape of data historian solutions?
  • What are the key challenges and opportunities facing market participants in the data historian segment?
  • Which industries and regions offer the highest growth potential for data historian software and services?
  • What strategies are leading companies employing to maintain their competitive edge and drive innovation in the market?

Competitive Intelligence and Business Strategy:

Leading players in the global Data Historian Market, including software providers, industrial automation companies, and technology integrators, focus on innovation, product differentiation, and market expansion to gain a competitive edge. These companies invest in research and development to develop advanced data historian solutions with enhanced data analytics, visualization, and integration capabilities. Moreover, strategic collaborations with industry stakeholders, technology partners, and regulatory bodies enable companies to access market insights, technological expertise, and compliance support, facilitating product development and commercialization. Furthermore, emphasis on customer support, technical training, and professional services enhances brand reputation and customer loyalty in the competitive landscape of industrial data management and analytics.

Key Companies Profiled:

  • ABB
  • General Electric
  • Siemens
  • Yokogawa Electric Corporation
  • Emerson
  • Honeywell International
  • AVEVA Group plc (Schneider Electric)
  • Aspen Technology, Inc.
  • PTC
  • ICONICS, Inc.
  • Zenith Technologies
  • Canary Labs
  • Rockwell Automation, Inc.
  • Inductive Automation
  • COPA-DATA GmbH
  • Intelec Energy and Automation
  • Automsoft
  • PcVue Solutions
  • NDC Technologies
  • DataPARC
  • Open Systems International, Inc.

Data Historian Market Research Segmentation:

Data Historian Market by Solution:

  • Cloud-based
  • On-Premise

Data Historian Market by Industry:

  • Energy & Utilities
  • Pharmaceuticals
  • Paper & Pulp
  • Chemicals
  • Marine
  • Data Centers
  • Metal & Mining
  • Others

Data Historian Market by Region:

  • North America
  • Latin America
  • Europe
  • East Asia
  • South Asia & Pacific
  • Middle East and Africa (MEA)
Product Code: PMRREP24847

Table of Contents

1. Executive Summary

  • 1.1. Global Market Outlook
  • 1.2. Demand Side Trends
  • 1.3. Supply Side Trends
  • 1.4. Analysis and Recommendations

2. Market Overview

  • 2.1. Market Coverage / Taxonomy
  • 2.2. Market Definition / Scope / Limitations

3. Key Market Trends

  • 3.1. Key Trends Impacting the Market
  • 3.2. Product Innovation / Development Trends

4. Pricing Analysis

  • 4.1. Average Pricing by Solution
  • 4.2. Regional Pricing Break-up

5. Global Data Historian Market Demand (in Value in US$ Mn) Analysis 2019-2023 and Forecast, 2024-2032

  • 5.1. Historical Market Value (US$ Mn) Analysis, 2019-2023
  • 5.2. Current and Future Market Value (US$ Mn) Projections, 2024-2032
    • 5.2.1. Y-o-Y Growth Trend Analysis
    • 5.2.2. Absolute $ Opportunity Analysis

6. Market Background

  • 6.1. Macro-Economic Factors
  • 6.2. Forecast Factors - Relevance & Impact
  • 6.3. Value Chain
  • 6.4. COVID-19 Crisis - Impact Assessment on Data Historian Market
    • 6.4.1. Current Statistics
    • 6.4.2. Short-Mid-Long Term Outlook
    • 6.4.3. Likely Rebound
  • 6.5. Market Dynamics
    • 6.5.1. Drivers
    • 6.5.2. Restraints
    • 6.5.3. Opportunity Analysis

7. Global Data Historian Market Analysis 2019-2023 and Forecast 2024-2032, by Solution

  • 7.1. Introduction / Key Findings
  • 7.2. Historical Market Size (US$ Mn) Analysis By Solution, 2019-2023
  • 7.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Solution, 2024-2032
    • 7.3.1. Cloud-based Data Historian
    • 7.3.2. On-Premises Data Historian
  • 7.4. Market Attractiveness Analysis By Solution

8. Global Data Historian Market Analysis 2019-2023 and Forecast 2024-2032, By Industry

  • 8.1. Introduction / Key Findings
  • 8.2. Historical Market Size (US$ Mn) Analysis By Industry, 2019-2023
  • 8.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Industry, 2024-2032
    • 8.3.1. Energy & Utilities
    • 8.3.2. Pharmaceuticals
    • 8.3.3. Paper & Pulp
    • 8.3.4. Chemicals
    • 8.3.5. Marine
    • 8.3.6. Data Centers
    • 8.3.7. Metal & Mining
    • 8.3.8. Others
  • 8.4. Market Attractiveness Analysis By Industry

9. Global Data Historian Market Analysis 2019-2023 and Forecast 2024-2032, by Region

  • 9.1. Introduction
  • 9.2. Historical Market Size (US$ Mn) Analysis By Region, 2019-2023
  • 9.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Region, 2024-2032
    • 9.3.1. North America
    • 9.3.2. Latin America
    • 9.3.3. Europe
    • 9.3.4. East Asia
    • 9.3.5. South Asia and Pacific
    • 9.3.6. Middle East and Africa (MEA)
  • 9.4. Market Attractiveness Analysis By Region

10. North America Data Historian Market Analysis 2019-2023 and Forecast 2024-2032

  • 10.1. Introduction
  • 10.2. Historical Market Size (US$ Mn) Analysis By Market Taxonomy, 2019-2023
  • 10.3. Current and Future Market Size (US$ Mn) Forecast By Market Taxonomy, 2024-2032
    • 10.3.1. By Country
      • 10.3.1.1. U.S.
      • 10.3.1.2. Canada
    • 10.3.2. By Solution
    • 10.3.3. By Industry
  • 10.4. Market Attractiveness Analysis
    • 10.4.1. By Country
    • 10.4.2. By Solution
    • 10.4.3. By Industry
  • 10.5. Market Trends
  • 10.6. Key Market Participants - Intensity Mapping

11. Latin America Data Historian Market Analysis 2019-2023 and Forecast 2024-2032

  • 11.1. Introduction
  • 11.2. Historical Market Size (US$ Mn) Analysis By Market Taxonomy, 2019-2023
  • 11.3. Current and Future Market Size (US$ Mn) Forecast By Market Taxonomy, 2024-2032
    • 11.3.1. By Country
      • 11.3.1.1. Brazil
      • 11.3.1.2. Mexico
      • 11.3.1.3. Rest of Latin America
    • 11.3.2. By Solution
    • 11.3.3. By Industry
  • 11.4. Market Attractiveness Analysis
    • 11.4.1. By Country
    • 11.4.2. By Solution
    • 11.4.3. By Industry
  • 11.5. Market Trends
  • 11.6. Key Market Participants - Intensity Mapping

12. Europe Data Historian Market Analysis 2019-2023 and Forecast 2024-2032

  • 12.1. Introduction
  • 12.2. Historical Market Size (US$ Mn) Analysis By Market Taxonomy, 2019-2023
  • 12.3. Current and Future Market Size (US$ Mn) Forecast By Market Taxonomy, 2024-2032
    • 12.3.1. By Country
      • 12.3.1.1. Germany
      • 12.3.1.2. Italy
      • 12.3.1.3. France
      • 12.3.1.4. U.K.
      • 12.3.1.5. Spain
      • 12.3.1.6. BENELUX
      • 12.3.1.7. Russia
      • 12.3.1.8. Rest of Europe
    • 12.3.2. By Solution
    • 12.3.3. By Industry
  • 12.4. Market Attractiveness Analysis
    • 12.4.1. By Country
    • 12.4.2. By Solution
    • 12.4.3. By Industry
  • 12.5. Market Trends
  • 12.6. Key Market Participants - Intensity Mapping

13. South Asia and Pacific Data Historian Market Analysis 2019-2023 and Forecast 2024-2032

  • 13.1. Introduction
  • 13.2. Historical Market Size (US$ Mn) Analysis By Market Taxonomy, 2019-2023
  • 13.3. Current and Future Market Size (US$ Mn) Forecast By Market Taxonomy, 2024-2032
    • 13.3.1. By Country
      • 13.3.1.1. India
      • 13.3.1.2. ASEAN
      • 13.3.1.3. Oceania
      • 13.3.1.4. Rest of South Asia & Pacific
    • 13.3.2. By Solution
    • 13.3.3. By Industry
  • 13.4. Market Attractiveness Analysis
    • 13.4.1. By Country
    • 13.4.2. By Solution
    • 13.4.3. By Industry
  • 13.5. Market Trends
  • 13.6. Key Market Participants - Intensity Mapping

14. East Asia Data Historian Market Analysis 2019-2023 and Forecast 2024-2032

  • 14.1. Introduction
  • 14.2. Historical Market Size (US$ Mn) Analysis By Market Taxonomy, 2019-2023
  • 14.3. Current and Future Market Size (US$ Mn) Forecast By Market Taxonomy, 2024-2032
    • 14.3.1. By Country
      • 14.3.1.1. China
      • 14.3.1.2. Japan
      • 14.3.1.3. South Korea
    • 14.3.2. By Solution
    • 14.3.3. By Industry
  • 14.4. Market Attractiveness Analysis
    • 14.4.1. By Country
    • 14.4.2. By Solution
    • 14.4.3. By Industry
  • 14.5. Market Trends
  • 14.6. Key Market Participants - Intensity Mapping

15. Middle East and Africa Data Historian Market Analysis 2019-2023 and Forecast 2024-2032

  • 15.1. Introduction
  • 15.2. Historical Market Size (US$ Mn) Analysis By Market Taxonomy, 2019-2023
  • 15.3. Current and Future Market Size (US$ Mn) Forecast By Market Taxonomy, 2024-2032
    • 15.3.1. By Country
      • 15.3.1.1. GCC Countries
      • 15.3.1.2. Turkey
      • 15.3.1.3. Northern Africa
      • 15.3.1.4. South Africa
      • 15.3.1.5. Rest of Middle East and Africa
    • 15.3.2. By Solution
    • 15.3.3. By Industry
  • 15.4. Market Attractiveness Analysis
    • 15.4.1. By Country
    • 15.4.2. By Solution
    • 15.4.3. By Industry
  • 15.5. Market Trends
  • 15.6. Key Market Participants - Intensity Mapping

16. Country-wise Data Historian Market Analysis

  • 16.1. U.S. Data Historian Market Analysis
    • 16.1.1. By Solution
    • 16.1.2. By Industry
  • 16.2. Canada Data Historian Market Analysis
    • 16.2.1. By Solution
    • 16.2.2. By Industry
  • 16.3. Mexico Data Historian Market Analysis
    • 16.3.1. By Solution
    • 16.3.2. By Industry
  • 16.4. Brazil Data Historian Market Analysis
    • 16.4.1. By Solution
    • 16.4.2. By Industry
  • 16.5. Germany Data Historian Market Analysis
    • 16.5.1. By Solution
    • 16.5.2. By Industry
  • 16.6. Italy Data Historian Market Analysis
    • 16.6.1. By Solution
    • 16.6.2. By Industry
  • 16.7. France Data Historian Market Analysis
    • 16.7.1. By Solution
    • 16.7.2. By Industry
  • 16.8. U.K. Data Historian Market Analysis
    • 16.8.1. By Solution
    • 16.8.2. By Industry
  • 16.9. Spain Data Historian Market Analysis
    • 16.9.1. By Solution
    • 16.9.2. By Industry
  • 16.10. Russia Data Historian Market Analysis
    • 16.10.1. By Solution
    • 16.10.2. By Industry
  • 16.11. China Data Historian Market Analysis
    • 16.11.1. By Solution
    • 16.11.2. By Industry
  • 16.12. Japan Data Historian Market Analysis
    • 16.12.1. By Solution
    • 16.12.2. By Industry
  • 16.13. S. Korea Data Historian Market Analysis
    • 16.13.1. By Solution
    • 16.13.2. By Industry
  • 16.14. India Data Historian Market Analysis
    • 16.14.1. By Solution
    • 16.14.2. By Industry
  • 16.15. ASEAN Data Historian Market Analysis
    • 16.15.1. By Solution
    • 16.15.2. By Industry
  • 16.16. Oceania Data Historian Market Analysis
    • 16.16.1. By Solution
    • 16.16.2. By Industry
  • 16.17. Turkey Data Historian Market Analysis
    • 16.17.1. By Solution
    • 16.17.2. By Industry
  • 16.18. South Africa Data Historian Market Analysis
    • 16.18.1. By Solution
    • 16.18.2. By Industry

17. Market Structure Analysis

  • 17.1. Market Analysis by Tier of Companies
  • 17.2. Market Share Analysis of Top Players
  • 17.3. Market Presence Analysis

18. Competition Analysis

  • 18.1. Competition Dashboard
  • 18.2. Competition Deep Dive
    • 18.2.1. ABB
      • 18.2.1.1. Business Overview
      • 18.2.1.2. Product Portfolio
      • 18.2.1.3. Profitability by Market Segments
      • 18.2.1.4. SWOT Analysis
      • 18.2.1.5. Channel Partner Ecosystem
      • 18.2.1.6. Key Strategy & Development
    • 18.2.2. General Electric
      • 18.2.2.1. Business Overview
      • 18.2.2.2. Product Portfolio
      • 18.2.2.3. Profitability by Market Segments
      • 18.2.2.4. SWOT Analysis
      • 18.2.2.5. Channel Partner Ecosystem
      • 18.2.2.6. Key Strategy & Development
    • 18.2.3. Siemens
      • 18.2.3.1. Business Overview
      • 18.2.3.2. Product Portfolio
      • 18.2.3.3. Profitability by Market Segments
      • 18.2.3.4. SWOT Analysis
      • 18.2.3.5. Channel Partner Ecosystem
      • 18.2.3.6. Key Strategy & Development
    • 18.2.4. Yokogawa Electric Corporation
      • 18.2.4.1. Business Overview
      • 18.2.4.2. Product Portfolio
      • 18.2.4.3. Profitability by Market Segments
      • 18.2.4.4. SWOT Analysis
      • 18.2.4.5. Channel Partner Ecosystem
      • 18.2.4.6. Key Strategy & Development
    • 18.2.5. Emerson
      • 18.2.5.1. Business Overview
      • 18.2.5.2. Product Portfolio
      • 18.2.5.3. Profitability by Market Segments
      • 18.2.5.4. SWOT Analysis
      • 18.2.5.5. Channel Partner Ecosystem
      • 18.2.5.6. Key Strategy & Development
    • 18.2.6. Honeywell International
      • 18.2.6.1. Business Overview
      • 18.2.6.2. Product Portfolio
      • 18.2.6.3. Profitability by Market Segments
      • 18.2.6.4. SWOT Analysis
      • 18.2.6.5. Channel Partner Ecosystem
      • 18.2.6.6. Key Strategy & Development
    • 18.2.7. AVEVA Group plc (Schneider Electric)
      • 18.2.7.1. Business Overview
      • 18.2.7.2. Product Portfolio
      • 18.2.7.3. Profitability by Market Segments
      • 18.2.7.4. SWOT Analysis
      • 18.2.7.5. Channel Partner Ecosystem
      • 18.2.7.6. Key Strategy & Development
    • 18.2.8. Aspen Technology, Inc.
      • 18.2.8.1. Business Overview
      • 18.2.8.2. Product Portfolio
      • 18.2.8.3. Profitability by Market Segments
      • 18.2.8.4. SWOT Analysis
      • 18.2.8.5. Channel Partner Ecosystem
      • 18.2.8.6. Key Strategy & Development
    • 18.2.9. PTC
      • 18.2.9.1. Business Overview
      • 18.2.9.2. Product Portfolio
      • 18.2.9.3. Profitability by Market Segments
      • 18.2.9.4. SWOT Analysis
      • 18.2.9.5. Channel Partner Ecosystem
      • 18.2.9.6. Key Strategy & Development
    • 18.2.10. ICONICS, Inc.
      • 18.2.10.1. Business Overview
      • 18.2.10.2. Product Portfolio
      • 18.2.10.3. Profitability by Market Segments
      • 18.2.10.4. SWOT Analysis
      • 18.2.10.5. Channel Partner Ecosystem
      • 18.2.10.6. Key Strategy & Development
    • 18.2.11. Zenith Technologies
      • 18.2.11.1. Business Overview
      • 18.2.11.2. Product Portfolio
      • 18.2.11.3. Profitability by Market Segments
      • 18.2.11.4. SWOT Analysis
      • 18.2.11.5. Channel Partner Ecosystem
      • 18.2.11.6. Key Strategy & Development
    • 18.2.12. Canary Labs
      • 18.2.12.1. Business Overview
      • 18.2.12.2. Product Portfolio
      • 18.2.12.3. Profitability by Market Segments
      • 18.2.12.4. SWOT Analysis
      • 18.2.12.5. Channel Partner Ecosystem
      • 18.2.12.6. Key Strategy & Development
    • 18.2.13. Rockwell Automation, Inc.
      • 18.2.13.1. Business Overview
      • 18.2.13.2. Product Portfolio
      • 18.2.13.3. Profitability by Market Segments
      • 18.2.13.4. SWOT Analysis
      • 18.2.13.5. Channel Partner Ecosystem
      • 18.2.13.6. Key Strategy & Development
    • 18.2.14. Inductive Automation
      • 18.2.14.1. Business Overview
      • 18.2.14.2. Product Portfolio
      • 18.2.14.3. Profitability by Market Segments
      • 18.2.14.4. SWOT Analysis
      • 18.2.14.5. Channel Partner Ecosystem
      • 18.2.14.6. Key Strategy & Development
    • 18.2.15. COPA-DATA GmbH
      • 18.2.15.1. Business Overview
      • 18.2.15.2. Product Portfolio
      • 18.2.15.3. Profitability by Market Segments
      • 18.2.15.4. SWOT Analysis
      • 18.2.15.5. Channel Partner Ecosystem
      • 18.2.15.6. Key Strategy & Development
    • 18.2.16. Intelec Energy and Automation
      • 18.2.16.1. Business Overview
      • 18.2.16.2. Product Portfolio
      • 18.2.16.3. Profitability by Market Segments
      • 18.2.16.4. SWOT Analysis
      • 18.2.16.5. Channel Partner Ecosystem
      • 18.2.16.6. Key Strategy & Development
    • 18.2.17. Automsoft
      • 18.2.17.1. Business Overview
      • 18.2.17.2. Product Portfolio
      • 18.2.17.3. Profitability by Market Segments
      • 18.2.17.4. SWOT Analysis
      • 18.2.17.5. Channel Partner Ecosystem
      • 18.2.17.6. Key Strategy & Development
    • 18.2.18. PcVue Solutions
      • 18.2.18.1. Business Overview
      • 18.2.18.2. Product Portfolio
      • 18.2.18.3. Profitability by Market Segments
      • 18.2.18.4. SWOT Analysis
      • 18.2.18.5. Channel Partner Ecosystem
      • 18.2.18.6. Key Strategy & Development
    • 18.2.19. NDC Technologies
      • 18.2.19.1. Business Overview
      • 18.2.19.2. Product Portfolio
      • 18.2.19.3. Profitability by Market Segments
      • 18.2.19.4. SWOT Analysis
      • 18.2.19.5. Channel Partner Ecosystem
      • 18.2.19.6. Key Strategy & Development
    • 18.2.20. dataPARC
      • 18.2.20.1. Business Overview
      • 18.2.20.2. Product Portfolio
      • 18.2.20.3. Profitability by Market Segments
      • 18.2.20.4. SWOT Analysis
      • 18.2.20.5. Channel Partner Ecosystem
      • 18.2.20.6. Key Strategy & Development
    • 18.2.21. Open Systems International, Inc.
      • 18.2.21.1. Business Overview
      • 18.2.21.2. Product Portfolio
      • 18.2.21.3. Profitability by Market Segments
      • 18.2.21.4. SWOT Analysis
      • 18.2.21.5. Channel Partner Ecosystem
      • 18.2.21.6. Key Strategy & Development

19. Assumptions and Acronyms Used

20. Research Methodology

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Christine Sirois

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