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市场调查报告书
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1482426

资料历史学家市场：依产品类型、最终用户、地区 - 全球产业分析、规模、占有率、成长、趋势、预测，2024-2032 年

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
出版日期: | 出版商: Persistence Market Research | 英文 425 Pages | 商品交期: 2-5个工作天内

价格
简介目录

本研究报告是 Persistence Market Research 的市场研究报告，提供了全球数据历史记录市场的详细分析和预测。这份综合报告提供了关键市场动态、成长动力、课题和新兴趋势的宝贵见解。它全面概述了工业自动化和软体领域的数据历史记录领域，并提供了独家数据和统计数据来预测 2024 年至 2032 年的市场成长轨迹。

重要见解

  • 数据历史记录市场规模（2024 年）：16 亿美元
  • 预计市值（2032年）：16亿美元
  • 全球市场成长率（复合年增长率，2024-2032）：5.8%

数据历史学家市场 - 报告范围：

资料历史记录市场包括收集、储存和分析工业过程中的时间序列资料的软体解决方案。数据历史学家对于製造业、能源、石油和天然气、製药和公用事业等行业至关重要，使他们能够监控和优化营运、确保合规性并改善决策。这些系统从感测器、控制系统和其他工业设备捕获即时数据，并提供可用于性能分析、预测性维护和营运效率的历史记录。工业物联网 (IIoT) 技术的日益普及、对增强数据分析能力的需求以及对提高营运可视性和控制的需求推动了市场成长。

市场成长动力：

全球数据历史记录市场受益于几个关键的成长动力。工业物联网技术在各行业的快速采用推动了对先进数据历史解决方案的需求，以管理和分析互联设备和系统产生的大量时间序列数据。此外，人们越来越关注优化工业运营、减少停机时间和提高生产率，这增加了对能够提供可行见解并支援预测性维护策略的数据历史软体的需求。此外，製药、食品和饮料以及能源等行业对数据记录、可追溯性和报告的监管要求越来越严格，因此需要实施可靠的数据历史系统。此外，云端运算、大数据分析和人工智慧 (AI) 的进步使得开发更具可扩展性、高效和智慧的数据历史解决方案成为可能，进一步推动市场成长。

市场限制因素：

儘管成长前景广阔，但数据历史记录市场面临数据整合、网路安全和可扩展性方面的课题。将资料历史软体与现有工业控制系统、企业资源规划 (ERP) 系统和其他 IT 基础架构整合非常复杂，需要投入大量时间和资源。此外，确保敏感工业资料的安全性和完整性是一个关键问题，因为网路攻击和资料外洩可能会产生严重的营运和合规性影响。此外，寻求管理和分析扩展的工业物联网部署产生的越来越多的数据的组织可能会遇到可扩展性问题，需要对数据存储和处理能力进行持续升级和投资。为了应对这些课题，技术提供者、行业利益相关者和监管机构必须共同努力开发强大、安全且可扩展的数据历史解决方案。

市场机会：

由于技术创新、行业特定应用和区域市场扩张，数据历史记录市场提供了巨大的成长机会。边缘运算、数位孪生和进阶数据分析等新兴趋势为数据历史解决方案提供了新的途径，以提供即时洞察、提高营运效率并支援数位转型计画。开发针对石油和天然气、发电和製药等行业的特定要求和课题量身定制的行业特定数据历史应用程序，可以提供竞争优势并满足利基市场需求。此外，在工业化、城市化和基础设施发展的推动下，新兴市场越来越多地采用数据历史解决方案，将为市场参与者创造新的成长机会。策略伙伴关係、合併和收购也使公司能够扩大其产品组合，增强其技术能力，并加速动态数据历史记录市场的市场渗透。

本报告解决的关键问题

  • 推动资料历史储存市场全球成长的因素有哪些？
  • 工业物联网和数据分析的进步如何改变数据历史解决方案的竞争格局？
  • 数据历史学家领域的市场参与者面临哪些主要课题和机会？
  • 数据历史软体和服务在哪些产业和地区最具成长潜力？
  • 领先公司采取哪些策略来维持市场竞争力并推动创新？

目录

第一章执行摘要

第二章市场概况

  • 市场范围/分类
  • 市场定义/范围/限制

第 3 章主要市场趋势

  • 影响市场的主要趋势
  • 产品创新/发展趋势

第4章价格分析

  • 平均价格：依解决方案
  • 依地区划分的价格明细

第五章全球数据历史库市场需求分析

  • 2019-2023年历史市值分析
  • 当前和未来市场价值预测，2024-2032
    • 同比增长趋势分析
    • 绝对量机会分析

第六章市场背景

  • 宏观经济因素
  • 预测变量 - 相关性和影响
  • 价值链
  • COVID-19 危机 – 对资料历史储存市场的影响评估
  • 市场动态

第七章全球资料历史储存市场分析：依解决方案

  • 简介/主要发现
  • 历史市场规模分析：依解决方案，2019-2023
  • 目前和未来的市场规模分析和预测：依解决方案，2024-2032
    • 基于云端的数据历史记录
    • 本地资料历史学家
  • 市场吸引力分析：依解决方案

第 8 章全球资料历史储存市场分析：依行业

  • 简介/主要发现
  • 历史市场规模分析：依产业，2019-2023
  • 当前和未来市场规模的分析和预测：依行业，2024-2032
    • 能源与公用事业
    • 药品
    • 纸浆
    • 化学品
    • 船舶
    • 数据中心
    • 金属和采矿
    • 其他
  • 市场吸引力分析：依产业

第九章全球资料历史储存市场分析：依地区

  • 介绍
  • 历史市场规模分析：依地区划分，2019-2023
  • 目前和未来市场规模的分析和预测：依地区划分，2024-2032
    • 北美
    • 拉丁美洲
    • 欧洲
    • 东亚
    • 南亚/太平洋
    • 中东和非洲 (MEA)
  • 市场吸引力分析：依地区

第10章北美数据历史市场分析

第十一章拉丁美洲数据历史记录市场分析

第十二章欧洲资料历史储存市场分析

第十三章南亚太资料历史记录市场分析

第14章东亚资料历史市场分析

第十五章中东和非洲数据历史学家市场分析

第 16 章依国家划分的资料历史储存市场分析

  • 美国数据史学家市场分析
  • 加拿大数据史学家市场分析
  • 墨西哥数据历史学家市场分析
  • 巴西数据史学家市场分析
  • 德国数据史学家市场分析
  • 义大利数据历史学家市场分析
  • 法国数据史学家市场分析
  • 英国数据历史学家市场分析
  • 西班牙数据历史学家市场分析
  • 俄罗斯数据历史学家市场分析
  • 中国数据历史市场分析
  • 日本数据史市场分析
  • 韩国数据历史市场分析
  • 印度数据史学家市场分析
  • 东协数据历史学家市场分析
  • 大洋洲数据历史学家市场分析
  • 土耳其数据历史学家市场分析
  • 南非数据历史学家市场分析

第17章市场结构分析

  • 市场分析：依公司层级
  • 主要参与者的市场占有率分析
  • 市场存在分析

第 18 章 竞争分析

  • 比赛仪表板
  • 竞争对手详情
    • 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.

第 19 章先决条件和使用的缩写词

第20章研究方法论

简介目录
Product Code: PMRREP24847

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)

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