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市場調查報告書
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1482426

資料歷史學家市場：依產品類型、最終用戶、地區 - 全球產業分析、規模、佔有率、成長、趨勢、預測，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個工作天內

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簡介目錄

本研究報告是 Persistence Market Research 的市場研究報告，提供了全球數據歷史記錄市場的詳細分析和預測。這份綜合報告提供了關鍵市場動態、成長動力、課題和新興趨勢的寶貴見解。它全面概述了工業自動化和軟體領域的數據歷史記錄領域，並提供了獨家數據和統計數據來預測 2024 年至 2032 年的市場成長軌跡。

重要見解

  • 數據歷史記錄市場規模（2024 年）：16 億美元
  • 預計市值（2032年）：16億美元
  • 全球市場成長率（複合年增長率，2024-2032）：5.8%

數據歷史學家市場 - 報告範圍：

資料歷史記錄市場包括收集、儲存和分析工業過程中的時間序列資料的軟體解決方案。數據歷史學家對於製造業、能源、石油和天然氣、製藥和公用事業等行業至關重要，使他們能夠監控和優化營運、確保合規性並改善決策。這些系統從感測器、控制系統和其他工業設備捕獲即時數據，並提供可用於性能分析、預測性維護和營運效率的歷史記錄。工業物聯網 (IIoT) 技術的日益普及、對增強數據分析能力的需求以及對提高營運可視性和控制的需求推動了市場成長。

市場成長動力：

全球數據歷史記錄市場受益於幾個關鍵的成長動力。工業物聯網技術在各行業的快速採用推動了對先進數據歷史解決方案的需求，以管理和分析互聯設備和系統產生的大量時間序列數據。此外，人們越來越關注優化工業運營、減少停機時間和提高生產率，這增加了對能夠提供可行見解並支援預測性維護策略的數據歷史軟體的需求。此外，製藥、食品和飲料以及能源等行業對數據記錄、可追溯性和報告的監管要求越來越嚴格，因此需要實施可靠的數據歷史系統。此外，雲端運算、大數據分析和人工智慧 (AI) 的進步使得開發更具可擴展性、高效和智慧的數據歷史解決方案成為可能，進一步推動市場成長。

市場限制因素：

儘管成長前景廣闊，但數據歷史記錄市場面臨數據整合、網路安全和可擴展性方面的課題。將資料歷史軟體與現有工業控制系統、企業資源規劃 (ERP) 系統和其他 IT 基礎架構整合非常複雜，需要投入大量時間和資源。此外，確保敏感工業資料的安全性和完整性是一個關鍵問題，因為網路攻擊和資料外洩可能會產生嚴重的營運和合規性影響。此外，尋求管理和分析擴展的工業物聯網部署產生的越來越多的數據的組織可能會遇到可擴展性問題，需要對數據存儲和處理能力進行持續升級和投資。為了應對這些課題，技術提供者、行業利益相關者和監管機構必須共同努力開發強大、安全且可擴展的數據歷史解決方案。

市場機會：

由於技術創新、行業特定應用和區域市場擴張，數據歷史記錄市場提供了巨大的成長機會。邊緣運算、數位孿生和進階數據分析等新興趨勢為數據歷史解決方案提供了新的途徑，以提供即時洞察、提高營運效率並支援數位轉型計畫。開發針對石油和天然氣、發電和製藥等行業的特定要求和課題量身定制的行業特定數據歷史應用程序，可以提供競爭優勢並滿足利基市場需求。此外，在工業化、城市化和基礎設施發展的推動下，新興市場越來越多地採用數據歷史解決方案，將為市場參與者創造新的成長機會。策略夥伴關係、合併和收購也使公司能夠擴大其產品組合，增強其技術能力，並加速動態數據歷史記錄市場的市場滲透。

本報告解決的關鍵問題

  • 推動資料歷史儲存市場全球成長的因素有哪些？
  • 工業物聯網和數據分析的進步如何改變數據歷史解決方案的競爭格局？
  • 數據歷史學家領域的市場參與者面臨哪些主要課題和機會？
  • 數據歷史軟體和服務在哪些產業和地區最具成長潛力？
  • 領先公司採取哪些策略來維持市場競爭力並推動創新？

目錄

第一章執行摘要

第二章市場概況

  • 市場範圍/分類
  • 市場定義/範圍/限制

第 3 章主要市場趨勢

  • 影響市場的主要趨勢
  • 產品創新/發展趨勢

第4章價格分析

  • 平均價格：依解決方案
  • 依地區劃分的價格明細

第五章全球數據歷史庫市場需求分析

  • 2019-2023年歷史市值分析
  • 當前和未來市場價值預測，2024-2032
    • 同比增長趨勢分析
    • 絕對量機會分析

第六章市場背景

  • 宏觀經濟因素
  • 預測變量 - 相關性和影響
  • 價值鏈
  • COVID-19 危機 – 對資料歷史儲存市場的影響評估
  • 市場動態

第七章全球資料歷史儲存市場分析：依解決方案

  • 簡介/主要發現
  • 歷史市場規模分析：依解決方案，2019-2023
  • 目前和未來的市場規模分析和預測：依解決方案，2024-2032
    • 基於雲端的數據歷史記錄
    • 本地資料歷史學家
  • 市場吸引力分析：依解決方案

第 8 章全球資料歷史儲存市場分析：依行業

  • 簡介/主要發現
  • 歷史市場規模分析：依產業，2019-2023
  • 當前和未來市場規模的分析和預測：依行業，2024-2032
    • 能源與公用事業
    • 藥品
    • 紙漿
    • 化學品
    • 船舶
    • 數據中心
    • 金屬和採礦
    • 其他
  • 市場吸引力分析：依產業

第九章全球資料歷史儲存市場分析：依地區

  • 介紹
  • 歷史市場規模分析：依地區劃分，2019-2023
  • 目前和未來市場規模的分析和預測：依地區劃分，2024-2032
    • 北美
    • 拉丁美洲
    • 歐洲
    • 東亞
    • 南亞/太平洋
    • 中東和非洲 (MEA)
  • 市場吸引力分析：依地區

第10章北美數據歷史市場分析

第十一章拉丁美洲數據歷史記錄市場分析

第十二章歐洲資料歷史儲存市場分析

第十三章南亞太資料歷史記錄市場分析

第14章東亞資料歷史市場分析

第十五章中東和非洲數據歷史學家市場分析

第 16 章依國家劃分的資料歷史儲存市場分析

  • 美國數據史學家市場分析
  • 加拿大數據史學家市場分析
  • 墨西哥數據歷史學家市場分析
  • 巴西數據史學家市場分析
  • 德國數據史學家市場分析
  • 義大利數據歷史學家市場分析
  • 法國數據史學家市場分析
  • 英國數據歷史學家市場分析
  • 西班牙數據歷史學家市場分析
  • 俄羅斯數據歷史學家市場分析
  • 中國數據歷史市場分析
  • 日本數據史市場分析
  • 韓國數據歷史市場分析
  • 印度數據史學家市場分析
  • 東協數據歷史學家市場分析
  • 大洋洲數據歷史學家市場分析
  • 土耳其數據歷史學家市場分析
  • 南非數據歷史學家市場分析

第17章市場結構分析

  • 市場分析：依公司層級
  • 主要參與者的市場佔有率分析
  • 市場存在分析

第 18 章 競爭分析

  • 比賽儀表板
  • 競爭對手詳情
    • 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 章先決條件和使用的縮寫詞

第20章研究方法論

簡介目錄
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