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市場調查報告書
商品編碼
1967770

數據歷史資料庫市場 - 全球產業規模、佔有率、趨勢、機會、預測：按組件、部署模式、最終用戶、地區和競爭格局分類，2021-2031 年

Data Historian Market - Global Industry Size, Share, Trends, Opportunity, and Forecast Segmented By Component, By Deployment Mode, By End-User, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 181 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球數據歷史資料庫市場預計將從 2025 年的 21.3 億美元成長到 2031 年的 32.8 億美元，複合年成長率為 7.46%。

全球數據歷史資料庫被定義為一種專業的工業軟體，旨在收集、壓縮和存檔來自製程控制系統的高精度時間序列數據，以便後續進行分析和搜尋。市場成長的主要驅動力是日益成長的營運效率需求以及滿足監管要求所需的詳細數據可追溯性。這些根本促進因素與技術趨勢截然不同。儘管技術趨勢可能會影響向雲端架構的轉變，但主要促進因素源自於最佳化資產利用率和提高生產效率的需求。為了強調這一需求，美國全國製造商協會 (NAM) 在 2024 年指出，44% 的製造業領導者在過去兩年中至少將其資料收集量增加了一倍，這凸顯了強大的歷史資料管理工具的緊迫性。

市場概覽
預測期 2027-2031
市場規模：2025年 21.3億美元
市場規模：2031年 32.8億美元
複合年成長率：2026-2031年 7.46%
成長最快的細分市場 軟體
最大的市場 北美洲

然而，這種成長軌跡面臨著諸多挑戰，主要在於如何將現代歷史資料管理軟體與傳統操作技術進行複雜的整合。許多工業設施仍然依賴缺乏標準化通訊協定的過時控制系統，這使得整合資料歷史管理平台的順利部署不僅在技術上極具挑戰性，而且成本極其高昂。這種互通性問題是一大障礙，常常導致部署計劃延期，並限制了資料管理舉措在不同製造環境中的快速擴充性。

市場促進因素

工業4.0和工業IoT（IIoT）生態系統的快速發展正在從根本上改變市場格局。同時，時間序列資料以前所未有的速度激增，對強大的資料歸檔和搜尋能力提出了更高的要求。隨著製造商在其生產設施中部署智慧感測器，產生的大量數據需要進行歷史分析，以訓練旨在最佳化流程的高階人工智慧（AI）和機器學習模型。資料收集與智慧自動化之間的這種相互依存關係正在推動市場快速成長，並將歷史資料庫定位為演算法訓練的關鍵儲存庫。根據羅克韋爾自動化於2024年3月發布的第九份年度智慧製造報告，83%的製造商計劃在一年內將生成式人工智慧整合到其營運中，而這項舉措明確要求現代歷史資料庫提供高保真數據儲存能力。

此外，隨著工業領域為減輕運作造成的經濟損失而採取的措施不斷推進，預測性維護和資產性能管理的日益普及正在加速市場需求。透過利用歷史流程數據，操作人員可以偵測異常模式，並在設備故障升級為代價高昂的停機之前加以預防。這種轉變帶來了顯著的經濟效益。根據西門子2024年1月發布的報告《2024年停機的真實成本》，計劃外停機每年給《財富》世界500強製造商造成約1.4兆美元的損失。因此，數據歷史記錄器正從單純的被動儲存系統轉變為主動風險管理和成本降低的關鍵工具。這一趨勢與更廣泛的現代化舉措相契合。斑馬技術公司2024年的報告顯示，92%的製造業企業領導者正致力於數位轉型，以確保永續的競爭力。

市場挑戰

市場成長的一大障礙是現代資料歷史軟體與傳統操作技術(OT) 之間的互通性差距。儘管歷史平台依賴標準化的高頻資料擷取，但許多工業場所仍使用過時的控制系統，這些系統採用專有或傳統的通訊協定。這種技術不匹配迫使企業投資昂貴的客製化整合層和中介軟體，而不是實施無縫、現成的解決方案。因此，連接這些孤立的數據孤島所需的資金和時間投入往往超過軟體成本，從而降低了投資回報率，並減緩了製造商的數位轉型進程。

這種結構柔軟性的缺失極大地限制了歷史資料解決方案的潛在市場。根據世界製造業基金會2024年的報告，全球約52%的工廠仍依賴缺乏與現代數位框架原生連結的傳統自動化系統。這種對不相容基礎設施的普遍依賴造成了嚴重的瓶頸，使得供應商無法在不預先進行複雜的硬體現代化改造的情況下擴展企業級部署。由於無法無縫存取這些資產中的數據，儘管對分析的需求迫切，但部署往往僅限於新的生產線，最終減緩了整體市場成長。

市場趨勢

邊緣運算在分散式資料處理領域的應用正成為結構轉型的重要基石，其驅動力源自於現代工廠對龐大頻寬需求的迫切需求。製造商不再將所有原始資料傳送到集中式歷史資料庫，而是在資料來源處理，過濾掉噪聲，僅保留關鍵事件。這種分散式架構降低了延遲和儲存成本，同時確保了高精度資料可用於即時本地決策。諾基亞於2024年6月發布的《2024年工業數位化報告》顯示，39%使用專用無線網路的公司已經部署了本地邊緣運算技術，另有52%的公司計劃這樣做，這表明處理工作負載正迅速向工業資產轉移。

同時，市場正經歷著向訂閱和SaaS經營模式的明顯轉變，取代了需要大量前期投資的永久授權模式。這種轉變使工業企業能夠累計資料管理視為營運支出，並能夠根據生產需求靈活調整歷史資料庫容量，而無需依賴特定的基礎設施。對於供應商而言，這種方式確保了穩定的收入來源，並簡化了持續的軟體更新，從而確保了安全措施和功能始終保持最新狀態。這一行業趨勢已體現在關鍵的行業指標中。例如，PTC在2024年11月發布的「2024會計年度第四季及全年業績報告」中指出，其全年收入的93%將來自經常性收入，這凸顯了工業軟體領域對以訂閱為中心的模式的壓倒性偏好。

目錄

第1章概述

第2章：調查方法

第3章執行摘要

第4章：客戶心聲

第5章：全球數據歷史資料庫市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 按組件（軟體、服務）
    • 依部署方式（本機部署、雲端部署）
    • 按最終用戶分類（資料中心、石油和天然氣、造紙和紙漿、水資源管理等）
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

第6章：北美數據歷史資料庫市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國別分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲數據歷史資料庫市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國別分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太數據歷史資料庫市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國別分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：中東和非洲資料歷史資料庫市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東與非洲：國別分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美洲資料歷史資料庫市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國別分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章 市場動態

  • 促進因素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 近期趨勢

第13章：全球資料歷史資料庫市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的潛力
  • 供應商的議價能力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

  • General Electric Company
  • Siemens AG
  • ABB Group
  • Honeywell International Inc.
  • Emerson Electric Co.
  • AVEVA Group plc
  • Rockwell Automation Inc.
  • Yokogawa Electric Corporation
  • Inductive Automation LLC
  • Canary Labs Inc.

第16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
Product Code: 24951

The Global Data Historian Market is projected to expand from a valuation of USD 2.13 Billion in 2025 to USD 3.28 Billion by 2031, reflecting a CAGR of 7.46%. Defined as specialized industrial software, a Global Data Historian is engineered to capture, compress, and archive high-fidelity time-series data from process control systems for later analysis and retrieval. The market's momentum is largely driven by the escalating need for operational efficiency and the essential requirement for detailed data traceability to satisfy regulatory mandates. These foundational drivers differ from technological trends; although trends might influence the move toward cloud architectures, the primary drivers are grounded in the necessity to optimize asset usage and production yield. Highlighting this need, the National Association of Manufacturers noted in 2024 that 44% of manufacturing leaders observed their data collection volumes had at least doubled over the previous two years, emphasizing the pressing need for powerful historiography tools.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 2.13 Billion
Market Size 2031USD 3.28 Billion
CAGR 2026-20317.46%
Fastest Growing SegmentSoftware
Largest MarketNorth America

However, this growth trajectory faces a major obstacle involving the intricate integration of contemporary historian software with legacy operational technologies. A significant number of industrial sites still depend on obsolete control systems that lack standardized communication protocols, rendering the smooth rollout of unified data historian platforms both technically challenging and prohibitively expensive. This issue of interoperability constitutes a considerable hurdle, often delaying implementation schedules and limiting the rapid scalability of data management initiatives across varied manufacturing settings.

Market Driver

The market is being fundamentally transformed by the swift expansion of Industry 4.0 and Industrial IoT (IIoT) ecosystems, which are generating an unparalleled surge in time-series data demanding strong archival and retrieval functions. With manufacturers installing smart sensors throughout production facilities, the ensuing massive volume of data must be historicized to facilitate the training of Advanced Artificial Intelligence and Machine Learning models aimed at process optimization. This interdependent relationship between data gathering and intelligent automation acts as a key growth catalyst, positioning the historian as the essential repository for algorithm training. As reported by Rockwell Automation in their '9th Annual State of Smart Manufacturing Report' from March 2024, 83% of manufacturers expect to integrate Generative AI into their operations within the year, a movement that explicitly requires the high-fidelity data storage capabilities offered by modern historians.

Demand is further intensified by the rising adoption of Predictive Maintenance and Asset Performance Management, as industrial entities strive to reduce the financial consequences of operational breakdowns. By utilizing historical process data, operators are able to detect deviation patterns and prevent equipment failures before they develop into expensive shutdowns. The financial incentives for this shift are substantial; Siemens revealed in its January 2024 report, 'The True Cost of Downtime 2024', that unplanned downtime inflicts an annual cost of roughly $1.4 trillion on Fortune Global 500 manufacturers. As a result, the data historian is transitioning from a mere passive storage system into a vital instrument for proactive risk management and cost prevention. This trend corresponds with wider modernization initiatives, evidenced by Zebra Technologies reporting in 2024 that 92% of manufacturing leaders are now focusing on digital transformation to secure enduring competitiveness.

Market Challenge

A crucial hindrance to market growth is the interoperability gap existing between contemporary data historian software and legacy operational technology. Although historian platforms depend on standardized high-frequency data ingestion, numerous industrial sites are still bound to outdated control systems that utilize proprietary or obsolete communication protocols. This technological mismatch compels organizations to invest in costly, bespoke integration layers or middleware instead of implementing smooth, off-the-shelf solutions. As a result, the financial and time resources needed to connect these isolated data silos frequently surpass the software costs, diminishing the return on investment and leading manufacturers to delay their digital transformation efforts.

This inherent structural inflexibility significantly constrains the potential market for historian solutions. In 2024, the World Manufacturing Foundation reported that approximately 52% of factories worldwide still depended on legacy automation systems devoid of native connectivity to modern digital frameworks. Such extensive reliance on incompatible infrastructure forms a serious bottleneck, preventing vendors from scaling deployments across enterprises without first undertaking complicated hardware modernization tasks. Because data cannot be seamlessly accessed from these assets, adoption is often confined to newer production lines despite the pressing need for analytics, which ultimately slows the overall growth pace of the market.

Market Trends

The implementation of Edge Computing for decentralized data processing is developing into a pivotal structural change, motivated by the necessity to handle the enormous bandwidth demands of modern factories. Instead of sending every raw data point to a centralized historian, manufacturers are now processing data at the source to filter out noise and preserve only essential events. This decentralized architecture lowers latency and storage expenses while ensuring high-fidelity data remains accessible for instant local decision-making. Support for this method is strong; Nokia's '2024 Industrial Digitalization Report' from June 2024 indicates that 39% of enterprises utilizing private wireless networks have already installed on-premise edge technology, and another 52% intend to follow suit, underscoring the swift movement of processing workloads toward industrial assets.

Concurrently, the market is experiencing a definitive shift toward Subscription-Based and SaaS business models, superseding perpetual licensing frameworks that require significant upfront capital. This transition enables industrial firms to classify data management as an operating expense, providing the agility to adjust historian capacity according to production requirements without being locked into specific infrastructure. For vendors, this approach secures a consistent revenue flow and simplifies continuous software updates, ensuring security measures and features remain up to date. This sector-wide trend is illustrated by key industry figures; for instance, PTC reported in November 2024, within its 'Fourth Fiscal Quarter and Full Fiscal Year 2024 Results', that 93% of its total fiscal year revenue was recurring, highlighting the dominant preference for subscription-focused models in the industrial software domain.

Key Market Players

  • General Electric Company
  • Siemens AG
  • ABB Group
  • Honeywell International Inc.
  • Emerson Electric Co.
  • AVEVA Group plc
  • Rockwell Automation Inc.
  • Yokogawa Electric Corporation
  • Inductive Automation LLC
  • Canary Labs Inc.

Report Scope

In this report, the Global Data Historian Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Data Historian Market, By Component

  • Software
  • Services

Data Historian Market, By Deployment Mode

  • On-Premise
  • Cloud

Data Historian Market, By End-User

  • Data Centers
  • Oil & Gas
  • Paper & Pulp
  • Water Management
  • Others

Data Historian Market, By Region

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Data Historian Market.

Available Customizations:

Global Data Historian Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Data Historian Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Component (Software, Services)
    • 5.2.2. By Deployment Mode (On-Premise, Cloud)
    • 5.2.3. By End-User (Data Centers, Oil & Gas, Paper & Pulp, Water Management, Others)
    • 5.2.4. By Region
    • 5.2.5. By Company (2025)
  • 5.3. Market Map

6. North America Data Historian Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component
    • 6.2.2. By Deployment Mode
    • 6.2.3. By End-User
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Data Historian Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Component
        • 6.3.1.2.2. By Deployment Mode
        • 6.3.1.2.3. By End-User
    • 6.3.2. Canada Data Historian Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Component
        • 6.3.2.2.2. By Deployment Mode
        • 6.3.2.2.3. By End-User
    • 6.3.3. Mexico Data Historian Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Component
        • 6.3.3.2.2. By Deployment Mode
        • 6.3.3.2.3. By End-User

7. Europe Data Historian Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Deployment Mode
    • 7.2.3. By End-User
    • 7.2.4. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Data Historian Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Component
        • 7.3.1.2.2. By Deployment Mode
        • 7.3.1.2.3. By End-User
    • 7.3.2. France Data Historian Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Component
        • 7.3.2.2.2. By Deployment Mode
        • 7.3.2.2.3. By End-User
    • 7.3.3. United Kingdom Data Historian Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Component
        • 7.3.3.2.2. By Deployment Mode
        • 7.3.3.2.3. By End-User
    • 7.3.4. Italy Data Historian Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Component
        • 7.3.4.2.2. By Deployment Mode
        • 7.3.4.2.3. By End-User
    • 7.3.5. Spain Data Historian Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Component
        • 7.3.5.2.2. By Deployment Mode
        • 7.3.5.2.3. By End-User

8. Asia Pacific Data Historian Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Deployment Mode
    • 8.2.3. By End-User
    • 8.2.4. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Data Historian Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Component
        • 8.3.1.2.2. By Deployment Mode
        • 8.3.1.2.3. By End-User
    • 8.3.2. India Data Historian Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Component
        • 8.3.2.2.2. By Deployment Mode
        • 8.3.2.2.3. By End-User
    • 8.3.3. Japan Data Historian Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Component
        • 8.3.3.2.2. By Deployment Mode
        • 8.3.3.2.3. By End-User
    • 8.3.4. South Korea Data Historian Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Component
        • 8.3.4.2.2. By Deployment Mode
        • 8.3.4.2.3. By End-User
    • 8.3.5. Australia Data Historian Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Component
        • 8.3.5.2.2. By Deployment Mode
        • 8.3.5.2.3. By End-User

9. Middle East & Africa Data Historian Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Deployment Mode
    • 9.2.3. By End-User
    • 9.2.4. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Data Historian Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Component
        • 9.3.1.2.2. By Deployment Mode
        • 9.3.1.2.3. By End-User
    • 9.3.2. UAE Data Historian Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Component
        • 9.3.2.2.2. By Deployment Mode
        • 9.3.2.2.3. By End-User
    • 9.3.3. South Africa Data Historian Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Component
        • 9.3.3.2.2. By Deployment Mode
        • 9.3.3.2.3. By End-User

10. South America Data Historian Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Deployment Mode
    • 10.2.3. By End-User
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Data Historian Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Component
        • 10.3.1.2.2. By Deployment Mode
        • 10.3.1.2.3. By End-User
    • 10.3.2. Colombia Data Historian Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Component
        • 10.3.2.2.2. By Deployment Mode
        • 10.3.2.2.3. By End-User
    • 10.3.3. Argentina Data Historian Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Component
        • 10.3.3.2.2. By Deployment Mode
        • 10.3.3.2.3. By End-User

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Data Historian Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. General Electric Company
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. Siemens AG
  • 15.3. ABB Group
  • 15.4. Honeywell International Inc.
  • 15.5. Emerson Electric Co.
  • 15.6. AVEVA Group plc
  • 15.7. Rockwell Automation Inc.
  • 15.8. Yokogawa Electric Corporation
  • 15.9. Inductive Automation LLC
  • 15.10. Canary Labs Inc.

16. Strategic Recommendations

17. About Us & Disclaimer