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市場調查報告書
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1914544

工業雲市場－全球產業規模、佔有率、趨勢、機會與預測：按組件、類型、雲端類型、應用、最終用戶、地區和競爭格局分類，2021-2031年

Industrial Cloud Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented, By Component, By Type, By Cloud Type, By Application, 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

全球工業雲市場預計將從 2025 年的 710.5 億美元成長到 2031 年的 1,912.2 億美元，複合年成長率為 17.94%。

該市場由專門的雲端運算架構和服務組成，旨在簡化製造業、能源和物流等行業的資料管理。這些平台實現了資訊技術 (IT) 和操作技術(OT) 的整合，從而支援即時遠端監控、預測性維護和進階自動化等功能。推動這一市場成長的關鍵因素包括：提高營運效率的迫切需求、對可擴展基礎設施的需求（以管理不斷波動的數據量）以及減少傳統上用於維護本地硬體的資本支出所帶來的經濟效益。

市場概覽
預測期 2027-2031
市場規模：2025年 710.5億美元
市場規模：2031年 1912.2億美元
複合年成長率：2026-2031年 17.94%
成長最快的細分市場 解決方案
最大的市場 北美洲

然而，舊有系統整合難度高，手動流程數位化也面臨許多複雜性，仍是廣泛應用的一大障礙。許多工業企業在彌合傳統營運方式與現代雲端介面之間的差距時舉步維艱，而這項挑戰也減緩了數位轉型的步伐。美國全國製造商協會的數據凸顯了這種數位成熟度差距，該協會報告稱，到2024年，仍有70%的製造商將採用手動方式收集數據。這項統計數據表明，供應商必須解決這一重大差距，以促進更廣泛的市場擴張，並有效實現工業營運的現代化。

市場促進因素

人工智慧 (AI) 和機器學習 (ML) 的應用正成為全球工業雲市場的關鍵驅動力，從根本上改變了製造商管理資產最佳化的方式。透過利用雲端運算強大的運算能力，工業企業可以處理訓練預測性維護和自動化品管演算法所需的大量資料集——這些任務通常在本地伺服器上資源不足的情況下難以完成。這種技術融合能夠及早發現設備問題，最大限度地減少非計劃性停機時間，並延長設備使用壽命。產業對這些先進技術的投入也反映在近期的投資趨勢中。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》，85% 的製造商已經投資或計劃在今年投資人工智慧和機器學習，這表明他們高度依賴雲端基礎設施來支援這些運算工作負載。

同時，對即時數據分析和營運洞察日益成長的需求正在推動市場顯著成長。工業領導者越來越需要即時了解生產線和供應鏈的狀況，以便做出明智的決策，從而提高敏捷性和應對力。雲端平台提供了一個集中式架構，可以聚合來自不同來源的資料流，使相關人員能夠即時監控全球各地工廠的績效指標。這種向以數據為中心的營運模式的轉變也體現在預算規劃中：Rootstock Software 於 2024 年 4 月發布的《2024 年製造技術調查》發現，72% 的製造商正在增加軟體預算以支援數位轉型。此外，Zebra Technologies 於 2024 年 5 月進行的《2024 年製造願景調查》發現，54% 的製造企業領導者預計將增加在可視化技術方面的支出，以更好地監控運營，這凸顯了雲端連接的關鍵作用。

市場挑戰

舊有系統整合是全球工業雲端市場成長的一大障礙。工業設施通常依賴老舊的機械設備和專有控制通訊協定，這些設備和協議並非為現代連接或雲端整合而設計。實現這些根深蒂固的操作技術與雲端平台之間的互通性需要複雜的客製化介面，這將顯著增加實施成本和時間。因此，許多企業推遲雲端遷移，選擇維護那些能夠可靠地執行核心生產任務但缺乏關鍵資料便攜性的孤立系統。

這種抵觸情緒也因現有基礎設施蘊含的巨大經濟價值而進一步加劇。僅僅為了數位化相容性而更換功能完好的設備，往往被認為成本過高，且無法即時獲得投資回報，迫使企業優先考慮延長資產壽命而非進行現代化改造。 2024 年製造業聯盟的數據預測，價值約 2.65 兆美元的傳統工業資產將繼續運作，凸顯了巨額資本鎖定阻礙了數位化快速普及。非數位化設備的高昂沉沒成本直接限制了雲端解決方案的潛在市場，因為潛在買家會積極抵制淘汰仍在運作中的硬體以適應新的架構。

市場趨勢

將生成式人工智慧整合到工業工作流程中，其應用範圍已超越了標準的預測性維護，旨在增強人類的決策能力和創造性工作。生成式模型正被應用於可程式邏輯控制器 (PLC) 的程式碼自動產生、簡化迭代式產品設計流程以及為現場工作人員產生複雜的技術文件。這一趨勢滿足了提升員工技能和減輕工程師認知負荷的迫切需求，因為工程師需要管理日益複雜的操作技術。這一趨勢勢頭強勁：根據Honeywell2024 年 7 月發布的《工業人工智慧洞察調查》，94% 的受訪工業人工智慧領導者計劃擴大人工智慧的應用範圍，並將提高效率和生產力視為最有前景的益處。

同時，在環境影響揭露壓力日益增大的背景下，基於雲端的永續發展和ESG分析的採用正在重塑製造商的策略。工業雲正成為碳資料的中央儲存庫，使企業能夠細緻地追蹤分散供應鏈中的範圍1、2和3排放。從靜態電子表格到動態、審核的雲端系統的轉變，使得即時生命週期評估成為可能。然而，仍然存在顯著的技術差距，供應商正在積極解決這些問題。根據阿里雲2024年10月發布的《2024年科技驅動永續發展趨勢與指數》，雖然80%的受訪企業已設定永續發展目標，但仍有53%的企業依賴人工方法來衡量進展，這凸顯了對自動化、基於雲端的報告解決方案的迫切需求。

目錄

第1章概述

第2章調查方法

第3章執行摘要

第4章：客戶評價

第5章：全球工業雲市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 按組件（解決方案、服務）
    • 按類型（IaaS、PaaS、SaaS）
    • 按雲類型（公共雲端、私有雲端、混合雲端）
    • 依應用領域（監控與資料擷取系統 (SCADA)、分散式控制系統 (DCS)、製造執行系統 (MES)、人機介面 (HMI)、產品生命週期管理 (PLM)、其他）
    • 依最終用戶（石油天然氣、發電、化工、水和用水和污水處理、食品飲料、採礦和金屬、造紙和紙漿、製藥、其他）
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

第6章：北美工業雲端市場展望

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

7. 歐洲工業雲市場展望

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

8. 亞太地區工業雲市場展望

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

9. 中東和非洲工業雲市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美洲工業雲市場展望

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

第11章 市場動態

  • 促進要素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 最新進展

第13章：全球工業雲端市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的可能性
  • 供應商電力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

  • Siemens AG
  • Schneider Electric SE
  • Honeywell International Inc.
  • Rockwell Automation, Inc.
  • General Electric Company
  • Telit IOT Solutions, Inc.
  • Microsoft Corporation
  • PTC Inc.
  • Hitachi Data Systems Corporation
  • Advantech Co., Ltd.
  • IBM Corporation

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: 15167

The Global Industrial Cloud Market is projected to experience substantial growth, expanding from USD 71.05 Billion in 2025 to USD 191.22 Billion by 2031, representing a compound annual growth rate of 17.94%. This market is comprised of specialized cloud computing architectures and services tailored to streamline data management for industries such as manufacturing, energy, and logistics. These platforms enable the convergence of Information Technology and Operational Technology, unlocking capabilities like real-time remote monitoring, predictive maintenance, and advanced automation. Key drivers behind this expansion include the critical need for improved operational efficiency, the demand for scalable infrastructure to manage fluctuating data volumes, and the financial advantages gained by reducing capital expenditures previously required for maintaining on-premise hardware.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 71.05 Billion
Market Size 2031USD 191.22 Billion
CAGR 2026-203117.94%
Fastest Growing SegmentSolution
Largest MarketNorth America

However, widespread adoption is significantly hindered by the difficulty of integrating legacy systems and the complexity involved in digitizing manual processes. Many industrial organizations encounter obstacles in bridging the gap between traditional operational methods and modern cloud interfaces, a challenge that retards the pace of digital transformation. This disparity in digital maturity is highlighted by data from the National Association of Manufacturers; in 2024, 70% of manufacturers reported that they continued to collect data manually. This statistic emphasizes the substantial gap that vendors must address to facilitate broader market expansion and modernize industrial operations effectively.

Market Driver

The incorporation of Artificial Intelligence and Machine Learning acts as a primary catalyst for the Global Industrial Cloud Market, fundamentally transforming how manufacturers manage asset optimization. By utilizing the vast computing power of the cloud, industrial organizations can process the immense datasets necessary to train algorithms for predictive maintenance and automated quality control, tasks that are typically too resource-heavy for on-premise servers. This technological convergence enables the early detection of equipment issues, thereby minimizing unplanned downtime and extending the lifespan of machinery. The industry's commitment to these advanced technologies is reflected in recent investment patterns; according to the '9th Annual State of Smart Manufacturing Report' by Rockwell Automation in March 2024, 85% of manufacturers have either invested or plan to invest in AI and machine learning this year, indicating a heavy reliance on cloud infrastructure to support these computational workloads.

Simultaneously, the escalating demand for real-time data analytics and operational insights is driving significant market growth. Industrial leaders increasingly require immediate visibility into production lines and supply chains to make informed decisions that boost agility and responsiveness. Cloud platforms provide the essential centralized architecture to aggregate data streams from diverse sources, allowing stakeholders to monitor performance metrics instantly across global facilities. This shift toward data-centric operations is evident in budgetary planning; the '2024 State of Manufacturing Technology Survey' by Rootstock Software in April 2024 indicates that 72% of manufacturers are increasing their software budgets to support digital transformation. Furthermore, the '2024 Manufacturing Vision Study' by Zebra Technologies in May 2024 notes that 54% of manufacturing leaders expect to increase spending on visibility technology for better operational oversight, underscoring the vital role of cloud connectivity.

Market Challenge

The integration of legacy systems presents a significant barrier to the growth of the Global Industrial Cloud Market. Industrial facilities frequently depend on aging machinery and proprietary control protocols that were not designed for modern connectivity or cloud integration. Establishing interoperability between these entrenched operational technologies and cloud-based platforms necessitates complex, custom-built interfaces, which substantially increases both the cost and time required for deployment. Consequently, many organizations delay migrating to the cloud, choosing instead to maintain isolated systems that perform core production tasks reliably but lack essential data mobility.

This reluctance is further reinforced by the massive financial value tied to existing infrastructure. Replacing functional equipment simply for digital compatibility is often considered prohibitively expensive without an immediate return on investment, compelling companies to prioritize asset longevity over modernization. Data from the Manufacturers Alliance in 2024 indicates that legacy industrial assets valued at approximately $2.65 trillion remained in operation, highlighting the immense capital lock-in that restricts rapid digital adoption. This high sunk cost in non-digital machinery directly limits the addressable market for cloud solutions, as potential buyers actively resist discarding working hardware to accommodate new architectures.

Market Trends

The integration of Generative AI into industrial workflows is expanding beyond standard predictive maintenance to augment human decision-making and creative tasks. Generative models are being deployed to automate code generation for programmable logic controllers, streamline product design iterations, and synthesize complex technical documentation for frontline workers. This trend addresses the critical need to upskill workforces and reduce the cognitive burden on engineers managing increasingly complex operational technology. The momentum behind this adoption is significant; according to the 'Industrial AI Insights' study by Honeywell in July 2024, 94% of surveyed industrial AI leaders stated they have plans to expand their utilization of artificial intelligence, citing efficiency and productivity gains as the most promising benefits.

Concurrently, the implementation of cloud-based sustainability and ESG analytics is reshaping strategies as manufacturers face mounting pressure to disclose environmental impacts. Industrial clouds are becoming essential repositories for carbon data, enabling companies to track Scope 1, 2, and 3 emissions across fragmented supply chains with granular precision. This transition from static spreadsheets to dynamic, audit-ready cloud systems allows for real-time lifecycle assessments. However, a significant technological disconnect remains that vendors are actively addressing; according to Alibaba Cloud's 'Tech-Driven Sustainability Trends and Index 2024' from October 2024, while 80% of businesses surveyed have established sustainability targets, 53% continue to rely on manual methods for measuring their progress, underscoring the urgent demand for automated cloud-based reporting solutions.

Key Market Players

  • Siemens AG
  • Schneider Electric SE
  • Honeywell International Inc.
  • Rockwell Automation, Inc.
  • General Electric Company
  • Telit IOT Solutions, Inc.
  • Microsoft Corporation
  • PTC Inc.
  • Hitachi Data Systems Corporation
  • Advantech Co., Ltd.
  • IBM Corporation

Report Scope

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

Industrial Cloud Market, By Component

  • Solution
  • Service

Industrial Cloud Market, By Type

  • IaaS
  • PaaS
  • SaaS

Industrial Cloud Market, By Cloud Type

  • Public Cloud
  • Private Cloud
  • Hybrid Cloud

Industrial Cloud Market, By Application

  • Supervisory Control and Data Acquisition (SCADA)
  • Distributed Control System (DCS)
  • Manufacturing Execution System (MES)
  • Human Machine Interface (HMI)
  • Product Lifecycle Management (PLM)
  • Others

Industrial Cloud Market, By End User

  • Oil and Gas
  • Electric Power Generation
  • Chemicals
  • Water and Wastewater Management
  • Food and Beverages
  • Mining and Metal
  • Paper and Pulp
  • Pharmaceutical
  • Others

Industrial Cloud 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 Industrial Cloud Market.

Available Customizations:

Global Industrial Cloud 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 Industrial Cloud Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Component (Solution, Service)
    • 5.2.2. By Type (IaaS, PaaS, SaaS)
    • 5.2.3. By Cloud Type (Public Cloud, Private Cloud, Hybrid Cloud)
    • 5.2.4. By Application (Supervisory Control and Data Acquisition (SCADA), Distributed Control System (DCS), Manufacturing Execution System (MES), Human Machine Interface (HMI), Product Lifecycle Management (PLM), Others)
    • 5.2.5. By End User (Oil and Gas, Electric Power Generation, Chemicals, Water and Wastewater Management, Food and Beverages, Mining and Metal, Paper and Pulp, Pharmaceutical, Others)
    • 5.2.6. By Region
    • 5.2.7. By Company (2025)
  • 5.3. Market Map

6. North America Industrial Cloud 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 Type
    • 6.2.3. By Cloud Type
    • 6.2.4. By Application
    • 6.2.5. By End User
    • 6.2.6. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Industrial Cloud 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 Type
        • 6.3.1.2.3. By Cloud Type
        • 6.3.1.2.4. By Application
        • 6.3.1.2.5. By End User
    • 6.3.2. Canada Industrial Cloud 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 Type
        • 6.3.2.2.3. By Cloud Type
        • 6.3.2.2.4. By Application
        • 6.3.2.2.5. By End User
    • 6.3.3. Mexico Industrial Cloud 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 Type
        • 6.3.3.2.3. By Cloud Type
        • 6.3.3.2.4. By Application
        • 6.3.3.2.5. By End User

7. Europe Industrial Cloud 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 Type
    • 7.2.3. By Cloud Type
    • 7.2.4. By Application
    • 7.2.5. By End User
    • 7.2.6. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Industrial Cloud 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 Type
        • 7.3.1.2.3. By Cloud Type
        • 7.3.1.2.4. By Application
        • 7.3.1.2.5. By End User
    • 7.3.2. France Industrial Cloud 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 Type
        • 7.3.2.2.3. By Cloud Type
        • 7.3.2.2.4. By Application
        • 7.3.2.2.5. By End User
    • 7.3.3. United Kingdom Industrial Cloud 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 Type
        • 7.3.3.2.3. By Cloud Type
        • 7.3.3.2.4. By Application
        • 7.3.3.2.5. By End User
    • 7.3.4. Italy Industrial Cloud 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 Type
        • 7.3.4.2.3. By Cloud Type
        • 7.3.4.2.4. By Application
        • 7.3.4.2.5. By End User
    • 7.3.5. Spain Industrial Cloud 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 Type
        • 7.3.5.2.3. By Cloud Type
        • 7.3.5.2.4. By Application
        • 7.3.5.2.5. By End User

8. Asia Pacific Industrial Cloud 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 Type
    • 8.2.3. By Cloud Type
    • 8.2.4. By Application
    • 8.2.5. By End User
    • 8.2.6. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Industrial Cloud 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 Type
        • 8.3.1.2.3. By Cloud Type
        • 8.3.1.2.4. By Application
        • 8.3.1.2.5. By End User
    • 8.3.2. India Industrial Cloud 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 Type
        • 8.3.2.2.3. By Cloud Type
        • 8.3.2.2.4. By Application
        • 8.3.2.2.5. By End User
    • 8.3.3. Japan Industrial Cloud 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 Type
        • 8.3.3.2.3. By Cloud Type
        • 8.3.3.2.4. By Application
        • 8.3.3.2.5. By End User
    • 8.3.4. South Korea Industrial Cloud 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 Type
        • 8.3.4.2.3. By Cloud Type
        • 8.3.4.2.4. By Application
        • 8.3.4.2.5. By End User
    • 8.3.5. Australia Industrial Cloud 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 Type
        • 8.3.5.2.3. By Cloud Type
        • 8.3.5.2.4. By Application
        • 8.3.5.2.5. By End User

9. Middle East & Africa Industrial Cloud 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 Type
    • 9.2.3. By Cloud Type
    • 9.2.4. By Application
    • 9.2.5. By End User
    • 9.2.6. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Industrial Cloud 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 Type
        • 9.3.1.2.3. By Cloud Type
        • 9.3.1.2.4. By Application
        • 9.3.1.2.5. By End User
    • 9.3.2. UAE Industrial Cloud 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 Type
        • 9.3.2.2.3. By Cloud Type
        • 9.3.2.2.4. By Application
        • 9.3.2.2.5. By End User
    • 9.3.3. South Africa Industrial Cloud 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 Type
        • 9.3.3.2.3. By Cloud Type
        • 9.3.3.2.4. By Application
        • 9.3.3.2.5. By End User

10. South America Industrial Cloud 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 Type
    • 10.2.3. By Cloud Type
    • 10.2.4. By Application
    • 10.2.5. By End User
    • 10.2.6. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Industrial Cloud 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 Type
        • 10.3.1.2.3. By Cloud Type
        • 10.3.1.2.4. By Application
        • 10.3.1.2.5. By End User
    • 10.3.2. Colombia Industrial Cloud 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 Type
        • 10.3.2.2.3. By Cloud Type
        • 10.3.2.2.4. By Application
        • 10.3.2.2.5. By End User
    • 10.3.3. Argentina Industrial Cloud 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 Type
        • 10.3.3.2.3. By Cloud Type
        • 10.3.3.2.4. By Application
        • 10.3.3.2.5. 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 Industrial Cloud 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. Siemens AG
    • 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. Schneider Electric SE
  • 15.3. Honeywell International Inc.
  • 15.4. Rockwell Automation, Inc.
  • 15.5. General Electric Company
  • 15.6. Telit IOT Solutions, Inc.
  • 15.7. Microsoft Corporation
  • 15.8. PTC Inc.
  • 15.9. Hitachi Data Systems Corporation
  • 15.10. Advantech Co., Ltd.
  • 15.11. IBM Corporation

16. Strategic Recommendations

17. About Us & Disclaimer