工业云市场－全球产业规模、份额、趋势、机会与预测：按组件、类型、云端类型、应用、最终用户、地区和竞争格局划分，2021-2031年

全球工业云市场预计将从 2025 年的 710.5 亿美元成长到 2031 年的 1,912.2 亿美元，复合年增长率为 17.94%。

该市场由专门的云端运算架构和服务组成，旨在简化製造业、能源和物流等行业的资料管理。这些平台实现了资讯技术 (IT) 和操作技术(OT) 的整合，从而支援即时远端监控、预测性维护和进阶自动化等功能。推动这一市场成长的关键因素包括：提高营运效率的迫切需求、对可扩展基础设施的需求（以管理不断波动的数据量）以及减少传统上用于维护本地硬体的资本支出所带来的经济效益。

然而，旧有系统整合难度高，手动流程数位化也面临许多复杂性，仍是广泛应用的一大障碍。许多工业企业在弥合传统营运方式与现代云端介面之间的差距时举步维艰，而这项挑战也减缓了数位转型的步伐。美国全国製造商协会的数据凸显了这种数位成熟度差距，该协会报告称，到2024年，仍有70%的製造商将采用手动方式收集数据。这项统计数据表明，供应商必须解决这一重大差距，以促进更广泛的市场扩张，并有效实现工业营运的现代化。

市场驱动因素

人工智慧 (AI) 和机器学习 (ML) 的应用正成为全球工业云市场的关键驱动力，从根本上改变了製造商管理资产优化的方式。透过利用云端运算强大的运算能力，工业企业可以处理训练预测性维护和自动化品管演算法所需的大量资料集——这些任务通常在本地伺服器上资源不足的情况下难以完成。这种技术融合能够及早发现设备问题，最大限度地减少非计划性停机时间，并延长设备使用寿命。产业对这些先进技术的投入也反映在近期的投资趋势中。根据罗克韦尔自动化于 2024 年 3 月发布的《第九份年度智慧製造报告》，85% 的製造商已经投资或计划在今年投资人工智慧和机器学习，这表明他们高度依赖云端基础设施来支援这些运算工作负载。

同时，对即时数据分析和营运洞察日益增长的需求正在推动市场显着成长。工业领导者越来越需要即时了解生产线和供应链的状况，以便做出明智的决策，从而提高敏捷性和应对力。云端平台提供了一个集中式架构，可以聚合来自不同来源的资料流，使相关人员能够即时监控全球各地工厂的绩效指标。这种向以数据为中心的营运模式的转变也体现在预算规划中：Rootstock Software 于 2024 年 4 月发布的《2024 年製造技术调查》发现，72% 的製造商正在增加软体预算以支援数位转型。此外，Zebra Technologies 于 2024 年 5 月进行的《2024 年製造愿景调查》发现，54% 的製造企业领导者预计将增加在可视化技术方面的支出，以更好地监控运营，这凸显了云端连接的关键作用。

市场挑战

旧有系统整合是全球工业云端市场成长的一大障碍。工业设施通常依赖老旧的机械设备和专有控制通讯协定，这些设备和协议并非为现代连接或云端整合而设计。实现这些根深蒂固的操作技术与云端平台之间的互通性需要复杂的客製化接口，这将显着增加实施成本和时间。因此，许多企业推迟云端迁移，选择维护那些能够可靠地执行核心生产任务但缺乏关键资料便携性的孤立系统。

这种抵触情绪也因现有基础设施蕴含的巨大经济价值而进一步加剧。仅仅为了数位化相容性而更换功能完好的设备，往往被认为成本过高，且无法即时获得投资回报，迫使企业优先考虑延长资产寿命而非进行现代化改造。 2024 年製造业联盟的数据预测，价值约 2.65 兆美元的传统工业资产将继续运作，凸显了巨额资本锁定阻碍了数位化快速普及。非数位化设备的高昂沉没成本直接限制了云端解决方案的潜在市场，因为潜在买家会积极抵制淘汰仍在运作中的硬体以适应新的架构。

市场趋势

将生成式人工智慧整合到工业工作流程中，其应用范围已超越了标准的预测性维护，旨在增强人类的决策能力和创造性工作。生成式模型正被应用于可程式逻辑控制器 (PLC) 的程式码自动产生、简化迭代式产品设计流程以及为现场工作人员产生复杂的技术文件。这一趋势满足了提升员工技能和减轻工程师认知负荷的迫切需求，因为工程师需要管理日益复杂的操作技术。这一趋势势头强劲：根据Honeywell2024 年 7 月发布的《工业人工智慧洞察调查》，94% 的受访工业人工智慧领导者计划扩大人工智慧的应用范围，并将提高效率和生产力视为最有前景的益处。

同时，在环境影响揭露压力日益增大的背景下，基于云端的永续发展和ESG分析的采用正在重塑製造商的策略。工业云正成为碳资料的中央储存库，使企业能够细緻地追踪分散供应链中的范围1、2和3排放。从静态电子表格到动态、审核的云端系统的转变，使得即时生命週期评估成为可能。然而，仍然存在显着的技术差距，供应商正在积极解决这些问题。根据阿里云2024年10月发布的《2024年科技驱动永续发展趋势与指数》，虽然80%的受访企业已设定永续发展目标，但仍有53%的企业依赖人工方法来衡量进展，这凸显了对自动化、基于云端的报告解决方案的迫切需求。

目录

第一章概述

第二章调查方法

第三章执行摘要

第四章：客户评价

第五章：全球工业云市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 按组件（解决方案、服务）
  • 按类型（IaaS、PaaS、SaaS）
  • 按云类型（公共云端、私有云端、混合云端）
  • 依应用领域（监控与资料撷取系统 (SCADA)、分散式控制系统 (DCS)、製造执行系统 (MES)、人机介面 (HMI)、产品生命週期管理 (PLM)、其他）
  • 依最终用户（石油天然气、发电、化工、水和用水和污水处理、食品饮料、采矿和金属、造纸和纸浆、製药、其他）
  • 按地区
  • 按公司（2025 年）
• 市场地图

第六章：北美工业云端市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国家分析
  • 美国
  • 加拿大
  • 墨西哥

7. 欧洲工业云市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

8. 亚太地区工业云市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

9. 中东和非洲工业云市场展望

• 市场规模及预测
• 市占率及预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 南非

第十章：南美洲工业云市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章 市场动态

• 司机
• 任务

第十二章 市场趋势与发展

• 併购
• 产品发布
• 最新进展

第十三章：全球工业云端市场：SWOT分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的可能性
• 供应商电力
• 顾客权力
• 替代品的威胁

第十五章 竞争格局

• 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

第十六章 策略建议

第十七章：关于研究公司及免责声明

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.

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