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PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1529000

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PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1529000

Industrial Cloud Platform Market Size, By Deployment, By Type, By Component By Application, By End-user, Forecast 2024 - 2032

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PAGES: 210 Pages
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Industrial cloud platform market size is anticipated to witness over 17.5% CAGR between 2024 and 2032 propelled by the rising imperative for enhanced operational efficiency and flexibility in manufacturing and industrial processes. Lately, industrial cloud platforms are preferred as they offer scalable solutions that integrate data analytics, ML, and IoT capabilities, allowing businesses to optimize production, reduce downtime, and improve decision-making processes. For instance, in January 2024, Lenovo unveiled its hybrid cloud platform for AI by introducing new ThinkAgile hyper-converged solutions and ThinkSystem servers. These advancements helped to improve cloud deployment, hybrid connectivity, and AI capabilities by leveraging the latest Intel Xeon Scalable Processors.

The rise of Industry 4.0 initiatives worldwide is also driving the adoption of industrial cloud platforms. These platforms facilitate the seamless integration of automation and robotics across manufacturing lines, enabling predictive maintenance and real-time monitoring of equipment performance. Stringent regulatory requirements and the growing emphasis on cybersecurity are further pushing industries to invest in robust cloud solutions to ensure data security and compliance, favoring market growth.

The industrial cloud platform industry is divided into type, deployment, component, application, end-user, and region.

Based on type, the market size from the platform as a service (PaaS) segment is slated to witness significant growth during 2024-2032 due to its ability to streamline application development, deployment, and management processes within industrial settings. PaaS offerings provide a robust framework for developers and enterprises to build, customize, and scale applications without the complexity of managing underlying infrastructure. PaaS solutions also offer flexibility in scaling resources based on demand while enhancing operational efficiency and reducing costs associated with traditional IT infrastructure management.

The industrial cloud platform market from the predictive maintenance application segment is anticipated to witness substantial growth through 2032. This is favored by the strong need to leverage data analytics and IoT capabilities to optimize equipment maintenance schedules and reduce unplanned downtime. These cloud platforms enable real-time monitoring of machinery performance and health through sensors and data collection to facilitate early detection of potential faults or failures.

Asia Pacific industrial cloud platform industry is anticipated to grow at a significant pace over 2024-2032 attributed to rapid industrialization, increasing adoption of digital technologies, and government initiatives for supporting smart manufacturing. Countries like China, Japan, and South Korea are investing heavily in Industry 4.0 initiatives, which emphasize the integration of automation, IoT, and data analytics in manufacturing processes, adding to the regional market growth.

Product Code: 9450

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Market scope & definition
  • 1.2 Base estimates & calculations
  • 1.3 Forecast calculation
  • 1.4 Data sources
    • 1.4.1 Primary
    • 1.4.2 Secondary
      • 1.4.2.1 Paid sources
      • 1.4.2.2 Public sources

Chapter 2 Executive Summary

  • 2.1 Industry 360º synopsis, 2021 - 2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Vendor matrix
  • 3.3 Profit margin analysis
  • 3.4 Technology & innovation landscape
  • 3.5 Patent analysis
  • 3.6 Key news and initiatives
  • 3.7 Regulatory landscape
  • 3.8 Impact forces
    • 3.8.1 Growth drivers
      • 3.8.1.1 Digital Transformation Initiatives
      • 3.8.1.2 Growing IoT Adoption
      • 3.8.1.3 Need for Real-time Insights
      • 3.8.1.4 Scalability and Flexibility
      • 3.8.1.5 Cost Efficiency
    • 3.8.2 Industry pitfalls & challenges
      • 3.8.2.1 Security Concerns
      • 3.8.2.2 Integration Complexity
  • 3.9 Growth potential analysis
  • 3.10 Porter's analysis
    • 3.10.1 Supplier power
    • 3.10.2 Buyer power
    • 3.10.3 Threat of new entrants
    • 3.10.4 Threat of substitutes
    • 3.10.5 Industry rivalry
  • 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Deployment, 2021 - 2032 (USD Billion)

  • 5.1 Key trends
  • 5.2 Public cloud
  • 5.3 Private cloud
  • 5.4 Hybrid cloud

Chapter 6 Market Estimates & Forecast, By Type, 2021 - 2032 (USD Billion)

  • 6.1 Key trends
  • 6.2 Infrastructure as a Service (IaaS)
  • 6.3 Platform as a Service (PaaS)
  • 6.4 Software as a Service (SaaS)

Chapter 7 Market Estimates & Forecast, By Component, 2021 - 2032 (USD Billion)

  • 7.1 Key trends
  • 7.2 Solution
  • 7.3 Services

Chapter 8 Market Estimates & Forecast, By Application, 2021 - 2032 (USD Billion)

  • 8.1 Key trends
  • 8.2 Asset Performance Management (APM)
  • 8.3 Predictive maintenance
  • 8.4 Supply chain management
  • 8.5 Remote monitoring and control
  • 8.6 Quality management
  • 8.7 Others

Chapter 9 Market Estimates & Forecast, By End User, 2021 - 2032 (USD Billion)

  • 9.1 Key trends
  • 9.2 Manufacturing
  • 9.3 Energy and Utilities
  • 9.4 Transportation and Logistics
  • 9.5 Healthcare
  • 9.6 Aerospace and Defense
  • 9.7 Others

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2032 (USD Billion)

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 U.S.
    • 10.2.2 Canada
  • 10.3 Europe
    • 10.3.1 UK
    • 10.3.2 Germany
    • 10.3.3 France
    • 10.3.4 Italy
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 South Korea
    • 10.4.5 ANZ
    • 10.4.6 Rest of Asia Pacific
  • 10.5 Latin America
    • 10.5.1 Brazil
    • 10.5.2 Mexico
    • 10.5.3 Rest of Latin America
  • 10.6 MEA
    • 10.6.1 UAE
    • 10.6.2 South Africa
    • 10.6.3 Saudi Arabia
    • 10.6.4 Rest of MEA

Chapter 11 Company Profiles

  • 11.1 ABB Ltd
  • 11.2 Accenture PLC
  • 11.3 Amazon Web Services, Inc.
  • 11.4 Bosch.IO GmbH
  • 11.5 Cisco Systems, Inc.
  • 11.6 General Electric Company
  • 11.7 Google LLC
  • 11.8 Hewlett Packard Enterprise Development LP
  • 11.9 Hitachi Vantara Corporation
  • 11.10 Honeywell International Inc.
  • 11.11 IBM Corporation
  • 11.12 Microsoft Corporation
  • 11.13 Oracle Corporation
  • 11.14 PTC Inc.
  • 11.15 Rockwell Automation, Inc.
  • 11.16 SAP SE
  • 11.17 Schneider Electric SE
  • 11.18 Siemens AG
  • 11.19 Siemens Digital Industries Software
  • 11.20 VMware, Inc.
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Jeroen Van Heghe

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Christine Sirois

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