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市场调查报告书

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1529000

工业云平台市场规模，按部署，按类型，按组件，按应用，按最终用户，预测 2024 - 2032

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

出版日期: 2024年05月10日 | 出版商:

Global Market Insights Inc. | 英文 210 Pages | 商品交期: 2-3个工作天内

价格

简介目录

由于提高製造和工业流程营运效率和灵活性的迫切需要，预计 2024 年至 2032 年工业云平台市场规模的复合年增长率将超过 17.5%。最近，工业云端平台受到青睐，因为它们提供整合资料分析、机器学习和物联网功能的可扩展解决方案，使企业能够优化生产、减少停机时间并改善决策流程。例如，2024年1月，联想透过推出新的ThinkAgile超融合解决方案和ThinkSystem伺服器，推出了人工智慧混合云端平台。这些进步利用最新的英特尔至强可扩展处理器，有助于改善云端部署、混合连接和人工智慧功能。

全球工业 4.0 计画的兴起也推动了工业云端平台的采用。这些平台促进了跨生产线的自动化和机器人技术的无缝集成，从而实现了设备性能的预测性维护和即时监控。严格的监管要求和对网路安全的日益重视，进一步推动各行业投资强大的云端解决方案，以确保资料安全性和合规性，从而有利于市场成长。

工业云平台产业分为类型、部署、元件、应用、最终用户、地理。

根据类型，平台即服务 (PaaS) 领域的市场规模预计将在 2024 年至 2032 年期间显着成长，因为它能够简化工业环境中的应用程式开发、部署和管理流程。 PaaS 产品为开发人员和企业提供了一个强大的框架来建立、客製化和扩展应用程序，而无需管理底层基础设施的复杂性。 PaaS 解决方案还可以根据需求灵活地扩展资源，同时提高营运效率并降低与传统 IT 基础架构管理相关的成本。

预计到 2032 年，预测性维护应用领域的工业云端平台市场将资料成长。这些云端平台可以透过感测器和资料收集来即时监控机械性能和健康状况，以便及早发现潜在的故障或失效。

由于工业化的快速发展、数位技术的不断采用以及政府支持智慧製造的倡议，预计亚太地区工业云端平台产业将在 2024 年至 2032 年期间大幅成长。中国、日本和韩国等国家正在大力投资工业 4.0 计划，强调在製造过程中整合自动化、物联网和资料分析，从而促进区域市场的成长。

产业生态系统分析
供应商矩阵
利润率分析
技术与创新格局
专利分析
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 数位转型倡议
  - 不断成长的物联网采用率
  - 需要即时洞察
  - 可扩充性和灵活性
  - 成本效益
- 产业陷阱与挑战
  - 安全问题
  - 整合复杂性
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

介绍
公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按部署划分，2021 - 2032 年

主要趋势
公共云端
私有云端
混合云端

第 6 章：市场估计与预测：按类型，2021 - 2032

主要趋势
基础设施即服务 (IaaS)
平台即服务 (PaaS)
软体即服务 (SaaS)

第 7 章：市场估计与预测：按组成部分，2021 - 2032 年

主要趋势
解决方案
服务

第 8 章：市场估计与预测：依应用分类，2021 - 2032

主要趋势
资产绩效管理（APM）
预测性维护
供应链管理
远端监控
品质管理
其他的

第 9 章：市场估计与预测：按最终用户划分，2021 - 2032 年

主要趋势
製造业
能源和公用事业
运输与物流
卫生保健
航太和国防
其他的

第 10 章：市场估计与预测：按地区，2021 - 2032

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 义大利
- 西班牙
- 欧洲其他地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 亚太地区其他地区
拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地区
MEA
- 阿联酋
- 南非
- 沙乌地阿拉伯
- MEA 的其余部分

第 11 章：公司简介

ABB Ltd
Accenture PLC
Amazon Web Services, Inc.
Bosch.IO GmbH
Cisco Systems, Inc.
General Electric Company
Google LLC
Hewlett Packard Enterprise Development LP
Hitachi Vantara Corporation
Honeywell International Inc.
IBM Corporation
Microsoft Corporation
Oracle Corporation
PTC Inc.
Rockwell Automation, Inc.
SAP SE
Schneider Electric SE
Siemens AG
Siemens Digital Industries Software
VMware, Inc.

简介目录

Product Code: 9450

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.

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