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市場調查報告書

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1529000

工業雲平台市場規模，按部署，按類型，按組件，按應用，按最終用戶，預測 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個工作天內

價格

簡介目錄

由於提高製造和工業流程營運效率和靈活性的迫切需要，預計 2024 年至 2032 年工業雲平台市場規模的複合年成長率將超過 17.5%。最近，工業雲端平台受到青睞，因為它們提供整合資料分析、機器學習和物聯網功能的可擴展解決方案，使企業能夠最佳化生產、減少停機時間並改善決策流程。例如，2024年1月，聯想透過推出新的ThinkAgile超融合解決方案和ThinkSystem伺服器，推出了人工智慧混合雲端平台。這些進步利用最新的英特爾至強可擴展處理器，有助於改善雲端部署、混合連接和人工智慧功能。

全球工業 4.0 計畫的興起也推動了工業雲端平台的採用。這些平台促進了跨生產線的自動化和機器人技術的無縫整合，從而實現了設備性能的預測性維護和即時監控。嚴格的監管要求和對網路安全的日益重視，進一步推動各行業投資強大的雲端解決方案，以確保資料安全性和合規性，從而有利於市場成長。

工業雲平台產業分為類型、部署、元件、應用、最終用戶、地理。

根據類型，平台即服務 (PaaS) 領域的市場規模預計將在 2024 年至 2032 年期間顯著成長，因為它能夠簡化工業環境中的應用程式開發、部署和管理流程。 PaaS 產品為開發人員和企業提供了一個強大的框架來建立、客製化和擴展應用程式，而無需管理底層基礎設施的複雜性。 PaaS 解決方案還可以根據需求靈活地擴展資源，同時提高營運效率並降低與傳統 IT 基礎架構管理相關的成本。

預計到 2032 年，預測性維護應用領域的工業雲端平台市場將資料成長。這些雲端平台可以透過感測器和資料收集來即時監控機械性能和健康狀況，以便及早發現潛在的故障或失效。

由於工業化的快速發展、數位技術的不斷採用以及政府支持智慧製造的舉措，預計亞太地區工業雲端平台產業將在 2024 年至 2032 年期間大幅成長。中國、日本和韓國等國家正在大力投資工業 4.0 計劃，強調在製造過程中整合自動化、物聯網和資料分析，從而促進區域市場的成長。

產業生態系統分析
供應商矩陣
利潤率分析
技術與創新格局
專利分析
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 數位轉型舉措
  - 不斷成長的物聯網採用率
  - 需要即時洞察
  - 可擴充性和靈活性
  - 成本效益
- 產業陷阱與挑戰
  - 安全問題
  - 整合複雜性
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：按部署分類，2021 - 2032 年

主要趨勢
公共雲端
私有雲端
混合雲端

第 6 章：市場估計與預測：按類型，2021 - 2032

主要趨勢
基礎設施即服務 (IaaS)
平台即服務 (PaaS)
軟體即服務 (SaaS)

第 7 章：市場估計與預測：按組成部分，2021 - 2032 年

主要趨勢
解決方案
服務

第 8 章：市場估計與預測：依應用分類，2021 - 2032

主要趨勢
資產績效管理（APM）
預測性維護
供應鏈管理
遠端監控
品質管理
其他

第 9 章：市場估計與預測：按最終用戶分類，2021 - 2032 年

主要趨勢
製造業
能源和公用事業
運輸與物流
衛生保健
航太和國防
其他

第 10 章：市場估計與預測：按地區，2021 - 2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 歐洲其他地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 亞太地區其他地區
拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地區
MEA
- 阿拉伯聯合大公國
- 南非
- 沙烏地阿拉伯
- MEA 的其餘部分

第 11 章：公司簡介

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.

簡介目錄

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