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1604187

全球雲端運算工業物聯網市場研究報告 - 2024 年至 2032 年產業分析、規模、佔有率、成長、趨勢與預測

Global Cloud Computing In Industrial IoT Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032

出版日期: 2024年11月01日 | 出版商:

Value Market Research | 英文 117 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄圖表

全球工業物聯網市場對雲端運算的需求預計將從2023年的7,092.1億美元達到2032年近2,7,033.8億美元的市場規模，2024-2032年研究期間的複合年成長率為16.03%。

工業物聯網 (IIoT) 中的雲端運算使用基於雲端的服務和基礎設施來管理、分析和儲存互聯工業設備產生的資料。工業物聯網利用感測器和智慧型設備從工業營運中收集即時資料，然後將其傳輸到雲端進行處理。雲端運算支援可擴展的資料儲存、進階分析和遠端監控，從而提高營運效率和決策。它有助於預測性維護、能源管理和供應鏈最佳化。將雲端運算與工業物聯網相整合，透過提供靈活性、可擴展性和成本節約來支援產業的數位轉型。

市場動態

工業物聯網 (IIoT) 設備和感測器在各個行業的廣泛應用產生了大量必須即時處理、儲存和分析的資料。工業環境中對遠端監控、預測性維護和資產最佳化的需求推動了工業物聯網市場中的雲端運算。雲端運算提供了必要的基礎設施和分析工具來實現這些功能，使企業能夠提高生產力、減少停機時間並提高營運效率。邊緣運算和霧運算等雲端技術的進步進一步推動了工業物聯網環境中基於雲端的解決方案的採用。這些技術使資料處理和分析能夠更接近資料生成來源，減少延遲和頻寬需求，同時增強即時決策能力。

此外，雲端運算服務的可擴展性、成本效益和可訪問性使其成為尋求部署 IIoT 解決方案而無需大量前期基礎設施投資的企業的有吸引力的選擇。隨著組織繼續優先考慮數位轉型和工業 4.0 計劃，工業物聯網對雲端運算的需求預計將飆升，從而推動創新並釋放效率、競爭力和成長的新機會。然而，資料安全問題和整合複雜性可能會在未來幾年對工業物聯網市場成長中的雲端運算構成挑戰。

研究報告涵蓋波特五力模型、市場吸引力分析和價值鏈分析。這些工具有助於清晰地了解行業結構並評估全球範圍內的競爭吸引力。此外，這些工具也對全球工業物聯網雲端運算市場的各個細分市場進行了包容性評估。工業物聯網產業中雲端運算的成長和趨勢為本研究提供了整體方法。

市場區隔

工業物聯網雲端運算市場報告的這一部分提供了有關國家和地區層級細分市場的詳細資料，從而幫助策略家確定相應產品或服務的目標人口統計數據以及即將到來的機會。

按連接埠類型

CCS
國家航空暨太空總署
MCS
超級'
超極

區域分析

本節涵蓋區域展望，重點介紹北美、歐洲、亞太地區、拉丁美洲以及中東和非洲工業物聯網市場雲端運算的當前和未來需求。此外，該報告重點關注所有主要地區各個應用領域的需求、估計和預測。

該研究報告還涵蓋了市場主要參與者的全面概況以及對全球競爭格局的深入了解。工業物聯網雲端運算市場的主要參與者包括Amazon Web Services Inc.、Asigra Inc.、Carbonite Inc.、CISCO、Cumulocity GmBH、Druva Software、DXC Technology Company、FUJITSU、通用電氣、霍尼韋爾國際公司、IBM 、英特爾公司、Iron Mountain Incorporated、IROOTECH、LosantIoT Inc.、微軟公司。本節包含競爭格局的整體視圖，包括各種策略發展，例如關鍵併購、未來產能、合作夥伴關係、財務概況、合作、新產品開發、新產品發布和其他發展。

如果您有任何客製化要求，請寫信給我們。我們的研究團隊可以根據您的需求提供客製化報告。

區域展望
介紹
北美銷售分析
- 概覽、歷史與預測資料銷售分析
- 北美按細分市場銷售分析
- 北美按國家銷售分析
- 美國銷售分析
- 加拿大銷售分析
- 墨西哥銷售分析
歐洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 歐洲按細分市場銷售分析
- 歐洲按國家銷售分析
- 英國銷售分析
- 法國銷售分析
- 德國銷售分析
- 義大利銷售分析
- 俄羅斯銷售分析
- 歐洲其他地區銷售分析
亞太地區銷售分析
- 概覽、歷史與預測資料銷售分析
- 亞太地區按細分市場銷售分析
- 亞太地區按國家銷售分析
- 中國銷售分析
- 印度銷售分析
- 日本銷售分析
- 韓國銷售分析
- 澳洲銷售分析
- 東南亞銷售分析
- 亞太地區其他地區銷售分析
拉丁美洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 拉丁美洲按細分市場銷售分析
- 拉丁美洲按國家銷售分析
- 巴西銷售分析
- 阿根廷銷售分析
- 秘魯銷售分析
- 智利銷售分析
- 拉丁美洲其他地區銷售分析
中東和非洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 中東和非洲按細分市場銷售分析
- 中東和非洲按國家銷售分析
- 沙烏地阿拉伯銷售分析
- 阿拉伯聯合大公國銷售分析
- 以色列銷售分析
- 南非銷售分析
- 中東其他地區和非洲銷售分析

第 7 章：工業物聯網公司雲端運算的競爭格局

工業物聯網市場競爭中的雲端運算
夥伴關係/協作/協議
併購
新產品發布
其他發展

第 8 章：公司簡介

頂級公司市佔率分析
市場集中度
Amazon Web Services Inc.

公司概況
公司收入
產品
最新動態

Asigra Inc.

公司概況
公司收入
產品
最新動態

Carbonite Inc.

公司概況
公司收入
產品
最新動態

CISCO

公司概況
公司收入
產品
最新動態

Cumulocity GmBH

公司概況
公司收入
產品
最新動態

Druva Software

公司概況
公司收入
產品
最新動態

DXC Technology Company

公司概況
公司收入
產品
最新動態

FUJITSU

公司概況
公司收入
產品
最新動態

General Electric

公司概況
公司收入
產品
最新動態

Honeywell International Inc.

公司概況
公司收入
產品
最新動態

公司概況
公司收入
產品
最新動態

Intel Corporation

公司概況
公司收入
產品
最新動態

Iron Mountain Incorporated

公司概況
公司收入
產品
最新動態

IROOTECH

公司概況
公司收入
產品
最新動態

LosantIoT Inc.

公司概況
公司收入
產品
最新動態

Microsoft Corporation

公司概況
公司收入
產品
最新動態

註 - 在公司概況中，財務詳細資訊和最新發展視情況而定，或對私人公司而言可能不包括在內

簡介目錄圖表

Product Code: VMR112114659

The global demand for Cloud Computing In Industrial IoT Market is presumed to reach the market size of nearly USD 2703.38 Billion by 2032 from USD 709.21 Billion in 2023 with a CAGR of 16.03% under the study period 2024-2032.

Cloud computing in Industrial IoT (IIoT) uses cloud-based services and infrastructure to manage, analyze, and store data generated by connected industrial devices. IIoT leverages sensors and smart devices to collect real-time data from industrial operations, which is then transmitted to the cloud for processing. Cloud computing enables scalable data storage, advanced analytics, and remote monitoring, improving operational efficiency and decision-making. It facilitates predictive maintenance, energy management, and supply chain optimization. Integrating cloud computing with IIoT supports digital transformation in industries by providing flexibility, scalability, and cost savings.

MARKET DYNAMICS

The spurring adoption of Industrial Internet of Things (IIoT) devices and sensors across various industries generate large amounts of data that must be processed, stored, and analyzed in real time. The requirement for remote monitoring, predictive maintenance, and asset optimization in industrial settings drives cloud computing in the industrial IoT market. Cloud computing provides the necessary infrastructure and analytics tools to enable these functionalities, empowering businesses to improve productivity, reduce downtime, and enhance operational efficiency. Advancements in cloud technologies, including edge computing and fog computing, further drive the adoption of cloud-based solutions in industrial IoT environments. These technologies enable data processing and analysis closer to the source of data generation, reducing latency and bandwidth requirements while enhancing real-time decision-making capabilities.

Moreover, cloud computing services' scalability, cost-effectiveness, and accessibility make them attractive options for businesses seeking to deploy IIoT solutions without significant upfront infrastructure investments. As organizations continue to prioritize digital transformation and Industry 4.0 initiatives, the demand for cloud computing in industrial IoT is expected to soar, driving innovation and unlocking new opportunities for efficiency, competitiveness, and growth. However, data security concerns and integration complexities may challenge cloud computing in industrial IoT market growth in the coming years.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of Cloud Computing In Industrial IoT. The growth and trends of Cloud Computing In Industrial IoT industry provide a holistic approach to this study.

MARKET SEGMENTATION

This section of the Cloud Computing In Industrial IoT market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Port Type

CCS
NACS
MCS
Hyper'
ChaoJi

REGIONAL ANALYSIS

This section covers the regional outlook, which accentuates current and future demand for the Cloud Computing In Industrial IoT market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Cloud Computing In Industrial IoT market include Amazon Web Services Inc., Asigra Inc., Carbonite Inc., CISCO, Cumulocity GmBH, Druva Software, DXC Technology Company, FUJITSU, General Electric, Honeywell International Inc., IBM, Intel Corporation, Iron Mountain Incorporated, IROOTECH, LosantIoT Inc., Microsoft Corporation. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

1. PREFACE

1.1. Report Description
- 1.1.1 Objective
- 1.1.2 Target Audience
- 1.1.3 Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1 Market Research Process
- 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3. CLOUD COMPUTING IN INDUSTRIAL IOT - INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Port Type
- 3.7.2 Market Attractiveness Analysis By Region

4. VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1 List of Raw Materials
- 4.2.2 Raw Material Manufactures List
- 4.2.3 Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1 Direct Marketing
- 4.4.2 Indirect Marketing
- 4.4.3 Marketing Channel Development Trend

5. GLOBAL CLOUD COMPUTING IN INDUSTRIAL IOT MARKET ANALYSIS BY PORT TYPE

5.1. Overview By Port Type
5.2. Historical and Forecast Data
5.3. Analysis By Port Type
5.4. CCS Historic and Forecast Sales By Regions
5.5. NACS Historic and Forecast Sales By Regions
5.6. MCS Historic and Forecast Sales By Regions
5.7. Hyper' Historic and Forecast Sales By Regions
5.8. ChaoJi Historic and Forecast Sales By Regions

6. GLOBAL CLOUD COMPUTING IN INDUSTRIAL IOT MARKET ANALYSIS BY GEOGRAPHY

6.1. Regional Outlook
6.2. Introduction
6.3. North America Sales Analysis
- 6.3.1 Overview, Historic and Forecast Data Sales Analysis
- 6.3.2 North America By Segment Sales Analysis
- 6.3.3 North America By Country Sales Analysis
- 6.3.4 United States Sales Analysis
- 6.3.5 Canada Sales Analysis
- 6.3.6 Mexico Sales Analysis
6.4. Europe Sales Analysis
- 6.4.1 Overview, Historic and Forecast Data Sales Analysis
- 6.4.2 Europe By Segment Sales Analysis
- 6.4.3 Europe By Country Sales Analysis
- 6.4.4 United Kingdom Sales Analysis
- 6.4.5 France Sales Analysis
- 6.4.6 Germany Sales Analysis
- 6.4.7 Italy Sales Analysis
- 6.4.8 Russia Sales Analysis
- 6.4.9 Rest Of Europe Sales Analysis
6.5. Asia Pacific Sales Analysis
- 6.5.1 Overview, Historic and Forecast Data Sales Analysis
- 6.5.2 Asia Pacific By Segment Sales Analysis
- 6.5.3 Asia Pacific By Country Sales Analysis
- 6.5.4 China Sales Analysis
- 6.5.5 India Sales Analysis
- 6.5.6 Japan Sales Analysis
- 6.5.7 South Korea Sales Analysis
- 6.5.8 Australia Sales Analysis
- 6.5.9 South East Asia Sales Analysis
- 6.5.10 Rest Of Asia Pacific Sales Analysis
6.6. Latin America Sales Analysis
- 6.6.1 Overview, Historic and Forecast Data Sales Analysis
- 6.6.2 Latin America By Segment Sales Analysis
- 6.6.3 Latin America By Country Sales Analysis
- 6.6.4 Brazil Sales Analysis
- 6.6.5 Argentina Sales Analysis
- 6.6.6 Peru Sales Analysis
- 6.6.7 Chile Sales Analysis
- 6.6.8 Rest of Latin America Sales Analysis
6.7. Middle East & Africa Sales Analysis
- 6.7.1 Overview, Historic and Forecast Data Sales Analysis
- 6.7.2 Middle East & Africa By Segment Sales Analysis
- 6.7.3 Middle East & Africa By Country Sales Analysis
- 6.7.4 Saudi Arabia Sales Analysis
- 6.7.5 UAE Sales Analysis
- 6.7.6 Israel Sales Analysis
- 6.7.7 South Africa Sales Analysis
- 6.7.8 Rest Of Middle East And Africa Sales Analysis

7. COMPETITIVE LANDSCAPE OF THE CLOUD COMPUTING IN INDUSTRIAL IOT COMPANIES

7.1. Cloud Computing In Industrial IoT Market Competition
7.2. Partnership/Collaboration/Agreement
7.3. Merger And Acquisitions
7.4. New Product Launch
7.5. Other Developments

8. COMPANY PROFILES OF CLOUD COMPUTING IN INDUSTRIAL IOT INDUSTRY

8.1. Top Companies Market Share Analysis
8.2. Market Concentration Rate
8.3. Amazon Web Services Inc.
- 8.3.1 Company Overview
- 8.3.2 Company Revenue
- 8.3.3 Products
- 8.3.4 Recent Developments
8.4. Asigra Inc.
- 8.4.1 Company Overview
- 8.4.2 Company Revenue
- 8.4.3 Products
- 8.4.4 Recent Developments
8.5. Carbonite Inc.
- 8.5.1 Company Overview
- 8.5.2 Company Revenue
- 8.5.3 Products
- 8.5.4 Recent Developments
8.6. CISCO
- 8.6.1 Company Overview
- 8.6.2 Company Revenue
- 8.6.3 Products
- 8.6.4 Recent Developments
8.7. Cumulocity GmBH
- 8.7.1 Company Overview
- 8.7.2 Company Revenue
- 8.7.3 Products
- 8.7.4 Recent Developments
8.8. Druva Software
- 8.8.1 Company Overview
- 8.8.2 Company Revenue
- 8.8.3 Products
- 8.8.4 Recent Developments
8.9. DXC Technology Company
- 8.9.1 Company Overview
- 8.9.2 Company Revenue
- 8.9.3 Products
- 8.9.4 Recent Developments
8.10. FUJITSU
- 8.10.1 Company Overview
- 8.10.2 Company Revenue
- 8.10.3 Products
- 8.10.4 Recent Developments
8.11. General Electric
- 8.11.1 Company Overview
- 8.11.2 Company Revenue
- 8.11.3 Products
- 8.11.4 Recent Developments
8.12. Honeywell International Inc.
- 8.12.1 Company Overview
- 8.12.2 Company Revenue
- 8.12.3 Products
- 8.12.4 Recent Developments
8.13. IBM
- 8.13.1 Company Overview
- 8.13.2 Company Revenue
- 8.13.3 Products
- 8.13.4 Recent Developments
8.14. Intel Corporation
- 8.14.1 Company Overview
- 8.14.2 Company Revenue
- 8.14.3 Products
- 8.14.4 Recent Developments
8.15. Iron Mountain Incorporated
- 8.15.1 Company Overview
- 8.15.2 Company Revenue
- 8.15.3 Products
- 8.15.4 Recent Developments
8.16. IROOTECH
- 8.16.1 Company Overview
- 8.16.2 Company Revenue
- 8.16.3 Products
- 8.16.4 Recent Developments
8.17. LosantIoT Inc.
- 8.17.1 Company Overview
- 8.17.2 Company Revenue
- 8.17.3 Products
- 8.17.4 Recent Developments
8.18. Microsoft Corporation
- 8.18.1 Company Overview
- 8.18.2 Company Revenue
- 8.18.3 Products
- 8.18.4 Recent Developments