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市場調查報告書
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1455412

工業物聯網人工智慧中的雲端運算 2024 年全球市場報告

Cloud Computing In Industrial IoT AI Global Market Report 2024

出版日期: 按訂單生產 | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10個工作天內

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簡介目錄

工業物聯網人工智慧雲端運算的市場規模預計在未來幾年將快速成長。預計到 2028 年將以 18.6% 的複合年成長率 (CAGR) 成長至 1947.3 億美元。預測期內的預期成長包括與電子健康記錄 (EHR) 的整合、強調早期療育策略、擴大遠端患者監護、心理健康挑戰的日益普遍、全球健康計劃等,可歸因於多種因素。預測期內預計的主要趨勢包括數位治療方法的引入、人工智慧和虛擬實境(VR)的技術進步、數位健康和​​遠端醫療的趨勢、與研究機構的合作以及認知訓練方法的遊戲化,其中包括應用程式等。

雲端運算的日益普及預計將在不久的將來推動雲端運算在工業物聯網人工智慧市場的擴張。雲端運算是指透過網路提供運算服務,讓使用者可以按需存取伺服器、儲存、軟體等資源,允許快速創新、靈活資源,提供具成本效益的解決方案。在工業物聯網人工智慧領域,雲端運算透過提供可擴展的基礎設施、即時分析和高效的資料儲存來實現無縫整合,從而推動需求。支援物聯網 (IoT) 的雲端架構和服務可在 IoT 裝置上儲存和處理 AI 平台產生的資料,從而促進流暢的連接、資料管理和進階分析。例如,歐盟統計局在 2023 年 12 月報告稱,45.2% 的歐盟 (EU) 公司購買了雲端運算服務,主要用於託管電子郵件系統、儲存電子文件和其他任務。大型企業的採用率更高,2023年購買雲端運算服務的比例為77.6%,比2021年增加6個百分點。這樣,雲端運算的日益普及正在推動雲端運算在工業物聯網人工智慧領域的擴展。市場。

工業物聯網人工智慧市場雲端運算的主要企業正在加強開發創新技術解決方案,例如雲端基礎的開發環境平台,以增強競爭力。雲端基礎的開發環境平台可作為軟體開發團隊協作、建置、測試和部署應用程式的集中平台。例如,瑞薩電子公司於 2023 年 12 月推出了 AI Workbench,這是一個雲端基礎的虛擬環境,允許開發人員跨各種應用程式設計、模擬和測試軟體。此虛擬開發環境允許汽車人工智慧工程師利用瑞薩電子的可擴展汽車SoC(系統晶片)和微控制器來設計、模擬和測試軟體。該平台建立在微軟Azure雲端上,並得到其他雲端供應商的支持,允許客戶將AI Workbench功能無縫整合到他們的開發工作流程中。

目錄

第1章執行摘要

第2章 市場特點

第3章 市場趨勢與策略

第4章宏觀經濟情景

  • 高通膨對市場的影響
  • 烏克蘭與俄羅斯戰爭對市場的影響
  • COVID-19 對市場的影響

第5章世界市場規模與成長

  • 全球市場促進因素與限制因素
    • 市場促進因素
    • 市場限制因素
  • 2018-2023 年全球市場規模表現與成長
  • 全球市場規模預測與成長,2023-2028、2033

第6章市場區隔

  • 全球工業物聯網人工智慧市場雲端運算,按雲端類型細分、實際和預測,2018-2023、2023-2028、2033
  • 混合
  • 私人的
  • 公共
  • 工業物聯網人工智慧市場的全球雲端運算,按感測器類型細分、實際和預測,2018-2023、2023-2028、2033
  • 光學感測器
  • 壓力感測器
  • 接近感測器
  • 溫度感應器
  • 全球工業物聯網人工智慧雲端運算市場,按模型細分、實際和預測,2018-2023、2023-2028、2033
  • Infrastructure As A Service (IaaS)
  • Platform As A Service (PaaS)
  • Software As A Service (SaaS)
  • 工業物聯網人工智慧市場的全球雲端運算,按最終用戶細分,實際和預測,2018-2023、2023-2028、2033
  • 能源
  • 衛生保健
  • 製造業
  • 礦業和農業
  • 油和氣
  • 運輸

第 7 章 區域與國家分析

  • 全球工業物聯網人工智慧雲端運算市場,按地區、實際和預測,2018-2023、2023-2028、2033
  • 全球工業物聯網人工智慧市場雲端運算,按國家、實際和預測,2018-2023、2023-2028、2033

第8章亞太市場

第9章 中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章 德國市場

第18章 法國市場

第19章 義大利市場

第20章 西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章加拿大市場

第26章 南美洲市場

第27章 巴西市場

第28章 中東市場

第29章 非洲市場

第30章 競爭格局及公司概況

  • 工業物聯網AI雲端運算市場競爭格局
  • 工業物聯網人工智慧雲端運算市場公司概況
    • Google LLC(Alphabet)
    • Microsoft Corp.
    • Robert Bosch GmbH
    • Hitachi Ltd.
    • Amazon Web Services Inc.(AWS)

第31章 其他重大及創新企業

  • Siemens AG
  • General Electric
  • Intel Corp.
  • IBM Corp.
  • Cisco Systems Inc.
  • Oracle Corp.
  • Schneider Electric SE
  • Honeywell International Inc.
  • ABB Ltd.
  • Fujitsu Ltd.
  • Salesforce Inc.
  • Cority Software Inc.
  • DXC Technologies
  • IROOTECH(Sany Group)
  • Rockwell Automation

第32章競爭基準化分析

第 33 章. 競爭對手儀表板

第34章 重大併購

第35章 未來前景與可能性分析

第36章附錄

簡介目錄
Product Code: r16413

Cloud computing in Industrial IoT (Internet of Things) AI involves leveraging remote servers to store, process, and analyze data for industrial applications while integrating artificial intelligence capabilities. It is utilized for IoT data storage, processing, and management, facilitating secure sharing of industrial data between organizations, storing data in cloud storage for future processing, and offering advanced analytics capabilities for predictive maintenance, anomaly detection, and process optimization in industrial operations.

The primary types of cloud computing in Industrial IoT AI include hybrid, private, and public models. Hybrid cloud computing combines on-premises infrastructure or a private cloud with third-party public cloud services, allowing data and applications to transition between the two environments seamlessly. Various sensors are employed, including optical sensors, pressure sensors, proximity sensors, and temperature sensors. Additionally, different service models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) are utilized across various industries including energy, healthcare, manufacturing, mining and agriculture, oil and gas, and transportation.

The cloud computing in industrial IoT AI market research report is one of a series of new reports from The Business Research Company that provides cloud computing in industrial IoT AI market statistics, including cloud computing in industrial IoT AI industry global market size, regional shares, competitors with a cloud computing in industrial IoT AI market share, detailed cloud computing in industrial IoT AI market segments, market trends and opportunities, and any further data you may need to thrive in the cloud computing in industrial IoT AI industry. This cloud computing in industrial IoT AI market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The cloud computing in industrial iot AI market size has grown rapidly in recent years. It will grow from $82.39 billion in 2023 to $98.34 billion in 2024 at a compound annual growth rate (CAGR) of 19.4%. The growth observed during the historic period can be attributed to several factors, including demographics reflecting an aging population, an increase in neurological disorders, advancements in cognitive science, heightened awareness surrounding mental health, and the adoption of personalized medicine approaches.

The cloud computing in industrial iot AI market size is expected to see rapid growth in the next few years. It will grow to $194.73 billion in 2028 at a compound annual growth rate (CAGR) of 18.6%. The projected growth in the forecast period can be attributed to several factors, including integration with electronic health records (EHR), a focus on early intervention strategies, expansion of remote patient monitoring, the increasing prevalence of mental health challenges, and global health initiatives. Major trends anticipated in the forecast period include the adoption of digital therapeutics, technological advancements in AI and virtual reality (VR), trends in digital health and telemedicine, collaboration with research institutions, and the gamification of cognitive training methods.

The growth of cloud computing adoption is anticipated to drive the expansion of cloud computing in the industrial IoT AI market in the foreseeable future. Cloud computing refers to the delivery of computing services over the internet, offering rapid innovation, flexible resources, and cost-effective solutions by granting users access to servers, storage, software, and other resources on demand. In the industrial IoT AI domain, cloud computing enhances demand by providing scalable infrastructure, real-time analytics, and efficient data storage for seamless integration. Cloud architectures and services supporting the Internet of Things (IoT) can store and process data generated by AI platforms on IoT devices, facilitating smooth connectivity, data management, and advanced analytics. For example, Eurostat reported in December 2023 that 45.2% of EU (European Union) enterprises acquired cloud computing services, primarily for hosting email systems, storing electronic files, and other tasks. The adoption rate among large businesses was even higher, with 77.6% purchasing cloud computing services in 2023, reflecting a 6-percentage point increase from 2021. Thus, the growing adoption of cloud computing is fueling the expansion of cloud computing in the industrial IoT AI market.

Key players in the cloud computing in the industrial IoT AI market are intensifying their efforts to develop innovative technological solutions, such as cloud-based development environment platforms, to enhance their competitive position. A cloud-based development environment platform serves as a centralized platform for software development teams to collaborate, build, test, and deploy applications. For instance, Renesas Electronics Corporation launched the AI Workbench in December 2023, a cloud-based virtual environment enabling developers to design, simulate, and test software across various applications. This virtual development environment empowers automotive AI engineers to leverage Renesas' scalable automotive SoCs (system-on-chip) and microcontrollers for designing, simulating, and testing software. Built on the Microsoft Azure Cloud, the platform will be supported by other cloud vendors, allowing customers to seamlessly integrate AI Workbench functionality into their development workflow.

In June 2023, Accenture acquired Flutura to bolster its industrial AI services for clients in energy, chemicals, metals, mining, and pharmaceutical industries. Flutura, based in India, specializes in providing cloud computing solutions in industrial IoT.

Major companies operating in the cloud computing in industrial iot AI market report are Google LLC (Alphabet), Microsoft Corp., Robert Bosch GmbH, Hitachi Ltd., Amazon Web Services Inc. (AWS), Siemens AG, General Electric, Intel Corp., IBM Corp., Cisco Systems Inc., Oracle Corp., Schneider Electric SE, Honeywell International Inc., ABB Ltd., Fujitsu Ltd., Salesforce Inc., Cority Software Inc., DXC Technologies, IROOTECH (Sany Group), Rockwell Automation, Wolters Kluwer N.V., Iron Mountain Inc., Advantech, PTC ThingWorx, LosantIOT Inc., Fogwing Cloud (Factana Computing Pvt)

North America was the largest region in the cloud computing in industrial IoT AI market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the cloud computing in industrial iot AI market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the cloud computing in industrial IoT AI market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The cloud computing in industrial IoT AI market consists of revenues earned by entities by providing services such as centralized data storage, real-time analytics, artificial intelligence integration, and cloud-based infrastructure for industrial applications. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The cloud computing in industrial IoT AI market also includes sales of servers, storage devices, and networking equipment. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Cloud Computing In Industrial IoT AI Global Market Report 2024 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on cloud computing in industrial iot ai market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

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Where is the largest and fastest growing market for cloud computing in industrial iot ai ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The cloud computing in industrial iot ai market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of covid 19 on supply chains and consumption patterns.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:

  • 1) By Cloud Type: Hybrid; Private; Public
  • 2) By Sensor Type: Optical Sensors; Pressure Sensors; Proximity Sensors; Temperature Sensors
  • 3) By Model: Infrastructure As A Service (IaaS); Platform As A Service (PaaS); Software As A Service (SaaS)
  • 4) By End-User: Energy; Healthcare; Manufacturing; Mining And Agriculture; Oil And Gas; Transportation
  • Companies Mentioned: Google LLC (Alphabet); Microsoft Corp.; Robert Bosch GmbH; Hitachi Ltd.; Amazon Web Services Inc. (AWS)
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Cloud Computing In Industrial IoT AI Market Characteristics

3. Cloud Computing In Industrial IoT AI Market Trends And Strategies

4. Cloud Computing In Industrial IoT AI Market - Macro Economic Scenario

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global Cloud Computing In Industrial IoT AI Market Size and Growth

  • 5.1. Global Cloud Computing In Industrial IoT AI Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global Cloud Computing In Industrial IoT AI Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global Cloud Computing In Industrial IoT AI Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. Cloud Computing In Industrial IoT AI Market Segmentation

  • 6.1. Global Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Hybrid
  • Private
  • Public
  • 6.2. Global Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Optical Sensors
  • Pressure Sensors
  • Proximity Sensors
  • Temperature Sensors
  • 6.3. Global Cloud Computing In Industrial IoT AI Market, Segmentation By Model, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Infrastructure As A Service (IaaS)
  • Platform As A Service (PaaS)
  • Software As A Service (SaaS)
  • 6.4. Global Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Energy
  • Healthcare
  • Manufacturing
  • Mining and Agriculture
  • Oil And Gas
  • Transportation

7. Cloud Computing In Industrial IoT AI Market Regional And Country Analysis

  • 7.1. Global Cloud Computing In Industrial IoT AI Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global Cloud Computing In Industrial IoT AI Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific Cloud Computing In Industrial IoT AI Market

  • 8.1. Asia-Pacific Cloud Computing In Industrial IoT AI Market Overview
  • Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China Cloud Computing In Industrial IoT AI Market

  • 9.1. China Cloud Computing In Industrial IoT AI Market Overview
  • 9.2. China Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India Cloud Computing In Industrial IoT AI Market

  • 10.1. India Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan Cloud Computing In Industrial IoT AI Market

  • 11.1. Japan Cloud Computing In Industrial IoT AI Market Overview
  • 11.2. Japan Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia Cloud Computing In Industrial IoT AI Market

  • 12.1. Australia Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia Cloud Computing In Industrial IoT AI Market

  • 13.1. Indonesia Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea Cloud Computing In Industrial IoT AI Market

  • 14.1. South Korea Cloud Computing In Industrial IoT AI Market Overview
  • 14.2. South Korea Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe Cloud Computing In Industrial IoT AI Market

  • 15.1. Western Europe Cloud Computing In Industrial IoT AI Market Overview
  • 15.2. Western Europe Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK Cloud Computing In Industrial IoT AI Market

  • 16.1. UK Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany Cloud Computing In Industrial IoT AI Market

  • 17.1. Germany Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France Cloud Computing In Industrial IoT AI Market

  • 18.1. France Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy Cloud Computing In Industrial IoT AI Market

  • 19.1. Italy Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain Cloud Computing In Industrial IoT AI Market

  • 20.1. Spain Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe Cloud Computing In Industrial IoT AI Market

  • 21.1. Eastern Europe Cloud Computing In Industrial IoT AI Market Overview
  • 21.2. Eastern Europe Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia Cloud Computing In Industrial IoT AI Market

  • 22.1. Russia Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America Cloud Computing In Industrial IoT AI Market

  • 23.1. North America Cloud Computing In Industrial IoT AI Market Overview
  • 23.2. North America Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA Cloud Computing In Industrial IoT AI Market

  • 24.1. USA Cloud Computing In Industrial IoT AI Market Overview
  • 24.2. USA Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada Cloud Computing In Industrial IoT AI Market

  • 25.1. Canada Cloud Computing In Industrial IoT AI Market Overview
  • 25.2. Canada Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America Cloud Computing In Industrial IoT AI Market

  • 26.1. South America Cloud Computing In Industrial IoT AI Market Overview
  • 26.2. South America Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil Cloud Computing In Industrial IoT AI Market

  • 27.1. Brazil Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East Cloud Computing In Industrial IoT AI Market

  • 28.1. Middle East Cloud Computing In Industrial IoT AI Market Overview
  • 28.2. Middle East Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa Cloud Computing In Industrial IoT AI Market

  • 29.1. Africa Cloud Computing In Industrial IoT AI Market Overview
  • 29.2. Africa Cloud Computing In Industrial IoT AI Market, Segmentation By Cloud Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Cloud Computing In Industrial IoT AI Market, Segmentation By Sensor Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa Cloud Computing In Industrial IoT AI Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. Cloud Computing In Industrial IoT AI Market Competitive Landscape And Company Profiles

  • 30.1. Cloud Computing In Industrial IoT AI Market Competitive Landscape
  • 30.2. Cloud Computing In Industrial IoT AI Market Company Profiles
    • 30.2.1. Google LLC (Alphabet)
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. Microsoft Corp.
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. Robert Bosch GmbH
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. Hitachi Ltd.
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. Amazon Web Services Inc. (AWS)
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

31. Cloud Computing In Industrial IoT AI Market Other Major And Innovative Companies

  • 31.1. Siemens AG
  • 31.2. General Electric
  • 31.3. Intel Corp.
  • 31.4. IBM Corp.
  • 31.5. Cisco Systems Inc.
  • 31.6. Oracle Corp.
  • 31.7. Schneider Electric SE
  • 31.8. Honeywell International Inc.
  • 31.9. ABB Ltd.
  • 31.10. Fujitsu Ltd.
  • 31.11. Salesforce Inc.
  • 31.12. Cority Software Inc.
  • 31.13. DXC Technologies
  • 31.14. IROOTECH (Sany Group)
  • 31.15. Rockwell Automation

32. Global Cloud Computing In Industrial IoT AI Market Competitive Benchmarking

33. Global Cloud Computing In Industrial IoT AI Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Cloud Computing In Industrial IoT AI Market

35. Cloud Computing In Industrial IoT AI Market Future Outlook and Potential Analysis

  • 35.1 Cloud Computing In Industrial IoT AI Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 Cloud Computing In Industrial IoT AI Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 Cloud Computing In Industrial IoT AI Market In 2028 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer