封面
市场调查报告书
商品编码
1455412

工业物联网人工智慧中的云端运算 2024 年全球市场报告

Cloud Computing In Industrial IoT AI Global Market Report 2024

出版日期: 按订单生产 | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10个工作天内

价格
简介目录

工业物联网人工智慧云端运算的市场规模预计在未来几年将快速成长。预计到 2028 年将以 18.6% 的复合年增长率 (CAGR) 增长至 1947.3 亿美元。预测期内的预期成长包括与电子健康记录 (EHR) 的整合、强调早期疗育策略、扩大远端患者监护、心理健康挑战的日益普遍、全球健康倡议等,可归因于多种因素。预测期内预计的主要趋势包括数位治疗方法的引入、人工智慧和虚拟实境(VR)的技术进步、数位健康和​​远端医疗的趋势、与研究机构的合作以及认知训练方法的游戏化,其中包括应用程序等。

云端运算的日益普及预计将在不久的将来推动云端运算在工业物联网人工智慧市场的扩张。云端运算是指透过网路提供运算服务,让使用者可以按需存取伺服器、储存、软体等资源,允许快速创新、灵活资源,提供高性价比的解决方案。在工业物联网人工智慧领域,云端运算透过提供可扩展的基础设施、即时分析和高效的资料储存来实现无缝集成,从而推动需求。支援物联网 (IoT) 的云端架构和服务可在 IoT 装置上储存和处理 AI 平台产生的资料,从而促进流畅的连接、资料管理和进阶分析。例如,欧盟统计局在 2023 年 12 月报告称,45.2% 的欧盟 (EU) 公司购买了云端运算服务,主要用于託管电子邮件系统、储存电子文件和其他任务。大型企业的采用率更高,2023年购买云端运算服务的比例为77.6%,比2021年增加6个百分点。这样,云端运算的日益普及正在推动云端运算在工业物联网人工智慧领域的扩展。市场。

工业物联网人工智慧市场云端运算的主要企业正在加强开发创新技术解决方案,例如云端基础的开发环境平台,以增强竞争力。云端基础的开发环境平台可作为软体开发团队协作、建置、测试和部署应用程式的集中平台。例如,瑞萨电子公司于 2023 年 12 月推出了 AI Workbench,这是一个云端基础的虚拟环境,允许开发人员跨各种应用程式设计、模拟和测试软体。此虚拟开发环境允许汽车人工智慧工程师利用瑞萨电子的可扩展汽车SoC(系统晶片)和微控制器来设计、模拟和测试软体。该平台建立在微软Azure云端上,并得到其他云端供应商的支持,允许客户将AI Workbench功能无缝整合到他们的开发工作流程中。

目录

第一章执行摘要

第二章 市场特点

第三章 市场趋势与策略

第四章宏观经济情景

  • 高通膨对市场的影响
  • 乌克兰与俄罗斯战争对市场的影响
  • COVID-19 对市场的影响

第五章世界市场规模与成长

  • 全球市场驱动因素与限制因素
    • 市场驱动因素
    • 市场限制因素
  • 2018-2023 年全球市场规模表现与成长
  • 全球市场规模预测与成长,2023-2028、2033

第六章市场区隔

  • 全球工业物联网人工智慧市场云端运算,按云端类型细分、实际和预测,2018-2023、2023-2028、2033
  • 混合
  • 私人的
  • 公共
  • 工业物联网人工智慧市场的全球云端运算,按感测器类型细分、实际和预测,2018-2023、2023-2028、2033
  • 光学感测器
  • 压力感测器
  • 接近感测器
  • 温度感应器
  • 全球工业物联网人工智慧云端运算市场,按模型细分、实际和预测,2018-2023、2023-2028、2033
  • Infrastructure As A Service (IaaS)
  • Platform As A Service (PaaS)
  • Software As A Service (SaaS)
  • 工业物联网人工智慧市场的全球云端运算,按最终用户细分,实际和预测,2018-2023、2023-2028、2033
  • 活力
  • 卫生保健
  • 製造业
  • 矿业和农业
  • 油和气
  • 运输

第 7 章 区域与国家分析

  • 全球工业物联网人工智慧云端运算市场,按地区、实际和预测,2018-2023、2023-2028、2033
  • 全球工业物联网人工智慧市场云端运算,按国家、实际和预测,2018-2023、2023-2028、2033

第八章亚太市场

第九章 中国市场

第十章 印度市场

第十一章 日本市场

第十二章 澳洲市场

第十三章 印尼市场

第14章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章 德国市场

第十八章 法国市场

第十九章 义大利市场

第20章 西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章加拿大市场

第26章 南美洲市场

第27章 巴西市场

第28章 中东市场

第29章 非洲市场

第三十章 竞争格局及公司概况

  • 工业物联网AI云端运算市场竞争格局
  • 工业物联网人工智慧云端运算市场公司概况
    • Google LLC(Alphabet)
    • Microsoft Corp.
    • Robert Bosch GmbH
    • Hitachi Ltd.
    • Amazon Web Services Inc.(AWS)

第三十一章 其他重大及创新企业

  • 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章竞争基准化分析

第 33 章. 竞争对手仪表板

第三十四章 重大併购

第35章 未来前景与可能性分析

第36章附录

简介目录
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.

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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