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インダストリアルIoT AIにおけるクラウドコンピューティングの世界市場レポート2024

Cloud Computing In Industrial IoT AI Global Market Report 2024

出版日: 受注後更新 | 発行: The Business Research Company | ページ情報: 英文 175 Pages | 納期: 2~10営業日

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インダストリアルIoT AIにおけるクラウドコンピューティングの世界市場レポート2024
出版日: 受注後更新
発行: The Business Research Company
ページ情報: 英文 175 Pages
納期: 2~10営業日
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  • 概要
  • 目次
概要

インダストリアルIoT AIにおけるクラウドコンピューティングの市場規模は、今後数年間で急速に成長すると予想されています。 2028年には18.6%の年間複合成長率(CAGR)で1,947億3,000万米ドルに成長すると予想されます。予測期間中に予測される成長は、電子医療記録(EHR)との統合、早期介入戦略への重点、遠隔患者モニタリングの拡大、メンタルヘルス課題の有病率の増加、世界の健康への取り組みなど、いくつかの要因に起因すると考えられます。予測期間中に予想される主な動向には、デジタル治療法の導入、AIと仮想現実(VR)の技術進歩、デジタルヘルスと遠隔医療の動向、調査機関との連携、認知トレーニング方法のゲーミフィケーションなどが含まれます。

クラウドコンピューティングの採用の増加により、近い将来、インダストリアルIoT AIにおけるクラウドコンピューティング市場の拡大が促進されると予想されます。クラウドコンピューティングとは、インターネット経由でコンピューティングサービスを提供することを指し、ユーザーがオンデマンドでサーバー、ストレージ、ソフトウェア、その他のリソースにアクセスできるようにすることで、迅速なイノベーション、柔軟なリソース、コスト効率の高いソリューションを提供します。インダストリアルIoT AIドメインでは、クラウドコンピューティングは、スケーラブルなインフラストラクチャ、リアルタイム分析、シームレスな統合のための効率的なデータストレージを提供することで需要を高めます。モノのインターネット(IoT)をサポートするクラウドアーキテクチャとサービスは、AIプラットフォームによって生成されたデータをIoTデバイスに保存して処理し、スムーズな接続、データ管理、高度な分析を促進します。たとえば、ユーロスタットは2023年 12月に、EU(欧州連合)企業の45.2%が、主に電子メールシステムのホスティング、電子ファイルの保存、その他のタスクのためにクラウドコンピューティングサービスを取得したと報告しました。大企業での導入率はさらに高く、2023年には77.6%がクラウドコンピューティングサービスを購入し、2021年から6パーセントポイント増加しました。このように、クラウドコンピューティングの導入拡大が、インダストリアルIoT AIにおけるクラウドコンピューティングの拡大を促進しています。市場。

インダストリアルIoT AIにおけるクラウドコンピューティング市場の主要企業は、競争力を強化するために、クラウドベースの開発環境プラットフォームなどの革新的な技術ソリューションを開発する取り組みを強化しています。クラウドベースの開発環境プラットフォームは、ソフトウェア開発チームがアプリケーションを共同作業、構築、テスト、展開するための集中プラットフォームとして機能します。たとえば、ルネサスエレクトロニクス株式会社は、開発者がさまざまなアプリケーションにわたってソフトウェアを設計、シミュレーション、テストできるようにするクラウドベースの仮想環境であるAIワークベンチを2023年 12月に発売しました。この仮想開発環境により、車載AIエンジニアは、ルネサスのスケーラブルな車載SoC(システムオンチップ)とマイクロコントローラーを活用して、ソフトウェアの設計、シミュレーション、テストを行うことができます。このプラットフォームはMicrosoft Azureクラウド上に構築されており、他のクラウドベンダーによってサポートされるため、顧客はAIワークベンチの機能を開発ワークフローにシームレスに統合できます。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 マクロ経済シナリオ

  • 高インフレが市場に与える影響
  • ウクライナ・ロシア戦争が市場に与える影響
  • COVID-19による市場への影響

第5章 世界市場規模と成長

  • 世界の市場促進要因と抑制要因
    • 市場促進要因
    • 市場抑制要因
  • 世界の市場規模実績と成長、2018年~2023年
  • 世界の市場規模予測と成長、2023年~2028年、2033年

第6章 市場セグメンテーション

  • 世界のインダストリアルIoT AIにおけるクラウドコンピューティング市場、クラウドタイプ別のセグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • ハイブリッド
  • 民間
  • 公共
  • 世界のインダストリアルIoT AIにおけるクラウドコンピューティング市場、センサータイプ別のセグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • 光学センサー
  • 圧力センサー
  • 近接センサー
  • 温度センサー
  • 世界のインダストリアルIoT AIにおけるクラウドコンピューティング市場、モデル別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • Infrastructure As A Service (IaaS)
  • Platform As A Service (PaaS)
  • Software As A Service (SaaS)
  • 世界のインダストリアルIoT AIにおけるクラウドコンピューティング市場、エンドユーザー別のセグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • エネルギー
  • ヘルスケア
  • 製造業
  • 鉱業と農業
  • 石油・ガス
  • 輸送機関

第7章 地域および国の分析

  • 世界のインダストリアルIoT AIにおけるクラウドコンピューティング市場、地域別、実績および予測、2018-2023年、2023-2028年、2033年
  • 世界のインダストリアルIoT AIにおけるクラウドコンピューティング市場、国別、実績および予測、2018-2023年、2023-2028年、2033年

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

  • インダストリアルIoT AIにおけるクラウドコンピューティング市場の競合情勢
  • インダストリアルIoT AIにおけるクラウドコンピューティング市場企業プロファイル
    • Google LLC(Alphabet)
    • Microsoft Corp.
    • Robert Bosch GmbH
    • Hitachi Ltd.
    • Amazon Web Services Inc.(AWS)

第31章 その他の主要および革新的な企業

  • 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 競合ベンチマーキング

第33章 競合ダッシュボード

第34章 主要な合併と買収

第35章 将来の見通しと可能性の分析

第36章 付録

目次
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

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the coronavirus and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
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  • Outperform competitors using forecast data and the drivers and trends shaping the market.
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  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
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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