查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1428321

2024年雲端人工智慧全球市場報告

Cloud AI Global Market Report 2024
出版日期: | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10個工作天內

價格
簡介目錄

雲端人工智慧市場規模預計在未來幾年將快速成長。預計到 2028 年將以 38.4% 的複合年成長率 (CAGR) 成長至 3,012 億美元。預測期內的預期成長是由於混合和多重雲端策略的採用增加、對邊緣運算的日益重視、對透明度的日益重視以及人工智慧驅動的應用程式在各行業的興起。這是可能的。預測期內的主要趨勢包括與物聯網的整合、策略合作、主要企業的投資以及技術進步。

虛擬助理需求的激增預計將推動未來雲端人工智慧市場的成長。虛擬助理，也稱為語音助理或數位助理，利用人工智慧 (AI) 技術為用戶提供互動式、個人化的幫助。它們旨在理解並回應您的查詢、執行任務並為您提供相關資訊和服務。雲端人工智慧通常用於為虛擬助理提供支持，增強其能力，並允許企業大規模虛擬、訓練、部署和管理人工智慧模型。這種方法具有可擴充性、可靠性、安全性和成本效益等優點。例如，截至2023年4月，根據美國人工智慧需求規劃平台Demand Sage共用的報告，到2023年，語音助理的數量將達到42億；預計到2024年，這一數字將增加至84億。這包括 72% 在截至 2023 年的六個月內使用過語音助理的人。因此，對虛擬助理的需求不斷成長將推動雲端人工智慧市場的成長。

汽車行業不斷成長的需求預計將在未來幾年推動雲端人工智慧市場的成長。汽車產業包括涉及汽車設計、開發、製造、行銷和銷售的公司、組織和活動。在汽車領域引入雲端基礎的人工智慧將有助於開發更智慧、更有效率的聯網汽車，在功能、維護和整體用戶體驗方面為製造商和用戶帶來各種好處。截至2023年5月，歐洲汽車工業協會報告稱， 與前一年同期比較全球汽車產量將達到8,540萬輛，較去年同期大幅成長5.7%。此外，英國品牌評估公司Brand Finance在2022年2月指出，2022年汽車產業銷售量約7,800萬輛，大幅成長10%。因此，汽車行業不斷成長的需求將推動雲端人工智慧市場的成長。

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

  • 市場促進因素/市場抑制因素
    • 市場促進因素
    • 市場限制因素
  • 2018-2023 年市場規模與成長表現
  • 2023-2028、2033 年市場規模與成長預測

第6章市場區隔

  • 全球雲端人工智慧市場，按類型細分、實際和預測，2018-2023、2023-2028、2033
  • 解決方案
  • 服務
  • 全球雲端人工智慧市場，依技術細分、實際和預測，2018-2023、2023-2028、2033
  • 深度學習
  • 機器學習
  • 自然語言處理
  • 其他
  • 全球雲端人工智慧市場，按最終用戶產業細分，實際和預測，2018-2023、2023-2028、2033
  • 銀行、金融服務和保險 (BFSI)
  • 衛生保健
  • 車
  • 零售
  • 政府
  • 教育
  • 其他

第 7 章 區域與國家分析

  • 全球雲端人工智慧市場，按地區、實際和預測，2018-2023、2023-2028、2033
  • 全球雲端人工智慧市場，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 競爭形勢及公司概況

  • 雲端AI市場競爭形勢
  • 雲端AI市場公司概況
    • Amazon Web Services Inc.
    • MicroStrategy Incorporated
    • Apple Inc.
    • Microsoft Corporation
    • Google LLC

第31章 其他大型創新公司

  • Huawei Cloud
  • Intel Corporation
  • Accenture PLC
  • International Business Machines Corporation（IBM）
  • Cisco Systems Inc.
  • Oracle Corporation
  • Salesforce Inc.
  • SoundHound Inc.
  • Tata Consultancy Services
  • Nvidia Corporation
  • Capgemini SE
  • Baidu Inc.
  • Cognizant Technology Solutions Corporation
  • Infosys Limited
  • ZTE Corp.

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: r14165

Cloud AI involves harnessing artificial intelligence (AI) capabilities and technologies delivered through cloud computing platforms. This entails utilizing the computational power and resources provided by cloud infrastructure to execute AI tasks, enabling businesses to access AI (artificial intelligence) and ML (machine learning) without the need to construct or maintain their own infrastructure.

The primary types of cloud AI are solutions and services. Cloud AI solutions involve the use of cloud computing infrastructure and AI technologies to address specific business challenges or fulfill particular needs. This encompasses various technologies such as deep learning, machine learning, natural language processing, and others. The main end-users of cloud AI include industries such as banking, financial services, and insurance (BFSI), healthcare, automotive, retail, government, education, and others.

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

The cloud ai market size has grown exponentially in recent years. It will grow from $59.49 billion in 2023 to $82.02 billion in 2024 at a compound annual growth rate (CAGR) of 37.9%. The expansion observed in the historical period can be attributed to the growth of computational power and its increased affordability, the development of readily available AI models, the emergence of big data and data analytics, and the rising demands for automation and optimization.

The cloud ai market size is expected to see exponential growth in the next few years. It will grow to $301.2 billion in 2028 at a compound annual growth rate (CAGR) of 38.4%. The anticipated growth in the forecast period can be attributed to the growing adoption of hybrid and multi-cloud strategies, an increased emphasis on edge computing, a growing focus on transparency, and the rise of AI-powered applications across diverse industries. Major trends in the forecast period include integration with IoT, strategic collaborations, investments by key players, and technological advancements.

The anticipated surge in demand for virtual assistants is set to drive the growth of the cloud AI market in the future. Virtual assistants, also known as voice assistants or digital assistants, leverage artificial intelligence (AI) technologies to offer users interactive and personalized assistance. They are designed to comprehend and respond to user queries, perform tasks, and provide relevant information or services. Cloud AI is commonly utilized to power virtual assistants, enhancing their capabilities and enabling businesses to build, train, deploy, and manage AI models at scale. This approach brings benefits such as scalability, reliability, security, and cost-effectiveness. For example, as of April 2023, reports shared by Demand Sage, a US-based AI-powered demand planning platform, indicate that there will be 4.2 billion voice assistants by 2023, and this number is projected to increase to 8.4 billion in 2024, encompassing 72% of individuals who utilized voice assistants in the preceding six months of 2023. Therefore, the increasing demand for virtual assistants propels the growth of the cloud AI market.

The escalating demand in the automotive industry is expected to drive the growth of the cloud AI market in the coming years. The automotive industry encompasses companies, organizations, and activities involved in the design, development, manufacturing, marketing, and sale of motor vehicles. The adoption of cloud-based AI in the automotive sector contributes to the creation of more intelligent, efficient, and connected vehicles, offering manufacturers and users various benefits in terms of functionality, maintenance, and overall user experience. As of May 2023, the European Automobile Manufacturers Association reports that the global production of motor vehicles in 2022 reached 85.4 million units, reflecting a notable increase of 5.7% compared to the previous year. Moreover, in February 2022, Brand Finance plc, a UK-based brand valuation company, notes that the automobile sector achieved approximately 78 million unit sales in 2022, marking a substantial 10% increase. Therefore, the increasing demand in the automotive industry is poised to drive the growth of the cloud AI market.

Innovative AI cloud services emerge as a prominent trend gaining traction in the cloud AI market, with major companies concentrating on developing inventive AI cloud services to maintain their market positions. For instance, as of March 2023, NVIDIA Corporation, a US-based software company, launched DGX Cloud, a novel AI supercomputing cloud service. This technology solution empowers businesses to run AI workloads at scale and speed while accessing the latest AI technologies. Equipped with powerful GPUs, DGX Cloud allows companies to access their AI supercomputers through a simple online browser, eliminating the need for purchasing, deploying, and operating on-premises hardware. Additionally, this cloud service provides scalability, reliability, security, and cost-effectiveness. Overall, DGX Cloud stands as a versatile and powerful cloud AI supercomputer service, making it a compelling choice for businesses of all sizes.

Major companies in the cloud AI market are dedicated to developing innovative solutions, offering AI supercomputing-as-a-service to gain a competitive edge. AI supercomputing-as-a-service (AI SaaS) refers to a cloud-based service model providing access to high-performance computing resources specifically tailored for artificial intelligence (AI) workloads. As of November 2023, NeevCloud, an India-based cloud infrastructure company, introduced AI supercloud with the aim of making supercomputing and AI more accessible to Indian startups and businesses. This AI supercomputing-as-a-service model seeks to democratize access to AI and supercomputing, ultimately boosting India's global IT standing. With the world's lowest pricing for Cloud GPUs at $1.69/hour, representing a 50% cost reduction, the AI supercloud offers an affordable solution.

In July 2023, DigitalOcean Holdings Inc., a US-based software company, completed the acquisition of Paperspace for $111 million. This strategic move enables DigitalOcean Holdings Inc. to expand its cloud computing and AI offerings, gain access to Paperspace's customer base, and enhance its competitiveness in the cloud computing market. Paperspace is a US-based provider of cloud AI services, aiming to make cloud computing more accessible.

Major companies operating in the cloud ai market report are Amazon Web Services Inc., MicroStrategy Incorporated, Apple Inc., Microsoft Corporation, Google LLC, Huawei Cloud, Intel Corporation, Accenture PLC, International Business Machines Corporation (IBM), Cisco Systems Inc., Oracle Corporation, Salesforce Inc., SoundHound Inc., Tata Consultancy Services, Nvidia Corporation, Capgemini SE, Baidu Inc., Cognizant Technology Solutions Corporation, Infosys Limited, ZTE Corp., DXC Technology, Atos SE, HCL Technologies, Wipro Ltd., Twilio Inc., Nuance Communications Inc., Verint Systems Inc., DataRobot Inc., H2O.ai.

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

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

The cloud AI market consists of revenues earned by entities by providing cloud AI services such as AI model training and deployment, pre-built AI models, computer vision services, data storage and management, AI-enabled APIs and services, and automated machine learning services. 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 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 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 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.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for cloud 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 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 Type: Solution; Service
  • 2) By Technology: Deep Learning; Machine Learning; Natural Language Processing; Other Technologies
  • 3) By End-User Vertical: Banking Financial Services And Insurance (BFSI); Healthcare; Automotive; Retail; Government; Education; Other End-User Verticals
  • Companies Mentioned: Amazon Web Services Inc.; MicroStrategy Incorporated; Apple Inc.; Microsoft Corporation; Google LLC
  • 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 AI Market Characteristics

3. Cloud AI Market Trends And Strategies

4. Cloud 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 AI Market Size and Growth

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

6. Cloud AI Market Segmentation

  • 6.1. Global Cloud AI Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Solution
  • Service
  • 6.2. Global Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Deep Learning
  • Machine Learning
  • Natural Language Processing
  • Other Technologies
  • 6.3. Global Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Banking Financial Services And Insurance (BFSI)
  • Healthcare
  • Automotive
  • Retail
  • Government
  • Education
  • Other End-User Verticals

7. Cloud AI Market Regional And Country Analysis

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

8. Asia-Pacific Cloud AI Market

  • 8.1. Asia-Pacific Cloud 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 AI Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China Cloud AI Market

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

10. India Cloud AI Market

  • 10.1. India Cloud AI Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan Cloud AI Market

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

12. Australia Cloud AI Market

  • 12.1. Australia Cloud AI Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia Cloud AI Market

  • 13.1. Indonesia Cloud AI Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea Cloud AI Market

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

15. Western Europe Cloud AI Market

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

16. UK Cloud AI Market

  • 16.1. UK Cloud AI Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany Cloud AI Market

  • 17.1. Germany Cloud AI Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France Cloud AI Market

  • 18.1. France Cloud AI Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy Cloud AI Market

  • 19.1. Italy Cloud AI Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain Cloud AI Market

  • 20.1. Spain Cloud AI Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe Cloud AI Market

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

22. Russia Cloud AI Market

  • 22.1. Russia Cloud AI Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America Cloud AI Market

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

24. USA Cloud AI Market

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

25. Canada Cloud AI Market

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

26. South America Cloud AI Market

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

27. Brazil Cloud AI Market

  • 27.1. Brazil Cloud AI Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East Cloud AI Market

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

29. Africa Cloud AI Market

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

30. Cloud AI Market Competitive Landscape And Company Profiles

  • 30.1. Cloud AI Market Competitive Landscape
  • 30.2. Cloud AI Market Company Profiles
    • 30.2.1. Amazon Web Services Inc.
      • 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. MicroStrategy Incorporated
      • 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. Apple Inc.
      • 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. Microsoft Corporation
      • 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. Google LLC
      • 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 AI Market Other Major And Innovative Companies

  • 31.1. Huawei Cloud
  • 31.2. Intel Corporation
  • 31.3. Accenture PLC
  • 31.4. International Business Machines Corporation (IBM)
  • 31.5. Cisco Systems Inc.
  • 31.6. Oracle Corporation
  • 31.7. Salesforce Inc.
  • 31.8. SoundHound Inc.
  • 31.9. Tata Consultancy Services
  • 31.10. Nvidia Corporation
  • 31.11. Capgemini SE
  • 31.12. Baidu Inc.
  • 31.13. Cognizant Technology Solutions Corporation
  • 31.14. Infosys Limited
  • 31.15. ZTE Corp.

32. Global Cloud AI Market Competitive Benchmarking

33. Global Cloud AI Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Cloud AI Market

35. Cloud AI Market Future Outlook and Potential Analysis

  • 35.1 Cloud AI Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 Cloud AI Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 Cloud 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