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市場調査レポート
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1669494

クラウドAIの世界市場レポート 2025

Cloud AI Global Market Report 2025


出版日
ページ情報
英文 200 Pages
納期
2~10営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=143.57円
クラウドAIの世界市場レポート 2025
出版日: 2025年02月28日
発行: The Business Research Company
ページ情報: 英文 200 Pages
納期: 2~10営業日
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  • 概要
  • 目次
概要

クラウドAI市場規模は、今後数年で飛躍的な成長が見込まれます。2029年の年間平均成長率(CAGR)は40.5%で、4,285億9,000万米ドルに成長します。予測期間の成長は、ハイブリッドおよびマルチクラウド戦略の採用拡大、エッジコンピューティングの採用拡大、透明性への注目の高まり、多様な業界におけるAIを活用したアプリケーションの台頭などに起因すると考えられます。予測期間の主な動向には、iotとの統合、戦略的提携、主要企業による投資、技術進歩などが含まれます。

バーチャルアシスタントの需要急増が予想され、今後のクラウドAI市場の成長を牽引します。バーチャルアシスタントは、音声アシスタントやデジタルアシスタントとも呼ばれ、人工知能(AI)技術を活用して、ユーザーにインタラクティブでパーソナライズされた支援を提供します。ユーザーの問い合わせを理解し、応答し、タスクを実行し、関連する情報やサービスを提供するように設計されています。クラウドAIは一般的にバーチャルアシスタントに利用され、その機能を強化し、企業がAIモデルを大規模に構築、訓練、展開、管理できるようにします。このアプローチは、スケーラビリティ、信頼性、セキュリティ、費用対効果などのメリットをもたらします。例えば、米国を拠点とするAIを活用した需要計画プラットフォームであるDemand Sage社が2023年4月時点で共有したレポートによると、2023年までに音声アシスタントは42億人になり、この数は2024年には84億人に増加し、2023年の直前6カ月間に音声アシスタントを利用した個人の72%を包含すると予測されています。そのため、バーチャルアシスタントに対する需要の高まりが、クラウドAI市場の成長を後押ししています。

自動車産業における需要の高まりは、今後数年間のクラウドAI市場の成長を促進すると予想されます。自動車産業には、自動車の設計、開発、製造、マーケティング、販売に携わる企業、組織、活動が含まれます。自動車分野におけるクラウドベースのAIの採用は、よりインテリジェントで効率的なコネクテッドカーの実現に貢献し、機能性、メンテナンス性、全体的なユーザーエクスペリエンスの面で、メーカーとユーザーにさまざまなメリットを提供します。2023年5月現在、欧州自動車工業会の報告によると、2022年の世界自動車生産台数は8,540万台に達し、前年比5.7%増と顕著な伸びを示しました。さらに、2022年2月、英国のブランド評価会社であるBrand Finance plcは、2022年の自動車セクターの販売台数は約7,800万台に達し、大幅に10%増加したと指摘しています。したがって、自動車産業における需要の増加は、クラウドAI市場の成長を促進する態勢を整えています。

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 市場:金利、インフレ、地政学、コロナ禍、回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界の成長分析と戦略分析フレームワーク

  • 世界クラウドAI PESTEL分析(政治、社会、技術、環境、法的要因、促進要因、抑制要因)
  • 最終用途産業の分析
  • 世界のクラウドAI市場:成長率分析
  • 世界のクラウドAI市場の実績:規模と成長, 2019-2024
  • 世界のクラウドAI市場の予測:規模と成長, 2024-2029, 2034F
  • 世界クラウドAI総アドレス可能市場(TAM)

第6章 市場セグメンテーション

  • 世界のクラウドAI市場:タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • ソリューション
  • サービス
  • 世界のクラウドAI市場:技術別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • ディープラーニング
  • 機械学習
  • 自然言語処理
  • その他のテクノロジー
  • 世界のクラウドAI市場エンドユーザー別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 銀行金融サービスおよび保険(BFSI)
  • ヘルスケア
  • 自動車
  • 小売り
  • 政府
  • 教育
  • その他のエンドユーザー分野
  • 世界のクラウドAI市場、ソリューションのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • AIプラットフォーム
  • 機械学習ソリューション
  • 自然言語処理(NLP)ソリューション
  • コンピュータビジョンソリューション
  • ロボティクス・プロセス・オートメーション(RPA)
  • 世界のクラウドAI市場、サービスの種類別のサブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
  • AIコンサルティングサービス
  • AI統合サービス
  • マネージドAIサービス
  • サポートおよびメンテナンスサービス

第7章 地域別・国別分析

  • 世界のクラウドAI市場:地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 世界のクラウドAI市場:国別、実績と予測, 2019-2024, 2024-2029F, 2034F

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

  • クラウドAI市場:競合情勢
  • クラウドAI市場:企業プロファイル
    • Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • MicroStrategy Incorporated Overview, Products and Services, Strategy and Financial Analysis
    • Apple Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Google LLC Overview, Products and Services, Strategy and Financial Analysis

第31章 その他の大手企業と革新的企業

  • 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 世界の市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 最近の市場動向

第35章 市場の潜在力が高い国、セグメント、戦略

  • クラウドAI市場2029:新たな機会を提供する国
  • クラウドAI市場2029:新たな機会を提供するセグメント
  • クラウドAI市場2029:成長戦略
    • 市場動向に基づく戦略
    • 競合の戦略

第36章 付録

目次
Product Code: r24803

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 $80.56 billion in 2024 to $109.94 billion in 2025 at a compound annual growth rate (CAGR) of 36.5%. The growth in the historic period can be attributed to growing computational power and affordability, development of readily available ai models, emergence of big data and data analytics, increased automation and optimization demands

The cloud AI market size is expected to see exponential growth in the next few years. It will grow to $428.59 billion in 2029 at a compound annual growth rate (CAGR) of 40.5%. The growth in the forecast period can be attributed to growing adoption of hybrid and multi-cloud strategies, increased adoption of edge computing, growing focus on transparency, rise of ai-powered applications in diverse industries. Major trends in the forecast period include integration with iot, strategic collaborations, investments by key players, 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 include 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 2024. 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 2025 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.

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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 forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

  • 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
  • Subsegments:
  • 1) By Solution: AI Platforms; Machine Learning Solutions; Natural Language Processing (NLP) Solutions; Computer Vision Solutions; Robotics Process Automation (RPA)
  • 2) By Service: AI Consulting Services; AI Integration Services; Managed AI Services; Support And Maintenance Services
  • 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 including the impact of Interest Rates, Inflation, Geopolitics and Covid And Recovery on the Market

5. Global Cloud AI Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Cloud AI PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Cloud AI Market Growth Rate Analysis
  • 5.4. Global Cloud AI Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Cloud AI Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Cloud AI Total Addressable Market (TAM)

6. Cloud AI Market Segmentation

  • 6.1. Global Cloud AI Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Solution
  • Service
  • 6.2. Global Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Deep Learning
  • Machine Learning
  • Natural Language Processing
  • Other Technologies
  • 6.3. Global Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Banking Financial Services And Insurance (BFSI)
  • Healthcare
  • Automotive
  • Retail
  • Government
  • Education
  • Other End-User Verticals
  • 6.4. Global Cloud AI Market, Sub-Segmentation Of Solution, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • AI Platforms
  • Machine Learning Solutions
  • Natural Language Processing (NLP) Solutions
  • Computer Vision Solutions
  • Robotics Process Automation (RPA)
  • 6.5. Global Cloud AI Market, Sub-Segmentation Of Service, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • AI Consulting Services
  • AI Integration Services
  • Managed AI Services
  • Support And Maintenance Services

7. Cloud AI Market Regional And Country Analysis

  • 7.1. Global Cloud AI Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Cloud AI Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Cloud AI Market

  • 8.1. Asia-Pacific Cloud AI Market Overview
  • Region Information, 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Cloud AI Market

  • 10.1. India Cloud AI Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Cloud AI Market

  • 12.1. Australia Cloud AI Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Cloud AI Market

  • 13.1. Indonesia Cloud AI Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Cloud AI Market

  • 16.1. UK Cloud AI Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Cloud AI Market

  • 17.1. Germany Cloud AI Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Cloud AI Market

  • 18.1. France Cloud AI Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Cloud AI Market

  • 19.1. Italy Cloud AI Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Cloud AI Market

  • 20.1. Spain Cloud AI Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Cloud AI Market

  • 22.1. Russia Cloud AI Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Cloud AI Market

  • 27.1. Brazil Cloud AI Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Cloud AI Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Cloud AI Market, Segmentation By End-User Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. MicroStrategy Incorporated Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Apple Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Google LLC Overview, Products and Services, Strategy and Financial Analysis

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 And Dashboard

33. Key Mergers And Acquisitions In The Cloud AI Market

34. Recent Developments In The Cloud AI Market

35. Cloud AI Market High Potential Countries, Segments and Strategies

  • 35.1 Cloud AI Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Cloud AI Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Cloud AI Market In 2029 - 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