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市場調查報告書
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1877569

2025年雲端增強智慧全球市場報告

Cloud Augmented Intelligence Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

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簡介目錄

近年來，雲端增強智慧市場發展迅猛，預計將從2024年的120.3億美元成長到2025年的140.2億美元，複合年成長率達16.5%。過去幾年的成長可歸因於多種因素，例如資料量和可用性的增加、對即時決策日益成長的需求、對經濟高效的人工智慧和機器學習工具的需求不斷成長、各行業數位轉型的推進以及業務流程自動化程度的提高。

預計未來幾年，雲端增強智慧市場將快速成長，到2029年市場規模將達到235億美元，複合年成長率（CAGR）為16.1%。預測期內的成長要素包括：人工智慧和機器學習研發投入的增加、中小企業雲端採用率的提高、監管機構對人工智慧雲端服務的支持力度加大、對可解釋和可信賴人工智慧的需求不斷成長，以及日益成長的數據安全擔憂推動了先進雲端安全解決方案的發展。預測期內的主要趨勢包括：即時數據處理和分析技術的進步、雲端增強智慧與物聯網和邊緣運算的日益融合、對人工智慧即服務平台創新投入的增加、自然語言處理和電腦視覺模型的進步，以及永續和環保型雲端基礎設施的創新。

預計未來幾年，雲端運算服務的日益普及將推動雲端增強智慧市場的成長。雲端運算服務是一種線上平台，允許個人和企業透過網路儲存資料、運行應用程式並存取運算能力，而無需依賴本地伺服器或個人電腦。雲端運算服務的普及率不斷提高，是因為它們能夠以經濟高效且擴充性的方式提供運算資源，而無需昂貴的本地基礎設施。雲端運算服務中的雲端增強智慧將人工智慧驅動的數據分析與擴充性的雲端基礎設施相結合，從而提供更快、更先進的洞察，並增強人類的決策能力。例如，根據美國科技公司微軟預測，截至2023年4月，澳洲的公共雲端支出預計將成長83%，從2022年的約73億美元（122億澳元）增加至2026年的約134億美元（224億澳元）。因此，雲端運算服務的日益普及正在推動雲端增強智慧市場的成長。

雲端增強智慧市場的主要企業正專注於技術進步，例如開發用於雲端加速的客製化AI和通用晶片，以提高運算效率、最佳化AI和通用工作負載，並在Azure雲端平台上實現高效能處理。客製化AI和通用晶片將AI專用加速器與通用處理器整合，從而提升雲端運算的效能、效率和可擴展性。例如，2023年11月，美國科技公司微軟發布了Maia 100 AI加速器和Cobolt 100 CPU，這是其首款旨在解決雲端基礎AI和通用運算挑戰的客製化矽晶片。 Maia 100採用5nm製程製造，配備64GB HBM2E內存，並針對大規模AI工作負載進行了最佳化。同時，基於Arm Neoverse N2架構的Cobolt 100 CPU則增強了標準運算效能。這些功能的結合為AI驅動的雲端應用提供了可擴展、高效且高效能的處理能力。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅，以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球雲端增強智慧市場：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素與限制因素）
  • 終端用戶產業分析
  • 全球雲端增強智慧市場：成長率分析
  • 全球雲端增強智慧市場表現：規模與成長，2019-2024年
  • 全球雲端增強智慧市場預測：規模與成長，2024-2029年，2034年預測
  • 全球雲端增強智慧市場：潛在市場規模 (TAM)

第6章 市場細分

  • 全球雲端增強智慧市場：按組件分類，實際值和預測值，2019-2024 年、2024-2029 年預測值、2034 年預測值
  • 軟體
  • 硬體
  • 服務
  • 全球雲端增強智慧市場：依技術、效能和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 機器學習
  • 自然語言處理（NLP）
  • 電腦視覺
  • 預測分析
  • 數據分析
  • 全球雲端增強智慧市場：依部署模式分類，實際結果與預測，2019-2024年、2024-2029年預測、2034年預測
  • 公共雲端
  • 私有雲端
  • 混合雲端
  • 全球雲端增強智慧市場：依組織規模分類，實際結果與預測，2019-2024 年、2024-2029 年預測、2034 年預測
  • 中小企業
  • 主要企業
  • Start-Ups公司
  • 全球雲端增強智慧市場：依最終用戶分類，實際值和預測值，2019-2024 年、2024-2029 年預測值、2034 年預測值
  • 銀行、金融服務和保險（BFSI）
  • 衛生保健
  • 零售與電子商務
  • 媒體與娛樂
  • 製造業
  • 資訊科技與通訊
  • 其他最終用戶
  • 全球雲端增強智慧市場：依軟體、類型、實際值及預測值細分，2019-2024年、2024-2029年預測值、2034年預測值
  • 機器學習平台
  • 自然語言處理（NLP）
  • 電腦視覺
  • 語音辨識
  • 認知分析
  • 人工智慧（AI）模型管理平台
  • 全球雲端增強智慧市場：按硬體、類型、效能和預測進行細分，2019-2024 年、2024-2029 年預測、2034 年預測
  • 人工智慧（AI）加速器
  • 儲存系統
  • 網路裝置
  • 高效能運算（HPC）系統
  • 邊緣設備
  • 全球雲端增強智慧市場：按服務、類型、效能和預測細分，2019-2024 年、2024-2029 年預測、2034 年預測
  • 專業服務
  • 託管服務
  • 培訓和支持
  • 雲端基礎設施服務
  • 人工智慧即服務 (AIaaS)

第7章 區域和國家分析

  • 全球雲端增強智慧市場：按地區、效能和預測分類，2019-2024 年、2024-2029 年預測、2034 年預測
  • 全球雲端增強智慧市場：國家、效能與預測，2019-2024 年、2024-2029 年預測、2034 年預測

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章：俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 雲端增強智慧市場：競爭格局
  • 雲端增強智慧市場：公司概況
    • Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Amazon Web Services Inc.（AWS）Overview, Products and Services, Strategy and Financial Analysis
    • Accenture plc Overview, Products and Services, Strategy and Financial Analysis
    • International Business Machines Corporation（IBM）Overview, Products and Services, Strategy and Financial Analysis

第31章：其他領先和創新企業

  • Cisco Systems Inc.
  • Intel Corporation
  • SAP SE
  • Tata Consultancy Services Limited（TCS）
  • Hewlett Packard Enterprise Development LP（HPE）
  • Fujitsu Limited
  • Cognizant Technology Solutions Corporation
  • Infosys Limited
  • Wipro Limited
  • SAS Institute Inc.
  • Informatica Inc.
  • WNS（Holdings）Limited
  • MicroStrategy Incorporated
  • Sisense Inc.
  • Tecnotree Corporation

第32章 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章：高潛力市場國家、細分市場與策略

  • 2029年雲端增強智慧市場：提供新機會的國家
  • 2029年雲端增強智慧市場：新興細分市場機會
  • 2029年雲端增強智慧市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
Product Code: r39154

Cloud augmented intelligence involves integrating artificial intelligence capabilities with cloud computing platforms to enhance decision-making, automation, and data-driven insights. It utilizes scalable cloud infrastructure to handle large volumes of structured and unstructured data in real time. This approach enables organizations to improve efficiency, accuracy, and innovation by combining human intelligence with advanced computational models.

The main components of cloud augmented intelligence are software, hardware, and services. Cloud augmented intelligence software refers to AI-powered platforms and analytics tools hosted on the cloud that enhance human decision-making by combining data processing, predictive analytics, and machine learning models. Cloud augmented intelligence functions through technologies such as machine learning, natural language processing, computer vision, predictive analytics, and data analytics, and can be deployed through public, private, or hybrid cloud models. It serves organizations of all sizes, including small and medium enterprises, large enterprises, and startups, across industries such as banking, financial services and insurance, healthcare, retail and e-commerce, media and entertainment, manufacturing, information technology and telecommunications, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

The cloud augmented intelligence market research report is one of a series of new reports from The Business Research Company that provides cloud augmented intelligence market statistics, including the cloud augmented intelligence industry global market size, regional shares, competitors with the cloud augmented intelligence market share, detailed cloud augmented intelligence market segments, market trends, and opportunities, and any further data you may need to thrive in the cloud augmented intelligence industry. This cloud augmented intelligence 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 augmented intelligence market size has grown rapidly in recent years. It will grow from $12.03 billion in 2024 to $14.02 billion in 2025 at a compound annual growth rate (CAGR) of 16.5%. The growth in the historic period can be attributed to the increasing volume and availability of data, the rising need for real-time decision-making, the growing demand for cost-efficient AI and ML tools, the expansion of digital transformation across industries, and the rising adoption of automation in business processes.

The cloud augmented intelligence market size is expected to see rapid growth in the next few years. It will grow to $23.50 billion in 2029 at a compound annual growth rate (CAGR) of 16.1%. The growth in the forecast period can be attributed to increasing investment in AI and machine learning research, rising cloud adoption by small and medium enterprises, growing regulatory support for AI cloud services, increasing demand for explainable and trustworthy AI, and rising concerns over data security driving the development of advanced cloud security solutions. Major trends in the forecast period include technological advancements in real-time data processing and analytics, progress in integrating cloud augmented intelligence with IoT and edge computing, investment in innovation for AI-as-a-service platforms, advancement in natural language processing and computer vision models, and innovation in sustainable and green cloud infrastructure.

The increasing adoption of cloud computing services is expected to drive the growth of the cloud augmented intelligence market in the coming years. Cloud computing services are online platforms that allow individuals and businesses to store data, run applications, and access computing power over the internet instead of relying on local servers or personal computers. The adoption of cloud computing services is rising as they provide cost-efficient and scalable access to computing resources without the need for expensive on-site infrastructure. Cloud augmented intelligence in cloud computing services enhances human decision-making by combining AI-driven data analysis with scalable cloud infrastructure to deliver faster and smarter insights. For example, in April 2023, according to Microsoft Corporation, a US-based technology company, public cloud spending in Australia is projected to increase by 83%, from approximately $7.3 billion (A$12.2 billion) in 2022 to around $13.4 billion (A$22.4 billion) by 2026. Therefore, the increasing adoption of cloud computing services is driving the growth of the cloud augmented intelligence market.

Major companies in the cloud augmented intelligence market are focusing on technological advancements such as developing custom AI and general-purpose silicon for cloud acceleration to enhance computational efficiency, optimize AI and general workloads, and enable high-performance processing on the Azure cloud platform. Custom AI and general-purpose silicon integrate AI-specific accelerators with general-purpose processors to improve performance, efficiency, and scalability in cloud computing. For instance, in November 2023, Microsoft Corporation, a US-based technology company, introduced its first custom silicon chips, Maia 100 AI accelerator and Cobolt 100 CPU, designed to address challenges in cloud-based AI and general computing. The Maia 100, built on a 5 nm process with 64 GB of HBM2E memory, is optimized for large-scale AI workloads, while the Cobolt 100 CPU, based on Arm Neoverse N2 architecture, enhances standard compute performance. Together, they provide scalable, efficient, and high-performance processing for AI-driven cloud applications.

In March 2025, ServiceNow, a US-based enterprise software company, acquired Moveworks for $2.85 billion. This acquisition aims to strengthen ServiceNow's artificial intelligence automation capabilities, enhance conversational AI and enterprise search solutions, and expand its presence in the mid-market segment. Moveworks is a US-based technology company that specializes in AI-driven employee support platforms, utilizing advanced natural language processing and understanding to effectively handle unstructured text and user queries.

Major players in the cloud augmented intelligence market are Google LLC, Microsoft Corporation, Amazon Web Services Inc. (AWS), Accenture plc, International Business Machines Corporation (IBM), Cisco Systems Inc., Intel Corporation, SAP SE, Tata Consultancy Services Limited (TCS), Hewlett Packard Enterprise Development LP (HPE), Fujitsu Limited, Cognizant Technology Solutions Corporation, Infosys Limited, Wipro Limited, SAS Institute Inc., Informatica Inc., WNS (Holdings) Limited, MicroStrategy Incorporated, Sisense Inc., and Tecnotree Corporation.

North America was the largest region in the cloud augmented intelligence market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in cloud augmented intelligence report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

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

The cloud augmented intelligence market consists of revenues earned by entities by providing services such as cloud artificial intelligence consulting services, data integration and migration services, artificial intelligence model training and optimization services, managed artificial intelligence-as-a-service (AIaaS), and cloud security and compliance services for artificial intelligence. The market value includes the value of related goods sold by the service provider or included within the service offering. The cloud augmented intelligence market includes sales of cloud-based recommendation engines, artificial intelligence-powered virtual assistants, fraud detection platforms, predictive maintenance systems, and cognitive document processing tools. 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 Augmented Intelligence 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 augmented intelligence 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 augmented intelligence ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The cloud augmented intelligence 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • 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.
  • 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 Component: Software; Hardware; Services
  • 2) By Technology: Machine Learning; Natural Language Processing (NLP); Computer Vision; Predictive Analytics; Data Analytics
  • 3) By Deployment Mode: Public Cloud; Private Cloud; Hybrid Cloud
  • 4) By Size Of Organization: Small And Medium Enterprises (SMEs); Large Enterprises; Startups
  • 5) By End-User: Banking, Financial Services, And Insurance (BFSI); Healthcare; Retail And E-Commerce; Media And Entertainment; Manufacturing; Information Technology And Telecommunications; Other End-Users
  • Subsegment:
  • 1) By Software: Machine Learning Platforms; Natural Language Processing (NLP); Computer Vision; Speech Recognition; Cognitive Analytics; Artificial Intelligence (AI) Model Management Platforms
  • 2) By Hardware: Artificial Intelligence (AI) Accelerators; Storage Systems; Networking Equipment; High-Performance Computing (HPC) Systems; Edge Devices
  • 3) By Services: Professional Services; Managed Services; Training And Support; Cloud Infrastructure Services; Artificial Intelligence (AI)-As-A-Service (AIaaS)
  • Companies Mentioned: Google LLC; Microsoft Corporation; Amazon Web Services Inc. (AWS); Accenture plc; International Business Machines Corporation (IBM); Cisco Systems Inc.; Intel Corporation; SAP SE; Tata Consultancy Services Limited (TCS); Hewlett Packard Enterprise Development LP (HPE); Fujitsu Limited; Cognizant Technology Solutions Corporation; Infosys Limited; Wipro Limited; SAS Institute Inc.; Informatica Inc.; WNS (Holdings) Limited; MicroStrategy Incorporated; Sisense Inc.; Tecnotree Corporation.
  • 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 Augmented Intelligence Market Characteristics

3. Cloud Augmented Intelligence Market Trends And Strategies

4. Cloud Augmented Intelligence Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Cloud Augmented Intelligence Growth Analysis And Strategic Analysis Framework

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

6. Cloud Augmented Intelligence Market Segmentation

  • 6.1. Global Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Hardware
  • Services
  • 6.2. Global Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Predictive Analytics
  • Data Analytics
  • 6.3. Global Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Public Cloud
  • Private Cloud
  • Hybrid Cloud
  • 6.4. Global Cloud Augmented Intelligence Market, Segmentation By Size Of Organization, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Small And Medium Enterprises (SMEs)
  • Large Enterprises
  • Startups
  • 6.5. Global Cloud Augmented Intelligence Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Banking, Financial Services, And Insurance (BFSI)
  • Healthcare
  • Retail And E-Commerce
  • Media And Entertainment
  • Manufacturing
  • Information Technology And Telecommunications
  • Other End-Users
  • 6.6. Global Cloud Augmented Intelligence Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine Learning Platforms
  • Natural Language Processing (NLP)
  • Computer Vision
  • Speech Recognition
  • Cognitive Analytics
  • Artificial intelligence (AI) Model Management Platforms
  • 6.7. Global Cloud Augmented Intelligence Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Artificial intelligence (AI) Accelerators
  • Storage Systems
  • Networking Equipment
  • High-Performance Computing (HPC) Systems
  • Edge Devices
  • 6.8. Global Cloud Augmented Intelligence Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Professional Services
  • Managed Services
  • Training And Support
  • Cloud Infrastructure Services
  • Artificial intelligence (AI)-As-A-Service (AIaaS)

7. Cloud Augmented Intelligence Market Regional And Country Analysis

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

8. Asia-Pacific Cloud Augmented Intelligence Market

  • 8.1. Asia-Pacific Cloud Augmented Intelligence 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 Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Cloud Augmented Intelligence Market

  • 9.1. China Cloud Augmented Intelligence Market Overview
  • 9.2. China Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Cloud Augmented Intelligence Market

  • 10.1. India Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Cloud Augmented Intelligence Market

  • 11.1. Japan Cloud Augmented Intelligence Market Overview
  • 11.2. Japan Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Cloud Augmented Intelligence Market

  • 12.1. Australia Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Cloud Augmented Intelligence Market

  • 13.1. Indonesia Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Cloud Augmented Intelligence Market

  • 14.1. South Korea Cloud Augmented Intelligence Market Overview
  • 14.2. South Korea Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Cloud Augmented Intelligence Market

  • 15.1. Western Europe Cloud Augmented Intelligence Market Overview
  • 15.2. Western Europe Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Cloud Augmented Intelligence Market

  • 16.1. UK Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Cloud Augmented Intelligence Market

  • 17.1. Germany Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Cloud Augmented Intelligence Market

  • 18.1. France Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Cloud Augmented Intelligence Market

  • 19.1. Italy Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Cloud Augmented Intelligence Market

  • 20.1. Spain Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Cloud Augmented Intelligence Market

  • 21.1. Eastern Europe Cloud Augmented Intelligence Market Overview
  • 21.2. Eastern Europe Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Cloud Augmented Intelligence Market

  • 22.1. Russia Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Cloud Augmented Intelligence Market

  • 23.1. North America Cloud Augmented Intelligence Market Overview
  • 23.2. North America Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Cloud Augmented Intelligence Market

  • 24.1. USA Cloud Augmented Intelligence Market Overview
  • 24.2. USA Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Cloud Augmented Intelligence Market

  • 25.1. Canada Cloud Augmented Intelligence Market Overview
  • 25.2. Canada Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Cloud Augmented Intelligence Market

  • 26.1. South America Cloud Augmented Intelligence Market Overview
  • 26.2. South America Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Cloud Augmented Intelligence Market

  • 27.1. Brazil Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Cloud Augmented Intelligence Market

  • 28.1. Middle East Cloud Augmented Intelligence Market Overview
  • 28.2. Middle East Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Cloud Augmented Intelligence Market

  • 29.1. Africa Cloud Augmented Intelligence Market Overview
  • 29.2. Africa Cloud Augmented Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Cloud Augmented Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Cloud Augmented Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Cloud Augmented Intelligence Market Competitive Landscape And Company Profiles

  • 30.1. Cloud Augmented Intelligence Market Competitive Landscape
  • 30.2. Cloud Augmented Intelligence Market Company Profiles
    • 30.2.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Amazon Web Services Inc. (AWS) Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Accenture plc Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. International Business Machines Corporation (IBM) Overview, Products and Services, Strategy and Financial Analysis

31. Cloud Augmented Intelligence Market Other Major And Innovative Companies

  • 31.1. Cisco Systems Inc.
  • 31.2. Intel Corporation
  • 31.3. SAP SE
  • 31.4. Tata Consultancy Services Limited (TCS)
  • 31.5. Hewlett Packard Enterprise Development LP (HPE)
  • 31.6. Fujitsu Limited
  • 31.7. Cognizant Technology Solutions Corporation
  • 31.8. Infosys Limited
  • 31.9. Wipro Limited
  • 31.10. SAS Institute Inc.
  • 31.11. Informatica Inc.
  • 31.12. WNS (Holdings) Limited
  • 31.13. MicroStrategy Incorporated
  • 31.14. Sisense Inc.
  • 31.15. Tecnotree Corporation

32. Global Cloud Augmented Intelligence Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Cloud Augmented Intelligence Market

34. Recent Developments In The Cloud Augmented Intelligence Market

35. Cloud Augmented Intelligence Market High Potential Countries, Segments and Strategies

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