2025-2029年全球雲端機器學習市場
市場調查報告書
商品編碼
1915689

2025-2029年全球雲端機器學習市場

Global Cloud Machine Learning Market 2025-2029

出版日期: | 出版商: TechNavio | 英文 314 Pages | 訂單完成後即時交付

價格
簡介目錄

全球雲端機器學習市場預計將在2024年至2029年的預測期內成長至514.446億美元,複合年成長率為36.7%。本報告對全球雲端機器學習市場進行了全面分析,包括市場規模和預測、趨勢、成長要素和挑戰,以及對約25家公司的供應商分析。

本報告對當前市場狀況、最新趨勢和促進因素以及整體市場環境進行了最新分析。市場成長的促進因素包括資料量和複雜性的增加、對人工智慧驅動的應用和自動化日益成長的需求,以及雲端平台的成本效益和擴充性。

本研究採用客觀的方法,結合一手和二手訊息,包括來自主要行業相關人員的意見。報告包含全面的市場規模數據、區域細分分析、供應商格局以及對主要企業的分析。報告提供歷史數據和預測數據。

市場覆蓋範圍
基準年 2025
目標期 2029
預測期 2025-2029
成長勢頭 加速度
同比 32.1%
複合年成長率 36.7%
增量 514.446億美元

研究指出,生成式人工智慧的廣泛應用是未來幾年推動全球雲端機器學習市場成長的主要因素之一。此外,機器學習業務的興起以及雲端運算和邊緣運算在人工智慧應用中的整合預計也將為市場帶來巨大的需求。

目錄

第1章執行摘要

第2章 Technavio 分析

  • 價格、生命週期、顧客購買籃、採用率和購買標準分析
  • 投入與差異化因素的重要性
  • 混淆來源
  • 促進因素和挑戰的影響

第3章 市場情勢

  • 市場生態系統
  • 市場特徵
  • 價值鏈分析

第4章 市場規模

  • 市場定義
  • 市場區隔分析
  • 2024年市場規模
  • 2024-2029年市場展望

第5章 市場規模表現

  • 2019-2023年全球雲端機器學習市場
  • 零件細分市場分析 2019-2023
  • 2019-2023年部署細分市場分析
  • 應用細分市場分析 2019-2023
  • 2019-2023年區域細分市場分析
  • 2019-2023年國家細分市場分析

第6章五力分析

  • 五力分析概述
  • 買方的議價能力
  • 供應商的議價能力
  • 新進入者的威脅
  • 替代品的威脅
  • 競爭威脅
  • 市場狀況

7. 按組件進行市場細分

  • 比較:按組件
  • 解決方案
  • 服務
  • 按組件分類的市場機會

8. 依部署方式進行市場區隔

  • 比較:依部署方式
  • 公共雲端
  • 混合雲端
  • 私有雲端
  • 按部署方式分類的市場機會

第9章 按應用進行市場細分

  • 比較:透過應用
  • 行銷與廣告分析
  • 詐欺偵測和風險管理
  • 預測性維護和需求預測
  • 其他
  • 按應用分類的市場機會

第10章 客戶情況

第11章 區域情勢

  • 區域細分
  • 區域比較
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
  • 中東和非洲
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯
    • 南非
    • 以色列
    • 土耳其
  • 各區域的市場機遇

第12章:促進因素、挑戰與機遇

  • 市場促進因素
  • 市場挑戰
  • 促進因素和挑戰的影響
  • 市場機遇

第13章 競爭格局

  • 概述
  • 競爭格局
  • 令人困惑的局面
  • 產業風險

第14章 競爭分析

  • 公司簡介
  • 企業排名指數
  • 公司市場定位
  • Alibaba Group Holding Ltd.
  • Amazon Web Services Inc.
  • Baidu Inc.
  • Cisco Systems Inc.
  • Dell Technologies Inc.
  • Google LLC
  • Hewlett Packard
  • IBM Corp.
  • Microsoft Corp.
  • NVIDIA Corp.
  • Oracle Corp.
  • Salesforce Inc.
  • SAP SE
  • Snowflake Inc.
  • Tencent Holdings Ltd.

第15章附錄

簡介目錄
Product Code: IRTNTR81084

The global cloud machine learning market is forecasted to grow by USD 51444.6 mn during 2024-2029, accelerating at a CAGR of 36.7% during the forecast period. The report on the global cloud machine learning market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by escalating volume and complexity of data, increasing demand for ai-powered applications and automation, compelling cost-effectiveness and scalability of cloud platforms.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Market Scope
Base Year2025
End Year2029
Series Year2025-2029
Growth MomentumAccelerate
YOY 202532.1%
CAGR36.7%
Incremental Value$51444.6 mn

Technavio's global cloud machine learning market is segmented as below:

By Component

  • Solutions
  • Services

By Deployment

  • Public cloud
  • Hybrid cloud
  • Private cloud

By Application

  • Marketing and advertising analytics
  • Fraud detection and risk management
  • Predictive maintenance and demand forecasting
  • Others

Geography

  • North America
    • US
    • Canada
    • Mexico
  • APAC
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Spain
    • The Netherlands
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East and Africa
    • UAE
    • South Africa
    • Turkey
  • Rest of World (ROW)

This study identifies the pervasive integration of generative artificial intelligence as one of the prime reasons driving the global cloud machine learning market growth during the next few years. Also, ascendancy of machine learning operations and convergence of cloud and edge computing for AI applications will lead to sizable demand in the market.

The report on the global cloud machine learning market covers the following areas:

  • Global cloud machine learning market sizing
  • Global cloud machine learning market forecast
  • Global cloud machine learning market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global cloud machine learning market vendors that include Alibaba Group Holding Ltd., Amazon Web Services Inc., Anaconda Inc., Baidu Inc., Cisco Systems Inc., Cloudera Inc., DataRobot Inc., Dell Technologies Inc., Google LLC, Hewlett Packard, IBM Corp., Microsoft Corp., NVIDIA Corp., Open Text Corp., Oracle Corp., Salesforce Inc., SAP SE, Snowflake Inc., Tencent Holdings Ltd., Teradata Corp.. Also, the global cloud machine learning market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

  • 1.1 Market overview
    • Executive Summary - Chart on Market Overview
    • Executive Summary - Data Table on Market Overview
    • Executive Summary - Chart on Global Market Characteristics
    • Executive Summary - Chart on Market by Geography
    • Executive Summary - Chart on Market Segmentation by Component
    • Executive Summary - Chart on Market Segmentation by Deployment
    • Executive Summary - Chart on Market Segmentation by Application
    • Executive Summary - Chart on Incremental Growth
    • Executive Summary - Data Table on Incremental Growth
    • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

  • 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • 2.2 Criticality of inputs and Factors of differentiation
  • 2.3 Factors of disruption
  • 2.4 Impact of drivers and challenges

3 Market Landscape

  • 3.1 Market ecosystem
  • 3.2 Market characteristics
  • 3.3 Value chain analysis

4 Market Sizing

  • 4.1 Market definition
  • 4.2 Market segment analysis
    • Market segments
  • 4.3 Market size 2024
  • 4.4 Market outlook: Forecast for 2024-2029

5 Historic Market Size

  • 5.1 Global Cloud Machine Learning Market 2019 - 2023
    • Historic Market Size - Data Table on Global Cloud Machine Learning Market 2019 - 2023 ($ million)
  • 5.2 Component segment analysis 2019 - 2023
    • Historic Market Size - Component Segment 2019 - 2023 ($ million)
  • 5.3 Deployment segment analysis 2019 - 2023
    • Historic Market Size - Deployment Segment 2019 - 2023 ($ million)
  • 5.4 Application segment analysis 2019 - 2023
    • Historic Market Size - Application Segment 2019 - 2023 ($ million)
  • 5.5 Geography segment analysis 2019 - 2023
    • Historic Market Size - Geography Segment 2019 - 2023 ($ million)
  • 5.6 Country segment analysis 2019 - 2023
    • Historic Market Size - Country Segment 2019 - 2023 ($ million)

6 Five Forces Analysis

  • 6.1 Five forces summary
    • Five forces analysis - Comparison between 2024 and 2029
  • 6.2 Bargaining power of buyers
    • Bargaining power of buyers - Impact of key factors 2024 and 2029
  • 6.3 Bargaining power of suppliers
    • Bargaining power of suppliers - Impact of key factors in 2024 and 2029
  • 6.4 Threat of new entrants
    • Threat of new entrants - Impact of key factors in 2024 and 2029
  • 6.5 Threat of substitutes
    • Threat of substitutes - Impact of key factors in 2024 and 2029
  • 6.6 Threat of rivalry
    • Threat of rivalry - Impact of key factors in 2024 and 2029
  • 6.7 Market condition

7 Market Segmentation by Component

  • 7.1 Market segments
  • 7.2 Comparison by Component
  • 7.3 Solutions - Market size and forecast 2024-2029
  • 7.4 Services - Market size and forecast 2024-2029
  • 7.5 Market opportunity by Component
    • Market opportunity by Component ($ million)

8 Market Segmentation by Deployment

  • 8.1 Market segments
  • 8.2 Comparison by Deployment
  • 8.3 Public cloud - Market size and forecast 2024-2029
  • 8.4 Hybrid cloud - Market size and forecast 2024-2029
  • 8.5 Private cloud - Market size and forecast 2024-2029
  • 8.6 Market opportunity by Deployment
    • Market opportunity by Deployment ($ million)

9 Market Segmentation by Application

  • 9.1 Market segments
  • 9.2 Comparison by Application
  • 9.3 Marketing and advertising analytics - Market size and forecast 2024-2029
  • 9.4 Fraud detection and risk management - Market size and forecast 2024-2029
  • 9.5 Predictive maintenance and demand forecasting - Market size and forecast 2024-2029
  • 9.6 Others - Market size and forecast 2024-2029
  • 9.7 Market opportunity by Application
    • Market opportunity by Application ($ million)

10 Customer Landscape

  • 10.1 Customer landscape overview
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

11 Geographic Landscape

  • 11.1 Geographic segmentation
  • 11.2 Geographic comparison
  • 11.3 North America - Market size and forecast 2024-2029
    • 11.3.1 US - Market size and forecast 2024-2029
    • 11.3.2 Canada - Market size and forecast 2024-2029
    • 11.3.3 Mexico - Market size and forecast 2024-2029
  • 11.4 APAC - Market size and forecast 2024-2029
    • 11.4.1 China - Market size and forecast 2024-2029
    • 11.4.2 Japan - Market size and forecast 2024-2029
    • 11.4.3 India - Market size and forecast 2024-2029
    • 11.4.4 South Korea - Market size and forecast 2024-2029
    • 11.4.5 Australia - Market size and forecast 2024-2029
    • 11.4.6 Indonesia - Market size and forecast 2024-2029
  • 11.5 Europe - Market size and forecast 2024-2029
    • 11.5.1 Germany - Market size and forecast 2024-2029
    • 11.5.2 UK - Market size and forecast 2024-2029
    • 11.5.3 France - Market size and forecast 2024-2029
    • 11.5.4 Italy - Market size and forecast 2024-2029
    • 11.5.5 Spain - Market size and forecast 2024-2029
    • 11.5.6 The Netherlands - Market size and forecast 2024-2029
  • 11.6 South America - Market size and forecast 2024-2029
    • 11.6.1 Brazil - Market size and forecast 2024-2029
    • 11.6.2 Argentina - Market size and forecast 2024-2029
    • 11.6.3 Colombia - Market size and forecast 2024-2029
  • 11.7 Middle East and Africa - Market size and forecast 2024-2029
    • 11.7.1 UAE - Market size and forecast 2024-2029
    • 11.7.2 Saudi Arabia - Market size and forecast 2024-2029
    • 11.7.3 South Africa - Market size and forecast 2024-2029
    • 11.7.4 Israel - Market size and forecast 2024-2029
    • 11.7.5 Turkey - Market size and forecast 2024-2029
  • 11.8 Market opportunity by geography
    • Market opportunity by geography ($ million)
    • Data Tables on Market opportunity by geography ($ million)

12 Drivers, Challenges, and Opportunity

  • 12.1 Market drivers
    • Escalating volume and complexity of data
    • Increasing demand for AI-powered applications and automation
    • Compelling cost-effectiveness and scalability of cloud platforms
  • 12.2 Market challenges
    • Data privacy, security, and governance complexities
    • Persistent shortage of skilled professionals
    • Managing escalating costs and demonstrating return on investment
  • 12.3 Impact of drivers and challenges
    • Impact of drivers and challenges in 2024 and 2029
  • 12.4 Market opportunities
    • Pervasive integration of generative artificial intelligence
    • Ascendancy of machine learning operations
    • Convergence of cloud and edge computing for AI applications

13 Competitive Landscape

  • 13.1 Overview
  • 13.2 Competitive Landscape
    • Overview on criticality of inputs and factors of differentiation
  • 13.3 Landscape disruption
    • Overview on factors of disruption
  • 13.4 Industry risks
    • Impact of key risks on business

14 Competitive Analysis

  • 14.1 Companies profiled
    • Companies covered
  • 14.2 Company ranking index
    • Company ranking index
  • 14.3 Market positioning of companies
    • Matrix on companies position and classification
  • 14.4 Alibaba Group Holding Ltd.
    • Alibaba Group Holding Ltd. - Overview
    • Alibaba Group Holding Ltd. - Business segments
    • Alibaba Group Holding Ltd. - Key news
    • Alibaba Group Holding Ltd. - Key offerings
    • Alibaba Group Holding Ltd. - Segment focus
    • SWOT
  • 14.5 Amazon Web Services Inc.
    • Amazon Web Services Inc. - Overview
    • Amazon Web Services Inc. - Product / Service
    • Amazon Web Services Inc. - Key news
    • Amazon Web Services Inc. - Key offerings
    • SWOT
  • 14.6 Baidu Inc.
    • Baidu Inc. - Overview
    • Baidu Inc. - Business segments
    • Baidu Inc. - Key offerings
    • Baidu Inc. - Segment focus
    • SWOT
  • 14.7 Cisco Systems Inc.
    • Cisco Systems Inc. - Overview
    • Cisco Systems Inc. - Business segments
    • Cisco Systems Inc. - Key news
    • Cisco Systems Inc. - Key offerings
    • Cisco Systems Inc. - Segment focus
    • SWOT
  • 14.8 Dell Technologies Inc.
    • Dell Technologies Inc. - Overview
    • Dell Technologies Inc. - Business segments
    • Dell Technologies Inc. - Key news
    • Dell Technologies Inc. - Key offerings
    • Dell Technologies Inc. - Segment focus
    • SWOT
  • 14.9 Google LLC
    • Google LLC - Overview
    • Google LLC - Product / Service
    • Google LLC - Key offerings
    • SWOT
  • 14.10 Hewlett Packard
    • Hewlett Packard - Overview
    • Hewlett Packard - Business segments
    • Hewlett Packard - Key news
    • Hewlett Packard - Key offerings
    • Hewlett Packard - Segment focus
    • SWOT
  • 14.11 IBM Corp.
    • IBM Corp. - Overview
    • IBM Corp. - Business segments
    • IBM Corp. - Key news
    • IBM Corp. - Key offerings
    • IBM Corp. - Segment focus
    • SWOT
  • 14.12 Microsoft Corp.
    • Microsoft Corp. - Overview
    • Microsoft Corp. - Business segments
    • Microsoft Corp. - Key news
    • Microsoft Corp. - Key offerings
    • Microsoft Corp. - Segment focus
    • SWOT
  • 14.13 NVIDIA Corp.
    • NVIDIA Corp. - Overview
    • NVIDIA Corp. - Business segments
    • NVIDIA Corp. - Key news
    • NVIDIA Corp. - Key offerings
    • NVIDIA Corp. - Segment focus
    • SWOT
  • 14.14 Oracle Corp.
    • Oracle Corp. - Overview
    • Oracle Corp. - Business segments
    • Oracle Corp. - Key news
    • Oracle Corp. - Key offerings
    • Oracle Corp. - Segment focus
    • SWOT
  • 14.15 Salesforce Inc.
    • Salesforce Inc. - Overview
    • Salesforce Inc. - Product / Service
    • Salesforce Inc. - Key news
    • Salesforce Inc. - Key offerings
    • SWOT
  • 14.16 SAP SE
    • SAP SE - Overview
    • SAP SE - Business segments
    • SAP SE - Key news
    • SAP SE - Key offerings
    • SAP SE - Segment focus
    • SWOT
  • 14.17 Snowflake Inc.
    • Snowflake Inc. - Overview
    • Snowflake Inc. - Product / Service
    • Snowflake Inc. - Key offerings
    • SWOT
  • 14.18 Tencent Holdings Ltd.
    • Tencent Holdings Ltd. - Overview
    • Tencent Holdings Ltd. - Business segments
    • Tencent Holdings Ltd. - Key news
    • Tencent Holdings Ltd. - Key offerings
    • Tencent Holdings Ltd. - Segment focus
    • SWOT

15 Appendix

  • 15.1 Scope of the report
    • Market definition
    • Objectives
    • Notes and caveats
  • 15.2 Inclusions and exclusions checklist
    • Inclusions checklist
    • Exclusions checklist
  • 15.3 Currency conversion rates for US$
    • Currency conversion rates for US$
  • 15.4 Research methodology
    • Research methodology
  • 15.5 Data procurement
    • Information sources
  • 15.6 Data validation
    • Data validation
  • 15.7 Validation techniques employed for market sizing
    • Validation techniques employed for market sizing
  • 15.8 Data synthesis
    • Data synthesis
  • 15.9 360 degree market analysis
    • 360 degree market analysis
  • 15.10 List of abbreviations
    • List of abbreviations