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市場調查報告書
商品編碼
1886322

機器學習即服務市場－全球產業規模、佔有率、趨勢、機會和預測（按應用、組織規模、最終用戶、地區和競爭格局分類，2020-2030 年預測）

Machine Learning as a Service Market - Global Industry Size, Share, Trends, Opportunity, and Forecast Segmented by Application, Organization Size, End User, By Region, and By Competition, 2020-2030F
出版日期: | 出版商: TechSci Research | 英文 186 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球機器學習即服務市場規模將從2024年的731.1億美元成長到2030年的4,607.7億美元，複合年成長率達35.91%。機器學習即服務（MLaaS）涵蓋了以雲端服務形式交付機器學習工具和綜合基礎設施，使企業能夠輕鬆存取和部署複雜的機器學習模型，而無需大量的內部專業知識或為專用硬體投入大量資金。

市場概覽
預測期 2026-2030
市場規模：2024年 731.1億美元
市場規模：2030年 4607.7億美元
複合年成長率：2025-2030年 35.91%
成長最快的細分市場 航太與國防
最大的市場 北美洲

主要市場促進因素

雲端運算的廣泛應用為機器學習即服務（MLaaS）市場的發展奠定了基礎。雲端平台提供可擴展的隨選基礎設施，這對於部署和管理複雜的機器學習模式至關重要，從而有效降低了各種規模企業的進入門檻。

主要市場挑戰

嚴格的資料隱私和安全法規對全球機器學習即服務 (MLaaS) 市場的成長構成了相當大的挑戰。企業在第三方雲端基礎架構上處理敏感資料集時，面臨日益嚴格的審查和固有的風險，而第三方雲端基礎架構正是 MLaaS 產品的基礎。

主要市場趨勢

生成式人工智慧 (AI) 與機器學習即服務 (MLaaS) 平台的日益融合代表著一個關鍵趨勢，它顯著提升了高階 AI 的功能和易用性。 MLaaS 供應商正在整合生成式 AI 模型，以實現自動內容創建、程式碼生成和複雜資料合成等功能，從而超越傳統的預測分析。

目錄

第1章：產品概述

第2章：研究方法

第3章：執行概要

第4章：顧客之聲

第5章：全球機器學習即服務市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按應用領域（行銷與廣告、預測性維護、自動化網路管理、詐欺偵測、風險分析）
    • 依組織規模（中小企業、大型企業）
    • 按最終用戶（IT和電信、汽車、醫療保健、航太和國防、零售、政府、銀行、金融服務和保險）
    • 按地區
    • 按公司（2024 年）
  • 市場地圖

第6章：北美機器學習即服務市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲機器學習即服務市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太地區機器學習即服務市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：中東與非洲機器學習即服務市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美洲機器學習即服務市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章：市場動態

  • 促進要素
  • 挑戰

第12章：市場趨勢與發展

  • 併購
  • 產品發布
  • 最新進展

第13章：全球機器學習即服務市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的潛力
  • 供應商議價能力
  • 顧客的力量
  • 替代產品的威脅

第15章：競爭格局

  • Microsoft Corporation
  • IBM Corporation
  • Google LLC
  • SAS Institute Inc.
  • Fair Isaac Corporation (FICO)
  • Hewlett Packard Enterprise Company
  • Yottamine Analytics Inc.
  • Amazon Web Services Inc.
  • BigML Inc.
  • Iflowsoft Solutions Inc.

第16章：策略建議

第17章調查會社について,免責事項

簡介目錄
Product Code: 23342

The Global Machine Learning as a Service Market will grow from USD 73.11 Billion in 2024 to USD 460.77 Billion by 2030 at a 35.91% CAGR. Machine Learning as a Service (MLaaS) encompasses the delivery of machine learning tools and comprehensive infrastructure as cloud-based services, empowering organizations to readily access and deploy sophisticated machine learning models without requiring extensive internal expertise or substantial capital outlay for dedicated hardware.

Market Overview
Forecast Period2026-2030
Market Size 2024USD 73.11 Billion
Market Size 2030USD 460.77 Billion
CAGR 2025-203035.91%
Fastest Growing SegmentAerospace and Defense
Largest MarketNorth America

Key Market Drivers

The widespread adoption of cloud computing serves as a foundational accelerant for the Machine Learning as a Service market. Cloud platforms provide the scalable, on-demand infrastructure essential for deploying and managing complex machine learning models, effectively lowering the barrier to entry for businesses of all sizes. This widespread embrace is evident in significant financial growth within major cloud providers.

Key Market Challenges

Stringent data privacy and security mandates represent a considerable challenge impeding the growth of the Global Machine Learning as a Service (MLaaS) market. Organizations face increasing scrutiny and inherent risks when processing sensitive datasets on third-party cloud infrastructure, which forms the basis of MLaaS offerings. This concern leads to hesitation in widespread adoption, especially within sectors governed by strict regulations, as businesses must navigate complex and evolving global data protection laws and compliance requirements.

Key Market Trends

The increasing integration of generative artificial intelligence (AI) into Machine Learning as a Service (MLaaS) platforms represents a pivotal trend, significantly enhancing the capabilities and accessibility of advanced AI. MLaaS providers are incorporating generative AI models to enable functionalities such as automated content creation, code generation, and complex data synthesis, moving beyond traditional predictive analytics. This expansion facilitates a broader range of applications across various business functions, allowing organizations to develop innovative solutions more efficiently.

Key Market Players

  • Microsoft Corporation
  • IBM Corporation
  • Google LLC
  • SAS Institute Inc.
  • Fair Isaac Corporation (FICO)
  • Hewlett Packard Enterprise Company
  • Yottamine Analytics Inc.
  • Amazon Web Services Inc.
  • BigML Inc.
  • Iflowsoft Solutions Inc.

Report Scope:

In this report, the Global Machine Learning as a Service Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Machine Learning as a Service Market, By Application:

  • Marketing and Advertisement
  • Predictive Maintenance
  • Automated Network Management
  • Fraud Detection
  • Risk Analytics

Machine Learning as a Service Market, By Organization Size:

  • Small and Medium Enterprises
  • Large Enterprises

Machine Learning as a Service Market, By End User:

  • IT and Telecom
  • Automotive
  • Healthcare
  • Aerospace and Defense
  • Retail
  • Government
  • BFSI

Machine Learning as a Service Market, By Region:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies presents in the Global Machine Learning as a Service Market.

Available Customizations:

Global Machine Learning as a Service Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Machine Learning as a Service Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Application (Marketing and Advertisement, Predictive Maintenance, Automated Network Management, Fraud Detection, Risk Analytics)
    • 5.2.2. By Organization Size (Small and Medium Enterprises, Large Enterprises)
    • 5.2.3. By End User (IT and Telecom, Automotive, Healthcare, Aerospace and Defense, Retail, Government, BFSI)
    • 5.2.4. By Region
    • 5.2.5. By Company (2024)
  • 5.3. Market Map

6. North America Machine Learning as a Service Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Application
    • 6.2.2. By Organization Size
    • 6.2.3. By End User
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Machine Learning as a Service Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Application
        • 6.3.1.2.2. By Organization Size
        • 6.3.1.2.3. By End User
    • 6.3.2. Canada Machine Learning as a Service Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Application
        • 6.3.2.2.2. By Organization Size
        • 6.3.2.2.3. By End User
    • 6.3.3. Mexico Machine Learning as a Service Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Application
        • 6.3.3.2.2. By Organization Size
        • 6.3.3.2.3. By End User

7. Europe Machine Learning as a Service Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Application
    • 7.2.2. By Organization Size
    • 7.2.3. By End User
    • 7.2.4. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Machine Learning as a Service Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Application
        • 7.3.1.2.2. By Organization Size
        • 7.3.1.2.3. By End User
    • 7.3.2. France Machine Learning as a Service Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Application
        • 7.3.2.2.2. By Organization Size
        • 7.3.2.2.3. By End User
    • 7.3.3. United Kingdom Machine Learning as a Service Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Application
        • 7.3.3.2.2. By Organization Size
        • 7.3.3.2.3. By End User
    • 7.3.4. Italy Machine Learning as a Service Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Application
        • 7.3.4.2.2. By Organization Size
        • 7.3.4.2.3. By End User
    • 7.3.5. Spain Machine Learning as a Service Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Application
        • 7.3.5.2.2. By Organization Size
        • 7.3.5.2.3. By End User

8. Asia Pacific Machine Learning as a Service Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Application
    • 8.2.2. By Organization Size
    • 8.2.3. By End User
    • 8.2.4. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Machine Learning as a Service Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Application
        • 8.3.1.2.2. By Organization Size
        • 8.3.1.2.3. By End User
    • 8.3.2. India Machine Learning as a Service Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Application
        • 8.3.2.2.2. By Organization Size
        • 8.3.2.2.3. By End User
    • 8.3.3. Japan Machine Learning as a Service Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Application
        • 8.3.3.2.2. By Organization Size
        • 8.3.3.2.3. By End User
    • 8.3.4. South Korea Machine Learning as a Service Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Application
        • 8.3.4.2.2. By Organization Size
        • 8.3.4.2.3. By End User
    • 8.3.5. Australia Machine Learning as a Service Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Application
        • 8.3.5.2.2. By Organization Size
        • 8.3.5.2.3. By End User

9. Middle East & Africa Machine Learning as a Service Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Application
    • 9.2.2. By Organization Size
    • 9.2.3. By End User
    • 9.2.4. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Machine Learning as a Service Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Application
        • 9.3.1.2.2. By Organization Size
        • 9.3.1.2.3. By End User
    • 9.3.2. UAE Machine Learning as a Service Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Application
        • 9.3.2.2.2. By Organization Size
        • 9.3.2.2.3. By End User
    • 9.3.3. South Africa Machine Learning as a Service Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Application
        • 9.3.3.2.2. By Organization Size
        • 9.3.3.2.3. By End User

10. South America Machine Learning as a Service Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Application
    • 10.2.2. By Organization Size
    • 10.2.3. By End User
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Machine Learning as a Service Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Application
        • 10.3.1.2.2. By Organization Size
        • 10.3.1.2.3. By End User
    • 10.3.2. Colombia Machine Learning as a Service Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Application
        • 10.3.2.2.2. By Organization Size
        • 10.3.2.2.3. By End User
    • 10.3.3. Argentina Machine Learning as a Service Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Application
        • 10.3.3.2.2. By Organization Size
        • 10.3.3.2.3. By End User

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Machine Learning as a Service Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. Microsoft Corporation
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. IBM Corporation
  • 15.3. Google LLC
  • 15.4. SAS Institute Inc.
  • 15.5. Fair Isaac Corporation (FICO)
  • 15.6. Hewlett Packard Enterprise Company
  • 15.7. Yottamine Analytics Inc.
  • 15.8. Amazon Web Services Inc.
  • 15.9. BigML Inc.
  • 15.10. Iflowsoft Solutions Inc.

16. Strategic Recommendations

17. About Us & Disclaimer