机器学习即服务市场－全球产业规模、份额、趋势、机会和预测（按应用、组织规模、最终用户、地区和竞争格局划分，2020-2030 年预测）

全球机器学习即服务市场规模将从2024年的731.1亿美元成长到2030年的4,607.7亿美元，复合年增长率达35.91%。机器学习即服务（MLaaS）涵盖了以云端服务形式交付机器学习工具和综合基础设施，使企业能够轻鬆存取和部署复杂的机器学习模型，而无需大量的内部专业知识或为专用硬体投入大量资金。

主要市场驱动因素

云端运算的广泛应用为机器学习即服务（MLaaS）市场的发展奠定了基础。云端平台提供可扩展的随选基础设施，这对于部署和管理复杂的机器学习模式至关重要，从而有效降低了各种规模企业的进入门槛。

主要市场挑战

严格的资料隐私和安全法规对全球机器学习即服务 (MLaaS) 市场的成长构成了相当大的挑战。企业在第三方云端基础架构上处理敏感资料集时，面临日益严格的审查和固有的风险，而第三方云端基础架构正是 MLaaS 产品的基础。

主要市场趋势

生成式人工智慧 (AI) 与机器学习即服务 (MLaaS) 平台的日益融合代表着一个关键趋势，它显着提升了高阶 AI 的功能和易用性。 MLaaS 供应商正在整合生成式 AI 模型，以实现自动内容创建、程式码生成和复杂资料合成等功能，从而超越传统的预测分析。

目录

第一章：产品概述

第二章：研究方法

第三章：执行概要

第四章：顾客之声

第五章：全球机器学习即服务市场展望

• 市场规模及预测
  • 按价值
• 市占率及预测
  • 按应用领域（行销与广告、预测性维护、自动化网路管理、诈欺侦测、风险分析）
  • 依组织规模（中小企业、大型企业）
  • 按最终用户（IT和电信、汽车、医疗保健、航太和国防、零售、政府、银行、金融服务和保险）
  • 按地区
  • 按公司（2024 年）
• 市场地图

第六章：北美机器学习即服务市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国家分析
  • 美国
  • 加拿大
  • 墨西哥

第七章：欧洲机器学习即服务市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太地区机器学习即服务市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章：中东与非洲机器学习即服务市场展望

• 市场规模及预测
• 市占率及预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿联酋
  • 南非

第十章：南美洲机器学习即服务市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章：市场动态

• 司机
• 挑战

第十二章：市场趋势与发展

• 併购
• 产品发布
• 最新进展

第十三章：全球机器学习即服务市场：SWOT分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的潜力
• 供应商议价能力
• 顾客的力量
• 替代产品的威胁

第十五章：竞争格局

• 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.

第十六章：策略建议

第17章调查会社について・免责事项

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.

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