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全球机器学习即服务市场研究报告 - 2024 年至 2032 年产业分析、规模、份额、成长、趋势与预测

Global Machine Learning As A Service Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032

出版日期: 2024年11月01日 | 出版商:

Value Market Research | 英文 181 Pages | 商品交期: 最快1-2个工作天内

价格

简介目录图表

全球机器学习即服务市场需求预计将从 2023 年的 111.6 亿美元达到近 1,875.5 亿美元的市场规模，2024-2032 年研究期间复合年增长率为 36.82%。

机器学习即服务 (MLaaS) 是指基于云端的平台，它提供用于开发和部署预测模型的机器学习工具和基础设施。这些服务提供预先建置的演算法、资料预处理、模型训练和分析，无需大量的内部专业知识或硬体。 MLaaS 平台（例如来自 AWS、Google Cloud 和 Microsoft Azure 的平台）使企业能够为资料分类、情绪分析和异常侦测等任务实施机器学习解决方案。透过利用 MLaaS，组织可以加速创新、优化流程并从大型资料集中获得可操作的见解，从而使机器学习可供广泛的行业和应用程式使用。

市场动态

由于各行业越来越多地采用人工智慧和数据驱动决策，机器学习即服务 (MLaaS) 市场正在强劲成长。组织越来越多地使用机器学习即服务从大型资料集中获取可行的见解、优化营运并改善客户体验。机器学习即服务基于云端的性质提供了可扩展性和成本效益，使其对各种规模的企业都具有吸引力。物联网设备的激增以及随之而来的资料生成量的增加正在推动机器学习即服务的需求，以分析这些资料并从中提取价值。医疗保健、金融和零售等行业正在利用机器学习即服务进行预测分析、诈欺侦测和个人化建议。机器学习即服务与现有企业软体和平台的整合是推动采用的另一个因素。此外，演算法的进步和机器学习工具的民主化使机器学习即服务变得更容易获得。竞争格局和对创新解决方案的需求正在鼓励公司采用机器学习即服务。资料安全问题以及缺乏实施和管理机器学习解决方案的熟练人员可能会挑战未来几年的市场成长。

研究报告涵盖波特五力模型、市场吸引力分析和价值链分析。这些工具有助于清晰地了解行业结构并评估全球范围内的竞争吸引力。此外，这些工具还对全球机器学习即服务市场的每个细分市场进行了包容性评估。机器学习即服务业的成长和趋势为这项研究提供了一种整体方法。

市场区隔

机器学习即服务市场报告的这一部分提供了有关国家和地区级别细分市场的详细资料，从而帮助战略家确定相应产品或服务的目标人口统计数据以及即将到来的机会。

按组件

软体工具
服务

按申请

行销与广告
预测性维护
自动化网路管理
诈欺侦测和风险分析
其他的

按企业规模

中小企业
大型企业

按最终用户

BFSI
资讯科技与电信
汽车
卫生保健
航太与国防
零售
政府
其他的

区域分析

本节涵盖区域展望，重点介绍北美、欧洲、亚太地区、拉丁美洲以及中东和非洲机器学习即服务市场当前和未来的需求。此外，该报告重点关注所有主要地区各个应用领域的需求、估计和预测。

该研究报告还涵盖了市场主要参与者的全面概况以及对全球竞争格局的深入了解。机器学习即服务市场的主要参与者包括 IBM Corporation、Google Inc.、Hewlett Packard Enterprise Development LP、Saleforce、Oracle Corporation、Amazon Web Services、Microsoft Corporation、BigMI Inc.、FICO、Yottamine Analytics、Ersatz Labs Inc.。筛选科学。本节包含竞争格局的整体视图，包括各种策略发展，例如关键併购、未来产能、合作伙伴关係、财务概况、合作、新产品开发、新产品发布和其他发展。

如果您有任何客製化要求，请写信给我们。我们的研究团队可以根据您的需求提供客製化报告。

简介 - 市场动态
市场驱动因素
市场限制
机会
产业动态
波特五力分析
市场吸引力分析
- 按组件分類的市场吸引力分析
- 市场吸引力分析：依应用分类
- 按企业规模分類的市场吸引力分析
- 最终用户的市场吸引力分析
- 市场吸引力分析：按地区

第 4 章：价值链分析

价值链分析
原料分析
- 原料清单
- 原料厂商清单
- 主要原物料价格走势
潜在买家名单
行销管道
- 直效行销
- 间接行销
- 行销通路发展趋势

第 5 章：全球机器学习即服务市场分析：按组成部分

按组件概述
按组成部分的历史和预测资料分析
软体工具
服务

第 6 章：全球机器学习即服务市场分析：依应用分类

概述：按应用
历史与预测资料分析：按应用分类
行销与广告
预测性维护
自动化网路管理
诈欺侦测和风险分析
其他的

第 7 章：全球机器学习即服务市场分析：依企业规模

按企业规模分類的概览
依企业规模进行历史与预测资料分析
中小企业
大型企业

第 8 章：全球机器学习即服务市场分析：依最终使用者分类

最终用户概述
最终用户的历史和预测数据分析
BFSI
资讯科技与电信
汽车
卫生保健
航太与国防
零售
政府
其他的

第 9 章：全球机器学习即服务市场分析：依地理位置

区域展望
介绍
北美销售分析
- 概览、历史与预测资料销售分析
- 北美按细分市场销售分析
- 北美按国家销售分析
- 美国销售分析
- 加拿大销售分析
- 墨西哥销售分析
欧洲销售分析
- 概览、历史与预测资料销售分析
- 欧洲按细分市场销售分析
- 欧洲按国家销售分析
- 英国销售分析
- 法国销售分析
- 德国销售分析
- 义大利销售分析
- 俄罗斯销售分析
- 欧洲其他地区销售分析
亚太地区销售分析
- 概览、历史与预测资料销售分析
- 亚太地区按细分市场销售分析
- 亚太地区按国家销售分析
- 中国销售分析
- 印度销售分析
- 日本销售分析
- 韩国销售分析
- 澳洲销售分析
- 东南亚销售分析
- 亚太地区其他地区销售分析
拉丁美洲销售分析
- 概览、历史与预测资料销售分析
- 拉丁美洲按细分市场销售分析
- 拉丁美洲按国家销售分析
- 巴西销售分析
- 阿根廷销售分析
- 秘鲁销售分析
- 智利销售分析
- 拉丁美洲其他地区销售分析
中东和非洲销售分析
- 概览、历史与预测资料销售分析
- 中东和非洲按细分市场销售分析
- 中东和非洲按国家销售分析
- 沙乌地阿拉伯销售分析
- 阿联酋销售分析
- 以色列销售分析
- 南非销售分析
- 中东其他地区和非洲销售分析

第 10 章：机器学习服务公司的竞争格局

机器学习即服务市场竞争
伙伴关係/协作/协议
併购
新产品发布
其他发展

第 11 章：公司简介

顶级公司市占率分析
市场集中度
IBM Corporation

公司概况
公司收入
产品
最新动态

Google Inc.

公司概况
公司收入
产品
最新动态

Hewlett Packard Enterprise Development LP

公司概况
公司收入
产品
最新动态

Saleforce

公司概况
公司收入
产品
最新动态

Oracle Corporation

公司概况
公司收入
产品
最新动态

Amazon Web Services

公司概况
公司收入
产品
最新动态

Microsoft Corporation

公司概况
公司收入
产品
最新动态

BigMI Inc.

公司概况
公司收入
产品
最新动态

FICO

公司概况
公司收入
产品
最新动态

Yottamine Analytics

公司概况
公司收入
产品
最新动态

Ersatz Labs Inc.

公司概况
公司收入
产品
最新动态

Sift-Science

公司概况
公司收入
产品
最新动态

註 - 在公司概况中，财务详细资讯和最新发展视情况而定，或对私人公司而言可能不包括在内

简介目录图表

Product Code: VMR11210820

The global demand for Machine Learning As A Service Market is presumed to reach the market size of nearly USD 187.55 Billion by 2032 from USD 11.16 Billion in 2023 with a CAGR of 36.82% under the study period 2024-2032.

Machine Learning As A Service (MLaaS) refers to cloud-based platforms that offer machine learning tools and infrastructure for developing and deploying predictive models. These services provide pre-built algorithms, data preprocessing, model training, and analytics without requiring extensive in-house expertise or hardware. MLaaS platforms, like those from AWS, Google Cloud, and Microsoft Azure, enable businesses to implement machine learning solutions for tasks such as data classification, sentiment analysis, and anomaly detection. By leveraging MLaaS, organizations can accelerate innovation, optimize processes, and gain actionable insights from large datasets, making machine learning accessible to a wide range of industries and applications.

Market Dynamics

The Machine Learning As A Service (MLaaS) market is witnessing strong growth due to the rising adoption of artificial intelligence and data-driven decision-making across various industries. Organizations are increasingly using Machine Learning As A Service to gain actionable insights from large datasets, optimize operations, and improve customer experiences. The cloud-based nature of Machine Learning As A Service provides scalability and cost-efficiency, making it attractive for businesses of all sizes. The proliferation of IoT devices and the subsequent increase in data generation are driving the need for Machine Learning As A Service to analyze and extract value from this data. Sectors like healthcare, finance, and retail are leveraging Machine Learning As A Service for predictive analytics, fraud detection, and personalized recommendations. The integration of Machine Learning As A Service with existing enterprise software and platforms is another factor fueling adoption. Additionally, advancements in algorithms and the democratization of machine learning tools are making Machine Learning As A Service more accessible. The competitive landscape and the demand for innovative solutions are encouraging companies to adopt Machine Learning As A Service. Data security concerns and a lack of skilled personnel to implement and manage ML solutions may challenge market growth in the coming years.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of Machine Learning As A Service. The growth and trends of Machine Learning As A Service industry provide a holistic approach to this study.

MARKET SEGMENTATION

This section of the Machine Learning As A Service market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Component

Software Tools
Services

By Application

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

By Enterprise Size

Small & Medium Enterprises
Large Enterprises

By End-user

BFSI
IT & Telecom
Automotive
Healthcare
Aerospace & Defense
Retail
Government
Others

REGIONAL ANALYSIS

This section covers the regional outlook, which accentuates current and future demand for the Machine Learning As A Service market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Machine Learning As A Service market include IBM Corporation, Google Inc., Hewlett Packard Enterprise Development LP, Saleforce, Oracle Corporation, Amazon Web Services, Microsoft Corporation, BigMI Inc., FICO, Yottamine Analytics, Ersatz Labs Inc., Sift-Science. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

1. PREFACE

1.1. Report Description
- 1.1.1 Objective
- 1.1.2 Target Audience
- 1.1.3 Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1 Market Research Process
- 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3. MACHINE LEARNING AS A SERVICE - INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Component
- 3.7.2 Market Attractiveness Analysis By Application
- 3.7.3 Market Attractiveness Analysis By Enterprise Size
- 3.7.4 Market Attractiveness Analysis By End-user
- 3.7.5 Market Attractiveness Analysis By Region

4. VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1 List of Raw Materials
- 4.2.2 Raw Material Manufactures List
- 4.2.3 Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1 Direct Marketing
- 4.4.2 Indirect Marketing
- 4.4.3 Marketing Channel Development Trend

5. GLOBAL MACHINE LEARNING AS A SERVICE MARKET ANALYSIS BY COMPONENT

5.1. Overview By Component
5.2. Historical and Forecast Data Analysis By Component
5.3. Software Tools Historic and Forecast Sales By Regions
5.4. Services Historic and Forecast Sales By Regions

6. GLOBAL MACHINE LEARNING AS A SERVICE MARKET ANALYSIS BY APPLICATION

6.1. Overview By Application
6.2. Historical and Forecast Data Analysis By Application
6.3. Marketing and Advertisement Historic and Forecast Sales By Regions
6.4. Predictive Maintenance Historic and Forecast Sales By Regions
6.5. Automated Network Management Historic and Forecast Sales By Regions
6.6. Fraud Detection and Risk Analytics Historic and Forecast Sales By Regions
6.7. Others Historic and Forecast Sales By Regions

7. GLOBAL MACHINE LEARNING AS A SERVICE MARKET ANALYSIS BY ENTERPRISE SIZE

7.1. Overview By Enterprise Size
7.2. Historical and Forecast Data Analysis By Enterprise Size
7.3. Small & Medium Enterprises Historic and Forecast Sales By Regions
7.4. Large Enterprises Historic and Forecast Sales By Regions

8. GLOBAL MACHINE LEARNING AS A SERVICE MARKET ANALYSIS BY END-USER

8.1. Overview By End-user
8.2. Historical and Forecast Data Analysis By End-user
8.3. BFSI Historic and Forecast Sales By Regions
8.4. IT & Telecom Historic and Forecast Sales By Regions
8.5. Automotive Historic and Forecast Sales By Regions
8.6. Healthcare Historic and Forecast Sales By Regions
8.7. Aerospace & Defense Historic and Forecast Sales By Regions
8.8. Retail Historic and Forecast Sales By Regions
8.9. Government Historic and Forecast Sales By Regions
8.10. Others Historic and Forecast Sales By Regions

9. GLOBAL MACHINE LEARNING AS A SERVICE MARKET ANALYSIS BY GEOGRAPHY

9.1. Regional Outlook
9.2. Introduction
9.3. North America Sales Analysis
- 9.3.1 Overview, Historic and Forecast Data Sales Analysis
- 9.3.2 North America By Segment Sales Analysis
- 9.3.3 North America By Country Sales Analysis
- 9.3.4 United States Sales Analysis
- 9.3.5 Canada Sales Analysis
- 9.3.6 Mexico Sales Analysis
9.4. Europe Sales Analysis
- 9.4.1 Overview, Historic and Forecast Data Sales Analysis
- 9.4.2 Europe By Segment Sales Analysis
- 9.4.3 Europe By Country Sales Analysis
- 9.4.4 United Kingdom Sales Analysis
- 9.4.5 France Sales Analysis
- 9.4.6 Germany Sales Analysis
- 9.4.7 Italy Sales Analysis
- 9.4.8 Russia Sales Analysis
- 9.4.9 Rest Of Europe Sales Analysis
9.5. Asia Pacific Sales Analysis
- 9.5.1 Overview, Historic and Forecast Data Sales Analysis
- 9.5.2 Asia Pacific By Segment Sales Analysis
- 9.5.3 Asia Pacific By Country Sales Analysis
- 9.5.4 China Sales Analysis
- 9.5.5 India Sales Analysis
- 9.5.6 Japan Sales Analysis
- 9.5.7 South Korea Sales Analysis
- 9.5.8 Australia Sales Analysis
- 9.5.9 South East Asia Sales Analysis
- 9.5.10 Rest Of Asia Pacific Sales Analysis
9.6. Latin America Sales Analysis
- 9.6.1 Overview, Historic and Forecast Data Sales Analysis
- 9.6.2 Latin America By Segment Sales Analysis
- 9.6.3 Latin America By Country Sales Analysis
- 9.6.4 Brazil Sales Analysis
- 9.6.5 Argentina Sales Analysis
- 9.6.6 Peru Sales Analysis
- 9.6.7 Chile Sales Analysis
- 9.6.8 Rest of Latin America Sales Analysis
9.7. Middle East & Africa Sales Analysis
- 9.7.1 Overview, Historic and Forecast Data Sales Analysis
- 9.7.2 Middle East & Africa By Segment Sales Analysis
- 9.7.3 Middle East & Africa By Country Sales Analysis
- 9.7.4 Saudi Arabia Sales Analysis
- 9.7.5 UAE Sales Analysis
- 9.7.6 Israel Sales Analysis
- 9.7.7 South Africa Sales Analysis
- 9.7.8 Rest Of Middle East And Africa Sales Analysis

10. COMPETITIVE LANDSCAPE OF THE MACHINE LEARNING AS A SERVICE COMPANIES

10.1. Machine Learning As A Service Market Competition
10.2. Partnership/Collaboration/Agreement
10.3. Merger And Acquisitions
10.4. New Product Launch
10.5. Other Developments

11. COMPANY PROFILES OF MACHINE LEARNING AS A SERVICE INDUSTRY

11.1. Top Companies Market Share Analysis
11.2. Market Concentration Rate
11.3. IBM Corporation
- 11.3.1 Company Overview
- 11.3.2 Company Revenue
- 11.3.3 Products
- 11.3.4 Recent Developments
11.4. Google Inc.
- 11.4.1 Company Overview
- 11.4.2 Company Revenue
- 11.4.3 Products
- 11.4.4 Recent Developments
11.5. Hewlett Packard Enterprise Development LP
- 11.5.1 Company Overview
- 11.5.2 Company Revenue
- 11.5.3 Products
- 11.5.4 Recent Developments
11.6. Saleforce
- 11.6.1 Company Overview
- 11.6.2 Company Revenue
- 11.6.3 Products
- 11.6.4 Recent Developments
11.7. Oracle Corporation
- 11.7.1 Company Overview
- 11.7.2 Company Revenue
- 11.7.3 Products
- 11.7.4 Recent Developments
11.8. Amazon Web Services
- 11.8.1 Company Overview
- 11.8.2 Company Revenue
- 11.8.3 Products
- 11.8.4 Recent Developments
11.9. Microsoft Corporation
- 11.9.1 Company Overview
- 11.9.2 Company Revenue
- 11.9.3 Products
- 11.9.4 Recent Developments
11.10. BigMI Inc.
- 11.10.1 Company Overview
- 11.10.2 Company Revenue
- 11.10.3 Products
- 11.10.4 Recent Developments
11.11. FICO
- 11.11.1 Company Overview
- 11.11.2 Company Revenue
- 11.11.3 Products
- 11.11.4 Recent Developments
11.12. Yottamine Analytics
- 11.12.1 Company Overview
- 11.12.2 Company Revenue
- 11.12.3 Products
- 11.12.4 Recent Developments
11.13. Ersatz Labs Inc.
- 11.13.1 Company Overview
- 11.13.2 Company Revenue
- 11.13.3 Products
- 11.13.4 Recent Developments
11.14. Sift-Science
- 11.14.1 Company Overview
- 11.14.2 Company Revenue
- 11.14.3 Products
- 11.14.4 Recent Developments