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雲端服務人工智能 DL/ML

市場調查報告書

商品編碼

1585197

全球機器學習即服務市場研究報告 - 2024 年至 2032 年產業分析、規模、佔有率、成長、趨勢與預測

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個工作天內

價格

簡介目錄圖表

全球機器學習即服務市場需求預計將從 2023 年的 111.6 億美元達到近 1,875.5 億美元的市場規模，2024-2032 年研究期間複合年成長率為 36.82%。

機器學習即服務 (MLaaS) 是指基於雲端的平台，它提供用於開發和部署預測模型的機器學習工具和基礎設施。這些服務提供預先建置的演算法、資料預處理、模型訓練和分析，無需大量的內部專業知識或硬體。 MLaaS 平台（例如來自 AWS、Google Cloud 和 Microsoft Azure 的平台）使企業能夠為資料分類、情緒分析和異常偵測等任務實施機器學習解決方案。透過利用 MLaaS，組織可以加速創新、最佳化流程並從大型資料集中獲得可操作的見解，從而使機器學習可供廣泛的行業和應用程式使用。

市場動態

由於各行業擴大採用人工智慧和數據驅動決策，機器學習即服務 (MLaaS) 市場正在強勁成長。組織擴大使用機器學習即服務從大型資料集中獲取可行的見解、最佳化營運並改善客戶體驗。機器學習即服務基於雲端的性質提供了可擴展性和成本效益，使其對各種規模的企業都具有吸引力。物聯網設備的激增以及隨之而來的資料生成量的增加正在推動機器學習即服務的需求，以分析這些資料並從中提取價值。醫療保健、金融和零售等行業正在利用機器學習即服務進行預測分析、詐欺偵測和個人化建議。機器學習即服務與現有企業軟體和平台的整合是推動採用的另一個因素。此外，演算法的進步和機器學習工具的民主化使機器學習即服務變得更容易獲得。競爭格局和對創新解決方案的需求正在鼓勵公司採用機器學習即服務。資料安全問題以及缺乏實施和管理機器學習解決方案的熟練人員可能會挑戰未來幾年的市場成長。

研究報告涵蓋波特五力模型、市場吸引力分析和價值鏈分析。這些工具有助於清晰地了解行業結構並評估全球範圍內的競爭吸引力。此外，這些工具還對全球機器學習即服務市場的每個細分市場進行了包容性評估。機器學習即服務業的成長和趨勢為這項研究提供了一種整體方法。

市場區隔

機器學習即服務市場報告的這一部分提供了有關國家和地區級別細分市場的詳細資料，從而幫助戰略家確定相應產品或服務的目標人口統計數據以及即將到來的機會。

按組件

軟體工具
服務

按申請

行銷與廣告
預測性維護
自動化網路管理
詐欺偵測和風險分析
其他

按企業規模

中小企業
大型企業

按最終用戶

BFSI
資訊科技與電信
汽車
衛生保健
航太與國防
零售
政府
其他

區域分析

本節涵蓋區域展望，重點介紹北美、歐洲、亞太地區、拉丁美洲以及中東和非洲機器學習即服務市場當前和未來的需求。此外，該報告重點關注所有主要地區各個應用領域的需求、估計和預測。

該研究報告還涵蓋了市場主要參與者的全面概況以及對全球競爭格局的深入了解。機器學習即服務市場的主要參與者包括 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.。篩選科學。本節包含競爭格局的整體視圖，包括各種策略發展，例如關鍵併購、未來產能、合作夥伴關係、財務概況、合作、新產品開發、新產品發布和其他發展。

如果您有任何客製化要求，請寫信給我們。我們的研究團隊可以根據您的需求提供客製化報告。

簡介 - 市場動態
市場促進因素
市場限制
機會
產業動態
波特五力分析
市場吸引力分析
- 按組件分類的市場吸引力分析
- 市場吸引力分析：依應用分類
- 按企業規模分類的市場吸引力分析
- 最終用戶的市場吸引力分析
- 市場吸引力分析：按地區

第 4 章：價值鏈分析

價值鏈分析
原料分析
- 原料清單
- 原料廠商清單
- 主要原物料價格走勢
潛在買家名單
行銷管道
- 直效行銷
- 間接行銷
- 行銷通路發展趨勢

第 5 章：全球機器學習即服務市場分析：按組成部分

按組件概述
按組成部分的歷史和預測資料分析
軟體工具
服務

第 6 章：全球機器學習即服務市場分析：依應用分類

概述：按應用
歷史與預測資料分析：按應用分類
行銷與廣告
預測性維護
自動化網路管理
詐欺偵測和風險分析
其他

第 7 章：全球機器學習即服務市場分析：依企業規模

按企業規模分類的概覽
依企業規模進行歷史與預測資料分析
中小企業
大型企業

第 8 章：全球機器學習即服務市場分析：依最終使用者分類

最終用戶概述
最終用戶的歷史和預測數據分析
BFSI
資訊科技與電信
汽車
衛生保健
航太與國防
零售
政府
其他

第 9 章：全球機器學習即服務市場分析：依地理位置

區域展望
介紹
北美銷售分析
- 概覽、歷史與預測資料銷售分析
- 北美按細分市場銷售分析
- 北美按國家銷售分析
- 美國銷售分析
- 加拿大銷售分析
- 墨西哥銷售分析
歐洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 歐洲按細分市場銷售分析
- 歐洲按國家銷售分析
- 英國銷售分析
- 法國銷售分析
- 德國銷售分析
- 義大利銷售分析
- 俄羅斯銷售分析
- 歐洲其他地區銷售分析
亞太地區銷售分析
- 概覽、歷史與預測資料銷售分析
- 亞太地區按細分市場銷售分析
- 亞太地區按國家銷售分析
- 中國銷售分析
- 印度銷售分析
- 日本銷售分析
- 韓國銷售分析
- 澳洲銷售分析
- 東南亞銷售分析
- 亞太地區其他地區銷售分析
拉丁美洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 拉丁美洲按細分市場銷售分析
- 拉丁美洲按國家銷售分析
- 巴西銷售分析
- 阿根廷銷售分析
- 秘魯銷售分析
- 智利銷售分析
- 拉丁美洲其他地區銷售分析
中東和非洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 中東和非洲按細分市場銷售分析
- 中東和非洲按國家銷售分析
- 沙烏地阿拉伯銷售分析
- 阿拉伯聯合大公國銷售分析
- 以色列銷售分析
- 南非銷售分析
- 中東其他地區和非洲銷售分析

第 10 章：機器學習服務公司的競爭格局

機器學習即服務市場競爭
夥伴關係/協作/協議
併購
新產品發布
其他發展

第 11 章：公司簡介

頂級公司市佔率分析
市場集中度
IBM Corporation

公司概況
公司收入
產品
最新動態

Google Inc.

公司概況
公司收入
產品
最新動態

Hewlett Packard Enterprise Development LP

公司概況
公司收入
產品
最新動態

Saleforce

公司概況
公司收入
產品
最新動態

Oracle Corporation

公司概況
公司收入
產品
最新動態

Amazon Web Services

公司概況
公司收入
產品
最新動態

Microsoft Corporation

公司概況
公司收入
產品
最新動態

BigMI Inc.

公司概況
公司收入
產品
最新動態

FICO

公司概況
公司收入
產品
最新動態

Yottamine Analytics

公司概況
公司收入
產品
最新動態

Ersatz Labs Inc.

公司概況
公司收入
產品
最新動態

Sift-Science

公司概況
公司收入
產品
最新動態

註 - 在公司概況中，財務詳細資訊和最新發展視情況而定，或對私人公司而言可能不包括在內

簡介目錄圖表

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