MLaaS(Machine Learning as a Service) 시장 : 세계 산업 규모, 점유율, 동향, 기회, 예측 - 용도별, 조직 규모별, 최종사용자별, 지역별, 경쟁별(2020-2030년)
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
상품코드:1886322
리서치사:TechSci Research
발행일:2025년 12월
페이지 정보:영문 186 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
한글목차
세계의 MLaaS(Machine Learning as a Service) 시장은 2024년 731억 1,000만 달러에서 2030년까지 4,607억 7,000만 달러로, CAGR 35.91%로 성장할 전망입니다.
MLaaS(Machine Learning as a Service)는 머신러닝 도구와 종합적인 인프라를 클라우드 기반 서비스로 제공하는 것을 말합니다. 이를 통해 조직은 고급 머신러닝 모델에 쉽게 접근하고 도입할 수 있으며, 전문적인 내부 노하우나 전용 하드웨어에 대한 막대한 자본 지출을 필요로 하지 않습니다.
시장 개요
예측 기간
2026-2030년
시장 규모 : 2024년
731억 1,000만 달러
시장 규모 : 2030년
4,607억 7,000만 달러
CAGR : 2025-2030년
35.91%
가장 빠르게 성장하는 부문
항공우주 및 방위
최대 시장
북미
주요 시장 촉진요인
클라우드 컴퓨팅의 확산은 MLaaS(Machine Learning as a Service) 시장의 기반이 되는 원동력으로 작용하고 있습니다. 클라우드 플랫폼은 복잡한 머신러닝 모델을 도입하고 관리하는 데 필수적인 확장 가능한 온디맨드형 인프라를 제공하여 모든 규모의 기업에서 진입장벽을 효과적으로 낮추고 있습니다.
주요 시장 과제
엄격한 데이터 프라이버시 및 보안 요구사항은 세계 MLaaS(Machine Learning as a Service) 시장의 성장을 저해하는 주요 요인으로 작용하고 있습니다. 조직은 MLaaS 서비스의 기반이 되는 서드파티 클라우드 인프라에서 민감한 데이터세트를 처리할 때, 더 강화된 모니터링과 고유한 위험에 직면하게 됩니다.
주요 시장 동향
생성형 인공지능(AI)이 MLaaS(Machine Learning as a Service) 플랫폼에 통합되는 추세가 강화되고 있으며, 이는 고급 AI의 기능과 접근성을 크게 향상시키는 중요한 추세입니다. MLaaS 제공업체들은 자동 컨텐츠 생성, 코드 생성, 복잡한 데이터 합성 등의 기능을 구현하기 위해 생성형 AI 모델을 내장하고 있으며, 기존의 예측 분석의 틀을 넘어서고 있습니다.
목차
제1장 제품 개요
제2장 조사 방법
제3장 주요 요약
제4장 고객의 소리
제5장 세계의 MLaaS(Machine Learning as a Service) 시장 전망
시장 규모 및 예측
금액별
시장 점유율과 예측
용도별(마케팅·광고, 예지보전, 자동 네트워크 관리, 부정 감지, 리스크 분석)
기업 규모별(중소기업, 대기업)
최종사용자별(IT·통신, 자동차, 의료, 항공우주 및 방위, 소매, 정부, BFSI)
지역별
기업별(2024년)
시장 맵
제6장 북미의 MLaaS(Machine Learning as a Service) 시장 전망
시장 규모 및 예측
시장 점유율과 예측
북미 : 국가별 분석
미국
캐나다
멕시코
제7장 유럽의 MLaaS(Machine Learning as a Service) 시장 전망
시장 규모 및 예측
시장 점유율과 예측
유럽 : 국가별 분석
독일
프랑스
영국
이탈리아
스페인
제8장 아시아태평양의 MLaaS(Machine Learning as a Service) 시장 전망
시장 규모 및 예측
시장 점유율과 예측
아시아태평양 : 국가별 분석
중국
인도
일본
한국
호주
제9장 중동 및 아프리카의 MLaaS(Machine Learning as a Service) 시장 전망
시장 규모 및 예측
시장 점유율과 예측
중동 및 아프리카 : 국가별 분석
사우디아라비아
아랍에미리트
남아프리카공화국
제10장 남미의 MLaaS(Machine Learning as a Service) 시장 전망
시장 규모 및 예측
시장 점유율과 예측
남미 : 국가별 분석
브라질
콜롬비아
아르헨티나
제11장 시장 역학
성장 촉진요인
과제
제12장 시장 동향과 발전
인수합병
제품 출시
최근 동향
제13장 세계의 MLaaS(Machine Learning as a Service) 시장 : SWOT 분석
제14장 Porter's Five Forces 분석
업계내 경쟁
신규 참여의 가능성
공급업체의 능력
고객의 능력
대체품의 위협
제15장 경쟁 구도
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.
제16장 전략적 제안
제17장 조사 회사 소개 및 면책사항
KSM
영문 목차
영문목차
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 Period
2026-2030
Market Size 2024
USD 73.11 Billion
Market Size 2030
USD 460.77 Billion
CAGR 2025-2030
35.91%
Fastest Growing Segment
Aerospace and Defense
Largest Market
North 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
