시장보고서 | 연간정보서비스 | 맞춤형시장조사 | 메일링 | 샘플 요청 목록
세계의 MLaaS(Machine Learning as a Service) 시장 보고서(2025년)
Machine Learning As A Service (MLaaS) Global Market Report 2025
상품코드 : 1693205
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 200 Pages
 라이선스 & 가격 (부가세 별도)
US $ 4,490 ￦ 6,482,000
PDF (Single User License) help
PDF 보고서를 1명만 이용할 수 있는 라이선스입니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.
US $ 6,490 ￦ 9,370,000
PDF (Site License) help
PDF 보고서를 동일 사업장의 모든 분이 이용할 수 있는 라이선스입니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.
US $ 8,490 ￦ 12,257,000
PDF (Enterprise License) help
PDF 보고서를 동일 기업의 모든 분이 이용할 수 있는 라이선스입니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.


ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
ㅁ 보고서에 따라 최신 정보로 업데이트하여 보내드립니다. 배송기일은 문의해 주시기 바랍니다.

한글목차

MLaaS(Machine Learning as a Service) 시장 규모는 향후 몇 년 동안 36.9%의 연평균 성장률(CAGR)을 기록하며 2029년에는 2,786억 5,000만 달러에 달할 것으로 예상됩니다. 예측 기간 동안의 성장은 산업 특화 솔루션의 증가, 설명 가능한 AI의 부상, 자율 시스템의 확대, 하이브리드 클라우드의 확산, 보안 및 프라이버시 기능 강화 등에 기인할 것으로 보입니다. 예측 기간의 주요 동향으로는 산업별 머신러닝 플랫폼, AI를 통한 자동화, 머신러닝의 민주화, 협동적 머신러닝, 지속적 학습 시스템 등을 꼽을 수 있습니다.

클라우드 기술 통합의 증가는 향후 MLaaS(Machine Learning as a Service) 시장의 성장을 촉진할 것으로 예상됩니다. 클라우드 기술 통합에는 다양한 클라우드 기반 시스템을 전체적으로 통합하거나 클라우드 기반 시스템을 온프레미스 시스템과 연동하는 것이 포함됩니다. 클라우드 기술은 MLaaS를 활용하고, 사용자에게 접근성, 확장성, 비용 효율성이 높은 머신러닝 기능을 제공합니다. 이를 통해 사용자는 머신러닝이나 인프라 관리에 대한 풍부한 전문 지식 없이도 다양한 애플리케이션에 대해 사전 훈련된 모델과 도구를 사용할 수 있습니다. 예를 들어, 2023년 12월 Eurostat에 따르면 EU 기업의 42.5%가 주로 이메일, 파일 스토리지, 사무용 소프트웨어를 위해 클라우드 컴퓨팅 서비스를 구매하고 있으며, 이는 2021년에 비해 4.2% 포인트 증가한 수치입니다. 또한 2022년 12월 Augusta Free Press가 발표한 데이터에 따르면 전 세계 디지털 혁신에 대한 지출은 약 1조 8,500억 달러에 달해 전년 대비 16% 증가했습니다. 그 결과 클라우드 기술의 통합이 진행되어 MLaaS 시장의 성장을 촉진하고 있습니다.

MLaaS(Machine Learning as a Service) 시장의 주요 기업들은 Kubeflow와 같은 서비스를 서비스로 제공함으로써 AI 개발의 민주화를 위해 혁신을 일으키고 있습니다. 머신러닝(ML) 프로젝트에 사용할 수 있는 매니지드 환경으로, 사용자는 기반 인프라를 관리하지 않고도 이용할 수 있습니다. 예를 들어, 2023년 2월 영국의 웹호스팅 업체인 Civo는 서비스형 Kubeflow를 도입했으며, Civo KFaaS와 같은 완전 관리형 개발 환경을 통해 사용자는 인프라 관리에 대한 부담 없이 서비스 제공자의 컴퓨팅 기능을 이용할 수 있습니다. KFaaS는 TensorFlow, PyTorch, RStudio, Visual Studio Code, Jupyter Notebook 등 일반적인 ML 도구 및 플랫폼과 통합하여 ML 프로젝트 워크플로우를 간소화합니다. 합리화합니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 금리, 인플레이션, 지정학, 코로나, 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별·국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 개요

제31장 기타 주요 기업과 혁신적 기업

제32장 세계의 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병

제34장 최근의 시장 동향

제35장 시장 잠재력이 높은 국가, 부문, 전략

제36장 부록

ksm
영문 목차

영문목차

Machine learning as a service (MLaaS) is a cloud-based system that offers users access to tools and resources for developing, deploying, and managing machine learning (ML) models. It enables individuals and organizations to leverage ML capabilities without needing extensive expertise in algorithms, programming, or infrastructure.

The key components of MLaaS are software tools and services. Software tools are cloud-based platforms that provide ML tools and services to support the daily work of data scientists and data engineers. MLaaS is used by organizations of all sizes, including small and medium enterprises (SMEs) and large enterprises. It is employed in various applications such as marketing and advertisement, predictive maintenance, automated network management, fraud detection, risk management, sentiment analysis, and more. MLaaS finds application in industries such as banking, financial services and insurance (BFSI), information technology and telecom, automotive, healthcare, aerospace & defense, retail, government, and others.

The machine learning as a service (MLaaS) market research report is one of a series of new reports from The Business Research Company that provides machine learning as a service (MLaaS) market statistics, including machine learning as a service (MLaaS) industry global market size, regional shares, competitors with machine learning as a service (MLaaS) market share, detailed machine learning as a service (MLaaS) market segments, market trends, and opportunities, and any further data you may need to thrive in the machine learning as a service (MLaaS) industry. This machine learning as a service (MLaaS) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The machine learning as a service (MLaaS) market size has grown exponentially in recent years. It will grow from $57.88 billion in 2024 to $79.23 billion in 2025 at a compound annual growth rate (CAGR) of 36.9%. The growth in the historic period can be attributed to big data growth, increased adoption of machine learning, advancements in deep learning, rise of data science and AI, and increased awareness of predictive analytics.

The machine learning as a service (MLaaS) market size is expected to see exponential growth in the next few years. It will grow to $278.65 billion in 2029 at a compound annual growth rate (CAGR) of 36.9%. The growth in the forecast period can be attributed to increasing industry-specific solutions, rise of explainable ai, expansion of autonomous systems, hybrid cloud deployments, and enhanced security and privacy features. Major trends in the forecast period include vertical-specific machine learning platforms, AI-enhanced automation, democratization of machine learning, collaborative machine learning, and continuous learning systems.

The increasing integration of cloud technologies is expected to drive the growth of the machine learning as a service (MLaaS) market in the future. Cloud technology integration involves connecting various cloud-based systems into a cohesive whole or linking cloud-based systems with on-premises systems. Cloud technologies leverage MLaaS to provide users with accessible, scalable, and cost-effective machine learning capabilities. This enables users to utilize pre-trained models and tools for various applications without requiring extensive expertise in machine learning or infrastructure management. For example, in December 2023, Eurostat reported that 42.5% of EU enterprises purchased cloud computing services, primarily for email, file storage, and office software, marking a 4.2 percentage point increase from 2021. Additionally, data from Augusta Free Press in December 2022 indicated that global digital transformation spending reached approximately $1.85 trillion, a 16% increase from the previous year. Consequently, the increasing integration of cloud technologies is propelling the growth of the MLaaS market.

Major companies in the machine learning as a service (MLaaS) market are innovating by offering services such as Kubeflow as a service to democratize AI development. Kubeflow-as-a-Service (KFaaS) is a managed environment that enables users to utilize Kubeflow's capabilities for machine learning (ML) projects without managing the underlying infrastructure. For example, in February 2023, Civo, a UK-based web hosting company, introduced Kubeflow as a service. With a fully managed development environmentsuch as Civo KFaaS, users can access the service provider's compute capabilities without dealing with infrastructure management. KFaaS streamlines ML project workflows by integrating with popular ML tools and platforms such as TensorFlow, PyTorch, RStudio, Visual Studio Code, and Jupyter notebooks.

In March 2024, Cisco Systems, Inc., a U.S.-based technology company, acquired Splunk Inc. for around $28 billion. This acquisition strengthens Cisco's data analytics and cybersecurity capabilities, enhancing its ability to provide real-time network visibility and threat detection. By integrating Splunk's expertise, Cisco aims to advance its cybersecurity solutions, solidify its market position, and offer customers powerful tools for data management and analysis. Splunk Inc., also based in the U.S., specializes in software that utilizes machine learning for data analytics.

Major companies operating in the machine learning as a service (MLaaS) market report are Amazon.com Inc., Alphabet Inc., Microsoft Corporation, Meta Platforms Inc., Intel Corporation, International Business Machines Corporation, Oracle Corporation, Mitsubishi Electric Corporation, SAP SE, Hewlett Packard Enterprise Company, NVIDIA Corporation, Tata Consultancy Services Limited, Infosys Limited, Wipro Ltd., Fair Isaac Corporation, Databricks Inc., TIBCO Software Inc., Cyient Ltd., Dataiku Ltd., H2O.ai Inc., Iflowsoft Solutions Inc., BigML Inc., AscentCore, MonkeyLearn Inc., Sift Science Inc., Yottamine Analytics LLC

North America was the largest region in the machine learning as a service (MLaaS) market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the machine learning as a service (mlaas) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the machine learning as a service (mlaas) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The machine learning as a service (MLaaS) market includes revenues earned by entities by providing services such as predictive analytics, natural language processing, image and video recognition, speech recognition, recommendation systems, and anomaly detection services. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The machine learning as a service (MLaaS) market consists of sales of central processing units (CPUs), graphic processing units (GPUs), and field-programmable gate arrays (FPGAs). Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Machine Learning As A Service (MLaaS) Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on machine learning as a service (mlaas) market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for machine learning as a service (mlaas) ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The machine learning as a service (mlaas) market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. Machine Learning As A Service (MLaaS) Market Characteristics

3. Machine Learning As A Service (MLaaS) Market Trends And Strategies

4. Machine Learning As A Service (MLaaS) Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Machine Learning As A Service (MLaaS) Growth Analysis And Strategic Analysis Framework

6. Machine Learning As A Service (MLaaS) Market Segmentation

7. Machine Learning As A Service (MLaaS) Market Regional And Country Analysis

8. Asia-Pacific Machine Learning As A Service (MLaaS) Market

9. China Machine Learning As A Service (MLaaS) Market

10. India Machine Learning As A Service (MLaaS) Market

11. Japan Machine Learning As A Service (MLaaS) Market

12. Australia Machine Learning As A Service (MLaaS) Market

13. Indonesia Machine Learning As A Service (MLaaS) Market

14. South Korea Machine Learning As A Service (MLaaS) Market

15. Western Europe Machine Learning As A Service (MLaaS) Market

16. UK Machine Learning As A Service (MLaaS) Market

17. Germany Machine Learning As A Service (MLaaS) Market

18. France Machine Learning As A Service (MLaaS) Market

19. Italy Machine Learning As A Service (MLaaS) Market

20. Spain Machine Learning As A Service (MLaaS) Market

21. Eastern Europe Machine Learning As A Service (MLaaS) Market

22. Russia Machine Learning As A Service (MLaaS) Market

23. North America Machine Learning As A Service (MLaaS) Market

24. USA Machine Learning As A Service (MLaaS) Market

25. Canada Machine Learning As A Service (MLaaS) Market

26. South America Machine Learning As A Service (MLaaS) Market

27. Brazil Machine Learning As A Service (MLaaS) Market

28. Middle East Machine Learning As A Service (MLaaS) Market

29. Africa Machine Learning As A Service (MLaaS) Market

30. Machine Learning As A Service (MLaaS) Market Competitive Landscape And Company Profiles

31. Machine Learning As A Service (MLaaS) Market Other Major And Innovative Companies

32. Global Machine Learning As A Service (MLaaS) Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Machine Learning As A Service (MLaaS) Market

34. Recent Developments In The Machine Learning As A Service (MLaaS) Market

35. Machine Learning As A Service (MLaaS) Market High Potential Countries, Segments and Strategies

36. Appendix

(주)글로벌인포메이션 02-2025-2992 kr-info@giikorea.co.kr
ⓒ Copyright Global Information, Inc. All rights reserved.
PC버전 보기