시장보고서
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1129998

세계의 MLaaS(Machine Learning as a Service) 시장 : 성장, 전망, 경쟁 분석(2022-2030년)

Machine Learning As A Service Market - Growth, Future Prospects and Competitive Analysis, 2022 - 2030

발행일: | 리서치사: Acute Market Insights Private Limited | 페이지 정보: 영문 115 Pages | 배송안내 : 1-2일 (영업일 기준)

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세계의 MLaaS(Machine Learning as a Service) 시장 규모는 2021년 23억 840만 달러에서 2022-2030년의 예측 기간 중 CAGR 35.5%로 성장할 것으로 예측되고 있습니다.

세계의 MLaaS(Machine Learning as a Service) 시장을 조사했으며, 시장 개요, 시장 성장에 대한 각종 영향요인 분석, 시장 규모의 추이·예측, 각종 부문·지역/주요 국가별 내역, 주요 기업의 개요 등을 정리하여 전해드립니다.

목차

제1장 서문

제2장 개요

제3장 MLaaS(Machine Learning as a Service) 시장 : 사업 전망·시장 역학

  • 시장 규모 : 2020-2030년
  • 시장 역학
    • 시장 촉진요인
    • 시장 억제요인
    • 주요 과제
    • 주요 기회
  • 촉진요인·억제요인의 영향 분석
  • 시소 분석
  • Porter's Five Force 모델
  • PESTEL 분석

제4장 MLaaS(Machine Learning as a Service) 시장 : 도입 모델별

  • 시장 개요
  • 성장·매출 분석 : 2021년·2030년
  • 시장 세분화
    • 클라우드 기반
    • 온프레미스

제5장 MLaaS(Machine Learning as a Service) 시장 : 용도별

  • 시장 개요
  • 성장·매출 분석 : 2021년·2030년
  • 시장 세분화
    • 마케팅·광고
    • 예지보전
    • 증강현실
    • 부정 탐지·리스크 애널리틱스
    • 네트워크 애널리틱스·자동 트래픽 관리
    • 기타(데이터 분류·세일즈 수명주기관리 등)

제6장 MLaaS(Machine Learning as a Service) 시장 : 최종사용자별

  • 시장 개요
  • 성장·매출 분석 : 2021년·2030년
  • 시장 세분화
    • BFSI
    • 소매
    • 통신
    • 헬스케어
    • 제조
    • 기타(항공우주 & 방위·정부 등)

제7장 북미의 MLaaS(Machine Learning as a Service) 시장

  • 시장 개요
  • MLaaS(Machine Learning as a Service) 시장 : 도입 모델별
  • MLaaS(Machine Learning as a Service) 시장 : 용도별
  • MLaaS(Machine Learning as a Service) 시장 : 최종사용자별
  • MLaaS(Machine Learning as a Service) 시장 : 지역별

제8장 영국 및 EU의 MLaaS(Machine Learning as a Service) 시장

  • 시장 개요
  • MLaaS(Machine Learning as a Service) 시장 : 도입 모델별
  • MLaaS(Machine Learning as a Service) 시장 : 용도별
  • MLaaS(Machine Learning as a Service) 시장 : 최종사용자별
  • MLaaS(Machine Learning as a Service) 시장 : 지역별

제9장 아시아태평양의 MLaaS(Machine Learning as a Service) 시장

  • 시장 개요
  • MLaaS(Machine Learning as a Service) 시장 : 도입 모델별
  • MLaaS(Machine Learning as a Service) 시장 : 용도별
  • MLaaS(Machine Learning as a Service) 시장 : 최종사용자별
  • MLaaS(Machine Learning as a Service) 시장 : 지역별

제10장 라틴아메리카의 MLaaS(Machine Learning as a Service) 시장

  • 시장 개요
  • MLaaS(Machine Learning as a Service) 시장 : 도입 모델별
  • MLaaS(Machine Learning as a Service) 시장 : 용도별
  • MLaaS(Machine Learning as a Service) 시장 : 최종사용자별
  • MLaaS(Machine Learning as a Service) 시장 : 지역별

제11장 중동 및 아프리카의 MLaaS(Machine Learning as a Service) 시장

  • 시장 개요
  • MLaaS(Machine Learning as a Service) 시장 : 도입 모델별
  • MLaaS(Machine Learning as a Service) 시장 : 용도별
  • MLaaS(Machine Learning as a Service) 시장 : 최종사용자별
  • MLaaS(Machine Learning as a Service) 시장 : 지역별

제12장 기업 개요

  • Google Inc.
  • Microsoft Corporation
  • IBM Corporation
  • Amazon Web Services
  • FICO
  • Yottamine Analytics
  • Ersatz Labs Inc.
  • Predictron Labs Ltd
  • H2O.ai
  • Sift-Science
KSA 22.10.07

Growing Adoption of Cloud-based Technologies to boost the demand for Machine Learning as a Service Market

The machine learning as a service market worldwide is estimated to grow with a CAGR of 35.5% throughout the forecast period from 2022 to 2030, starting from US$ 2,308.4 Mn in 2021. Growing cloud-based technologies need to understand consumer behavior and rising technological advancements are the major factors driving the market growth. Massive technological disruptions along with digitization is another factor driving the market growth. Wide industrial applications of MLaaS is one of major reasons for the market growth. Growth of Big Data industry and Internet of Things (IoT) will also boost the demand for the market. Therefore, we assume that the machine learning as a service market will show tremendous growth throughout the forecast period.

Network Analytics and Automated Traffic Management Segment to be the Fastest Growing Segment

The machine learning as a service market by application is segmented into marketing & advertising, predictive maintenance, augmented reality, fraud detection & risk analytics, and network analytics & automated traffic management. The network analytics & automated traffic management segment will be the fastest growing segment during the forecast period. As machine learning is an essential tool for automated traffic management & network analytics due to which the segment will grow. Growth of IT infrastructure and introduction of Big Data analytics in the segment is another factor for the segment growth. Therefore, we expect that segment will show huge growth in years to come.

Asia Pacific to be the Fastest Growing

In 2021, North America dominated the machine learning as a service market. North America contributed to around 1/2 of the global market revenue share in the same year. The market growth here is attributed to rapid adoption of concepts such as Big Data Analytics, IoT and others along with presence of major market players. On the other hand, we assume that Asia Pacific region will be the fastest growing region during the forecast period. Rising technological advancements and rapid adoption of cloud-based services in the region are the major factors for the fastest growth of Asia Pacific. Rising government investments in the emerging economies is another factor for the fastest growth of the region.

Some of the prominent players operating in the machine learning as a service market: Google Inc., Microsoft Corporation, IBM Corporation, Amazon Web Services, FICO, Yottamine Analytics, Ersatz Labs Inc., Predictron Labs Ltd, H2O.ai, and Sift-Science among others.

Historical & Forecast Period:

This study report represents analysis of each segment from 2020 to 2030 considering 2021 as the base year. Compounded Annual Growth Rate (CAGR) for each of the respective segments estimated for the forecast period of 2022 to 2030.

The current report comprises of quantitative market estimations for each micro market for every geographical region and qualitative market analysis such as micro and macro environment analysis, market trends, competitive intelligence, segment analysis, porters five force model, top winning strategies, top investment markets, emerging trends and technological analysis, case studies, strategic conclusions and recommendations and other key market insights.

Research Methodology

The complete research study was conducted in three phases, namely: secondary research, primary research, and expert panel review. key data point that enables the estimation of Machine Learning As A Service market are as follows:

  • Research and development budgets of manufacturers and government spending
  • Revenues of key companies in the market segment
  • Number of end users and consumption volume, price and value.
  • Geographical revenues generate by countries considered in the report
  • Micro and macro environment factors that are currently influencing the Machine Learning As A Service market and their expected impact during the forecast period.

Market forecast was performed through proprietary software that analyzes various qualitative and quantitative factors. Growth rate and CAGR were estimated through intensive secondary and primary research. Data triangulation across various data points provides accuracy across various analyzed market segments in the report. Application of both top down and bottom-up approach for validation of market estimation assures logical, methodical and mathematical consistency of the quantitative data.

ATTRIBUTE DETAILS

  • Research Period: 2020-2030
  • Base Year: 2021
  • Forecast Period: 2022-2030
  • Historical Year: 2020
  • Unit: USD Million

Segmentation

Deployment Model

  • Cloud-based
  • On-premise

Application

  • Marketing & Advertising
  • Predictive Maintenance
  • Augmented Reality
  • Fraud Detection and Risk Analytics
  • Network Analytics and Automated Traffic Management
  • Others (Data Classification, Sales Lifecycle Management, etc.)

End-User

  • BFSI
  • Retail
  • Telecom
  • Healthcare
  • Manufacturing
  • Others (Aerospace & Defense, Government, etc.)

Region Segment (2020-2030; US$ Million)

  • North America
    • U.S.
    • Canada
    • Rest of North America
  • UK and European Union
    • UK
    • Germany
    • Spain
    • Italy
    • France
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • Australia
    • South Korea
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East and Africa
    • GCC
    • Africa
    • Rest of Middle East and Africa

Global Impact of COVID-19 Segment (2020-2021; US$ Million )

  • Pre COVID-19 situation
  • Post COVID-19 situation

Key questions answered in this report:

  • What are the key micro and macro environmental factors that are impacting the growth of Machine Learning As A Service market?
  • What are the key investment pockets with respect to product segments and geographies currently and during the forecast period?
  • Estimated forecast and market projections up to 2030.
  • Which segment accounts for the fastest CAGR during the forecast period?
  • Which market segment holds a larger market share and why?
  • Are low and middle-income economies investing in the Machine Learning As A Service market?
  • Which is the largest regional market for Machine Learning As A Service market?
  • What are the market trends and dynamics in emerging markets such as Asia Pacific, Latin America, and Middle East & Africa?
  • Which are the key trends driving Machine Learning As A Service market growth?
  • Who are the key competitors and what are their key strategies to enhance their market presence in the Machine Learning As A Service market worldwide?

Table of Contents

1. Preface

  • 1.1. Report Description
    • 1.1.1. Purpose of the Report
    • 1.1.2. Target Audience
    • 1.1.3. Key Offerings
  • 1.2. Market Segmentation
  • 1.3. Research Methodology
    • 1.3.1. Phase I - Secondary Research
    • 1.3.2. Phase II - Primary Research
    • 1.3.3. Phase III - Expert Panel Review
    • 1.3.4. Assumptions
    • 1.3.5. Approach Adopted

2. Executive Summary

  • 2.1. Market Snapshot: Global Machine Learning As A Service Market
  • 2.2. Global Machine Learning As A Service Market, By Deployment Model, 2021 (US$ Million)
  • 2.3. Global Machine Learning As A Service Market, By Application, 2021 (US$ Million)
  • 2.4. Global Machine Learning As A Service Market, By End-User, 2021 (US$ Million)
  • 2.5. Global Machine Learning As A Service Market, By Geography, 2021 (US$ Million)
  • 2.6. Impact of Covid 19
  • 2.7. Attractive Investment Proposition by Geography, 2021
  • 2.8. Competitive Analysis
    • 2.8.1. Market Positioning of Key Machine Learning As A Service Market Vendors
    • 2.8.2. Strategies Adopted by Machine Learning As A Service Market Vendors
    • 2.8.3. Key Industry Strategies

3. Machine Learning As A Service Market: Business Outlook & Market Dynamics

  • 3.1. Introduction
  • 3.2. Global Machine Learning As A Service Market Value, 2020 - 2030, (US$ Million)
  • 3.3. Market Dynamics
    • 3.3.1. Market Drivers
    • 3.3.2. Market Restraints
    • 3.3.3. Key Challenges
    • 3.3.4. Key Opportunities
  • 3.4. Impact Analysis of Drivers and Restraints
  • 3.5. See-Saw Analysis
  • 3.6. Porter's Five Force Model
    • 3.6.1. Supplier Power
    • 3.6.2. Buyer Power
    • 3.6.3. Threat Of Substitutes
    • 3.6.4. Threat Of New Entrants
    • 3.6.5. Competitive Rivalry
  • 3.7. PESTEL Analysis
    • 3.7.1. Political Landscape
    • 3.7.2. Economic Landscape
    • 3.7.3. Technology Landscape
    • 3.7.4. Legal Landscape
    • 3.7.5. Social Landscape

4. Machine Learning As A Service Market: By Deployment Model, 2020-2030, USD (Million)

  • 4.1. Market Overview
  • 4.2. Growth & Revenue Analysis: 2021 Versus 2030
  • 4.3. Market Segmentation
    • 4.3.1. Cloud-based
    • 4.3.2. On-premise

5. Machine Learning As A Service Market: By Application, 2020-2030, USD (Million)

  • 5.1. Market Overview
  • 5.2. Growth & Revenue Analysis: 2021 Versus 2030
  • 5.3. Market Segmentation
    • 5.3.1. Marketing & Advertising
    • 5.3.2. Predictive Maintenance
    • 5.3.3. Augmented Reality
    • 5.3.4. Fraud Detection and Risk Analytics
    • 5.3.5. Network Analytics and Automated Traffic Management
    • 5.3.6. Others (Data Classification, Sales Lifecycle Management, etc.)

6. Machine Learning As A Service Market: By End-User, 2020-2030, USD (Million)

  • 6.1. Market Overview
  • 6.2. Growth & Revenue Analysis: 2021 Versus 2030
  • 6.3. Market Segmentation
    • 6.3.1. BFSI
    • 6.3.2. Retail
    • 6.3.3. Telecom
    • 6.3.4. Healthcare
    • 6.3.5. Manufacturing
    • 6.3.6. Others (Aerospace & Defense, Government, etc.)

7. North America Machine Learning As A Service Market, 2020-2030, USD (Million)

  • 7.1. Market Overview
  • 7.2. Machine Learning As A Service Market: By Deployment Model, 2020-2030, USD (Million)
  • 7.3. Machine Learning As A Service Market: By Application, 2020-2030, USD (Million)
  • 7.4. Machine Learning As A Service Market: By End-User, 2020-2030, USD (Million)
  • 7.5.Machine Learning As A Service Market: By Region, 2020-2030, USD (Million)
    • 7.5.1.North America
      • 7.5.1.1. U.S.
      • 7.5.1.2. Canada
      • 7.5.1.3. Rest of North America

8. UK and European Union Machine Learning As A Service Market, 2020-2030, USD (Million)

  • 8.1. Market Overview
  • 8.2. Machine Learning As A Service Market: By Deployment Model, 2020-2030, USD (Million)
  • 8.3. Machine Learning As A Service Market: By Application, 2020-2030, USD (Million)
  • 8.4. Machine Learning As A Service Market: By End-User, 2020-2030, USD (Million)
  • 8.5.Machine Learning As A Service Market: By Region, 2020-2030, USD (Million)
    • 8.5.1.UK and European Union
      • 8.5.1.1. UK
      • 8.5.1.2. Germany
      • 8.5.1.3. Spain
      • 8.5.1.4. Italy
      • 8.5.1.5. France
      • 8.5.1.6. Rest of Europe

9. Asia Pacific Machine Learning As A Service Market, 2020-2030, USD (Million)

  • 9.1. Market Overview
  • 9.2. Machine Learning As A Service Market: By Deployment Model, 2020-2030, USD (Million)
  • 9.3. Machine Learning As A Service Market: By Application, 2020-2030, USD (Million)
  • 9.4. Machine Learning As A Service Market: By End-User, 2020-2030, USD (Million)
  • 9.5.Machine Learning As A Service Market: By Region, 2020-2030, USD (Million)
    • 9.5.1.Asia Pacific
      • 9.5.1.1. China
      • 9.5.1.2. Japan
      • 9.5.1.3. India
      • 9.5.1.4. Australia
      • 9.5.1.5. South Korea
      • 9.5.1.6. Rest of Asia Pacific

10. Latin America Machine Learning As A Service Market, 2020-2030, USD (Million)

  • 10.1. Market Overview
  • 10.2. Machine Learning As A Service Market: By Deployment Model, 2020-2030, USD (Million)
  • 10.3. Machine Learning As A Service Market: By Application, 2020-2030, USD (Million)
  • 10.4. Machine Learning As A Service Market: By End-User, 2020-2030, USD (Million)
  • 10.5.Machine Learning As A Service Market: By Region, 2020-2030, USD (Million)
    • 10.5.1.Latin America
      • 10.5.1.1. Brazil
      • 10.5.1.2. Mexico
      • 10.5.1.3. Rest of Latin America

11. Middle East and Africa Machine Learning As A Service Market, 2020-2030, USD (Million)

  • 11.1. Market Overview
  • 11.2. Machine Learning As A Service Market: By Deployment Model, 2020-2030, USD (Million)
  • 11.3. Machine Learning As A Service Market: By Application, 2020-2030, USD (Million)
  • 11.4. Machine Learning As A Service Market: By End-User, 2020-2030, USD (Million)
  • 11.5.Machine Learning As A Service Market: By Region, 2020-2030, USD (Million)
    • 11.5.1.Middle East and Africa
      • 11.5.1.1. GCC
      • 11.5.1.2. Africa
      • 11.5.1.3. Rest of Middle East and Africa

12. Company Profile

  • 12.1. Google Inc.
    • 12.1.1. Company Overview
    • 12.1.2. Financial Performance
    • 12.1.3. Product Portfolio
    • 12.1.4. Strategic Initiatives
  • 12.2. Microsoft Corporation
    • 12.2.1. Company Overview
    • 12.2.2. Financial Performance
    • 12.2.3. Product Portfolio
    • 12.2.4. Strategic Initiatives
  • 12.3. IBM Corporation
    • 12.3.1. Company Overview
    • 12.3.2. Financial Performance
    • 12.3.3. Product Portfolio
    • 12.3.4. Strategic Initiatives
  • 12.4. Amazon Web Services
    • 12.4.1. Company Overview
    • 12.4.2. Financial Performance
    • 12.4.3. Product Portfolio
    • 12.4.4. Strategic Initiatives
  • 12.5. FICO
    • 12.5.1. Company Overview
    • 12.5.2. Financial Performance
    • 12.5.3. Product Portfolio
    • 12.5.4. Strategic Initiatives
  • 12.6. Yottamine Analytics
    • 12.6.1. Company Overview
    • 12.6.2. Financial Performance
    • 12.6.3. Product Portfolio
    • 12.6.4. Strategic Initiatives
  • 12.7. Ersatz Labs Inc.
    • 12.7.1. Company Overview
    • 12.7.2. Financial Performance
    • 12.7.3. Product Portfolio
    • 12.7.4. Strategic Initiatives
  • 12.8. Predictron Labs Ltd
    • 12.8.1. Company Overview
    • 12.8.2. Financial Performance
    • 12.8.3. Product Portfolio
    • 12.8.4. Strategic Initiatives
  • 12.9. H2O.ai
    • 12.9.1. Company Overview
    • 12.9.2. Financial Performance
    • 12.9.3. Product Portfolio
    • 12.9.4. Strategic Initiatives
  • 12.10. Sift-Science
    • 12.10.1. Company Overview
    • 12.10.2. Financial Performance
    • 12.10.3. Product Portfolio
    • 12.10.4. Strategic Initiatives
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