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머신러닝 : 세계 시장 전망(2019-2027년)

Machine Learning - Global Market Outlook (2019-2027)

리서치사 Stratistics Market Research Consulting
발행일 2020년 06월 상품 코드 942532
페이지 정보 영문 170 Pages
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머신러닝 : 세계 시장 전망(2019-2027년) Machine Learning - Global Market Outlook (2019-2027)
발행일 : 2020년 06월 페이지 정보 : 영문 170 Pages

본 상품은 영문 자료로 한글과 영문목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문목차를 참고해주시기 바랍니다.

세계 머신러닝 시장은 예측기간 동안 42.1%의 연평균 복합 성장률(CAGR)로 성장을 지속하여 2019년 29억 6,000만 달러에서 2027년에는 491억 3,000만 달러 규모로 성장할 것으로 예측됩니다. 클라우드 기반 서비스 사용 증가와 기술 발전이 시장 성장을 견인하는 주요인입니다. 그러나 머신러닝에 숙련된 직원 부족이 시장 성장을 억제하고 있습니다.

세계의 머신러닝(Machine Learning) 시장을 조사했으며, 시장 및 제품 개요, 시장 성장 영향요인 및 시장 기회 분석, 서비스·도입 형태·조직 규모·구성요소·최종사용자·지역/주요 국가별 동향, 시장 규모 추이 및 예측, 경쟁 환경, 주요 기업 프로파일 등을 정리하여 전해드립니다.

목차

제1장 개요

제2장 서문

제3장 시장 동향 분석

  • 서론
  • 성장 촉진요인
  • 성장 억제요인
  • 시장 기회
  • 위협
  • 최종사용자 분석
  • 신흥 시장
  • 코로나19(COVID-19)의 영향

제4장 Porter's Five Forces 분석

제5장 세계의 머신러닝 시장 : 서비스별

  • 관리 서비스
  • 전문 서비스

제6장 세계의 머신러닝 시장 : 전개 형태별

  • 온프레미스(On-premise)
  • 클라우드

제7장 세계의 머신러닝 시장 : 조직 규모별

  • 중소기업(SME)
  • 대기업

제8장 세계의 머신러닝 시장 : 구성요소별

  • 소프트웨어
  • 서비스
  • 하드웨어

제9장 세계의 머신러닝 시장 : 최종사용자별

  • 정부 및 방위
    • 위협 인텔리전스
    • 자율 방어 시스템
    • 기타
  • 소매
    • Upsells/Cross Channel Marketing
    • 세분화 및 타겟팅
    • 추천 엔진
    • 재고 계획
    • 기타
  • 의료 및 생명과학
    • 질병 특정 및 진단
    • 신약 개발/제조
    • 영상 분석
    • 맞춤형 치료
    • 기타
  • 통신
    • 네트워크 보안
    • 네트워크 최적화
    • 고객 분석
    • 기타 통신
  • 제조
    • 수요 예측
    • 예지보전
    • 매출 예상
    • 공급망 관리
    • 기타
  • 은행/금융서비스/보험(BFSI)
    • 고객 세분화
    • 디지털 지원
    • 사기 및 위험 관리
    • 투자 예측
    • 영업 및 마케팅 캠페인 관리
    • 기타
  • 에너지 및 유틸리티
    • 탄소 배출
    • 전력/에너지 사용 분석
    • 지진 데이터 처리
    • 스마트 그리드 관리
    • 기타
  • 기타 용도
    • 농업
    • 자동차 및 운송
    • 교육
    • 교육
    • 법률
    • 미디어 및 엔터테인먼트

제10장 세계의 머신러닝 시장 : 지역

  • 북미
    • 미국
    • 캐나다
    • 멕시코
  • 유럽
    • 독일
    • 영국
    • 이탈리아
    • 프랑스
    • 스페인
    • 기타 유럽
  • 아시아태평양
    • 일본
    • 중국
    • 인도
    • 호주
    • 뉴질랜드
    • 한국
    • 기타
  • 남미
    • 아르헨티나
    • 브라질
    • 칠레
    • 기타
  • 중동 및 아프리카
    • 사우디아라비아
    • 아랍에미리트(UAE)
    • 카타르
    • 남아프리카공화국
    • 기타

제11장 주요 발전

  • 계약, 제휴, 협업, 합작투자(JV)
  • 인수합병(M&A)
  • 신제품 출시
  • 확장
  • 기타 주요 전략

제12장 기업 개요

  • Amazon Web Services Inc
  • Baidu Inc
  • BigML Inc
  • Fair Isaac Corporation
  • Google Inc
  • H2o.AI
  • Hewlett Packard Enterprise Development LP
  • Intel Corporation
  • International Business Machines Corporation
  • Microsoft Corporation
  • SAP SE
  • SAS Institute Inc
LSH 20.07.09

List of Tables

  • Table 1 Global Machine Learning Market Outlook, By Region (2018-2027) ($MN)
  • Table 2 Global Machine Learning Market Outlook, By Service (2018-2027) ($MN)
  • Table 3 Global Machine Learning Market Outlook, By Managed Services (2018-2027) ($MN)
  • Table 4 Global Machine Learning Market Outlook, By Professional Services (2018-2027) ($MN)
  • Table 5 Global Machine Learning Market Outlook, By Deployment Mode (2018-2027) ($MN)
  • Table 6 Global Machine Learning Market Outlook, By On-Premises (2018-2027) ($MN)
  • Table 7 Global Machine Learning Market Outlook, By Cloud (2018-2027) ($MN)
  • Table 8 Global Machine Learning Market Outlook, By Organization Size (2018-2027) ($MN)
  • Table 9 Global Machine Learning Market Outlook, By Small & Medium Sized Enterprises (SMEs) (2018-2027) ($MN)
  • Table 10 Global Machine Learning Market Outlook, By Large Enterprises (2018-2027) ($MN)
  • Table 11 Global Machine Learning Market Outlook, By Component (2018-2027) ($MN)
  • Table 12 Global Machine Learning Market Outlook, By Software (2018-2027) ($MN)
  • Table 13 Global Machine Learning Market Outlook, By Services (2018-2027) ($MN)
  • Table 14 Global Machine Learning Market Outlook, By Hardware (2018-2027) ($MN)
  • Table 15 Global Machine Learning Market Outlook, By End User (2018-2027) ($MN)
  • Table 16 Global Machine Learning Market Outlook, By Government and Defense (2018-2027) ($MN)
  • Table 17 Global Machine Learning Market Outlook, By Threat Intelligence (2018-2027) ($MN)
  • Table 18 Global Machine Learning Market Outlook, By Autonomous Defense System (2018-2027) ($MN)
  • Table 19 Global Machine Learning Market Outlook, By Other Government and Defenses (2018-2027) ($MN)
  • Table 20 Global Machine Learning Market Outlook, By Retail (2018-2027) ($MN)
  • Table 21 Global Machine Learning Market Outlook, By Upsells and Cross Channel Marketing (2018-2027) ($MN)
  • Table 22 Global Machine Learning Market Outlook, By Segmentation and Targeting (2018-2027) ($MN)
  • Table 23 Global Machine Learning Market Outlook, By Recommendation Engines (2018-2027) ($MN)
  • Table 24 Global Machine Learning Market Outlook, By Inventory Planning (2018-2027) ($MN)
  • Table 25 Global Machine Learning Market Outlook, By Other Retails (2018-2027) ($MN)
  • Table 26 Global Machine Learning Market Outlook, By Healthcare and Life Sciences (2018-2027) ($MN)
  • Table 27 Global Machine Learning Market Outlook, By Disease Identification and Diagnosis (2018-2027) ($MN)
  • Table 28 Global Machine Learning Market Outlook, By Drug Discovery/Manufacturing (2018-2027) ($MN)
  • Table 29 Global Machine Learning Market Outlook, By Image Analytics (2018-2027) ($MN)
  • Table 30 Global Machine Learning Market Outlook, By Personalized Treatment (2018-2027) ($MN)
  • Table 31 Global Machine Learning Market Outlook, By Other Healthcare and Life Sciences (2018-2027) ($MN)
  • Table 32 Global Machine Learning Market Outlook, By Telecommunications (2018-2027) ($MN)
  • Table 33 Global Machine Learning Market Outlook, By Network Security (2018-2027) ($MN)
  • Table 34 Global Machine Learning Market Outlook, By Network Optimization (2018-2027) ($MN)
  • Table 35 Global Machine Learning Market Outlook, By Customer Analytics (2018-2027) ($MN)
  • Table 36 Global Machine Learning Market Outlook, By Other Telecommunications (2018-2027) ($MN)
  • Table 37 Global Machine Learning Market Outlook, By Manufacturing (2018-2027) ($MN)
  • Table 38 Global Machine Learning Market Outlook, By Demand Forecasting (2018-2027) ($MN)
  • Table 39 Global Machine Learning Market Outlook, By Predictive Maintenance (2018-2027) ($MN)
  • Table 40 Global Machine Learning Market Outlook, By Revenue Estimation (2018-2027) ($MN)
  • Table 41 Global Machine Learning Market Outlook, By Supply Chain Management (2018-2027) ($MN)
  • Table 42 Global Machine Learning Market Outlook, By Other Manufacturings (2018-2027) ($MN)
  • Table 43 Global Machine Learning Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2018-2027) ($MN)
  • Table 44 Global Machine Learning Market Outlook, By Customer Segmentation (2018-2027) ($MN)
  • Table 45 Global Machine Learning Market Outlook, By Digital Assistance (2018-2027) ($MN)
  • Table 46 Global Machine Learning Market Outlook, By Fraud and Risk Management (2018-2027) ($MN)
  • Table 47 Global Machine Learning Market Outlook, By Investment Prediction (2018-2027) ($MN)
  • Table 48 Global Machine Learning Market Outlook, By Sales and Marketing Campaign Management (2018-2027) ($MN)
  • Table 49 Global Machine Learning Market Outlook, By Other Banking, Financial Services, and Insurance (BFSI)s (2018-2027) ($MN)
  • Table 50 Global Machine Learning Market Outlook, By Energy and Utilities (2018-2027) ($MN)
  • Table 51 Global Machine Learning Market Outlook, By Carbon Emission (2018-2027) ($MN)
  • Table 52 Global Machine Learning Market Outlook, By Power/Energy Usage Analytics (2018-2027) ($MN)
  • Table 53 Global Machine Learning Market Outlook, By Seismic Data Processing (2018-2027) ($MN)
  • Table 54 Global Machine Learning Market Outlook, By Smart Grid Management (2018-2027) ($MN)
  • Table 55 Global Machine Learning Market Outlook, By Other Energy and Utilities (2018-2027) ($MN)
  • Table 56 Global Machine Learning Market Outlook, By Other Applications (2018-2027) ($MN)
  • Table 57 Global Machine Learning Market Outlook, By Agriculture (2018-2027) ($MN)
  • Table 58 Global Machine Learning Market Outlook, By Automotive & Transportation (2018-2027) ($MN)
  • Table 59 Global Machine Learning Market Outlook, By Education (2018-2027) ($MN)
  • Table 60 Global Machine Learning Market Outlook, By Education (2018-2027) ($MN)
  • Table 61 Global Machine Learning Market Outlook, By Law (2018-2027) ($MN)
  • Table 62 Global Machine Learning Market Outlook, By Media and Entertainment (2018-2027) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

According to Stratistics MRC, the Global Machine Learning Market is accounted for $2.96 billion in 2019 and is expected to reach $49.13 billion by 2027 growing at a CAGR of 42.1% during the forecast period. Increase in growth of adoption of cloud-based services and technological advancements are the major factors driving the market growth. However, lack of skilled employees is restraining the market growth.

Machine Learning (ML) is a sub-portion of Artificial Intelligence (AI). This scientific concept studies computational learning, statistics and algorithms models of computers used to perform specific tasks without input of instructions, and recognition of patterns in AI. Generally, it investigates and analysis construction of statistical data and algorithms and estimates forecasts on analyzed data. Different applications of ML include Optical Character Recognition (OCR), e-mail filtering, detection of network intruders, learning to rank, and computer vision.

Based on end user, the healthcare and life sciences segment is likely to have a huge demand due to increase in adoption of this technology in emerging healthcare areas such as prediction of the probability of death of a person and its usage for diagnosis. By geography, Asia Pacific is going to have a lucrative growth during the forecast period due to its increase in adoption in emerging markets with massive talent base countries such as China and India and increasing adoption of advanced technologies.

Some of the key players profiled in the Machine Learning Market include Amazon Web Services Inc, Baidu Inc, BigML Inc, Fair Isaac Corporation, Google Inc, H2o.AI, Hewlett Packard Enterprise Development LP, Intel Corporation, International Business Machines Corporation, Microsoft Corporation, SAP SE and SAS Institute Inc.

Services Covered:

  • Managed Services
  • Professional Services

Deployment Modes Covered:

  • On-Premises
  • Cloud

Organization Sizes Covered:

  • Small & Medium Sized Enterprises (SMEs)
  • Large Enterprises

Components Covered:

  • Software
  • Services
  • Hardware

End Users Covered:

  • Government and Defense
  • Retail
  • Healthcare and Life Sciences
  • Telecommunications
  • Manufacturing
  • Banking, Financial Services, and Insurance (BFSI)
  • Energy and Utilities
  • Other Applications

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2018, 2019, 2020, 2024 and 2027
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic analysis: Drivers and Constraints, Product/Technology Analysis, Porter's five forces analysis, SWOT analysis, etc.
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking

Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Machine Learning Market, By Service

  • 5.1 Introduction
  • 5.2 Managed Services
  • 5.3 Professional Services

6 Global Machine Learning Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 On-Premises
  • 6.3 Cloud

7 Global Machine Learning Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Small & Medium Sized Enterprises (SMEs)
  • 7.3 Large Enterprises

8 Global Machine Learning Market, By Component

  • 8.1 Introduction
  • 8.2 Software
  • 8.3 Services
  • 8.4 Hardware

9 Global Machine Learning Market, By End User

  • 9.1 Introduction
  • 9.2 Government and Defense
    • 9.2.1 Threat Intelligence
    • 9.2.2 Autonomous Defense System
    • 9.2.3 Other Government and Defenses
      • 9.2.3.1 Sustainability
      • 9.2.3.2 Operational Analytics
  • 9.3 Retail
    • 9.3.1 Upsells and Cross Channel Marketing
    • 9.3.2 Segmentation and Targeting
    • 9.3.3 Recommendation Engines
    • 9.3.4 Inventory Planning
    • 9.3.5 Other Retails
      • 9.3.5.1 Customer ROI & Lifetime Value
      • 9.3.5.2 Customization Management
  • 9.4 Healthcare and Life Sciences
    • 9.4.1 Disease Identification and Diagnosis
    • 9.4.2 Drug Discovery/Manufacturing
    • 9.4.3 Image Analytics
    • 9.4.4 Personalized Treatment
    • 9.4.5 Other Healthcare and Life Sciences
      • 9.4.5.1 Clinical Trial Research
      • 9.4.5.2 Epidemic Outbreak Prediction
  • 9.5 Telecommunications
    • 9.5.1 Network Security
    • 9.5.2 Network Optimization
    • 9.5.3 Customer Analytics
    • 9.5.4 Other Telecommunications
      • 9.5.4.1 Digital Assistance/Contact Centers Analytics
      • 9.5.4.2 Marketing Campaign Analytics
  • 9.6 Manufacturing
    • 9.6.1 Demand Forecasting
    • 9.6.2 Predictive Maintenance
    • 9.6.3 Revenue Estimation
    • 9.6.4 Supply Chain Management
    • 9.6.5 Other Manufacturings
      • 9.6.5.1 Root Cause Analysis
      • 9.6.5.2 Telematics
  • 9.7 Banking, Financial Services, and Insurance (BFSI)
    • 9.7.1 Customer Segmentation
    • 9.7.2 Digital Assistance
    • 9.7.3 Fraud and Risk Management
    • 9.7.4 Investment Prediction
    • 9.7.5 Sales and Marketing Campaign Management
    • 9.7.6 Other Banking, Financial Services, and Insurance (BFSI)s
      • 9.7.6.1 Compliance Management
      • 9.7.6.2 Credit Underwriting
  • 9.8 Energy and Utilities
    • 9.8.1 Carbon Emission
    • 9.8.2 Power/Energy Usage Analytics
    • 9.8.3 Seismic Data Processing
    • 9.8.4 Smart Grid Management
    • 9.8.5 Other Energy and Utilities
      • 9.8.5.1 Customer Specific Pricing
      • 9.8.5.2 Renewable Energy Management
  • 9.9 Other Applications
    • 9.9.1 Agriculture
    • 9.9.2 Automotive & Transportation
    • 9.9.3 Education
    • 9.9.4 Education
    • 9.9.5 Law
    • 9.9.6 Media and Entertainment

10 Global Machine Learning Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Amazon Web Services Inc
  • 12.2 Baidu Inc
  • 12.3 BigML Inc
  • 12.4 Fair Isaac Corporation
  • 12.5 Google Inc
  • 12.6 H2o.AI
  • 12.7 Hewlett Packard Enterprise Development LP
  • 12.8 Intel Corporation
  • 12.9 International Business Machines Corporation
  • 12.10 Microsoft Corporation
  • 12.11 SAP SE
  • 12.12 SAS Institute Inc
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