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機械学習- 世界市場の展望(2019年~2027年)

Machine Learning - Global Market Outlook (2019-2027)

出版日: | 発行: Stratistics Market Research Consulting | ページ情報: 英文 170 Pages | 納期: 2-3営業日

価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=105.49円
機械学習- 世界市場の展望(2019年~2027年)
出版日: 2020年06月01日
発行: Stratistics Market Research Consulting
ページ情報: 英文 170 Pages
納期: 2-3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

世界の機械学習市場は予測期間中42.1%のCAGRで推移し、2019年の29億6000万米ドルから、2027年には491億3000万米ドルの規模に成長すると予測されています。クラウドベースのサービスの採用の増加や技術の進歩が、市場の成長を牽引する主な要因です。ただし、機械学習に熟練した従業員の不足が市場の成長を抑制しています。

当レポートでは、世界の機械学習の市場を調査し、市場および製品の概要、市場成長への各種影響因子および市場機会の分析、サービス・導入モード・組織規模・コンポーネント・エンドユーザー・地域/主要国など各種区分別の動向と市場規模の推移と予測、競合環境、主要企業のプロファイルなどをまとめています。

目次

第1章 エグゼクティブサマリー

第2章 序文

第3章 市場動向の分析

  • イントロダクション
  • 促進要因
  • 抑制要因
  • 市場機会
  • 脅威
  • エンドユーザー分析
  • 新興市場
  • Covid-19の影響

第4章 ポーターのファイブフォース分析

第5章 世界の機械学習市場:サービス別

  • マネージドサービス
  • プロフェッショナルサービス

第6章 世界の機械学習市場:導入モード別

  • オンプレミス
  • クラウド

第7章 世界の機械学習市場:組織規模別

  • 中小企業(SME)
  • 大企業

第8章 世界の機械学習市場:コンポーネント別

  • ソフトウェア
  • サービス
  • ハードウェア

第9章 世界の機械学習市場:エンドユーザー

  • 政府・防衛
    • 脅威インテリジェンス
    • 自律防衛システム
    • その他
  • 小売
    • アップセル・クロスチャネルマーケティング
    • セグメンテーション・ターゲティング
    • 推奨エンジン
    • 在庫計画
    • その他
  • ヘルスケア・ライフサイエンス
    • 病気の特定・診断
    • 創薬/製造
    • 画像分析
    • 個別治療
    • その他
  • 電気通信
    • ネットワークセキュリティー
    • ネットワーク最適化
    • 顧客分析
    • その他の通信
  • 製造
    • 需要予測
    • 予知保全
    • 収益見積もり
    • サプライチェーンマネジメント
    • その他
  • 銀行・金融サービス・保険(BFSI)
    • 顧客セグメンテーション
    • デジタルアシスタンス
    • 詐欺・リスク管理
    • 投資予測
    • 販売・マーケティングキャンペーン管理
    • その他
  • エネルギー・ユーティリティ
    • 炭素排出
    • 電力/エネルギー使用分析
    • 地震データ処理
    • スマートグリッド管理
    • その他
  • その他の用途
    • 農業
    • 自動車・輸送
    • 教育
    • 教育
    • 法律
    • メディア・エンターテイメント

第10章 世界の機械学習市場: 地域

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • イタリア
    • フランス
    • スペイン
    • その他欧州
  • アジア太平洋地域
    • 日本
    • 中国
    • インド
    • オーストラリア
    • ニュージーランド
    • 韓国
    • その他
  • 南米
    • アルゼンチン
    • ブラジル
    • チリ
    • その他
  • 中東・アフリカ
    • サウジアラビア
    • アラブ首長国連邦
    • カタール
    • 南アフリカ
    • その他

第11章 主な発展

  • 契約、提携、協業、合弁事業
  • 買収と合併
  • 新製品の発売
  • 拡張
  • その他の主な戦略

第12章 企業プロファイル

  • 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
図表

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.

目次

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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