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678057

世界のマシンラーニング市場の予測

Global Machine Learning Market Forecast 2019-2027
出版日: | 発行: Inkwood Research | ページ情報: 英文 155 Pages | 納期: 2-3営業日

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本日の銀行送金レート: 1USD=110.81円
世界のマシンラーニング市場の予測
出版日: 2019年08月12日
発行: Inkwood Research
ページ情報: 英文 155 Pages
納期: 2-3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

当レポートでは、世界のマシンラーニング市場を調査し、市場の概要、導入タイプ・サービス・企業規模・産業分野・地域別の市場規模の予測（今後9年間分）、成長要因・阻害要因ならびに市場機会・課題の分析、市場動向、成長率、市場シェア、競合情勢、主要企業のプロファイルなど、包括的な情報を提供しています。

第1章 調査範囲

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場力学

  • マシンラーニングの概要
  • 特許分析：人工知能（AI）
  • 成長要因
  • 阻害要因
  • 市場機会
  • 課題

第5章 世界のマシンラーニング市場：導入タイプ別

  • クラウド
  • オンプレミス

第6章 世界のマシンラーニング市場：サービス別

  • プロフェッショナルサービス
  • マネージドサービス

第7章 世界のマシンラーニング市場：企業規模別

  • 大企業
  • 中小企業

第8章 世界のマシンラーニング市場：産業分野別

  • 銀行・金融サービス・保険
  • 医療・ライフサイエンス
  • 小売
  • 通信
  • 政府・防衛
  • 製造
  • エネルギー・ユーティリティ
  • その他

第9章 市場分析

  • ファイブフォース分析
  • 購入基準
  • 市場機会の分析
  • ベンダー環境
  • バリューチェーン分析
    • ソフトウェア開発
    • クラウド
    • ユーザー
  • 特許分析
  • 投資分析
    • 地域別
    • 産業分野別
    • 導入タイプ別

第10章 世界のマシンラーニング市場：地域別

  • 北米
    • 米国
    • カナダ
  • 欧州
    • 英国
    • フランス
    • ドイツ
    • スペイン
    • その他
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他
  • その他の地域
    • ラテンアメリカ
    • 中東・アフリカ

第11章 競合環境

  • 市場シェアの分析
  • 主要企業の分析
  • 事業戦略
    • 買収・合併
    • 製品開発
    • 提携
    • その他の戦略
  • 企業プロファイル
    • AMAZON WEB SERVICES INC.
    • BAIDU, INC
    • DELL, INC
    • FAIR ISAAC CORPORATION (FICO)
    • FRACTAL ANALYTICS
    • GOOGLE, INC
    • HEWLETT PACKARD ENTERPRISE (HPE)
    • IBM CORPORATION
    • INTEL CORPORATION
    • MICROSOFT CORPORATION
    • ORACLE CORPORATION
    • SAP SE
    • TERADATA CORPORATION
    • TIBCO SOFTWARE INC.
    • TRADEMARKVISION

図表リスト

図表

LIST OF TABLES

  • TABLE 1: GLOBAL MACHINE LEARNING MARKET, BY GEOGRAPHY, 2019-2027 (IN $ MILLION)
  • TABLE 2: LIST OF PROMINENT START-UPS IN MACHINE LEARNING
  • TABLE 3: TIMELINE OF MACHINE LEARNING
  • TABLE 4: GLOBAL MACHINE LEARNING MARKET, BY DEPLOYMENT, 2019-2027 (IN $ MILLION)
  • TABLE 5: GLOBAL CLOUD MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 6: GLOBAL ON-PREMISE MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 7: GLOBAL MACHINE LEARNING MARKET, BY SERVICES, 2019-2027 (IN $ MILLION)
  • TABLE 8: GLOBAL PROFESSIONAL SERVICES MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 9: GLOBAL MANAGED SERVICES MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 10: GLOBAL MACHINE LEARNING MARKET, BY ORGANIZATION SIZE, 2019-2027 (IN $ MILLION)
  • TABLE 11: GLOBAL LARGE ENTERPRISES MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 12: GLOBAL SMALL & MEDIUM-SIZED ENTERPRISES (SMEs) MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 13: GLOBAL MACHINE LEARNING MARKET, BY VERTICALS, 2019-2027 (IN $ MILLION)
  • TABLE 14: GLOBAL BANKING, FINANCIAL SERVICES & INSURANCE (BFSI) MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 15: GLOBAL HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 16: GLOBAL RETAIL MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 17: GLOBAL TELECOMMUNICATION MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 18: GLOBAL GOVERNMENT & DEFENSE MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 19: GLOBAL MANUFACTURING MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 20: GLOBAL MEDIA & ADVERTISING MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 21: GLOBAL ENERGY & UTILITIES MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 22: GLOBAL OTHER VERTICALS MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 23: OPPORTUNITY MATRIX
  • TABLE 24: VENDOR LANDSCAPE
  • TABLE 25: PATENTS FILLED IN MACHINE LEANING BY KEY TECHNOLOGY COMPANIES, 2017
  • TABLE 26: GLOBAL MACHINE LEARNING MARKET, BY GEOGRAPHY, 2019-2027 (IN $ MILLION)
  • TABLE 27: NORTH AMERICA MACHINE LEARNING MARKET, BY COUNTRY, 2019-2027 (IN $ MILLION)
  • TABLE 28: EUROPE MACHINE LEARNING MARKET, BY COUNTRY, 2019-2027 (IN $ MILLION)
  • TABLE 29: ASIA PACIFIC MACHINE LEARNING MARKET, BY COUNTRY, 2019-2027 (IN $ MILLION)
  • TABLE 30: REST OF WORLD MACHINE LEARNING MARKET, BY REGION, 2019-2027 (IN $ MILLION)
  • TABLE 31: LIST OF MERGER & ACQUISITIONS
  • TABLE 32: LIST OF PRODUCT DEVELOPMENT
  • TABLE 33: LIST OF COLLABORATION & PARTNERSHIP
  • TABLE 34: LIST OF OTHER KEY STRATEGIES

LIST OF FIGURES

  • FIGURE 1: GLOBAL MACHINE LEARNING MARKET, BY VERTICALS, 2018 & 2027 (IN %)
  • FIGURE 2: NORTH AMERICA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 3: ASIA PACIFIC MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 4: NUMBER OF CONNECTED DEVICES WORLDWIDE, 2015-2025
  • FIGURE 5: GLOBAL MACHINE LEARNING MARKET, BY CLOUD, 2019-2027 (IN $ MILLION)
  • FIGURE 6: GLOBAL MACHINE LEARNING MARKET, BY ON-PREMISE, 2019-2027 (IN $ MILLION)
  • FIGURE 7: GLOBAL MACHINE LEARNING MARKET, BY PROFESSIONAL SERVICES, 2019-2027 (IN $ MILLION)
  • FIGURE 8: GLOBAL MACHINE LEARNING MARKET, BY MANAGED SERVICES, 2019-2027 (IN $ MILLION)
  • FIGURE 9: GLOBAL MACHINE LEARNING MARKET, BY LARGE ENTERPRISES, 2019-2027 (IN $ MILLION)
  • FIGURE 10: GLOBAL MACHINE LEARNING MARKET, BY SMALL & MEDIUM-SIZED ENTERPRISES (SMEs), 2019-2027 (IN $ MILLION)
  • FIGURE 11: GLOBAL MACHINE LEARNING MARKET, BY BANKING, FINANCIAL SERVICES & INSURANCE (BFSI), 2019-2027 (IN $ MILLION)
  • FIGURE 12: GLOBAL MACHINE LEARNING MARKET, BY HEALTHCARE & LIFE SCIENCES, 2019-2027 (IN $ MILLION)
  • FIGURE 13: GLOBAL MACHINE LEARNING MARKET, BY RETAIL, 2019-2027 (IN $ MILLION)
  • FIGURE 14: GLOBAL MACHINE LEARNING MARKET, BY TELECOMMUNICATION, 2019-2027 (IN $ MILLION)
  • FIGURE 15: GLOBAL MACHINE LEARNING MARKET, BY GOVERNMENT & DEFENSE, 2019-2027 (IN $ MILLION)
  • FIGURE 16: GLOBAL MACHINE LEARNING MARKET, BY MANUFACTURING, 2019-2027 (IN $ MILLION)
  • FIGURE 17: GLOBAL MACHINE LEARNING MARKET, BY MEDIA & ADVERTISING, 2019-2027 (IN $ MILLION)
  • FIGURE 18: GLOBAL MACHINE LEARNING MARKET, BY ENERGY & UTILITIES, 2019-2027 (IN $ MILLION)
  • FIGURE 19: GLOBAL MACHINE LEARNING MARKET, BY OTHER VERTICALS, 2019-2027 (IN $ MILLION)
  • FIGURE 20: PORTER'S FIVE FORCE ANALYSIS
  • FIGURE 21: KEY BUYING IMPACT ANALYSIS
  • FIGURE 22: VALUE CHAIN ANALYSIS
  • FIGURE 23: PATENTS FILLED IN ARTIFICIAL INTELLIGENCE BY KEY TECHNOLOGY COMPANIES, 2009-2017
  • FIGURE 24: GLOBAL MACHINE LEARNING MARKET, REGIONAL OUTLOOK, 2018 & 2027 (IN %)
  • FIGURE 25: UNITED STATES MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 26: CANADA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 27: UNITED KINGDOM MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 28: GERMANY MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 29: FRANCE MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 30: SPAIN MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 31: ITALY MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 32: RUSSIA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 33: REST OF EUROPE MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 34: CHINA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 35: JAPAN MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 36: INDIA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 37: SOUTH KOREA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 38: AUSTRALIA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 39: REST OF ASIA PACIFIC MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 40: LATIN AMERICA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 41: MIDDLE EAST & AFRICA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 42: MARKET SHARE ANALYSIS OF KEY PLAYERS IN 2017 (IN %)
目次
Product Code: 20906

KEY FINDINGS

The global machine learning market is predicted to generate a value of $XX million by the end of 2027 while growing at a CAGR of 32.21% during the forecast period 2019-2027. The growth of the global market is driven by factors like increased data generation, high adoption of data-driven applications, along with advancements in machine learning.

MARKET INSIGHTS

The segmentation of the global machine learning market is done on the basis of deployment, organization size, industry verticals, and services. The deployment segment is classified into the cloud or on-premise. The organization size considered in the analysis varies from large enterprises, small enterprises to medium-sized enterprises. The market verticals are classified into banking, financial services & insurance (BFSI), healthcare & life sciences, retail, telecommunication, government & defense, manufacturing, energy & utilities, among others. The market provides professional as well as managed services.

REGIONAL INSIGHTS

Geographically, the global machine learning market is segmented into regions such as Asia-Pacific, Europe, North America, and Rest of the world region that includes remaining countries. North America region is one of the leading contributors to the global market. The machine learning market growth in the region attributes to the high adoption of machine learning solutions by both public and private sectors, advanced technological infrastructure, together with supportive government policies that promote artificial intelligence.

COMPETITIVE INSIGHTS

The global machine learning market has the presence of numerous companies offering machine learning solutions. Some of the leading players in the market are Fractal Analytics, Microsoft Corporation, IBM Corporation, Google Inc., Dell Inc., Hewlett Packard Enterprise (HPE), Amazon Web Services Inc., Intel Corporation, Fair Isaac Corporation (FICO), and Baidu Inc.

Table of contents

1. RESEARCH SCOPE

  • 1.1. STUDY GOALS
  • 1.2. SCOPE OF THE MARKET STUDY
  • 1.3. WHO WILL FIND THIS REPORT USEFUL?
  • 1.4. STUDY AND FORECASTING YEARS

2. RESEARCH METHODOLOGY

  • 2.1. SOURCES OF DATA
    • 2.1.1. SECONDARY DATA
    • 2.1.2. PRIMARY DATA
  • 2.2. TOP-DOWN APPROACH
  • 2.3. BOTTOM-UP APPROACH
  • 2.4. DATA TRIANGULATION

3. EXECUTIVE SUMMARY

  • 3.1. MARKET SUMMARY
  • 3.2. KEY FINDINGS
    • 3.2.1. NORTH AMERICA DOMINATES THE OVERALL MARKET
    • 3.2.2. CHINA & INDIA LED ASIA PACIFIC TO BE THE FASTEST-GROWING MARKET
    • 3.2.3. CLOUD IS THE MOST PREFERRED DEPLOYMENT MODE
    • 3.2.4. SMALL & MEDIUM-SIZED ENTERPRISES (SMEs) IS PROJECTED TO GROW AT FASTEST CAGR
    • 3.2.5. GROWING NUMBER OF START-UPS IN MACHINE LEARNING

4. MARKET DYNAMICS

  • 4.1. TIMELINE OF MACHINE LEARNING
  • 4.2. PARENT MARKET ANALYSIS: ARTIFICIAL INTELLIGENCE
  • 4.3. MARKET SCOPE & DEFINITION
  • 4.4. MARKET DRIVERS
    • 4.4.1. PROLIFERATION IN DATA GENERATION
    • 4.4.2. RISING ROBOTIZATION ACROSS NUMEROUS VERTICALS
    • 4.4.3. CONTINUAL ADVANCEMENTS IN MACHINE LEARNING
    • 4.4.4. GROWING ACCEPTANCE OF CONNECTED DEVICES
    • 4.4.5. UPSURGE IN ADOPTION OF DATA-DRIVEN APPLICATIONS
  • 4.5. MARKET RESTRAINTS
    • 4.5.1. COMPLEXITIES IN MANAGING SENSITIVE DATA
    • 4.5.2. TECHNOLOGICAL LIMITATIONS
  • 4.6. MARKET OPPORTUNITIES
    • 4.6.1. GROWING INTEREST IN INTELLIGENT BUSINESS PROCESSES
    • 4.6.2. INTEGRATION OF BIG DATA WITH ARTIFICIAL INTELLIGENCE & MACHINE LEARNING
    • 4.6.3. HIGH DEMAND FROM NUMEROUS END USER INDUSTRIES
  • 4.7. MARKET CHALLENGES
    • 4.7.1. ETHICAL IMPLICATIONS OF ALGORITHMS DEPLOYED
    • 4.7.2. SUSCEPTIBLE TO HARDWARE & SOFTWARE MALFUNCTIONS

5. MARKET BY DEPLOYMENT

  • 5.1. CLOUD
  • 5.2. ON-PREMISE

6. MARKET BY SERVICES

  • 6.1. PROFESSIONAL SERVICES
  • 6.2. MANAGED SERVICES

7. MARKET BY ORGANIZATION SIZE

  • 7.1. LARGE ENTERPRISES
  • 7.2. SMALL & MEDIUM-SIZED ENTERPRISES (SMEs)

8. MARKET BY INDUSTRY VERTICALS

  • 8.1. BANKING, FINANCIAL SERVICES & INSURANCE (BFSI)
  • 8.2. HEALTHCARE & LIFE SCIENCES
  • 8.3. RETAIL
  • 8.4. TELECOMMUNICATION
  • 8.5. GOVERNMENT & DEFENSE
  • 8.6. MANUFACTURING
  • 8.7. ENERGY & UTILITIES
  • 8.8. MEDIA & ADVERTISING
  • 8.9. OTHER VERTICALS

9. KEY ANALYTICS

  • 9.1. PORTER'S FIVE FORCE MODEL
    • 9.1.1. THREAT OF NEW ENTRANTS
    • 9.1.2. THREAT OF SUBSTITUTE
    • 9.1.3. BARGAINING POWER OF SUPPLIERS
    • 9.1.4. BARGAINING POWER OF BUYERS
    • 9.1.5. THREAT OF COMPETITIVE RIVALRY
  • 9.2. KEY BUYING CRITERIA
    • 9.2.1. PRICE
    • 9.2.2. SCALABILITY
    • 9.2.3. TRAINING TIME
    • 9.2.4. APPLICATION
  • 9.3. VALUE CHAIN ANALYSIS
    • 9.3.1. SOFTWARE DEVELOPMENT
    • 9.3.2. CLOUD
    • 9.3.3. USERS
  • 9.4. PATENT ANALYSIS
  • 9.5. OPPORTUNITY MATRIX
  • 9.6. VENDOR LANDSCAPE

10. GEOGRAPHICAL ANALYSIS

  • 10.1. NORTH AMERICA
    • 10.1.1. UNITED STATES
    • 10.1.2. CANADA
  • 10.2. EUROPE
    • 10.2.1. UNITED KINGDOM
    • 10.2.2. GERMANY
    • 10.2.3. FRANCE
    • 10.2.4. SPAIN
    • 10.2.5. ITALY
    • 10.2.6. RUSSIA
    • 10.2.7. REST OF EUROPE
  • 10.3. ASIA PACIFIC
    • 10.3.1. CHINA
    • 10.3.2. JAPAN
    • 10.3.3. INDIA
    • 10.3.4. SOUTH KOREA
    • 10.3.5. AUSTRALIA
    • 10.3.6. REST OF ASIA PACIFIC
  • 10.4. REST OF WORLD
    • 10.4.1. LATIN AMERICA
    • 10.4.2. MIDDLE EAST & AFRICA

11. COMPETITIVE LANDSCAPE

  • 11.1. MARKET SHARE ANALYSIS
  • 11.2. CORPORATE STRATEGIES
    • 11.2.1. MERGER & ACQUISITIONS
    • 11.2.2. PRODUCT DEVELOPMENT
    • 11.2.3. COLLABORATION & PARTNERSHIP
    • 11.2.4. OTHER KEY STRATEGIES
  • 11.3. COMPANY PROFILES
    • 11.3.1. AMAZON WEB SERVICES INC.
    • 11.3.2. BAIDU, INC.
    • 11.3.3. DELL, INC.
    • 11.3.4. FAIR ISAAC CORPORATION (FICO)
    • 11.3.5. FRACTAL ANALYTICS
    • 11.3.6. GOOGLE, INC.
    • 11.3.7. HEWLETT PACKARD ENTERPRISE (HPE)
    • 11.3.8. IBM CORPORATION (INTERNATIONAL BUSINESS MACHINES)
    • 11.3.9. INTEL CORPORATION
    • 11.3.10. MICROSOFT CORPORATION
    • 11.3.11. ORACLE CORPORATION
    • 11.3.12. SAP SE
    • 11.3.13. TERADATA CORPORATION
    • 11.3.14. TIBCO SOFTWARE INC.
    • 11.3.15. TRADEMARKVISION