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Market Research Report

Europe Machine Learning Market Forecast 2019-2027

Published by Inkwood Research Product code 678055
Published Content info 103 Pages
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Europe Machine Learning Market Forecast 2019-2027
Published: August 12, 2019 Content info: 103 Pages
Description

KEY FINDINGS

In Europe, the machine learning market is expected to proliferate at 32.35% CAGR over the forecast period of 2019-2027. The Europe machine learning market is predicted to generate a revenue of $XX million by 2027. The market will witness mounting growth in upcoming years owing to the widening applications of machine learning technology in several industry verticals such as Banking & Insurance, healthcare, telecommunication, and manufacturing, among others.

MARKET INSIGHTS

The Europe machine learning market is studied over countries such as France, Spain, Germany, the United Kingdom, and Rest of Europe region that includes remaining European countries. The applications of machine learning in various sectors is surging its demand in the region. Machine learning algorithms are used in cybersecurity. Also, the governments in European countries are taking initiatives to promote the deployment of machine learning and artificial intelligence across several industries. In addition, the rising big data analytics and establishment of artificial intelligence-based start-ups together with increasing investments in the European region is augmenting the growth of machine learning market.

COMPETITIVE INSIGHTS

Microsoft Corporation, Intel Corporation, Google Inc., Hewlett Packard Enterprise (HPE), and IBM Corporation are few of the established players operating in the machine learning market. The prominent companies focus on strategies like new product development, acquisition, collaborations, and partnership to maintain a stronghold in the market.

Table of Contents
Product Code: 20901

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. HIGH DEMAND FROM NUMEROUS END USER INDUSTRIES
    • 3.2.2. CLOUD IS THE MOST PREFERRED DEPLOYMENT MODE
    • 3.2.3. SMALL & MEDIUM-SIZED ENTERPRISES (SMEs) IS PROJECTED TO GROW AT FASTEST CAGR
    • 3.2.4. 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
  • 4.7. 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. EUROPE
    • 10.1.1. UNITED KINGDOM
    • 10.1.2. GERMANY
    • 10.1.3. FRANCE
    • 10.1.4. SPAIN
    • 10.1.5. ITALY
    • 10.1.6. RUSSIA
    • 10.1.7. REST OF EUROPE

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

LIST OF TABLES

  • TABLE 1: EUROPE MACHINE LEARNING MARKET, BY COUNTRY, 2019-2027 (IN $ MILLION)
  • TABLE 2: LIST OF PROMINENT START-UPS IN MACHINE LEARNING
  • TABLE 3: TIMELINE OF MACHINE LEARNING
  • TABLE 4: EUROPE MACHINE LEARNING MARKET, BY DEPLOYMENT, 2019-2027 (IN $ MILLION)
  • TABLE 5: EUROPE MACHINE LEARNING MARKET, BY SERVICES, 2019-2027 (IN $ MILLION)
  • TABLE 6: EUROPE MACHINE LEARNING MARKET, BY ORGANIZATION SIZE, 2019-2027 (IN $ MILLION)
  • TABLE 7: EUROPE MACHINE LEARNING MARKET, BY INDUSTRY VERTICALS, 2019-2027 (IN $ MILLION)
  • TABLE 8: OPPORTUNITY MATRIX
  • TABLE 9: VENDOR LANDSCAPE
  • TABLE 10: PATENTS FILLED IN MACHINE LEARNING BY KEY TECHNOLOGY COMPANIES, 2017
  • TABLE 11: EUROPE MACHINE LEARNING MARKET, BY COUNTRY, 2019-2027 (IN $ MILLION)
  • TABLE 12: LIST OF MERGER & ACQUISITIONS
  • TABLE 13: LIST OF PRODUCT DEVELOPMENT
  • TABLE 14: LIST OF COLLABORATION & PARTNERSHIP
  • TABLE 15: LIST OF OTHER KEY STRATEGIES

LIST OF FIGURES

  • FIGURE 1: EUROPE MACHINE LEARNING MARKET, BY INDUSTRY VERTICALS, 2018 & 2027 (IN %)
  • FIGURE 2: NUMBER OF CONNECTED DEVICES WORLDWIDE, 2015-2025
  • FIGURE 3: EUROPE MACHINE LEARNING MARKET, BY CLOUD, 2019-2027 (IN $ MILLION)
  • FIGURE 4: EUROPE MACHINE LEARNING MARKET, BY ON-PREMISE, 2019-2027 (IN $ MILLION)
  • FIGURE 5: EUROPE MACHINE LEARNING MARKET, BY PROFESSIONAL SERVICES, 2019-2027 (IN $ MILLION)
  • FIGURE 6: EUROPE MACHINE LEARNING MARKET, BY MANAGED SERVICES, 2019-2027 (IN $ MILLION)
  • FIGURE 7: EUROPE MACHINE LEARNING MARKET, BY LARGE ENTERPRISES, 2019-2027 (IN $ MILLION)
  • FIGURE 8: EUROPE MACHINE LEARNING MARKET, BY SMALL & MEDIUM-SIZED ENTERPRISES (SMEs), 2019-2027 (IN $ MILLION)
  • FIGURE 9: EUROPE MACHINE LEARNING MARKET, BY BANKING, FINANCIAL SERVICES & INSURANCE (BFSI), 2019-2027 (IN $ MILLION)
  • FIGURE 10: EUROPE MACHINE LEARNING MARKET, BY HEALTHCARE & LIFE SCIENCES, 2019-2027 (IN $ MILLION)
  • FIGURE 11: EUROPE MACHINE LEARNING MARKET, BY RETAIL, 2019-2027 (IN $ MILLION)
  • FIGURE 12: EUROPE MACHINE LEARNING MARKET, BY TELECOMMUNICATION, 2019-2027 (IN $ MILLION)
  • FIGURE 13: EUROPE MACHINE LEARNING MARKET, BY GOVERNMENT & DEFENSE, 2019-2027 (IN $ MILLION)
  • FIGURE 14: EUROPE MACHINE LEARNING MARKET, BY MANUFACTURING, 2019-2027 (IN $ MILLION)
  • FIGURE 15: EUROPE MACHINE LEARNING MARKET, BY MEDIA & ADVERTISING, 2019-2027 (IN $ MILLION)
  • FIGURE 16: EUROPE MACHINE LEARNING MARKET, BY ENERGY & UTILITIES, 2019-2027 (IN $ MILLION)
  • FIGURE 17: EUROPE MACHINE LEARNING MARKET, BY OTHER VERTICALS, 2019-2027 (IN $ MILLION)
  • FIGURE 18: PORTER'S FIVE FORCE ANALYSIS
  • FIGURE 19: KEY BUYING IMPACT ANALYSIS
  • FIGURE 20: VALUE CHAIN ANALYSIS
  • FIGURE 21: PATENTS FILLED IN ARTIFICIAL INTELLIGENCE BY KEY TECHNOLOGY COMPANIES, 2009-2017
  • FIGURE 22: EUROPE MACHINE LEARNING MARKET, REGIONAL OUTLOOK, 2018 & 2027 (IN %)
  • FIGURE 23: UNITED KINGDOM MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 24: GERMANY MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 25: FRANCE MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 26: SPAIN MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 27: ITALY MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 28: RUSSIA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 29: REST OF EUROPE MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 30: MARKET SHARE ANALYSIS OF KEY PLAYERS IN 2017 (IN %)
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