Market By Deployment Mode, Organization Size, Service And End-user | Forecast 2019-2027
Triton Market Research’s report on Europe’s machine learning market depicts it would grow at a stable pace in terms of revenue, with a CAGR of 34.35% over the forecasting period 2019 to 2027.
The countries examined in the European machine learning market are:
• The United Kingdom
• Russia
• Germany
• France
• Italy
• Spain
• Rest of Europe
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The social unrest and the tense political environment have resulted in a slowdown of the economies of several countries in Europe over the last few years. However, with a 1.7% GDP growth in 2017, the region is set to recuperate from the setback. Several factors, such as the growth in the end-use industries, increased applications in the fields of AI & cognitive computing, heightened demand for analytical solutions and the growth of the IoT, have contributed to the growth of the machine learning market in Europe.
Amazon, SAP, Microsoft and several other renowned market players are present in the region, which has raised the demand for advanced applications. These companies are focusing towards expanding in the European region to tap the rising demands. This is expected to fuel the demand for machine learning, natural language processing and other applications, thereby fueling the growth of Europe’s machine learning market.
The rise in the adoption of advanced analytics and data-driven decision-making have driven the growth of the machine learning market in the United Kingdom. As per a report published by the Government of the UK on the economic value of data, in August 2018, organizations that adopt data-driven decisions are likely to have a 5-6% rise in their productivity and output. Substantial investments have been made by the country’s government, in both private as well as public sectors, to promote the adoption of digital and data-driven technologies.
SAP SE is a German company providing enterprise software solutions. It provides analytics, applications, and technology & cloud operations. SAP operates in various business verticals, such as asset management, finance, commerce, human resources, manufacturing, supply chain, engineering, marketing and sustainability. The company serves numerous industries, including financial services & public services, natural resources, discrete manufacturing, energy and consumer. Headquartered in Walldorf, Germany, SAP SE has its presence in the regions of Europe, the Americas, the Asia-Pacific, the Middle East and Africa.
1. EUROPE
MACHINE LEARNING MARKET - SUMMARY
2. INDUSTRY
OUTLOOK
2.1. MARKET
DEFINITION
2.2. EVOLUTION
& TRANSITION OF MACHINE LEARNING
2.3. KEY
INSIGHTS
2.3.1. RISE
IN IMPLEMENTATION OF DATA-DRIVEN APPLICATIONS
2.3.2. AUGMENTED
DEMAND FOR INTELLIGENT BUSINESS PROCESSES
2.3.3. MACHINE
LEARNING START-UPS TRANSFORMING THE INDUSTRY
2.4. PORTER’S
FIVE FORCES ANALYSIS
2.4.1. BARGAINING
POWER OF BUYERS
2.4.2. BARGAINING
POWER OF SUPPLIERS
2.4.3. THREAT
OF NEW ENTRANTS
2.4.4. THREAT
OF SUBSTITUTE
2.4.5. THREAT
OF COMPETITIVE RIVALRY
2.5. KEY
IMPACT ANALYSIS
2.5.1. COST
2.5.2. APPLICATION
2.5.3. SCALABILITY
2.5.4. TRAINING
TIME
2.6. MARKET
ATTRACTIVENESS INDEX
2.7. VENDOR
SCORECARD
2.8. INDUSTRY
COMPONENTS
2.8.1. SOFTWARE
DEVELOPMENT
2.8.2. CLOUD
2.8.3. USERS
2.9. PATENT
ANALYSIS
2.10.
MARKET DRIVERS
2.10.1. EXPANDING
DATA VOLUME ACROSS THE WORLD
2.10.2. WIDENING
APPLICATION OF ML IN DIFFERENT END-USE INDUSTRIES
2.10.3. SIGNIFICANT
DEVELOPMENTS IN THE FIELD OF MACHINE LEARNING
2.11.
MARKET RESTRAINTS
2.11.1. DIFFICULTIES
IN PROTECTING SENSITIVE & PRIVATE DATA
2.11.2. COMPONENTS’
FAILURE MAY DISRUPT ML SERVICE
2.12.
MARKET OPPORTUNITIES
2.12.1. INCORPORATION
OF ARTIFICIAL INTELLIGENCE & MACHINE LEARNING WITH BIG DATA
2.12.2. DEVELOPMENT
OF SMART ROBOTS
2.12.3. INCREASING
ADOPTION OF IoT-CONNECTED DEVICES
2.13.
MARKET CHALLENGES
2.13.1. TECHNOLOGICAL
& COMPUTATIONAL BARRIERS
3. EUROPE
MACHINE LEARNING MARKET OUTLOOK - BY DEPLOYMENT MODE
3.1. CLOUD
3.2. ON-PREMISES
4. EUROPE
MACHINE LEARNING MARKET OUTLOOK - BY ORGANIZATION SIZE
4.1. LARGE
ENTERPRISES
4.2. SMALL
& MEDIUM-SIZED ENTERPRISES (SMEs)
5. EUROPE
MACHINE LEARNING MARKET OUTLOOK - BY SERVICE
5.1. PROFESSIONAL
SERVICES
5.2. MANAGED
SERVICES
6. EUROPE
MACHINE LEARNING MARKET OUTLOOK - BY END-USER
6.1. BANKING,
FINANCIAL SERVICES & INSURANCE (BFSI)
6.2. HEALTHCARE
& LIFE SCIENCES
6.3. RETAIL
6.4. TELECOMMUNICATION
6.5. GOVERNMENT
& DEFENSE
6.6. MANUFACTURING
6.7. MEDIA
& ADVERTISING
6.8. ENERGY
& UTILITIES
6.9. OTHER
END-USERS
7. EUROPE
MACHINE LEARNING MARKET - REGIONAL OUTLOOK
7.1. UNITED
KINGDOM
7.2. GERMANY
7.3. FRANCE
7.4. SPAIN
7.5. ITALY
7.6. RUSSIA
7.7. REST
OF EUROPE
8. COMPETITIVE
LANDSCAPE
8.1. TIBCO
SOFTWARE, INC.
8.2. SAP
SE
8.3. ORACLE
CORPORATION
8.4. TERADATA
CORPORATION
8.5. AMAZON
WEB SERVICES, INC.
8.6. MICROSOFT
CORPORATION
8.7. INTEL
CORPORATION
8.8. FRACTAL
ANALYTICS
8.9. GOOGLE,
INC.
8.10.
BAIDU, INC.
8.11.
FAIR ISAAC CORPORATION (FICO)
8.12.
IBM CORPORATION (INTERNATIONAL
BUSINESS MACHINES)
8.13.
HEWLETT PACKARD ENTERPRISE
COMPANY (HPE)
8.14.
DELL TECHNOLOGIES, INC.
8.15.
CLARIVATE ANALYTICS LLC
(TRADEMARKVISION)
9. RESEARCH
METHODOLOGY & SCOPE
9.1. RESEARCH
SCOPE & DELIVERABLES
9.2. SOURCES
OF DATA
9.3. RESEARCH
METHODOLOGY
TABLE 1: EUROPE MACHINE
LEARNING MARKET, BY COUNTRY, 2019-2027 (IN $ MILLION)
TABLE 2: EVOLUTION
& TRANSITION OF MACHINE LEARNING
TABLE 3: LIST OF
PROMINENT START-UPS IN MACHINE LEARNING
TABLE 4: VENDOR
SCORECARD
TABLE 5: PATENTS FILLED
IN MACHINE LEARNING BY KEY TECHNOLOGY COMPANIES, 2018
TABLE 6: TOP 20 FIRST
PATENT FILERS IN MACHINE LEARNING IN 2016
TABLE 7: EUROPE MACHINE
LEARNING MARKET, BY DEPLOYMENT MODE, 2019-2027 (IN $ MILLION)
TABLE 8: EUROPE MACHINE
LEARNING MARKET, BY ORGANIZATION SIZE, 2019-2027 (IN $ MILLION)
TABLE 9: EUROPE MACHINE
LEARNING MARKET, BY SERVICE, 2019-2027 (IN $ MILLION)
TABLE 10: EUROPE
MACHINE LEARNING MARKET, BY END-USER, 2019-2027 (IN $ MILLION)
TABLE 11: EUROPE
MACHINE LEARNING MARKET, BY COUNTRY, 2019-2027 (IN $ MILLION)
FIGURE 1: KEY BUYING
IMPACT ANALYSIS
FIGURE 2: MARKET
ATTRACTIVENESS INDEX
FIGURE 3: INDUSTRY
COMPONENTS
FIGURE 4: VOLUME OF
DATA CREATED WORLDWIDE, 2010-2025 (IN ZETTABYTES)
FIGURE 5: NUMBER OF
CONNECTED DEVICES WORLDWIDE, 2015-2025
FIGURE 6: EUROPE
MACHINE LEARNING MARKET, BY CLOUD, 2019-2027 (IN $ MILLION)
FIGURE 7: EUROPE
MACHINE LEARNING MARKET, BY ON-PREMISES, 2019-2027 (IN $ MILLION)
FIGURE 8: EUROPE
MACHINE LEARNING MARKET, BY LARGE ENTERPRISES, 2019-2027 (IN $ MILLION)
FIGURE 9: EUROPE
MACHINE LEARNING MARKET, BY SMALL & MEDIUM-SIZED ENTERPRISES (SMEs),
2019-2027 (IN $ MILLION)
FIGURE 10: EUROPE
MACHINE LEARNING MARKET, BY PROFESSIONAL SERVICES, 2019-2027 (IN $ MILLION)
FIGURE 11: EUROPE
MACHINE LEARNING MARKET, BY MANAGED SERVICES, 2019-2027 (IN $ MILLION)
FIGURE 12: EUROPE
MACHINE LEARNING MARKET, BY BANKING, FINANCIAL SERVICES & INSURANCE (BFSI),
2019-2027 (IN $ MILLION)
FIGURE 13: EUROPE
MACHINE LEARNING MARKET, BY HEALTHCARE & LIFE SCIENCES, 2019-2027 (IN $
MILLION)
FIGURE 14: EUROPE
MACHINE LEARNING MARKET, BY RETAIL, 2019-2027 (IN $ MILLION)
FIGURE 15: EUROPE
MACHINE LEARNING MARKET, BY TELECOMMUNICATION, 2019-2027 (IN $ MILLION)
FIGURE 16: EUROPE
MACHINE LEARNING MARKET, BY GOVERNMENT & DEFENSE, 2019-2027 (IN $ MILLION)
FIGURE 17: EUROPE
MACHINE LEARNING MARKET, BY MANUFACTURING, 2019-2027 (IN $ MILLION)
FIGURE 18: EUROPE MACHINE
LEARNING MARKET, BY MEDIA & ADVERTISING, 2019-2027 (IN $ MILLION)
FIGURE 19: EUROPE
MACHINE LEARNING MARKET, BY ENERGY & UTILITIES, 2019-2027 (IN $ MILLION)
FIGURE 20: EUROPE
MACHINE LEARNING MARKET, BY OTHER END-USERS, 2019-2027 (IN $ MILLION)
FIGURE 21: EUROPE
MACHINE LEARNING MARKET, REGIONAL OUTLOOK, 2018 & 2027 (IN %)
FIGURE 22: UNITED
KINGDOM MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
FIGURE 23: GERMANY
MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
FIGURE 24: FRANCE
MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
FIGURE 25: SPAIN
MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
FIGURE 26: ITALY
MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
FIGURE 27: RUSSIA
MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
FIGURE 28: REST OF
EUROPE MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)