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Europe Machine Learning Market Forecast 2018-2026

Europe Machine Learning Market Forecast 2018-2026

KEY FINDINGS

Often enterprises can't control the flood of data related to their customers, prospects, internal business processes, suppliers, partners and competitors. Machine learning offers a promising solution to this dilemma. In Europe, the machine learning market is expected to proliferate at 36.43% CAGR over the forecast period of 2018-2026.

MARKET INSIGHTS

In Europe, the primary application of machine learning technology is found in sectors such as BFSI, healthcare, manufacturing and telecommunication. In the telecommunication sector, the machine learning algorithms are deployed to identify potential churners in the telecommunication industry. Machine learning is also used for minimizing the fraudulent activities across the telecommunication network

COMPETITIVE INSIGHTS

Few of the established market players in this region include Hewlett Packard Enterprise (HPE), Tibco Software Inc, Baidu Inc, Amazon Web Services Inc, Microsoft Corporation, IBM Corporation (International Business Machines), Oracle Corporation, Fair Isaac Corporation (Fico),Dell Inc, Intel Corporation, Trademarkvision, Sap Se and Google Inc.


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. Cloud Is The Most Preferred Deployment Mode
3.2.2. Small & Medium-sized Enterprises (Sme’s) Is Projected To Grow With The Fastest Cagr
3.2.3. Rising Robotization Across Numerous Verticals
3.2.4. Growing Number Of Start-ups In Machine Learning
4. Market Dynamics
4.1. Etymology 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. Continual Advancements In Machine Learning
4.4.3. Growing Acceptance Of Connected Devices
4.4.4. 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 (Sme’s)
8. Market By 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. Other Verticals
9. Key Analytics
9.1. Porters 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. Opportunity Matrix
9.4. Vendor Landscape
9.5. Value Chain Analysis
9.5.1. Software Development
9.5.2. Cloud
9.5.3. Users
9.6. Patent Analysis
9.7. Investment Analysis
9.7.1. By Verticals
9.7.2. By Deployment
10. Geographical Analysis - Europe
10.1. United Kingdom
10.1.1. Country Overview
10.1.2. Market By Deployment
10.1.3. Market By Services
10.1.4. Market By Organization Size
10.1.5. Market By Verticals
10.2. France
10.2.1. Country Overview
10.2.2. Market By Deployment
10.2.3. Market By Services
10.2.4. Market By Organization Size
10.2.5. Market By Verticals
10.3. Germany
10.3.1. Country Overview
10.3.2. Market By Deployment
10.3.3. Market By Services
10.3.4. Market By Organization Size
10.3.5. Market By Verticals
10.4. Spain
10.4.1. Country Overview
10.4.2. Market By Deployment
10.4.3. Market By Services
10.4.4. Market By Organization Size
10.4.5. Market By Verticals
10.5. Rest Of Europe
10.5.1. Country Overview
10.5.2. Market By Deployment
10.5.3. Market By Services
10.5.4. Market By Organization Size
10.5.5. Market By Verticals
11. Competitive Landscape
11.1. Market Share Analysis
11.2. Key Company Analysis
11.3. Corporate Strategies
11.3.1. Merger & Acquisitions
11.3.2. Product Development
11.3.3. Collaboration & Partnership
11.3.4. Other Key Strategies
11.4. Company Profiles
11.4.1. Amazon Web Services Inc.
11.4.2. Baidu, Inc
11.4.3. Dell, Inc
11.4.4. Fair Isaac Corporation (Fico)
11.4.5. Fractal Analytics
11.4.6. Google, Inc
11.4.7. Hewlett Packard Enterprise (Hpe)
11.4.8. Ibm Corporation (International Business Machines)
11.4.9. Intel Corporation
11.4.10. Microsoft Corporation
11.4.11. Oracle Corporation
11.4.12. Sap Se
11.4.13. Teradata Corporation
11.4.14. Tibco Software Inc.
11.4.15. Trademarkvision
List Of Tables
Table 1: Europe Machine Learning Market, By Country, 2018-2026 (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, 2018-2026, (In $ Million)
Table 5: Europe Machine Learning Market, By Services, 2018-2026, (In $ Million)
Table 6: Europe Machine Learning Market, By Organization Size, 2018-2026, (In $ Million)
Table 7: Europe Machine Learning Market, By Verticals 2018-2026, (In $ Million)
Table 8: Opportunity Matrix
Table 9: Vendor Landscape
Table 10: Patents Filled In Machine Leaning By Key Technology Companies, 2017
Table 11: Europe Machine Learning Market, By Country, 2018-2026 (In $ Million)
Table 12: United Kingdom Machine Learning Market, By Deployment, 2018-2026 (In $ Million)
Table 13: United Kingdom Machine Learning Market, By Organization Size, 2018-2026 (In $ Million)
Table 14: United Kingdom Machine Learning Market, By Services, 2018-2026 (In $ Million)
Table 15: United Kingdom Machine Learning Market, By Verticals, 2018-2026 (In $ Million)
Table 16: France Machine Learning Market, By Deployment, 2018-2026 (In $ Million)
Table 17: France Machine Learning Market, By Organization Size, 2018-2026 (In $ Million)
Table 18: France Machine Learning Market, By Services, 2018-2026 (In $ Million)
Table 19: France Machine Learning Market, By Verticals, 2018-2026 (In $ Million)
Table 20: Germany Machine Learning Market, By Deployment, 2018-2026 (In $ Million)
Table 21: Germany Machine Learning Market, By Organization Size, 2018-2026 (In $ Million)
Table 22: Germany Machine Learning Market, By Services, 2018-2026 (In $ Million)
Table 23: Germany Machine Learning Market, By Verticals, 2018-2026 (In $ Million)
Table 24: Spain Machine Learning Market, By Deployment, 2018-2026 (In $ Million)
Table 25: Spain Machine Learning Market, By Organization Size, 2018-2026 (In $ Million)
Table 26: Spain Machine Learning Market, By Services, 2018-2026 (In $ Million)
Table 27: Spain Machine Learning Market, By Verticals, 2018-2026 (In $ Million)
Table 28: Rest Of Europe Machine Learning Market, By Deployment, 2018-2026 (In $ Million)
Table 29: Rest Of Europe Machine Learning Market, By Organization Size, 2018-2026 (In $ Million)
Table 30: Rest Of Europe Machine Learning Market, By Services, 2018-2026 (In $ Million)
Table 31: Rest Of Europe Machine Learning Market, By Verticals, 2018-2026 (In $ Million)
Table 32: List Of Merger & Acquisitions
Table 33: List Of Product Development
Table 34: List Of Collaboration & Partnership
Table 35: List Of Other Key Strategies
List Of Figures
Figure 1: Europe Machine Learning Market, By Verticals, 2017 & 2026 (In %)
Figure 2: Number Of Connected Devices Worldwide, 2015-2025
Figure 3: Europe Machine Learning Market, By Cloud, 2018-2026 (In $ Million)
Figure 4: Europe Machine Learning Market, By On-premise, 2018-2026 (In $ Million)
Figure 5: Europe Machine Learning Market, By Professional Services, 2018-2026 (In $ Million)
Figure 6: Europe Machine Learning Market, By Managed Services, 2018-2026 (In $ Million)
Figure 7: Europe Machine Learning Market, By Large Enterprises, 2018-2026 (In $ Million)
Figure 8: Europe Machine Learning Market, By Small & Medium-sized Enterprises (Sme’s), 2018-2026 (In $ Million)
Figure 9: Europe Machine Learning Market, By Banking, Financial Services & Insurance (Bfsi), 2018-2026 (In $ Million)
Figure 10: Europe Machine Learning Market, By Healthcare & Life Sciences, 2018-2026 (In $ Million)
Figure 11: Europe Machine Learning Market, By Retail, 2018-2026 (In $ Million)
Figure 12: Europe Machine Learning Market, By Telecommunication, 2018-2026 (In $ Million)
Figure 13: Europe Machine Learning Market, By Government & Defense, 2018-2026 (In $ Million)
Figure 14: Europe Machine Learning Market, By Manufacturing, 2018-2026 (In $ Million)
Figure 15: Europe Machine Learning Market, By Energy & Utilities, 2018-2026 (In $ Million)
Figure 16: Europe Machine Learning Market, By Other Verticals, 2018-2026 (In $ Million)
Figure 17: Porter’s Five Force Analysis
Figure 18: Key Buying Impact Analysis
Figure 19: Value Chain Analysis
Figure 20: Patents Filled In Artificial Intelligence By Key Technology Companies, 2009-2017
Figure 21: Investment Analysis Of Machine Learning Market, By Verticals, In 2017
Figure 22: Investment Analysis Of Machine Learning Market, By Deployment, In 2017
Figure 23: Europe Machine Learning Market, Regional Outlook, 2017 & 2026 (In %)
Figure 24: United Kingdom Machine Learning Market, 2018-2026 (In $ Million)
Figure 25: France Machine Learning Market, 2018-2026 (In $ Million)
Figure 26: Germany Machine Learning Market, 2018-2026 (In $ Million)
Figure 27: Spain Machine Learning Market, 2018-2026 (In $ Million)
Figure 28: Rest Of Europe Machine Learning Market, 2018-2026 (In $ Million)
Figure 29: Market Share Analysis Of Key Players In 2017 (In %)

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