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North America Machine Learning Market Forecast 2018-2026

North America Machine Learning Market Forecast 2018-2026

KEY FINDINGS

Machine learning is related to computational statistics that focuses on prediction making with the use of computers. In 2017, North America contributed the highest share to the global machine learning market. Between the projected years of 2018-2026, the North America machine learning market is forecasted to rise with a 35.94% CAGR.

MARKET INSIGHTS

A strong need to understand the behaviour of customers is driving the organization to build personalized relationships based on customer activities and interaction. As a result, there is a growing interest in intelligent business processes to sharpen their decision makings. This growing interest is expected to present the market with significant growth opportunities to expand over the projected years. The North American market is also witnessing a trend of integrating machine learning with big data and artificial intelligence.

COMPETITIVE INSIGHTS

Companies such as Google Inc. (U.S.), IBM (U.S.), Microsoft Corporation (U.S.) and others are introducing new and advanced products and promoting the adoption of machine learning across the region. Some other eminent market players include Teradata Corporation, Baidu Inc, Hewlett Packard Enterprise (HPE), Amazon Web Services Inc, Sap Se, Fractal Analytics, Oracle Corporation, Dell Inc, Trademarkvision and Intel Corporation.


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. Cloud Is The Most Preferred Deployment Mode
3.2.3. Small & Medium-sized Enterprises (Sme’s) Are Projected To Grow At The Fastest Cagr
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. 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 The Adoption 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. 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. 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 - North America
10.1. United States
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. Canada
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
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: North America 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: North America Machine Learning Market, By Deployment, 2018-2026, (In $ Million)
Table 5: North America Machine Learning Market, By Services, 2018-2026, (In $ Million)
Table 6: North America Machine Learning Market, By Organization Size, 2018-2026, (In $ Million)
Table 7: North America 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: North America Machine Learning Market, By Country, 2018-2026 (In $ Million)
Table 12: United States Machine Learning Market, By Deployment, 2018-2026 (In $ Million)
Table 13: United States Machine Learning Market, By Organization Size, 2018-2026 (In $ Million)
Table 14: United States Machine Learning Market, By Services, 2018-2026 (In $ Million)
Table 15: United States Machine Learning Market, By Verticals, 2018-2026 (In $ Million)
Table 16: Canada Machine Learning Market, By Deployment, 2018-2026 (In $ Million)
Table 17: Canada Machine Learning Market, By Services, 2018-2026 (In $ Million)
Table 18: Canada Machine Learning Market, By Organization Size, 2018-2026 (In $ Million)
Table 19: Canada Machine Learning Market, By Verticals, 2018-2026 (In $ Million)
Table 20: List Of Merger & Acquisitions
Table 21: List Of Product Development
Table 22: List Of Collaboration & Partnership
Table 23: List Of Other Key Strategies
List Of Figures
Figure 1: North America Machine Learning Market, By Verticals, 2017 & 2026 (In %)
Figure 2: North America Machine Learning Market, 2018 - 2026 (In $ Million)
Figure 3: Number Of Connected Devices Worldwide, 2015-2025
Figure 4: North America Machine Learning Market, By Cloud, 2018-2026 (In $ Million)
Figure 5: North America Machine Learning Market, By On-premise, 2018-2026 (In $ Million)
Figure 6: North America Machine Learning Market, By Professional Services, 2018-2026 (In $ Million)
Figure 7: North America Machine Learning Market, By Managed Services, 2018-2026 (In $ Million)
Figure 8: North America Machine Learning Market, By Large Enterprises, 2018-2026 (In $ Million)
Figure 9: North America Machine Learning Market, By Small & Medium-sized Enterprises (Sme’s), 2018-2026 (In $ Million)
Figure 10: North America Machine Learning Market, By Banking, Financial Services & Insurance (Bfsi), 2018-2026 (In $ Million)
Figure 11: North America Machine Learning Market, By Healthcare & Life Sciences, 2018-2026 (In $ Million)
Figure 12: North America Machine Learning Market, By Retail, 2018-2026 (In $ Million)
Figure 13: North America Machine Learning Market, By Telecommunication, 2018-2026 (In $ Million)
Figure 14: North America Machine Learning Market, By Government & Defense, 2018-2026 (In $ Million)
Figure 15: North America Machine Learning Market, By Manufacturing, 2018-2026 (In $ Million)
Figure 16: North America Machine Learning Market, By Energy & Utilities, 2018-2026 (In $ Million)
Figure 17: North America Machine Learning Market, By Other Verticals, 2018-2026 (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: Investment Analysis Of Machine Learning Market, By Verticals, In 2017
Figure 23: Investment Analysis Of Machine Learning Market, By Deployment, In 2017
Figure 24: North America Machine Learning Market, Regional Outlook, 2017 & 2026 (In %)
Figure 25: United States Machine Learning Market, 2018-2026 (In $ Million)
Figure 26: Canada Machine Learning Market, 2018-2026 (In $ Million)
Figure 27: Market Share Analysis Of Key Players In 2017 (In %)

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