North America Machine Learning Market Forecast 2019-2027

Best Price Guarantee	Length	Publisher	Published Date	SKU
from $1,250	104 Pages	Inkwood Research	August, 2019	INKR16007975

Best Price Guarantee
Price	from $1,250
Length	104 Pages
Publisher	Inkwood Research
Published Date	August, 2019
SKU	INKR16007975

North America Machine Learning Market Forecast 2019-2027

KEY FINDINGS
Machine learning is related to computational statistics that focus on prediction making with the use of computers. In 2018, North America machine learning market accounted for a share of XX% in terms of revenue. The North America machine learning market is forecasted to grow with 31.87% CAGR during the projected years of 2019 to 2027 and is expected to reach a value of $XX million by 2027.
MARKET INSIGHTS
The North America machine learning market comprises of economies such the United States and Canada. The growth of machine learning market in the region is primarily driven by wide applications of the technology in numerous industries like healthcare, banking & insurance, retail, manufacturing, government & defense, and others. Also, the government initiatives that encourage the adoption of artificial intelligence and machine learning across industries is further fuelling the machine learning market growth in the region.
COMPETITIVE INSIGHTS
The machine learning market in the North America region has the presence of numerous prominent companies. Some of the eminent players operating in the market are Microsoft Corporation, Intel Corporation, Hewlett Packard Enterprise (HPE), TIBCO Software Inc., IBM Corporation, Google Inc., Fractal Analytics, Oracle Corporation, TrademarkVision, SAP SE, and Teradata Corporation. The dominant players are introducing new & advanced products and promoting the adoption of machine learning in the region.

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 (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 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
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: North America 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: North America Machine Learning Market, By Deployment, 2019-2027 (In $ Million); Table 5: North America Machine Learning Market, By Services, 2019-2027 (In $ Million); Table 6: North America Machine Learning Market, By Organization Size, 2019-2027 (In $ Million); Table 7: North America 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: North America 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: North America Machine Learning Market, By Industry Verticals, 2018 & 2027 (In %); Figure 2: North America Machine Learning Market, 2019-2027 (In $ Million); Figure 3: Number Of Connected Devices Worldwide, 2015-2025; Figure 4: North America Machine Learning Market, By Cloud, 2019-2027 (In $ Million); Figure 5: North America Machine Learning Market, By On-premise, 2019-2027 (In $ Million); Figure 6: North America Machine Learning Market, By Professional Services, 2019-2027 (In $ Million); Figure 7: North America Machine Learning Market, By Managed Services, 2019-2027 (In $ Million); Figure 8: North America Machine Learning Market, By Large Enterprises, 2019-2027 (In $ Million); Figure 9: North America Machine Learning Market, By Small & Medium-sized Enterprises (Smes), 2019-2027 (In $ Million); Figure 10: North America Machine Learning Market, By Banking, Financial Services & Insurance (Bfsi), 2019-2027 (In $ Million); Figure 11: North America Machine Learning Market, By Healthcare & Life Sciences, 2019-2027 (In $ Million); Figure 12: North America Machine Learning Market, By Retail, 2019-2027 (In $ Million); Figure 13: North America Machine Learning Market, By Telecommunication, 2019-2027 (In $ Million); Figure 14: North America Machine Learning Market, By Government & Defense, 2019-2027 (In $ Million); Figure 15: North America Machine Learning Market, By Manufacturing, 2019-2027 (In $ Million); Figure 16: North America Machine Learning Market, By Media & Advertising, 2019-2027 (In $ Million); Figure 17: North America Machine Learning Market, By Energy & Utilities, 2019-2027 (In $ Million); Figure 18: North America Machine Learning Market, By Other Verticals, 2019-2027 (In $ Million); Figure 19: Porter’s Five Force Analysis; Figure 20: Key Buying Impact Analysis; Figure 21: Value Chain Analysis; Figure 22: Patents Filled In Artificial Intelligence By Key Technology Companies, 2009-2017; Figure 23: North America Machine Learning Market, Regional Outlook, 2018 & 2027 (In %); Figure 24: United States Machine Learning Market, 2019-2027 (In $ Million); Figure 25: Canada Machine Learning Market, 2019-2027 (In $ Million); Figure 26: Market Share Analysis Of Key Players In 2017 (In %)