CHAPTER 1 INTRODUCTION
1.1. Market Definition
1.2. Executive Summary
1.3. The Scope of the Study
CHAPTER 2 RESEARCH METHODOLOGY
2.1. Secondary Research
2.2. Primary Research
2.3. Analytic Tools and Model
2.4. Economic Indicator
2.4.1. Base Year, Base Currency, Forecasting Period
2.5. Expert Validation
2.6. Study Timeline
CHAPTER 3 MARKET ANALYSIS
3.1. Industry Value Chain Analysis
3.2. Porter's Five Force Analysis
3.2.1. Bargaining Power of Buyers
3.2.2. Bargaining Power of Suppliers
3.2.3. Threats of Substitutes
3.2.4. Threats of New Entrants
3.2.5. Degree of Competition
3.3. PESTLE Analysis
3.3.1. Political
3.3.2. Economical
3.3.3. Social
3.3.4. Technological
3.3.5. Legal
3.3.6. Environmental
3.4. SWOT Analysis
3.4.1. Strengths
3.4.2. Weakness
3.4.3. Opportunities
3.4.4. Threats
3.5. Y-O-Y Analysis
CHAPTER 4 MARKET DYNAMICS
4.1. Market Drivers
4.1.1. Increasing in technological advancements
4.1.2. Emerging in data generation
4.2. Market Restraints & Challenges
4.2.1. Lack of skilled employees
4.2.2. Growing sensitive data security
4.2.3. Ethical implications of the algorithms deployed
4.3. Market Opportunities
4.3.1. Growing demand for intelligent business processes
4.3.2. Increasing adoption in modern applications.
CHAPTER 5 GLOBAL MACHINE LEARNING MARKET – BY SERVICE
5.1. Professional Services
5.2. Managed Services
CHAPTER 6 GLOBAL MACHINE LEARNING MARKET – BY DEPLOYMENT MODEL
6.1. Hosted
6.2. On-Premises
CHAPTER 7 GLOBAL MACHINE LEARNING MARKET – BY ORGANISATION SIZE
7.1. Small & Medium Enterprise
7.2. Large Enterprise
CHAPTER 8 GLOBAL MACHINE LEARNING MARKET – BY END USER
8.1. BFSI
8.1.1. Fraud and Risk Management
8.1.2. Customer Segmentation
8.1.3. Sales and Marketing Campaign Management
8.1.4. Investment Prediction
8.1.5. Digital Assistance
8.1.6. Others
8.2. Healthcare and Life Sciences
8.2.1. Disease Identification and Diagnosis
8.2.2. Image Analytics
8.2.3. Personalized Treatment
8.2.4. Drug Discovery/Manufacturing
8.2.5. Others
8.3. Retail
8.3.1. Inventory Planning
8.3.2. Recommendation Engines
8.3.3. Upsells and Cross Channel Marketing
8.3.4. Segmentation and Targeting
8.3.5. Others
8.4. Telecommunications
8.4.1. Customer Analytics
8.4.2. Network Security
8.4.3. Network Optimization
8.4.4. Others
8.5. Government and Defense
8.5.1. Autonomous Defense System
8.5.2. Threat Intelligence
8.5.3. Others
8.6. Manufacturing
8.6.1. Predictive Maintenance
8.6.2. Revenue Estimation
8.6.3. Demand Forecasting
8.6.4. Supply Chain Management
8.6.5. Others
8.7. Energy and Utilities
8.7.1. Power/Energy Usage Analytics
8.7.2. Seismic Data Processing
8.7.3. Carbon Emission
8.7.4. Smart Grid Management
8.7.5. Others
8.8. Others
CHAPTER 9 GLOBAL MACHINE LEARNING MARKET - BY GEOGRAPHY
9.1. Introduction
9.2. North America
9.2.1. U.S.
9.2.2. Canada
9.2.3. Mexico
9.2.4. Costa Rica
9.3. South America
9.3.1. Brazil
9.3.2. Argentina
9.3.3. Chile
9.3.4. Columbia
9.3.5. Others
9.4. Europe
9.4.1. U.K.
9.4.2. Germany
9.4.3. France
9.4.4. Italy
9.4.5. Spain
9.4.6. Russia
9.4.7. Netherlands
9.4.8. Switzerland
9.4.9. Poland
9.4.10. Others
9.5. Asia-Pacific
9.5.1. China
9.5.2. Japan
9.5.3. India
9.5.4. South Korea
9.5.5. Australia & New Zealand
9.5.6. Malaysia
9.5.7. Singapore
9.5.8. Others
9.6. Middle East & Africa
9.6.1. UAE
9.6.2. Saudi Arabia
9.6.3. Iran
9.6.4. Iraq
9.6.5. Qatar
9.6.6. South Africa
9.6.7. Algeria
9.6.8. Morocco
9.6.9. Nigeria
9.6.10. Egypt
9.6.11. Others
CHAPTER 10 GLOBAL MACHINE LEARNING MARKET - COMPANY PROFILES
10.1. SAS Institute Inc.
10.2. Microsoft Corporation
10.3. SAP SE
10.4. Amazon Web Services, Inc.
10.5. Bigml, Inc.
10.6. IBM Corporation
10.7. Google Inc.
10.8. Fair Isaac Corporation
10.9. Baidu, Inc.
10.10. Hewlett Packard Enterprise Development LP
10.11. Intel Corporation
10.12. H2o.AI
10.13. Twitter Inc.
10.14. Apple Inc.
10.15. Salesforce Inc.
CHAPTER 11 GLOBAL MACHINE LEARNING MARKET - COMPETITIVE LANDSCAPE
11.1. Market Share Analysis
11.2. Strategies adopted by top companies
11.3. Mergers, Acquisitions, Collaborations & Agreements
CHAPTER 12 MARKET INSIGHTS
12.1. Industry Experts Insights
12.2. Analysts Opinions
12.3. Investment Opportunities
CHAPTER 13 APPENDIX
13.1. List of Tables
13.2. List of Figures
