1. EXECUTIVE SUMMARY
2. MARKET SNAPSHOT
2.1. Market Overview
2.2. Market Definition
2.3. Scope of the Study
2.4. Market Segmentation
3. BUSINESS LANDSCAPE
3.1. Market Drivers
3.2. Market Restraints
3.3. Market Opportunities
3.4. Porter's Five Forces Analysis
3.5. Industry Value Chain Analysis
3.6. Policies and Regulations
3.7. Strategic Recommendations
4. TECHNOLOGICAL OUTLOOK
5. US AI IN E-COMMERCE MARKET BY COMPONENT
5.1. Introduction
5.2. Software
5.3. Services
6. US AI IN E-COMMERCE MARKET BY TECHNOLOGY
6.1. Introduction
6.2. Machine Learning
6.3. Natural Language Processing (NLP)
6.4. Speech Recognition
6.5. Computer Vision
6.6. Others
7. US AI IN E-COMMERCE MARKET BY APPLICATION
7.1. Introduction
7.2. Product Recommendations
7.3. Customer Service & Support
7.4. Inventory Management
7.5. Customer Relationship Management (CRM)
7.6. Supply Chain Analysis & Warehouse Automation
7.7. Others
8. COMPETITIVE ENVIRONMENT AND ANALYSIS
8.1. Major Players and Strategy Analysis
8.2. Market Share Analysis
8.3. Mergers, Acquisitions, Agreements, and Collaborations
8.4. Competitive Dashboard
9. COMPANY PROFILES
9.1. Salesforce
9.2. Amazon
9.3. Alphabet
9.4. Microsoft
9.5. Adobe
9.6. IBM
9.7. Oracle
9.8. DataRobot
9.9. H2O.ai
9.10. Dataiku
10. APPENDIX
10.1. Currency
10.2. Assumptions
10.3. Base and Forecast Years Timeline
10.4. Key benefits for the stakeholders
10.5. Research Methodology
10.6. Abbreviations
LIST OF FIGURES
LIST OF TABLES