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 ARTIFICIAL INTELLIGENCE (AI) IN RETAIL MARKET BY COMPONET
5.1. Introduction
5.2. Hardware
5.3. Software
5.4. Services
6. US ARTIFICIAL INTELLIGENCE (AI) IN RETAIL MARKET BY DEPLOYMENT
6.1. Introduction
6.2. Cloud
6.3. On-Premise
7. US ARTIFICIAL INTELLIGENCE (AI) IN RETAIL MARKET BY TECHNOLOGY
7.1. Introduction
7.2. Machine Learning (ML)
7.3. Natural Language Processing (NLP)
7.4. Computer Vision
7.5. Internet of Things (IoT)
7.6. Others
8. US ARTIFICIAL INTELLIGENCE (AI) IN RETAIL MARKET BY APPLICATION
8.1. Introduction
8.2. Demand Forecasting
8.3. Customer Relationship Management
8.4. Supply Chain Management
8.5. Fraud Detection & Loss Prevention
8.6. Others
9. COMPETITIVE ENVIRONMENT AND ANALYSIS
9.1. Major Players and Strategy Analysis
9.2. Market Share Analysis
9.3. Mergers, Acquisitions, Agreements, and Collaborations
9.4. Competitive Dashboard
10. COMPANY PROFILES
10.1. Hitachi Solutions
10.2. IBM
10.3. Oracle Corporation
10.4. Intel Corporation
10.5. Accenture Plc
10.6. NVIDIA Corporation
10.7. Kustomer
10.8. Hewlett Packard Enterprise
10.9. Addepto sp. z o.o.
10.10. H2O.ai
10.11. Matellio Inc
10.12. Microsoft Corporation
10.13. Google
11. APPENDIX
11.1. Currency
11.2. Assumptions
11.3. Base and Forecast Years Timeline
11.4. Key benefits for the stakeholders
11.5. Research Methodology
11.6. Abbreviations
LIST OF FIGURES
LIST OF TABLES