Table of Content




1. Executive Summary


2. Artificial Intelligence in the Global Retail Market: Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges


3. Market Trends and Forecast Analysis from 2017 to 2028
3.1: Macroeconomic Trends (2017-2022) and Forecast (2023-2028)
3.2: Artificial Intelligence in the Global Retail Market Trends (2017-2022) and Forecast (2023-2028)
3.3: Artificial Intelligence in the Global Retail Market by Component
3.3.1: Solution
3.3.2: Service
3.4: Artificial Intelligence in the Global Retail Market by Technology
3.4.1: Image and Video Analytics
3.4.2: Machine Learning
3.4.3: Natural Language Processing
3.4.4: Swarm Intelligence
3.4.5: Chatbots
3.5: Artificial Intelligence in the Global Retail Market by Sales Channel
3.5.1: Bricks and Motors
3.5.2: Omnichannels
3.5.3: Pure-Play Online Retailers
3.6: Artificial Intelligence in the Global Retail Market by Application
3.6.1: Predictive Merchandising
3.6.2: Programmatic Advertising
3.6.3: Market Forecasting
3.6.4: In-Store Visual Monitoring and Surveillance
3.6.5: Location-Based Marketing
3.6.6: Others


4. Market Trends and Forecast Analysis by Region from 2017 to 2028
4.1: Artificial Intelligence in the Global Retail Market by Region
4.2: Artificial Intelligence in the North American Retail Market
4.2.1: Artificial Intelligence in the North American Retail Market by Component: Solution and Service
4.2.2: Artificial Intelligence in the North American Retail Market by Application: Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, and Others
4.3: Artificial Intelligence in the European Retail Market
4.3.1: Artificial Intelligence in the European Retail Market by Component: Solution and Service
4.3.2: Artificial Intelligence in the European Retail Market by Application: Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, and Others
4.4: Artificial Intelligence in the APAC Retail Market
4.4.1: Artificial Intelligence in the APAC Retail Market by Component: Solution and Service
4.4.2: Artificial Intelligence in the APAC Retail Market by Application: Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, and Others
4.5: Artificial Intelligence in the ROW Retail Market
4.5.1: Artificial Intelligence in the ROW Retail Market by Component: Solution and Service
4.5.2: Artificial Intelligence in the ROW Retail Market by Application: Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, and Others


5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis


6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for Artificial Intelligence in the Global Retail Market by Component
6.1.2: Growth Opportunities for Artificial Intelligence in the Global Retail Market by Technology
6.1.3: Growth Opportunities for Artificial Intelligence in the Global Retail Market by Sales Channel
6.1.4: Growth Opportunities for Artificial Intelligence in the Global Retail Market by Application
6.1.5: Growth Opportunities for Artificial Intelligence in the Global Retail Market by Region
6.2: Emerging Trends in Artificial Intelligence in the Global Retail Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global Retail Market in terms of Artificial Intelligence Usage
6.3.3: Mergers, Acquisitions, and Joint Ventures in Artificial Intelligence in the Global Retail Market
6.3.4: Certification and Licensing


7. Company Profiles of Leading Players
7.1: IBM
7.2: Microsoft
7.3: SAP SE
7.4: Amazon Web Services
7:5: Oracle