Table of Content

Table of Contents

1. Executive Summary

2. Global AI+E-Commerce 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 2019 to 2031
3.1. Macroeconomic Trends (2019-2024) and Forecast (2025-2031)
3.2. Global AI+E-Commerce Retail Market Trends (2019-2024) and Forecast (2025-2031)
3.3: Global AI+E-Commerce Retail Market by Type
3.3.1: Recommendation System
3.3.2: Intelligent Customer Service
3.3.3: Supply Chain Optimization
3.3.4: Virtual Fitting Room
3.3.5: Smart Payment
3.3.6: Dynamic Price Adjustment
3.4: Global AI+E-Commerce Retail Market by Application
3.4.1: Personalized Recommendations
3.4.2: Intelligent Customer Service
3.4.3: Virtual Fitting Room
3.4.4: Supply Chain Optimization
3.4.5: Smart Payment

4. Market Trends and Forecast Analysis by Region from 2019 to 2031
4.1: Global AI+E-Commerce Retail Market by Region
4.2: North American AI+E-Commerce Retail Market
4.2.1: North American Market by Type: Recommendation System, Intelligent Customer Service, Supply Chain Optimization, Virtual Fitting Room, Smart Payment, and Dynamic Price Adjustment
4.2.2: North American Market by Application: Personalized Recommendations, Intelligent Customer Service, Virtual Fitting Room, Supply Chain Optimization, and Smart Payment
4.3: European AI+E-Commerce Retail Market
4.3.1: European Market by Type: Recommendation System, Intelligent Customer Service, Supply Chain Optimization, Virtual Fitting Room, Smart Payment, and Dynamic Price Adjustment
4.3.2: European Market by Application: Personalized Recommendations, Intelligent Customer Service, Virtual Fitting Room, Supply Chain Optimization, and Smart Payment
4.4: APAC AI+E-Commerce Retail Market
4.4.1: APAC Market by Type: Recommendation System, Intelligent Customer Service, Supply Chain Optimization, Virtual Fitting Room, Smart Payment, and Dynamic Price Adjustment
4.4.2: APAC Market by Application: Personalized Recommendations, Intelligent Customer Service, Virtual Fitting Room, Supply Chain Optimization, and Smart Payment
4.5: ROW AI+E-Commerce Retail Market
4.5.1: ROW Market by Type: Recommendation System, Intelligent Customer Service, Supply Chain Optimization, Virtual Fitting Room, Smart Payment, and Dynamic Price Adjustment
4.5.2: ROW Market by Application: Personalized Recommendations, Intelligent Customer Service, Virtual Fitting Room, Supply Chain Optimization, and Smart Payment

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 the Global AI+E-Commerce Retail Market by Type
6.1.2: Growth Opportunities for the Global AI+E-Commerce Retail Market by Application
6.1.3: Growth Opportunities for the Global AI+E-Commerce Retail Market by Region
6.2: Emerging Trends in the Global AI+E-Commerce Retail Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global AI+E-Commerce Retail Market
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI+E-Commerce Retail Market
6.3.4: Certification and Licensing

7. Company Profiles of Leading Players
7.1: Amazon
7.2: Jingdong
7.3: Tencent
7.4: Google
7.5: Microsoft
7.6: IBM
7.7: Baidu
7.8: eBay
7.9: Zalando
7.10: Alibaba