Generative AI in E-Commerce Market Size, Share, and Trends 2026 to 2035

Generative AI in E-Commerce Market (By Deployment Mode: Cloud-based, On-premises, Hybrid; By Technology: Natural Language Processing, Computer Vision, Machine Learning, Speech Recognition, Augmented Reality; By Application: B2B, B2C, Personal, Business Use, Seasonal Use, Other Applications) - Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2026 to 2035

Last Updated : 30 Dec 2025  |  Report Code : 3152  |  Category : ICT   |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Generative AI in E-Commerce Market 

5.1. COVID-19 Landscape: Generative AI in E-Commerce Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Generative AI in E-Commerce Market, By Deployment Mode

8.1. Generative AI in E-Commerce Market, by Deployment Mode

8.1.1 Cloud-based

8.1.1.1. Market Revenue and Forecast

8.1.2. On-premises

8.1.2.1. Market Revenue and Forecast

8.1.3. Hybrid

8.1.3.1. Market Revenue and Forecast

Chapter 9. Global Generative AI in E-Commerce Market, By Technology

9.1. Generative AI in E-Commerce Market, by Technology

9.1.1. Natural Language Processing

9.1.1.1. Market Revenue and Forecast

9.1.2. Computer Vision

9.1.2.1. Market Revenue and Forecast

9.1.3. Machine Learning

9.1.3.1. Market Revenue and Forecast

9.1.4. Speech Recognition

9.1.4.1. Market Revenue and Forecast

9.1.5. Augmented Reality

9.1.5.1. Market Revenue and Forecast

Chapter 10. Global Generative AI in E-Commerce Market, By Application 

10.1. Generative AI in E-Commerce Market, by Application

10.1.1. B2B

10.1.1.1. Market Revenue and Forecast

10.1.2. B2C

10.1.2.1. Market Revenue and Forecast

10.1.3. Personal

10.1.3.1. Market Revenue and Forecast

10.1.4. Business Use

10.1.4.1. Market Revenue and Forecast

10.1.5. Seasonal Use

10.1.5.1. Market Revenue and Forecast

10.1.6. Other Applications

10.1.6.1. Market Revenue and Forecast

Chapter 11. Global Generative AI in E-Commerce Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Deployment Mode

11.1.2. Market Revenue and Forecast, by Technology

11.1.3. Market Revenue and Forecast, by Application

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Deployment Mode

11.1.4.2. Market Revenue and Forecast, by Technology

11.1.4.3. Market Revenue and Forecast, by Application

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Deployment Mode

11.1.5.2. Market Revenue and Forecast, by Technology

11.1.5.3. Market Revenue and Forecast, by Application

11.2. Europe

11.2.1. Market Revenue and Forecast, by Deployment Mode

11.2.2. Market Revenue and Forecast, by Technology

11.2.3. Market Revenue and Forecast, by Application

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Deployment Mode

11.2.4.2. Market Revenue and Forecast, by Technology

11.2.4.3. Market Revenue and Forecast, by Application

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Deployment Mode

11.2.5.2. Market Revenue and Forecast, by Technology

11.2.5.3. Market Revenue and Forecast, by Application

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Deployment Mode

11.2.6.2. Market Revenue and Forecast, by Technology

11.2.6.3. Market Revenue and Forecast, by Application

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Deployment Mode

11.2.7.2. Market Revenue and Forecast, by Technology

11.2.7.3. Market Revenue and Forecast, by Application

11.3. APAC

11.3.1. Market Revenue and Forecast, by Deployment Mode

11.3.2. Market Revenue and Forecast, by Technology

11.3.3. Market Revenue and Forecast, by Application

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Deployment Mode

11.3.4.2. Market Revenue and Forecast, by Technology

11.3.4.3. Market Revenue and Forecast, by Application

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Deployment Mode

11.3.5.2. Market Revenue and Forecast, by Technology

11.3.5.3. Market Revenue and Forecast, by Application

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Deployment Mode

11.3.6.2. Market Revenue and Forecast, by Technology

11.3.6.3. Market Revenue and Forecast, by Application

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Deployment Mode

11.3.7.2. Market Revenue and Forecast, by Technology

11.3.7.3. Market Revenue and Forecast, by Application

11.4. MEA

11.4.1. Market Revenue and Forecast, by Deployment Mode

11.4.2. Market Revenue and Forecast, by Technology

11.4.3. Market Revenue and Forecast, by Application

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Deployment Mode

11.4.4.2. Market Revenue and Forecast, by Technology

11.4.4.3. Market Revenue and Forecast, by Application

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Deployment Mode

11.4.5.2. Market Revenue and Forecast, by Technology

11.4.5.3. Market Revenue and Forecast, by Application

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Deployment Mode

11.4.6.2. Market Revenue and Forecast, by Technology

11.4.6.3. Market Revenue and Forecast, by Application

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Deployment Mode

11.4.7.2. Market Revenue and Forecast, by Technology

11.4.7.3. Market Revenue and Forecast, by Application

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Deployment Mode

11.5.2. Market Revenue and Forecast, by Technology

11.5.3. Market Revenue and Forecast, by Application

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Deployment Mode

11.5.4.2. Market Revenue and Forecast, by Technology

11.5.4.3. Market Revenue and Forecast, by Application

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Deployment Mode

11.5.5.2. Market Revenue and Forecast, by Technology

11.5.5.3. Market Revenue and Forecast, by Application

Chapter 12. Company Profiles

12.1. Amazon, Inc

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. Jingdong

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. Meituan

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. Suning.com

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. Otto Group

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. Shein

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Rakuten, Inc

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. Wayfair

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. eBay

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. Zalando

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

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Frequently Asked Questions

Answer : The global generative AI in e-commerce market size surpassed USD 962.24 million in 2025 and it is expected to increase USD 3,949.94 million by 2035.

Answer : The global generative AI in e-commerce market will register growth rate of 15.17% between 2026 to 2035.

Answer : The major players operating in the generative AI in e-commerce market are Amazon, Inc, Jingdong, Meituan, Suning.com, Otto Group Shein, Rakuten, Inc, Wayfair, eBay, Zalando, B2W Companhia Digital, Groupon, and Others.

Answer : The driving factors of the generative AI in e-commerce market are the increasing demand for product recommendations and growing demand for content creation.

Answer : North America region will lead the global generative AI in e-commerce market during the forecast period 2026 to 2035.

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