AI Shopping Assistant Market Size to Hit USD 37.45 Billion by 2034

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

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 Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on AI Shopping Assistant Market

5.1. COVID-19 Landscape: AI Shopping Assistant 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

Chapter 6. Market Dynamics Analysis and Trends

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 AI Shopping Assistant Market, By Technology Type

8.1. AI Shopping Assistant Market, by Technology Type

8.1.1. Natural Language Processing (NLP)

8.1.1.1. Market Revenue and Forecast

8.1.2. Computer Vision

8.1.2.1. Market Revenue and Forecast

8.1.3. Machine Learning & Predictive Analytics

8.1.3.1. Market Revenue and Forecast

8.1.4. Voice Recognition

8.1.4.1. Market Revenue and Forecast

8.1.5. Others

8.1.5.1. Market Revenue and Forecast

Chapter 9. Global AI Shopping Assistant Market, By Deployment Mode

9.1. AI Shopping Assistant Market, by Deployment Mode

9.1.1. Cloud-based

9.1.1.1. Market Revenue and Forecast

9.1.2. On-Premises

9.1.2.1. Market Revenue and Forecast

9.1.3. Hybrid

9.1.3.1. Market Revenue and Forecast

Chapter 10. Global AI Shopping Assistant Market, By Application

10.1. AI Shopping Assistant Market, by Application

10.1.1. Product Discovery & Search

10.1.1.1. Market Revenue and Forecast

10.1.2. Price Comparison & Deals

10.1.2.1. Market Revenue and Forecast

10.1.3. Virtual Try-On

10.1.3.1. Market Revenue and Forecast

10.1.4. Customer Support

10.1.4.1. Market Revenue and Forecast

10.1.5. Checkout & Payments

10.1.5.1. Market Revenue and Forecast

10.1.6. Others

10.1.6.1. Market Revenue and Forecast

Chapter 11. Global AI Shopping Assistant Market, By End-User

11.1. AI Shopping Assistant Market, by End-User

11.1.1. E-commerce Platforms

11.1.1.1. Market Revenue and Forecast

11.1.2. Retail Chains

11.1.2.1. Market Revenue and Forecast

11.1.3. Consumer Electronics Brands

11.1.3.1. Market Revenue and Forecast

11.1.4. Fashion & Apparel Retailers

11.1.4.1. Market Revenue and Forecast

11.1.5. Grocery & Food Delivery Services

11.1.5.1. Market Revenue and Forecast

11.1.6. Others

11.1.6.1. Market Revenue and Forecast

Chapter 12. Global AI Shopping Assistant Market, By Retail Format

12.1. AI Shopping Assistant Market, by Retail Format

12.1.1. Online-Only Retailers

12.1.1.1. Market Revenue and Forecast

12.1.2. Omnichannel Retailers

12.1.2.1. Market Revenue and Forecast

12.1.3. In-store Digital Kiosks

12.1.3.1. Market Revenue and Forecast

12.1.4. Pop-up/Experience Stores

12.1.4.1. Market Revenue and Forecast

12.1.5. Others

12.1.5.1. Market Revenue and Forecast

Chapter 13. Global AI Shopping Assistant Market, By Device Integration

13.1. AI Shopping Assistant Market, by Device Integration

13.1.1. Smartphones & Tablets

13.1.1.1. Market Revenue and Forecast

13.1.2. Smart Speakers & Voice Devices

13.1.2.1. Market Revenue and Forecast

13.1.3. Smart Mirrors & Screens

13.1.3.1. Market Revenue and Forecast

13.1.4. In-store IoT Devices

13.1.4.1. Market Revenue and Forecast

13.1.5. Wearables

13.1.5.1. Market Revenue and Forecast

13.16. Others

13.1.6.1. Market Revenue and Forecast

Chapter 14. Global AI Shopping Assistant Market, Regional Estimates and Trend Forecast

14.1. North America

14.1.1. Market Revenue and Forecast, by Technology Type

14.1.2. Market Revenue and Forecast, by Deployment Mode

14.1.3. Market Revenue and Forecast, by Application

14.1.4. Market Revenue and Forecast, by End-User

14.1.5. Market Revenue and Forecast, by Retail Format

14.1.6. Market Revenue and Forecast, by Device Integration

14.1.7. U.S.

14.1.7.1. Market Revenue and Forecast, by Technology Type

14.1.7.2. Market Revenue and Forecast, by Deployment Mode

14.1.7.3. Market Revenue and Forecast, by Application

14.1.7.4. Market Revenue and Forecast, by End-User

14.1.8. Market Revenue and Forecast, by Retail Format

14.1.8.1. Market Revenue and Forecast, by Device Integration

14.1.9. Rest of North America

14.1.9.1. Market Revenue and Forecast, by Technology Type

14.1.9.2. Market Revenue and Forecast, by Deployment Mode

14.1.9.3. Market Revenue and Forecast, by Application

14.1.9.4. Market Revenue and Forecast, by End-User

14.1.10. Market Revenue and Forecast, by Retail Format

14.1.11. Market Revenue and Forecast, by Device Integration

14.1.11.1.

14.2. Europe

14.2.1. Market Revenue and Forecast, by Technology Type

14.2.2. Market Revenue and Forecast, by Deployment Mode

14.2.3. Market Revenue and Forecast, by Application

14.2.4. Market Revenue and Forecast, by End-User

14.2.5. Market Revenue and Forecast, by Retail Format

14.2.6. Market Revenue and Forecast, by Device Integration

14.2.7.

14.2.8. UK

14.2.8.1. Market Revenue and Forecast, by Technology Type

14.2.8.2. Market Revenue and Forecast, by Deployment Mode

14.2.8.3. Market Revenue and Forecast, by Application

14.2.9. Market Revenue and Forecast, by End-User

14.2.10. Market Revenue and Forecast, by Retail Format

14.2.10.1. Market Revenue and Forecast, by Device Integration

14.2.11. Germany

14.2.11.1. Market Revenue and Forecast, by Technology Type

14.2.11.2. Market Revenue and Forecast, by Deployment Mode

14.2.11.3. Market Revenue and Forecast, by Application

14.2.12. Market Revenue and Forecast, by End-User

14.2.13. Market Revenue and Forecast, by Retail Format

14.2.14. Market Revenue and Forecast, by Device Integration

14.2.14.1.

14.2.15. France

14.2.15.1. Market Revenue and Forecast, by Technology Type

14.2.15.2. Market Revenue and Forecast, by Deployment Mode

14.2.15.3. Market Revenue and Forecast, by Application

14.2.15.4. Market Revenue and Forecast, by End-User

14.2.16. Market Revenue and Forecast, by Retail Format

14.2.16.1. Market Revenue and Forecast, by Device Integration

14.2.17. Rest of Europe

14.2.17.1. Market Revenue and Forecast, by Technology Type

14.2.17.2. Market Revenue and Forecast, by Deployment Mode

14.2.17.3. Market Revenue and Forecast, by Application

14.2.17.4. Market Revenue and Forecast, by End-User

14.2.18. Market Revenue and Forecast, by Retail Format

14.2.18.1. Market Revenue and Forecast, by Device Integration

14.3. APAC

14.3.1. Market Revenue and Forecast, by Technology Type

14.3.2. Market Revenue and Forecast, by Deployment Mode

14.3.3. Market Revenue and Forecast, by Application

14.3.4. Market Revenue and Forecast, by End-User

14.3.5. Market Revenue and Forecast, by Retail Format

14.3.6. Market Revenue and Forecast, by Device Integration

14.3.7. India

14.3.7.1. Market Revenue and Forecast, by Technology Type

14.3.7.2. Market Revenue and Forecast, by Deployment Mode

14.3.7.3. Market Revenue and Forecast, by Application

14.3.7.4. Market Revenue and Forecast, by End-User

14.3.8. Market Revenue and Forecast, by Retail Format

14.3.9. Market Revenue and Forecast, by Device Integration

14.3.10. China

14.3.10.1. Market Revenue and Forecast, by Technology Type

14.3.10.2. Market Revenue and Forecast, by Deployment Mode

14.3.10.3. Market Revenue and Forecast, by Application

14.3.10.4. Market Revenue and Forecast, by End-User

14.3.11. Market Revenue and Forecast, by Retail Format

14.3.11.1. Market Revenue and Forecast, by Device Integration

14.3.12. Japan

14.3.12.1. Market Revenue and Forecast, by Technology Type

14.3.12.2. Market Revenue and Forecast, by Deployment Mode

14.3.12.3. Market Revenue and Forecast, by Application

14.3.12.4. Market Revenue and Forecast, by End-User

14.3.12.5. Market Revenue and Forecast, by Retail Format

14.3.12.6. Market Revenue and Forecast, by Device Integration

14.3.13. Rest of APAC

14.3.13.1. Market Revenue and Forecast, by Technology Type

14.3.13.2. Market Revenue and Forecast, by Deployment Mode

14.3.13.3. Market Revenue and Forecast, by Application

14.3.13.4. Market Revenue and Forecast, by End-User

14.3.13.5. Market Revenue and Forecast, by Retail Format

14.3.13.6. Market Revenue and Forecast, by Device Integration

14.4. MEA

14.4.1. Market Revenue and Forecast, by Technology Type

14.4.2. Market Revenue and Forecast, by Deployment Mode

14.4.3. Market Revenue and Forecast, by Application

14.4.4. Market Revenue and Forecast, by End-User

14.4.5. Market Revenue and Forecast, by Retail Format

14.4.6. Market Revenue and Forecast, by Device Integration

14.4.7. GCC

14.4.7.1. Market Revenue and Forecast, by Technology Type

14.4.7.2. Market Revenue and Forecast, by Deployment Mode

14.4.7.3. Market Revenue and Forecast, by Application

14.4.7.4. Market Revenue and Forecast, by End-User

14.4.8. Market Revenue and Forecast, by Retail Format

14.4.9. Market Revenue and Forecast, by Device Integration

14.4.10. North Africa

14.4.10.1. Market Revenue and Forecast, by Technology Type

14.4.10.2. Market Revenue and Forecast, by Deployment Mode

14.4.10.3. Market Revenue and Forecast, by Application

14.4.10.4. Market Revenue and Forecast, by End-User

14.4.11. Market Revenue and Forecast, by Retail Format

14.4.12. Market Revenue and Forecast, by Device Integration

14.4.13. South Africa

14.4.13.1. Market Revenue and Forecast, by Technology Type

14.4.13.2. Market Revenue and Forecast, by Deployment Mode

14.4.13.3. Market Revenue and Forecast, by Application

14.4.13.4. Market Revenue and Forecast, by End-User

14.4.13.5. Market Revenue and Forecast, by Retail Format

14.4.13.6. Market Revenue and Forecast, by Device Integration

14.4.14. Rest of MEA

14.4.14.1. Market Revenue and Forecast, by Technology Type

14.4.14.2. Market Revenue and Forecast, by Deployment Mode

14.4.14.3. Market Revenue and Forecast, by Application

14.4.14.4. Market Revenue and Forecast, by End-User

14.4.14.5. Market Revenue and Forecast, by Retail Format

14.4.14.6. Market Revenue and Forecast, by Device Integration

14.5. Latin America

14.5.1. Market Revenue and Forecast, by Technology Type

14.5.2. Market Revenue and Forecast, by Deployment Mode

14.5.3. Market Revenue and Forecast, by Application

14.5.4. Market Revenue and Forecast, by End-User

14.5.5. Market Revenue and Forecast, by Retail Format

14.5.6. Market Revenue and Forecast, by Device Integration

14.5.7. Brazil

14.5.7.1. Market Revenue and Forecast, by Technology Type

14.5.7.2. Market Revenue and Forecast, by Deployment Mode

14.5.7.3. Market Revenue and Forecast, by Application

14.5.7.4. Market Revenue and Forecast, by End-User

14.5.8. Market Revenue and Forecast, by Retail Format

14.5.8.1. Market Revenue and Forecast, by Device Integration

14.5.9. Rest of LATAM

14.5.9.1. Market Revenue and Forecast, by Technology Type

14.5.9.2. Market Revenue and Forecast, by Deployment Mode

14.5.9.3. Market Revenue and Forecast, by Application

14.5.9.4. Market Revenue and Forecast, by End-User

14.5.9.5. Market Revenue and Forecast, by Retail Format

14.5.9.6. Market Revenue and Forecast, by Device Integration

Chapter 15. Company Profiles

15.1. Google

15.1.1. Company Overview

15.1.2. Product Offerings

15.1.3. Financial Performance

15.1.4. Recent Initiatives

15.2. Apple

15.2.1. Company Overview

15.2.2. Product Offerings

15.2.3. Financial Performance

15.2.4. Recent Initiatives

15.3. ViSenze

15.3.1. Company Overview

15.3.2. Product Offerings

15.3.3. Financial Performance

15.3.4. Recent Initiatives

15.4. Syte AI

15.4.1. Company Overview

15.4.2. Product Offerings

15.4.3. Financial Performance

15.4.4. Recent Initiatives

15.5. TrueFit

15.5.1. Company Overview

15.5.2. Product Offerings

15.5.3. Financial Performance

15.5.4. Recent Initiatives

15.6. Farfetch

15.6.1. Company Overview

15.6.2. Product Offerings

15.6.3. Financial Performance

15.6.4. Recent Initiatives

15.7. Baidu

15.7.1. Company Overview

15.7.2. Product Offerings

15.7.3. Financial Performance

15.7.4. Recent Initiatives

15.8. SAP SE

15.8.1. Company Overview

15.8.2. Product Offerings

15.8.3. Financial Performance

15.8.4. Recent Initiatives

15.9. Salesforce

15.9.1. Company Overview

15.9.2. Product Offerings

15.9.3. Financial Performance

15.9.4. Recent Initiatives

15.10. Shopify

15.10.1. Company Overview

15.10.2. Product Offerings

15.10.3. Financial Performance

15.10.4. Recent Initiatives

Chapter 16. Research Methodology

16.1. Primary Research

16.2. Secondary Research

16.3. Assumptions

Chapter 17. Appendix

17.1. About Us

17.2. Glossary of Terms

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Frequently Asked Questions

The AI shopping assistant market size is expected to increase from USD 3.42 billion in 2024 to USD 37.45 billion by 2034.

The AI shopping assistant market is expected to grow at a compound annual growth rate (CAGR) of around 27.04% from 2025 to 2034.

The major players in the AI shopping assistant market include Amazon, Google, Microsoft, IBM, Apple, Alibaba Group, Baidu, SAP SE, Salesforce, Shopify, Oracle, Walmart Labs, eBay Inc., Pinterest (Shopping Lens), Clarifai, ViSenze, Syte AI, Vue.ai, TrueFit, and Farfetch.

The driving factors of the AI shopping assistant market are the increased penetration of e-commerce platforms, digitalization across leading countries, a shift towards online shopping, and technological advancement in AI tools.

North America region will lead the global AI shopping assistant market during the forecast period 2025 to 2034.