Artificial Intelligence In Retail Market Size, Share, and Trends 2024 to 2034

The global artificial intelligence (AI) in retail market size is calculated at USD 14.03 billion in 2025 and is forecasted to reach around USD 62.64 billion by 2034, accelerating at a CAGR of 18.14% from 2025 to 2034. The North America artificial intelligence (AI) in retail market size surpassed USD 4.73 billion in 2024 and is expanding at a CAGR of 18.16% during the forecast period. The market sizing and forecasts are revenue-based (USD Million/Billion), with 2024 as the base year.

  • Last Updated : January 2025
  • Report Code : 2495
  • Category : ICT

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 Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Artificial Intelligence In Retail Market 

5.1. COVID-19 Landscape: Artificial Intelligence In Retail 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 Artificial Intelligence In Retail Market, By Component

8.1. Artificial Intelligence In Retail Market, by Component

8.1.1. Solution

8.1.1.1. Market Revenue and Forecast

8.1.2. Service

8.1.2.1. Market Revenue and Forecast

Chapter 9. Global Artificial Intelligence In Retail Market, By Technology

9.1. Artificial Intelligence In Retail Market, by Technology

9.1.1. Image and Video Analytics

9.1.1.1. Market Revenue and Forecast

9.1.2. Machine Learning

9.1.2.1. Market Revenue and Forecast

9.1.3. Natural Language Processing

9.1.3.1. Market Revenue and Forecast

9.1.4. Swarm Intelligence

9.1.4.1. Market Revenue and Forecast

9.1.5. Chatbots

9.1.5.1. Market Revenue and Forecast

Chapter 10. Global Artificial Intelligence In Retail Market, By Sales Channel 

10.1. Artificial Intelligence In Retail Market, by Sales Channel

10.1.1. Brick and Motor

10.1.1.1. Market Revenue and Forecast

10.1.2. Omnichannel

10.1.2.1. Market Revenue and Forecast

10.1.3. Pure-play Online Retailers

10.1.3.1. Market Revenue and Forecast

Chapter 11. Global Artificial Intelligence In Retail Market, By Application 

11.1. Artificial Intelligence In Retail Market, by Application

11.1.1. In-Store Navigation

11.1.1.1. Market Revenue and Forecast

11.1.2. Payment and Pricing Analytics

11.1.2.1. Market Revenue and Forecast

11.1.3. Customer Relationship Management (CRM)

11.1.3.1. Market Revenue and Forecast

11.1.4. Supply Chain and Logistics

11.1.4.1. Market Revenue and Forecast

11.1.5. Inventory Management

11.1.5.1. Market Revenue and Forecast

11.1.6. Product Optimization

11.1.6.1. Market Revenue and Forecast

11.1.7. Virtual Assistant

11.1.7.1. Market Revenue and Forecast

11.1.8. Others

11.1.8.1. Market Revenue and Forecast

Chapter 12. Global Artificial Intelligence In Retail Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Component

12.1.2. Market Revenue and Forecast, by Technology

12.1.3. Market Revenue and Forecast, by Sales Channel

12.1.4. Market Revenue and Forecast, by Application

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Component

12.1.5.2. Market Revenue and Forecast, by Technology

12.1.5.3. Market Revenue and Forecast, by Sales Channel

12.1.5.4. Market Revenue and Forecast, by Application

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Component

12.1.6.2. Market Revenue and Forecast, by Technology

12.1.6.3. Market Revenue and Forecast, by Sales Channel

12.1.6.4. Market Revenue and Forecast, by Application

12.2. Europe

12.2.1. Market Revenue and Forecast, by Component

12.2.2. Market Revenue and Forecast, by Technology

12.2.3. Market Revenue and Forecast, by Sales Channel

12.2.4. Market Revenue and Forecast, by Application

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Component

12.2.5.2. Market Revenue and Forecast, by Technology

12.2.5.3. Market Revenue and Forecast, by Sales Channel

12.2.5.4. Market Revenue and Forecast, by Application

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Component

12.2.6.2. Market Revenue and Forecast, by Technology

12.2.6.3. Market Revenue and Forecast, by Sales Channel

12.2.6.4. Market Revenue and Forecast, by Application

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Component

12.2.7.2. Market Revenue and Forecast, by Technology

12.2.7.3. Market Revenue and Forecast, by Sales Channel

12.2.7.4. Market Revenue and Forecast, by Application

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Component

12.2.8.2. Market Revenue and Forecast, by Technology

12.2.8.3. Market Revenue and Forecast, by Sales Channel

12.2.8.4. Market Revenue and Forecast, by Application

12.3. APAC

12.3.1. Market Revenue and Forecast, by Component

12.3.2. Market Revenue and Forecast, by Technology

12.3.3. Market Revenue and Forecast, by Sales Channel

12.3.4. Market Revenue and Forecast, by Application

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Component

12.3.5.2. Market Revenue and Forecast, by Technology

12.3.5.3. Market Revenue and Forecast, by Sales Channel

12.3.5.4. Market Revenue and Forecast, by Application

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Component

12.3.6.2. Market Revenue and Forecast, by Technology

12.3.6.3. Market Revenue and Forecast, by Sales Channel

12.3.6.4. Market Revenue and Forecast, by Application

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Component

12.3.7.2. Market Revenue and Forecast, by Technology

12.3.7.3. Market Revenue and Forecast, by Sales Channel

12.3.7.4. Market Revenue and Forecast, by Application

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Component

12.3.8.2. Market Revenue and Forecast, by Technology

12.3.8.3. Market Revenue and Forecast, by Sales Channel

12.3.8.4. Market Revenue and Forecast, by Application

12.4. MEA

12.4.1. Market Revenue and Forecast, by Component

12.4.2. Market Revenue and Forecast, by Technology

12.4.3. Market Revenue and Forecast, by Sales Channel

12.4.4. Market Revenue and Forecast, by Application

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Component

12.4.5.2. Market Revenue and Forecast, by Technology

12.4.5.3. Market Revenue and Forecast, by Sales Channel

12.4.5.4. Market Revenue and Forecast, by Application

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Component

12.4.6.2. Market Revenue and Forecast, by Technology

12.4.6.3. Market Revenue and Forecast, by Sales Channel

12.4.6.4. Market Revenue and Forecast, by Application

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Component

12.4.7.2. Market Revenue and Forecast, by Technology

12.4.7.3. Market Revenue and Forecast, by Sales Channel

12.4.7.4. Market Revenue and Forecast, by Application

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Component

12.4.8.2. Market Revenue and Forecast, by Technology

12.4.8.3. Market Revenue and Forecast, by Sales Channel

12.4.8.4. Market Revenue and Forecast, by Application

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Component

12.5.2. Market Revenue and Forecast, by Technology

12.5.3. Market Revenue and Forecast, by Sales Channel

12.5.4. Market Revenue and Forecast, by Application

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Component

12.5.5.2. Market Revenue and Forecast, by Technology

12.5.5.3. Market Revenue and Forecast, by Sales Channel

12.5.5.4. Market Revenue and Forecast, by Application

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Component

12.5.6.2. Market Revenue and Forecast, by Technology

12.5.6.3. Market Revenue and Forecast, by Sales Channel

12.5.6.4. Market Revenue and Forecast, by Application

Chapter 13. Company Profiles

13.1. IBM Corporation

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Microsoft 

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. SAP SE

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. Amazon Web Services

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. Oracle

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Salesforce Inc.

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Intel

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. NVIDIA

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Google LLC

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. Sentient Technology

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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Frequently Asked Questions

The global artificial intelligence (AI) inretail market size was estimated at USD 11.83 billion in 2024 and it is expected to reach around USD 62.64 billion by 2034.

The global artificial intelligence (AI) in retail market is poised to grow at a CAGR of 18.14% from 2025 to 2034.

The major players operating in the artificial intelligence (AI) in retail market are IBM Corporation, Microsoft, SAP SE, Amazon Web Services, Oracle, Salesforce Inc., Intel, NVIDIA, Google LLC, Sentient Technology, ViSenze and Others.

The growing demand for better security and monitoring in offline stores, increasing demand for enhanced consumer experience with AI-powered chatbots and increased knowledge of using AI in retail will drive market growth.

North America region will lead the global artificial intelligence (AI) in retail market during the forecast period 2025 to 2034.

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