Artificial Intelligence in Retail Market Size to Grow US$ 45.74 Billion By 2032

The global artificial intelligence in retail market size was approximate at US$ 8.41 billion in 2022 and is anticipated to grow US$ 45.74 billion by 2032, registering a compound annual growth rate of 18.45% from 2022 to 2032.

The artificial intelligence in retail market report covering various industry elements and growth trends helpful for predicting the market’s future.

The study provides a strong base for the artificial intelligence in retail market to be segmented into different segments. In fact, the study also covers the maximum market share during the assessment period by 2032.

This study is based on the partners that are highly competitive, key players as well as their market revenue in the forecast years of 2022 to 2032. There is also a strong focus on product revenues, sales, product categories and even the products that are experiencing the most traction. In this manner, the artificial intelligence in retail report also speaks about the effectiveness of this market along with its growth during the forecast period of 2030. Other major attributes of the artificial intelligence in retail market have been studied and analysed across many developments.

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Artificial Intelligence in Retail Market Report Scope

Also read: Blockchain in Healthcare Market Size to Grow US$ 14.25 Billion By 2032

Research Approach

The comprehensive report on the global artificial intelligence in retail market begins with an overview, followed by the scope and objectives of the study. The report provides detailed explanation of the objectives behind this study and key vendors and distributors operating in the market and regulatory scenario for approval of products. Following this, the report provides detailed explanation of objectives of this study and laid down by accredited agencies in the purview of research in the global artificial intelligence in retail market.

It is followed by market introduction, market dynamics, and an overview of the global market, which includes analysis of market drivers, restraints, and trends pertaining to the global market. Furthermore, Y-o-Y growth analysis with elaborated insights has been provided in order to understand the Y-o-Y growth trend of the global market.

For reading comprehensibility, the report has been compiled in a chapter-wise layout, with each section divided into smaller sections. The report comprises an exhaustive collection of graphs and tables that are appropriately interspersed. Pictorial representation of actual and projected values of key segments is visually appealing to readers. This also allows comparison of the market shares of key segments in the past and at the end of the forecast period.

Key Players

• IBM Corporation
• Microsoft
• SAP SE
• Amazon Web Services
• Oracle
• Salesforce Inc.
• Intel
• NVIDIA
• Google LLC
• Sentient Technology
• ViSenze

Artificial Intelligence in Retail Market Segmentations

By Component 

• Solution
• Service

By Technology 

• Image and Video Analytics
• Machine Learning
• Natural Language Processing
• Swarm Intelligence
• Chatbots

By Sales Channel 

• Brick and Motor
• Omnichannel
• Pure-play Online Retailers

By Application 

• In-Store Navigation
• Payment and Pricing Analytics
• Customer Relationship Management (CRM)
• Supply Chain and Logistics
• Inventory Management
• Product Optimization
• Virtual Assistant
• Others

By Geography

• North America
• Europe
• Asia-Pacific
• Latin America
• Middle East & Africa (MEA)

TABLE OF CONTENT

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

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 Artificial Intelligence In Retail Market, By Component

8.1. Artificial Intelligence In Retail Market, by Component, 2022-2032

8.1.1. Solution

8.1.1.1. Market Revenue and Forecast (2022-2032)

8.1.2. Service

8.1.2.1. Market Revenue and Forecast (2022-2032)

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

9.1. Artificial Intelligence In Retail Market, by Technology, 2022-2032

9.1.1. Image and Video Analytics

9.1.1.1. Market Revenue and Forecast (2022-2032)

9.1.2. Machine Learning

9.1.2.1. Market Revenue and Forecast (2022-2032)

9.1.3. Natural Language Processing

9.1.3.1. Market Revenue and Forecast (2022-2032)

9.1.4. Swarm Intelligence

9.1.4.1. Market Revenue and Forecast (2022-2032)

9.1.5. Chatbots

9.1.5.1. Market Revenue and Forecast (2022-2032)

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

10.1. Artificial Intelligence In Retail Market, by Sales Channel, 2022-2032

10.1.1. Brick and Motor

10.1.1.1. Market Revenue and Forecast (2022-2032)

10.1.2. Omnichannel

10.1.2.1. Market Revenue and Forecast (2022-2032)

10.1.3. Pure-play Online Retailers

10.1.3.1. Market Revenue and Forecast (2022-2032)

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

11.1. Artificial Intelligence In Retail Market, by Application, 2022-2032

11.1.1. In-Store Navigation

11.1.1.1. Market Revenue and Forecast (2022-2032)

11.1.2. Payment and Pricing Analytics

11.1.2.1. Market Revenue and Forecast (2022-2032)

11.1.3. Customer Relationship Management (CRM)

11.1.3.1. Market Revenue and Forecast (2022-2032)

11.1.4. Supply Chain and Logistics

11.1.4.1. Market Revenue and Forecast (2022-2032)

11.1.5. Inventory Management

11.1.5.1. Market Revenue and Forecast (2022-2032)

11.1.6. Product Optimization

11.1.6.1. Market Revenue and Forecast (2022-2032)

11.1.7. Virtual Assistant

11.1.7.1. Market Revenue and Forecast (2022-2032)

11.1.8. Others

11.1.8.1. Market Revenue and Forecast (2022-2032)

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 (2022-2032)

12.1.2. Market Revenue and Forecast, by Technology (2022-2032)

12.1.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.1.4. Market Revenue and Forecast, by Application (2022-2032)

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Component (2022-2032)

12.1.5.2. Market Revenue and Forecast, by Technology (2022-2032)

12.1.5.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.1.5.4. Market Revenue and Forecast, by Application (2022-2032)

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Component (2022-2032)

12.1.6.2. Market Revenue and Forecast, by Technology (2022-2032)

12.1.6.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.1.6.4. Market Revenue and Forecast, by Application (2022-2032)

12.2. Europe

12.2.1. Market Revenue and Forecast, by Component (2022-2032)

12.2.2. Market Revenue and Forecast, by Technology (2022-2032)

12.2.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.2.4. Market Revenue and Forecast, by Application (2022-2032)

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Component (2022-2032)

12.2.5.2. Market Revenue and Forecast, by Technology (2022-2032)

12.2.5.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.2.5.4. Market Revenue and Forecast, by Application (2022-2032)

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Component (2022-2032)

12.2.6.2. Market Revenue and Forecast, by Technology (2022-2032)

12.2.6.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.2.6.4. Market Revenue and Forecast, by Application (2022-2032)

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Component (2022-2032)

12.2.7.2. Market Revenue and Forecast, by Technology (2022-2032)

12.2.7.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.2.7.4. Market Revenue and Forecast, by Application (2022-2032)

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Component (2022-2032)

12.2.8.2. Market Revenue and Forecast, by Technology (2022-2032)

12.2.8.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.2.8.4. Market Revenue and Forecast, by Application (2022-2032)

12.3. APAC

12.3.1. Market Revenue and Forecast, by Component (2022-2032)

12.3.2. Market Revenue and Forecast, by Technology (2022-2032)

12.3.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.3.4. Market Revenue and Forecast, by Application (2022-2032)

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Component (2022-2032)

12.3.5.2. Market Revenue and Forecast, by Technology (2022-2032)

12.3.5.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.3.5.4. Market Revenue and Forecast, by Application (2022-2032)

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Component (2022-2032)

12.3.6.2. Market Revenue and Forecast, by Technology (2022-2032)

12.3.6.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.3.6.4. Market Revenue and Forecast, by Application (2022-2032)

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Component (2022-2032)

12.3.7.2. Market Revenue and Forecast, by Technology (2022-2032)

12.3.7.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.3.7.4. Market Revenue and Forecast, by Application (2022-2032)

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Component (2022-2032)

12.3.8.2. Market Revenue and Forecast, by Technology (2022-2032)

12.3.8.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.3.8.4. Market Revenue and Forecast, by Application (2022-2032)

12.4. MEA

12.4.1. Market Revenue and Forecast, by Component (2022-2032)

12.4.2. Market Revenue and Forecast, by Technology (2022-2032)

12.4.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.4.4. Market Revenue and Forecast, by Application (2022-2032)

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Component (2022-2032)

12.4.5.2. Market Revenue and Forecast, by Technology (2022-2032)

12.4.5.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.4.5.4. Market Revenue and Forecast, by Application (2022-2032)

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Component (2022-2032)

12.4.6.2. Market Revenue and Forecast, by Technology (2022-2032)

12.4.6.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.4.6.4. Market Revenue and Forecast, by Application (2022-2032)

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Component (2022-2032)

12.4.7.2. Market Revenue and Forecast, by Technology (2022-2032)

12.4.7.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.4.7.4. Market Revenue and Forecast, by Application (2022-2032)

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Component (2022-2032)

12.4.8.2. Market Revenue and Forecast, by Technology (2022-2032)

12.4.8.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.4.8.4. Market Revenue and Forecast, by Application (2022-2032)

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Component (2022-2032)

12.5.2. Market Revenue and Forecast, by Technology (2022-2032)

12.5.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.5.4. Market Revenue and Forecast, by Application (2022-2032)

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Component (2022-2032)

12.5.5.2. Market Revenue and Forecast, by Technology (2022-2032)

12.5.5.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.5.5.4. Market Revenue and Forecast, by Application (2022-2032)

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Component (2022-2032)

12.5.6.2. Market Revenue and Forecast, by Technology (2022-2032)

12.5.6.3. Market Revenue and Forecast, by Sales Channel (2022-2032)

12.5.6.4. Market Revenue and Forecast, by Application (2022-2032)

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

Why should you invest in this report?

If you are aiming to enter the global artificial intelligence in retail market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for artificial intelligence in retail are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030 so that you can plan your strategies to enter this market accordingly.

Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.

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