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Artificial Intelligence in Retail Market Size, Growth, Demands Outlook and Forecasts to 2032

Precedence Research - December 20, 2022

 According to the research report, the global artificialintelligence in retail market size is expected to touch USD 45.74 Billion by 2032, from USD 8.41 Billion in 2022, growing with a significant CAGR of 18.45% from 2022 to 2032. 


Artificial Intelligence in Retail Market Size 2023 To 2032

The artificial intelligence in retail market report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global artificial intelligence in retail market in conjunction with the geographical landscape of this vertical have also been included in this report.

The report offers intricate dynamics about different aspects of the global artificial intelligence in retail market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global artificial intelligence in retail market during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).

Sample Link @ https://www.precedenceresearch.com/sample/2495

 Report Scope of the Artificial Intelligence (AI) in Retail Market

Report CoverageDetails
Market Size in 2022USD 8.41 Billion
Market Size by 2032USD 45.74 Billion
Growth Rate from 2023 to 2032CAGR of 18.45%
Base Year2022
Forecast Period2023 to 2032
Segments CoveredBy Component, By Technology, By Sales Channel, By Application
Regions CoveredNorth America, Europe, Asia-Pacific, Latin America, Middle East & Africa

This study covers a detailed segmentation of the global artificial intelligence in retail market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global artificial intelligence in retail market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.

Key Players

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

Market Segmentation

 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)

Research Methodology

The research methodology adopted by analysts for compiling the global artificial intelligence in retail market report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.

During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.

For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global artificial intelligence in retail market.

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

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