Healthcare

Artificial Intelligence in Retail Market To Cross USD 45.74 Bn By 2032

The global artificial intelligence in retail market size accounted for US$ 8.41 Bn in 2022 and is projected to reach around USD 45.74 Bn by 2032, growing at a CAGR of 18.45% from 2023 to 2032.

Artificial Intelligence in Retail Market Size 2023 To 2032

Report Summary

The global artificial intelligence in retail market report provides a Point-by-Point and In-Depth analysis of global market size, regional and country-level market size, market share, segmentation market growth, competitive landscape, sales analysis, opportunities analysis, strategic market growth analysis, the impact of domestic and global market key players, value chain optimization, trade regulations, recent developments, product launches, area marketplace expanding, and technological innovations.

The study offers a comprehensive analysis on diverse features, including production capacities, demand, product developments, revenue generation, and sales in the artificial intelligence in retail market across the globe.

A comprehensive estimate on the artificial intelligence in retail market has been provided through an optimistic scenario as well as a conservative scenario, taking into account the sales of artificial intelligence in retail during the forecast period. Price point comparison by region with global average price is also considered in the study.

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Artificial Intelligence in Retail Market  Report Scope

Report Coverage Details
Market Size in 2022 USD 8.41 Billion
Market Size by 2032 USD 45.74 Billion
Growth Rate from 2023 to 2032 CAGR of 18.45%
Base Year 2022
Forecast Period 2023 to 2032
Segments Covered By Component, By Technology, By Sales Channel, By Application
Regions Covered North America, Europe, Asia-Pacific, Latin America, Middle East & Africa

Key Highlights:

Reports Coverage: It incorporates key market sections, key makers secured, the extent of items offered in the years considered, worldwide containerized artificial intelligence in retail market and study goals. Moreover, it contacts the division study gave in the report based on the sort of item and applications.

Market Outline: This area stresses the key investigations, market development rate, serious scene, market drivers, patterns, and issues notwithstanding the naturally visible pointers.

Market Production by Region: The report conveys information identified with import and fare, income, creation, and key players of every single local market contemplated are canvassed right now.

Also Read:  Blockchain in Healthcare Market To Cross USD 14.25 Bn By 2032

Artificial Intelligence in Retail Market Players

The report includes the profiles of key artificial intelligence in retail market companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information, key development in past five years.

Major companies operating in this area

  • 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

Regional Segmentation

  • North America (U.S., Canada, Mexico)
  • Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
  • Asia-Pacific (China, Japan, India, Southeast Asia and Rest of APAC)
  • Latin America (Brazil and Rest of Latin America)
  • Middle East and Africa (GCC, North Africa, South Africa, Rest of MEA)

Research Methodology

Secondary Research

It involves company databases such as Hoover’s: This assists us to recognize financial information, the structure of the market participants and industry’s competitive landscape.

The secondary research sources referred in the process are as follows:

  • Governmental bodies, and organizations creating economic policies
  • National and international social welfare institutions
  • Company websites, financial reports and SEC filings, broker and investor reports
  • Related patent and regulatory databases
  • Statistical databases and market reports
  • Corporate Presentations, news, press release, and specification sheet of Manufacturers

Primary Research

Primary research includes face-to-face interviews, online surveys, and telephonic interviews.

  • Means of primary research: Email interactions, telephonic discussions and Questionnaire-based research etc.
  • In order to validate our research findings and analysis, we conduct primary interviews of key industry participants. Insights from primary respondents help in validating the secondary research findings. It also develops Research Team’s expertise and market understanding.

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

Thanks for reading you can also get individual chapter-wise sections or region-wise report versions such as North America, Europe, or the Asia Pacific.

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