June 10, 2024
ICT

Generative AI in Retail Market Size, Share, Forecast 2032

The global generative AI in retail market from 2023 to 2032, provides a comprehensive overview of the industry,  market segmentation based on a variety of criteria, and the current vendor landscape.

Generative AI in Retail Market Size 2023 To 2032

Key Takeaways:

  • North America dominated the market with the largest market size in 2022.
  • Asia Pacific holds a significant market share in the generative AI retail market in 2022.
  • By application, supply chain and logistics segments dominate the market with the highest market share in 2022.
  • The sales and marketing segment is expected to increase its market share from 2023 to 2032.
  • By end users, the online store’s segment dominated the generative AI retail market by the largest market size in 2022, the segment will continue to grow at a significant rate from 2023 to 2032.

Precedence Research has conducted a comprehensive market study that provides valuable insights into the performance of the market during the forecast period. The study identifies significant trends that are shaping the growth of the Generative AI in retail market. In this recently published report, essential dynamics such as drivers, restraints, and opportunities are highlighted for both established market players and emerging participants involved in production and supply.

To begin with, the Generative AI in retail Market report features an executive summary that offers a concise overview of the marketplace. It outlines the key players and industry categories expected to have an impact on the market in the coming years. The executive summary provides an unbiased summary of the market.

Get a Sample Reporthttps://www.precedenceresearch.com/sample/3097

Generative AI in Retail Market  Report Scope 

Report Coverage Details
Largest Market North America
Fastest Growing Market Asia Pacific
Base Year 2022
Forecast Period 2023 to 2032
Segments Covered By Application and By End-User
Regions Covered North America, Europe, Asia-Pacific, Latin

Read More: Warehouse Automation Market Size To Gain USD 71.03 Billion by 2032

The empirical study on the global Generative AI in retail market primarily focuses on the drivers in subsequent sections. It demonstrates how changing demographics are projected to influence the supply and demand dynamics in the Generative AI in retail Market. Our market report for the Generative AI in retail market also delves into the significant rules and regulations that are likely to impact the future growth of this sector. Moreover, in order to comprehend the underlying demand factors, industry experts have provided insights into its fundamental origins.

Top Key Players:

  • International Business Machines
  • S.A.E.
  • Adobe
  • Microsoft
  • Amazon Web Services (AWS)
  • Google
  • Intel Corporation
  • Oracle

Data Sources and Methodology

To gather comprehensive insights on the Global Generative AI in retail Market, we relied on a range of data sources and followed a well-defined methodology. Our approach involved interactions with industry experts and key stakeholders across the market’s value chain, including management organizations, processing organizations, and analytics service providers.

We followed a rigorous data analysis process to ensure the quality and credibility of our research. The gathered information was carefully evaluated, and relevant quantitative data was subjected to statistical analysis. By employing robust analytical techniques, we were able to derive meaningful insights and present a comprehensive overview of the Global Generative AI in retail Market.

The most resonating, simple, genuine, and important causes because of which you must decide to buy the Generative AI in retail market report exclusively from precedence research

  • The research report has been meticulously crafted to provide comprehensive knowledge on essential marketing strategies and a holistic understanding of crucial marketing plans spanning the forecasted period from 2023 to 2032.

Key Features of the Report:

  • Comprehensive Coverage: The report extensively encompasses a detailed explanation of highly effective analytical marketing methods applicable to companies across all industry sectors.
  • Decision-Making Enhancement: It outlines a concise overview of the decision-making process while highlighting key techniques to enhance it, ensuring favorable business outcomes in the future.
  • Articulated R&D Approach: The report presents a well-defined approach to conducting research and development (R&D) activities, enabling accurate data acquisition on current and future marketing conditions.

Generative AI in Retail Market Segmentation:

By Application

  • Supply Chain and Logistics
  • Sales and Marketing

By End-User

  • Physical Stores
  • Online Stores
  • Supermarkets and Hypermarkets

By Geography

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East and Africa

Reasons to Consider Purchasing the Report:

  • Enhance your market research capabilities by accessing this comprehensive and precise report on the global Generative AI in retail market.
  • Gain a thorough understanding of the overall market landscape and be prepared to overcome challenges while ensuring robust growth.
  • Benefit from in-depth research and analysis of the latest trends shaping the global Generative AI in retail market.
  • Obtain detailed insights into evolving market trends, current and future technologies, and strategic approaches employed by key players in the global Generative AI in retail market.
  • Receive valuable recommendations and guidance for both new entrants and established players seeking further market expansion.
  • Discover not only the cutting-edge technological advancements in the global Generative AI in retail market but also the strategic plans of industry leaders.

Table of Content

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

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 Generative AI in Retail Market 

5.1. COVID-19 Landscape: Generative AI 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 Generative AI in Retail Market, By Application

8.1. Generative AI in Retail Market, by Application, 2023-2032

8.1.1. Supply Chain and Logistics

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. Sales and Marketing

8.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global Generative AI in Retail Market, By End-User

9.1. Generative AI in Retail Market, by End-User, 2023-2032

9.1.1. Physical Stores

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. Online Stores

9.1.2.1. Market Revenue and Forecast (2020-2032)

9.1.3. Supermarkets and Hypermarkets

9.1.3.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global Generative AI in Retail Market, By March 

10.1. Generative AI in Retail Market, by March, 2023-2032

10.1.1. Semiconductor

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. Cheese

10.1.2.1. Market Revenue and Forecast (2020-2032)

10.1.3. Dessert

10.1.3.1. Market Revenue and Forecast (2020-2032)

10.1.4. Snacks

10.1.4.1. Market Revenue and Forecast (2020-2032)

10.1.5. Others

10.1.5.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global Generative AI in Retail Market, By April

11.1. Generative AI in Retail Market, by April, 2023-2032

11.1.1. Introduction

11.1.1.1. Market Revenue and Forecast (2020-2032)

11.1.2. Memory

11.1.2.1. Market Revenue and Forecast (2020-2032)

11.1.3. Foundry

11.1.3.1. Market Revenue and Forecast (2020-2032)

11.1.4. Analog, MEMS and Others

11.1.4.1. Market Revenue and Forecast (2020-2032)

11.1.5. Others

11.1.5.1. Market Revenue and Forecast (2020-2032)

Chapter 12. Global Generative AI in Retail Market, By May

12.1. Generative AI in Retail Market, by May, 2023-2032

12.1.1. Introduction

12.1.1.1. Market Revenue and Forecast (2020-2032)

12.1.2. IDM

12.1.2.1. Market Revenue and Forecast (2020-2032)

12.1.3. Foundries

12.1.3.1. Market Revenue and Forecast (2020-2032)

12.1.4. OSAT

12.1.4.1. Market Revenue and Forecast (2020-2032)

12.1.5. Others

12.1.5.1. Market Revenue and Forecast (2020-2032)

Chapter 13. Global Generative AI in Retail Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Application (2020-2032)

13.1.2. Market Revenue and Forecast, by End-User (2020-2032)

13.1.3. Market Revenue and Forecast, by March (2020-2032)

13.1.4. Market Revenue and Forecast, by April (2020-2032)

13.1.5. Market Revenue and Forecast, by May (2020-2032)

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Application (2020-2032)

13.1.6.2. Market Revenue and Forecast, by End-User (2020-2032)

13.1.6.3. Market Revenue and Forecast, by March (2020-2032)

13.1.6.4. Market Revenue and Forecast, by April (2020-2032)

13.1.6.5. Market Revenue and Forecast, by May (2020-2032)

13.1.7. Rest of North America

13.1.7.1. Market Revenue and Forecast, by Application (2020-2032)

13.1.7.2. Market Revenue and Forecast, by End-User (2020-2032)

13.1.7.3. Market Revenue and Forecast, by March (2020-2032)

13.1.7.4. Market Revenue and Forecast, by April (2020-2032)

13.1.7.5. Market Revenue and Forecast, by May (2020-2032)

13.2. Europe

13.2.1. Market Revenue and Forecast, by Application (2020-2032)

13.2.2. Market Revenue and Forecast, by End-User (2020-2032)

13.2.3. Market Revenue and Forecast, by March (2020-2032)

13.2.4. Market Revenue and Forecast, by April (2020-2032)

13.2.5. Market Revenue and Forecast, by May (2020-2032)

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Application (2020-2032)

13.2.6.2. Market Revenue and Forecast, by End-User (2020-2032)

13.2.6.3. Market Revenue and Forecast, by March (2020-2032)

13.2.7. Market Revenue and Forecast, by April (2020-2032)

13.2.8. Market Revenue and Forecast, by May (2020-2032)

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Application (2020-2032)

13.2.9.2. Market Revenue and Forecast, by End-User (2020-2032)

13.2.9.3. Market Revenue and Forecast, by March (2020-2032)

13.2.10. Market Revenue and Forecast, by April (2020-2032)

13.2.11. Market Revenue and Forecast, by May (2020-2032)

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Application (2020-2032)

13.2.12.2. Market Revenue and Forecast, by End-User (2020-2032)

13.2.12.3. Market Revenue and Forecast, by March (2020-2032)

13.2.12.4. Market Revenue and Forecast, by April (2020-2032)

13.2.13. Market Revenue and Forecast, by May (2020-2032)

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Application (2020-2032)

13.2.14.2. Market Revenue and Forecast, by End-User (2020-2032)

13.2.14.3. Market Revenue and Forecast, by March (2020-2032)

13.2.14.4. Market Revenue and Forecast, by April (2020-2032)

13.2.15. Market Revenue and Forecast, by May (2020-2032)

13.3. APAC

13.3.1. Market Revenue and Forecast, by Application (2020-2032)

13.3.2. Market Revenue and Forecast, by End-User (2020-2032)

13.3.3. Market Revenue and Forecast, by March (2020-2032)

13.3.4. Market Revenue and Forecast, by April (2020-2032)

13.3.5. Market Revenue and Forecast, by May (2020-2032)

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Application (2020-2032)

13.3.6.2. Market Revenue and Forecast, by End-User (2020-2032)

13.3.6.3. Market Revenue and Forecast, by March (2020-2032)

13.3.6.4. Market Revenue and Forecast, by April (2020-2032)

13.3.7. Market Revenue and Forecast, by May (2020-2032)

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Application (2020-2032)

13.3.8.2. Market Revenue and Forecast, by End-User (2020-2032)

13.3.8.3. Market Revenue and Forecast, by March (2020-2032)

13.3.8.4. Market Revenue and Forecast, by April (2020-2032)

13.3.9. Market Revenue and Forecast, by May (2020-2032)

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Application (2020-2032)

13.3.10.2. Market Revenue and Forecast, by End-User (2020-2032)

13.3.10.3. Market Revenue and Forecast, by March (2020-2032)

13.3.10.4. Market Revenue and Forecast, by April (2020-2032)

13.3.10.5. Market Revenue and Forecast, by May (2020-2032)

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Application (2020-2032)

13.3.11.2. Market Revenue and Forecast, by End-User (2020-2032)

13.3.11.3. Market Revenue and Forecast, by March (2020-2032)

13.3.11.4. Market Revenue and Forecast, by April (2020-2032)

13.3.11.5. Market Revenue and Forecast, by May (2020-2032)

13.4. MEA

13.4.1. Market Revenue and Forecast, by Application (2020-2032)

13.4.2. Market Revenue and Forecast, by End-User (2020-2032)

13.4.3. Market Revenue and Forecast, by March (2020-2032)

13.4.4. Market Revenue and Forecast, by April (2020-2032)

13.4.5. Market Revenue and Forecast, by May (2020-2032)

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Application (2020-2032)

13.4.6.2. Market Revenue and Forecast, by End-User (2020-2032)

13.4.6.3. Market Revenue and Forecast, by March (2020-2032)

13.4.6.4. Market Revenue and Forecast, by April (2020-2032)

13.4.7. Market Revenue and Forecast, by May (2020-2032)

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Application (2020-2032)

13.4.8.2. Market Revenue and Forecast, by End-User (2020-2032)

13.4.8.3. Market Revenue and Forecast, by March (2020-2032)

13.4.8.4. Market Revenue and Forecast, by April (2020-2032)

13.4.9. Market Revenue and Forecast, by May (2020-2032)

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Application (2020-2032)

13.4.10.2. Market Revenue and Forecast, by End-User (2020-2032)

13.4.10.3. Market Revenue and Forecast, by March (2020-2032)

13.4.10.4. Market Revenue and Forecast, by April (2020-2032)

13.4.10.5. Market Revenue and Forecast, by May (2020-2032)

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Application (2020-2032)

13.4.11.2. Market Revenue and Forecast, by End-User (2020-2032)

13.4.11.3. Market Revenue and Forecast, by March (2020-2032)

13.4.11.4. Market Revenue and Forecast, by April (2020-2032)

13.4.11.5. Market Revenue and Forecast, by May (2020-2032)

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Application (2020-2032)

13.5.2. Market Revenue and Forecast, by End-User (2020-2032)

13.5.3. Market Revenue and Forecast, by March (2020-2032)

13.5.4. Market Revenue and Forecast, by April (2020-2032)

13.5.5. Market Revenue and Forecast, by May (2020-2032)

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Application (2020-2032)

13.5.6.2. Market Revenue and Forecast, by End-User (2020-2032)

13.5.6.3. Market Revenue and Forecast, by March (2020-2032)

13.5.6.4. Market Revenue and Forecast, by April (2020-2032)

13.5.7. Market Revenue and Forecast, by May (2020-2032)

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Application (2020-2032)

13.5.8.2. Market Revenue and Forecast, by End-User (2020-2032)

13.5.8.3. Market Revenue and Forecast, by March (2020-2032)

13.5.8.4. Market Revenue and Forecast, by April (2020-2032)

13.5.8.5. Market Revenue and Forecast, by May (2020-2032)

Chapter 14. Company Profiles

14.1. International Business Machines

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. S.A.E.

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. Adobe

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. Microsoft

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. Amazon Web Services (AWS)

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. Google

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. Intel Corporation

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. Oracle

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

Chapter 15. Research Methodology

15.1. Primary Research

15.2. Secondary Research

15.3. Assumptions

Chapter 16. Appendix

16.1. About Us

16.2. Glossary of Terms

About Us:

Our team comprises a dedicated group of research analysts and management consultants who are driven by a unified vision: assisting individuals and organizations in realizing their strategic objectives, both immediate and long-term, through the provision of comprehensive research services. At Precedence Research, we have positioned ourselves to cater to the needs of a diverse range of entities, including established companies, startups, and non-profit organizations across various sectors. Our expertise extends to industries such as packaging, automotive, healthcare, chemicals and materials, industrial automation, consumer products, electronics and semiconductors, IT and telecommunications, and energy. With a wealth of experience within our ranks, our skilled analysts are equipped with extensive knowledge of the research landscape.

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