by The global generative AI in retail market is surging, with an overall revenue growth expectation of hundreds of millions of dollars during the forecast period from 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.
The market research report on the Generative AI in retail market provides a comprehensive analysis of various key aspects. It includes the definition, classification, and application of Generative AI in retail products. The report examines the development trends, competitive landscape, and industrial chain structure within the industry. Furthermore, it presents an overview of the industry, analyzes national policies and planning, and offers insights into the latest market dynamics and opportunities at a global level.
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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 America and Middle East & Africa |
Read More: Warehouse Automation Market Size to Garner USD 71.03 Billion by 2032
The report presents the volume and value-based market size for the base year 2022 and forecasts the market’s growth between 2023 and 2032. It estimates market numbers based on product form and application, providing size and forecast for each application segment in both global and regional markets.
Focusing on the global Generative AI in retail market, the report highlights its status, future forecasts, growth opportunities, key market players, and key market regions such as the United States, Europe, and China. The study aims to present the development of the Generative AI in retail market by considering factors like Year-on-Year (Y-o-Y) growth, in addition to Compound Annual Growth Rate (CAGR). This approach enables a better understanding of market certainty and the identification of lucrative opportunities.
Regarding production, the report investigates the capacity, production, value, ex-factory price, growth rate, and market share of major manufacturers, regions, and product types. On the consumption side, the report focuses on the regional consumption of Generative AI in retail products across different countries and applications.
Buyers of the report gain access to verified market figures, including global market size in terms of revenue and volume. The report provides reliable estimations and calculations for global revenue and volume by product type from 2023 to 2032. It also includes accurate figures for production capacity and production by region during the same period.
The research includes product parameters, production processes, cost structures, and data classified by region, technology, and application. Furthermore, it conducts SWOT analysis and investment feasibility studies for new projects.
This in-depth research report offers valuable insights into the Generative AI in retail market. It employs an objective and fair approach to analyze industry trends, supporting customer competition analysis, development planning, and investment decision-making. The project received support and assistance from technicians and marketing personnel across various links in the industry chain.
The competitive landscape section of the report provides detailed information on Generative AI in retail market competitors. It includes company overviews, financials, revenue generation, market potential, research and development investments, new market initiatives, global presence, production sites, production capacities, strengths and weaknesses, product launches, product range, and application dominance. However, the data points provided only focus on the companies’ activities related to the Generative AI in retail market.
Prominent players in the market are expected to face tough competition from new entrants. Key players are targeting acquisitions of startup companies to maintain their dominance. The report
Reasons to Purchase this Report:
- Comprehensive market segmentation analysis incorporating qualitative and quantitative research, considering the impact of economic and policy factors.
- In-depth regional and country-level analysis, examining the demand and supply dynamics that influence market growth.
- Market size in USD million and volume in million units provided for each segment and sub-segment.
- Detailed competitive landscape, including market share of major players, recent projects, and strategies implemented over the past five years.
- Comprehensive company profiles encompassing product offerings, key financial information, recent developments, SWOT analysis, and employed strategies by major market players.
Key Players
- International Business Machines
- S.A.E.
- Adobe
- Microsoft
- Amazon Web Services (AWS)
- Intel Corporation
- Oracle
Generative AI in Retail Market Segmentations
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
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
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