The global generative AI in retail market report provides a detailed analysis of the market dynamic. The report sheds light on the current situation of the market size, share, demand and forecast 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.
Report Summary
The global generative AI 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 generative AI in retail market across the globe.
A comprehensive estimate on the generative AI in retail market has been provided through an optimistic scenario as well as a conservative scenario, taking into account the sales of generative AI 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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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 |
Key Highlights:
Reports Coverage: It incorporates key market sections, key makers secured, the extent of items offered in the years considered, worldwide containerized generative AI 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: Warehouse Automation Market Size Analysis 2023 To 2032
Generative AI in Retail Market Players
The report includes the profiles of key generative AI 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
- International Business Machines
- S.A.E.
- Adobe
- Microsoft
- Amazon Web Services (AWS)
- Intel Corporation
- Oracle
Market Segmentation
By Application
- Supply Chain and Logistics
- Sales and Marketing
By End-User
- Physical Stores
- Online Stores
- Supermarkets and Hypermarkets
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 (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
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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