The generative AI in retail market provides a deep study of market segments including type, end-use, and region. The report tracks the latest market trends and analyses their overall impact on the market. It also evaluates the market dynamics, which cover the key demand and price indicators, and studies the market on the basis of the SWOT and Porter's Five Forces models.
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 generative AI in retail 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 generative AI in retail 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 generative AI 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 generative AI in retail 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).
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This study covers a detailed segmentation of the global generative AI in retail market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global generative AI in retail market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.
Key Players
- 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
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East and Africa
Research Methodology
The research methodology adopted by analysts for compiling the global generative AI in retail 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 generative AI 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 (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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