According to the new research report published by Precedence Research, titled “Generative AI in Retail Market (By Application: Supply Chain and Logistics, Sales and Marketing; By End-User: Physical Stores, Online Stores, Supermarkets and Hypermarkets) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032 (By Product: Traditional, Advanced; By Application: Pottery, Tiles, Abrasives, Sanitary wave, Bricks & pipes, Others; By End User: Medical, Industrial, Building & Construction, Others) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032”, The global generative AI in retail market is comprehensively and accurately detailed in the report, taking into consideration various factors such as competition, regional growth, segmentation, and market size by value and volume. The study investigates several elements and their consequences on the growth of the all-wheel drive market.
This report focuses on generative AI in retail market volume and value at the global level, regional level and company level. From a global perspective, this report represents the overall generative AI in retail market size by analysing historical data and future prospects. Regionally, this report focuses on several key regions: North America, Europe, the Middle East & Africa, Latin America, etc.
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 research report includes specific segments by region (country), by company, by all segments. This study provides information about the growth and revenue during the historic and forecasted period of 2017 to 2032. Understanding the segments helps in identifying the importance of different factors that aid the market growth.
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The study also provides important advancements in organic and inorganic growth strategies in the worldwide generative AI in retail market. A lot of corporations are prioritizing new launches, product approvals, and other business expansion techniques. In addition, the report offers profiles of generative AI in retail market firms and market strategies. Furthermore, the research focuses on top industry participants, providing information such as company profiles, components and services offered, recent financial data, and key developments.
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 |
Also read: Warehouse Automation Market Size to Worth US$ 71.03 Billion By 2032
Major Key Points Covered in Report:
Executive Summary: It includes key trends of the electric vehicle fuel cell market related to products, applications, and other crucial factors. It also provides analysis of the competitive landscape and CAGR and market size of the electric vehicle fuel cell market based on production and revenue.
Production and Consumption by Region: It covers all regional markets to which the research study relates. Prices and key players in addition to production and consumption in each regional market are discussed.
Key Players: Here, the report throws light on financial ratios, pricing structure, production cost, gross profit, sales volume, revenue, and gross margin of leading and prominent companies competing in the Electric vehicle fuel cell market.
Market Segments: This part of the report discusses product, application and other segments of the electric vehicle fuel cell market based on market share, CAGR, market size, and various other factors.
Research Methodology: This section discusses the research methodology and approach used to prepare the report. It covers data triangulation, market breakdown, market size estimation, and research design and/or programs.
Market Key Players
Company profiles have been included in the report, which include essentials such as product portfolio, key strategies, along with all-inclusive SWOT analysis on each player. Company presence is mapped and presented through a matrix for all the prominent players, thus providing readers with actionable insights, which helps in thoughtfully presenting market status and predicting the competition level in the generative AI in retail market.
Some of the prominent players in the generative AI in retail market include
- 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
Report Objectives
- To define, segment, and project the global market size for generative AI in retail market
- To understand the structure of the market by identifying its various sub-segments
- To provide detailed information about the key factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
- To analyse the micro-markets, with respect to individual growth trends, future prospects, and their contributions to the total market
- To project the size of the market and its submarkets, in terms of value, with respect to global. (along with their respective key countries)
- To profile key players and comprehensively analyse their core competencies
- To understand the competitive landscape and identify major growth strategies adopted by players across the globe.
- To analyse the competitive developments such as expansions & investments, new product launches, mergers & acquisitions, joint ventures, and agreements
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
Why should you invest in this report?
If you are aiming to enter the global generative AI in retail market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for generative AI in retail are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2023-2030 so that you can plan your strategies to enter this market accordingly.
Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.
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