Generative AI In Retail Global Market Report 2025

Description

Generative artificial intelligence (AI) in retail involves the use of advanced AI models that can generate new content, such as tailored marketing materials, product designs, and customer interaction scripts, by analyzing patterns from existing data. This technology is employed to enhance customer experiences with personalized recommendations, streamline content creation for marketing, optimize inventory management, and develop innovative product designs and strategies.

The key technologies driving generative AI in retail include variational autoencoders, generative adversarial networks, deep reinforcement learning, recurrent neural networks, transformer networks, and more. Variational autoencoders (VAEs) are a specific type of generative model that learns latent data representations through probabilistic encoding and decoding. These technologies are implemented both via the cloud and on-premise for applications such as product design and development, visual merchandising, demand forecasting, personalized marketing, fraud detection, inventory management, supply chain and logistics, among others. They are used across various industries, including fashion and apparel, consumer electronics, home decor, beauty and cosmetics, grocery stores, and online platforms.

The generative AI in retail market research report is one of a series of new reports from The Business Research Company that provides Generative AI in retail market statistics, including the generative AI in retail industry's global market size, regional shares, competitors with a Generative AI in retail market share, detailed Generative AI in retail market segments, market trends and opportunities, and any further data you may need to thrive in the Generative AI in retail industry. This Generative AI in retail market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The generative AI in retail market size has grown exponentially in recent years. It will grow from $0.79 $ billion in 2024 to $1.11 $ billion in 2025 at a compound annual growth rate (CAGR) of 39.8%. The growth in the historic period can be attributed to the increasing availability of big data, the growth of e-commerce, improvements in computational power, the rise of mobile commerce, and a reduction in technology costs.

The generative AI in retail market size is expected to see exponential growth in the next few years. It will grow to $4.2 $ billion in 2029 at a compound annual growth rate (CAGR) of 39.6%. The growth in the forecast period can be attributed to enhancing customer personalization, improving inventory management, dynamic pricing strategies, enhancing fraud detection, and streamlined customer support. Major trends in the forecast period include AI-driven customer service, automated supply chain management, advanced AI algorithms for fraudulent activities and transactions in real time, integration with live streaming platforms, and visual search and augmented reality.

The growth of e-commerce shopping is anticipated to drive the expansion of the Generative AI in the retail market. The convenience, variety, and accessibility of online platforms compared to traditional retail are fueling the increase in e-commerce. Generative AI enhances the e-commerce experience by offering personalized product recommendations and improving customer interactions through dynamic, context-aware content. For example, a report published by the Census Bureau of the Department of Commerce, a U.S. governmental organization, indicated that e-commerce sales reached approximately $1,118.7 billion in 2023. In the first quarter of 2024, total retail sales were estimated at $1,820.0 billion, with e-commerce sales during this period showing an 8.5% increase (+-1.1%) from the same quarter in 2023, while total retail sales grew by 2.8% (+-0.5%). This rise in e-commerce shopping is consequently driving the growth of Generative AI in the retail market.

Leading companies in the Generative AI in retail space are focusing on developing advanced AI-powered tools to enhance customer personalization, optimize inventory management, and improve sales forecasting. These Generative AI-powered tools utilize artificial intelligence algorithms to automate and optimize tasks such as personalized product recommendations, inventory management, and marketing strategies by analyzing data and generating insights, thereby increasing efficiency and decision-making in the retail sector. For instance, in January 2024, Google LLC, a U.S.-based technology company, introduced new Generative AI tools for retailers aimed at enhancing online shopping experiences and streamlining retail operations. These tools include a conversational commerce solution with AI-powered virtual agents for personalized recommendations and natural language interactions, improved search capabilities with advanced LLM for better product search, catalog, and content enrichment to optimize product listings, and Google Distributed Cloud Edge to scale AI applications across multiple locations.

In January 2024, International Business Machines Corporation (IBM), a U.S.-based technology company, partnered with SAP SE to assist clients in the consumer-packaged goods and retail sectors in improving their supply chain, finance operations, sales, and services through Generative AI. This collaboration aims to use AI to tailor product assortments at the store level, considering market dynamics, sales patterns, and anticipated demand. SAP SE, a Germany-based software company, provides Generative AI capabilities specifically for the retail industry.

Major companies operating in the Generative AI in retail market are Google LLC, Microsoft Corporation, Hitachi Ltd., Tencent Holdings Limited, Amazon Web Services (AWS), Intel Corporation, Accenture plc, International Business Machines (IBM), Oracle Corporation, Fujitsu Limited, Nvidia Corporation, NEC Corporation, Capgemini SE, Baidu Inc., Infosys Limited, Adobe Inc., Wipro Limited, SAS Institute Inc., Tableau Software LLC, C3.AI inc., DataRobot Inc., ClarifAI inc., H2O.AI inc.

North America was the largest region in the Generative AI in retail market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the Generative AI in retail market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the Generative AI in retail market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The Generative AI in retail market consists of revenues earned by entities by providing services such as customer service chatbots and virtual assistants, sentiment analysis, and customer feedback processing. The market value includes the value of related goods sold by the service provider or included within the service offering. The Generative AI in retail market also includes sales of edge computing devices, Internet of Things (IoT) sensors, networking equipment, and high-performance servers. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Generative AI In Retail Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on generative ai in retail market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for generative ai in retail ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The generative ai in retail market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:1) By Technology: Variational Autoencoders; Generative Adversarial Networks; Deep Reinforcement Learning; Recurrent Neural Networks; Transformer Networks; Other Technologies
2) By Deployment: Cloud; On-Premise
3) By Application: Product Design And Development; Visual Merchandising; Demand Forecasting; Personalized Marketing; Fraud Detection; Inventory Management; Supply Chain And Logistics; Other Applications
4) By Industry: Fashion And Apparel; Consumer Electronics; Home Decor; Beauty And Cosmetics; Grocery Shops; Online Platforms
Subsegments:
1) By Variational Autoencoders (VAEs): Product Recommendation Systems; Customer Behavior Analysis; Personalized Marketing Campaigns; Image Generation For Products; Inventory Management Solutions
2) By Generative Adversarial Networks (GANs): Synthetic Data Generation; Virtual Try-On Solutions; Image-To-Image Translation For Product Images; Style Transfer For Marketing Content; Fraud Detection In Transactions
3) By Deep Reinforcement Learning: Dynamic Pricing Models; Inventory Optimization; Personalized Customer Experience Systems; Supply Chain Management; Sales Forecasting
4) By Recurrent Neural Networks (RNNs): Time Series Forecasting For Sales; Customer Engagement Prediction; Sentiment Analysis On Customer Feedback; Churn Prediction Models; Recommendation Systems For Repeat Purchases
5) By Transformer Networks: Natural Language Processing For Customer Interactions; Chatbots And Virtual Assistants; Automated Content Generation For Marketing; Customer Sentiment Analysis; Demand Forecasting
6) By Other Technologies: Self-Supervised Learning Techniques; Diffusion Models For Image Generation; Flow-Based Models For Data Generation; Federated Learning For Privacy-Preserving Data Analysis; Hybrid Models Combining Multiple Approaches.
Companies Mentioned: Google LLC; Microsoft Corporation; Hitachi Ltd.; Tencent Holdings Limited; Amazon Web Services (AWS)
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery format: PDF, Word and Excel Data Dashboard.

Product Code: r31893

1. Executive Summary

2. Generative AI In Retail Market Characteristics

3. Generative AI In Retail Market Trends And Strategies

4. Generative AI In Retail Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Generative AI In Retail Growth Analysis And Strategic Analysis Framework

5.1. Global Generative AI In Retail PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
5.2. Analysis Of End Use Industries
5.3. Global Generative AI In Retail Market Growth Rate Analysis
5.4. Global Generative AI In Retail Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
5.5. Global Generative AI In Retail Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
5.6. Global Generative AI In Retail Total Addressable Market (TAM)

6. Generative AI In Retail Market Segmentation

6.1. Global Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Variational Autoencoders
Generative Adversarial Networks
Deep Reinforcement Learning
Recurrent Neural Networks
Transformer Networks
Other Technologies
6.2. Global Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Cloud
On-Premise
6.3. Global Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Product Design And Development
Visual Merchandising
Demand Forecasting
Personalized Marketing
Fraud Detection
Inventory Management
Supply Chain And Logistics
Other Applications
6.4. Global Generative AI In Retail Market, Segmentation By Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Fashion And Apparel
Consumer Electronics
Home Decor
Beauty And Cosmetics
Grocery Shops
Online Platforms
6.5. Global Generative AI In Retail Market, Sub-Segmentation Of Variational Autoencoders (VAEs), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Product Recommendation Systems
Customer Behavior Analysis
Personalized Marketing Campaigns
Image Generation For Products
Inventory Management Solutions
6.6. Global Generative AI In Retail Market, Sub-Segmentation Of Generative Adversarial Networks (GANs), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Synthetic Data Generation
Virtual Try-On Solutions
Image-To-Image Translation For Product Images
Style Transfer For Marketing Content
Fraud Detection In Transactions
6.7. Global Generative AI In Retail Market, Sub-Segmentation Of Deep Reinforcement Learning, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Dynamic Pricing Models
Inventory Optimization
Personalized Customer Experience Systems
Supply Chain Management
Sales Forecasting
6.8. Global Generative AI In Retail Market, Sub-Segmentation Of Recurrent Neural Networks (RNNs), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Time Series Forecasting For Sales
Customer Engagement Prediction
Sentiment Analysis On Customer Feedback
Churn Prediction Models
Recommendation Systems For Repeat Purchases
6.9. Global Generative AI In Retail Market, Sub-Segmentation Of Transformer Networks, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Natural Language Processing For Customer Interactions
Chatbots And Virtual Assistants
Automated Content Generation For Marketing
Customer Sentiment Analysis
Demand Forecasting
6.10. Global Generative AI In Retail Market, Sub-Segmentation Of Other Technologies, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Self-Supervised Learning Techniques
Diffusion Models For Image Generation
Flow-Based Models For Data Generation
Federated Learning For Privacy-Preserving Data Analysis
Hybrid Models Combining Multiple Approaches

7. Generative AI In Retail Market Regional And Country Analysis

7.1. Global Generative AI In Retail Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
7.2. Global Generative AI In Retail Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Generative AI In Retail Market

8.1. Asia-Pacific Generative AI In Retail Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
8.2. Asia-Pacific Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
8.3. Asia-Pacific Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
8.4. Asia-Pacific Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Generative AI In Retail Market

9.1. China Generative AI In Retail Market Overview
9.2. China Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
9.3. China Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
9.4. China Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Generative AI In Retail Market

10.1. India Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
10.2. India Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
10.3. India Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Generative AI In Retail Market

11.1. Japan Generative AI In Retail Market Overview
11.2. Japan Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
11.3. Japan Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
11.4. Japan Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Generative AI In Retail Market

12.1. Australia Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
12.2. Australia Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
12.3. Australia Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Generative AI In Retail Market

13.1. Indonesia Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
13.2. Indonesia Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
13.3. Indonesia Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Generative AI In Retail Market

14.1. South Korea Generative AI In Retail Market Overview
14.2. South Korea Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
14.3. South Korea Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
14.4. South Korea Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Generative AI In Retail Market

15.1. Western Europe Generative AI In Retail Market Overview
15.2. Western Europe Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
15.3. Western Europe Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
15.4. Western Europe Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Generative AI In Retail Market

16.1. UK Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
16.2. UK Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
16.3. UK Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Generative AI In Retail Market

17.1. Germany Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
17.2. Germany Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
17.3. Germany Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Generative AI In Retail Market

18.1. France Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
18.2. France Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
18.3. France Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Generative AI In Retail Market

19.1. Italy Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
19.2. Italy Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
19.3. Italy Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Generative AI In Retail Market

20.1. Spain Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
20.2. Spain Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
20.3. Spain Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Generative AI In Retail Market

21.1. Eastern Europe Generative AI In Retail Market Overview
21.2. Eastern Europe Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
21.3. Eastern Europe Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
21.4. Eastern Europe Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Generative AI In Retail Market

22.1. Russia Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
22.2. Russia Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
22.3. Russia Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Generative AI In Retail Market

23.1. North America Generative AI In Retail Market Overview
23.2. North America Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
23.3. North America Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
23.4. North America Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Generative AI In Retail Market

24.1. USA Generative AI In Retail Market Overview
24.2. USA Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
24.3. USA Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
24.4. USA Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Generative AI In Retail Market

25.1. Canada Generative AI In Retail Market Overview
25.2. Canada Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
25.3. Canada Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
25.4. Canada Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Generative AI In Retail Market

26.1. South America Generative AI In Retail Market Overview
26.2. South America Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
26.3. South America Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
26.4. South America Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Generative AI In Retail Market

27.1. Brazil Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
27.2. Brazil Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
27.3. Brazil Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Generative AI In Retail Market

28.1. Middle East Generative AI In Retail Market Overview
28.2. Middle East Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
28.3. Middle East Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
28.4. Middle East Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Generative AI In Retail Market

29.1. Africa Generative AI In Retail Market Overview
29.2. Africa Generative AI In Retail Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
29.3. Africa Generative AI In Retail Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
29.4. Africa Generative AI In Retail Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Generative AI In Retail Market Competitive Landscape And Company Profiles

30.1. Generative AI In Retail Market Competitive Landscape
30.2. Generative AI In Retail Market Company Profiles
- 30.2.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
- 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
- 30.2.3. Hitachi Ltd. Overview, Products and Services, Strategy and Financial Analysis
- 30.2.4. Tencent Holdings Limited Overview, Products and Services, Strategy and Financial Analysis
- 30.2.5. Amazon Web Services (AWS) Overview, Products and Services, Strategy and Financial Analysis

31. Generative AI In Retail Market Other Major And Innovative Companies

31.1. Intel Corporation
31.2. Accenture plc
31.3. International Business Machines (IBM)
31.4. Oracle Corporation
31.5. Fujitsu Limited
31.6. Nvidia Corporation
31.7. NEC Corporation
31.8. Capgemini SE
31.9. Baidu Inc.
31.10. Infosys Limited
31.11. Adobe Inc.
31.12. Wipro Limited
31.13. SAS Institute Inc.
31.14. Tableau Software LLC
31.15. C3.ai Inc.

32. Global Generative AI In Retail Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Generative AI In Retail Market

34. Recent Developments In The Generative AI In Retail Market

35. Generative AI In Retail Market High Potential Countries, Segments and Strategies

35.1 Generative AI In Retail Market In 2029 - Countries Offering Most New Opportunities
35.2 Generative AI In Retail Market In 2029 - Segments Offering Most New Opportunities
35.3 Generative AI In Retail Market In 2029 - Growth Strategies
- 35.3.1 Market Trend Based Strategies
- 35.3.2 Competitor Strategies

36. Appendix

36.1. Abbreviations
36.2. Currencies
36.3. Historic And Forecast Inflation Rates
36.4. Research Inquiries
36.5. The Business Research Company
36.6. Copyright And Disclaimer