Generative AI In Retail Global Market Report 2025

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.

Reasons to Purchase

• Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
• Assess the impact of key macro factors such as conflict, pandemic and recovery, inflation and interest rate environment and the 2nd Trump presidency.
• Create regional and country strategies on the basis of local data and analysis.
• Identify growth segments for investment.
• Outperform competitors using forecast data and the drivers and trends shaping the market.
• Understand customers based on the latest market shares.
• Benchmark performance against key competitors.
• Suitable for supporting your internal and external presentations with reliable high quality data and analysis
• Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
• All data from the report will also be delivered in an excel dashboard format.

Description:

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.

Please Note: Report will be updated with the latest data and delivered to you within 3-5 working days of order. Show more