小売業におけるジェネレーティブAIの世界市場レポート 2025年

小売業におけるジェネレーティブAI市場規模は、今後数年で飛躍的な成長が見込まれます。2029年の年間平均成長率（CAGR）は39.6％で、42億米ドルに成長します。予測期間の成長は、顧客パーソナライゼーションの強化、在庫管理の改善、ダイナミックな価格戦略、不正検出の強化、顧客サポートの合理化などに起因しています。予測期間の主な動向には、AI主導の顧客サービス、自動サプライチェーン管理、リアルタイムでの不正行為や取引のための高度なAIアルゴリズム、ライブストリーミングプラットフォームとの統合、ビジュアル検索と拡張現実などがあります。

eコマースショッピングの成長は、小売市場におけるジェネレーティブAIの拡大を促進すると予想されます。従来の小売に比べ、オンライン・プラットフォームの利便性、多様性、アクセスのしやすさが、eコマースの増加に拍車をかけています。ジェネレーティブAIは、パーソナライズされた商品レコメンデーションを提供し、動的でコンテキストを認識したコンテンツを通じて顧客とのインタラクションを改善することで、eコマース体験を向上させる。例えば、米国政府機関である商務省国勢調査局が発表した報告書によると、eコマースの売上高は2023年に約1兆1,187億米ドルに達しました。2024年第1四半期の小売総売上高は1兆8,200億米ドルと推定され、この期間のeコマース売上高は2023年同期比で8.5%増（+-1.1%）、小売総売上高は2.8%増（+-0.5%）となりました。このようなeコマース・ショッピングの増加は、結果として小売市場におけるジェネレーティブAIの成長を促進しています。

小売業におけるジェネレーティブAI分野の主要企業は、顧客のパーソナライゼーションを強化し、在庫管理を最適化し、売上予測を改善するための高度なAI搭載ツールの開発に注力しています。こうしたジェネレーティブAI搭載ツールは、人工知能アルゴリズムを活用し、データを分析して洞察を生成することで、パーソナライズされた商品推奨、在庫管理、マーケティング戦略などのタスクを自動化・最適化し、小売セクターにおける効率性と意思決定を向上させる。例えば、2024年1月、米国のテクノロジー企業であるGoogle LLCは、オンラインショッピング体験の向上と小売業務の効率化を目的とした、小売業者向けの新しいGenerative AIツールを発表しました。これらのツールには、パーソナライズされたレコメンデーションと自然言語による対話のためのAIを搭載したバーチャルエージェントによる会話型コマースソリューション、より良い商品検索のための高度なLLMによる検索機能の向上、商品リストを最適化するためのカタログとコンテンツの充実、複数のロケーションにAIアプリケーションを拡張するためのGoogle Distributed Cloud Edgeなどが含まれます。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場- 金利、インフレ、地政学、新型コロナウイルス感染症、そして景気回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界の成長分析と戦略分析フレームワーク

• 世界小売業におけるジェネレーティブAI PESTEL分析（政治、社会、技術、環境、法的要因、促進要因と抑制要因）
• 最終用途産業の分析
• 世界の小売業におけるジェネレーティブAI市場：成長率分析
• 世界の小売業におけるジェネレーティブAI市場の実績：規模と成長, 2019-2024
• 世界の小売業におけるジェネレーティブAI市場の予測：規模と成長, 2024-2029, 2034F
• 世界小売業におけるジェネレーティブAI総アドレス可能市場（TAM）

第6章 市場セグメンテーション

• 世界の小売業におけるジェネレーティブAI市場：技術別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 変分オートエンコーダ
• 生成的敵対ネットワーク
• 深層強化学習
• リカレントニューラルネットワーク
• 変圧器ネットワーク
• その他のテクノロジー
• 世界の小売業におけるジェネレーティブAI市場：展開別、実績と予測, 2019-2024, 2024-2029F, 2034F
• クラウド
• オンプレミス
• 世界の小売業におけるジェネレーティブAI市場：用途別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 製品設計と開発
• ビジュアルマーチャンダイジング
• 需要予測
• パーソナライズされたマーケティング
• 不正行為検出
• 在庫管理
• サプライチェーンと物流
• その他の用途
• 世界の小売業におけるジェネレーティブAI市場：業界別、実績と予測, 2019-2024, 2024-2029F, 2034F
• ファッションとアパレル
• 家電
• ホームデコレーション
• 美容と化粧品
• 食料品店
• オンラインプラットフォーム
• 世界の小売業におけるジェネレーティブAI市場変分オートエンコーダ（VAE）のサブセグメンテーション（タイプ別）、実績と予測, 2019-2024, 2024-2029F, 2034F
• 製品推奨システム
• 顧客行動分析
• パーソナライズされたマーケティングキャンペーン
• 製品の画像生成
• 在庫管理ソリューション
• 世界の小売業におけるジェネレーティブAI市場敵対的生成ネットワーク（GAN）の種類別サブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
• 合成データ生成
• バーチャル試着ソリューション
• 製品画像の画像間翻訳
• マーケティングコンテンツのスタイル転送
• 取引における不正検出
• 世界の小売業におけるジェネレーティブAI市場深層強化学習のサブセグメンテーション（タイプ別）、実績と予測, 2019-2024, 2024-2029F, 2034F
• 動的価格設定モデル
• 在庫最適化
• パーソナライズされた顧客体験システム
• サプライチェーンマネジメント
• 売上予測
• 世界の小売業におけるジェネレーティブAI市場、リカレントニューラルネットワーク（RNN）のサブセグメンテーション（タイプ別）、実績と予測, 2019-2024, 2024-2029F, 2034F
• 売上の時系列予測
• 顧客エンゲージメント予測
• 顧客フィードバックの感情分析
• 解約予測モデル
• リピート購入のための推奨システム
• 世界の小売業におけるジェネレーティブAI市場変圧器ネットワークの種類別サブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
• 顧客とのインタラクションのための自然言語処理
• チャットボットとバーチャルアシスタント
• マーケティングのための自動コンテンツ生成
• 顧客感情分析
• 需要予測
• 世界の小売業におけるジェネレーティブAI市場その他のテクノロジーの種類別サブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
• 自己教師学習技術
• 画像生成のための拡散モデル
• データ生成のためのフローベースモデル
• プライバシー保護データ分析のための連合学習
• 複数のアプローチを組み合わせたハイブリッドモデル

第7章 地域別・国別分析

• 世界の小売業におけるジェネレーティブAI市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 世界の小売業におけるジェネレーティブAI市場：国別、実績と予測, 2019-2024, 2024-2029F, 2034F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

• 小売業におけるジェネレーティブAI市場：競合情勢
• 小売業におけるジェネレーティブAI市場：企業プロファイル
  • Google LLC Overview, Products and Services, Strategy and Financial Analysis
  • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • Hitachi Ltd. Overview, Products and Services, Strategy and Financial Analysis
  • Tencent Holdings Limited Overview, Products and Services, Strategy and Financial Analysis
  • Amazon Web Services（AWS）Overview, Products and Services, Strategy and Financial Analysis

第31章 その他の大手企業と革新的企業

• 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.

第32章 世界の市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 最近の市場動向

第35章 市場の潜在力が高い国、セグメント、戦略

• 小売業におけるジェネレーティブAI市場2029：新たな機会を提供する国
• 小売業におけるジェネレーティブAI市場2029：新たな機会を提供するセグメント
• 小売業におけるジェネレーティブAI市場2029：成長戦略
  • 市場動向に基づく戦略
  • 競合の戦略

第36章 付録

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.

Table of Contents

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