人工智慧在食品零售和電子商務領域的應用:全球市場
市場調查報告書
商品編碼
1872693

人工智慧在食品零售和電子商務領域的應用:全球市場

AI in Food Retail and E-commerce: Global Markets

出版日期: | 出版商: BCC Research | 英文 177 Pages | 訂單完成後即時交付

價格

全球食品零售和電子商務人工智慧市場預計將從 2025 年的 35 億美元成長到 2030 年底的 134 億美元,預測期(2025-2030 年)的複合年成長率為 30.8%。

預計北美市場將從2025年的14億美元成長到2030年底的55億美元,預測期間(2025-2030年)複合年成長率為31%。預計歐洲市場將從2025年的11億美元成長到2030年底的41億美元,預測期間(2025-2030年)複合年成長率為30.4%。

本報告檢視了全球食品零售和電子商務人工智慧市場,並提供了市場概覽、市場影響因素和市場機會分析、技術趨勢、法律制度、市場規模趨勢和預測、按各個細分市場和地區進行的詳細分析以及主要企業的概況。

目錄

第1章執行摘要

  • 市場展望
  • 調查範圍
  • 市場摘要
  • 市場動態與成長要素
  • 新興技術
  • 戰略意義及未來展望
  • 細分市場分析
  • 區域分析
  • 結論

第2章 市場概覽

  • 概述
  • 宏觀經濟因素
  • 技術基礎設施和數位化準備
  • 全球經濟成長與消費支出
  • 政府政策和法規
  • 都市化和人口變化
  • 全球貿易與供應鏈動態
  • 美國關稅的影響
  • 波特五力分析
  • 人工智慧如何影響食品零售和電子商務價值鏈
  • 對供應鏈和營運效率的影響
  • 用例
  • 案例一:沃爾瑪利用人工智慧預測減少食物廢棄物
  • 用例 2:Instacart 探索人工智慧最佳化的配送物流
  • 用例3:阿里巴巴利用人工智慧聊天機器人拓展客戶支持
  • 用例 4:亞馬遜推出個人化產品建議
  • 用例 5:樂購利用電腦視覺最佳化門市佈局

第3章 市場動態

  • 概述
  • 市場促進因素
  • 食品產業數位化進程的興起
  • 線上雜貨平台和快速商務的擴張
  • 消費者對個人化購物體驗的需求
  • 市場限制
  • 初始投資高,整合複雜
  • 資料隱私、安全和倫理問題
  • 缺乏標準化和互通性
  • 市場機遇
  • 消費者對自動駕駛和最後一公里配送的需求
  • 語音商務與對話式人工智慧
  • 智慧結帳系統與自主商店

第4章:監理現狀

  • 概述
  • 美國監管情勢
  • 歐洲監管格局
  • 亞太地區監理情勢
  • 日本
  • 中國
  • 其他

第5章 新興技術趨勢與專利分析

  • 新趨勢
  • 最新技術和應用趨勢
  • 新興技術
  • 影響零售業的新興趨勢
  • 專利分析

第6章 市場區隔分析

  • 細分市場分析
  • 市場區隔:依技術分類
  • 摘要
  • 機器學習
  • 電腦視覺
  • 自然語言處理
  • 機器人與自動化
  • 其他
  • 市場區隔:按應用領域
  • 摘要
  • 個性化建議
  • 庫存和需求預測
  • 供應鏈最佳化
  • 客戶服務自動化
  • 其他人工智慧應用
  • 市場區隔:依最終用戶分類
  • 摘要
  • 線上雜貨平台
  • 超級市場和大賣場
  • 快速商務和配送應用程式
  • 其他
  • 地理細分
  • 市場區隔:依地區分類
  • 摘要
  • 北美洲
  • 歐洲
  • 亞太地區
  • 中東和非洲
  • 南美洲

第7章 競爭訊息

  • 摘要
  • 競爭分析
  • 實體零售商和電商巨頭如何利用人工智慧
  • 戰略分析
  • 投資環境

第8章 人工智慧在食品零售和電子商務中的永續性:ESG視角

  • 概述
  • 永續性趨勢和舉措
  • 人工智慧助力環境永續性
  • 人工智慧助力社會永續性
  • 人工智慧採用的管治方面
  • ESG風險評估
  • ESG評級解讀
  • BCC的結語

第9章附錄

  • 調查方法
  • 來源
  • 簡稱
  • 公司簡介
  • ACCENTURE
  • AFRESH TECHNOLOGIES INC.
  • ALIBABA GROUP HOLDING LTD.
  • ALPHABET INC. (GOOGLE INC.)
  • AMAZON.COM INC.
  • IBM CORP.
  • INTEL CORP.
  • MICROSOFT
  • NVIDIA CORP.
  • ORACLE
  • RELEX SOLUTION
  • SALESFORCE INC.
  • SAP SE
  • UPSHOP
  • ZEBRA TECHNOLOGIES CORP.
  • 新興Start-Ups/市場顛覆者
Product Code: AIT017A

The global market for AI in food retail and e-commerce is expected to grow from $3.5 billion in 2025 and is projected to reach $13.4 billion by the end of 2030, at a compound annual growth rate (CAGR) of 30.8% during the forecast period of 2025 to 2030.

The North American market for AI in food retail and e-commerce is expected to grow from $1.4 billion in 2025 and is projected to reach $5.5 billion by the end of 2030, at a CAGR of 31% during the forecast period of 2025 to 2030.

The European market for AI in food retail and e-commerce is expected to grow from $1.1 billion in 2025 and is projected to reach $4.1 billion by the end of 2030, at a CAGR of 30.4% during the forecast period of 2025 to 2030.

Report Scope

This report provides a comprehensive overview of the global AI in food retail and e-commerce market, including an analysis of key trends, growth drivers, and challenges. It offers market revenue estimates in US$ million, with base year data for 2024 and forecasts from 2025 through 2030.

The market is segmented by offering, technology, application, end user and region. Offerings consist of hardware, software and services. Technologies include machine learning (ML), natural language processing (NLP), computer vision, robotics and automation, and other AI technologies. Applications include personalized recommendations, inventory and demand forecasting, customer service automation and supply chain optimization). End users include online grocery platforms, quick commerce and delivery apps, supermarkets and hypermarkets. Regions consists of North America, Europe, Asia-Pacific, the Middle East and Africa and South America. The report also looking at the markets in some of the countries in each region.

The report evaluates market dynamics, including regulatory factors and technology roadmaps. It also covers competitive intelligence, including market share/ranking of key players, innovation strategies, M&A activity, profiles of vendors shaping the market for AI in food retail and e-commerce, and companies' ESG initiatives.

Report Includes

  • 50 data tables and 79 additional tables
  • An overview of the global market for AI in food retail and e-commerce
  • In-depth analysis of global market trends, featuring historical revenue data for 2024, estimated figures for 2025, and projections of compound annual growth rates (CAGRs) through 2030
  • Evaluation of the current market size and revenue growth prospects specific to AI in food retail and e-commerce, accompanied by a market share analysis by technology, region, application and end-use industry
  • Analysis of current and future demand in the market, along with a detailed analysis of the competitive environment, market regulations and reimbursement practices
  • Analysis of drivers, challenges and opportunities affecting market growth
  • Coverage of evolving technologies, the current and future market potential, R&D activities, growth strategies, new product pipeline, regulatory framework and reimbursement scenarios and ESG trends of the market
  • Market share analysis of the key market participants in the food retail and e-commerce market, along with their research priorities, product portfolios, global rankings and competitive landscape
  • Profiles of major companies in the industry, including Microsoft, Alphabet (Google), Amazon (AWS), Nvidia, and IBM

Table of Contents

Chapter 1 Executive Summary

  • Market Outlook
  • Scope of Report
  • Market Summary
  • Market Dynamics and Growth Factors
  • Emerging Technologies
  • Strategic Impacts and Future Outlook
  • Segmental Analysis
  • Regional Analysis
  • Conclusion

Chapter 2 Market Overview

  • Overview
  • Macroeconomic Factors
  • Technological Infrastructure and Digital Readiness
  • Global Economic Growth and Consumer Spending
  • Government Policy and Regulation
  • Urbanization and Demographic Shifts
  • Global Trade and Supply Chain Dynamics
  • Impact of U.S. Tariffs
  • Porter's Five Forces Analysis
  • Threat of New Entrants (Moderate to High)
  • Bargaining Power of Buyers (Moderate to High)
  • Bargaining Power of Suppliers (Moderate to High)
  • Threat of Substitutes (Moderate)
  • Intensity of Competition (High)
  • AI's Impact on the Food Retail and E-commerce Value Chain
  • Impact on Supply Chain and Operational Efficiency
  • Use Cases
  • Use Case 1: Walmart Uses AI Forecasting to Reduce Food Waste
  • Use Case 2: Instacart Discovers AI-Optimized Delivery Logistics
  • Use Case 3: Alibaba Scales Customer Support with AI Chatbots
  • Use Case 4: Amazon Turns to Personalized Product Recommendations
  • Use Case 5: Tesco Enhances Store Layout with Computer Vision

Chapter 3 Market Dynamics

  • Overview
  • Market Drivers
  • Increased Digitalization in the Food Industry
  • Expansion of Online Grocery Platforms and Quick Commerce
  • Consumer Demand for Personalized Shopping Experiences
  • Market Restraints
  • High Initial Investment and Integration Complexities
  • Data Privacy, Security and Ethical Concerns
  • Lack of Standardization and Interoperability
  • Market Opportunities
  • Consumer Demand for Autonomous and Last-Mile Deliveries
  • Voice-Based Commerce and Conversational AI
  • Smart Checkout Systems and Autonomous Stores

Chapter 4 Regulatory Landscape

  • Overview
  • Regulatory Scenario in the U.S.
  • Regulatory Scenario in Europe
  • Regulatory Scenario in Asia-Pacific
  • Japan
  • China
  • Other Countries

Chapter 5 Emerging Technology Trends and Patent Analysis

  • Emerging Trends
  • Newest Technologies and Application Trends
  • Emerging Technologies
  • Emerging Trends Impacting Retail Businesses
  • Patent Analysis
  • Patents by Publication Year
  • Patent by Jurisdiction
  • Patents by Leading Owner/Assignee
  • Recently Filed Patents
  • Granted Patents

Chapter 6 Market Segmentation Analysis

  • Segmentation Breakdown
  • Market Breakdown by Technology
  • Takeaways
  • Machine Learning
  • Computer Vision
  • Natural Language Processing
  • Robotics and Automation
  • Other AI-based Technologies
  • Market Breakdown by Application
  • Takeaways
  • Personalized Recommendations
  • Inventory and Demand Forecasting
  • Supply Chain Optimization
  • Customer Service Automation
  • Other AI Applications
  • Market Breakdown by End User
  • Takeaways
  • Online Grocery Platforms
  • Supermarkets and Hypermarkets
  • Quick Commerce and Delivery Apps
  • Other End Users
  • Geographic Breakdown
  • Market Breakdown by Region
  • Takeaways
  • North America
  • Europe
  • Asia-Pacific
  • Middle East and Africa
  • South America

Chapter 7 Competitive Intelligence

  • Takeaways
  • Competitive Analysis
  • Leveraging AI by Traditional Retailers and E-Commerce Giants
  • Strategic Analysis
  • Investment Landscape

Chapter 8 Sustainability in AI in Food Retail and E-Commerce: ESG Perspective

  • Overview
  • Sustainability Trends and Initiatives
  • Environmental Sustainability through AI
  • Social Sustainability through AI
  • Governance Aspects of AI Deployment
  • ESG Risk Ratings
  • Interpretation of ESG Ratings
  • Concluding Remarks from BCC Research

Chapter 9 Appendix

  • Research Methodology
  • Sources
  • Abbreviations
  • Company Profiles
  • ACCENTURE
  • AFRESH TECHNOLOGIES INC.
  • ALIBABA GROUP HOLDING LTD.
  • ALPHABET INC. (GOOGLE INC.)
  • AMAZON.COM INC.
  • IBM CORP.
  • INTEL CORP.
  • MICROSOFT
  • NVIDIA CORP.
  • ORACLE
  • RELEX SOLUTION
  • SALESFORCE INC.
  • SAP SE
  • UPSHOP
  • ZEBRA TECHNOLOGIES CORP.
  • Emerging Start-ups/Market Disruptors

List of Tables

  • Summary Table : Global Market for AI in Food Retail and E-Commerce, by Region, Through 2030
  • Table 1 : Partnerships between AI Technology Firms and Food Retailers
  • Table 2 : U.S. Regulatory Developments Related to AI in Food Retail and E-Commerce
  • Table 3 : EU Regulatory Developments Related to AI in Food Retail and E-Commerce
  • Table 4 : Asia-Pacific Regulatory Developments Related to AI in Food Retail and E-Commerce
  • Table 5 : Patents Related to AI in Food Retail and E-Commerce, 2022-2025
  • Table 6 : Patents Related to AI in Food Retail and E-Commerce, by Owner/Assignee, 2022-2025
  • Table 7 : Recently Published Patents Related to AI in Food Retail and E-Commerce, 2025
  • Table 8 : Granted Patents Related to AI in Food Retail and E-Commerce, 2022-2025
  • Table 9 : Global Market for AI in Food Retail and E-Commerce, by Technology,Through 2030
  • Table 10 : Global Market for AI-based ML in Food Retail and E-Commerce, by Region, Through 2030
  • Table 11 : Global Market for AI-based Computer Vision in Food Retail and E-Commerce, by Region, Through 2030
  • Table 12 : Global Market for AI-based NLP in Food Retail and E-Commerce, by Region, Through 2030
  • Table 13 : Global Market for AI-based Robotics and Automation in Food Retail and E-Commerce, by Region, Through 2030
  • Table 14 : Global Market for Other AI-based Technologies in Food Retail and E-Commerce, by Region, Through 2030
  • Table 15 : Global Market for AI in Food Retail and E-Commerce, by Application, Through 2030
  • Table 16 : Global Market for AI-based Personalized Recommendations in Food Retail and E-Commerce, by Region, Through 2030
  • Table 17 : Global Market for AI-Based Inventory and Demand Forecasting in Food Retail and E-Commerce, by Region, Through 2030
  • Table 18 : Global Market for AI-Based Supply Chain Optimization in Food Retail and E-Commerce, by Region, Through 2030
  • Table 19 : Global Market for AI-Based Customer Service Automation in Food Retail and E-Commerce, by Region, Through 2030
  • Table 20 : Global Market for AI-Based Other Applications in Food Retail and E-Commerce, by Region, Through 2030
  • Table 21 : Global Market for AI in Food Retail and E-commerce, by End User, Through 2030
  • Table 22 : Global Market for AI-Based Online Grocery Platforms in Food Retail and E-Commerce, by Region, Through 2030
  • Table 23 : Global Market for AI-Based Supermarkets and Hypermarkets in Food Retail and E-Commerce, by Region, Through 2030
  • Table 24 : Global Market for AI-Based Q-Commerce and Delivery Apps, by Region, Through 2030
  • Table 25 : Global Market for Other End Users of AI in Food Retail and E-Commerce, by Region, Through 2030
  • Table 26 : Global Market for AI in Food Retail and E-Commerce, by Region, Through 2030
  • Table 27 : North American Market for AI in Food Retail and E-Commerce, by Country, Through 2030
  • Table 28 : North American Market for AI in Food Retail and E-Commerce, by Technology, Through 2030
  • Table 29 : North American Market for AI in Food Retail and E-Commerce, by Application, Through 2030
  • Table 30 : North American Market for AI in Food Retail and E-Commerce, by End User, Through 2030
  • Table 31 : AI Technology Adoption by Leading Retailers and Technology Providers in the U.S.
  • Table 32 : AI Adoption by Leading Retailers and Technology Providers in Canada
  • Table 33 : AI Adoption by Leading Retailers and Technology Providers in Mexico
  • Table 34 : European Market for AI in Food Retail and E-Commerce, by Country, Through 2030
  • Table 35 : European Market for AI in Food Retail and E-Commerce, by Technology, Through 2030
  • Table 36 : European Market for AI in Food Retail and E-Commerce, by Application, Through 2030
  • Table 37 : European Market for AI in Food Retail and E-Commerce, by End User, Through 2030
  • Table 38 : AI Adoption by Leading Retailers and Technology Providers in Germany
  • Table 39 : AI Adoption by Leading Retailers in the U.K.
  • Table 40 : Leading French Retailers and Their AI Applications
  • Table 41 : Leading Spanish Retailers and Technology Providers Using AI
  • Table 42 : AI Adoption by Leading Retailers and Technology Providers in Italy
  • Table 43 : Asia-Pacific Market for AI in Food Retail and E-Commerce, by Country, Through 2030
  • Table 44 : Asia-Pacific Market for AI in Food Retail and E-Commerce, by Technology, Through 2030
  • Table 45 : Asia-Pacific Market for AI in Food Retail and E-Commerce, by Application, Through 2030
  • Table 46 : Asia-Pacific Market for AI in Food Retail and E-Commerce, by End User, Through 2030
  • Table 47 : Leading Chinese Companies Driving AI Implementation in Food Retail
  • Table 48 : Japanese Companies Integrating AI in Food Retail and Manufacturing
  • Table 49 : AI Adoption by Leading Retailers and Technology Providers in India
  • Table 50 : AI Adoption by Leading Retailers and Technology Providers in South Korea
  • Table 51 : AI Adoption by Leading Retailers and Technology Providers in Australia
  • Table 52 : MEA Market for AI in Food Retail and E-Commerce, by Sub-Region, Through 2030
  • Table 53 : MEA Market for AI in Food Retail and E-Commerce, by Technology, Through 2030
  • Table 54 : MEA Market for AI in Food Retail and E-Commerce, by Application, Through 2030
  • Table 55 : MEA Market for AI in Food Retail and E-Commerce, by End User, Through 2030
  • Table 56 : AI Adoption by Leading Retailers and Technology Providers in the GCC
  • Table 57 : South American Market for AI in Food Retail and E-Commerce, by Country, Through 2030
  • Table 58 : South American Market for AI in Food Retail and E-Commerce, by Technology, Through 2030
  • Table 59 : South American Market for AI in Food Retail and E-Commerce, by Application, Through 2030
  • Table 60 : South American Market for AI in Food Retail and E-Commerce, by End User, Through 2030
  • Table 61 : AI Adoption by Leading Retailers and Technology Providers in Brazil
  • Table 62 : AI Adoption by Leading Retailers and Technology Providers in Argentina
  • Table 63 : Leaders in the Market for AI in Food Retail and E-Commerce Market, 2024
  • Table 64 : Recent AI-Driven Acquisitions and Agreements in Food Retail and E-Commerce, 2025
  • Table 65 : Recent Investments in AI in Food Retail and E-Commerce Companies, 2022-2025
  • Table 66 : Food Waste Reduction by AI Adoption through Platforms and Initiatives, 2024
  • Table 67 : Energy Optimization by AI Adoption through Platforms and Initiatives, 2024
  • Table 68 : Supply Chain Optimization by AI Adoption through Platforms and Initiatives, 2024
  • Table 69 : ESG Risk Scores and Ratings for Companies, 2025*
  • Table 70 : Information Sources Used in this Report
  • Table 71 : Abbreviations Used in this Report
  • Table 72 : Accenture: Company Snapshot
  • Table 73 : Accenture: Financial Performance, FY 2023 and 2024
  • Table 74 : Accenture: Product Portfolio
  • Table 75 : Accenture: News/Key Developments, 2025
  • Table 76 : Afresh Technologies Inc.: Company Snapshot
  • Table 77 : Afresh Technologies Inc.: Product Portfolio
  • Table 78 : Afresh Technologies Inc.: News/Key Developments, 2023-2024
  • Table 79 : Alibaba Group Holding Ltd.: Company Snapshot
  • Table 80 : Alibaba Group Holding Ltd.: Financial Performance, FY 2023 and 2024
  • Table 81 : Alibaba Group Holding Ltd.: Product Portfolio
  • Table 82 : Alibaba Group Holding Ltd.: News/Key Developments, 2024
  • Table 83 : Alphabet Inc. (Google Inc.): Company Snapshot
  • Table 84 : Alphabet Inc. (Google Inc.) : Financial Performance, FY 2023 and 2024
  • Table 85 : Alphabet Inc. (Google Inc.) : Product Portfolio
  • Table 86 : Alphabet Inc. (Google Inc.) : News/Key Developments, 2025
  • Table 87 : Amazon.com Inc.: Company Snapshot
  • Table 88 : Amazon.com Inc.: Financial Performance, FY 2023 and 2024
  • Table 89 : Amazon.com Inc.: Product Portfolio
  • Table 90 : Amazon.com Inc.: News/Key Developments, 2025
  • Table 91 : IBM Corp.: Company Snapshot
  • Table 92 : IBM Corp.: Financial Performance, FY 2023 and 2024
  • Table 93 : IBM Corp.: Product Portfolio
  • Table 94 : IBM Corp.: News/Key Developments, 2024
  • Table 95 : Intel Corp.: Company Snapshot
  • Table 96 : Intel Corp.: Financial Performance, FY 2023 and 2024
  • Table 97 : Intel Corp.: Product Portfolio
  • Table 98 : Microsoft: Company Snapshot
  • Table 99 : Microsoft: Financial Performance, FY 2023 and 2024
  • Table 100 : Microsoft: Product Portfolio
  • Table 101 : Microsoft: News/Key Developments, 2024-2025
  • Table 102 : Nvidia Corp.: Company Snapshot
  • Table 103 : Nvidia Corp.: Financial Performance, FY 2023 and 2024
  • Table 104 : Nvidia Corp.: Product Portfolio
  • Table 105 : Nvidia Corp.: News/Key Developments, 2025
  • Table 106 : Oracle: Company Snapshot
  • Table 107 : Oracle: Financial Performance, FY 2023 and 2024
  • Table 108 : Oracle: Product Portfolio
  • Table 109 : Oracle: News/Key Developments, 2025
  • Table 110 : Relex Solutions: Company Snapshot
  • Table 111 : Relex Solutions: Product Portfolio
  • Table 112 : Relex Solutions: News/Key Developments, 2025
  • Table 113 : Salesforce Inc.: Company Snapshot
  • Table 114 : Salesforce Inc.: Financial Performance, FY 2023 and 2024
  • Table 115 : Salesforce Inc.: Product Portfolio
  • Table 116 : Salesforce Inc.: News/Key Developments, 2024
  • Table 117 : SAP SE: Company Snapshot
  • Table 118 : SAP SE: Financial Performance, FY 2023 and 2024
  • Table 119 : SAP SE: Product Portfolio
  • Table 120 : SAP SE: News/Key Developments, 2024-2025
  • Table 121 : Upshop: Company Snapshot
  • Table 122 : Upshop: Product Portfolio
  • Table 123 : Upshop: News/Key Developments, 2024-2025
  • Table 124 : Zebra Technologies Corp.: Company Snapshot
  • Table 125 : Zebra Technologies Corp.: Financial Performance, FY 2023 and 2024
  • Table 126 : Zebra Technologies Corp.: Product Portfolio
  • Table 127 : Zebra Technologies Corp.: News/Key Developments, 2025
  • Table 128 : Emerging Startups in the AI in Food Retail and E-Commerce Market, 2025

List of Figures

  • Summary Figure : Global Market Shares of AI in Food Retail and E-Commerce, by Region, 2024
  • Figure 1 : Porter's Five Forces Analysis
  • Figure 2 : Market Dynamics
  • Figure 3 : Published Patents Related to AI in Food Retail and E-Commerce, by Year, 2022-2025
  • Figure 4 : Patents Related to AI in Food Retail and E-Commerce, by Jurisdiction, 2022-2025
  • Figure 5 : Global Market Shares of AI in Food Retail and E-Commerce, by Technology, 2024
  • Figure 6 : Global Market Shares of AI-Based ML in Food Retail and E-Commerce, by Region, 2024
  • Figure 7 : Global Market Shares of AI-Based Computer Vision in Food Retail and E-Commerce, by Region, 2024
  • Figure 8 : Global Market Shares of AI-Based NLP in Food Retail and E-Commerce, by Region, 2024
  • Figure 9 : Global Market Shares of AI-Based Robotics and Automation in Food Retail and E-Commerce, by Region, 2024
  • Figure 10 : Global Market Shares of Other AI-Based Technologies in Food Retail and E-Commerce, by Region, 2024
  • Figure 11 : Global Market Shares of AI in Food Retail and E-Commerce, by Application, 2024
  • Figure 12 : Global Market Shares of AI-Based Personalized Recommendations in Food Retail and E-Commerce, by Region, 2024
  • Figure 13 : Global Market Shares of AI-Based Inventory and Demand Forecasting in Food Retail and E-commerce, by Technology, 2024
  • Figure 14 : Global Market Shares of AI-Based Supply Chain Optimization in Food Retail and E-Commerce, by Region, 2024
  • Figure 15 : Global Market Shares of AI-Based Customer Service Automation in Food Retail and E-Commerce, by Region, 2024
  • Figure 16 : Global Market Shares of AI-Based Other Applications in Food Retail and E-Commerce, by Region, 2024
  • Figure 17 : Global Market Shares of AI in Food Retail and E-Commerce, by End User, 2024
  • Figure 18 : Global Market Shares of AI-Based Online Grocery Platforms in Food Retail and E-Commerce, by Region, 2024
  • Figure 19 : Global Market Shares of AI-Based Supermarkets and Hypermarkets in Food Retail and E-Commerce, by Region, 2024
  • Figure 20 : Global Market Shares of AI-Based Q-Commerce and Delivery Apps, by Region, 2024
  • Figure 21 : Global Market Shares of Other End Users of AI in Food Retail and E-commerce, by Region, 2024
  • Figure 22 : Global Market Shares of AI in Food Retail and E-Commerce, by Region, 2024
  • Figure 23 : North American Market Shares of AI in Food Retail and E-Commerce, by Country, 2024
  • Figure 24 : North American Market Shares of AI in Food Retail and E-Commerce, by Technology, 2024
  • Figure 25 : North American Market Shares of AI in Food Retail and E-Commerce, by Application, 2024
  • Figure 26 : North American Market Shares of AI in Food Retail and E-Commerce, by End User, 2024
  • Figure 27 : European Market Shares of AI in Food Retail and E-Commerce, by Country, 2024
  • Figure 28 : European Market Shares of AI in Food Retail and E-Commerce, by Technology, 2024
  • Figure 29 : European Market Shares of AI in Food Retail and E-Commerce, by Application, 2024
  • Figure 30 : European Market Shares of AI in Food Retail and E-Commerce, by End User, 2024
  • Figure 31 : Asia-Pacific Market Shares of AI in Food Retail and E-Commerce, by Country, 2024
  • Figure 32 : Asia-Pacific Market Shares of AI in Food Retail and E-Commerce, by Technology, 2024
  • Figure 33 : Asia-Pacific Market Shares of AI in Food Retail and E-Commerce, by Application, 2024
  • Figure 34 : Asia-Pacific Market Shares of AI in Food Retail and E-Commerce, by End User, 2024
  • Figure 35 : MEA Market Shares of AI in Food Retail and E-Commerce, by Sub-Region, 2024
  • Figure 36 : MEA Market Shares of AI in Food Retail and E-Commerce, by Technology, 2024
  • Figure 37 : MEA Market Shares of AI in Food Retail and E-Commerce, by Application, 2024
  • Figure 38 : MEA Market Shares of AI in Food Retail and E-Commerce, by End User, 2024
  • Figure 39 : South American Market Shares of AI in Food Retail and E-Commerce, by Country, 2024
  • Figure 40 : South American Market Shares of AI in Food Retail and E-Commerce, by Technology, 2024
  • Figure 41 : South American Market Shares of AI in Food Retail and E-Commerce, by Application, 2024
  • Figure 42 : South American Market Shares of AI in Food Retail and E-Commerce, by End User, 2024
  • Figure 43 : Accenture: Revenue Shares, by Business Unit, FY 2024
  • Figure 44 : Accenture: Revenue Shares, by Country/Region, FY 2024
  • Figure 45 : Alibaba Group Holding Ltd.: Revenue Shares, by Business Unit, FY 2024
  • Figure 46 : Alphabet Inc. (Google Inc.): Revenue Shares, by Business Unit, FY 2024
  • Figure 47 : Alphabet Inc. (Google Inc.): Revenue Shares, by Country/Region, FY 2024
  • Figure 48 : Amazon.com Inc.: Revenue Shares, by Business Unit, FY 2024
  • Figure 49 : Amazon.com Inc.: Revenue Shares, by Country/Region, FY 2024
  • Figure 50 : IBM Corp.: Revenue Shares, by Business Unit, FY 2024
  • Figure 51 : IBM Corp.: Revenue Shares, by Country/Region, FY 2024
  • Figure 52 : Intel Corp.: Revenue Shares, by Business Unit, FY 2024
  • Figure 53 : Intel Corp.: Revenue Shares, by Country/Region, FY 2024
  • Figure 54 : Microsoft: Revenue Shares, by Business Unit, FY 2024
  • Figure 55 : Microsoft: Revenue Shares, by Country/Region, FY 2024
  • Figure 56 : Nvidia Corp.: Revenue Shares, by Business Unit, FY 2024
  • Figure 57 : Nvidia Corp.: Revenue Shares, by Country/Region, FY 2024
  • Figure 58 : Oracle: Revenue Shares, by Business Unit, FY 2024
  • Figure 59 : Oracle: Revenue Shares, by Country/Region, FY 2024
  • Figure 60 : Salesforce Inc.: Revenue Shares, by Business Segment, FY 2024
  • Figure 61 : Salesforce Inc.: Revenue Shares, by Country/Region, FY 2024
  • Figure 62 : SAP SE: Revenue Shares, by Business Segment, FY 2024
  • Figure 63 : SAP SE: Revenue Shares, by Country/Region, FY 2024
  • Figure 64 : Zebra Technologies Corp.: Revenue Shares, by Business Unit, FY 2024
  • Figure 65 : Zebra Technologies Corp.: Revenue Shares, by Country/Region, FY 2024