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市場調查報告書
商品編碼
2051098

零售市場中的人工智慧:按技術、應用、最終用戶和地區分類

Artificial Intelligence in Retail Market, By Technology, By Application, By End User, By Geography

出版日期: | 出版商: Coherent Market Insights | 英文 141 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

預計到2026年,零售業人工智慧(AI)市場規模將達到184億美元,到2033年將達到1,308.8億美元。預計從2026年到2033年,該市場將以32.4%的複合年成長率成長。

報告範圍 報告詳情
基準年: 2025 2026年市場規模: 184億美元
歷史數據時期: 2020年至2024年 預測期: 2026年至2033年
2026年至2033年預測期間的複合年成長率: 32.40% 2033年市場規模預測: 1308.8億美元

人工智慧 (AI) 正以前所未有的速度改變著各行各業,零售業也不例外。從產品推薦到無人商店,人工智慧正被應用於零售體驗的各個關鍵領域。人工智慧為零售商提供了巨大的機會,幫助他們更深入地了解客戶,最佳化營運和庫存,並提供更個人化的體驗。先進的演算法驅動著電腦視覺等新技術,使人工智慧系統能夠識別和理解視覺輸入。這正在推動各種創新應用的出現,從能夠識別和理解消費者需求的虛擬助理到無人收銀店。人工智慧正在開啟一個全新的時代,帶來高度個人化的互動、客製化的產品建議和流暢無阻的購物體驗。

市場動態

全球零售業人工智慧市場的成長主要受以下因素驅動:消費者對個人化購物體驗、利用預測分析降低風險、最佳化營運以及自動化重複性任務以提高生產力的需求不斷成長。然而,實施先進人工智慧技術的高昂成本和熟練人才的短缺阻礙了其快速普及。關鍵機會包括將電腦視覺應用於視覺搜尋、虛擬實境 (VR)/擴增實境(AR) 零售和無人商店等場景。邊緣運算等技術進步,即使在網路連線受限的環境中也能實現進階分析,也能推動人工智慧的普及。大型零售商正大力投資於開發創新人工智慧解決方案的新創公司,以獲得競爭優勢並改善客戶體驗。

本次調查的主要特點

  • 本研究揭示了各個細分市場的潛在商機,並為該市場說明了一個具有吸引力的投資提案矩陣。
  • 此外,本研究還深入分析了市場促進因素、限制因素、機會、新產品發布和核准、市場趨勢、區域展望以及主要參與者採取的競爭策略。
  • 本研究基於以下參數分析了全球零售業人工智慧市場的主要參與者:公司概況、產品系列、主要亮點、財務表現和策略。
  • 透過利用本報告中的見解,企業行銷負責人和經營團隊將能夠就未來的產品發布、產品升級、市場擴張和行銷策略做出明智的決策。
  • 這份題為《全球零售業人工智慧(AI)市場》的報告面向該產業的各類相關人員,包括投資者、供應商、產品製造商、經銷商、新參與企業和金融分析師。
  • 相關人員可以透過利用各種用於分析全球零售人工智慧市場的策略矩陣來簡化決策過程。

目錄

第1章:研究目標與前提條件

  • 分析目的
  • 先決條件
  • 簡稱

第2章 市場展望

  • 報告說明
    • 市場定義和範圍
  • 執行摘要

第3章:市場動態、監管與趨勢分析

  • 市場動態
    • 促進因素
    • 抑制因子
    • 市場機遇
  • 監管趨勢
  • 產業趨勢
  • 併購
  • 新系統實施和核准

第4章 全球零售市場:依技術分類,2026-2033年

  • 機器學習
  • 自然語言處理(NLP)
  • 電腦視覺
  • 機器人流程自動化 (RPA)

第5章 全球零售市場:依應用領域分類,2026-2033年

  • 個性化建議
  • 庫存管理
  • 客戶服務聊天機器人
  • 詐欺偵測
  • 價格最佳化

第6章 全球零售市場:依最終用戶分類,2026-2033年

  • 電子商務
  • 實體店面
  • 批發商

第7章 全球零售市場:依地區分類,2026-2033年

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 英國
    • 西班牙
    • 法國
    • 義大利
    • 俄羅斯
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • ASEAN
    • 澳洲
    • 韓國
    • 其他亞太國家
  • 拉丁美洲
    • 巴西
    • 阿根廷
    • 墨西哥
    • 其他拉丁美洲國家
  • 中東
    • 以色列
    • 海灣合作理事會國家
    • 其他中東國家
  • 非洲
    • 南非
    • 北非
    • 中非

第8章 競爭情勢

  • 公司簡介
    • Adobe
    • Alibaba Group
    • Amazon Web Services(AWS)
    • Apple
    • Appier
    • Ceconomy
    • Edeka
    • Foot Locker
    • Home Depot
    • IBM
    • Kroger
    • Lemon AI
    • Lowe's
    • Microsoft
    • NIKE

第9章 分析師建議

  • 機會分析
  • 分析師意見
  • Coherent Opportunity Map

第10章:調查方法

  • 參考
  • 調查方法
簡介目錄
Product Code: CMI7404

Artificial Intelligence in Retail Market is estimated to be valued at USD 18.40 Bn in 2026 and is expected to reach USD 130.88 Bn by 2033, growing at a compound annual growth rate (CAGR) of 32.4% from 2026 to 2033.

Report Coverage Report Details
Base Year: 2025 Market Size in 2026: USD 18.40 Bn
Historical Data for: 2020 To 2024 Forecast Period: 2026 To 2033
Forecast Period 2026 to 2033 CAGR: 32.40% 2033 Value Projection: USD 130.88 Bn

Artificial Intelligence (AI) is transforming industries at an unprecedented rate, and retail is no exception. AI is being applied to crucial areas of the retail experience from product recommendations to autonomous stores. AI presents a massive opportunity for retailers to gain deeper customer insights, optimize operations and inventory, and provide more personalized experiences. Advanced algorithms are powering new technologies like computer vision, which allows AI systems to see and understand visual inputs. This enables innovative applications from virtual assistants that see and understand consumer needs to autonomous checkout-free stores. AI is ushering in a new era of hyper-personalized interactions, customized product recommendations, and frictionless shopping experiences.

Market Dynamics

The global artificial intelligence in retail market growth is driven by the growing need for personalized shopping experiences, predictive analysis to reduce risks and optimize operations, and automation of repetitive tasks to improve productivity. However, high implementation costs of advanced AI technologies and lack of skilled talent are restraining faster adoption. Key opportunities include leveraging computer vision for applications like visual search, virtual/augmented reality retail, and autonomous stores. Adoption of AI is also being encouraged by technological advancements such as edge computing that support advanced analytics even with limited connectivity. Retail giants are investing heavily in startups developing innovative AI solutions to gain a competitive edge and enhance customer experiences.

Key features of the study

  • It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
  • This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players
  • It profiles key players in the global artificial intelligence in retail market based on the following parameters - company highlights, products portfolio, key highlights, financial performance, and strategies
  • Key companies covered as a part of this study include Adobe, Alibaba Group, Amazon Web Services (AWS), Apple, Appier, Ceconomy, Edeka, Foot Locker, Home Depot, IBM, Kroger, Lemon AI, Lowe's, Microsoft, and NIKE
  • Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics
  • The global artificial intelligence in retail market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts
  • Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global artificial intelligence in retail market.

Market Segmentation

  • By Technology Insights (Revenue, USD Bn, 2026 - 2033)
  • Machine Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Robotic Process Automation (RPA)
  • By Application Insights (Revenue, USD Bn, 2026 - 2033)
  • Personalized Recommendations
  • Inventory Management
  • Customer Service Chatbots
  • Fraud Detection
  • Pricing Optimization
  • By End User Insights (Revenue, USD Bn, 2026 - 2033)
  • E-commerce
  • Brick-and-Mortar Stores
  • Wholesalers
  • By Regional Insights (Revenue, USD Bn, 2026 - 2033)
  • North America
    • U.S.
    • Canada
  • Latin America
    • Brazil
    • Argentina
    • Mexico
    • Rest of Latin America
  • Europe
    • Germany
    • U.K.
    • Spain
    • France
    • Italy
    • Russia
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • ASEAN
    • Rest of Asia Pacific
  • Middle East
    • GCC Countries
    • Israel
    • Rest of Middle East
  • Africa
    • South Africa
    • North Africa
    • Central Africa
  • Key Players Insights
  • Adobe
  • Alibaba Group
  • Amazon Web Services (AWS)
  • Apple
  • Appier
  • Ceconomy
  • Edeka
  • Foot Locker
  • Home Depot
  • IBM
  • Kroger
  • Lemon AI
  • Lowe's
  • Microsoft
  • NIKE

Table of Contents

1. Research Objectives and Assumptions

  • Research Objectives
  • Assumptions
  • Abbreviations

2. Market Purview

  • Report Description
    • Market Definition and Scope
  • Executive Summary
    • Market Snippet, By Technology
    • Market Snippet, By Application
    • Market Snippet, By End User
    • Market Snippet, By Region

3. Market Dynamics, Regulations, and Trends Analysis

  • Market Dynamics
    • Drivers
    • Restraints
    • Market Opportunities
  • Regulatory Scenario
  • Industry Trend
  • Merger and Acquisitions
  • New System Launches/Approvals

4. Global Artificial Intelligence in Retail Market, By Technology, 2026-2033, (USD Bn)

  • Introduction
    • Market Share Analysis, 2026 and 2033 (%)
    • Y-o-Y Growth Analysis, 2026 - 2033
    • Segment Trends
  • Machine Learning
    • Introduction
    • Market Size and Forecast, 2026-2033, (USD Bn)
  • Natural Language Processing (NLP)
    • Introduction
    • Market Size and Forecast, 2026-2033, (USD Bn)
  • Computer Vision
    • Introduction
    • Market Size and Forecast, 2026-2033, (USD Bn)
  • Robotic Process Automation (RPA)
    • Introduction
    • Market Size and Forecast, 2026-2033, (USD Bn)

5. Global Artificial Intelligence in Retail Market, By Application, 2026-2033, (USD Bn)

  • Introduction
    • Market Share Analysis, 2026 and 2033 (%)
    • Y-o-Y Growth Analysis, 2026 - 2033
    • Segment Trends
  • Personalized Recommendations
    • Introduction
    • Market Size and Forecast, 2026-2033, (USD Bn)
  • Inventory Management
    • Introduction
    • Market Size and Forecast, 2026-2033, (USD Bn)
  • Customer Service Chatbots
    • Introduction
    • Market Size and Forecast, 2026-2033, (USD Bn)
  • Fraud Detection
    • Introduction
    • Market Size and Forecast, 2026-2033, (USD Bn)
  • Pricing Optimization
    • Introduction
    • Market Size and Forecast, 2026-2033, (USD Bn)

6. Global Artificial Intelligence in Retail Market, By End User, 2026-2033, (USD Bn)

  • Introduction
    • Market Share Analysis, 2026 and 2033 (%)
    • Y-o-Y Growth Analysis, 2026 - 2033
    • Segment Trends
  • E-commerce
    • Introduction
    • Market Size and Forecast, 2026-2033, (USD Bn)
  • Brick-and-Mortar Stores
    • Introduction
    • Market Size and Forecast, 2026-2033, (USD Bn)
  • Wholesalers
    • Introduction
    • Market Size and Forecast, 2026-2033, (USD Bn)

7. Global Artificial Intelligence in Retail Market, By Region, 2026-2033, (USD Bn)

  • Introduction
    • Market Share Analysis, By Region, 2026 and 2033 (%)
    • Y-o-Y Growth Analysis, 2026 - 2033
  • North America
    • Regional Trends
    • Market Size and Forecast, By Technology, 2026-2033, (USD Bn)
    • Market Size and Forecast, By Application, 2026-2033, (USD Bn)
    • Market Size and Forecast, By End User, 2026-2033, (USD Bn)
    • Market Size and Forecast, By Country, 2026-2033, (USD Bn)
      • U.S.
      • Canada
  • Europe
    • Regional Trends
    • Market Size and Forecast, By Technology, 2026-2033, (USD Bn)
    • Market Size and Forecast, By Application, 2026-2033, (USD Bn)
    • Market Size and Forecast, By End User, 2026-2033, (USD Bn)
    • Market Size and Forecast, By Country, 2026-2033, (USD Bn)
      • Germany
      • U.K.
      • Spain
      • France
      • Italy
      • Russia
      • Rest of Europe
  • Asia Pacific
    • Regional Trends
    • Market Size and Forecast, By Technology, 2026-2033, (USD Bn)
    • Market Size and Forecast, By Application, 2026-2033, (USD Bn)
    • Market Size and Forecast, By End User, 2026-2033, (USD Bn)
    • Market Size and Forecast, By Country, 2026-2033, (USD Bn)
      • China
      • India
      • Japan
      • ASEAN
      • Australia
      • South Korea
      • Rest of Asia Pacific
  • Latin America
    • Regional Trends
    • Market Size and Forecast, By Technology, 2026-2033, (USD Bn)
    • Market Size and Forecast, By Application, 2026-2033, (USD Bn)
    • Market Size and Forecast, By End User, 2026-2033, (USD Bn)
    • Market Size and Forecast, By Country, 2026-2033, (USD Bn)
      • Brazil
      • Argentina
      • Mexico
      • Rest of Latin America
  • Middle East
    • Regional Trends
    • Market Size and Forecast, By Technology, 2026-2033, (USD Bn)
    • Market Size and Forecast, By Application, 2026-2033, (USD Bn)
    • Market Size and Forecast, By End User, 2026-2033, (USD Bn)
    • Market Size and Forecast, By Country, 2026-2033, (USD Bn)
      • Israel
      • GCC Countries
      • Rest of the Middle East
  • Africa
    • Regional Trends
    • Market Size and Forecast, By Technology, 2026-2033, (USD Bn)
    • Market Size and Forecast, By Application, 2026-2033, (USD Bn)
    • Market Size and Forecast, By End User, 2026-2033, (USD Bn)
    • Market Size and Forecast, By Country, 2026-2033, (USD Bn)
      • South Africa
      • North Africa
      • Central Africa

8. Competitive Landscape

  • Company Profiles
    • Adobe
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Alibaba Group
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Amazon Web Services (AWS)
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Apple
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Appier
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Ceconomy
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Edeka
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Foot Locker
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Home Depot
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • IBM
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Kroger
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Lemon AI
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Lowe's
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Microsoft
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • NIKE
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates

9. Analyst Recommendations

  • Wheel of Fortune
  • Analyst View
  • Coherent Opportunity Map

10. Research Methodology

  • References
  • Research Methodology
  • About us and Sales Contact