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市場調查報告書
商品編碼
1567259

零售業人工智慧市場:按技術、按應用、按最終用戶、按地區

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 140 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

預計2024年零售業人工智慧的全球市場規模為104.8億美元,預計到2031年將達到730.2億美元,2024年至2031年的複合年成長率為32%。

報告範圍 報告詳情
基準年 2023年 2024年市場規模 104.8億美元
實際資料 2019-2023 預測期 2024年至2031年
預測 2024-2031 年複合年成長率: 32.00% 2031年價值預測 730.2億美元
圖:2024 年按地區分類的人工智慧在零售業的市場佔有率
零售市場的人工智慧-IMG1

人工智慧 (AI) 正在以前所未有的速度改變各行各業,零售業也不例外。人工智慧正在應用於零售體驗的關鍵領域,從產品推薦到無人商店。人工智慧為零售商提供了巨大的機會,包括獲得更深入的客戶洞察、最佳化營運和庫存以及提供更個人化的體驗。先進的演算法正在為電腦視覺等新技術提供動力,使人工智慧系統能夠看到並理解視覺輸入。這使得創新應用成為可能,從看到並理解消費者需求的虛擬助理到無人商店。人工智慧正在引領超個人化互動、客製化產品推薦和無摩擦購物體驗的新時代。

市場動態:

全球零售人工智慧市場的成長是由對個人化購物體驗、用於降低風險和最佳化業務的預測分析以及自動化重複任務以提高生產力的需求不斷成長所推動的。然而,實施先進人工智慧技術的高昂成本和熟練人才的缺乏阻礙了其更快的採用。關鍵機會包括利用電腦視覺進行視覺搜尋、虛擬/擴增實境零售和無人商店等應用。邊緣運算等技術進步也推動了人工智慧的採用,即使連接有限,邊緣運算也支援進階分析。零售巨頭正在大力投資開發創新人工智慧解決方案的新興企業,以提高競爭力並改善客戶體驗。

本研究的主要特點

本報告對全球零售業人工智慧市場進行了詳細分析,並提供了以2023年為基準年的預測期(2024-2031年)的市場規模和年複合成長率(CAGR%)。

它還揭示了各個細分市場的潛在商機,並說明了該市場有吸引力的投資提案矩陣。

它還提供了有關市場促進因素、限制因素、機會、新產品發布和核准、市場趨勢、區域前景、主要企業採取的競爭策略等的主要考察。

它根據公司亮點、產品系列、主要亮點、財務表現和策略等參數,介紹了全球零售市場人工智慧的主要企業。

本研究涵蓋的主要企業包括AdAdobe、阿里巴巴集團、Amazon Web Services (AWS)、Apple、Appier、Ceconomy、Edeka、Foot Locker、Home Depot、IBM、Kroger、Lemon AI、Lowe's、Microsoft、NIKE 等。

該報告的見解使負責人和公司經營團隊能夠就未來的產品發布、類型升級、市場擴張和行銷策略做出明智的決策。

本研究報告針對該產業的各個相關人員,如投資者、供應商、產品製造商、經銷商、新進業者和財務分析師。

相關人員可以透過用於分析全球零售人工智慧市場的各種策略矩陣來促進決策。

目錄

第1章 研究目的與前提

  • 研究目的
  • 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、法規與趨勢分析

  • 市場動態
    • 促進因素
    • 抑制因素
    • 市場機會
  • 監管場景
  • 產業動態
  • 併購
  • 新系統的引入/核准
  • COVID-19 大流行的影響

第4章全球零售業人工智慧市場(按技術),2019-2031

  • 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章全球零售業人工智慧市場(按應用),2019-2031

  • 個性化推薦
  • 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 全球零售業人工智慧市場(依最終用戶分類),2019-2031 年

  • 電子商務
  • 實體店面
  • 批發商

第7章 全球零售市場人工智慧,按地區分類,2019-2031

  • 北美洲
  • 歐洲
  • 亞太地區
  • 拉丁美洲
  • 中東
  • 非洲

第8章 競爭格局

  • 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

第10章調查方法

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

The Global Artificial Intelligence in Retail Market is estimated to be valued at USD 10.48 Bn in 2024 and is expected to reach USD 73.02 Bn by 2031, exhibiting a compound annual growth rate (CAGR) of 32% from 2024 to 2031.

Report Coverage Report Details
Base Year: 2023 Market Size in 2024: US$ 10.48 Bn
Historical Data for: 2019 to 2023 Forecast Period: 2024 to 2031
Forecast Period 2024 to 2031 CAGR: 32.00% 2031 Value Projection: US$ 73.02 Bn
Figure. Artificial Intelligence in Retail Market Share (%), By Region, 2024
Artificial Intelligence in Retail Market - IMG1

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:

This report provides in-depth analysis of the global artificial intelligence in retail market, and provides market size (US$ Bn) and compound annual growth rate (CAGR%) for the forecast period (2024-2031), considering 2023 as the base year

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.

Detailed Segmentation-

  • By Technology Insights (Revenue, USD Bn, 2019 - 2031)
    • Machine Learning
    • Natural Language Processing (NLP)
    • Computer Vision
    • Robotic Process Automation (RPA)
  • By Application Insights (Revenue, USD Bn, 2019 - 2031)
    • Personalized Recommendations
    • Inventory Management
    • Customer Service Chatbots
    • Fraud Detection
    • Pricing Optimization
  • By End User Insights (Revenue, USD Bn, 2019 - 2031)
    • E-commerce
    • Brick-and-Mortar Stores
    • Wholesalers
  • By Regional Insights (Revenue, USD Bn, 2019 - 2031)
    • 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
  • Impact of COVID-19 Pandemic

4. Global Artificial Intelligence in Retail Market, By Technology, 2019-2031, (USD Bn)

  • Introduction
    • Market Share Analysis, 2024 and 2031 (%)
    • Y-o-Y Growth Analysis, 2020-2031
    • Segment Trends
  • Machine Learning
    • Introduction
    • Market Size and Forecast, 2019-2031, (USD Bn)
  • Natural Language Processing (NLP)
    • Introduction
    • Market Size and Forecast, 2019-2031, (USD Bn)
  • Computer Vision
    • Introduction
    • Market Size and Forecast, 2019-2031, (USD Bn)
  • Robotic Process Automation (RPA)
    • Introduction
    • Market Size and Forecast, 2019-2031, (USD Bn)

5. Global Artificial Intelligence in Retail Market, By Application, 2019-2031, (USD Bn)

  • Introduction
    • Market Share Analysis, 2024 and 2031 (%)
    • Y-o-Y Growth Analysis, 2020-2031
    • Segment Trends
  • Personalized Recommendations
    • Introduction
    • Market Size and Forecast, 2019-2031, (USD Bn)
  • Inventory Management
    • Introduction
    • Market Size and Forecast, 2019-2031, (USD Bn)
  • Customer Service Chatbots
    • Introduction
    • Market Size and Forecast, 2019-2031, (USD Bn)
  • Fraud Detection
    • Introduction
    • Market Size and Forecast, 2019-2031, (USD Bn)
  • Pricing Optimization
    • Introduction
    • Market Size and Forecast, 2019-2031, (USD Bn)

6. Global Artificial Intelligence in Retail Market, By End User, 2019-2031, (USD Bn)

  • Introduction
    • Market Share Analysis, 2024 and 2031 (%)
    • Y-o-Y Growth Analysis, 2020-2031
    • Segment Trends
  • E-commerce
    • Introduction
    • Market Size and Forecast, 2019-2031, (USD Bn)
  • Brick-and-Mortar Stores
    • Introduction
    • Market Size and Forecast, 2019-2031, (USD Bn)
  • Wholesalers
    • Introduction
    • Market Size and Forecast, 2019-2031, (USD Bn)

7. Global Artificial Intelligence in Retail Market, By Region, 2019-2031, (USD Bn)

  • Introduction
    • Market Share Analysis, By Region, 2024 and 2031 (%)
    • Y-o-Y Growth Analysis, 2020-2031
  • North America
    • Regional Trends
    • Market Size and Forecast, By Technology, 2019-2031, (USD Bn)
    • Market Size and Forecast, By Application, 2019-2031, (USD Bn)
    • Market Size and Forecast, By End User, 2019-2031, (USD Bn)
    • Market Size and Forecast, By Country, 2019-2031, (USD Bn)
      • U.S.
      • Canada
  • Europe
    • Regional Trends
    • Market Size and Forecast, By Technology, 2019-2031, (USD Bn)
    • Market Size and Forecast, By Application, 2019-2031, (USD Bn)
    • Market Size and Forecast, By End User, 2019-2031, (USD Bn)
    • Market Size and Forecast, By Country, 2019-2031, (USD Bn)
      • Germany
      • U.K.
      • Spain
      • France
      • Italy
      • Russia
      • Rest of Europe
  • Asia Pacific
    • Regional Trends
    • Market Size and Forecast, By Technology, 2019-2031, (USD Bn)
    • Market Size and Forecast, By Application, 2019-2031, (USD Bn)
    • Market Size and Forecast, By End User, 2019-2031, (USD Bn)
    • Market Size and Forecast, By Country, 2019-2031, (USD Bn)
      • China
      • India
      • Japan
      • ASEAN
      • Australia
      • South Korea
      • Rest of Asia Pacific
  • Latin America
    • Regional Trends
    • Market Size and Forecast, By Technology, 2019-2031, (USD Bn)
    • Market Size and Forecast, By Application, 2019-2031, (USD Bn)
    • Market Size and Forecast, By End User, 2019-2031, (USD Bn)
    • Market Size and Forecast, By Country, 2019-2031, (USD Bn)
      • Brazil
      • Argentina
      • Mexico
      • Rest of Latin America
  • Middle East
    • Regional Trends
    • Market Size and Forecast, By Technology, 2019-2031, (USD Bn)
    • Market Size and Forecast, By Application, 2019-2031, (USD Bn)
    • Market Size and Forecast, By End User, 2019-2031, (USD Bn)
    • Market Size and Forecast, By Country, 2019-2031, (USD Bn)
      • Israel
      • GCC Countries
      • Rest of the Middle East
  • Africa
    • Regional Trends
    • Market Size and Forecast, By Technology, 2019-2031, (USD Bn)
    • Market Size and Forecast, By Application, 2019-2031, (USD Bn)
    • Market Size and Forecast, By End User, 2019-2031, (USD Bn)
    • Market Size and Forecast, By Country, 2019-2031, (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
    • Home Depot
    • IBM
    • Kroger
    • Lemon AI
    • Lowe's
    • Microsoft
    • NIKE

9. Analyst Recommendations

  • Wheel of Fortune
  • Analyst View
  • Coherent Opportunity Map

10. Research Methodology

  • References
  • Research Methodology
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