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1687529

小売業における人工知能(AI)市場規模、シェア、成長分析:コンポーネント別、技術別、販売チャネル別、用途別、地域別 - 産業予測 2025~2032年

Artificial Intelligence (AI) in Retail Market Size, Share, and Growth Analysis, By Component (Solution, Service), By Technology (Machine Learning, Natural Language Processing), By Sales Channel, By Application, By Region - Industry Forecast 2025-2032


出版日
発行
SkyQuest
ページ情報
英文 252 Pages
納期
3~5営業日
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.06円
小売業における人工知能(AI)市場規模、シェア、成長分析:コンポーネント別、技術別、販売チャネル別、用途別、地域別 - 産業予測 2025~2032年
出版日: 2025年03月17日
発行: SkyQuest
ページ情報: 英文 252 Pages
納期: 3~5営業日
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  • 概要
  • 目次
概要

小売業における人工知能(AI)市場規模は2023年に80億米ドルと評価され、2024年の106億6,000万米ドルから2032年には1,055億9,000万米ドルに成長し、予測期間中(2025年~2032年)のCAGRは33.2%で成長する見通しです。

小売業界では、顧客のショッピング体験の向上と小売情勢のデジタル変革の進行に強く注目しており、人工知能(AI)の導入が進んでいます。この変化は、小売企業が効率性と収益性の向上を目指す中で、AIプロバイダーに大きな成長機会をもたらしています。AI技術を活用することで、小売企業は生のデータを効率的に分析し、情報に基づいた意思決定のための貴重な洞察を導き出すことができます。しかし、市場の拡大は、既存のレガシーシステムとAIを統合する際の課題、データプライバシーを取り巻く懸念、導入に伴う高コストといった障害に直面しています。小売業におけるAIの統合を成功させ、その潜在的な効果を最大化するためには、こうした課題に対処することが重要になります。

目次

イントロダクション

  • 調査の目的
  • 調査範囲
  • 定義

調査手法

  • 情報調達
  • 二次と一次データの方法
  • 市場規模予測
  • 市場の前提条件と制限

エグゼクティブサマリー

  • 世界市場の見通し
  • 供給と需要の動向分析
  • セグメント別機会分析

市場力学と見通し

  • 市場概要
  • 市場規模
  • 市場力学
    • 促進要因と機会
    • 抑制要因と課題
  • ポーターの分析

主な市場の考察

  • 重要成功要因
  • 競合の程度
  • 主な投資機会
  • 市場エコシステム
  • 市場の魅力指数(2024年)
  • PESTEL分析
  • マクロ経済指標
  • バリューチェーン分析
  • 価格分析

小売業における人工知能(AI)市場規模:コンポーネント別& CAGR(2025-2032)

  • 市場概要
  • ソリューション
  • サービス

小売業における人工知能(AI)市場規模:技術別& CAGR(2025-2032)

  • 市場概要
  • 機械学習
  • 自然言語処理
  • チャットボット
  • 画像とビデオの分析
  • 群知能

小売業における人工知能(AI)市場規模:販売チャネル別& CAGR(2025-2032)

  • 市場概要
  • オムニチャネル
  • 実店舗
  • 純粋なオンライン小売業者

小売業における人工知能(AI)市場規模:用途別& CAGR(2025-2032)

  • 市場概要
  • 顧客関係管理(CRM)
  • サプライチェーンと物流
  • 在庫管理
  • 製品の最適化
  • 店内ナビゲーション
  • 支払いと価格分析
  • バーチャルアシスタント
  • その他

小売業における人工知能(AI)市場規模:地域別& CAGR(2025-2032)

  • 北米
    • 米国
    • カナダ
  • 欧州
    • ドイツ
    • スペイン
    • フランス
    • 英国
    • イタリア
    • その他欧州地域
  • アジア太平洋地域
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • ラテンアメリカ
    • ブラジル
    • その他ラテンアメリカ地域
  • 中東・アフリカ
    • GCC諸国
    • 南アフリカ
    • その他中東・アフリカ

競合情報

  • 上位5社の比較
  • 主要企業の市場ポジショニング(2024年)
  • 主な市場企業が採用した戦略
  • 最近の市場動向
  • 企業の市場シェア分析(2024年)
  • 主要企業の企業プロファイル
    • 企業の詳細
    • 製品ポートフォリオ分析
    • 企業のセグメント別シェア分析
    • 収益の前年比比較(2022-2024)

主要企業プロファイル

  • Amazon.com, Inc.(USA)
  • Microsoft Corporation(USA)
  • Google LLC(USA)
  • IBM Corporation(USA)
  • Salesforce.com, Inc.(USA)
  • Oracle Corporation(USA)
  • SAP SE(Germany)
  • Adobe Inc.(USA)
  • NVIDIA Corporation(USA)
  • Intel Corporation(USA)
  • C3.ai(USA)
  • DataRobot, Inc.(USA)
  • SAS Institute Inc.(USA)
  • Sentient Technologies(USA)
  • Fractal Analytics(USA)
  • ViSenze(Singapore)
  • RichRelevance(USA)
  • Blue Yonder(USA)
  • Zebra Technologies Corporation(USA)
  • Alibaba Group(China)

結論と提言

目次
Product Code: SQMIG45C2052

Artificial Intelligence (AI) in Retail Market size was valued at USD 8.0 billion in 2023 and is poised to grow from USD 10.66 billion in 2024 to USD 105.59 billion by 2032, growing at a CAGR of 33.2% during the forecast period (2025-2032).

The retail industry is increasingly embracing Artificial Intelligence (AI), driven by a strong focus on enhancing the customer shopping experience and the ongoing digital transformation in the retail landscape. This shift presents significant growth opportunities for AI providers, as retailers look to boost efficiency and profitability. By leveraging AI technologies, retailers can effectively analyze raw data to derive valuable insights for informed decision-making. However, the market's expansion faces obstacles such as challenges in integrating AI with existing legacy systems, concerns surrounding data privacy, and the high costs associated with implementation. As the landscape evolves, addressing these challenges will be critical for the successful integration of AI in retail operations and maximizing its potential impact.

Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence (AI) In Retail market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Artificial Intelligence (AI) In Retail Market Segments Analysis

Global Artificial Intelligence (AI) in Retail Market is segmented by Component, Technology, Sales Channel, Application and region. Based on Component, the market is segmented into Solution and Service. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing, Chatbots, Image and Video Analytics and Swarm Intelligence. Based on Sales Channel, the market is segmented into Omnichannel, Brick and Mortar and Pure-play Online Retailers. Based on Application, the market is segmented intoCustomer Relationship Management(CRM), Supply Chain and Logistics, Inventory Management, Product Optimization, In-Store Navigation, Payment and Pricing Analytics, Virtual Assistant and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Artificial Intelligence (AI) In Retail Market

Retail companies worldwide are prioritizing the enhancement of operational efficiency and productivity to maintain their competitive edge. The integration of Artificial Intelligence (AI) tools and solutions is crucial for these organizations, as it enables them to gain valuable insights across various aspects of their business. Additionally, AI-driven automation streamlines retail operations, allowing companies to achieve their goals more effectively. By leveraging AI technology, retailers can optimize processes, improve decision-making, and ultimately enhance customer experiences, further solidifying their position in an increasingly competitive market.

Restraints in the Artificial Intelligence (AI) In Retail Market

The integration of artificial intelligence into traditional retail systems presents significant challenges that hinder market growth. This advanced technology often encounters compatibility issues with existing infrastructure, which can delay implementation and adoption. As a result, companies are required to prioritize the development of AI solutions that can seamlessly work alongside legacy systems. This necessity for compliance with older technologies can restrict innovation, making it a considerable restraint for the artificial intelligence in retail market. Consequently, the complexity of merging these modern solutions with traditional frameworks may slow down the progress and effectiveness of AI in enhancing retail operations.

Market Trends of the Artificial Intelligence (AI) In Retail Market

The Artificial Intelligence (AI) in Retail market is witnessing a remarkable trend towards hyper-personalization, driven by shifting consumer preferences that prioritize tailored shopping experiences. As retailers aim to foster deeper engagement and enhance brand loyalty, AI technologies are being leveraged to analyze customer data and deliver personalized recommendations, targeted discounts, and customized marketing strategies. This shift not only boosts customer satisfaction but also promotes repeat business, setting a new standard for retail interactions. As consumer expectations continue to escalate, adopting AI for personalization has become essential for retailers seeking a competitive edge, ultimately transforming the landscape of the retail industry.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Drivers & Opportunities
    • Restraints & Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2024
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis

Global Artificial Intelligence (AI) in Retail Market Size by Component & CAGR (2025-2032)

  • Market Overview
  • Solution
  • Service

Global Artificial Intelligence (AI) in Retail Market Size by Technology & CAGR (2025-2032)

  • Market Overview
  • Machine Learning
  • Natural Language Processing
  • Chatbots
  • Image and Video Analytics
  • Swarm Intelligence

Global Artificial Intelligence (AI) in Retail Market Size by Sales Channel & CAGR (2025-2032)

  • Market Overview
  • Omnichannel
  • Brick and Mortar
  • Pure-play Online Retailers

Global Artificial Intelligence (AI) in Retail Market Size by Application & CAGR (2025-2032)

  • Market Overview
  • Customer Relationship Management (CRM)
  • Supply Chain and Logistics
  • Inventory Management
  • Product Optimization
  • In-Store Navigation
  • Payment and Pricing Analytics
  • Virtual Assistant
  • Others

Global Artificial Intelligence (AI) in Retail Market Size & CAGR (2025-2032)

  • North America (Component, Technology, Sales Channel, Application)
    • US
    • Canada
  • Europe (Component, Technology, Sales Channel, Application)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Component, Technology, Sales Channel, Application)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Component, Technology, Sales Channel, Application)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Component, Technology, Sales Channel, Application)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2024
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2024
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

  • Amazon.com, Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Google LLC (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • IBM Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Salesforce.com, Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Oracle Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAP SE (Germany)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Adobe Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • NVIDIA Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Intel Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • C3.ai (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • DataRobot, Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAS Institute Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Sentient Technologies (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Fractal Analytics (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • ViSenze (Singapore)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • RichRelevance (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Blue Yonder (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Zebra Technologies Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Alibaba Group (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations