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小売業における人工知能（AI）の世界市場 - 市場規模、シェア、動向分析、機会、予測：提供別、技術別、用途別、地域別（2019年～2029年）

Artificial Intelligence in Retail Market - Global Size, Share, Trend Analysis, Opportunity and Forecast Report, 2019-2029, Segmented By Offerings ; By Technology ; By Application ; By Region
出版日: | 発行: Blueweave Consulting | ページ情報: 英文 400 Pages | 納期: 2～3営業日

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本日の銀行送金レート: 1USD=156.76円
小売業における人工知能（AI）の世界市場 - 市場規模、シェア、動向分析、機会、予測：提供別、技術別、用途別、地域別（2019年～2029年）
出版日: 2023年04月10日
発行: Blueweave Consulting
ページ情報: 英文 400 Pages
納期: 2～3営業日
  • 全表示
  • 概要
  • 目次
概要

世界の小売業における人工知能（AI）の市場規模は、2022年の62億1,000万米ドルから、2029年までに393億5,000万米ドルに達し、2023年～2029年の間の予測期間中に30.33%の安定したCAGRでの成長が予測されています。

インターネットユーザー・スマートデバイス利用の拡大、AI・ビッグデータ・アナリティクスに対する意識の高まり、デジタル化を推進する政府の取り組みなどが、世界の小売業における人工知能（AI）市場の主要な成長要因です。しかし、特に中小規模の小売業者にとっては、AIソリューション関連の導入コスト・メンテナンスコストが高く、それが分析期間中の市場全体の成長を妨げる見込みです。

当レポートでは、世界の小売業における人工知能（AI）市場について調査分析し、市場洞察、セグメント別・地域別の市場分析、競合情勢、主要企業のプロファイルなど、体系的な情報を提供しています。

目次

第1章 調査の枠組み

第2章 エグゼクティブサマリー

第3章 世界の小売業における人工知能（AI）市場の洞察

  • 業界バリューチェーン分析
  • DROC分析
    • 促進要因
    • 抑制要因
    • 機会
    • 課題
  • 技術進歩/最近の開発
  • 規制の枠組み
  • ポーターのファイブフォース分析

第4章 世界の小売業における人工知能（AI）市場概要

  • 市場規模と予測（2019年～2029年）
    • 金額別
  • 市場シェアと予測
    • 提供別
      • ソリューション
      • サービス
    • 技術別
      • 機械学習
      • 自然言語処理（NLP）
      • コンピュータビジョン
    • 用途別
      • 自動マーチャンダイジング
      • プログラマティック広告
      • 市場予測
      • インストアAI・ロケーション最適化
      • データサイエンス
    • 地域別
      • 北米
      • 欧州
      • アジア太平洋（APAC）
      • ラテンアメリカ（LATAM）
      • 中東・アフリカ（MEA）

第5章 北米の小売業における人工知能（AI）市場

  • 市場規模と予測（2019年～2029年）
    • 金額別
  • 市場シェアと予測
    • 提供別
    • 技術別
    • 用途別
    • 国別
      • 米国
      • カナダ

第6章 欧州の小売業における人工知能（AI）市場

  • 市場規模と予測（2019年～2029年）
    • 金額別
  • 市場シェアと予測
    • 提供別
    • 技術別
    • 用途別
    • 国別
      • ドイツ
      • 英国
      • イタリア
      • フランス
      • スペイン
      • ベルギー
      • ロシア
      • オランダ
      • その他欧州

第7章 アジア太平洋の小売業における人工知能（AI）市場

  • 市場規模と予測（2019年～2029年）
    • 金額別
  • 市場シェアと予測
    • 提供別
    • 技術別
    • 用途別
    • 国別
      • 中国
      • インド
      • 日本
      • 韓国
      • オーストラリア・ニュージーランド
      • インドネシア
      • マレーシア
      • シンガポール
      • ベトナム
      • その他アジア太平洋

第8章 ラテンアメリカの小売業における人工知能（AI）市場

  • 市場規模と予測（2019年～2029年）
    • 金額別
  • 市場シェアと予測
    • 提供別
    • 技術別
    • 用途別
    • 国別
      • ブラジル
      • メキシコ
      • アルゼンチン
      • ペルー
      • その他ラテンアメリカ

第9章 中東・アフリカの小売業における人工知能（AI）市場

  • 市場規模と予測（2019年～2029年）
    • 金額別
  • 市場シェアと予測
    • 提供別
    • 技術別
    • 用途別
    • 国別
      • サウジアラビア
      • アラブ首長国連邦
      • カタール
      • クウェート
      • 南アフリカ
      • ナイジェリア
      • アルジェリア
      • その他中東・アフリカ

第10章 競合情勢

  • 主要企業・製品一覧
  • 小売業における人工知能（AI）市場シェア分析（2022年）
  • 競合ベンチマーク：操作パラメータ別
  • 主要な戦略的展開（合併・買収・提携など）

第11章 世界の小売業における人工知能（AI）市場に対するCOVID-19の影響

第12章 企業プロファイル（企業概要、財務マトリックス、競合情勢、主要な人材、主要な競合、連絡先、戦略的展望、SWOT分析）

  • IBM Corporation
  • Amazon Web Services, Inc.
  • Microsoft Corporation
  • Salesforce.com, Inc.
  • Symphony RetailAI
  • RetailNext
  • Oracle Corporation
  • Infosys Limited
  • HCL Technologies Limited
  • Manthan Software Services Pvt. Ltd.
  • Capillary Technologies
  • Numenta
  • Sentient Technologies Holdings Limited
  • その他

第13章 主要な戦略的推奨事項

第14章 調査手法

目次
Product Code: BWC23281

Global Artificial Intelligence (AI) in Retail Market Size Zooming More Than 6X to Touch USD 39.4 Billion by 2029

Global artificial intelligence (AI) in retail market is flourishing because of increasing advancements in AI technology, a growing demand for personalized shopping experiences, and increasing competition among retailers.

BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated global artificial intelligence (AI) in retail market size at USD 6.21 billion in 2022. During the forecast period between 2023 and 2029, BlueWeave expects global artificial intelligence (AI) in retail market size to grow at a robust CAGR of 30.33% reaching a value of USD 39.35 billion by 2029. Major growth factors of global artificial intelligence (AI) in retail market include growing number of internet users and smart device usage, heightened awareness of AI, big data, and analytics, and government efforts to promote digitization. Also, the adoption of omnichannel retailing tactics, unexplored prospects for boosting sales efficiency, the drive for enterprises to streamline their business processes, and the desire to improve end-user experience and capitalize on market trends are all contributing to the expansion of the global artificial intelligence in retail market. However, high implementation and maintenance costs associated with AI solutions, particularly for small and medium-sized retailers, are anticipated to restrain the overall market growth during the period in analysis.

Global Artificial Intelligence (AI) in Retail Market - Overview

Global artificial intelligence (AI) in retail market refers to the application of advanced technologies, such as machine learning (ML), natural language processing (NLP), and computer vision, to improve the efficiency, accuracy, and effectiveness of various retail operations. The use of AI in the retail industry enables retailers to gain insights into consumer behavior and preferences, optimize inventory and supply chain management, enhance customer engagement, and deliver personalized shopping experiences. The market encompasses AI-powered software, platforms, and services designed to automate and streamline retail operations, including sales forecasting, inventory management, demand planning, customer service, and marketing. The AI in retail market is witnessing significant growth, due to the increasing adoption of advanced technologies, the proliferation of e-commerce, and the growing demand for innovative retail solutions that enhance productivity, profitability, and customer satisfaction.

Impact of COVID-19 on Global Artificial Intelligence (AI) in Retail Market

COVID-19 had a negative impact on the global economy, causing governments to shut down retail operations and import-export activities, disrupting supply chains. The pandemic has also resulted in significant changes in consumer behavior and product demand, affecting retail stores, factories, and logistics services. Many non-essential businesses have temporarily closed, leaving only food and grocery stores and pharmacies open, greatly impacting brick-and-mortar retail stores. Consequently, online shopping channels have become more significant, prompting retailers to adopt sustainability initiatives that integrate with their digital presence. As a result, organizations in the retail sector are increasingly using AI solutions to improve their operations and meet customer demands. They are employing online platforms to provide personalized customer engagement, inventory management, supply chain management, programmatic advertising, smart recommendations, and chatbots. The COVID-19 crisis has also allowed leading retail players to restructure and revisit their existing strategies and product portfolios. However, the situation is constantly evolving, and companies in this market are adapting to this new reality and planning for various scenarios.

Global Artificial Intelligence (AI) in Retail Market - By Technology

Based on technology, global artificial intelligence (AI) in retail market is segmented into Machine Learning (ML), Natural Language Processing (NLP), and Computer Vision. The machine learning segment dominates the global artificial intelligence (AI) in retail market. Machine learning is capable of swiftly analyzing large volumes of data and can provide personalized experiences to customers, making it a valuable tool for retailers. It can also enhance supply chain systems and demand forecasts, leading to improved inventory efficiency. For instance, Amazon SageMaker, a fully-managed service offered by Amazon Inc., utilizes ML for various applications, ranging from predictive analytics to improving the customer experience. The NLP segment is expected to witness significant growth during the forecast period. The increasing demand for AI-powered chatbots and the rise of data analysis are expected to drive advancements in NLP. NLP-powered chatbots can improve customer interactions, including mobile interfaces and touchscreen, providing a more interactive and engaging experience. Additionally, NLP can aid in sentiment analysis for evaluating call center interactions, customer messages, social media posts, and online reviews.

Competitive Landscape

Major players operating in global artificial intelligence (AI) in retail market include IBM Corporation, Amazon Web Services, Inc., Microsoft Corporation, Salesforce.com, Inc., Symphony RetailAI, RetailNext, Oracle Corporation, Infosys Limited, HCL Technologies Limited, Manthan Software Services Pvt. Ltd., Capillary Technologies, Numenta, and Sentient Technologies Holdings Limited. To further enhance their market share, these companies employ various strategies, including mergers and acquisitions, partnerships, joint ventures, license agreements, and new product launches.

The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics of Global Artificial Intelligence (AI) in Retail Market. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends in Global Artificial Intelligence (AI) in Retail Market and industry insights to help decision-makers make sound strategic decisions. Furthermore, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.

Table of Contents

1. Research Framework

  • 1.1. Research Objective
  • 1.2. Product Overview
  • 1.3. Market Segmentation

2. Executive Summary

3. Global Artificial Intelligence (AI) in Retail Market Insights

  • 3.1. Industry Value Chain Analysis
  • 3.2. DROC Analysis
    • 3.2.1. Growth Drivers
      • 3.2.1.1. Growing demand for personalized shopping experiences and increasing competition among retailers
      • 3.2.1.2. Advancements in AI technology, that enable retailers to analyze and interpret large volumes of data more accurately and efficiently
    • 3.2.2. Restraints
      • 3.2.2.1. High implementation and maintenance costs associated with AI solutions, particularly for small and mid-sized retailers
    • 3.2.3. Opportunities
      • 3.2.3.1. Increasing adoption of cloud-based AI solutions and the emergence of AI-as-a-service models that make AI more accessible to small and mid-sized retailers
      • 3.2.3.2. Growth in e-commerce and omnichannel retailing, which provide new opportunities for retailers to leverage AI to enhance customer experiences
    • 3.2.4. Challenges
      • 3.2.4.1. Competition and consolidation within the AI market
  • 3.3. Technology Advancements/Recent Developments
  • 3.4. Regulatory Framework
  • 3.5. Porter's Five Forces Analysis
    • 3.5.1. Bargaining Power of Suppliers
    • 3.5.2. Bargaining Power of Buyers
    • 3.5.3. Threat of New Entrants
    • 3.5.4. Threat of Substitutes
    • 3.5.5. Intensity of Rivalry

4. Global Artificial Intelligence (AI) in Retail Market Overview

  • 4.1. Market Size & Forecast, 2019-2029
    • 4.1.1. By Value (USD Million)
  • 4.2. Market Share and Forecast
    • 4.2.1. By Offerings
      • 4.2.1.1. Solution
      • 4.2.1.2. Service
    • 4.2.2. By Technology
      • 4.2.2.1. Machine Learning
      • 4.2.2.2. Natural Language Processing (NLP)
      • 4.2.2.3. Computer Vision
    • 4.2.3. By Application
      • 4.2.3.1. Automated Merchandising
      • 4.2.3.2. Programmatic Advertising
      • 4.2.3.3. Market Forecasting
      • 4.2.3.4. In-Store AI & Location Optimization
      • 4.2.3.5. Data Science
    • 4.2.4. By Region
      • 4.2.4.1. North America
      • 4.2.4.2. Europe
      • 4.2.4.3. Asia Pacific (APAC)
      • 4.2.4.4. Latin America (LATAM)
      • 4.2.4.5. Middle East and Africa (MEA)

5. North America Artificial Intelligence (AI) in Retail Market

  • 5.1. Market Size & Forecast, 2019-2029
    • 5.1.1. By Value (USD Million)
  • 5.2. Market Share & Forecast
    • 5.2.1. By Offerings
    • 5.2.2. By Technology
    • 5.2.3. By Application
    • 5.2.4. By Country
      • 5.2.4.1. United States
      • 5.2.4.1.1. By Offerings
      • 5.2.4.1.2. By Technology
      • 5.2.4.1.3. By Application
      • 5.2.4.2. Canada
      • 5.2.4.2.1. By Offerings
      • 5.2.4.2.2. By Technology
      • 5.2.4.2.3. By Application

6. Europe Artificial Intelligence (AI) in Retail Market

  • 6.1. Market Size & Forecast, 2019-2029
    • 6.1.1. By Value (USD Million)
  • 6.2. Market Share & Forecast
    • 6.2.1. By Offerings
    • 6.2.2. By Technology
    • 6.2.3. By Application
    • 6.2.4. By Country
      • 6.2.4.1. Germany
      • 6.2.4.1.1. By Offerings
      • 6.2.4.1.2. By Technology
      • 6.2.4.1.3. By Application
      • 6.2.4.2. United Kingdom
      • 6.2.4.2.1. By Offerings
      • 6.2.4.2.2. By Technology
      • 6.2.4.2.3. By Application
      • 6.2.4.3. Italy
      • 6.2.4.3.1. By Offerings
      • 6.2.4.3.2. By Technology
      • 6.2.4.3.3. By Application
      • 6.2.4.4. France
      • 6.2.4.4.1. By Offerings
      • 6.2.4.4.2. By Technology
      • 6.2.4.4.3. By Application
      • 6.2.4.5. Spain
      • 6.2.4.5.1. By Offerings
      • 6.2.4.5.2. By Technology
      • 6.2.4.5.3. By Application
      • 6.2.4.6. Belgium
      • 6.2.4.6.1. By Offerings
      • 6.2.4.6.2. By Technology
      • 6.2.4.6.3. By Application
      • 6.2.4.7. Russia
      • 6.2.4.7.1. By Offerings
      • 6.2.4.7.2. By Technology
      • 6.2.4.7.3. By Application
      • 6.2.4.8. The Netherlands
      • 6.2.4.8.1. By Offerings
      • 6.2.4.8.2. By Technology
      • 6.2.4.8.3. By Application
      • 6.2.4.9. Rest of Europe
      • 6.2.4.9.1. By Offerings
      • 6.2.4.9.2. By Technology
      • 6.2.4.9.3. By Application

7. Asia-Pacific Artificial Intelligence (AI) in Retail Market

  • 7.1. Market Size & Forecast, 2019-2029
    • 7.1.1. By Value (USD Million)
  • 7.2. Market Share & Forecast
    • 7.2.1. By Offerings
    • 7.2.2. By Technology
    • 7.2.3. By Application
    • 7.2.4. By Country
      • 7.2.4.1. China
      • 7.2.4.1.1. By Offerings
      • 7.2.4.1.2. By Technology
      • 7.2.4.1.3. By Application
      • 7.2.4.2. India
      • 7.2.4.2.1. By Offerings
      • 7.2.4.2.2. By Technology
      • 7.2.4.2.3. By Application
      • 7.2.4.3. Japan
      • 7.2.4.3.1. By Offerings
      • 7.2.4.3.2. By Technology
      • 7.2.4.3.3. By Application
      • 7.2.4.4. South Korea
      • 7.2.4.4.1. By Offerings
      • 7.2.4.4.2. By Technology
      • 7.2.4.4.3. By Application
      • 7.2.4.5. Australia & New Zealand
      • 7.2.4.5.1. By Offerings
      • 7.2.4.5.2. By Technology
      • 7.2.4.5.3. By Application
      • 7.2.4.6. Indonesia
      • 7.2.4.6.1. By Offerings
      • 7.2.4.6.2. By Technology
      • 7.2.4.6.3. By Application
      • 7.2.4.7. Malaysia
      • 7.2.4.7.1. By Offerings
      • 7.2.4.7.2. By Technology
      • 7.2.4.7.3. By Application
      • 7.2.4.8. Singapore
      • 7.2.4.8.1. By Offerings
      • 7.2.4.8.2. By Technology
      • 7.2.4.8.3. By Application
      • 7.2.4.9. Vietnam
      • 7.2.4.9.1. By Offerings
      • 7.2.4.9.2. By Technology
      • 7.2.4.9.3. By Application
      • 7.2.4.10. Rest of APAC
      • 7.2.4.10.1. By Offerings
      • 7.2.4.10.2. By Technology
      • 7.2.4.10.3. By Application

8. Latin America Artificial Intelligence (AI) in Retail Market

  • 8.1. Market Size & Forecast, 2019-2029
    • 8.1.1. By Value (USD Million)
  • 8.2. Market Share & Forecast
    • 8.2.1. By Offerings
    • 8.2.2. By Technology
    • 8.2.3. By Application
    • 8.2.4. By Country
      • 8.2.4.1. Brazil
      • 8.2.4.1.1. By Offerings
      • 8.2.4.1.2. By Technology
      • 8.2.4.1.3. By Application
      • 8.2.4.2. Mexico
      • 8.2.4.2.1. By Offerings
      • 8.2.4.2.2. By Technology
      • 8.2.4.2.3. By Application
      • 8.2.4.3. Argentina
      • 8.2.4.3.1. By Offerings
      • 8.2.4.3.2. By Technology
      • 8.2.4.3.3. By Application
      • 8.2.4.4. Peru
      • 8.2.4.4.1. By Offerings
      • 8.2.4.4.2. By Technology
      • 8.2.4.4.3. By Application
      • 8.2.4.5. Rest of LATAM
      • 8.2.4.5.1. By Offerings
      • 8.2.4.5.2. By Technology
      • 8.2.4.5.3. By Application

9. Middle East & Africa Artificial Intelligence (AI) in Retail Market

  • 9.1. Market Size & Forecast, 2019-2029
    • 9.1.1. By Value (USD Million)
  • 9.2. Market Share & Forecast
    • 9.2.1. By Offerings
    • 9.2.2. By Technology
    • 9.2.3. By Application
    • 9.2.4. By Country
      • 9.2.4.1. Saudi Arabia
      • 9.2.4.1.1. By Offerings
      • 9.2.4.1.2. By Technology
      • 9.2.4.1.3. By Application
      • 9.2.4.2. UAE
      • 9.2.4.2.1. By Offerings
      • 9.2.4.2.2. By Technology
      • 9.2.4.2.3. By Application
      • 9.2.4.3. Qatar
      • 9.2.4.3.1. By Offerings
      • 9.2.4.3.2. By Technology
      • 9.2.4.3.3. By Application
      • 9.2.4.4. Kuwait
      • 9.2.4.4.1. By Offerings
      • 9.2.4.4.2. By Technology
      • 9.2.4.4.3. By Application
      • 9.2.4.5. South Africa
      • 9.2.4.5.1. By Offerings
      • 9.2.4.5.2. By Technology
      • 9.2.4.5.3. By Application
      • 9.2.4.6. Nigeria
      • 9.2.4.6.1. By Offerings
      • 9.2.4.6.2. By Technology
      • 9.2.4.6.3. By Application
      • 9.2.4.7. Algeria
      • 9.2.4.7.1. By Offerings
      • 9.2.4.7.2. By Technology
      • 9.2.4.7.3. By Application
      • 9.2.4.8. Rest of MEA
      • 9.2.4.8.1. By Offerings
      • 9.2.4.8.2. By Technology
      • 9.2.4.8.3. By Application

10. Competitive Landscape

  • 10.1. List of Key Players and Their Offerings
  • 10.2. Global Artificial Intelligence (AI) in Retail Market Share Analysis, 2022
  • 10.3. Competitive Benchmarking, By Operating Parameters
  • 10.4. Key Strategic Developments (Mergers, Acquisitions, Partnerships, etc.)

11. Impact of Covid-19 on Global Artificial Intelligence (AI) in Retail Market

12. Company Profile (Company Overview, Financial Matrix, Competitive Landscape, Key Personnel, Key Competitors, Contact Address, Strategic Outlook, SWOT Analysis)

  • 12.1. IBM Corporation
  • 12.2. Amazon Web Services, Inc.
  • 12.3. Microsoft Corporation
  • 12.4. Salesforce.com, Inc.
  • 12.5. Symphony RetailAI
  • 12.6. RetailNext
  • 12.7. Oracle Corporation
  • 12.8. Infosys Limited
  • 12.9. HCL Technologies Limited
  • 12.10. Manthan Software Services Pvt. Ltd.
  • 12.11. Capillary Technologies
  • 12.12. Numenta
  • 12.13. Sentient Technologies Holdings Limited
  • 12.14. Other Prominent Players

13. Key Strategic Recommendations

14. Research Methodology

  • 14.1. Qualitative Research
    • 14.1.1. Primary & Secondary Research
  • 14.2. Quantitative Research
  • 14.3. Market Breakdown & Data Triangulation
    • 14.3.1. Secondary Research
    • 14.3.2. Primary Research
  • 14.4. Breakdown of Primary Research Respondents, By Region
  • 14.5. Assumptions & Limitations