查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1264040

零售業的人工智慧的全球市場 - 市場規模，佔有率，趨勢分析，機會，預測:各提供，各技術，各用途，各地區(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
出版日期: | 出版商: Blueweave Consulting | 英文 400 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

全球零售業的人工智慧的市場規模，從2022年的62億1,000萬美元，到2029年預計達到393億5,000萬美元，在2023年～2029年的預測期間內預計以30.33％穩定的年複合成長率成長。

網路用戶、智慧裝置利用的擴大，AI、巨量資料、分析的認識高漲，推動數位化的政府配合措施等，是全球零售業的人工智慧市場主要的成長因素。可是，尤其是中小規模的對零售業者來說，AI解決方案相關的引進成本、維修成本高，預計妨礙分析期間中的市場整體成長。

本報告提供全球零售業的人工智慧市場相關調查分析，市場洞察，各市場區隔、各地區的市場分析，競爭情形，主要企業的簡介等系統性資訊。

目錄

第1章 調查架構

第2章 摘要整理

第3章 全球零售業的人工智慧市場洞察

  • 產業價值鏈分析
  • DROC分析
    • 促進因素
    • 阻礙因素
    • 機會
    • 課題
  • 技術進步/最近的開發
  • 法律規範
  • 波特的五力分析

第4章 全球零售業的人工智慧市場概要

  • 市場規模與預測(2019年～2029年)
    • 各金額
  • 市場佔有率與預測
    • 各提供
      • 解決方案
      • 服務
    • 各技術
      • 機器學習
      • 自然語言處理(NLP)
      • 電腦視覺
    • 各用途
      • 自動商品行銷
      • 編程廣告
      • 市場預測
      • 店內AI、定位最佳化
      • 資料科學
    • 各地區
      • 北美
      • 歐洲
      • 亞太地區(APAC)
      • 南美(LATAM)
      • 中東、非洲(MEA)

第5章 北美的零售業的人工智慧市場

  • 市場規模與預測(2019年～2029年)
    • 各金額
  • 市場佔有率與預測
    • 各提供
    • 各技術
    • 各用途
    • 各國
      • 美國
      • 加拿大

第6章 歐洲的零售業的人工智慧市場

  • 市場規模與預測(2019年～2029年)
    • 各金額
  • 市場佔有率與預測
    • 各提供
    • 各技術
    • 各用途
    • 各國
      • 德國
      • 英國
      • 義大利
      • 法國
      • 西班牙
      • 比利時
      • 俄羅斯
      • 荷蘭
      • 其他歐洲

第7章 亞太地區的零售業的人工智慧市場

  • 市場規模與預測(2019年～2029年)
    • 各金額
  • 市場佔有率與預測
    • 各提供
    • 各技術
    • 各用途
    • 各國
      • 中國
      • 印度
      • 日本
      • 韓國
      • 澳洲、紐西蘭
      • 印尼
      • 馬來西亞
      • 新加坡
      • 越南
      • 其他亞太地區

第8章 南美的零售業的人工智慧市場

  • 市場規模與預測(2019年～2029年)
    • 各金額
  • 市場佔有率與預測
    • 各提供
    • 各技術
    • 各用途
    • 各國
      • 巴西
      • 墨西哥
      • 阿根廷
      • 秘魯
      • 其他南美國家

第9章 中東、非洲的零售業的人工智慧市場

  • 市場規模與預測(2019年～2029年)
    • 各金額
  • 市場佔有率與預測
    • 各提供
    • 各技術
    • 各用途
    • 各國
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 科威特
      • 南非
      • 奈及利亞
      • 阿爾及利亞
      • 其他中東、非洲

第10章 競爭情形

  • 主要企業、產品一覽
  • 零售業的人工智慧市場佔有率分析(2022年)
  • 競爭基準:各操作參數
  • 主要的策略性展開(合併、收購、聯盟等)

第11章 COVID-19對全球零售業的人工智慧市場的影響

第12章 企業簡介(企業概要，財務矩陣，競爭情形，主要的人力資源，主要的競爭，聯絡處，策略性展望，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
  • 其他

第13章 主要策略性推薦事項

第14章 調查手法

簡介目錄
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