封面
市场调查报告书
商品编码
1567259

零售业人工智慧市场:按技术、按应用、按最终用户、按地区

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个工作天内

价格
简介目录

预计2024年零售业人工智慧的全球市场规模为104.8亿美元,预计到2031年将达到730.2亿美元,2024年至2031年的复合年增长率为32%。

报告范围 报告详情
基准年 2023年 2024年市场规模 104.8亿美元
实际资料 2019-2023 预测期 2024年至2031年
预测 2024-2031 年复合年增长率: 32.00% 2031年价值预测 730.2亿美元
图:2024 年按地区分類的人工智慧在零售业的市场占有率
零售市场的人工智慧-IMG1

人工智慧 (AI) 正在以前所未有的速度改变各行各业,零售业也不例外。人工智慧正在应用于零售体验的关键领域,从产品推荐到无人商店。人工智慧为零售商提供了巨大的机会,包括获得更深入的客户洞察、优化营运和库存以及提供更个人化的体验。先进的演算法正在为电脑视觉等新技术提供动力,使人工智慧系统能够看到并理解视觉输入。这使得创新应用成为可能,从看到并理解消费者需求的虚拟助理到无人商店。人工智慧正在引领超个人化互动、客製化产品推荐和无摩擦购物体验的新时代。

市场动态:

全球零售人工智慧市场的成长是由对个人化购物体验、用于降低风险和优化业务的预测分析以及自动化重复任务以提高生产力的需求不断增长所推动的。然而,实施先进人工智慧技术的高昂成本和熟练人才的缺乏阻碍了其更快的采用。关键机会包括利用电脑视觉进行视觉搜寻、虚拟/扩增实境零售和无人商店等应用。边缘运算等技术进步也推动了人工智慧的采用,即使连接有限,边缘运算也支援进阶分析。零售巨头正在大力投资开发创新人工智慧解决方案的新兴企业,以提高竞争力并改善客户体验。

本研究的主要特点

本报告对全球零售业人工智慧市场进行了详细分析,并提供了以2023年为基准年的预测期(2024-2031年)的市场规模和年复合成长率(CAGR%)。

它还揭示了各个细分市场的潜在商机,并说明了该市场有吸引力的投资提案矩阵。

它还提供了有关市场驱动因素、限制因素、机会、新产品发布和核准、市场趋势、区域前景、主要企业采取的竞争策略等的主要考察。

它根据公司亮点、产品系列、主要亮点、财务表现和策略等参数,介绍了全球零售市场人工智慧的主要企业。

本研究涵盖的主要企业包括AdAdobe、阿里巴巴集团、Amazon Web Services (AWS)、Apple、Appier、Ceconomy、Edeka、Foot Locker、Home Depot、IBM、Kroger、Lemon AI、Lowe's、Microsoft、NIKE 等。

该报告的见解使负责人和公司经营团队能够就未来的产品发布、类型升级、市场扩张和行销策略做出明智的决策。

本研究报告针对该产业的各个相关人员,如投资者、供应商、产品製造商、经销商、新进业者和财务分析师。

相关人员可以透过用于分析全球零售人工智慧市场的各种策略矩阵来促进决策。

目录

第一章 研究目的与前提

  • 研究目的
  • 先决条件
  • 简称

第二章 市场展望

  • 报告说明
    • 市场定义和范围
  • 执行摘要

第三章 市场动态、法规与趋势分析

  • 市场动态
    • 促进因素
    • 抑制因素
    • 市场机会
  • 监管场景
  • 产业动态
  • 併购
  • 新系统的引入/核准
  • COVID-19 大流行的影响

第四章全球零售业人工智慧市场(按技术),2019-2031

  • 机器学习
  • 自然语言处理(NLP)
  • 电脑视觉
  • 机器人流程自动化 (RPA)

第五章全球零售业人工智慧市场(按应用),2019-2031

  • 个性化推荐
  • 库存管理
  • 客户服务聊天机器人
  • 诈欺侦测
  • 价格优化

第六章 全球零售业人工智慧市场(依最终用户划分),2019-2031 年

  • 电子商务
  • 实体店面
  • 批发商

第七章 全球零售市场人工智慧,按地区划分,2019-2031

  • 北美洲
  • 欧洲
  • 亚太地区
  • 拉丁美洲
  • 中东
  • 非洲

第八章 竞争格局

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

第九章 分析师建议

第10章调查方法

  • 参考
  • 调查方法
简介目录
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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