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零售业人工智能

市场调查报告书

商品编码

1504873

零售人工智慧 (AI) 市场规模、份额和成长分析：按类型、按技术、按解决方案、按服务、按应用、按部署模式、按地区 - 行业预测，2024-2031 年

Artificial Intelligence in Retail Market Size, Share, Growth Analysis, By Type, By Technology, By Solution, By Service, By Application, By Deployment Mode, By Region - Industry Forecast 2024-2031

出版日期: 2024年06月24日 | 出版商:

SkyQuest | 英文 252 Pages | 商品交期: 3-5个工作天内

价格

简介目录

2022年零售人工智慧（AI）市场规模为55.9亿美元，预计2031年将达到712.3亿美元，而2023年为74.2亿美元，预计2031年将达到712.3亿美元。为32.68%）。

全球零售人工智慧（AI）市场正在经历重大变革时期，从根本上改变内部业务和客户参与。这个新兴市场的主要目标是利用创新解决方案实现流程自动化并大规模提供个人化服务，将零售商转变为技术主导的数位巨头。由于消费者对个人化提案和无缝浏览的渴望，对线上和线下客製化购物体验的需求不断增长，这促使零售商采用人工智慧驱动的解决方案。这些解决方案支援即时资料分析，并根据个人偏好和行为提供个人化的提案、见解和促销。电子商务的兴起和全通路零售的检验明确表明需要人工智慧技术来为电子商店提供动力、优化供应链物流并提供卓越的客户体验。儘管人工智慧在零售领域展现出巨大潜力，但各种阻碍因素仍阻碍其广泛应用。

市场概况
北美洲
- 美国
- 加拿大
欧洲
- 德国
- 西班牙
- 法国
- 英国
- 义大利
- 其他欧洲国家地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 其他亚太地区
拉丁美洲
- 巴西
- 其他拉丁美洲地区
中东和非洲 (MEA)
- 海湾合作委员会国家
- 南非
- 其他中东/非洲地区

竞争格局

前5名企业对比
主要企业市场定位（2023年）
主要市场参与者所采取的策略
近期市集活动
主要企业市场占有率（2023年）

主要企业简介

Amazon Web Services（AWS）（US）
Google LLC（US）
Microsoft Corporation（US）
IBM Corporation（US）
SAP SE（Germany）
Oracle Corporation（US）
Salesforce.com, Inc.（US）
Infosys Limited（India）
Capgemini SE（France）
Alibaba Group Holding Limited（China）
Baidu, Inc.（China）
HCL Technologies Limited（India）
Wipro Limited（India）
Tata Consultancy Services Limited（TCS）（India）
Accenture plc（Ireland）
Intel Corporation（US）
NVIDIA Corporation（US）
Cognizant Technology Solutions（US）
Fujitsu Limited（Japan）
Symphony RetailAI（US）

简介目录

Product Code: SQMIG45C2052

Artificial Intelligence (AI) in the Retail Market is valued at USD 5.59 Billion in 2022 and is expected to grow from USD 7.42 Billion in 2023 to reach USD 71.23 Billion by 2031, at a CAGR of 32.68% during the forecast period (2024-2031).

The global artificial intelligence (AI) in retail market is undergoing a profound transformation, fundamentally changing internal business operations and customer engagement. The primary goal of this emerging market is to transform retailers into technology-driven digital giants by leveraging innovative solutions to automate processes and deliver personalized services on a large scale. The increasing demand for customized shopping experiences, driven by consumers' desire for tailored suggestions and seamless browsing both online and offline, is pushing retailers to adopt AI-powered solutions. These solutions enable real-time data analysis to offer personalized recommendations, insights, and promotions based on individual preferences and behaviours. With the rise of e-commerce and the validation of omnichannel retailing, the necessity of AI technologies has become evident in enhancing e-stores, optimizing supply chain logistics, and delivering exceptional customer experiences. While AI has demonstrated significant potential in the retail sector, various inhibiting factors continue to hinder its widespread adoption.

Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence (AI) in the 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 the Retail Market Segmental Analysis

The global artificial intelligence in retail market is segmented by type, technology, solution, service, deployment mode, application, and region. By type, it includes online retail and offline retail. The technology segment comprises machine learning and deep learning (facial recognition, emotion detection), natural language processing, chatbots, image and video analytics, and swarm intelligence. Solutions are categorized into product recommendation and planning, customer relationship management, visual search, virtual assistant, chatbots, price optimization, payment services management, supply chain management and demand planning, and others. Services are divided into professional services and managed services. Deployment modes are split between cloud and on-premises. Applications include predictive merchandising, market forecasting, in-store visual monitoring and surveillance, location-based marketing, and others (real-time pricing and incentives, real-time product targeting). Geographically, the market is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa.

Drivers of the Artificial Intelligence (AI) in the Retail Market

AI-based chatbot recruiting is rapidly gaining traction in the retail market due to its significant enhancement of customer service quality. These chatbots provide tailored and purposeful responses, encouraging customer loyalty. For instance, upliance.ai integrated ChatGPT in May 2023, with DelishUp, a smart cooking companion, automating the cooking process for a seamless experience. The company plans to expand into the home appliances sector, solidifying its presence in AI across outdoor markets. Leveraging NLP and ML technologies, AI chatbots have become more human-like, enabling companies to gather real-time data on customer preferences. Additionally, these chatbots can understand customer attitudes, emotions, and behavior patterns, improving their responsiveness and relationship-building capabilities.

Restraints in the Artificial Intelligence (AI) in the Retail Market

Well-known retail brands constantly seek the latest technologies to enhance customer engagement, but numerous factors can limit growth in developing markets. Major retailers like Walmart have likely adopted artificial intelligence (AI) to manage both in-store and online platforms. Before the emergence of blockchain technology, SMEs and startups faced significant barriers to adopting modern technology, primarily due to a lack of necessary infrastructure and technical skills. According to IBM's cloud-data service, 37% of practitioners believe that the scarcity of AI expertise is a major obstacle to implementing these technologies.

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

The e-commerce and online retail markets are witnessing a surge in demand as consumers increasingly utilize innovative methods for product descriptions, such as images, videos, and voice-assisted searches via mobile internet and smartphones. AI in visual search has become more effective by leveraging data collection and data mining. AI-powered shopping apps (visual search engines) utilize advanced AI features to analyze, track, and predict emerging shopping trends, thereby enhancing the overall shopping experience and increasing consumer engagement.

Introduction

Objectives of the Study
Definitions
Market Scope

Research Methodology

Information Procurement
Secondary & Primary Data Sources
Market Size Estimation
Market Assumptions & Limitations

Executive Summary

Market Overview Outlook
Supply Demand Trend Analysis
Segmental Opportunity Analysis

Market Dynamics & Outlook

Market Dynamics
- Drivers
- Opportunities
- Restraints
- Challenges
Porters Analysis
- Competitive rivalry
- Threat of Substitute Products
- Bargaining Power of Buyers
- Threat of New Entrants
- Bargaining Power of Suppliers

Key Market Insights

Technology Analysis
Pestel Analysis
Case Study Analysis
Value Chain Analysis
Ecosystem of the Market
Regulatory Landscape
Innovation Matrix
Top Investment Analysis
Key Success Factor
Degree of Competition

Artificial Intelligence (AI) in Retail Market by Type

Market Overview
Online Retail
Offline Retail

Artificial Intelligence (AI) in Retail Market by Technology

Market Overview
Machine Learning and Deep Learning
- Facial Recognition
- Emotion Detection
Natural Language Processing
Others
- Analytics
- Process Automation

Artificial Intelligence (AI) in Retail Market by solution

Market Overview
Product Recommendation and Planning
Customer Relationship Management
Visual Search
Virtual Assistant
Chatbots
Price Optimization
Payment Services Management
Supply Chain Management and Demand Planning
Others

Artificial Intelligence (AI) in Retail Market by Service

Market Overview
Professional Services
Managed Services

Artificial Intelligence (AI) in Retail Market by Deployment Mode

Market Overview
Cloud
On-Premises

Artificial Intelligence (AI) in Retail Market by Application

Predictive Merchandising
Market Forecasting
In-Store Visual Monitoring and Surveillance
Location-Based Marketing
Others
- Real-Time Pricing and Incentives
- Real-Time Product Targeting

Artificial Intelligence (AI) in Retail Market Size by Region

Market Overview
North America
- USA
- Canada
Europe
- Germany
- Spain
- France
- UK
- Italy
- Rest of Europe
Asia Pacific
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
Latin America
- Brazil
- Rest of Latin America
Middle East & Africa (MEA)
- GCC Countries
- South Africa
- Rest of MEA

Competitive Landscape

Top 5 Player Comparison
Market Positioning of Key Players, 2023
Strategies Adopted by Key Market Players
Recent Activities in the Market
Key Companies Market Share (%), 2023

Key Company Profiles

Amazon Web Services (AWS) (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Google LLC (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Microsoft Corporation (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
IBM Corporation (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
SAP SE (Germany)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Oracle Corporation (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Salesforce.com, Inc. (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Infosys Limited (India)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Capgemini SE (France)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Alibaba Group Holding Limited (China)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Baidu, Inc. (China)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
HCL Technologies Limited (India)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Wipro Limited (India)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Tata Consultancy Services Limited (TCS) (India)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Accenture plc (Ireland)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Intel Corporation (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
NVIDIA Corporation (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Cognizant Technology Solutions (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Fujitsu Limited (Japan)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Symphony RetailAI (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments