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零售業人工智能

市場調查報告書

商品編碼

1504873

零售人工智慧 (AI) 市場規模、佔有率和成長分析：按類型、按技術、按解決方案、按服務、按應用、按部署模式、按地區 - 行業預測，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個工作天內

價格

簡介目錄

2022年零售人工智慧（AI）市場規模為55.9億美元，預計2031年將達到712.3億美元，而2023年為74.2億美元，預計2031年將達到712.3億美元。為32.68%）。

全球零售人工智慧（AI）市場正在經歷重大變革時期，從根本上改變內部業務和客戶參與。這個新興市場的主要目標是利用創新解決方案實現流程自動化並大規模提供個人化服務，將零售商轉變為技術主導的數位巨頭。由於消費者對個人化提案和無縫瀏覽的渴望，對線上和線下客製化購物體驗的需求不斷成長，這促使零售商採用人工智慧驅動的解決方案。這些解決方案支援即時資料分析，並根據個人偏好和行為提供個人化的提案、見解和促銷。電子商務的興起和全通路零售的檢驗明確表明需要人工智慧技術來為電子商店提供動力、最佳化供應鏈物流並提供卓越的客戶體驗。儘管人工智慧在零售領域展現出巨大潛力，但各種阻礙因素仍阻礙其廣泛應用。

市場概況
北美洲
- 美國
- 加拿大
歐洲
- 德國
- 西班牙
- 法國
- 英國
- 義大利
- 其他歐洲國家地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 其他亞太地區
拉丁美洲
- 巴西
- 其他拉丁美洲地區
中東和非洲 (MEA)
- 海灣合作理事會國家
- 南非
- 其他中東/非洲地區

競爭格局

前5名企業對比
主要企業市場定位（2023年）
主要市場參與者所採取的策略
近期市集活動
主要企業市場佔有率（2023年）

主要企業簡介

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）

簡介目錄

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