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零售業人工智能

市場調查報告書

商品編碼

1687529

零售市場人工智慧 (AI) 規模、佔有率及成長分析（按組件、技術、銷售管道、應用和地區）—2025 年至 2032 年行業預測

Artificial Intelligence (AI) in Retail Market Size, Share, and Growth Analysis, By Component (Solution, Service), By Technology (Machine Learning, Natural Language Processing), By Sales Channel, By Application, By Region - Industry Forecast 2025-2032

出版日期: 2025年03月17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

預計零售業人工智慧 (AI) 市場規模將在 2023 年達到 80 億美元，並從 2024 年的 106.6 億美元成長到 2032 年的 1055.9 億美元，預測期內（2025-2032 年）的複合年成長率為 33.2%。

零售業擴大採用人工智慧 (AI)，因為零售業非常注重改善客戶購物體驗和推動零售格局的數位轉型。隨著零售商尋求提高效率和盈利，這種轉變為人工智慧提供者創造了巨大的成長機會。利用人工智慧技術，零售企業可以有效地分析原始資料並獲得有價值的見解，以便做出明智的決策。然而，市場擴張面臨障礙，包括將人工智慧與現有舊有系統結合的挑戰、圍繞資料隱私的擔憂以及高成本。應對這些挑戰對於成功將人工智慧融入零售業並最大限度地發揮其潛在優勢至關重要。

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
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
中東和非洲
- 海灣合作理事會國家
- 南非
- 其他中東和非洲地區

競爭資訊

前五大公司對比
主要企業市場定位（2024年）
主要市場參與者所採取的策略
近期市場趨勢
公司市場佔有率分析（2024年）
主要企業簡介
- 公司詳情
- 產品系列分析
- 公司分部佔有率分析
- 收益與前一年同期比較對比（2022-2024 年）

主要企業簡介

Amazon.com, Inc.（USA）
Microsoft Corporation（USA）
Google LLC（USA）
IBM Corporation（USA）
Salesforce.com, Inc.（USA）
Oracle Corporation（USA）
SAP SE（Germany）
Adobe Inc.（USA）
NVIDIA Corporation（USA）
Intel Corporation（USA）
C3.ai（USA）
DataRobot, Inc.（USA）
SAS Institute Inc.（USA）
Sentient Technologies（USA）
Fractal Analytics（USA）
ViSenze（Singapore）
RichRelevance（USA）
Blue Yonder（USA）
Zebra Technologies Corporation（USA）
Alibaba Group（China）

結論和建議

簡介目錄

Product Code: SQMIG45C2052

Artificial Intelligence (AI) in Retail Market size was valued at USD 8.0 billion in 2023 and is poised to grow from USD 10.66 billion in 2024 to USD 105.59 billion by 2032, growing at a CAGR of 33.2% during the forecast period (2025-2032).

The retail industry is increasingly embracing Artificial Intelligence (AI), driven by a strong focus on enhancing the customer shopping experience and the ongoing digital transformation in the retail landscape. This shift presents significant growth opportunities for AI providers, as retailers look to boost efficiency and profitability. By leveraging AI technologies, retailers can effectively analyze raw data to derive valuable insights for informed decision-making. However, the market's expansion faces obstacles such as challenges in integrating AI with existing legacy systems, concerns surrounding data privacy, and the high costs associated with implementation. As the landscape evolves, addressing these challenges will be critical for the successful integration of AI in retail operations and maximizing its potential impact.

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

Global Artificial Intelligence (AI) in Retail Market is segmented by Component, Technology, Sales Channel, Application and region. Based on Component, the market is segmented into Solution and Service. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing, Chatbots, Image and Video Analytics and Swarm Intelligence. Based on Sales Channel, the market is segmented into Omnichannel, Brick and Mortar and Pure-play Online Retailers. Based on Application, the market is segmented intoCustomer Relationship Management(CRM), Supply Chain and Logistics, Inventory Management, Product Optimization, In-Store Navigation, Payment and Pricing Analytics, Virtual Assistant and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Artificial Intelligence (AI) In Retail Market

Retail companies worldwide are prioritizing the enhancement of operational efficiency and productivity to maintain their competitive edge. The integration of Artificial Intelligence (AI) tools and solutions is crucial for these organizations, as it enables them to gain valuable insights across various aspects of their business. Additionally, AI-driven automation streamlines retail operations, allowing companies to achieve their goals more effectively. By leveraging AI technology, retailers can optimize processes, improve decision-making, and ultimately enhance customer experiences, further solidifying their position in an increasingly competitive market.

Restraints in the Artificial Intelligence (AI) In Retail Market

The integration of artificial intelligence into traditional retail systems presents significant challenges that hinder market growth. This advanced technology often encounters compatibility issues with existing infrastructure, which can delay implementation and adoption. As a result, companies are required to prioritize the development of AI solutions that can seamlessly work alongside legacy systems. This necessity for compliance with older technologies can restrict innovation, making it a considerable restraint for the artificial intelligence in retail market. Consequently, the complexity of merging these modern solutions with traditional frameworks may slow down the progress and effectiveness of AI in enhancing retail operations.

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

The Artificial Intelligence (AI) in Retail market is witnessing a remarkable trend towards hyper-personalization, driven by shifting consumer preferences that prioritize tailored shopping experiences. As retailers aim to foster deeper engagement and enhance brand loyalty, AI technologies are being leveraged to analyze customer data and deliver personalized recommendations, targeted discounts, and customized marketing strategies. This shift not only boosts customer satisfaction but also promotes repeat business, setting a new standard for retail interactions. As consumer expectations continue to escalate, adopting AI for personalization has become essential for retailers seeking a competitive edge, ultimately transforming the landscape of the retail industry.

Introduction

Objectives of the Study
Scope of the Report
Definitions

Research Methodology

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

Executive Summary

Global Market Outlook
Supply & Demand Trend Analysis
Segmental Opportunity Analysis

Market Dynamics & Outlook

Market Overview
Market Size
Market Dynamics
- Drivers & Opportunities
- Restraints & Challenges
Porters Analysis
- Competitive rivalry
- Threat of substitute
- Bargaining power of buyers
- Threat of new entrants
- Bargaining power of suppliers

Key Market Insights

Key Success Factors
Degree of Competition
Top Investment Pockets
Market Ecosystem
Market Attractiveness Index, 2024
PESTEL Analysis
Macro-Economic Indicators
Value Chain Analysis
Pricing Analysis

Global Artificial Intelligence (AI) in Retail Market Size by Component & CAGR (2025-2032)

Market Overview
Solution
Service

Global Artificial Intelligence (AI) in Retail Market Size by Technology & CAGR (2025-2032)

Market Overview
Machine Learning
Natural Language Processing
Chatbots
Image and Video Analytics
Swarm Intelligence

Global Artificial Intelligence (AI) in Retail Market Size by Sales Channel & CAGR (2025-2032)

Market Overview
Omnichannel
Brick and Mortar
Pure-play Online Retailers

Global Artificial Intelligence (AI) in Retail Market Size by Application & CAGR (2025-2032)

Market Overview
Customer Relationship Management (CRM)
Supply Chain and Logistics
Inventory Management
Product Optimization
In-Store Navigation
Payment and Pricing Analytics
Virtual Assistant
Others

Global Artificial Intelligence (AI) in Retail Market Size & CAGR (2025-2032)

North America (Component, Technology, Sales Channel, Application)
- US
- Canada
Europe (Component, Technology, Sales Channel, Application)
- Germany
- Spain
- France
- UK
- Italy
- Rest of Europe
Asia Pacific (Component, Technology, Sales Channel, Application)
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
Latin America (Component, Technology, Sales Channel, Application)
- Brazil
- Rest of Latin America
Middle East & Africa (Component, Technology, Sales Channel, Application)
- GCC Countries
- South Africa
- Rest of Middle East & Africa

Competitive Intelligence

Top 5 Player Comparison
Market Positioning of Key Players, 2024
Strategies Adopted by Key Market Players
Recent Developments in the Market
Company Market Share Analysis, 2024
Company Profiles of All Key Players
- Company Details
- Product Portfolio Analysis
- Company's Segmental Share Analysis
- Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

Amazon.com, Inc. (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Microsoft Corporation (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Google LLC (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
IBM Corporation (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Salesforce.com, Inc. (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Oracle Corporation (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
SAP SE (Germany)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Adobe Inc. (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
NVIDIA Corporation (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Intel Corporation (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
C3.ai (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
DataRobot, Inc. (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
SAS Institute Inc. (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Sentient Technologies (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Fractal Analytics (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
ViSenze (Singapore)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
RichRelevance (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Blue Yonder (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Zebra Technologies Corporation (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Alibaba Group (China)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments