2026 Global: Artificial Intelligence (Ai) In Retail Market-Competitive Review (2032) report
Description
The 2026 Global: Artificial Intelligence (Ai) In Retail Market-Competitive Review (2031) report features the global market size and projected growth/decline data for the period 2021 through 2032. The report primarily provides an examination of the business strategies for the ten largest global companies in the market and how their strategies differ.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for artificial intelligence (ai) in retail market by geography and historical trend. The scope of the report extends to sizing of the artificial intelligence (ai) in retail market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
The Artificial Intelligence (AI) in Retail Market is dominated by ten major companies leveraging advanced technologies to revolutionize operations, personalization, and customer experiences. Leading the pack are Amazon, Walmart, and Alibaba Group, which integrate AI across e-commerce, supply chains, and in-store innovations. Amazon employs machine learning for personalized recommendations, dynamic pricing, robotics in warehouses, and cashier-less Amazon Go stores using real-time product tracking. Walmart utilizes AI for demand forecasting, smart inventory management, route optimization, and its Intelligent Retail Lab for real-time shelf monitoring via computer vision, reducing waste on perishables. Alibaba transforms smart retailing through Hema supermarkets and Tmall with AI-driven customer behavior analysis, facial recognition, payment systems, and product suggestions, backed by massive investments in cloud and AI infrastructure. These giants provide scalable platforms that enhance efficiency and drive sales growth in competitive retail landscapes.
Complementing these retail behemoths are tech powerhouses like IBM, Intel Corporation, and Microsoft, which supply specialized AI solutions tailored for retail applications. IBM's AI tools enable data analytics, supply chain optimization, and personalized customer interactions, empowering retailers to streamline operations. Intel focuses on enhancing in-store experiences, inventory management, and real-time analytics through its global AI technologies. Microsoft integrates AI across its ecosystem, including productivity tools and Azure cloud services, supporting enterprise retail adoption for predictive analytics and customer engagement. Target and Bloomreach further excel in personalization; Target applies AI for assortment planning, pricing optimization, fraud detection, and localized inventory based on shopping behavior, achieving significant net sales. Bloomreach's platform optimizes e-commerce search, product discovery, and customer experiences to boost conversions.
Specialized innovators such as Aifi, Everseen, and Focal Systems address niche retail challenges with computer vision and analytics. Aifi delivers frictionless checkout via AI-powered cashierless stores, improving shopping efficiency. Everseen provides video analytics to detect theft, optimize operations, and enhance service from in-store feeds. Focal Systems targets grocery retail with automated checkout, shelf monitoring, and inventory management for seamless store operations. Collectively, these companies—spanning broad platforms to targeted tools—harness AI for cybersecurity (e.g., Deep Instinct), demand forecasting (e.g., Hivery), and beyond, fostering a dynamic 2025 market projected for exponential growth through automation and data-driven decisions.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for artificial intelligence (ai) in retail market by geography and historical trend. The scope of the report extends to sizing of the artificial intelligence (ai) in retail market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
The Artificial Intelligence (AI) in Retail Market is dominated by ten major companies leveraging advanced technologies to revolutionize operations, personalization, and customer experiences. Leading the pack are Amazon, Walmart, and Alibaba Group, which integrate AI across e-commerce, supply chains, and in-store innovations. Amazon employs machine learning for personalized recommendations, dynamic pricing, robotics in warehouses, and cashier-less Amazon Go stores using real-time product tracking. Walmart utilizes AI for demand forecasting, smart inventory management, route optimization, and its Intelligent Retail Lab for real-time shelf monitoring via computer vision, reducing waste on perishables. Alibaba transforms smart retailing through Hema supermarkets and Tmall with AI-driven customer behavior analysis, facial recognition, payment systems, and product suggestions, backed by massive investments in cloud and AI infrastructure. These giants provide scalable platforms that enhance efficiency and drive sales growth in competitive retail landscapes.
Complementing these retail behemoths are tech powerhouses like IBM, Intel Corporation, and Microsoft, which supply specialized AI solutions tailored for retail applications. IBM's AI tools enable data analytics, supply chain optimization, and personalized customer interactions, empowering retailers to streamline operations. Intel focuses on enhancing in-store experiences, inventory management, and real-time analytics through its global AI technologies. Microsoft integrates AI across its ecosystem, including productivity tools and Azure cloud services, supporting enterprise retail adoption for predictive analytics and customer engagement. Target and Bloomreach further excel in personalization; Target applies AI for assortment planning, pricing optimization, fraud detection, and localized inventory based on shopping behavior, achieving significant net sales. Bloomreach's platform optimizes e-commerce search, product discovery, and customer experiences to boost conversions.
Specialized innovators such as Aifi, Everseen, and Focal Systems address niche retail challenges with computer vision and analytics. Aifi delivers frictionless checkout via AI-powered cashierless stores, improving shopping efficiency. Everseen provides video analytics to detect theft, optimize operations, and enhance service from in-store feeds. Focal Systems targets grocery retail with automated checkout, shelf monitoring, and inventory management for seamless store operations. Collectively, these companies—spanning broad platforms to targeted tools—harness AI for cybersecurity (e.g., Deep Instinct), demand forecasting (e.g., Hivery), and beyond, fostering a dynamic 2025 market projected for exponential growth through automation and data-driven decisions.
Table of Contents
32 Pages
- 1.0 Scope of Report and Methodology
- 2.0 Market SWOT Analysis and Players
- 2.1 Market Definition
- 2.2 Market Segments
- 2.3 Market Strengths
- 2.4 Market Weaknesses
- 2.5 Market Threats
- 2.6 Market Opportunities
- 2.7 Major Players
- 3.0 Competitive Analysis
- 3.1 Market Player 1
- 3.2 Market Player 2
- 3.3 Market Player 3
- 3.4 Market Player 4
- 3.5 Market Player 5
- 3.6 Market Player 6
- 3.7 Market Player 7
- 3.8 Market Player 8
- 3.9 Market Player 9
- 3.10 Market Player 10
- 4.0 Comparative Business Strategies
- 4.1 Comparative Business Strategies of Player 1 and 2
- 4.2 Comparative Business Strategies of Player 1 and 3
- 4.3 Comparative Business Strategies of Player 1 and 4
- 4.4 Comparative Business Strategies of Player 2 and 3
- 4.5 Comparative Business Strategies of Player 2 and 4
- 4.6 Comparative Business Strategies of Player 3 and 4
- 5.0 Appendix
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