Industry: Service & Software
Published Date: 2026-03-09
Pages: 102 Pages
Report ld: 6093454
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AI-Powered Retail Experience Platforms Market Size(US$)

CAGR 2026-2032
30.1%
Market Size,2032
USD 76,270
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global market for AI-Powered Retail Experience Platforms was estimated to be worth US$ 12380 million in 2025 and is projected to reach US$ 76270 million, growing at a CAGR of 30.1% from 2026 to 2032.
In 2024, AI-Powered Retail Experience Platforms with an average global market price of around US$1,000-50,000 per month. AI-Powered Retail Experience Platforms are digital systems that use artificial intelligence to enhance and personalize the customer journey across online and offline retail environments. These platforms leverage AI technologies such as machine learning, computer vision, natural language processing, and predictive analytics to optimize operations, marketing, customer service, and in-store experiences.
The North American market for AI-Powered Retail Experience Platforms was valued at US$ million in 2025 and is projected to reach US$ million by 2032, at a CAGR of % from 2026 to 2032.
The Asia-Pacific market for AI-Powered Retail Experience Platforms was valued at $ million in 2025 and is projected to climb to US$ million by 2032, at a CAGR of % from 2026 to 2032.
The European market for AI-Powered Retail Experience Platforms was valued at $ million in 2025 and is projected to total US$ million by 2032, at a CAGR of % from 2026 to 2032.
The global key companies in the AI-Powered Retail Experience Platforms market include Salesforce, Shopify, Adobe, Microsoft, Google Cloud, Amazon Web Services (AWS), SAP, Infosys Equinox, Cognigy, Vue.ai (Mad Street Den), etc. In 2025, the five largest players accounted for approximately % of revenue.
This report provides a comprehensive view of the global market for AI-Powered Retail Experience Platforms, covering total sales revenue, the market share and ranking of key companies, along with analyses by region & country, by Type, and by Application.
The AI-Powered Retail Experience Platforms market size, estimations, and forecasts are presented in terms of sales revenue ($ millions), with 2025 as the base year and historical and forecast data from 2021 to 2032. The report combines quantitative and qualitative analysis to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current marketplace, and make informed business decisions regarding AI-Powered Retail Experience Platforms.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the scope of the report and the global market size (value). It also summarizes market dynamics and recent developments; identifies key drivers and restraints; outlines challenges and risks for players; reviews relevant industry policies.
Chapter 2: Provides a detailed analysis of the AI-Powered Retail Experience Platforms companies' competitive landscape—including revenue shares, recent development plans, and mergers and acquisitions (M&A).
Chapter 3: Analyzes market segmentation by Type, presenting the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 4: Analyzes market segmentation by Application, presenting the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 5: Presents AI-Powered Retail Experience Platforms revenue at the regional level. It offers a quantitative assessment of market size and growth potential by region and summarizes market development, future prospects, addressable space, and country-level market size worldwide.
Chapter 6: Presents AI-Powered Retail Experience Platforms revenue at the country level. It provides segmented data by Type and by Application for each country/region.
Chapter 7: Profiles key players, detailing the main companies' product revenue, gross margin, product portfolios, recent developments, etc.
Chapter 8: Analysis of Value Chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Market Overview
1.1 AI-Powered Retail Experience Platforms Product Introduction
1.2 Global AI-Powered Retail Experience Platforms Market Size Forecast (2021–2032)
1.3 AI-Powered Retail Experience Platforms Market Trends & Drivers
1.3.1 AI-Powered Retail Experience Platforms Industry Trends
1.3.2 AI-Powered Retail Experience Platforms Market Drivers & Opportunities
1.3.3 AI-Powered Retail Experience Platforms Market Challenges
1.3.4 AI-Powered Retail Experience Platforms Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global AI-Powered Retail Experience Platforms Players Revenue Ranking (2025)
2.2 Global AI-Powered Retail Experience Platforms Revenue by Company (2021–2026)
2.3 Key Companies’ R&D and Operations Footprint and Headquarters
2.4 Key Companies AI-Powered Retail Experience Platforms Product Offerings
2.5 Key Companies General Availability (GA) Timeline for AI-Powered Retail Experience Platforms
2.6 AI-Powered Retail Experience Platforms Market Competitive Analysis
2.6.1 AI-Powered Retail Experience Platforms Market Concentration Rate (2021–2026)
2.6.2 Top 5 and Top 10 Global Companies by AI-Powered Retail Experience Platforms Revenue in 2025
2.6.3 Global Companies by Tier (Tier 1, Tier 2, Tier 3), based on AI-Powered Retail Experience Platforms revenue, 2025
2.7 Mergers & Acquisitions and Expansion
3 Segmentation AI-Powered Retail Experience Platforms Market Classification
3.1 Introduction by Type
3.1.1 Personalization Engines
3.1.2 Conversational AI Platforms
3.1.3 Visual AI & Computer Vision Platforms
3.1.4 Dynamic Pricing & Promotion Platforms
3.1.5 AR/VR & Virtual Try-On Platforms
3.1.6 Customer Sentiment & Review Analytics Platforms
3.1.7 Others
3.1.8 Global AI-Powered Retail Experience Platforms Sales Value by Type
3.1.8.1 Global AI-Powered Retail Experience Platforms Sales Value by Type (2021 vs 2025 vs 2032)
3.1.8.2 Global AI-Powered Retail Experience Platforms Sales Value, by Type (2021–2032)
3.1.8.3 Global AI-Powered Retail Experience Platforms Sales Value, by Type (%), 2021–2032
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Fashion Retail
4.1.2 Grocery & FMCG
4.1.3 Luxury Retail
4.1.4 Electronics
4.1.5 Omnichannel Retailers
4.2 Global AI-Powered Retail Experience Platforms Sales Value by Application
4.2.1 Global AI-Powered Retail Experience Platforms Sales Value by Application (2021 vs 2025 vs 2032)
4.2.2 Global AI-Powered Retail Experience Platforms Sales Value by Application (2021–2032)
4.2.3 Global AI-Powered Retail Experience Platforms Sales Value by Application (%), 2021–2032
5 Segmentation by Region
5.1 Global AI-Powered Retail Experience Platforms Sales Value by Region
5.1.1 Global AI-Powered Retail Experience Platforms Sales Value by Region: 2021 vs 2025 vs 2032
5.1.2 Global AI-Powered Retail Experience Platforms Sales Value by Region (2021–2026)
5.1.3 Global AI-Powered Retail Experience Platforms Sales Value by Region (2027–2032)
5.1.4 Global AI-Powered Retail Experience Platforms Sales Value by Region (%), 2021–2032
5.2 North America
5.2.1 North America AI-Powered Retail Experience Platforms Sales Value, 2021–2032
5.2.2 North America AI-Powered Retail Experience Platforms Sales Value by Country (%), 2025 vs 2032
5.3 Europe
5.3.1 Europe AI-Powered Retail Experience Platforms Sales Value, 2021–2032
5.3.2 Europe AI-Powered Retail Experience Platforms Sales Value by Country (%), 2025 vs 2032
5.4 Asia Pacific
5.4.1 Asia Pacific AI-Powered Retail Experience Platforms Sales Value, 2021–2032
5.4.2 Asia Pacific AI-Powered Retail Experience Platforms Sales Value by Subregion (%), 2025 vs 2032
5.5 South America
5.5.1 South America AI-Powered Retail Experience Platforms Sales Value, 2021–2032
5.5.2 South America AI-Powered Retail Experience Platforms Sales Value by Country (%), 2025 vs 2032
5.6 Middle East & Africa
5.6.1 Middle East & Africa AI-Powered Retail Experience Platforms Sales Value, 2021–2032
5.6.2 Middle East & Africa AI-Powered Retail Experience Platforms Sales Value by Country (%), 2025 vs 2032
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions AI-Powered Retail Experience Platforms Sales Value Growth Trends, 2021 vs 2025 vs 2032
6.2 Key Countries/Regions AI-Powered Retail Experience Platforms Sales Value, 2021–2032
6.3 United States
6.3.1 United States AI-Powered Retail Experience Platforms Sales Value, 2021–2032
6.3.2 United States AI-Powered Retail Experience Platforms Sales Value by Type (%), 2025 vs 2032
6.3.3 United States AI-Powered Retail Experience Platforms Sales Value by Application, 2025 vs 2032
6.4 Europe
6.4.1 Europe AI-Powered Retail Experience Platforms Sales Value, 2021–2032
6.4.2 Europe AI-Powered Retail Experience Platforms Sales Value by Type (%), 2025 vs 2032
6.4.3 Europe AI-Powered Retail Experience Platforms Sales Value by Application, 2025 vs 2032
6.5 China
6.5.1 China AI-Powered Retail Experience Platforms Sales Value, 2021–2032
6.5.2 China AI-Powered Retail Experience Platforms Sales Value by Type (%), 2025 vs 2032
6.5.3 China AI-Powered Retail Experience Platforms Sales Value by Application, 2025 vs 2032
6.6 Japan
6.6.1 Japan AI-Powered Retail Experience Platforms Sales Value, 2021–2032
6.6.2 Japan AI-Powered Retail Experience Platforms Sales Value by Type (%), 2025 vs 2032
6.6.3 Japan AI-Powered Retail Experience Platforms Sales Value by Application, 2025 vs 2032
6.7 South Korea
6.7.1 South Korea AI-Powered Retail Experience Platforms Sales Value, 2021–2032
6.7.2 South Korea AI-Powered Retail Experience Platforms Sales Value by Type (%), 2025 vs 2032
6.7.3 South Korea AI-Powered Retail Experience Platforms Sales Value by Application, 2025 vs 2032
6.8 Southeast Asia
6.8.1 Southeast Asia AI-Powered Retail Experience Platforms Sales Value, 2021–2032
6.8.2 Southeast Asia AI-Powered Retail Experience Platforms Sales Value by Type (%), 2025 vs 2032
6.8.3 Southeast Asia AI-Powered Retail Experience Platforms Sales Value by Application, 2025 vs 2032
6.9 India
6.9.1 India AI-Powered Retail Experience Platforms Sales Value, 2021–2032
6.9.2 India AI-Powered Retail Experience Platforms Sales Value by Type (%), 2025 vs 2032
6.9.3 India AI-Powered Retail Experience Platforms Sales Value by Application, 2025 vs 2032
7 Company Profiles
7.1 Salesforce
7.1.1 Salesforce Profile
7.1.2 Salesforce Main Business
7.1.3 Salesforce AI-Powered Retail Experience Platforms Products, Services, and Solutions
7.1.4 Salesforce AI-Powered Retail Experience Platforms Revenue (US$ Million), 2021–2026
7.1.5 Salesforce Recent Developments
7.2 Shopify
7.2.1 Shopify Profile
7.2.2 Shopify Main Business
7.2.3 Shopify AI-Powered Retail Experience Platforms Products, Services, and Solutions
7.2.4 Shopify AI-Powered Retail Experience Platforms Revenue (US$ Million), 2021–2026
7.2.5 Shopify Recent Developments
7.3 Adobe
7.3.1 Adobe Profile
7.3.2 Adobe Main Business
7.3.3 Adobe AI-Powered Retail Experience Platforms Products, Services, and Solutions
7.3.4 Adobe AI-Powered Retail Experience Platforms Revenue (US$ Million), 2021–2026
7.3.5 Adobe Recent Developments
7.4 Microsoft
7.4.1 Microsoft Profile
7.4.2 Microsoft Main Business
7.4.3 Microsoft AI-Powered Retail Experience Platforms Products, Services, and Solutions
7.4.4 Microsoft AI-Powered Retail Experience Platforms Revenue (US$ Million), 2021–2026
7.4.5 Microsoft Recent Developments
7.5 Google Cloud
7.5.1 Google Cloud Profile
7.5.2 Google Cloud Main Business
7.5.3 Google Cloud AI-Powered Retail Experience Platforms Products, Services, and Solutions
7.5.4 Google Cloud AI-Powered Retail Experience Platforms Revenue (US$ Million), 2021–2026
7.5.5 Google Cloud Recent Developments
7.6 Amazon Web Services (AWS)
7.6.1 Amazon Web Services (AWS) Profile
7.6.2 Amazon Web Services (AWS) Main Business
7.6.3 Amazon Web Services (AWS) AI-Powered Retail Experience Platforms Products, Services, and Solutions
7.6.4 Amazon Web Services (AWS) AI-Powered Retail Experience Platforms Revenue (US$ Million), 2021–2026
7.6.5 Amazon Web Services (AWS) Recent Developments
7.7 SAP
7.7.1 SAP Profile
7.7.2 SAP Main Business
7.7.3 SAP AI-Powered Retail Experience Platforms Products, Services, and Solutions
7.7.4 SAP AI-Powered Retail Experience Platforms Revenue (US$ Million), 2021–2026
7.7.5 SAP Recent Developments
7.8 Infosys Equinox
7.8.1 Infosys Equinox Profile
7.8.2 Infosys Equinox Main Business
7.8.3 Infosys Equinox AI-Powered Retail Experience Platforms Products, Services, and Solutions
7.8.4 Infosys Equinox AI-Powered Retail Experience Platforms Revenue (US$ Million), 2021–2026
7.8.5 Infosys Equinox Recent Developments
7.9 Cognigy
7.9.1 Cognigy Profile
7.9.2 Cognigy Main Business
7.9.3 Cognigy AI-Powered Retail Experience Platforms Products, Services, and Solutions
7.9.4 Cognigy AI-Powered Retail Experience Platforms Revenue (US$ Million), 2021–2026
7.9.5 Cognigy Recent Developments
7.10 Vue.ai (Mad Street Den)
7.10.1 Vue.ai (Mad Street Den) Profile
7.10.2 Vue.ai (Mad Street Den) Main Business
7.10.3 Vue.ai (Mad Street Den) AI-Powered Retail Experience Platforms Products, Services, and Solutions
7.10.4 Vue.ai (Mad Street Den) AI-Powered Retail Experience Platforms Revenue (US$ Million), 2021–2026
7.10.5 Vue.ai (Mad Street Den) Recent Developments
7.11 Syte
7.11.1 Syte Profile
7.11.2 Syte Main Business
7.11.3 Syte AI-Powered Retail Experience Platforms Products, Services, and Solutions
7.11.4 Syte AI-Powered Retail Experience Platforms Revenue (US$ Million), 2021–2026
7.11.5 Syte Recent Developments
7.12 True Fit
7.12.1 True Fit Profile
7.12.2 True Fit Main Business
7.12.3 True Fit AI-Powered Retail Experience Platforms Products, Services, and Solutions
7.12.4 True Fit AI-Powered Retail Experience Platforms Revenue (US$ Million), 2021–2026
7.12.5 True Fit Recent Developments
7.13 Revionics (acquired by Aptos)
7.13.1 Revionics (acquired by Aptos) Profile
7.13.2 Revionics (acquired by Aptos) Main Business
7.13.3 Revionics (acquired by Aptos) AI-Powered Retail Experience Platforms Products, Services, and Solutions
7.13.4 Revionics (acquired by Aptos) AI-Powered Retail Experience Platforms Revenue (US$ Million), 2021–2026
7.13.5 Revionics (acquired by Aptos) Recent Developments
7.14 Bold Commerce
7.14.1 Bold Commerce Profile
7.14.2 Bold Commerce Main Business
7.14.3 Bold Commerce AI-Powered Retail Experience Platforms Products, Services, and Solutions
7.14.4 Bold Commerce AI-Powered Retail Experience Platforms Revenue (US$ Million), 2021–2026
7.14.5 Bold Commerce Recent Developments
7.15 Zebra Technologies
7.15.1 Zebra Technologies Profile
7.15.2 Zebra Technologies Main Business
7.15.3 Zebra Technologies AI-Powered Retail Experience Platforms Products, Services, and Solutions
7.15.4 Zebra Technologies AI-Powered Retail Experience Platforms Revenue (US$ Million), 2021–2026
7.15.5 Zebra Technologies Recent Developments
8 Industry Chain Analysis
8.1 AI-Powered Retail Experience Platforms Value Chain
8.2 AI-Powered Retail Experience Platforms Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Key Suppliers of Raw Materials
8.2.3 Cost Structure
8.3 Midstream Analysis
8.4 Downstream (Customer) Analysis
8.5 Sales Model and Sales Channelss
8.5.1 AI-Powered Retail Experience Platforms Sales Model
8.5.2 Sales Channels
8.5.3 AI-Powered Retail Experience Platforms Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
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