Press release
AI-Powered Personalization in Retail Market Is Booming So Rapidly | Major Giants Salesforce, Adobe, Oracle
HTF MI just released the Global AI-Powered Personalization in Retail Market Study, a comprehensive analysis of the market that spans more than 143+ pages and describes the product and industry scope as well as the market prognosis and status for 2025-2032. The marketization process is being accelerated by the market study's segmentation by important regions. The market is currently expanding its reach.Key Players in This Report Include:
Salesforce, Adobe, Oracle, SAP, IBM, Amazon Web Services, Google Cloud, Microsoft Azure, Dynamic Yield, Algonomy, Bloomreach, Coveo, Segment, Insider, Emarsys, Optimizely, MoEngage, Bluecore, Pega Systems, SAS, Treasure Data.
Request PDF Sample Copy of Report: (Including Full TOC, List of Tables & Figures, Chart) @
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HTF Market Intelligence projects that the global AI-Powered Personalization in Retail market will expand at a compound annual growth rate (CAGR) of 12.30% % from 2025 to 2032, from 25.0 Billion in 2025 to 65.0 Billion by 2032.
Our Report Covers the Following Important Topics:
By Type
AI Recommendation Engines, Predictive Analytics Tools, Chatbots, Customer Data Platforms, Visual Search Tools
By Application
Online Retail, Fashion & Apparel, Electronics, Grocery, Omnichannel Commerce
Definition: AI-driven personalization tailors shopping experiences to each consumer. Uses machine learning to analyze behavior, preferences, and purchase history. Delivers dynamic recommendations and predictive insights. Boosts engagement and conversion rates. Transforming how brands connect with customers.
Dominating Region:
• North America
Fastest-Growing Region:
• North America
Market Trends:
✦ Hyper-personalized product recommendations and dynamic pricing
✦ AI-driven customer segmentation and predictive analytics
✦ Voice and visual search personalization integration
✦ Real-time omnichannel experience optimization
✦ Use of generative AI for personalized marketing content creation
Market Drivers:
✦ Growing competition in e-commerce demanding better customer engagement
✦ Increasing availability of customer data from digital touchpoints
✦ Advances in AI, machine learning, and recommendation engines
✦ Rising demand for improved conversion and retention rates
✦ Expansion of omnichannel retail and digital-first strategies
Market Challenges:
✦ Data privacy and compliance with evolving regulations (GDPR, CCPA)
✦ Integration complexities with legacy retail systems
✦ High implementation and maintenance costs for AI platforms
✦ Over-personalization risks leading to consumer discomfort
✦ Shortage of skilled AI and data science professionals
Market Opportunities:
✦ AI-powered loyalty and retention programs
✦ Growth in AR/VR-driven personalized shopping experiences
✦ Expansion of personalization-as-a-service platforms for SMB retailers
✦ Cross-channel behavioral analytics for unified customer profiles
✦ Integration of generative AI for interactive, adaptive shopping journeys
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Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
• The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
• North America (United States, Mexico & Canada)
• South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
• Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
• Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).
Buy Now Latest Edition AI-Powered Personalization in Retail Market Report 👉 https://www.htfmarketreport.com/reports/4360331-aipowered-personalization-in-retail-market
AI-Powered Personalization in Retail Market Research Objectives:
Focuses on the key manufacturers, to define, pronounce and examine the value, sales volume, market share, market competition landscape, SWOT analysis, and development plans in the next few years.
- To share comprehensive information about the key factors influencing the growth of the market (opportunities, drivers, growth potential, industry-specific challenges and risks).
- To analyze the with respect to individual future prospects, growth trends and their involvement to the total market.
- To analyze reasonable developments such as agreements, expansions new product launches, and acquisitions in the market.
- To deliberately profile the key players and systematically examine their growth strategies.
FIVE FORCES & PESTLE ANALYSIS:
Five forces analysis-the threat of new entrants, the threat of substitutes, the threat of competition, and the bargaining power of suppliers and buyers-are carried out to better understand market circumstances.
• Political (Political policy and stability as well as trade, fiscal, and taxation policies)
• Economical (Interest rates, employment or unemployment rates, raw material costs, and foreign exchange rates)
• Social (Changing family demographics, education levels, cultural trends, attitude changes, and changes in lifestyles)
• Technological (Changes in digital or mobile technology, automation, research, and development)
• Legal (Employment legislation, consumer law, health, and safety, international as well as trade regulation and restrictions)
• Environmental (Climate, recycling procedures, carbon footprint, waste disposal, and sustainability)
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Points Covered in Table of Content of Global AI-Powered Personalization in Retail Market:
Chapter 01 - AI-Powered Personalization in Retail Market Executive Summary
Chapter 02 - Market Overview
Chapter 03 - Key Success Factors
Chapter 04 - Global AI-Powered Personalization in Retail Market - Pricing Analysis
Chapter 05 - Global AI-Powered Personalization in Retail Market Background or History
Chapter 06 - Global AI-Powered Personalization in Retail Market Segmentation (e.g. Type, Application)
Chapter 07 - Key and Emerging Countries Analysis Worldwide Polyester Fiber Market
Chapter 08 - Global AI-Powered Personalization in Retail Market Structure & worth Analysis
Chapter 09 - Global AI-Powered Personalization in Retail Market Competitive Analysis & Challenges
Chapter 10 - Assumptions and Acronyms
Chapter 11 - AI-Powered Personalization in Retail Market Research Method Polyester Fiber
Thank you for reading this post. You may also obtain report versions by area, such as North America, LATAM, Europe, Japan, Australia, or Southeast Asia, or by chapter.
Nidhi Bhawsar (PR & Marketing Manager)
HTF Market Intelligence Consulting Private Limited
Phone: +15075562445
sales@htfmarketintelligence.com
About Author:
HTF Market Intelligence Consulting is uniquely positioned to empower and inspire with research and consulting services to empower businesses with growth strategies, by offering services with extraordinary depth and breadth of thought leadership, research, tools, events, and experience that assist in decision-making.
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