Research Expert: Sarah Overall
  • Published: Aug 2025
  • Pages: 150
  • SKU: IRTNTR80913

  • Latest News- Predictive AI In Retail Market: Solutions is expected to lead the Component segment during 2025-2029

    The Predictive AI In Retail Market is being driven by Escalating Demand for Personalized Customer Experiences

    The Predictive AI In Retail Market is expected to grow at a CAGR of 25.6% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 8305.4 million. The retail industry is witnessing a significant shift towards the integration of generative AI for predictive analytics, revolutionizing the customer experience through hyper-personalization at an unprecedented scale. Predictive analytics has long been utilized for personalization, but the emergence of advanced generative models is leading to more dynamic, conversational, and individually tailored customer journeys. This trend is gaining traction in major retail markets, including North America, Europe, and APAC, as retailers strive to meet evolving consumer expectations for contextually aware and unique interactions. In North America, retail giants such as Walmart are spearheading this innovation. In January 2024, Walmart unveiled new generative AI-powered tools, including an enhanced search function that enables customers to search based on specific use cases, like football watch parties, and receive a tailored list of relevant products. 

    Get more information on Predictive AI In Retail Market by requesting a sample report

    Which Factors Are Causing a Surge in Market Growth?

    The market is segmented based on

    • Component
      • Solutions
      • Services
    • Application
      • Demand forecasting
      • Personalized marketing
      • Supply chain optimization
      • Dynamic pricing
      • Customer churn prediction
    • End-user
      • Groceries and food
      • Apparel and footwear
      • Consumer electronics
      • Beauty and personal care
      • Others
    • Geography
      • North America
        • Canada
        • US
      • Europe
        • Germany
        • UK
        • France
      • APAC
        • China
        • India
        • Japan
        • South Korea
      • Middle East and Africa
        • South America
          • Brazil

      According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows: 

      • Escalating Demand for Personalized Customer Experiences
      • Imperative for Supply Chain and Inventory Optimization
      • Proliferation of E-commerce and Rise of Omnichannel Retail

      However, the market also witnesses some limitations, which are as follows:

      • Data Privacy and Security Concerns
      • High Implementation Costs and Complexity
      • Shortage of Skilled Talent and Expertise

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      Market Scope in Predictive AI In Retail Market Research Report

      Market Scope

      Report Coverage

      Details

      Page number

      256

      Base year

      2024

      Historic period

      2019-2023

      Forecast period

      2025-2029

      Growth momentum & CAGR

      Accelerate at a CAGR of 25.6%

      Market growth 2025-2029

      USD 8305.4 million

      Market structure

      fragmentation

      YoY growth 2024-2025(%)

      24.4

      Key countries

      US, China, Germany, Japan, UK, Canada, France, India, South Korea, and Brazil

      Competitive landscape

      Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks

      Find out which segment is leading the market by accessing the free PDF report

      Research Analysis Overview

      In the retail sector, Predictive AI is revolutionizing business operations through various applications. AI-driven personalization enhances customer experience, while retail data integration ensures seamless information flow. Smart shelf technology and automated stock replenishment optimize inventory management. Predictive analytics helps in estimating customer lifetime value, promotional effectiveness, conversion rate optimization, shopping cart abandonment, customer churn prediction, and store traffic prediction. Staff scheduling optimization, data security protocols, and real-time analytics are other key areas of application. Model training data, algorithm accuracy metrics like precision and recall, F1-score, AUC-ROC curve, mean absolute error, data cleaning techniques, feature engineering, model validation techniques, cross-validation methods, hyperparameter tuning, model deployment strategies, API integration, and business process automation are essential components of building and implementing effective predictive AI models in retail.

      Market Research Overview

      In the dynamic retail industry, Predictive AI is revolutionizing business operations through machine learning models and deep learning algorithms. These advanced technologies enable demand forecasting models, optimizing inventory management, and personalizing customer experiences through natural language processing. The global application software market, a segment of the IT software industry, encompasses these Predictive AI solutions. Technavio's market analysis calculates the market size based on the collective revenue generated by companies specializing in Predictive AI application software.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.


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      Technavio Research
      Jesse Maida
      Media & Marketing Executive
      US: +1 844 364 1100
      UK: +44 203 893 3200
      Email: media@technavio.com
      Website: www.technavio.com/

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