Research Expert: Sarah Overall
  • Published: Aug 2025
  • Pages: 150
  • SKU: IRTNTR80917

  • Latest News- Predictive AI In Supply Chain Market: Software is expected to lead the Component segment during 2025-2029

    The Predictive AI In Supply Chain Market is being driven by Heightened imperative for supply chain resilience and agility

    The Predictive AI In Supply Chain Market is expected to grow at a CAGR of 16.2% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 4688.8 million. The predictive AI market in supply chain management is witnessing a transformative shift from predictive analytics to hyper-automation. This progression signifies the development of an autonomous, self-correcting supply chain, going beyond conventional automation. Hyper-automation integrates advanced technologies such as AI, machine learning, and robotic process automation to not only anticipate future events but also instigate and execute intricate responses with minimal human intervention. The objective is to establish a closed-loop system, where predictive insights automatically trigger automated workflows. For instance, if an AI model foresees a substantial delay in an essential shipment of vital components, a hyper-automated system would not merely send an alert. Instead, it would initiate corrective measures, such as rerouting the shipment or sourcing alternatives, to mitigate the impact on the supply chain. 

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

    Which Factors Are Causing a Surge in Market Growth?

    The market is segmented based on

    • Component
      • Software
      • Services
      • Hardware
    • Deployment
      • Cloud
      • On-premises
      • Hybrid
    • Application
      • Supply chain planning
      • Warehouse management
      • Fleet management
      • Virtual assistant
      • Others
    • Geography
      • APAC
        • China
        • India
        • Japan
        • South Korea
      • North America
        • Canada
        • US
      • Europe
        • Germany
        • UK
        • France
      • South America
        • Brazil
      • Middle East and Africa

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

      • Heightened imperative for supply chain resilience and agility
      • Proliferation of big data and maturation of AI technologies
      • Intensifying focus on operational efficiency, cost reduction, and sustainability

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

      • Data accessibility and integration complexity
      • Shortage of specialized talent and significant skills gap
      • High implementation costs and difficulties in proving return on investment

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      Market Scope in Predictive AI In Supply Chain Market Research Report

      Market Scope

      Report Coverage

      Details

      Page number

      243

      Base year

      2024

      Historic period

      2019-2023

      Forecast period

      2025-2029

      Growth momentum & CAGR

      Accelerate at a CAGR of 16.2%

      Market growth 2025-2029

      USD 4688.8 million

      Market structure

      fragmentation

      YoY growth 2024-2025(%)

      15.5

      Key countries

      US, China, Japan, Germany, UK, India, Canada, South Korea, France, 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 Predictive AI market for Supply Chain, Demand Signal Processing and Logistics Optimization are key areas of focus. Warehouse Automation, Inventory Management, and Transportation Management systems are enhanced with AI. Order Management Systems, Supply Chain Analytics, and Data Visualization Dashboards provide insights. Business Process Automation uses Process Mining Techniques for Root Cause Analysis and Exception Management. Performance Monitoring Metrics and Key Performance Indicators guide Cost Optimization Strategies, SLAs, Delivery Performance, and Customer Satisfaction. Order Cycle Time, Inventory Turnover Rate, Supply Chain Efficiency, Agility, Flexibility, and Traceability are essential for success.

      Market Research Overview

      In the dynamic and complex realm of supply chain management, Predictive AI is revolutionizing business operations through advanced machine learning algorithms. These sophisticated technologies enable demand forecasting models, optimizing inventory levels, and enhancing transportation route planning. By harnessing the power of machine learning, businesses can effectively anticipate market trends, minimize stockouts, and reduce logistics costs, ultimately driving operational efficiency and profitability in the global IT software market. Technavio's market analysis covers application software companies specializing in these advanced Predictive AI solutions, contributing significantly to the overall growth of the IT software industry.. 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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