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. In the realm of supply chain management, a noteworthy development is the transition from predictive analytics to hyper-automation. This shift signifies the progression towards an autonomous, self-correcting supply chain, surpassing basic automation. Hyper-automation integrates a range of 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 instantaneously trigger automated workflows. For instance, if an AI model foresees a substantial delay for an essential incoming shipment of components, a hyper-automated system would not merely issue an alert. Instead, it would initiate corrective actions, such as rerouting or expediting alternative shipments, to mitigate the impact of the delay and maintain optimal supply chain performance. 

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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

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Research Analysis Overview

In the realm of modern supply chain management, AI-driven solutions are revolutionizing the industry. Predictive analytics logistics, intelligent transportation systems, and automated warehouse management are key components of data-driven supply chains. Smart contracts logistics, demand planning software, and inventory optimization tools enhance efficiency. Production scheduling AI, supply chain traceability, and real-time logistics monitoring ensure transparency. Predictive maintenance algorithms, AI-powered routing software, warehouse robotics systems, and autonomous delivery drones optimize operations. Cloud-based supply chain solutions integrate and streamline these advanced technologies.

Market Research Overview

In the dynamic business landscape, Predictive AI plays a pivotal role in optimizing supply chain operations through advanced demand forecasting models, inventory management, and supply chain optimization. Technavio's market analysis encompasses global IT software companies specializing in application software, including enterprise solutions for supply chain management. These businesses leverage AI technologies to enhance forecasting accuracy, streamline inventory processes, and improve overall operational efficiency. The global application software market, as per Technavio's estimation, represents the revenue generated by these companies offering AI-driven supply chain solutions.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.

Technavio Research
Jesse Maida
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