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AI-Based Supply Chain Management Tools Market Research Report - Size, Share, Growth, and Trend Analysis | Forecast (2025 - 2030)

AI-Based Supply Chain Management Tools Market Report

What are AI-based supply chain management Tools?

AI-based supply chain management leverages artificial intelligence to optimize and automate supply chain processes, including demand forecasting, inventory management, logistics, and supplier relationship management. By utilizing machine learning, predictive analytics, and natural language processing, these solutions enable real-time decision-making and enhance efficiency across the entire supply chain ecosystem.

This technology disrupts traditional supply chain methods by introducing new predictive capabilities, simplifying complex operations, and ensuring safer and more resilient systems. It opens big opportunities for cost savings, scalability, and agility in responding to market demands, making it a transformative force across industries such as retail, manufacturing, and healthcare.

Key Market Players

  • ThroughPut AI
  • Logility
  • Blue Yonder
  • Oracle AI-powered Supply Chain Management
  • Kinaxis RapidResponse
  • IBM Watson Supply Chain
  • SAP Integrated Business Planning
  • Manhattan Associates
  • Llamasoft
  • Coupa Software

Case Study:

ThroughPut AI implemented its AI-driven predictive analytics platform for a leading logistics provider. Its unique selling proposition lies in reducing operational inefficiencies by 20% and improving demand forecasting accuracy through real-time data analysis and actionable insights.

Popularity, Related Activities, and Key Statistics

  • Over 65% of businesses adopting AI in supply chain report improved operational efficiency and decision-making.
  • Rising demand for real-time analytics and visibility is driving adoption across industries.

What’s in It for You?

  • Explore innovative AI solutions reshaping supply chain management.
  • Gain insights into competitive strategies and technological advancements.
  • Identify investment opportunities in scalable and efficient supply chain technologies.
  • Access actionable recommendations for enhancing supply chain agility and resilience.

Market Segmentation:

By Type

  • Demand Forecasting and Planning
    • Predictive Demand Analytics
    • Inventory Optimization
  • Supplier Relationship Management
    • Supplier Selection and Evaluation
    • Risk Mitigation and Monitoring
  • Warehouse Management
    • Inventory Tracking Systems
    • Automated Picking and Packing
  • Logistics and Transportation Management
    • Route Optimization
    • Dynamic Pricing and Load Matching
  • Risk and Compliance Management
    • Real-Time Risk Analysis
    • Regulatory Compliance Monitoring
  • Production Planning and Scheduling
    • AI-Driven Production Line Optimization
    • Predictive Maintenance Scheduling
  • Customer Experience and Order Fulfillment
    • AI-Driven Order Management
    • Returns and Refund Optimization

By End User

  • Manufacturing
    • Automotive
    • Electronics and Semiconductors
    • Pharmaceuticals
  • Retail and E-commerce
    • Omnichannel Inventory Management
    • Real-Time Demand Sensing
  • Healthcare and Life Sciences
    • Cold Chain Management
    • Supply Chain for Medical Devices
  • Food and Beverage
    • Perishable Goods Management
    • Inventory Turnover Optimization
  • Logistics and Transportation
    • Freight Management Companies
    • Third-Party Logistics Providers
  • Energy and Utilities
    • Resource Allocation Optimization
    • Supply Chain for Renewable Energy
  • Others
    • Construction and Infrastructure
    • Aerospace and Defense

What’s in It for You?

  • Explore innovative AI solutions reshaping supply chain management.
  • Gain insights into competitive strategies and technological advancements.
  • Identify investment opportunities in scalable and efficient supply chain technologies.
  • Access actionable recommendations for enhancing supply chain agility and resilience.

 

Chapter 1. Global AI-Based Supply Chain Management Tools Market – Scope & Methodology
1.1    Market Segmentation
1.2    Scope, Assumptions & Limitations
1.3    Research Methodology
1.4    Primary Sources
1.5    Secondary Sources
Chapter 2. Global AI-Based Supply Chain Management Tools Market– Executive Summary
2.1    Market Size & Forecast – (2025 – 2030) ($M/$Bn)
2.2    Key Trends & Insights
         2.2.1    Demand Side
         2.2.2    Supply Side
2.3    Attractive Investment Propositions
2.4    COVID-19 Impact Analysis
Chapter 3. Global AI-Based Supply Chain Management Tools Market – Competition Scenario
3.1    Market Share Analysis & Company Benchmarking
3.2    Competitive Strategy & Development Scenario
3.3    Competitive Pricing Analysis
3.4    Supplier-Distributor Analysis
Chapter 4. Global AI-Based Supply Chain Management Tools Market Entry Scenario
4.1    Regulatory Scenario
4.2    Case Studies – Key Start-ups
4.3    Customer Analysis
4.4    PESTLE Analysis
4.5    Porters Five Force Model
         4.5.1    Bargaining Power of Suppliers
         4.5.2    Bargaining Powers of Customers
         4.5.3    Threat of New Entrants
         4.5.4    Rivalry among Existing Players
         4.5.5    Threat of Substitutes
Chapter 5. Global AI-Based Supply Chain Management Tools Market – Landscape
5.1    Value Chain Analysis – Key Stakeholders Impact Analysis
5.2    Market Drivers
5.3    Market Restraints/Challenges
5.4    Market Opportunities
Chapter 6. Global AI-Based Supply Chain Management Tools Market – By Type
6.1    Introduction/Key Findings   
6.2    Demand Forecasting and Planning 
         6.2.1    Predictive Demand Analytics
         6.2.2    Inventory Optimization
6.3    Supplier Relationship Management 
         6.3.1    Supplier Selection and Evaluation
         6.3.2    Risk Mitigation and Monitoring
6.4    Warehouse Management 
         6.4.1    Inventory Tracking Systems
         6.4.2    Automated Picking and Packing
6.5    Logistics and Transportation Management 
         6.5.1    Route Optimization
         6.5.2    Dynamic Pricing and Load Matching
6.6    Risk and Compliance Management 
         6.6.1    Real-Time Risk Analysis
         6.6.2    Regulatory Compliance Monitoring
6.7    Production Planning and Scheduling 
         6.7.1    AI-Driven Production Line Optimization
         6.7.2    Predictive Maintenance Scheduling
6.8    Customer Experience and Order Fulfillment 
         6.8.1    AI-Driven Order Management
         6.8.2    Returns and Refund Optimization
6.9    Y-O-Y Growth trend Analysis By Type
6.10    Absolute $ Opportunity Analysis By Type, 2025-2030
 
Chapter 7. Global AI-Based Supply Chain Management Tools Market – By End user
7.1    Introduction/Key Findings   
7.2    Manufacturing 
         7.2.1    Automotive
         7.2.2    Electronics and Semiconductors
         7.2.3    Pharmaceuticals
7.3    Retail and E-commerce 
         7.3.1    Omnichannel Inventory Management
         7.3.2    Real-Time Demand Sensing
7.4    Healthcare and Life Sciences 
         7.4.1    Cold Chain Management
         7.4.2    Supply Chain for Medical Devices
7.5    Food and Beverage 
         7.5.1    Perishable Goods Management
         7.5.2    Inventory Turnover Optimization
7.6    Logistics and Transportation 
         7.6.1    Freight Management Companies
         7.6.2    Third-Party Logistics Providers
7.7    Energy and Utilities 
         7.7.1    Resource Allocation Optimization
         7.7.2    Supply Chain for Renewable Energy
7.8    Others 
         7.8.1    Construction and Infrastructure
         7.8.2    Aerospace and Defense
7.9    Y-O-Y Growth  trend Analysis By End user
7.10    Absolute $ Opportunity Analysis By End user, 2025-2030
 
Chapter 8. Global AI-Based Supply Chain Management Tools Market, By Geography – Market Size, Forecast, Trends & Insights
8.1. North America
                                8.1.1. By Country
                                                8.1.1.1. U.S.A.
                                                8.1.1.2. Canada 
                                                8.1.1.3. Mexico
                                8.1.2. By End User   
                                8.1.3. By Type 
                              8.1.4. Countries & Segments - Market Attractiveness Analysis
   8.2. Europe
                                8.2.1. By Country
                                                8.2.1.1. U.K.                         
                                                8.2.1.2. Germany
                                                8.2.1.3. France
                                                8.2.1.4. Italy
                                                8.2.1.5. Spain
                                                8.2.1.6. Rest of Europe
                                8.2.2. By End User   
                                8.2.3. By Type 
                                8.2.4. Countries & Segments - Market Attractiveness Analysis
8.3. Asia Pacific
                                8.3.1. By Country
                                                8.3.1.1. China
                                                8.3.1.2. Japan
                                                8.3.1.3. South Korea
                                                8.3.1.4. India      
                                                8.3.1.5. Australia & New Zealand
                                                8.3.1.6. Rest of Asia-Pacific
                                8.3.2. By End User   
                                8.3.3. By Type 
                                8.3.4. Countries & Segments - Market Attractiveness Analysis
8.4. South America
                                8.4.1. By Country
                                                8.4.1.1. Brazil
                                                8.4.1.2. Argentina
                                                8.4.1.3. Colombia
                                                8.4.1.4. Chile
                                                8.4.1.5. Rest of South America
                                8.4.2.  By End User   
                                8.4.3. By Type 
                                8.4.4. Countries & Segments - Market Attractiveness Analysis
8.5. Middle East & Africa
                                8.5.1. By Country
                                                8.5.1.1. United Arab Emirates (UAE)
                                                8.5.1.2. Saudi Arabia
                                                8.5.1.3. Qatar
                                                8.5.1.4. Israel
                                                8.5.1.5. South Africa
                                                8.5.1.6. Nigeria
                                                8.5.1.7. Kenya
                                                8.5.1.8. Egypt
                                                8.5.1.8. Rest of MEA
                              8.5.2. By End User   
                             8.5.3. By Type 
                             8.5.4. Countries & Segments - Market Attractiveness Analysis
Chapter 9. Global AI-Based Supply Chain Management Tools Market – Company Profiles – (Overview, Product Portfolio, Financials, Strategies & Developments)
9.1    ThroughPut AI
9.2    Logility
9.3    Blue Yonder
9.4    Oracle AI-powered Supply Chain Management
9.5    Kinaxis RapidResponse
9.6    IBM Watson Supply Chain
9.7    SAP Integrated Business Planning
9.8    Manhattan Associates
9.9    Llamasoft
9.10    Coupa Software

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