Strong Growth Ahead: Machine Learning in Supply Chain Management Market Size To Grow At Arecord 23.9% Cagr By 2029

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How Big Is the Machine Learning in Supply Chain Management Market Size Expected to Be by 2034?
Significant growth has been observed in the machine learning in supply chain management market in the past few years. The market size is projected to increase from $8.32 billion in 2024 to $10.34 billion in 2025, with a compound annual growth rate (CAGR) of 24.2%. This upward trajectory during the historic period is largely due to enhanced operational efficiency, the rising need for predictive analysis, increased automation within logistics, a surge in data-informed decision making, and significant improvements in the accuracy of demand forecasting.

In the coming years, we anticipate significant expansion in the machine learning in supply chain management market. The market will balloon to $24.39 billion by 2029, with an impressive compound annual growth rate (CAGR) of 23.9%. This growth within the prediction period is mostly due to factors like the adoption of digital transformation, heightened market instability, focus on sustainability, the boom in e-commerce, the increase in data-oriented decision-making, and the escalating demand for automation and data-powered decision-making in logistics. The forecast period will be characterized by various trends including improved inventory management solutions, real-time visibility of supply chains, risk management through AI insights, cloud-based supply chain solutions for better collaboration, and AI-enabled solutions for optimizing warehouses.

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What Are the Emerging Segments Within the Machine Learning in Supply Chain Management Market?
The machine learning in supply chain management market covered in this report is segmented -

1) By Component: Software, Services
2) By Technology: Artificial Intelligence, Deep Learning, Natural Language Processing, Predictive Analytics
3) By Deployment Mode: Cloud-Based, On-Premises
4) By Application: Demand Forecasting, Inventory Management, Supplier Selection, Logistics Optimization, Risk Management
5) By End-User: Retail And E-Commerce, Manufacturing, HealTH*Care, Automotive, Food And Beverage, Consumer Goods, Other End-Users

Subsegments:
1) By Software: Demand Forecasting Software, Warehouse Management Software (WMS), Transportation Management Systems (TMS), Inventory Optimization Software, Procurement And Sourcing Analytics Tools, Supply Chain Planning Software, Risk Management And Compliance Software
2) By Services: Managed Services, Professional Services, Consulting Services, Training And Support Services

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What Long-Term Drivers Are Shaping Machine Learning in Supply Chain Management Market Trends?
The continuous expansion of automation within the logistics sector is set to boost the machine learning in supply chain management market's development in the future.
In this sector, automation implies using robotics, AI, and software programs to efficiently carry out and enhance supply chain procedures with limited human input. As it escalates effectiveness, minimizes expenses, and accommodates increasing e-commerce needs by utilizing technology for better operational expansion and customer contentment, automation in logistics is witnessing growth. Machine learning fortifies supply chain management by facilitating predictive analysis, demand prediction, and instantaneous decision-making. It also aids logistics automation through pathways improvement, warehouse robotics, and smart inventory management. For instance, figures from the International Federation of Robotics (IFR), a Germany-based trade group, in 2023, indicated that the tally of operational robots in factories globally touched 4,281,585 units, posting a 10% rise from the 2022 count of 3,904,000 units. Hence, the proliferation of automation in logistics escalates the growth of the machine learning in supply chain management market.

Who Are the Top Competitors in Key Machine Learning in Supply Chain Management Market Segments?
Major companies operating in the machine learning in supply chain management market are Amazon.com Inc., Microsoft Corporation, Deutsche Post AG, FedEx Corporation, Mærsk A/S, Siemens AG, International Business Machines Corporation, Oracle Corporation, SAP SE, Ferguson Enterprises LLC, Zoetop Business Co. Ltd., H&M Hennes & Mauritz AB, J. C. Penney Corporation Inc., ALTANA AG, Koch Industries Inc., Industria de Diseño Textil S.A., FourKites Inc., Noodle.ai Inc., Lokad SAS, Garvis Inc., Logility Inc.

What Machine Learning in Supply Chain Management Market Trends Are Gaining Traction Across Different Segments?
Renowned corporations in the machine learning in supply chain management market are putting their efforts into creating state-of-the-art solutions, including artificial intelligence (AI) assistants for supply chain management, in order to boost decision-making capacity, refine operations, and bolster overall efficacy. An AI assistant in this context signifies an intelligent software mechanism that employs AI to streamline and enhance supply chain activities like forecasting, managing inventory, and planning logistics. For instance, in February 2024, One Network Enterprises, a supplier of digital supply chain solutions based in the US, launched the NEO Assistant, a revolutionary AI tool specifically designed for supply chain management. This advanced platform harnesses the power of AI and machine learning (ML) to facilitate real-time tracking, intelligent suggestions, and interactive visualization. NEO Assistant merges AI-prompted insights with ML-facilitated predictive analytics, thereby improving decision-making and operational fluidity across intricate logistics systems. The tool provides users with practical advices and simplified problem-solving methods, proving immensely efficient in maneuvering ever-changing supply chain scenarios.

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Which Regions Are Becoming Hubs for Machine Learning in Supply Chain Management Market Innovation?
North America was the largest region in the machine learning in supply chain management market in 2024. The regions covered in the machine learning in supply chain management market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Frequently Asked Questions:
1. What Is the Market Size and Growth Rate of the Machine Learning in Supply Chain Management Market?
2. What is the CAGR expected in the Machine Learning in Supply Chain Management Market?
3. What Are the Key Innovations Transforming the Machine Learning in Supply Chain Management Industry?
4. Which Region Is Leading the Machine Learning in Supply Chain Management Market?

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