AI in Supply Chain Market Is Booming So Rapidly | Microsoft, Blue Yonder, Kinaxis

The Global AI in Supply Chain Market Size is estimated at $15.7 Billion in 2025 and is forecast to register an annual growth rate (CAGR) of 27.4% to reach $138.8 Billion by 2034.

The latest study released on the Global AI in Supply Chain Market by USD Analytics Market evaluates market size, trend, and forecast to 2034. The AI in Supply Chain market study covers significant research data and proofs to be a handy resource document for managers, analysts, industry experts and other key people to have ready-to-access and self-analyzed study to help understand market trends, growth drivers, opportunities and upcoming challenges and about the competitors.

Key Players in This Report Include:
IBM, SAP, Oracle, Microsoft, Google Cloud, Amazon Web Services (AWS), Blue Yonder, Manhattan Associates, Kinaxis, C3.ai, SAS, NVIDIA

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Definition:
The application of artificial intelligence in supply chain management to optimize logistics, demand forecasting, inventory management, and risk assessment, enhancing efficiency and reducing operational costs.

Market Drivers:
• AI-powered predictive analytics, Warehouse robotics, Real-time supply chain visibility

Market Trends:
• Growing need for supply chain resilience, Demand for operational efficiency, Expansion of e-commerce & logistics

Challenges:
• High implementation cost, Data integration challenges, Resistance to AI adoption

Major Highlights of the AI in Supply Chain Market report released by USD Analytics
By Offering (Software, Services), By Deployment (Cloud, On-Premises, Hybrid), By Organization Size (Large Organization, Small & Medium Organization), By Application (Demand Planning & Forecasting, Procurement & Sourcing, Inventory Management, Production Planning & Scheduling, Warehouse & Transportation Management, Supply Chain Risk Management, Others), By End-User (Retail, Healthcare & Pharmaceuticals, Food & Beverages, Automotive, Logistics & Transportation, Aerospace & Defense, Chemicals, Electronics & Semiconductor, Energy & Utilities, Manufacturing, Others).

Global AI in Supply Chain market report highlights information regarding the current and future industry trends, growth patterns, as well as it offers business strategies to helps the stakeholders in making sound decisions that may help to ensure the profit trajectory over the forecast years.

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Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
• The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
• North America (United States, Mexico & Canada)
• South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
• Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
• Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

Objectives of the Report
• -To carefully analyze and forecast the size of the AI in Supply Chain market by value and volume.
• -To estimate the market shares of major segments of the AI in Supply Chain market.
• -To showcase the development of the AI in Supply Chain market in different parts of the world.
• -To analyze and study micro-markets in terms of their contributions to the AI in Supply Chain market, their prospects, and individual growth trends.
• -To offer precise and useful details about factors affecting the growth of the AI in Supply Chain market.
• -To provide a meticulous assessment of crucial business strategies used by leading companies operating in the AI in Supply Chain market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.

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Major highlights from Table of Contents:
AI in Supply Chain Market Study Coverage:
• It includes major manufacturers, emerging player's growth story, and major business segments of AI in Supply Chain market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology.
• AI in Supply Chain Market Executive Summary: It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.
• AI in Supply Chain Market Production by Region AI in Supply Chain Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.

Key Points Covered in AI in Supply Chain Market Report:
• AI in Supply Chain Overview, Definition and Classification Market drivers and barriers
• AI in Supply Chain Market Competition by Manufacturers
• AI in Supply Chain Capacity, Production, Revenue (Value) by Region (2025-2034)
• AI in Supply Chain Supply (Production), Consumption, Export, Import by Region (2025-2034)
• AI in Supply Chain Production, Revenue (Value), Price Trend by Type {Machine Learning-based Analytics, AI-driven Robotic Process Automation, Computer Vision for Logistics}
• AI in Supply Chain Market Analysis by Application {Demand Forecasting, Inventory Optimization, Route Optimization, Supplier Risk Management, Warehouse Automation}
• AI in Supply Chain Manufacturers Profiles/Analysis AI in Supply Chain Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing
• Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis.

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Key questions answered
• How feasible is AI in Supply Chain market for long-term investment?
• What are influencing factors driving the demand for AI in Supply Chain near future?
• What is the impact analysis of various factors in the Global AI in Supply Chain market growth?
• What are the recent trends in the regional market and how successful they are?

Thanks for reading this article; you can also get individual chapter-wise sections or region-wise report versions like North America, LATAM, Europe, or Southeast Asia.

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Harry (Business Consultant)
USD Analytics Market
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This release was published on openPR.