Global Artificial Intelligence in Supply Chain Market Size to worth USD 98.05 Billion by 2033: Market Insight Report

RELEASE DATE: Mar 2025 Author: Spherical Insights
The Global Artificial Intelligence in Supply Chain Market Size is Expected to Grow from USD 47.75 Billion in 2023 to USD 98.05 Billion by 2033, at a CAGR of 7.46% during the forecast period 2023-2033.

Table of Contents

Historical Data, Premium Insights, Market Dynamic, Analysis and Projection, By Product, Analysis and Projection, By Application, Analysis and Projection, By End-Use, Analysis and Projection, By Regional Analysis, Competitive Landscape, Company Profiles, Market Revenue, Sale & Price Analysis


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Global Artificial Intelligence in Supply Chain Market Size to worth USD 98.05 Billion by 2033

According to a research report published by Spherical Insights & Consulting, The Global Artificial Intelligence in Supply Chain Market Size is Expected to Grow from USD 47.75 Billion in 2023 to USD 98.05 Billion by 2033, at a CAGR of 7.46% during the forecast period 2023-2033.  

 

Browse key industry insights spread across 210 pages with 110 Market data tables and figures & charts from the report on the Global Artificial Intelligence in Supply Chain Market Size, Share, and COVID-19 Impact Analysis, By Component (Software, Network, Hardware, FPGA, GPU, and ASIC), By Application (Supply Chain Planning, Warehouse Management, Fleet Management, Virtual Assistant, Risk Management, Inventory Management, and Planning & Logistics), By End-use (Manufacturing, Food & Beverages, Healthcare, Automotive, Aerospace, Retail, Consumer-Packaged Goods, and Others), and By Region (North America, Europe, Asia-Pacific, Latin America, Middle East, and Africa), Analysis and Forecast 2023 – 2033.        

   

Artificial intelligence in supply chain refers to the revolutionization of planning, production, management, and optimization of supply chain activities. AI can improve supply chain decision-making and operational efficiency by analyzing enormous volumes of data, forecasting trends, and carrying out intricate operations in real-time. Organizations are facing difficulties in supplying or procuring raw materials, components, and products owing to supply chain disruptions. Thus, AI-based supply chain solutions provide real-time data, allowing predictive analysis and aiding organizations to foresee and mitigate potential disruptions. The increasing implementation of big data for improving supply chain efficiency is driving the AI in supply chain market. The increasing e-commerce surges the need for streamlined and efficient supply chains, thereby contributing to propelling market growth. On the contrary, the increased procurement and operating costs of AI-based supply chain solutions as well as the lack of supporting infrastructure are challenging the market growth.     

 

The software segment is expected to account for the largest share during the forecast period.

Based on the component, the global artificial intelligence in the supply chain market is divided into software, network, hardware, FPGA, GPU, and ASIC. Among these, the software segment is expected to account for the largest share during the forecast period. Demand forecasting, inventory optimization, predictive maintenance, and automated decision-making are among a few of the several supply chain functions that AI software provides.

 

The supply chain planning segment dominated the market with the largest revenue share in 2023.

Based on the application, the global artificial intelligence in the supply chain market is divided into supply chain planning, warehouse management, fleet management, virtual assistant, risk management, inventory management, and planning & logistics. Among these, the supply chain planning segment dominated the market with the largest revenue share in 2023. AI in supply chain planning comprises processes and tools that can handle highly effective mass data.

 

The automotive segment held the largest market share of artificial intelligence in the supply chain market in 2023.

Based on the end-use, the global artificial intelligence in the supply chain market is divided into manufacturing, food & beverages, healthcare, automotive, aerospace, retail, consumer-packaged goods, and others. Among these, the automotive segment held the largest market share of artificial intelligence in the supply chain market in 2023. The segment involves a vast network of suppliers, manufacturers, distributors, and retailers which is critical for automotive companies to ensure high-quality vehicles for on-time and cost-effective delivery.

 

North America is projected to hold the largest share of the global artificial intelligence supply chain market over the forecast period.

North America is projected to hold the largest share of the global artificial intelligence supply chain market over the forecast period. Supply chain AI technologies facilitate work automation, data analysis, and insight discovery. It raises the supply chain’s levels of agility while improving efficiency and transparency. Further, the intense competition in the region, pressure to reduce costs, and maintaining high levels of customer service are promoting market growth.

 

Asia Pacific is predicted to grow at the fastest CAGR in the artificial intelligence supply chain market over the forecast period. The advantage of the tech-savvy population and the popularity of IoT in the region are responsible for driving the AI in supply chain market. Further, the growing adoption of deep learning and NLP technologies in industries like automotive, retail, and manufacturing among consumers is propelling market growth.

 

Company Profiling 

Major key players in the artificial intelligence supply chain market include Advanced Micro Devices, Inc., Alibaba.com, Amazon.com, Inc., Deutsche Post DHL Group, FedEx, International Business Machines Corporation, Intel Corporation, Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, Samsung, SAP SE, and Others.

 

Key Target Audience

  • Market Players
  • Investors
  • End-users
  • Government Authorities 
  • Consulting And Research Firm
  • Venture capitalists
  • Value-Added Resellers (VARs)

 

Recent Developments

  • In April 2024, SAP SE announced AI advancements in its supply chain solutions that would unleash a transformative wave of productivity, efficiency, and precision in manufacturing. AI-driven insights from real-time data would help companies optimize decisions across their supply chains, streamline product development, and improve manufacturing efficiency.

 

  • In January 2024, to preempt and mitigate supply chain risks in global markets, Lenovo created Supply Chain Intelligence (SCI)—an AI-powered solution that continuously analyzes supply chain data to identify potential issues and resolve them in real time.

 

Market Segment

This study forecasts revenue at global, regional, and country levels from 2023 to 2033. Spherical Insights has segmented the global artificial intelligence in the supply chain market based on the below-mentioned segments:

 

Global Artificial Intelligence in Supply Chain Market, By Component

  • Software
  • Network
  • Hardware
  • FPGA
  • GPU
  • ASIC

 

Global Artificial Intelligence in Supply Chain Market, By Application

  • Supply Chain Planning
  • Warehouse Management
  • Fleet Management
  • Virtual Assistant
  • Risk Management
  • Inventory Management
  • Planning & Logistics

 

Global Artificial Intelligence in Supply Chain Market, By End-use

  • Manufacturing
  • Food & Beverages
  • Healthcare
  • Automotive
  • Aerospace
  • Retail
  • Consumer-Packaged Goods
  • Others

 

Global Artificial Intelligence in Supply Chain Market, Regional Analysis

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • Uk
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Middle East & Africa
    • UAE
    • Saudi Arabia
    • Qatar
    • South Africa
    • Rest of the Middle East & Africa

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