Global Artificial Intelligence in Supply Chain Market Size, Share, and COVID-19 Impact Analysis, By Offering (Hardware, Software, and Services), 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 2025 - 2035

Global Artificial Intelligence in Supply Chain Market Insights Forecasts to 2035

• The Global Artificial Intelligence in Supply Chain Market Size Was Estimated at USD 6.5 Billion in 2024
• The Market Size is Expected to Grow at a CAGR of around 38.75% from 2025 to 2035
• The Worldwide Artificial Intelligence in Supply Chain Market Size is Expected to Reach USD 238.5 Billion by 2035
• Asia Pacific is Expected to Grow the fastest during the forecast period.

The Global Artificial Intelligence in Supply Chain Market size was worth around USD 6.5 Billion in 2024 and is predicted to grow to around USD 238.5 Billion by 2035 with a compound annual growth rate (CAGR) of 38.75% from 2025 to 2035. The growing adoption of AI-driven automation and real-time monitoring solutions is responsible for driving the artificial intelligence in supply chain market.

Market Overview

The artificial intelligence in the supply chain market is the industry encompassing the application of artificial intelligence techniques for optimizing and managing various aspects of the supply chain, from planning and procurement to logistics and delivery. AI in supply chain includes the prediction of demand, effective management of inventory, streamlining logistics, and improvement in decision-making. An increased complexity, rising customer expectations, and demand for real-time decision making are the factors that are promoting artificial intelligence in the supply chain market. Further, the growing investments in AI for building a competitive edge and supply networks evolving needs with the upsurging digital transformation across diverse industrial settings aid in driving the market growth. Rapid technological advancements, including cloud computing, advanced algorithms, and AI platforms for enhancing cost-effectiveness and accessibility, lead to an escalation of the market growth opportunities.

Report Coverage

This research report categorizes the artificial intelligence in supply chain market based on various segments and regions, forecasts revenue growth, and analyzes trends in each submarket. The report analyses the key growth drivers, opportunities, and challenges influencing the artificial intelligence in supply chain market. Recent market developments and competitive strategies such as expansion, type launch, development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key market players and analyses their core competencies in each sub-segment of the artificial intelligence in supply chain market.

Driving Factors

An increasing implementation of big data and AI technologies is contributing to driving the market for artificial intelligence in supply chain. Further, the incorporation of AI for improving customer satisfaction is propelling the market growth. The rising demand and adoption of AI-driven automation and real-time monitoring solutions aid in enhancing the market demand. The use of robotics and computer vision for automating warehouse operations, reducing the margin of errors, and accelerating order fulfilment are the factors that further accelerate the market growth.

Restraining Factors

An increased implementation cost as well as complexities associated with modern AI applications are challenging the artificial intelligence in supply chain market.

Market Segmentation

The artificial intelligence in supply chain market share is classified into offering, application, and end use.

• The software segment dominated the market with the largest revenue share in 2024 and is projected to grow at a substantial CAGR during the forecast period.

Based on the offering, the artificial intelligence in supply chain market is divided into hardware, software, and services. Among these, the software segment dominated the market with the largest revenue share in 2024 and is projected to grow at a substantial CAGR during the forecast period. As per the size and complexity of the supply chain, AI software can be easily scaled up or down. The use of AI software for enhancing supply chain management by improving efficiency, accuracy, and resilience is propelling the market.

• The supply chain planning segment accounted for the largest revenue share in 2024 and is anticipated to grow at a significant CAGR during the forecast period.

Based on the application, the artificial intelligence in 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 accounted for the largest revenue share in 2024 and is anticipated to grow at a significant CAGR during the forecast period. AI aids in improving forecasting accuracy, optimizing inventory levels, and enhancing overall efficiency in supply chain planning. The use of AI in the business for maintaining optimal inventory levels and avoiding stockouts and overstocking is driving the market.

• The automotive segment accounted for the largest revenue share in 2024 and is anticipated to grow at a significant CAGR during the forecast period.

Based on the end use, the artificial intelligence in supply chain market is divided into manufacturing, food & beverages, healthcare, automotive, aerospace, retail, consumer-packaged goods, and others. Among these, the automotive segment accounted for the largest revenue share in 2024 and is anticipated to grow at a significant CAGR during the forecast period. AI in the automotive industry aids in enhancing vehicle design, optimizing manufacturing processes, and delivering superior driving experiences. Advancements in AI-powered quality control systems for ensuring advanced vehicles meet strict safety and performance standards drive the market growth.

Regional Segment Analysis of the Artificial Intelligence in Supply Chain Market

• North America (U.S., Canada, Mexico) 
• Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
• Asia-Pacific (China, Japan, India, Rest of APAC)
• South America (Brazil and the Rest of South America) 
• The Middle East and Africa (UAE, South Africa, Rest of MEA)

North America is anticipated to hold the largest share of the artificial intelligence in supply chain market over the predicted timeframe.

North America is anticipated to hold the largest share of the artificial intelligence in supply chain market over the predicted timeframe. Companies' intense competition and pressure to reduce costs and maintain customer service aid in driving regional market growth. The rising adoption of AI in supply chain operations and demand for AI-based business automations, along with growing focus on visibility and transparency, are propelling the market growth.

Asia Pacific is expected to grow at a rapid CAGR in the artificial intelligence in supply chain market during the forecast period. An increasing adoption of AI for supply chain management, driven by the region’s economic landscape and technological advancements, will ultimately lead to propel the market. Further, the rapid digitalization, industry 4.0 adoption, and government support for AI and intelligent manufacturing are contributing to propelling the market.

Europe is anticipated to hold a substantial share of the artificial intelligence in supply chain market during the forecast period. An aging workforce and labor shortages in logistics and manufacturing in the region are driving the need for AI, thereby escalating the market growth. It was estimated that approximately 13.48% of EU enterprises reported using AI technologies, with large enterprises leading the way at 41.17% in the year 2024. The push towards digital transformation in supply chain planning is contributing to accelerating market growth. 

Competitive Analysis:

The report offers the appropriate analysis of the key organizations/companies involved within the artificial intelligence in supply chain market, along with a comparative evaluation primarily based on their type of offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborative analysis focusing on the current news and developments of the companies, which includes type development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market.

• List of Key Companies
• 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
• Others

Key Target Audience

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

Recent Development

• 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 will help companies optimise decisions across their supply chains, streamline product development and improve manufacturing efficiency.
• In April 2024, Vitesco Technologies and DHL entered into a strategic partnership. Vitesco Technologies focuses on maximum sustainability, resilience, and efficiency in logistics. Key to this is a new strategic partnership with DHL Supply Chain as a Lead Logistics Partner (LLP).  

Market Segment

This study forecasts revenue at global, regional, and country levels from 2020 to 2035. Spherical Insights has segmented the artificial intelligence in supply chain market based on the below-mentioned segments: 

Global Artificial Intelligence in Supply Chain Market, By Offering

• Hardware
• Software
• Services

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, By 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