AI in Supply Chain Market Size, Share, Forecast, & Trends Analysis by Offering (Hardware, Software, Other), Technology (ML, NLP, RPA, Other), Deployment Mode, Application (Demand Forecasting, Other), End-use Industry (Manufacturing, Retail, F&B, Other) &

AI in Supply Chain Market Size, Share, Forecast, & Trends Analysis by Offering (Hardware, Software, Other), Technology (ML, NLP, RPA, Other), Deployment Mode, Application (Demand Forecasting, Other), End-use Industry (Manufacturing, Retail, F&B, Other) & Geography - Global Forecasts to 2031

Global AI in Supply Chain Market - Report Summary

Report Metrics	Details
Years Considered	2022 2031
Base Year	2023
Forecast Period	2024-2031
Page Count	282
Units Referenced	Value (USD Million)
Segments/Key Topics	Market by Offering, Technology, Deployment Mode, Application, and End-use Industry
Regions Covered	North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa
Key Companies Mentioned	IBM Corporation (U.S.), SAP SE (Germany), Microsoft Corporation (U.S.), Google LLC (U.S.), Amazon Web Services, Inc. (U.S.), Intel Corporation (U.S.), NVIDIA Corporation (U.S.), Oracle Corporation (U.S.), C3.ai, Inc. (U.S.), Samsung SDS CO., Ltd. (South Korea), Coupa Software Inc. (U.S.), Micron Technology, Inc. (U.S.), Advanced Micro Devices, Inc. (U.S.), FedEx Corporation (U.S.), and Deutsche Post DHL Group (Germany).

FAQs About the Report

What is the value of revenue generated from the sales of AI in supply chain market across the globe? At what rate is their demand expected to grow for the next 5–7 years?

The global AI in supply chain market is expected to reach $58.55 billion by 2031, at a CAGR of 40.4% from 2024 to 2031.

Which offering segment of the market is projected to create more traction in the AI in supply chain market?

Based on offering, the global AI in supply chain market is segmented into hardware, software, and services. In 2024, the hardware segment is expected to account for the largest share of the global AI in supply chain market. However, the software segment is expected to record the highest CAGR during the forecast period. The growth of this segment is driven by the rising focus on product development and the enhancement of supply chain software, and the benefits offered by supply chain software in facilitating supply chain visibility and centralized operations.

Which technology segment of the market is projected to create more traction in the AI in supply chain market?

Based on technology, the global AI in supply chain market is segmented into machine learning, computer vision, natural language processing, context-aware computing, and robotic process automation. In 2024, the machine learning segment is expected to account for the largest share of the global AI in supply chain market. However, the robotic process automation segment is expected to record the highest CAGR during the forecast period. The growth of this segment is driven by the increased adoption of RPA across various industries and the rising demand for automating business processes to meet heightened customer expectations.

Which deployment mode segment of the market is projected to create more traction in the AI in supply chain market?

Based on deployment mode, the global AI in supply chain market is segmented into cloud-based deployments and on-premise deployments. In 2024, the cloud-based deployments segment is expected to account for the larger share of the global AI in supply chain market. Moreover, the cloud-based deployments segment is expected to record the highest CAGR during the forecast period. The rapid development of new security measures for cloud-based deployments is expected to drive the growth of this segment in the coming years.

Which application segment of the market is projected to create more traction in the AI in supply chain market?

Based on application, the global AI in supply chain market is segmented into demand forecasting, supply chain planning, warehouse management, fleet management, risk management, inventory management, predictive maintenance, real-time supply chain visibility, and other applications. In 2024, the demand forecasting segment is expected to account for the largest share of the global AI in supply chain market. However, the real-time supply chain visibility segment is expected to record the highest CAGR during the forecast period. The growth of this segment is driven by the rising integration of AI capabilities in supply chains to get real-time data on supply chains.

Which end-use industry segment of the market is projected to create more traction in the AI in supply chain market?

Based on end-use industry, the global AI in supply chain market is segmented into manufacturing, food and beverage, healthcare & pharmaceuticals, automotive, retail, building & construction, medical devices & consumables, aerospace & defense, and other end-use industries. In 2024, the manufacturing segment is expected to account for the largest share of the global AI in supply chain market. However, the retail segment is expected to record the highest CAGR during the forecast period. The growth of this segment is driven by the rising integration of AI capabilities in the retail supply chain for forecast inventory and demand and the growing focus of retailers to meet consumer expectations.

What are the key factors driving the growth of the AI in supply chain market? What are the major opportunities for existing market players and new entrants?

The growth of the AI in supply chain market is driven by the increasing incorporation of artificial intelligence in supply chain operations and the rising need for greater visibility & transparency in supply chain processes. Furthermore, the growing demand for AI-based business automation solutions is expected to generate growth opportunities for the players operating in this market.

Who are the major players operating in the global AI in supply chain market?

The key players operating in the global AI in supply chain market are IBM Corporation (U.S.), SAP SE (Germany), Microsoft Corporation (U.S.), Google LLC (U.S.), Amazon Web Services, Inc. (U.S.), Intel Corporation (U.S.), NVIDIA Corporation (U.S.), Oracle Corporation (U.S.), C3.ai, Inc. (U.S.), Samsung SDS CO., Ltd. (South Korea), Coupa Software Inc. (U.S.), Micron Technology, Inc. (U.S.), Advanced Micro Devices, Inc. (U.S.), FedEx Corporation (U.S.), and Deutsche Post DHL Group (Germany).

Which regions/countries are expected to witness significant demand for AI in supply chain in the coming years?

Asia-Pacific is projected to register the highest growth rate over the coming years.The research report titled ‘Global AI in Supply Chain Market by Offering (Hardware, Software, Other), Technology (ML, NLP, RPA, Other), Deployment Mode, Application (Demand Forecasting, Other), End-use Industry (Manufacturing, Retail, F&B, Other) & Geography—Forecasts to 2031’, provides in-depth analysis of AI in supply chain market across five major geographies and emphasizes on the current market trends, market sizes, market shares, recent developments, and forecasts till 2031.

The AI in supply chain market is projected to reach $58.55 billion by 2031, at a CAGR of 40.4% from 2024 to 2031. The growth of this market is driven by the increasing incorporation of artificial intelligence in supply chain operations and the rising need for greater visibility & transparency in supply chain processes. However, the high procurement and operating costs of AI-based supply chain solutions and the lack of supporting infrastructure restrain the growth of this market.

Furthermore, the growing demand for AI-based business automation solutions is expected to generate growth opportunities for the players operating in this market. However, performance issues in integrating data from multiple sources and data security & privacy concerns are major challenges impacting market growth. Additionally, the rising demand for cloud-based supply chain solutions is a prominent trend in the AI in supply chain market.

Based on offering, the global AI in supply chain market is segmented into hardware, software, and services. In 2024, the hardware segment is expected to account for the largest share of the global AI in supply chain market. The large market share of this segment is attributed to advancements in data center capabilities, the growing need for storage hardware due to increasing storage requirements for AI applications, the crucial need for constant connectivity in the supply chain operations, and the emphasis on product development and enhancement by manufacturers. For instance, in January 2023, Intel Corporation launched its 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids), the Intel Xeon CPU Max Series (code-named Sapphire Rapids HBM), and the Intel Data Center GPU Max Series (code-named Ponte Vecchio). These new processors deliver significant improvements in data center performance, efficiency, security, and AI capabilities.

However, the software segment is expected to record the highest CAGR during the forecast period. The growth of this segment is driven by the rising focus on product development and the enhancement of supply chain software, and the benefits offered by supply chain software in facilitating supply chain visibility and centralized operations.

Based on technology, the global AI in supply chain market is segmented into machine learning, computer vision, natural language processing, context-aware computing, and robotic process automation. In 2024, the machine learning segment is expected to account for the largest share of the global AI in supply chain market. The large market share of this segment is attributed to the advancements in data center capabilities, increasing deployment of machine learning solutions and its ability to perform tasks without relying on human input, and the rapid adoption of cloud-based technology across several industries. For instance, in June 2022, FedEx Corporation (U.S.) invested in FourKites, Inc. (U.S.), a supply chain visibility startup. This strategic collaboration allows FedEx to leverage its machine learning and AI capabilities with data from FedEx, enhancing its operational efficiency and visibility.

However, the robotic process automation segment is expected to record the highest CAGR during the forecast period. This segment's growth is driven by the increased adoption of RPA across various industries and the rising demand for automating business processes to meet heightened customer expectations.

Based on deployment mode, the global AI in supply chain market is segmented into cloud-based deployments and on-premise deployments. In 2024, the cloud-based deployments segment is expected to account for the larger share of the global AI in supply chain market. The large market share of this segment is attributed to the increasing avenues for cloud-based deployments, the superior flexibility and affordability offered by cloud-based deployments, and the increasing adoption of cloud-based solutions by small & medium-sized enterprises.

Moreover, the cloud-based deployments segment is expected to record the highest CAGR during the forecast period. The rapid development of new security measures for cloud-based deployments is expected to drive this segment's growth in the coming years.

Based on application, the global AI in supply chain market is segmented into demand forecasting, supply chain planning, warehouse management, fleet management, risk management, inventory management, predictive maintenance, real-time supply chain visibility, and other applications. In 2024, the demand forecasting segment is expected to account for the largest share of the global AI in supply chain market. The large market share of this segment is attributed to the rising initiatives to integrate AI capabilities in supply chain solutions, dynamic changes in customer behaviors and expectations, and the rising need to achieve accuracy and resilience in the supply chain. For instance, in March 2023, Zionex, Inc. (South Korea), a prominent provider of advanced supply chain and integrated business planning platforms, launched PlanNEL Beta. This AI-powered SaaS platform is designed for demand forecasting and inventory optimization.

However, the real-time supply chain visibility segment is expected to record the highest CAGR during the forecast period. This segment's growth is driven by the rising integration of AI capabilities into supply chains to obtain real-time data on them.

Based on end-use industry, the global AI in supply chain market is segmented into manufacturing, food and beverage, healthcare & pharmaceuticals, automotive, retail, building & construction, medical devices & consumables, aerospace & defense, and other end-use industries. In 2024, the manufacturing segment is expected to account for the largest share of the global AI in supply chain market. The large market share of this segment is attributed to the increasing number of manufacturing companies, favorable initiatives to integrate artificial capabilities in the supply chain, and the increasing focus on achieving accuracy and resilience in the supply chain among manufacturers.

However, the retail segment is expected to record the highest CAGR during the forecast period. This segment's growth is driven by the rising integration of AI capabilities in the retail supply chain to forecast inventory and demand and retailers' growing focus on meeting consumer expectations.

Based on geography, the AI in supply chain market is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. In 2024, Asia-Pacific is expected to account for the largest share of the global AI in supply chain market. The large market share of this region is attributed to the rapid pace of digitalization and modernization across industries, the advent of Industry 4.0, and the growing adoption of advanced technologies across various businesses.

Moreover, the Asia-Pacific region is projected to record the highest CAGR during the forecast period. The growth of this market is driven by the proliferation of advanced supply chain solutions, the rising deployment of AI tools across the region, and efforts by major market players to implement AI technology across various sectors.

Key Players:

Some of the key players operating in the AI in supply chain market are IBM Corporation (U.S.), SAP SE (Germany), Microsoft Corporation (U.S.), Google LLC (U.S.), Amazon Web Services, Inc. (U.S.), Intel Corporation (U.S.), NVIDIA Corporation (U.S.), Oracle Corporation (U.S.), C3.ai, Inc. (U.S.), Samsung SDS CO., Ltd. (South Korea), Coupa Software Inc. (U.S.), Micron Technology, Inc. (U.S.), Advanced Micro Devices, Inc. (U.S.), FedEx Corporation (U.S.), and Deutsche Post DHL Group (Germany).

Key questions answered in the report-

Which are the high-growth market segments based on offering, technology, deployment mode, application, and end-use industry?
What was the historical market for AI in supply chain?
What are the market forecasts and estimates for the period 2024–2031?
What are the major drivers, restraints, and opportunities in AI in supply chain market?
Who are the major players in the AI in supply chain market?
What is the competitive landscape like in the AI in supply chain market?
What are the recent developments in AI in supply chain market?
What are the different strategies adopted by the major players in AI in supply chain market?
What are the key geographic trends, and which are the high-growth countries?
Who are the local emerging players in the global AI in supply chain market, and how do they compete with the other players?

Scope of the report:

AI in Supply Chain Market Assessment, by Offering

Hardware
Processors
Networking
Storage
Software
Services
Deployment & Integration Services
Support & Maintenance Services
Consulting Services
Connectivity Services

AI in Supply Chain Market Assessment, by Technology

Machine Learning
Computer Vision
Natural Language Processing
Context-aware Computing
Robotic Process Automation

AI in Supply Chain Market Assessment, by Deployment Mode

Cloud-based Deployments
On-premise Deployments

AI in Supply Chain Market Assessment, by Application

Demand Forecasting
Supply Chain Planning
Warehouse Management
Fleet Management
Inventory Management
Real-time Supply Chain Visibility
Other Applications

AI in Supply Chain Market Assessment, by End-Use Industry

Manufacturing
Food and Beverage
Healthcare & Pharmaceuticals
Automotive
Retail
Building & Construction
Medical Devices & Consumables
Aerospace & Defense
Other End-use Industries

AI in Supply Chain Market Assessment, by Geography

North America
U.S.
Canada
Europe
Germany
U.K.
France
Italy
Spain
Sweden
Rest of Europe
Asia-Pacific
China
Japan
India
South Korea
Singapore
Rest of Asia-Pacific
Latin America
Brazil
Mexico
Rest of Latin America
Middle East & Africa
UAE
Israel
Rest of the Middle East & Africa