The research report titled ‘AI in Supply Chain Market by Offering (Hardware, Software, Services), Technology (ML, NLP, Others), Application (Demand Forecasting, Others) Deployment Mode, End Use Industry (Manufacturing, F&B, Retail, Others) & Geography - Forecasts to 2030’, 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 2030.
The global AI in the supply chain market is projected to reach $41.23 billion by 2030, at a CAGR of 38.8% during the forecast period 2023-2030. 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 and transparency in supply chain processes. However, high procurement and operating costs and the lack of infrastructure restrain the growth of this market.
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 privacy & security concerns are major challenges for 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 2023, the hardware 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.
However, the software segment is expected to record the highest CAGR during the forecast period. The growth of this segment is driven by a strong focus on product developments and enhancement of supply chain software, the benefits of supply chain software to help in supply chain visibility, and the ability of supply chain software to centralize 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 2023, 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.
However, the robotic process automation segment is expected to record the highest CAGR during the forecast period. Several players focus on product enhancement to automate repetitive business processes. For instance, in October 2021, Berkshire Grey Inc. (U.S.), the leader in AI-enabled robotic solutions that automate supply chain processes, partnered with Atos (France) to accelerate automation of supply chain operations. This development aimed to bring Intelligent Enterprise Robotic solutions to retail, transportation, and logistics (RTL) customers, enabling them to overcome strained supply chains. The growth of this segment is driven by higher adoption of RPA across various industries, increasing demand for automation of business processes, and higher customer expectations.
Based on deployment mode, the global AI in supply chain market is segmented into cloud-based deployments and on-premise deployments. In 2023, 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 evolution of new security avenues for cloud-based deployments is expected to drive the growth of the cloud-based deployments segment 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 2023, 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 to supply chain.
However, the real-time supply chain visibility segment is expected to record the highest CAGR during the forecast period. Many businesses are integrating AI capabilities to get a real-time picture of supply chains. For instance, in May 2023, Osa Commerce (U.S.), an innovative supply chain technology provider for brands and retailers partnered with Windward Ltd (Israel), the leading Maritime AI™ company. The collaboration will allow Osa Commerce to integrate Windward's real-time maritime insights and analytics into its e-commerce solutions, adding to its supply chain visibility and efficiency ecosystem. The growth of this segment is driven by the rising integration of AI capabilities in supply chains to get a real-time picture of supply chains.
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 2023, 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 manufacturers’ vision to achieve accuracy and resilience in the supply chain.
However, the retail segment is expected to record the highest CAGR during the forecast period. Artificial intelligence makes a huge difference in retail supply chain optimization, as there’s a greater need for fast delivery to shops and consumers and an increasing focus on tight inventory control. Artificial intelligence provides various benefits to retailers, such as forecasting and modeling trends using predictive and prescriptive analytics and improving supplier deliveries' speed, accuracy, and quality. 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.
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 2023, Asia-Pacific is expected to account for the largest share of the global AI in supply chain market. In Asia-Pacific, the level of awareness has increased as governments have come to understand the potential for the advancement of AI in the economy.
Growing advancements in supply chain solutions are leading various businesses to deploy supply chain solutions to adopt advanced decision-making capabilities. For instance, in March 2023, Sabre GLBL Inc. (U.S.), a leading software and technology provider, announced the successful implementation of its Revenue Optimizer and Dynamic Availability solutions at Virgin Australia Airlines Pty Ltd (Australia). Rising supply chain solutions, countries increasing focus on artificial intelligence deployment, and increased collaborative efforts are the key growth drivers for the regional market.
Key Players:
Some of the key players operating in the AI in supply chain market are Intel Corporation (U.S.), Microsoft Corporation (U.S.), Amazon Web Services, Inc. (U.S.), Google LLC (U.S.), NVIDIA Corporation (U.S.), Oracle Corporation (U.S.), IBM Corporation (U.S.), C3.ai, Inc. (U.S.), SAP SE (Germany), Samsung SDS CO., Ltd. (South Korea), Coupa Software Inc. (U.S.), Micron Technology, Inc. (U.S.), Advanced Micro Devices, Inc. (U.S.), General Electric Company (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 2023-2030?
- What are the major drivers, restraints, and opportunities in the AI in supply chain market?
- Who are the major players, and what shares do they hold in the AI in supply chain market?
- How is the competitive landscape in the AI in supply chain market?
- What are the recent developments in the AI in supply chain market?
- What are the different strategies adopted by the major players in the 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, by Offering
- Hardware
- Processors
- Storage
- Networking
- Software
Services
- Deployment & Integration Services
- Connectivity Services
- Support & Maintenance Services
- Consulting Services
AI in Supply Chain Market, by Technology
- Machine Learning
- Natural Language Processing
- Computer Vision
- Robotic Process Automation
- Context-aware Computing
AI in Supply Chain Market, by Deployment Mode
- Cloud-based Deployments
- On-premise Deployments
AI in Supply Chain Market, by Application
- Demand Forecasting
- Real-time Supply Chain Visibility
- Supply Chain Planning
- Inventory Management
- Fleet Management
- Warehouse Management
- Other Applications
AI in Supply Chain Market, by End Use Industry
- Manufacturing
- Retail
- Food and Beverage
- Automotive
- Healthcare & Pharmaceuticals
- Medical Devices & Consumables
- Aerospace & Defense
- Building & Construction
- Other End Use Industries
AI in Supply Chain Market, 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 Middle East & Africa
Table of Contents
Companies Mentioned
- Intel Corporation (U.S.)
- Microsoft Corporation (U.S.)
- Amazon Web Services Inc. (U.S.)
- Google LLC (U.S.)
- NVIDIA Corporation (U.S.)
- Oracle Corporation (U.S.)
- IBM Corporation (U.S.)
- C3.ai Inc. (U.S.)
- SAP SE (Germany)
- Samsung SDS CO. Ltd. (South Korea)
- Coupa Software Inc. (U.S.)
- Micron Technology Inc. (U.S.)
- Advanced Micro Devices Inc. (U.S.)
- General Electric Company (U.S.)
- FedEx Corporation (U.S.)
- Deutsche Post DHL Group (Germany)
