Global Artificial Intelligence in Supply Chain Market | Trends, Growth, and Forecast 2024

Global Artificial Intelligence in Supply Chain market size was USD 5.06 billion in 2023 and the market is projected to touch USD 64.28 billion by 2032, at a CAGR of 38.9 % during the forecast period. The demand for efficient and well-organized supply chains has increased due to the growth of e-commerce. Customers demand prompt and dependable delivery, thus inventory control, demand forecasting, and streamlined logistics all require AI-powered solutions. Supply chains can also be disrupted by a number of different things. AI analyzes real-time data and recommends proactive actions to help organizations predict and minimize these disruptions.

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The advances in technology additionally help end-user enterprises in expanding their markets. Strong analytic tools are required since supply chains are producing a growing amount of data. AI is incredibly good at processing large amounts of data, gleaning insightful information, and turning it into workable plans. Furthermore, real-time data processing, analysis, and gathering are made possible by the integration of AI with cloud computing platforms and Internet of Things (IoT) sensors. As a result, AI is able to make better decisions and increase supply chain agility. therefore, promoting market expansion. The supply chain AI improves store-level assortments, automates order settlement, and plans and executes transportation. Because of this, businesses are creating innovative solutions to support customers in a variety of sectors, including retail & consumer packaged goods (CPG). To develop new AI solutions for the retail and consumer goods industry, International Business Machines Corporation, a developer of AI solutions for supply chains, partnered with SAP SE in January 2024. International Business Machines Corporation incorporated its AI and data platform-ready for enterprise use as well as AI assistants into SAP solutions by utilizing their combined technological capabilities.

The development of generative and classical AI solutions is being facilitated by this partnership among International Business Machines Corporation & SAP SE. These solutions are intended to reduce the complexity involved in product portfolio management and the business process of direct store delivery. Currently, IBM Consulting and SAP SE are working with CPG clients all over the world to pinpoint the precise specifications needed to develop scalable and safe AI solutions. The SAP Direct Distribution solution would easily integrate with these solutions. In order to help CPG businesses, wholesale distributors, and retailers optimize store-level assortments, improve product distribution, and generate more income, these new solutions are being developed.
Global Artificial Intelligence in Supply Chain dynamics

The increasing being available of integrated monitoring technology, such as smartphones and linked networks, is a key factor supporting growth. Growing economic digitalization, particularly in emerging markets, will become the main driver of market expansion. Further aggravating the market's growth will be the growing demand for increased visibility and transparency in supply chain and logistics data, the increasing generation of large amounts of data and information, the growing adoption by small and medium-sized businesses, and the strengthening of the IT sector in developing nations like China and India. Additional factors supporting the market's growth include the expanding body of favorable government laws and the growing prevalence of cloud-based services.

Global Artificial Intelligence in Supply Chain drivers

Growing Demand for Supply Chain Optimization and Efficiency

The companies are using AI to streamline operations as global supply networks grow more complex. Artificial intelligence (AI) tools that analyze large volumes of data to forecast demand, optimize inventory, and enhance decision-making in real-time include machine learning, predictive analytics, & robotic process automation (RPA). Increased accuracy, cost savings, and efficiency in supply chain operations result from this, which propels the adoption of AI across industries.

Rising Adoption of AI-Powered Automation in Logistics and Warehousin

AI-driven automation solutions are revolutionizing warehousing and logistics by decreasing human error and increasing operating speed. Autonomous vehicles, drones, and robots with AI capabilities can carry out operations like picking, packing, sorting, and delivering goods more quickly and effectively than people can. This increases the demand for AI solutions in the supply chain industry by assisting businesses in lowering operating costs, enhancing safety, and improving customer happiness.

Restraints:

High Implementation Costs and Complex Integration

The integration of artificial intelligence (AI) into supply chain management necessitates a substantial initial outlay of funds, which includes the price of purchasing cutting-edge equipment, hiring staff, and keeping AI systems. Additionally, especially for companies that still rely on antiquated systems, integrating AI technologies with the present supply chain architecture can be challenging and time-consuming. Widespread adoption is hindered by the entrance obstacles that these high costs and integration difficulties create for small and medium-sized businesses (SMEs).

Data Privacy and Security Concerns

The data security and privacy are issues since AI mostly relies on data collecting and processing. The handling of private data, including company secrets, financial information, and customer details, by supply chains exposes businesses to hacking and security lapses. The adoption of AI technology in the supply chain may be slowed down by possible misuse or unauthorized access, which might make legal and regulatory compliance more difficult. Businesses must invest heavily in cybersecurity measures to safeguard data.

Opportunities:
AI-Driven Predictive Analytics for Demand Forecasting

Increasing demand forecasting is possible with the help of AI technology, particularly machine learning and predictive analytics. AI can make more precise forecasts of future demand by examining past data, industry trends, and customer behavior patterns. Businesses can increase overall supply chain efficiency, minimize overstock or stockouts, and optimize inventory management as a result. Utilizing these predictive capabilities might give businesses a competitive edge by better matching production and delivery to market demands.

Segment Overview
By Offering, The Artificial Intelligence in Supply Chain market is segmented into Hardware, Software, Services. In 2023, the software segment held the highest revenue share of 41.8%, leading the market in terms of offerings. Within the supply chain, artificial intelligence (AI) software provides a multitude of functionalities, ranging from automated decision-making and predictive maintenance to demand forecasting and inventory optimization. This adaptability enables companies to handle a range of issues and tailor solutions to meet their unique requirements. Furthermore, AI software is easily scaleable up or down based on the complexity and size of the supply chain.

The services section is anticipated to grow at a significant rate throughout the course of the projected period. For AI supply chain systems to function as effectively as possible, ongoing maintenance and updates are required. To ensure that AI systems are running well, service providers offer support packages that handle any possible technical issues. End users are becoming more and more interested in measurable returns on their AI investments. Service providers may help businesses define key performance indicators (KPIs) and track the return on investment of their AI deployments to demonstrate the value of AI for supply chain management.

By Application, The Artificial Intelligence in Supply Chain market is segmented into Supply Chain Planning, Warehouse Management, Fleet Management, Virtual Assistant, Risk Management, Inventory Management, Others. In 2023, the supply chain planning category commanded the highest revenue share of 32.5%, leading the market in terms of application. To effectively estimate demand, AI systems examine sales trends, historical data, and outside variables. This enables companies to keep their inventory levels at ideal levels, preventing expensive and ineffective stockouts and overstocking. Additionally, AI optimizes transportation routes to save expenses and improve delivery times by taking into account variables like traffic patterns, fuel prices, and delivery dates.

The warehouse management category is expected to grow at a significant compound annual growth rate (CAGR) over the course of the projection period. Among the repetitious tasks that AI systems can automate are order selection, packing, and sorting. This reduces the potential for errors associated with manual tasks and does away with the requirement for human labor in more complex occupations. Furthermore, AI algorithms may optimize pickup routes and packing configurations based on parameters like item size, weight, and destination. These speeds up order fulfillment by ensuring efficient packaging and reducing transit time inside the warehouse.

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Global Artificial Intelligence in Supply Chain Overview by Region

North America accounted for 38.4% of revenue in the artificial intelligence supply chain market in 2023. To withstand the intense competition, North American enterprises must reduce costs without compromising the quality of their offerings. AI supply chain solutions that, through process automation, massive data analysis, and insightful production, improve the efficiency, transparency, and agility of the supply chain. The United States supply chain artificial intelligence industry is expected to expand at the strongest compound annual growth rate (CAGR) between 2024 and 2030. The logistics and industrial sectors in the US are experiencing a labor shortage. AI can solve this by lowering the demand for human labor, freeing up time for concentration on higher-value jobs requiring knowledge and experience. Furthermore, the United States leads the world in AI research and development. Additionally, it promotes the creation of state-of-the-art AI products specifically for supply chain applications.

The European artificial intelligence in supply chain market is expected to expand at a significant compound yearly growth rate during the projected period. Supply networks in Europe are often complicated, including multiple countries with disparate legal systems. AI offers solutions for visibility and traceability. Furthermore, Europe is facing a shortage of labor in the manufacturing and logistics sectors due to an aging labor force. AI can assist with this through workforce augmentation and upskilling and reskilling initiatives.

Global Artificial Intelligence in Supply Chain market competitive landscape

Leading companies such as Advanced Micro Devices, Inc., Alibaba.com, Amazon.com, Inc., Deutsche Post DHL Group, FedEx, International Business Machines Corporation, Intel Corporation, Microsoft Corporation, NVIDIA Corporation, Samsung, Oracle Corporation, and SAP SE. The companies who are actively participating in the worldwide market are concentrating their efforts on growing their clientele and out-competing their competitors. As a result, they work on a number of strategic projects, such as joint ventures, mergers and acquisitions, partnerships, and the creation of new products and technologies. For example, the supply chain platform provider Blue Yonder Group, Inc. unveiled Blue Yonder Orchestrator, a new generative AI tool, as part of its Luminate Cognitive Platform in December 2023. The most recent addition combines cloud data, large language models (LLMs), and asks engineering to recommend supply chain management decisions. Companies can use Blue Yonder Orchestrator as a dependable supply chain assistant, combining data value with intuition to make wiser decisions more quickly.

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