Market Executive Summary

The global market for AI in Supply Chain Management was estimated to be worth US$ million in 2024 and is forecast to a readjusted size of US$ million by 2031 with a CAGR of % during the forecast period 2025-2031.

AI in supply chain has virtually countless applications. Areas of impact within the supply chain and logistics realms include operational procurement using intelligent data and chatbots, supply chain planning to forecast demand and supply, warehouse management to optimize stock, quicker and more accurate shipping to reduce lead times and transportation expenses and optimal supplier selection through the use of real-time data.

As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.92%, including software, hardware and services.

This report aims to provide a comprehensive presentation of the global market for AI in Supply Chain Management, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of AI in Supply Chain Management by region & country, by Type, and by Application.

The AI in Supply Chain Management market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI in Supply Chain Management.

Global AI in Supply Chain Management Companies Covered

Nexocode, C3 AI, ORION, Zebra Technologies, Jaggaer, Slimstock, MaxinAI, Bridgei2i, Echo Global Logistics, HAVI, TTEC, Infor, Uptake, JD Group

Global AI in Supply Chain Management Market, by Region

North America (U.S., Canada, Mexico)

Europe (Germany, France, UK, Italy, etc.)

Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)

South America (Brazil, etc.)

Middle East and Africa (Turkey, GCC Countries, Africa, etc.)

Global AI in Supply Chain Management Market, Segment by Type

Hardware Devices

Software

Global AI in Supply Chain Management Market, Segment by Application

Routing And Delivery Logistics

Warehouse Supply And Demand Management

Transportation Vehicles Management

Loading Management

Accounting

Chapter Outline

Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 2: Detailed analysis of AI in Supply Chain Management company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.

Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 5: Revenue of AI in Supply Chain Management in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.

Chapter 6: Revenue of AI in Supply Chain Management in country level. It provides sigmate data by Type, and by Application for each country/region.

Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.

Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.

Chapter 9: Conclusion.