Summary:
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.
Market Insights
The research report studies the AI in Supply Chain Management market using different methodologies and analyzes to provide accurate and in-depth information about the market. For a clearer understanding, it is divided into several parts to cover different aspects of the market. Each area is then elaborated to help the reader comprehend the growth potential of each region and its contribution to the global market. The researchers have used primary and secondary methodologies to collate the information in the report. They have also used the same data to generate the current market scenario. This report is aimed at guiding people towards an apprehensive, better, and clearer knowledge of the market.
Due to the COVID-19 pandemic, the global AI in Supply Chain Management market size is estimated to be worth US$ million in 2021 and is forecast to a readjusted size of US$ million by 2028 with a CAGR of % during the forecast period 2022-2028.
The global main companies of AI in Supply Chain Management include Nexocode, C3 AI, ORION, Zebra Technologies, Jaggaer, Slimstock, MaxinAI, Bridgei2i and Echo Global Logistics, etc. In 2021, the global six largest players have a share approximately % in terms of revenue.
The North America AI in Supply Chain Management market is estimated at US$ million in 2021, while China is forecast to reach US$ million by 2028. The proportion of the China is % in 2021 and it is predicted that the share will reach % in 2028, trailing a CAGR of % through the analysis period 2022-2028. As for the Europe AI in Supply Chain Management landscape, Germany is projected to reach US$ million by 2028. and in Asia, the notable markets are Japan and South Korea, CAGR is % and % respectively for the next 6-year period.
Hardware Devices accounting for % of the AI in Supply Chain Management global market in 2021, is projected to value US$ million by 2028, growing at a revised % CAGR from 2022 to 2028. While Routing And Delivery Logistics segment is altered to an % CAGR throughout this forecast period and will hold a share about % in 2028.
Segment Scope
An intensive study of key type and application segments has been done in this segmentation section. The authors of the report have provided reliable figures including revenue forecast data by type and application for the period 2017-2028. They have also studied how the segments are gaining or losing growth in various geographies and their respective countries. Thanks to this study, readers can thoroughly grasp the growth pattern and potential of different segments.
Segment by Type
Hardware Devices
Software
Segment by Application
Routing And Delivery Logistics
Warehouse Supply And Demand Management
Transportation Vehicles Management
Loading Management
Accounting
Regional Scope
This segment of the report offers a thorough regional study of the global AI in Supply Chain Management market. Drivers and restraints for each region are broadly examined in the report. Readers will get familiar with the driving forces and challenges that are specific to the regions. The specialists have identified growth opportunities in key geographical regions and their respective countries to aid players to reinforce their presence. All the regions and their countries in the report are assessed based on the growth rate and revenue according to the consumption for the period 2017-2028. This geographical analysis will help readers to gain in-depth knowledge of the regional growth. The key geographical regions surveyed in this research report involve North America, Europe, Asia Pacific, Central and South America, and Middle East and Africa. The report has specifically covered major countries including United States, Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, India, Australia, China Taiwan, Indonesia, Thailand, Malaysia, Mexico, Brazil, Turkey, Saudi Arabia, UAE, etc.
Key Players
This section has provided an exhaustive analysis of the strategies that the companies are focusing on to stay ahead of other players. The strategies mainly involve research and development, new product developments, and mergers and acquisitions. The researchers have also provided revenue shares of the key companies, company overview, and the latest company developments so as to help players to sustain the cutthroat competition. In this section, the report offers global revenue data of manufacturers for the period 2017-2022. Following is the list of key manufacturers observed in this research study:
Nexocode
C3 AI
ORION
Zebra Technologies
Jaggaer
Slimstock
MaxinAI
Bridgei2i
Echo Global Logistics
HAVI
TTEC
Infor
Uptake
JD Group
Frequently Asked Questions
Which application segment captured the leading share in the AI in Supply Chain Management market?
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What is the expected AI in Supply Chain Management market size by 2028?
Which companies are dominating the AI in Supply Chain Management market?
Which region is projected to witness the fastest growth in the future?
What factors are restraining the AI in Supply Chain Management market growth?
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Summary:
Get latest Market Research Reports on AI in Supply Chain Management. Industry analysis & Market Report on AI in Supply Chain Management is a syndicated market report, published as Global AI in Supply Chain Management Market Report, History and Forecast 2017-2028, Breakdown Data by Companies, Key Regions, Types and Application. It is complete Research Study and Industry Analysis of AI in Supply Chain Management market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.