Report Detail

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?
How fragmented is the AI in Supply Chain Management market?
Which are the key growth drivers in the AI in Supply Chain Management market?
Which are the top strategies undertaken by the AI in Supply Chain Management market players?
Which technological trends are likely to affect the AI in Supply Chain Management market?
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?
Which are the emerging companies in the AI in Supply Chain Management market?


Table of Contents

    1 Market Overview of AI in Supply Chain Management

    • 1.1 AI in Supply Chain Management Market Overview
      • 1.1.1 AI in Supply Chain Management Product Scope
      • 1.1.2 AI in Supply Chain Management Market Status and Outlook
    • 1.2 Global AI in Supply Chain Management Market Size Overview by Region 2017 VS 2021 VS 2028
    • 1.3 Global AI in Supply Chain Management Market Size by Region (2017-2028)
    • 1.4 Global AI in Supply Chain Management Historic Market Size by Region (2017-2022)
    • 1.5 Global AI in Supply Chain Management Market Size Forecast by Region (2023-2028)
    • 1.6 Key Regions, AI in Supply Chain Management Market Size (2017-2028)
      • 1.6.1 North America AI in Supply Chain Management Market Size (2017-2028)
      • 1.6.2 Europe AI in Supply Chain Management Market Size (2017-2028)
      • 1.6.3 Asia-Pacific AI in Supply Chain Management Market Size (2017-2028)
      • 1.6.4 Latin America AI in Supply Chain Management Market Size (2017-2028)
      • 1.6.5 Middle East & Africa AI in Supply Chain Management Market Size (2017-2028)

    2 AI in Supply Chain Management Market Overview by Type

    • 2.1 Global AI in Supply Chain Management Market Size by Type: 2017 VS 2021 VS 2028
    • 2.2 Global AI in Supply Chain Management Historic Market Size by Type (2017-2022)
    • 2.3 Global AI in Supply Chain Management Forecasted Market Size by Type (2023-2028)
    • 2.4 Hardware Devices
    • 2.5 Software

    3 AI in Supply Chain Management Market Overview by Application

    • 3.1 Global AI in Supply Chain Management Market Size by Application: 2017 VS 2021 VS 2028
    • 3.2 Global AI in Supply Chain Management Historic Market Size by Application (2017-2022)
    • 3.3 Global AI in Supply Chain Management Forecasted Market Size by Application (2023-2028)
    • 3.4 Routing And Delivery Logistics
    • 3.5 Warehouse Supply And Demand Management
    • 3.6 Transportation Vehicles Management
    • 3.7 Loading Management
    • 3.8 Accounting

    4 AI in Supply Chain Management Competition Analysis by Players

    • 4.1 Global AI in Supply Chain Management Market Size by Players (2017-2022)
    • 4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in AI in Supply Chain Management as of 2021)
    • 4.3 Date of Key Players Enter into AI in Supply Chain Management Market
    • 4.4 Global Top Players AI in Supply Chain Management Headquarters and Area Served
    • 4.5 Key Players AI in Supply Chain Management Product Solution and Service
    • 4.6 Competitive Status
      • 4.6.1 AI in Supply Chain Management Market Concentration Rate
      • 4.6.2 Mergers & Acquisitions, Expansion Plans

    5 Company (Top Players) Profiles and Key Data

    • 5.1 Nexocode
      • 5.1.1 Nexocode Profile
      • 5.1.2 Nexocode Main Business
      • 5.1.3 Nexocode AI in Supply Chain Management Products, Services and Solutions
      • 5.1.4 Nexocode AI in Supply Chain Management Revenue (US$ Million) & (2017-2022)
      • 5.1.5 Nexocode Recent Developments
    • 5.2 C3 AI
      • 5.2.1 C3 AI Profile
      • 5.2.2 C3 AI Main Business
      • 5.2.3 C3 AI AI in Supply Chain Management Products, Services and Solutions
      • 5.2.4 C3 AI AI in Supply Chain Management Revenue (US$ Million) & (2017-2022)
      • 5.2.5 C3 AI Recent Developments
    • 5.3 ORION
      • 5.3.1 ORION Profile
      • 5.3.2 ORION Main Business
      • 5.3.3 ORION AI in Supply Chain Management Products, Services and Solutions
      • 5.3.4 ORION AI in Supply Chain Management Revenue (US$ Million) & (2017-2022)
      • 5.3.5 Zebra Technologies Recent Developments
    • 5.4 Zebra Technologies
      • 5.4.1 Zebra Technologies Profile
      • 5.4.2 Zebra Technologies Main Business
      • 5.4.3 Zebra Technologies AI in Supply Chain Management Products, Services and Solutions
      • 5.4.4 Zebra Technologies AI in Supply Chain Management Revenue (US$ Million) & (2017-2022)
      • 5.4.5 Zebra Technologies Recent Developments
    • 5.5 Jaggaer
      • 5.5.1 Jaggaer Profile
      • 5.5.2 Jaggaer Main Business
      • 5.5.3 Jaggaer AI in Supply Chain Management Products, Services and Solutions
      • 5.5.4 Jaggaer AI in Supply Chain Management Revenue (US$ Million) & (2017-2022)
      • 5.5.5 Jaggaer Recent Developments
    • 5.6 Slimstock
      • 5.6.1 Slimstock Profile
      • 5.6.2 Slimstock Main Business
      • 5.6.3 Slimstock AI in Supply Chain Management Products, Services and Solutions
      • 5.6.4 Slimstock AI in Supply Chain Management Revenue (US$ Million) & (2017-2022)
      • 5.6.5 Slimstock Recent Developments
    • 5.7 MaxinAI
      • 5.7.1 MaxinAI Profile
      • 5.7.2 MaxinAI Main Business
      • 5.7.3 MaxinAI AI in Supply Chain Management Products, Services and Solutions
      • 5.7.4 MaxinAI AI in Supply Chain Management Revenue (US$ Million) & (2017-2022)
      • 5.7.5 MaxinAI Recent Developments
    • 5.8 Bridgei2i
      • 5.8.1 Bridgei2i Profile
      • 5.8.2 Bridgei2i Main Business
      • 5.8.3 Bridgei2i AI in Supply Chain Management Products, Services and Solutions
      • 5.8.4 Bridgei2i AI in Supply Chain Management Revenue (US$ Million) & (2017-2022)
      • 5.8.5 Bridgei2i Recent Developments
    • 5.9 Echo Global Logistics
      • 5.9.1 Echo Global Logistics Profile
      • 5.9.2 Echo Global Logistics Main Business
      • 5.9.3 Echo Global Logistics AI in Supply Chain Management Products, Services and Solutions
      • 5.9.4 Echo Global Logistics AI in Supply Chain Management Revenue (US$ Million) & (2017-2022)
      • 5.9.5 Echo Global Logistics Recent Developments
    • 5.10 HAVI
      • 5.10.1 HAVI Profile
      • 5.10.2 HAVI Main Business
      • 5.10.3 HAVI AI in Supply Chain Management Products, Services and Solutions
      • 5.10.4 HAVI AI in Supply Chain Management Revenue (US$ Million) & (2017-2022)
      • 5.10.5 HAVI Recent Developments
    • 5.11 TTEC
      • 5.11.1 TTEC Profile
      • 5.11.2 TTEC Main Business
      • 5.11.3 TTEC AI in Supply Chain Management Products, Services and Solutions
      • 5.11.4 TTEC AI in Supply Chain Management Revenue (US$ Million) & (2017-2022)
      • 5.11.5 TTEC Recent Developments
    • 5.12 Infor
      • 5.12.1 Infor Profile
      • 5.12.2 Infor Main Business
      • 5.12.3 Infor AI in Supply Chain Management Products, Services and Solutions
      • 5.12.4 Infor AI in Supply Chain Management Revenue (US$ Million) & (2017-2022)
      • 5.12.5 Infor Recent Developments
    • 5.13 Uptake
      • 5.13.1 Uptake Profile
      • 5.13.2 Uptake Main Business
      • 5.13.3 Uptake AI in Supply Chain Management Products, Services and Solutions
      • 5.13.4 Uptake AI in Supply Chain Management Revenue (US$ Million) & (2017-2022)
      • 5.13.5 Uptake Recent Developments
    • 5.14 JD Group
      • 5.14.1 JD Group Profile
      • 5.14.2 JD Group Main Business
      • 5.14.3 JD Group AI in Supply Chain Management Products, Services and Solutions
      • 5.14.4 JD Group AI in Supply Chain Management Revenue (US$ Million) & (2017-2022)
      • 5.14.5 JD Group Recent Developments

    6 North America

    • 6.1 North America AI in Supply Chain Management Market Size by Country (2017-2028)
    • 6.2 United States
    • 6.3 Canada

    7 Europe

    • 7.1 Europe AI in Supply Chain Management Market Size by Country (2017-2028)
    • 7.2 Germany
    • 7.3 France
    • 7.4 U.K.
    • 7.5 Italy
    • 7.6 Russia

    8 Asia-Pacific

    • 8.1 Asia-Pacific AI in Supply Chain Management Market Size by Region (2017-2028)
    • 8.2 China
    • 8.3 Japan
    • 8.4 South Korea
    • 8.5 India
    • 8.6 Australia
    • 8.7 China Taiwan
    • 8.8 Indonesia

    9 Latin America

    • 9.1 Latin America AI in Supply Chain Management Market Size by Country (2017-2028)
    • 9.2 Mexico
    • 9.3 Brazil
    • 9.4 Argentina

    10 Middle East & Africa

    • 10.1 Middle East & Africa AI in Supply Chain Management Market Size by Country (2017-2028)
    • 10.2 Turkey
    • 10.3 Saudi Arabia
    • 10.4 UAE

    11 AI in Supply Chain Management Market Dynamics

    • 11.1 AI in Supply Chain Management Industry Trends
    • 11.2 AI in Supply Chain Management Market Drivers
    • 11.3 AI in Supply Chain Management Market Challenges
    • 11.4 AI in Supply Chain Management Market Restraints

    12 Research Finding /Conclusion

      13 Methodology and Data Source

      • 13.1 Methodology/Research Approach
        • 13.1.1 Research Programs/Design
        • 13.1.2 Market Size Estimation
        • 13.1.3 Market Breakdown and Data Triangulation
      • 13.2 Data Source
        • 13.2.1 Secondary Sources
        • 13.2.2 Primary Sources
      • 13.3 Disclaimer

      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.

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