Name: Global AI in Supply Chain Management Market Research Report 2026-2035
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Global AI in Supply Chain Management Market

Market Size in USD Billion

CAGR : 17.60%

USD 1.14

2025

USD 4.17

2033

Forecast Period	2025 - 2033
Market Size (Base Year)	USD 1.14 Billion
Market Size (Forecast)	USD 4.17 Billion
CAGR	17.60%
Major Market Players	Data provided in full report

Extent Research has published the new report on the Global AI in Supply Chain Management Market, which includes all the important aspects that have changed owing to COVID-19. The important parameters that are covered in the report include the market status and position on the global platform, regional analysis, market segmentation, and the key players that are functioning in this industry. The AI in Supply Chain Management market analysis is done on the basis of its segmentation by Application Routing And Delivery Logistics, Warehouse Supply And Demand Management, Transportation Vehicles Management, Loading Management, Accounting, , by Product type Hardware Devices, Software, . The major product types and the applications or the end-users are all analyzed in-detail. The global AI in Supply Chain Management market research report includes all the historical details about the market along with an in-depth analysis about the current market scenario. Based on these analyses the market forecast has been precisely identified along with the anticipated growth rate for the forecast period 2026 to 2035. Other useful data that is included in the AI in Supply Chain Management market report includes the updated government policies, changed market environment, market trends, technological developments, upcoming advancements in the industry, and much more.

Data provided by Extent Research. Source: https://www.extentresearch.com/ai-in-supply-chain-management-market

The market dynamics that have been analyzed by the research analysts include drivers, restraints, opportunities, challenges, opportunities, competitive landscape among the industry players, etc. It is expected that in the projected horizon the AI in Supply Chain Management market will expect a rise.

Some of the major market players that are operating in the AI in Supply Chain Management market includes Nexocode, C3 AI, ORION, Zebra Technologies, Jaggaer, Slimstock, MaxinAI, Bridgei2i, Echo Global Logistics, HAVI, TTEC, Infor, Uptake, JD Group, . Every single vendor has been profiled in the report and includes information such as headquarter location, contact information, product portfolio, production, price and cost analysis, and the recent developments in the organization.

Key Solutions for the below Questions are answered in the AI in Supply Chain Management Market Report.

What will be the Global AI in Supply Chain Management Market forecast?
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Report Scope and Market Segmentation

ATTRIBUTES	Global AI in Supply Chain Management Market KEY MARKET INSIGHTS
Segments Covered	By Product Type: All Products Type Includes By Application: All Application Type Includes By End User: All End User Type Includes By Distribution Channel: All Distribution Channel Includes
Countries Covered	North America U.S., Canada, Mexico Europe Germany, United Kingdom, France, Italy, Spain, Nordic Countries, Benelux Union, Rest of Europe Asia-Pacific China, India, Japan, New Zealand, South Korea, Australia, Southeast Asia, Rest of Asia Pacific Latin America Brazil, Argentina, Rest of Latin America Middle East & Africa Saudi Arabia, UAE, Egypt, Kuwait, South Africa, Rest of Middle East & Africa
Key Market Players	Leading Tier 1 Corporations Prominent Regional Manufacturers Emerging Market Disruptors Technology Integrators & Suppliers *Complete vendor layout of 15+ major players provided in the final report.
Market Opportunities	Market Size and Growth: Quantifying the total addressable market (TAM) and projected growth rates to assess financial viability. Customer Segmentation: Identifying target audience behaviors, pain points, and specific unfulfilled demands. Competitive Landscape: Analyzing existing competitors' strengths, weaknesses, and market share to pinpoint gaps and opportunities. Industry Trends: Mapping technological, regulatory, and economic shifts that create favorable conditions for market entry. Risk Assessment: Evaluating barriers to entry and operational challenges alongside strategic roadmaps for mitigation.
Value Added Data Infosets	In addition to the insights on market scenarios such as market value, growth rate, segmentation, geographical coverage, and major players, the market reports curated by our expert team also include in-depth expert analysis, geographically represented company-wise production and capacity, network layouts of distributors and partners, detailed and updated price trend analysis and deficit analysis of supply chain and demand.

Meet the Team

Julie

Author

Julie Jayne is a distinguished multidisciplinary strategist and the Head of Research at Extent Research, where she leverages over a decade of comprehensive experience in the global market intelligence industry. Backed by a robust academic foundation that includes a B.Sc. and an MBA, she perfectly...

Priya M

Reviewed By

With over 14 years of dedicated professional expertise in business-to-business (B2B) intelligence, Priya M stands as a distinguished leader in corporate strategy, revenue growth, and advanced data analysis. Her dynamic career is defined by a relentless focus on mitigating business risks and empowering corporate executives...

Learn more about Priya M

BASIC ATTRIBUTES \| KEY MARKET INSIGHTS
Report Title	Global AI in Supply Chain Management Market
Base Year	2025
Forecast Period	2025 - 2033
Market Size (Base)	USD 1.14 Billion
Projected Size	USD 4.17 Billion
CAGR	17.60%

                            1 Report Overview
    1.1 Study Scope
    1.2 Market Analysis by Type
        1.2.1 Global AI in Supply Chain Management Market Size Growth Rate by Type: 2017 VS 2021 VS 2035
        1.2.2 Hardware Devices
        1.2.3 Software
    1.3 Market by Application
        1.3.1 Global AI in Supply Chain Management Market Share by Application: 2017 VS 2021 VS 2035
        1.3.2 Routing And Delivery Logistics
        1.3.3 Warehouse Supply And Demand Management
        1.3.4 Transportation Vehicles Management
        1.3.5 Loading Management
        1.3.6 Accounting
    1.4 Study Objectives
    1.5 Years Considered
2 Global Growth Trends
    2.1 Global AI in Supply Chain Management Market Perspective (2017-2035)
    2.2 AI in Supply Chain Management Growth Trends by Region
        2.2.1 AI in Supply Chain Management Market Size by Region: 2017 VS 2021 VS 2035
        2.2.2 AI in Supply Chain Management Historic Market Size by Region (2017-2022)
        2.2.3 AI in Supply Chain Management Forecasted Market Size by Region (2023-2035)
    2.3 AI in Supply Chain Management Market Dynamics
        2.3.1 AI in Supply Chain Management Industry Trends
        2.3.2 AI in Supply Chain Management Market Drivers
        2.3.3 AI in Supply Chain Management Market Challenges
        2.3.4 AI in Supply Chain Management Market Restraints
3 Competition Landscape by Key Players
    3.1 Global Top AI in Supply Chain Management Players by Revenue
        3.1.1 Global Top AI in Supply Chain Management Players by Revenue (2017-2022)
        3.1.2 Global AI in Supply Chain Management Revenue Market Share by Players (2017-2022)
    3.2 Global AI in Supply Chain Management Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
    3.3 Players Covered: Ranking by AI in Supply Chain Management Revenue
    3.4 Global AI in Supply Chain Management Market Concentration Ratio
        3.4.1 Global AI in Supply Chain Management Market Concentration Ratio (CR5 and HHI)
        3.4.2 Global Top 10 and Top 5 Companies by AI in Supply Chain Management Revenue in 2021
    3.5 AI in Supply Chain Management Key Players Head office and Area Served
    3.6 Key Players AI in Supply Chain Management Product Solution and Service
    3.7 Date of Enter into AI in Supply Chain Management Market
    3.8 Mergers & Acquisitions, Expansion Plans
4 AI in Supply Chain Management Breakdown Data by Type
    4.1 Global AI in Supply Chain Management Historic Market Size by Type (2017-2022)
    4.2 Global AI in Supply Chain Management Forecasted Market Size by Type (2023-2035)
5 AI in Supply Chain Management Breakdown Data by Application
    5.1 Global AI in Supply Chain Management Historic Market Size by Application (2017-2022)
    5.2 Global AI in Supply Chain Management Forecasted Market Size by Application (2023-2035)
6 North America
    6.1 North America AI in Supply Chain Management Market Size (2017-2035)
    6.2 North America AI in Supply Chain Management Market Size by Country (2017-2022)
    6.3 North America AI in Supply Chain Management Market Size by Country (2023-2035)
    6.4 United States
    6.5 Canada
7 Europe
    7.1 Europe AI in Supply Chain Management Market Size (2017-2035)
    7.2 Europe AI in Supply Chain Management Market Size by Country (2017-2022)
    7.3 Europe AI in Supply Chain Management Market Size by Country (2023-2035)
    7.4 Germany
    7.5 France
    7.6 U.K.
    7.7 Italy
    7.8 Russia
    7.9 Nordic Countries
8 Asia-Pacific
    8.1 Asia-Pacific AI in Supply Chain Management Market Size (2017-2035)
    8.2 Asia-Pacific AI in Supply Chain Management Market Size by Country (2017-2022)
    8.3 Asia-Pacific AI in Supply Chain Management Market Size by Country (2023-2035)
    8.4 China
    8.5 Japan
    8.6 South Korea
    8.7 Southeast Asia
    8.8 India
    8.9 Australia
9 Latin America
    9.1 Latin America AI in Supply Chain Management Market Size (2017-2035)
    9.2 Latin America AI in Supply Chain Management Market Size by Country (2017-2022)
    9.3 Latin America AI in Supply Chain Management Market Size by Country (2023-2035)
    9.4 Mexico
    9.5 Brazil
10 Middle East & Africa
    10.1 Middle East & Africa AI in Supply Chain Management Market Size (2017-2035)
    10.2 Middle East & Africa AI in Supply Chain Management Market Size by Country (2017-2022)
    10.3 Middle East & Africa AI in Supply Chain Management Market Size by Country (2023-2035)
    10.4 Turkey
    10.5 Saudi Arabia
    10.6 UAE
11 Key Players Profiles
    11.1 Nexocode
        11.1.1 Nexocode Company Detail
        11.1.2 Nexocode Business Overview
        11.1.3 Nexocode AI in Supply Chain Management Introduction
        11.1.4 Nexocode Revenue in AI in Supply Chain Management Business (2017-2022)
        11.1.5 Nexocode Recent Development
    11.2 C3 AI
        11.2.1 C3 AI Company Detail
        11.2.2 C3 AI Business Overview
        11.2.3 C3 AI AI in Supply Chain Management Introduction
        11.2.4 C3 AI Revenue in AI in Supply Chain Management Business (2017-2022)
        11.2.5 C3 AI Recent Development
    11.3 ORION
        11.3.1 ORION Company Detail
        11.3.2 ORION Business Overview
        11.3.3 ORION AI in Supply Chain Management Introduction
        11.3.4 ORION Revenue in AI in Supply Chain Management Business (2017-2022)
        11.3.5 ORION Recent Development
    11.4 Zebra Technologies
        11.4.1 Zebra Technologies Company Detail
        11.4.2 Zebra Technologies Business Overview
        11.4.3 Zebra Technologies AI in Supply Chain Management Introduction
        11.4.4 Zebra Technologies Revenue in AI in Supply Chain Management Business (2017-2022)
        11.4.5 Zebra Technologies Recent Development
    11.5 Jaggaer
        11.5.1 Jaggaer Company Detail
        11.5.2 Jaggaer Business Overview
        11.5.3 Jaggaer AI in Supply Chain Management Introduction
        11.5.4 Jaggaer Revenue in AI in Supply Chain Management Business (2017-2022)
        11.5.5 Jaggaer Recent Development
    11.6 Slimstock
        11.6.1 Slimstock Company Detail
        11.6.2 Slimstock Business Overview
        11.6.3 Slimstock AI in Supply Chain Management Introduction
        11.6.4 Slimstock Revenue in AI in Supply Chain Management Business (2017-2022)
        11.6.5 Slimstock Recent Development
    11.7 MaxinAI
        11.7.1 MaxinAI Company Detail
        11.7.2 MaxinAI Business Overview
        11.7.3 MaxinAI AI in Supply Chain Management Introduction
        11.7.4 MaxinAI Revenue in AI in Supply Chain Management Business (2017-2022)
        11.7.5 MaxinAI Recent Development
    11.8 Bridgei2i
        11.8.1 Bridgei2i Company Detail
        11.8.2 Bridgei2i Business Overview
        11.8.3 Bridgei2i AI in Supply Chain Management Introduction
        11.8.4 Bridgei2i Revenue in AI in Supply Chain Management Business (2017-2022)
        11.8.5 Bridgei2i Recent Development
    11.9 Echo Global Logistics
        11.9.1 Echo Global Logistics Company Detail
        11.9.2 Echo Global Logistics Business Overview
        11.9.3 Echo Global Logistics AI in Supply Chain Management Introduction
        11.9.4 Echo Global Logistics Revenue in AI in Supply Chain Management Business (2017-2022)
        11.9.5 Echo Global Logistics Recent Development
    11.10 HAVI
        11.10.1 HAVI Company Detail
        11.10.2 HAVI Business Overview
        11.10.3 HAVI AI in Supply Chain Management Introduction
        11.10.4 HAVI Revenue in AI in Supply Chain Management Business (2017-2022)
        11.10.5 HAVI Recent Development
    11.11 TTEC
        11.11.1 TTEC Company Detail
        11.11.2 TTEC Business Overview
        11.11.3 TTEC AI in Supply Chain Management Introduction
        11.11.4 TTEC Revenue in AI in Supply Chain Management Business (2017-2022)
        11.11.5 TTEC Recent Development
    11.12 Infor
        11.12.1 Infor Company Detail
        11.12.2 Infor Business Overview
        11.12.3 Infor AI in Supply Chain Management Introduction
        11.12.4 Infor Revenue in AI in Supply Chain Management Business (2017-2022)
        11.12.5 Infor Recent Development
    11.13 Uptake
        11.13.1 Uptake Company Detail
        11.13.2 Uptake Business Overview
        11.13.3 Uptake AI in Supply Chain Management Introduction
        11.13.4 Uptake Revenue in AI in Supply Chain Management Business (2017-2022)
        11.13.5 Uptake Recent Development
    11.14 JD Group
        11.14.1 JD Group Company Detail
        11.14.2 JD Group Business Overview
        11.14.3 JD Group AI in Supply Chain Management Introduction
        11.14.4 JD Group Revenue in AI in Supply Chain Management Business (2017-2022)
        11.14.5 JD Group Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
    13.1 Research Methodology
        13.1.1 Methodology/Research Approach
        13.1.2 Data Source
    13.2 Disclaimer
    13.3 Author Details                        

Research Methodology

Data collection and base year analysis are done using proprietary data collection modules with large sample sizes. The process includes obtaining market information through extensive secondary sources, paid databases, and verifying data via primary (industry expert) validation.

Our market models include Vendor Positioning Grids, Market Timeline Analysis, Company Market Share Analysis, and Top-Down/Bottom-Up forecasting models. To know more about the research methodology, drop an inquiry to speak to our industry experts.

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Global AI in Supply Chain Management Market