Industry: Service & Software
Published Date: 2026-07-24
Pages: 158 Pages
Report ld: 6980633
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Supply Chain AI Agent Market Size(US$)

CAGR 2026-2032
63.0%
Market Size,2032
USD 53,509
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global Supply Chain AI Agent market size was US$ 1585 million in 2025 and is forecast to reach a readjusted size of US$ 53509 million by 2032 with a CAGR of 63.0% during the forecast period 2026-2032.
A Supply Chain AI Agent is a software entity built upon technologies such as artificial intelligence (AI), large language models (LLMs), reinforcement learning, multi-agent systems (MAS), and autonomous decision-making algorithms. Endowed with capabilities for perception, reasoning, planning, execution, and collaboration, it can represent various roles—such as enterprises, suppliers, logistics providers, or regulators—to autonomously or semi-autonomously perform specific tasks within complex, dynamic, and uncertain supply chain environments. These tasks include demand forecasting, inventory optimization, procurement negotiation, risk alerting, transportation scheduling, and carbon emission accounting.
The growth of the supply chain AI agent market is primarily driven by the need for enterprises to accelerate supply chain responsiveness, reduce operational costs, and enhance risk resilience. As data volumes across procurement, demand forecasting, inventory management, production, warehousing, transportation, and order fulfillment continue to surge, traditional software—reliant on manual analysis and rule-based logic—struggles to address complex anomalies in a timely manner. This has prompted enterprises to accelerate the deployment of AI agents capable of autonomously sensing business changes, analyzing root causes, generating decisions, and executing tasks by interfacing with ERP, SCM, WMS, and TMS systems. At the same time, geopolitical conflicts, raw material price fluctuations, transportation delays, and frequent supplier risks have increased companies' demand for real-time monitoring, scenario simulation, and automated response capabilities. Furthermore, the increasing maturity of technologies such as generative AI, large language models, knowledge graphs, process mining, and agent orchestration enables supply chain AI agents to manage cross-system, cross-departmental, and multi-step business processes. These agents are evolving from providing analytical support toward human-machine collaboration and limited autonomous execution, thereby fueling the rapid expansion of the global market.
MARKET SEGMENTATION
REPORT SCOPE
The global Supply Chain AI Agent market is strategically segmented by company, region (country), by Type, and by Application. This report empowers stakeholders to capitalize on emerging opportunities, optimize product strategies, and outperform competitors through data-driven insights on revenue and forecasts across regions, by Type, and by Application for 2021-2032.
CHAPTER OUTLINE
Chapter 1: Report scope, executive summary, and market evolution scenarios (short/mid/long term)
Chapter 2: Quantitative analysis of Supply Chain AI Agent market size and growth potential at global, regional, and country levels
Chapter 3: Competitive benchmarking of manufacturers (revenue, market share, M&A, R&D focus)
Chapter 4: Type-based segmentation analysis – Uncovering blue ocean markets
Chapter 5: Application-based segmentation analysis – High-growth downstream opportunities
Chapter 6: Regional revenue breakdown by company, type, application and customer
Chapter 7: Key manufacturer profiles – Financials, product portfolios, and strategic developments
Chapter 8: Market dynamics – Drivers, restraints, regulatory impacts, and risk mitigation strategies
Chapter 9: Actionable conclusions and strategic recommendations.
WHY THIS REPORT
Beyond standard market data, this analysis provides a clear profitability roadmap, empowering you to:
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Supply Chain AI Agent value chain, addressing:
- Market entry risks/opportunities by region
- Product mix optimization based on local practices
- Competitor tactics in fragmented vs. consolidated markets
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market by Type
1.2.1 Global Market Size and Growth by Type: 2021 vs 2025 vs 2032
1.2.2 Cloud-based
1.2.3 On-premises
1.3 Market by Application
1.3.1 Global Market Share by Application: 2021 vs 2025 vs 2032
1.3.2 Large Enterprises
1.3.3 Small and Medium-sized Enterprises
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Supply Chain AI Agent Market Perspective (2021-2032)
2.2 Global Market Size by Region: 2021 vs 2025 vs 2032
2.3 Global Supply Chain AI Agent Market Share by Revenue, by Region (2021-2026)
2.4 Global Supply Chain AI Agent Revenue Forecast by Region (2027-2032)
2.5 Major Regions and Emerging Markets Analysis
2.5.1 North America Supply Chain AI Agent Market Size and Prospective (2021-2032)
2.5.2 Europe Supply Chain AI Agent Market Size and Prospective (2021-2032)
2.5.3 China Supply Chain AI Agent Market Size and Prospective (2021-2032)
2.5.4 Japan Supply Chain AI Agent Market Size and Prospective (2021-2032)
2.5.5 Southeast Asia Supply Chain AI Agent Market Size and Prospective (2021-2032)
2.5.6 India Supply Chain AI Agent Market Size and Prospective (2021-2032)
2.5.7 South America Supply Chain AI Agent Market Size and Prospective (2021-2032)
2.5.8 Middle East Supply Chain AI Agent Market Size and Prospective (2021-2032)
3 Breakdown Data by Type
3.1 Global Supply Chain AI Agent Historical Market Size by Type (2021-2026)
3.2 Global Supply Chain AI Agent Forecasted Market Size by Type (2027-2032)
3.3 Representative Players for Different Types of Supply Chain AI Agent
4 Breakdown Data by Application
4.1 Global Supply Chain AI Agent Historical Market Size by Application (2021-2026)
4.2 Global Supply Chain AI Agent Forecasted Market Size by Application (2027-2032)
4.3 New Sources of Growth in Supply Chain AI Agent Applications
5 Competitive Landscape by Players
5.1 Global Top Players by Revenue
5.1.1 Global Top Supply Chain AI Agent Players by Revenue (2021-2026)
5.1.2 Global Supply Chain AI Agent Market Share by Revenue, by Players (2021-2026)
5.2 Global Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
5.3 Players Covered: Ranking by Supply Chain AI Agent Revenue
5.4 Global Supply Chain AI Agent Market Concentration Analysis
5.4.1 Global Supply Chain AI Agent Market Concentration Ratio (CR5 and HHI)
5.4.2 Global Top 10 and Top 5 Companies by Supply Chain AI Agent Revenue in 2025
5.5 Global Key Players of Supply Chain AI Agent Head Offices and Areas Served
5.6 Global Key Players of Supply Chain AI Agent, Product and Application
5.7 Global Key Players of Supply Chain AI Agent, Date of Entry into This Industry
5.8 Mergers & Acquisitions, Expansion Plans
6 Region Analysis
6.1 North America Market: Players, Segments, Downstream and Major Customers
6.1.1 North America Supply Chain AI Agent Revenue by Company (2021-2026)
6.1.2 North America Market Size by Type
6.1.2.1 North America Supply Chain AI Agent Market Size by Type (2021-2026)
6.1.2.2 North America Supply Chain AI Agent Market Share by Type (2021-2026)
6.1.3 North America Market Size by Application
6.1.3.1 North America Supply Chain AI Agent Market Size by Application (2021-2026)
6.1.3.2 North America Supply Chain AI Agent Market Share by Application (2021-2026)
6.1.4 North America Supply Chain AI Agent Major Customers
6.1.5 North America Market Trends and Opportunities
6.2 Europe Market: Players, Segments, Downstream and Major Customers
6.2.1 Europe Supply Chain AI Agent Revenue by Company (2021-2026)
6.2.2 Europe Market Size by Type
6.2.2.1 Europe Supply Chain AI Agent Market Size by Type (2021-2026)
6.2.2.2 Europe Supply Chain AI Agent Market Share by Type (2021-2026)
6.2.3 Europe Market Size by Application
6.2.3.1 Europe Supply Chain AI Agent Market Size by Application (2021-2026)
6.2.3.2 Europe Supply Chain AI Agent Market Share by Application (2021-2026)
6.2.4 Europe Supply Chain AI Agent Major Customers
6.2.5 Europe Market Trends and Opportunities
6.3 China Market: Players, Segments, Downstream and Major Customers
6.3.1 China Supply Chain AI Agent Revenue by Company (2021-2026)
6.3.2 China Market Size by Type
6.3.2.1 China Supply Chain AI Agent Market Size by Type (2021-2026)
6.3.2.2 China Supply Chain AI Agent Market Share by Type (2021-2026)
6.3.3 China Market Size by Application
6.3.3.1 China Supply Chain AI Agent Market Size by Application (2021-2026)
6.3.3.2 China Supply Chain AI Agent Market Share by Application (2021-2026)
6.3.4 China Supply Chain AI Agent Major Customers
6.3.5 China Market Trends and Opportunities
6.4 Japan Market: Players, Segments, Downstream and Major Customers
6.4.1 Japan Supply Chain AI Agent Revenue by Company (2021-2026)
6.4.2 Japan Market Size by Type
6.4.2.1 Japan Supply Chain AI Agent Market Size by Type (2021-2026)
6.4.2.2 Japan Supply Chain AI Agent Market Share by Type (2021-2026)
6.4.3 Japan Market Size by Application
6.4.3.1 Japan Supply Chain AI Agent Market Size by Application (2021-2026)
6.4.3.2 Japan Supply Chain AI Agent Market Share by Application (2021-2026)
6.4.4 Japan Supply Chain AI Agent Major Customers
6.4.5 Japan Market Trends and Opportunities
6.5 Southeast Asia Market: Players, Segments, Downstream and Major Customers
6.5.1 Southeast Asia Supply Chain AI Agent Revenue by Company (2021-2026)
6.5.2 Southeast Asia Market Size by Type
6.5.2.1 Southeast Asia Supply Chain AI Agent Market Size by Type (2021-2026)
6.5.2.2 Southeast Asia Supply Chain AI Agent Market Share by Type (2021-2026)
6.5.3 Southeast Asia Market Size by Application
6.5.3.1 Southeast Asia Supply Chain AI Agent Market Size by Application (2021-2026)
6.5.3.2 Southeast Asia Supply Chain AI Agent Market Share by Application (2021-2026)
6.5.4 Southeast Asia Supply Chain AI Agent Major Customers
6.5.5 Southeast Asia Market Trends and Opportunities
6.6 India Market: Players, Segments, Downstream and Major Customers
6.6.1 India Supply Chain AI Agent Revenue by Company (2021-2026)
6.6.2 India Market Size by Type
6.6.2.1 India Supply Chain AI Agent Market Size by Type (2021-2026)
6.6.2.2 India Supply Chain AI Agent Market Share by Type (2021-2026)
6.6.3 India Market Size by Application
6.6.3.1 India Supply Chain AI Agent Market Size by Application (2021-2026)
6.6.3.2 India Supply Chain AI Agent Market Share by Application (2021-2026)
6.6.4 India Supply Chain AI Agent Major Customers
6.6.5 India Market Trends and Opportunities
7 Key Player Profiles
7.1 SAP
7.1.1 SAP Company Details
7.1.2 SAP Business Overview
7.1.3 SAP Supply Chain AI Agent Introduction
7.1.4 SAP Revenue in Supply Chain AI Agent Business (2021-2026)
7.1.5 SAP Recent Development
7.2 Oracle
7.2.1 Oracle Company Details
7.2.2 Oracle Business Overview
7.2.3 Oracle Supply Chain AI Agent Introduction
7.2.4 Oracle Revenue in Supply Chain AI Agent Business (2021-2026)
7.2.5 Oracle Recent Development
7.3 Microsoft
7.3.1 Microsoft Company Details
7.3.2 Microsoft Business Overview
7.3.3 Microsoft Supply Chain AI Agent Introduction
7.3.4 Microsoft Revenue in Supply Chain AI Agent Business (2021-2026)
7.3.5 Microsoft Recent Development
7.4 Blue Yonder
7.4.1 Blue Yonder Company Details
7.4.2 Blue Yonder Business Overview
7.4.3 Blue Yonder Supply Chain AI Agent Introduction
7.4.4 Blue Yonder Revenue in Supply Chain AI Agent Business (2021-2026)
7.4.5 Blue Yonder Recent Development
7.5 Palantir
7.5.1 Palantir Company Details
7.5.2 Palantir Business Overview
7.5.3 Palantir Supply Chain AI Agent Introduction
7.5.4 Palantir Revenue in Supply Chain AI Agent Business (2021-2026)
7.5.5 Palantir Recent Development
7.6 Manhattan Associates
7.6.1 Manhattan Associates Company Details
7.6.2 Manhattan Associates Business Overview
7.6.3 Manhattan Associates Supply Chain AI Agent Introduction
7.6.4 Manhattan Associates Revenue in Supply Chain AI Agent Business (2021-2026)
7.6.5 Manhattan Associates Recent Development
7.7 Kinaxis
7.7.1 Kinaxis Company Details
7.7.2 Kinaxis Business Overview
7.7.3 Kinaxis Supply Chain AI Agent Introduction
7.7.4 Kinaxis Revenue in Supply Chain AI Agent Business (2021-2026)
7.7.5 Kinaxis Recent Development
7.8 Infor
7.8.1 Infor Company Details
7.8.2 Infor Business Overview
7.8.3 Infor Supply Chain AI Agent Introduction
7.8.4 Infor Revenue in Supply Chain AI Agent Business (2021-2026)
7.8.5 Infor Recent Development
7.9 Coupa
7.9.1 Coupa Company Details
7.9.2 Coupa Business Overview
7.9.3 Coupa Supply Chain AI Agent Introduction
7.9.4 Coupa Revenue in Supply Chain AI Agent Business (2021-2026)
7.9.5 Coupa Recent Development
7.10 o9 Solutions
7.10.1 o9 Solutions Company Details
7.10.2 o9 Solutions Business Overview
7.10.3 o9 Solutions Supply Chain AI Agent Introduction
7.10.4 o9 Solutions Revenue in Supply Chain AI Agent Business (2021-2026)
7.10.5 o9 Solutions Recent Development
7.11 ServiceNow
7.11.1 ServiceNow Company Details
7.11.2 ServiceNow Business Overview
7.11.3 ServiceNow Supply Chain AI Agent Introduction
7.11.4 ServiceNow Revenue in Supply Chain AI Agent Business (2021-2026)
7.11.5 ServiceNow Recent Development
7.12 IBM
7.12.1 IBM Company Details
7.12.2 IBM Business Overview
7.12.3 IBM Supply Chain AI Agent Introduction
7.12.4 IBM Revenue in Supply Chain AI Agent Business (2021-2026)
7.12.5 IBM Recent Development
7.13 Celonis
7.13.1 Celonis Company Details
7.13.2 Celonis Business Overview
7.13.3 Celonis Supply Chain AI Agent Introduction
7.13.4 Celonis Revenue in Supply Chain AI Agent Business (2021-2026)
7.13.5 Celonis Recent Development
7.14 UiPath
7.14.1 UiPath Company Details
7.14.2 UiPath Business Overview
7.14.3 UiPath Supply Chain AI Agent Introduction
7.14.4 UiPath Revenue in Supply Chain AI Agent Business (2021-2026)
7.14.5 UiPath Recent Development
7.15 C3 AI
7.15.1 C3 AI Company Details
7.15.2 C3 AI Business Overview
7.15.3 C3 AI Supply Chain AI Agent Introduction
7.15.4 C3 AI Revenue in Supply Chain AI Agent Business (2021-2026)
7.15.5 C3 AI Recent Development
7.16 GEP
7.16.1 GEP Company Details
7.16.2 GEP Business Overview
7.16.3 GEP Supply Chain AI Agent Introduction
7.16.4 GEP Revenue in Supply Chain AI Agent Business (2021-2026)
7.16.5 GEP Recent Development
7.17 project44
7.17.1 project44 Company Details
7.17.2 project44 Business Overview
7.17.3 project44 Supply Chain AI Agent Introduction
7.17.4 project44 Revenue in Supply Chain AI Agent Business (2021-2026)
7.17.5 project44 Recent Development
7.18 FourKites
7.18.1 FourKites Company Details
7.18.2 FourKites Business Overview
7.18.3 FourKites Supply Chain AI Agent Introduction
7.18.4 FourKites Revenue in Supply Chain AI Agent Business (2021-2026)
7.18.5 FourKites Recent Development
7.19 Ivalua
7.19.1 Ivalua Company Details
7.19.2 Ivalua Business Overview
7.19.3 Ivalua Supply Chain AI Agent Introduction
7.19.4 Ivalua Revenue in Supply Chain AI Agent Business (2021-2026)
7.19.5 Ivalua Recent Development
7.20 JAGGAER
7.20.1 JAGGAER Company Details
7.20.2 JAGGAER Business Overview
7.20.3 JAGGAER Supply Chain AI Agent Introduction
7.20.4 JAGGAER Revenue in Supply Chain AI Agent Business (2021-2026)
7.20.5 JAGGAER Recent Development
7.21 Authine
7.21.1 Authine Company Details
7.21.2 Authine Business Overview
7.21.3 Authine Supply Chain AI Agent Introduction
7.21.4 Authine Revenue in Supply Chain AI Agent Business (2021-2026)
7.21.5 Authine Recent Development
7.22 Kingdee
7.22.1 Kingdee Company Details
7.22.2 Kingdee Business Overview
7.22.3 Kingdee Supply Chain AI Agent Introduction
7.22.4 Kingdee Revenue in Supply Chain AI Agent Business (2021-2026)
7.22.5 Kingdee Recent Development
8 Supply Chain AI Agent Market Dynamics
8.1 Supply Chain AI Agent Industry Trends
8.2 Supply Chain AI Agent Market Drivers
8.3 Supply Chain AI Agent Market Challenges
8.4 Supply Chain AI Agent Market Restraints
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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The global market for Supply Chain AI Agent was estimated to be worth US$ 1585 million in 2025 and is projected to reach US$ 53509 million, growing at a CAGR of 63.0% from 2026 to 2032.
Published: 2026-07-24
Pages: 143
The global Supply Chain AI Agent market is projected to grow from US$ 1585 million in 2025 to US$ 53509 million by 2032, at a CAGR of 63.0% (2026-2032), driven by critical product segments and diverse end‑use applications.
Published: 2026-07-24
Pages: 166
The global Supply Chain AI Agent market was valued at US$ 1585 million in 2025 and is anticipated to reach US$ 53509 million by 2032, at a CAGR of 63.0% from 2026 to 2032.
Published: 2026-07-24
Pages: 146
REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
REPORT SCOPE
CHAPTER OUTLINE
WHY THIS REPORT
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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