Industry: Service & Software
Published Date: 2026-07-24
Pages: 166 Pages
Report ld: 6980631
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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 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.
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
This definitive report equips business leaders, decision-makers, and stakeholders with a 360° view of the global Supply Chain AI Agent market across value chain. It analyzes historical revenue data (2021–2025) and delivers forecasts through 2032, illuminating demand trends and growth drivers.
By segmenting the market by Type and by Application, the study quantifies market size, growth rates, niche opportunities, and substitution risks, and analyzes downstream customer distribution pattern.
Granular regional insights cover five major markets (North America, Europe, APAC, South America, and MEA) with in‑depth analysis of 20+ countries, detailing dominant products, competitive landscape, and downstream demand trends.
Critical competitive intelligence profiles players (revenue, margins, pricing strategies, and major customers) and dissects the top-player positioning across product lines, applications, and regions to reveal strategic strengths.
A concise Industry‑chain overview maps upstream, middle stream, and downstream distribution dynamics to identify strategic gaps and unmet demand.
CHAPTER OUTLINE
Chapter 1: Defines the Supply Chain AI Agent study scope, segments the market by Type and by Application, etc, highlights segment size and growth potential
Chapter 2: Offers current market state, projects global revenue and sales to 2032, pinpointing high consumption regions and emerging market catalysts
Chapter 3: Dissects the player landscape: ranks by revenue and profitability, details Player performance by product type and evaluates concentration alongside M&A moves
Chapter 4: Unlocks high margin product segments: compares revenue, ASP, and technology differentiators, highlighting growth niches and substitution risks
Chapter 5: Targets downstream market opportunities: evaluates market size by Application, identifies emerging use cases, and profiles leading customers by region and by Application
Chapter 6: North America: breaks down market size by Application and country, profiles key players and assesses growth drivers and barriers
Chapter 7: Europe: analyses regional market by Application and players, flagging drivers and barriers
Chapter 8: Asia Pacific: quantifies market size by Application, and region/country, profiles top players, and uncovers high potential expansion areas
Chapter 9: Central & South America: measures market size by Application, and country, profiles top players, and identifies investment opportunities and challenges
Chapter 10: Middle East and Africa: evaluates market size by Application, and country, profiles key players, and outlines investment prospects and market hurdles
Chapter 11: Profiles players in depth: details product specs, revenue, margins; top-tier players 2025 sales breakdowns by product type, by Application, by region SWOT analysis, and recent strategic developments
Chapter 12: Value chain and ecosystem: analyses upstream, midstream, plus downstream channels
Chapter 13: Market dynamics: explores drivers, restraints, regulatory impacts, and risk mitigation strategies
Chapter 14: Actionable conclusions and strategic recommendations.
WHY THIS REPORT
Beyond standard market data, this analysis provides a clear profitability roadmap, empowering you to:
Beyond standard market data, this analysis provides a clear profitability roadmap, empowering you to:
Allocate capital strategically to high growth regions (Chapters 6-10) and margin rich segments (Chapter 5).
Negotiate from strength with suppliers (Chapter 12) and customers (Chapter 5) using cost and demand intelligence.
Outmaneuver competitors with granular insights into their operations, margins, and strategies (Chapters 3 and 11).
Capitalize on the projected billion‑dollar opportunity with data‑driven regional and segment tactics (Chapter 12-14).
Leverage this 360° intelligence to turn market complexity into actionable competitive advantage.
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 Study Coverage
1.1 Introduction to Supply Chain AI Agent: Definition, Properties, and Key Attributes
1.2 Market Segmentation by Type
1.2.1 Global Supply Chain AI Agent Market Size by Type, 2021 vs 2025 vs 2032
1.2.2 Cloud-based
1.2.3 On-premises
1.3 Market Segmentation by Intelligence Level
1.3.1 Global Supply Chain AI Agent Market Size by Intelligence Level, 2021 vs 2025 vs 2032
1.3.2 Analytical Agents
1.3.3 Autonomous Decision-Making Agents
1.3.4 Collaborative Multi-Agent Systems
1.4 Market Segmentation by Application
1.4.1 Global Supply Chain AI Agent Market Size by Application, 2021 vs 2025 vs 2032
1.4.2 Large Enterprises
1.4.3 Small and Medium-sized Enterprises
1.5 Assumptions and Limitations
1.6 Study Objectives
1.7 Years Considered
2 Executive Summary
2.1 Global Supply Chain AI Agent Revenue Estimates and Forecasts (2021-2032)
2.2 Global Supply Chain AI Agent Revenue by Region
2.2.1 Revenue Comparison: 2021 vs 2025 vs 2032
2.2.2 Historical and Forecasted Revenue by Region (2021-2032)
2.2.3 Global Revenue-Based Market Share by Region (2021-2032)
2.2.4 Emerging Market Focus: Growth Drivers & Investment Trends
3 Competitive Landscape
3.1 Global Supply Chain AI Agent Players’ Revenue Rankings and Profitability
3.1.1 Global Revenue (Value) by Players (2021-2026)
3.1.2 Global Key Players’ Revenue Ranking (2024 vs 2025)
3.1.3 Revenue-Based Tier Segmentation (Tier 1, Tier 2, and Tier 3)
3.1.4 Gross Margin by Top Players (2021 vs 2025)
3.2 Global Supply Chain AI Agent Companies Headquarters and Service Footprint
3.3 Key Player Market Share by Product Type
3.3.1 Cloud-based: Market Share by Key Players
3.3.2 On-premises: Market Share by Key Players
3.4 Global Supply Chain AI Agent Market Concentration and Dynamics
3.4.1 Global Market Concentration
3.4.2 Market Entry and Exit Analysis
3.4.3 Strategic Moves: M&A, Expansion, R&D Investment
4 Product Segmentation
4.1 Global Supply Chain AI Agent Market by Type
4.1.1 Global Revenue by Type (2021-2032)
4.1.2 Global Revenue-Based Market Share by Type (2021-2032)
4.2 Global Supply Chain AI Agent Market by Intelligence Level
4.2.1 Global Revenue by Intelligence Level (2021-2032)
4.2.2 Global Revenue-Based Market Share by Intelligence Level (2021-2032)
4.3 Key Product Attributes and Differentiation
4.4 Subtype Dynamics: Growth Leaders, Profitability and Risk
4.4.1 High-Growth Niches and Adoption Drivers
4.4.2 Profitability Hotspots and Cost Drivers
4.4.3 Substitution Threats
5 Downstream Applications and Customers
5.1 Global Supply Chain AI Agent Revenue by Application
5.1.1 Global Historical and Forecasted Revenue by Application (2021-2032)
5.1.2 Revenue-Based Market Share by Application (2021-2032)
5.1.3 High-Growth Application Identification
5.1.4 Emerging Application Case Studies
5.2 Downstream Customer Analysis
5.2.1 Top Customers by Region
5.2.2 Top Customers by Application
6 North America
6.1 North America Market Size (2021-2032)
6.2 North America Key Players’ Revenue in 2025
6.3 North America Supply Chain AI Agent Market Size by Application (2021-2032)
6.4 North America Growth Accelerators and Market Barriers
6.5 North America Supply Chain AI Agent Market Size by Country
6.5.1 North America Revenue Trends by Country
6.5.2 US
6.5.3 Canada
6.5.4 Mexico
7 Europe
7.1 Europe Market Size (2021-2032)
7.2 Europe Key Players’ Revenue in 2025
7.3 Europe Supply Chain AI Agent Market Size by Application (2021-2032)
7.4 Europe Growth Accelerators and Market Barriers
7.5 Europe Supply Chain AI Agent Market Size by Country
7.5.1 Europe Revenue Trends by Country
7.5.2 Germany
7.5.3 France
7.5.4 U.K.
7.5.5 Italy
7.5.6 Russia
8 Asia-Pacific
8.1 Asia-Pacific Market Size (2021-2032)
8.2 Asia-Pacific Key Players’ Revenue in 2025
8.3 Asia-Pacific Supply Chain AI Agent Market Size by Application (2021-2032)
8.4 Asia-Pacific Growth Accelerators and Market Barriers
8.5 Asia-Pacific Supply Chain AI Agent Market Size by Region
8.5.1 Asia-Pacific Revenue Trends by Region
8.6 China
8.7 Japan
8.8 South Korea
8.9 Australia
8.10 India
8.11 Southeast Asia
8.11.1 Indonesia
8.11.2 Vietnam
8.11.3 Malaysia
8.11.4 Philippines
8.11.5 Singapore
9 Central and South America
9.1 Central and South America Market Size (2021-2032)
9.2 Central and South America Key Players’ Revenue in 2025
9.3 Central and South America Supply Chain AI Agent Market Size by Application (2021-2032)
9.4 Central and South America Investment Opportunities and Key Challenges
9.5 Central and South America Supply Chain AI Agent Market Size by Country
9.5.1 Central and South America Revenue Trends by Country (2021 vs 2025 vs 2032)
9.5.2 Brazil
9.5.3 Argentina
10 Middle East and Africa
10.1 Middle East and Africa Market Size (2021-2032)
10.2 Middle East and Africa Key Players’ Revenue in 2025
10.3 Middle East and Africa Supply Chain AI Agent Market Size by Application (2021-2032)
10.4 Middle East and Africa Investment Opportunities and Key Challenges
10.5 Middle East and Africa Supply Chain AI Agent Market Size by Country
10.5.1 Middle East and Africa Revenue Trends by Country (2021 vs 2025 vs 2032)
10.5.2 GCC Countries
10.5.3 Israel
10.5.4 Egypt
10.5.5 South Africa
11 Corporate Profile
11.1 SAP
11.1.1 SAP Corporation Information
11.1.2 SAP Business Overview
11.1.3 SAP Supply Chain AI Agent Product Features and Attributes
11.1.4 SAP Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.1.5 SAP Supply Chain AI Agent Revenue by Product in 2025
11.1.6 SAP Supply Chain AI Agent Revenue by Application in 2025
11.1.7 SAP Supply Chain AI Agent Revenue by Geographic Area in 2025
11.1.8 SAP Supply Chain AI Agent SWOT Analysis
11.1.9 SAP Recent Developments
11.2 Oracle
11.2.1 Oracle Corporation Information
11.2.2 Oracle Business Overview
11.2.3 Oracle Supply Chain AI Agent Product Features and Attributes
11.2.4 Oracle Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.2.5 Oracle Supply Chain AI Agent Revenue by Product in 2025
11.2.6 Oracle Supply Chain AI Agent Revenue by Application in 2025
11.2.7 Oracle Supply Chain AI Agent Revenue by Geographic Area in 2025
11.2.8 Oracle Supply Chain AI Agent SWOT Analysis
11.2.9 Oracle Recent Developments
11.3 Microsoft
11.3.1 Microsoft Corporation Information
11.3.2 Microsoft Business Overview
11.3.3 Microsoft Supply Chain AI Agent Product Features and Attributes
11.3.4 Microsoft Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.3.5 Microsoft Supply Chain AI Agent Revenue by Product in 2025
11.3.6 Microsoft Supply Chain AI Agent Revenue by Application in 2025
11.3.7 Microsoft Supply Chain AI Agent Revenue by Geographic Area in 2025
11.3.8 Microsoft Supply Chain AI Agent SWOT Analysis
11.3.9 Microsoft Recent Developments
11.4 Blue Yonder
11.4.1 Blue Yonder Corporation Information
11.4.2 Blue Yonder Business Overview
11.4.3 Blue Yonder Supply Chain AI Agent Product Features and Attributes
11.4.4 Blue Yonder Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.4.5 Blue Yonder Supply Chain AI Agent Revenue by Product in 2025
11.4.6 Blue Yonder Supply Chain AI Agent Revenue by Application in 2025
11.4.7 Blue Yonder Supply Chain AI Agent Revenue by Geographic Area in 2025
11.4.8 Blue Yonder Supply Chain AI Agent SWOT Analysis
11.4.9 Blue Yonder Recent Developments
11.5 Palantir
11.5.1 Palantir Corporation Information
11.5.2 Palantir Business Overview
11.5.3 Palantir Supply Chain AI Agent Product Features and Attributes
11.5.4 Palantir Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.5.5 Palantir Supply Chain AI Agent Revenue by Product in 2025
11.5.6 Palantir Supply Chain AI Agent Revenue by Application in 2025
11.5.7 Palantir Supply Chain AI Agent Revenue by Geographic Area in 2025
11.5.8 Palantir Supply Chain AI Agent SWOT Analysis
11.5.9 Palantir Recent Developments
11.6 Manhattan Associates
11.6.1 Manhattan Associates Corporation Information
11.6.2 Manhattan Associates Business Overview
11.6.3 Manhattan Associates Supply Chain AI Agent Product Features and Attributes
11.6.4 Manhattan Associates Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.6.5 Manhattan Associates Recent Developments
11.7 Kinaxis
11.7.1 Kinaxis Corporation Information
11.7.2 Kinaxis Business Overview
11.7.3 Kinaxis Supply Chain AI Agent Product Features and Attributes
11.7.4 Kinaxis Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.7.5 Kinaxis Recent Developments
11.8 Infor
11.8.1 Infor Corporation Information
11.8.2 Infor Business Overview
11.8.3 Infor Supply Chain AI Agent Product Features and Attributes
11.8.4 Infor Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.8.5 Infor Recent Developments
11.9 Coupa
11.9.1 Coupa Corporation Information
11.9.2 Coupa Business Overview
11.9.3 Coupa Supply Chain AI Agent Product Features and Attributes
11.9.4 Coupa Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.9.5 Coupa Recent Developments
11.10 o9 Solutions
11.10.1 o9 Solutions Corporation Information
11.10.2 o9 Solutions Business Overview
11.10.3 o9 Solutions Supply Chain AI Agent Product Features and Attributes
11.10.4 o9 Solutions Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.10.5 Company Ten Recent Developments
11.11 ServiceNow
11.11.1 ServiceNow Corporation Information
11.11.2 ServiceNow Business Overview
11.11.3 ServiceNow Supply Chain AI Agent Product Features and Attributes
11.11.4 ServiceNow Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.11.5 ServiceNow Recent Developments
11.12 IBM
11.12.1 IBM Corporation Information
11.12.2 IBM Business Overview
11.12.3 IBM Supply Chain AI Agent Product Features and Attributes
11.12.4 IBM Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.12.5 IBM Recent Developments
11.13 Celonis
11.13.1 Celonis Corporation Information
11.13.2 Celonis Business Overview
11.13.3 Celonis Supply Chain AI Agent Product Features and Attributes
11.13.4 Celonis Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.13.5 Celonis Recent Developments
11.14 UiPath
11.14.1 UiPath Corporation Information
11.14.2 UiPath Business Overview
11.14.3 UiPath Supply Chain AI Agent Product Features and Attributes
11.14.4 UiPath Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.14.5 UiPath Recent Developments
11.15 C3 AI
11.15.1 C3 AI Corporation Information
11.15.2 C3 AI Business Overview
11.15.3 C3 AI Supply Chain AI Agent Product Features and Attributes
11.15.4 C3 AI Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.15.5 C3 AI Recent Developments
11.16 GEP
11.16.1 GEP Corporation Information
11.16.2 GEP Business Overview
11.16.3 GEP Supply Chain AI Agent Product Features and Attributes
11.16.4 GEP Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.16.5 GEP Recent Developments
11.17 project44
11.17.1 project44 Corporation Information
11.17.2 project44 Business Overview
11.17.3 project44 Supply Chain AI Agent Product Features and Attributes
11.17.4 project44 Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.17.5 project44 Recent Developments
11.18 FourKites
11.18.1 FourKites Corporation Information
11.18.2 FourKites Business Overview
11.18.3 FourKites Supply Chain AI Agent Product Features and Attributes
11.18.4 FourKites Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.18.5 FourKites Recent Developments
11.19 Ivalua
11.19.1 Ivalua Corporation Information
11.19.2 Ivalua Business Overview
11.19.3 Ivalua Supply Chain AI Agent Product Features and Attributes
11.19.4 Ivalua Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.19.5 Ivalua Recent Developments
11.20 JAGGAER
11.20.1 JAGGAER Corporation Information
11.20.2 JAGGAER Business Overview
11.20.3 JAGGAER Supply Chain AI Agent Product Features and Attributes
11.20.4 JAGGAER Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.20.5 JAGGAER Recent Developments
11.21 Authine
11.21.1 Authine Corporation Information
11.21.2 Authine Business Overview
11.21.3 Authine Supply Chain AI Agent Product Features and Attributes
11.21.4 Authine Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.21.5 Authine Recent Developments
11.22 Kingdee
11.22.1 Kingdee Corporation Information
11.22.2 Kingdee Business Overview
11.22.3 Kingdee Supply Chain AI Agent Product Features and Attributes
11.22.4 Kingdee Supply Chain AI Agent Revenue and Gross Margin (2021-2026)
11.22.5 Kingdee Recent Developments
12 Supply Chain AI Agent Value Chain and Ecosystem Analysis
12.1 Supply Chain AI Agent Value Chain (Ecosystem Structure)
12.2 Upstream Analysis
12.2.1 Key Technologies, Platforms and Infrastructure
12.3 Midstream Analysis
12.4 Downstream Sales Model and Distribution Networks
12.4.1 Sales Channels
12.4.2 Distributors
13 Supply Chain AI Agent Market Dynamics
13.1 Industry Trends and Evolution
13.2 Market Growth Drivers and Emerging Opportunities
13.3 Market Challenges, Risks, and Restraints
14 Key Findings in the Global Supply Chain AI Agent Study
15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.1.1 Research Programs/Design
15.1.1.2 Market Size Estimation
15.1.1.3 Market Breakdown and Data Triangulation
15.1.2 Data Source
15.1.2.1 Secondary Sources
15.1.2.2 Primary Sources
15.2 Author Details
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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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.
Published Date: 2026-07-24
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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.
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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 Date: 2026-07-24
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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.
Published: 2026-07-24
Pages: 158
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 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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