공급망 및 물류용 에이전트형 AI 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

The global agentic AI in the supply chain and logistics market report size is expected to reach USD 24.51 Billion in 2034 from USD 8.67 Billion in 2025, growing at a CAGR of 12.24 during 2026-2034.This market is expanding rapidly due to the need for faster, smarter, and more adaptive operations. Businesses are adopting autonomous AI agents to manage inventory, route shipments, forecast demand, and reduce disruptions. Increasing global trade complexity and e-commerce growth are driving demand for intelligent decision-making systems across logistics networks.

One of the major drivers is the rising pressure to improve delivery speed and customer satisfaction. Agentic AI can automatically reroute shipments, optimize warehouse operations, and respond to sudden delays caused by weather, labor shortages, or geopolitical factors. Companies also benefit from reduced transportation costs, better fleet utilization, and stronger visibility throughout the supply chain process.

Looking ahead, the market is expected to grow significantly as digital transformation continues across logistics ecosystems. Future agentic AI systems may coordinate entire multi-modal supply chains with minimal human input. Integration with IoT sensors, robotics, and blockchain platforms will create more transparent and efficient logistics networks, making agentic AI a strategic investment for global enterprises.

Our reports are carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

MARKET SEGMENTATION

By Component

• Software Platforms
• AI-enabled Hardware Systems
• Services (Integration and Consulting)

By Application

• Demand Forecasting and Planning
• Warehouse and Fulfillment Optimization
• Transportation Routing and Fleet Management
• Procurement and Sourcing Automation
• Last-mile Delivery Orchestration
• Other Applications

By Industry Vertical

• Retail and E-Commerce
• Manufacturing
• Food and Beverage
• Healthcare and Pharmaceuticals
• Automotive
• Other Industry Verticals

By Deployment Mode

• Cloud-based
• On-Premise
• Hybrid

COMPANIES PROFILED

• Blue Yonder, Coupa Software, Kinaxis, Manhattan Associates, o9 Solutions, C3 AI, Flexport, project44, FourKites, Dematic, GreyOrange, Fetch Robotics, Berkshire Grey, 6 River Systems, Locus

TABLE OF CONTENTS

Chapter 1. PREFACE

• 1.1. Market Segmentation & Scope
• 1.2. Market Definition
• 1.3. Information Procurement
  • 1.3.1 Information Analysis
  • 1.3.2 Market Formulation & Data Visualization
  • 1.3.3 Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

• 2.1. Market Snapshot
• 2.2. Segmental Outlook
• 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

• 3.1. Market Lineage Outlook
• 3.2. Penetration & Growth Prospect Mapping
• 3.3. Value Chain Analysis
• 3.4. Regulatory Framework
  • 3.4.1 Standards & Compliance
  • 3.4.2 Regulatory Impact Analysis
• 3.5. Market Dynamics
  • 3.5.1 Market Drivers
  • 3.5.2 Market Restraints
  • 3.5.3 Market Opportunities
  • 3.5.4 Market Challenges
• 3.6. Porter's Five Forces Analysis
• 3.7. PESTLE Analysis

Chapter 4. GLOBAL AGENTIC AI IN THE SUPPLY CHAIN AND LOGISTICS MARKET: BY COMPONENT 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Component
• 4.2. Software Platforms Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. AI-enabled Hardware Systems Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.4. Services (Integration and Consulting) Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL AGENTIC AI IN THE SUPPLY CHAIN AND LOGISTICS MARKET: BY APPLICATION 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Application
• 5.2. Demand Forecasting and Planning Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Warehouse and Fulfillment Optimization Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Transportation Routing and Fleet Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.5. Procurement and Sourcing Automation Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.6. Last-mile Delivery Orchestration Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.7. Other Applications Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL AGENTIC AI IN THE SUPPLY CHAIN AND LOGISTICS MARKET: BY INDUSTRY VERTICAL 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Industry Vertical
• 6.2. Retail and E-Commerce Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. Manufacturing Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. Food and Beverage Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.5. Healthcare and Pharmaceuticals Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.6. Automotive Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.7. Other Industry Verticals Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL AGENTIC AI IN THE SUPPLY CHAIN AND LOGISTICS MARKET: BY DEPLOYMENT MODE 2022-2034 (USD MN)

• 7.1. Market Analysis, Insights and Forecast Deployment Mode
• 7.2. Cloud-based Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.3. On-Premise Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.4. Hybrid Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL AGENTIC AI IN THE SUPPLY CHAIN AND LOGISTICS MARKET: BY REGION 2022-2034 (USD MN)

• 8.1. Regional Outlook
• 8.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.2.1 By Component
  • 8.2.2 By Application
  • 8.2.3 By Industry Vertical
  • 8.2.4 By Deployment Mode
  • 8.2.5 United States
  • 8.2.6 Canada
  • 8.2.7 Mexico
• 8.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.3.1 By Component
  • 8.3.2 By Application
  • 8.3.3 By Industry Vertical
  • 8.3.4 By Deployment Mode
  • 8.3.5 United Kingdom
  • 8.3.6 France
  • 8.3.7 Germany
  • 8.3.8 Italy
  • 8.3.9 Russia
  • 8.3.10 Rest Of Europe
• 8.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.4.1 By Component
  • 8.4.2 By Application
  • 8.4.3 By Industry Vertical
  • 8.4.4 By Deployment Mode
  • 8.4.5 India
  • 8.4.6 Japan
  • 8.4.7 South Korea
  • 8.4.8 Australia
  • 8.4.9 South East Asia
  • 8.4.10 Rest Of Asia Pacific
• 8.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.5.1 By Component
  • 8.5.2 By Application
  • 8.5.3 By Industry Vertical
  • 8.5.4 By Deployment Mode
  • 8.5.5 Brazil
  • 8.5.6 Argentina
  • 8.5.7 Peru
  • 8.5.8 Chile
  • 8.5.9 Rest of Latin America
• 8.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.6.1 By Component
  • 8.6.2 By Application
  • 8.6.3 By Industry Vertical
  • 8.6.4 By Deployment Mode
  • 8.6.5 Saudi Arabia
  • 8.6.6 UAE
  • 8.6.7 Israel
  • 8.6.8 South Africa
  • 8.6.9 Rest of the Middle East And Africa

Chapter 9. COMPETITIVE LANDSCAPE

• 9.1. Recent Developments
• 9.2. Company Categorization
• 9.3. Supply Chain & Channel Partners (based on availability)
• 9.4. Market Share & Positioning Analysis (based on availability)
• 9.5. Vendor Landscape (based on availability)
• 9.6. Strategy Mapping

Chapter 10. COMPANY PROFILES OF GLOBAL AGENTIC AI IN THE SUPPLY CHAIN AND LOGISTICS INDUSTRY

• 10.1. Top Companies Market Share Analysis
• 10.2. Company Profiles
  • 10.2.1 Blue Yonder
  • 10.2.2 Coupa Software
  • 10.2.3 Kinaxis
  • 10.2.4 Manhattan Associates
  • 10.2.5 O9 Solutions
  • 10.2.6 C3 AI
  • 10.2.7 Flexport
  • 10.2.8 Project44
  • 10.2.9 FourKites
  • 10.2.10 Dematic
  • 10.2.11 GreyOrange
  • 10.2.12 Fetch Robotics
  • 10.2.13 Berkshire Grey
  • 10.2.14 6 River Systems
  • 10.2.15 Locus