全球供應鏈和物流領域基於代理的人工智慧市場：市場規模、佔有率、趨勢和成長分析報告（2026-2034）

全球供應鏈和物流領域基於代理的人工智慧市場預計將從2025年的86.7億美元成長至2034年的245.1億美元，2026年至2034年的複合年成長率（CAGR）為12.24%。該市場快速擴張的原因在於企業對更快、更智慧、更靈活的營運模式的需求。各公司正在部署自主人工智慧代理，用於庫存管理、最佳化配送路線、預測需求以及減少營運中斷。全球貿易日益複雜化以及電子商務的蓬勃發展，正在推動整個物流網路對智慧決策系統的需求。

推動這一趨勢的主要動力之一是企業面臨的日益成長的提升配送速度和客戶滿意度的壓力。基於代理的人工智慧可以自動重新規劃運輸路線、最佳化倉庫運營，並應對天氣、人手不足和地緣政治因素造成的意外延誤。企業還可以從降低運輸成本、提高車輛運轉率以及增強整個供應鏈流程的透明度中獲益。

隨著數位轉型在整個物流生態系統中的推進，市場預計將顯著成長。未來的智慧體人工智慧系統或許能夠在極少人工干預的情況下協調整個多模態供應鏈。與物聯網感測器、機器人和區塊鏈平台的整合將建立更透明且有效率的物流網路，使智慧體人工智慧成為全球企業的策略性投資。

我們的報告經過精心撰寫，旨在提供涵蓋廣泛行業和市場的全面且切實可行的洞察。每份報告都包含幾個關鍵組成部分，旨在幫助您全面了解市場環境：

市場概覽：本節提供清晰的市場概覽，包括關鍵定義、分類和當前產業格局。

市場動態：對影響市場成長的主要促進因素、限制因素、機會和挑戰進行詳細評估。這包括技術發展、法律規範和不斷變化的行業趨勢等因素。

市場區隔分析：本部分依據產品類型、應用、最終使用者和地區，將市場系統性地分類為若干關鍵細分市場。本部分揭示了每個細分市場的表現、成長潛力和貢獻。

競爭格局：我們對主要市場參與企業的市場定位、產品系列、策略舉措和財務表現進行了詳細評估。這為了解競爭對手的趨勢和主要參與者所採取的策略提供了寶貴的見解。

市場預測：本預測是基於指定預測期內的市場規模和成長模式數據。本節結合歷史趨勢、當前市場狀況和定量分析，揭示未來預期趨勢。

區域分析：我們全面檢驗主要地理區域的市場趨勢，並識別高成長領域和區域趨勢，以更深入地了解每個區域的市場機會。

新趨勢與新機會：識別關鍵市場趨勢、技術進步和新興投資機會。本部分重點在於潛在成長領域和未來產業趨勢。

客製化選項：我們提供靈活的客製化服務，可根據您的具體需求自訂報告。這包括額外的細分、特定國家/地區的分析、競爭對手分析、客製化資料點，或針對特定細分市場的深入洞察，以更好地支援您的策略決策。

目錄

第1章：引言

第2章執行摘要

第3章 市場變數、趨勢與框架

• 市場譜系展望
• 滲透率和成長前景分析
• 價值鏈分析
• 法律規範
  • 標準與合規性
  • 監管影響分析
• 市場動態
  • 市場促進因素
  • 市場限制因素
  • 市場機遇
  • 市場挑戰
• 波特五力分析
• PESTLE分析

第4章 全球供應鏈與物流市場：依組件分類

• 市場分析、洞察與預測
• 軟體平台
• 人工智慧驅動的硬體系統
• 服務（整合和諮詢）

第5章 全球供應鏈與物流市場：依應用分類

• 市場分析、洞察與預測
• 需求預測與規劃
• 最佳化倉庫和履約
• 交通路線規劃與車輛管理
• 採購與尋源自動化
• 最後一公里配送編配
• 其他用途

第6章 全球供應鏈與物流市場：依產業分類

• 市場分析、洞察與預測
• 零售與電子商務
• 製造業
• 食品/飲料
• 醫療和藥品
• 車
• 其他工業部門

第7章 全球供應鏈與物流市場：依部署模式分類

• 市場分析、洞察與預測
• 基於雲端的
• 現場
• 混合

第8章 全球供應鏈與物流市場：依地區分類

• 區域分析
• 北美市場分析、洞察與預測
  • 美國
  • 加拿大
  • 墨西哥
• 歐洲市場分析、洞察與預測
  • 英國
  • 法國
  • 德國
  • 義大利
  • 俄羅斯
  • 其他歐洲國家
• 亞太市場分析、洞察與預測
  • 印度
  • 日本
  • 韓國
  • 澳洲
  • 東南亞
  • 其他亞太國家
• 拉丁美洲市場分析、洞察與預測
  • 巴西
  • 阿根廷
  • 秘魯
  • 智利
  • 其他拉丁美洲國家
• 中東和非洲市場分析、洞察與預測
  • 沙烏地阿拉伯
  • UAE
  • 以色列
  • 南非
  • 其他中東和非洲國家

第9章 競爭情勢

• 最新趨勢
• 公司分類
• 供應鏈和銷售管道合作夥伴（根據現有資訊）
• 市場佔有率和市場定位分析（基於現有資訊）
• 供應商情況（基於現有資訊）
• 策略規劃

第10章：公司簡介

• 主要公司的市佔率分析
• 公司簡介
  • Blue Yonder
  • Coupa Software
  • Kinaxis
  • Manhattan Associates
  • O9 Solutions
  • C3 AI
  • Flexport
  • Project44
  • FourKites
  • Dematic
  • GreyOrange
  • Fetch Robotics
  • Berkshire Grey
  • 6 River Systems
  • Locus

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