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市場調查報告書
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1916761

全球自主物流協調市場預測（至2032年）：依解決方案類型、組件、技術、應用、最終用戶和地區分類

Autonomous Logistics Coordination Market Forecasts to 2032 - Global Analysis By Solution Type, Component, Technology, Application, End User, and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的研究，預計到 2025 年，全球自主物流協調市場規模將達到 29 億美元，到 2032 年將達到 39 億美元，預測期內複合年成長率為 4.3%。

自主物流協調融合了人工智慧 (AI)、機器人和物聯網 (IoT) 技術，旨在以最少的人工干預簡化供應鏈營運。這使得自動駕駛車輛、無人機和機器人倉庫能夠實現即時路線規劃、動態庫存管理以及高效的資源分配。這些系統利用機器學習和感測器數據，預測需求、最佳化交付計劃並降低營運成本。最終建構出更快、更精準、更永續的物流網路，使全球分銷在日益複雜的供應鏈環境中更有效率、更具韌性、更易於適應。

自動化倉庫的日益普及

全球供應鏈中自主倉儲解決方案的日益普及，正推動自主物流協調市場的成長。在電子商務交易量不斷成長和對快速訂單履行需求日益增加的推動下，物流業者正在加速採用自主移動機器人和自動化倉儲系統。在這種環境下，一個能夠即時管理任務分配、路徑規劃和資產利用率的先進協調平台至關重要。隨著倉庫轉型為高吞吐量、低勞動效率的營運模式，自主協調技術正成為維持生產力和營運擴充性的關鍵組成部分。

物流系統互通性面臨的挑戰

物流系統間的互通性挑戰是限制自主物流協調市場發展的一大因素。物流環境通常由不同供應商開發的異質軟體平台、自動化硬體和舊有系統組成。在這種分散的生態系統中整合自主協調解決方案需要標準化的介面和複雜的系統協調。儘管技術不斷進步，但如何在多供應商物流基礎架構中實現無縫資料交換和同步運作仍然是影響實施進度的關鍵因素。

人工智慧驅動的即時艦隊編配

人工智慧驅動的即時車隊編配為自主物流協調市場帶來了巨大的機會。先進的人工智慧演算法能夠實現自主車隊的動態任務調度、預測路徑規劃和擁塞規避。在物流網路日益複雜的背景下，智慧編配平台可以提高資產利用率、減少營運延誤並增強服務可靠性。對人工智慧物流軟體的投資不斷成長，正在加速其應用，尤其是在高吞吐量配銷中心和自動化樞紐，這使得即時車隊編配成為強勁的成長催化劑。

自治網路中的網路安全風險

自主物流網路面臨網路安全風險相關的市場威脅。自主協調平台高度依賴車輛、控制系統和雲端基礎設施之間持續的資料交換。這些網路中的漏洞會影響運作完整性和系統可靠性。隨著物流自動化程度的提高，確保通訊協定和數位控制層的安全變得日益重要。市場參與企業正優先部署網路安全加固型架構，以支援安全可靠的自主物流運作。

新冠疫情的影響：

新冠疫情加速了物流和倉儲營運自動化需求的成長。勞動力短缺、維持社交距離的要求以及供應鏈中斷促使物流供應商部署自主系統以維持業務永續營運。這導致在疫情恢復期，對自主物流協調平台的投資大幅增加。對供應鏈韌性和自動化驅動效率的日益重視，支撐了市場的持續成長勢頭，並鞏固了自主協調技術的長期重要性。

在預測期內，車隊管理平台細分市場將佔據最大的市場佔有率。

預計在預測期內，車隊管理平台細分市場將佔據最大的市場佔有率，這反映了其在協調自動駕駛車輛和機器人資產方面發揮的核心作用。這些平台可提供物流車隊的即時視覺性、任務最佳化和效能分析。倉庫和配銷中心自動駕駛車輛的日益普及推動了對綜合車隊管理解決方案的需求，使該細分市場成為市場的主要收入驅動力。

在預測期內，軟體平台細分市場將呈現最高的複合年成長率。

預計在預測期內，軟體平台細分市場將實現最高成長率，這主要得益於基於雲端和人工智慧的協調解決方案的日益普及。軟體平台具備擴充性、快速更新和跨不同物流環境的柔軟性。隨著營運商將數據驅動決策和自適應自動化置於優先地位，對先進物流軟體的需求持續成長，使該細分市場成為市場中成長最快的部分。

佔比最大的地區：

由於電子商務、製造業和物流基礎設施的快速成長，亞太地區預計將在預測期內佔據最大的市場佔有率。中國、日本和韓國等國家正大力投資倉儲自動化和智慧物流中心。大型分銷網路中自動化技術的廣泛應用，進一步鞏固了該地區在自主物流協調解決方案領域的主導地位。

年複合成長率最高的地區：

在預測期內，北美預計將實現最高的複合年成長率，這主要得益於該地區對先進自動化和人工智慧驅動的物流技術的早期應用。強大的技術供應商網路以及對智慧倉庫和履約中心的巨額投資，正在推動市場成長。零售、第三方物流和產業部門的需求持續增強，進一步鞏固了該地區的擴張趨勢。

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目錄

第1章執行摘要

第2章 前言

  • 概括
  • 相關利益者
  • 調查範圍
  • 調查方法
  • 研究材料

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球自主物流協調市場（依解決方案類型分類）

  • 車隊管理平台
  • 倉庫對帳軟體
  • 路線最佳化引擎
  • 即時決策系統

6. 全球自主物流協調市場（依組件分類）

  • 軟體平台
  • 感測器和物聯網設備
  • 通訊模組
  • 控制系統

7. 全球自主物流協調市場（依技術分類）

  • 人工智慧
  • 機器學習
  • 數位雙胞胎
  • 基於雲端的編配

8. 全球自主物流協調市場（依應用領域分類）

  • 倉庫管理
  • 最後一公里配送
  • 製造物流
  • 低溫運輸物流

9. 全球自主物流協調市場（以最終用戶分類）

  • 物流服務供應商
  • EC公司
  • 製造商
  • 零售商

第10章 全球自主物流協調市場（依地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美國家
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 併購
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章 企業概況

  • Amazon Robotics
  • Daifuku Co., Ltd.
  • SSI Schaefer
  • Dematic
  • KION Group
  • Honeywell Intelligrated
  • Toyota Industries Corporation
  • Murata Machinery
  • GreyOrange
  • AutoStore
  • Locus Robotics
  • Fetch Robotics
  • 6 River Systems
  • Blue Yonder
  • Manhattan Associates
  • SAP SE
  • Oracle Corporation
  • Descartes Systems Group
Product Code: SMRC33335

According to Stratistics MRC, the Global Autonomous Logistics Coordination Market is accounted for $2.9 billion in 2025 and is expected to reach $3.9 billion by 2032 growing at a CAGR of 4.3% during the forecast period. Autonomous Logistics Coordination is the integration of artificial intelligence, robotics, and IoT technologies to streamline supply chain operations with minimal human oversight. It enables real-time routing, dynamic inventory management, and efficient resource allocation across autonomous vehicles, drones, and robotic warehouses. By harnessing machine learning and sensor data, these systems can forecast demand, optimize delivery schedules, and reduce operational costs. The result is faster, more accurate, and sustainable logistics networks that enhance global distribution efficiency, resilience, and adaptability in increasingly complex supply chain environments.

Market Dynamics:

Driver:

Rising adoption of autonomous warehousing

The autonomous logistics coordination market is driven by the rising adoption of autonomous warehousing solutions across global supply chains. Fueled by growing e-commerce volumes and demand for faster order fulfillment, logistics operators are increasingly deploying autonomous mobile robots and automated storage systems. These environments require advanced coordination platforms to manage task allocation, routing, and asset utilization in real time. As warehouses transition toward high-throughput, labor-efficient operations, autonomous coordination technologies are becoming essential to sustain productivity and operational scalability.

Restraint:

Interoperability challenges across logistics systems

Interoperability challenges across logistics systems present a restraint for the autonomous logistics coordination market. Logistics environments typically consist of heterogeneous software platforms, automation hardware, and legacy systems developed by different vendors. Integrating autonomous coordination solutions across these fragmented ecosystems requires standardized interfaces and complex system harmonization. While technological progress continues, achieving seamless data exchange and synchronized operations across multi-vendor logistics infrastructures remains a critical consideration influencing deployment timelines.

Opportunity:

AI-driven real-time fleet orchestration

AI-driven real-time fleet orchestration represents a significant opportunity within the autonomous logistics coordination market. Advanced AI algorithms enable dynamic task scheduling, predictive routing, and congestion avoidance across autonomous fleets. As logistics networks scale in complexity, intelligent orchestration platforms improve asset utilization, reduce operational latency, and enhance service reliability. Growing investments in AI-powered logistics software are accelerating adoption, particularly in high-volume distribution centers and automated hubs, positioning real-time fleet orchestration as a strong growth catalyst.

Threat:

Cybersecurity risks in autonomous networks

The market faces threats associated with cybersecurity risks in autonomous logistics networks. Autonomous coordination platforms rely heavily on continuous data exchange between vehicles, control systems, and cloud infrastructure. Any vulnerabilities within these networks can impact operational integrity and system reliability. As logistics automation expands, securing communication protocols and digital control layers is becoming increasingly important. Market participants are prioritizing cybersecurity-enhanced architectures to support safe and resilient autonomous logistics operations.

Covid-19 Impact:

The COVID-19 pandemic accelerated demand for automation within logistics and warehousing operations. Labor shortages, social distancing requirements, and supply chain disruptions encouraged logistics providers to adopt autonomous systems to maintain continuity. As a result, investments in autonomous logistics coordination platforms increased during recovery phases. Enhanced focus on supply chain resilience and automation-driven efficiency supported sustained market momentum, reinforcing the long-term relevance of autonomous coordination technologies.

The fleet management platforms segment is expected to be the largest during the forecast period

The fleet management platforms segment is expected to account for the largest market share during the forecast period, reflecting its central role in coordinating autonomous vehicles and robotic assets. These platforms provide real-time visibility, task optimization, and performance analytics across logistics fleets. Growing deployment of autonomous vehicles in warehouses and distribution centers is reinforcing demand for comprehensive fleet management solutions, making this segment a primary revenue contributor within the market.

The software platforms segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the software platforms segment is predicted to witness the highest growth rate, driven by increasing adoption of cloud-based and AI-enabled coordination solutions. Software platforms offer scalability, rapid updates, and integration flexibility across diverse logistics environments. As operators prioritize data-driven decision-making and adaptive automation, demand for advanced logistics software continues to accelerate, positioning this segment as the fastest-growing component of the market.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, ascribed to rapid growth in e-commerce, manufacturing, and logistics infrastructure. Countries such as China, Japan, and South Korea are heavily investing in warehouse automation and smart logistics hubs. Strong adoption of autonomous technologies across large-scale distribution networks is reinforcing regional leadership in autonomous logistics coordination solutions.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR associated with early adoption of advanced automation and AI-driven logistics technologies. Strong presence of technology providers, coupled with significant investments in smart warehouses and fulfillment centers, is accelerating market growth. Demand from retail, third-party logistics, and industrial sectors continues to strengthen regional expansion dynamics.

Key players in the market

Some of the key players in Autonomous Logistics Coordination Market include Amazon Robotics, Daifuku Co., Ltd., SSI Schaefer, Dematic, KION Group, Honeywell Intelligrated, Toyota Industries Corporation, Murata Machinery, GreyOrange, AutoStore, Locus Robotics, Fetch Robotics, 6 River Systems, Blue Yonder, Manhattan Associates, SAP SE, Oracle Corporation and Descartes Systems Group.

Key Developments:

In December 2025, GreyOrange launched its AI-Driven Fulfillment Orchestration Platform, integrating robotic picking with predictive demand analytics, enabling warehouses to dynamically allocate resources and reduce order cycle times across omnichannel logistics networks.

In November 2025, AutoStore introduced its NextGen Cube Storage System, combining autonomous bin-handling robots with advanced software coordination, improving storage density and retrieval speed for e-commerce and retail distribution centers.

In September 2025, Dematic expanded its Autonomous Coordination Hub, integrating robotic shuttles and AI-driven scheduling algorithms, helping manufacturers optimize intralogistics flows and achieve higher throughput in complex production environments.

Solution Types Covered:

  • Fleet Management Platforms
  • Warehouse Coordination Software
  • Route Optimization Engines
  • Real-Time Decision Systems

Components Covered:

  • Software Platforms
  • Sensors & IoT Devices
  • Communication Modules
  • Control Systems

Technologies Covered:

  • Artificial Intelligence
  • Machine Learning
  • Digital Twins
  • Cloud-Based Orchestration

Applications Covered:

  • Warehousing
  • Last-Mile Delivery
  • Manufacturing Logistics
  • Cold Chain Logistics

End Users Covered:

  • Logistics Service Providers
  • E-Commerce Companies
  • Manufacturers
  • Retailers

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Autonomous Logistics Coordination Market, By Solution Type

  • 5.1 Introduction
  • 5.2 Fleet Management Platforms
  • 5.3 Warehouse Coordination Software
  • 5.4 Route Optimization Engines
  • 5.5 Real-Time Decision Systems

6 Global Autonomous Logistics Coordination Market, By Component

  • 6.1 Introduction
  • 6.2 Software Platforms
  • 6.3 Sensors & IoT Devices
  • 6.4 Communication Modules
  • 6.5 Control Systems

7 Global Autonomous Logistics Coordination Market, By Technology

  • 7.1 Introduction
  • 7.2 Artificial Intelligence
  • 7.3 Machine Learning
  • 7.4 Digital Twins
  • 7.5 Cloud-Based Orchestration

8 Global Autonomous Logistics Coordination Market, By Application

  • 8.1 Introduction
  • 8.2 Warehousing
  • 8.3 Last-Mile Delivery
  • 8.4 Manufacturing Logistics
  • 8.5 Cold Chain Logistics

9 Global Autonomous Logistics Coordination Market, By End User

  • 9.1 Introduction
  • 9.2 Logistics Service Providers
  • 9.3 E-Commerce Companies
  • 9.4 Manufacturers
  • 9.5 Retailers

10 Global Autonomous Logistics Coordination Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Amazon Robotics
  • 12.2 Daifuku Co., Ltd.
  • 12.3 SSI Schaefer
  • 12.4 Dematic
  • 12.5 KION Group
  • 12.6 Honeywell Intelligrated
  • 12.7 Toyota Industries Corporation
  • 12.8 Murata Machinery
  • 12.9 GreyOrange
  • 12.10 AutoStore
  • 12.11 Locus Robotics
  • 12.12 Fetch Robotics
  • 12.13 6 River Systems
  • 12.14 Blue Yonder
  • 12.15 Manhattan Associates
  • 12.16 SAP SE
  • 12.17 Oracle Corporation
  • 12.18 Descartes Systems Group

List of Tables

  • Table 1 Global Autonomous Logistics Coordination Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Autonomous Logistics Coordination Market Outlook, By Solution Type (2024-2032) ($MN)
  • Table 3 Global Autonomous Logistics Coordination Market Outlook, By Fleet Management Platforms (2024-2032) ($MN)
  • Table 4 Global Autonomous Logistics Coordination Market Outlook, By Warehouse Coordination Software (2024-2032) ($MN)
  • Table 5 Global Autonomous Logistics Coordination Market Outlook, By Route Optimization Engines (2024-2032) ($MN)
  • Table 6 Global Autonomous Logistics Coordination Market Outlook, By Real-Time Decision Systems (2024-2032) ($MN)
  • Table 7 Global Autonomous Logistics Coordination Market Outlook, By Component (2024-2032) ($MN)
  • Table 8 Global Autonomous Logistics Coordination Market Outlook, By Software Platforms (2024-2032) ($MN)
  • Table 9 Global Autonomous Logistics Coordination Market Outlook, By Sensors & IoT Devices (2024-2032) ($MN)
  • Table 10 Global Autonomous Logistics Coordination Market Outlook, By Communication Modules (2024-2032) ($MN)
  • Table 11 Global Autonomous Logistics Coordination Market Outlook, By Control Systems (2024-2032) ($MN)
  • Table 12 Global Autonomous Logistics Coordination Market Outlook, By Technology (2024-2032) ($MN)
  • Table 13 Global Autonomous Logistics Coordination Market Outlook, By Artificial Intelligence (2024-2032) ($MN)
  • Table 14 Global Autonomous Logistics Coordination Market Outlook, By Machine Learning (2024-2032) ($MN)
  • Table 15 Global Autonomous Logistics Coordination Market Outlook, By Digital Twins (2024-2032) ($MN)
  • Table 16 Global Autonomous Logistics Coordination Market Outlook, By Cloud-Based Orchestration (2024-2032) ($MN)
  • Table 17 Global Autonomous Logistics Coordination Market Outlook, By Application (2024-2032) ($MN)
  • Table 18 Global Autonomous Logistics Coordination Market Outlook, By Warehousing (2024-2032) ($MN)
  • Table 19 Global Autonomous Logistics Coordination Market Outlook, By Last-Mile Delivery (2024-2032) ($MN)
  • Table 20 Global Autonomous Logistics Coordination Market Outlook, By Manufacturing Logistics (2024-2032) ($MN)
  • Table 21 Global Autonomous Logistics Coordination Market Outlook, By Cold Chain Logistics (2024-2032) ($MN)
  • Table 22 Global Autonomous Logistics Coordination Market Outlook, By End User (2024-2032) ($MN)
  • Table 23 Global Autonomous Logistics Coordination Market Outlook, By Logistics Service Providers (2024-2032) ($MN)
  • Table 24 Global Autonomous Logistics Coordination Market Outlook, By E-Commerce Companies (2024-2032) ($MN)
  • Table 25 Global Autonomous Logistics Coordination Market Outlook, By Manufacturers (2024-2032) ($MN)
  • Table 26 Global Autonomous Logistics Coordination Market Outlook, By Retailers (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.