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市场调查报告书
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1916761

全球自主物流协调市场预测（至2032年）：依解决方案类型、组件、技术、应用、最终用户和地区划分

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个工作天内

价格

根据 Stratistics MRC 的研究，预计到 2025 年，全球自主物流协调市场规模将达到 29 亿美元，到 2032 年将达到 39 亿美元，预测期内复合年增长率为 4.3%。

自主物流协调融合了人工智慧 (AI)、机器人和物联网 (IoT) 技术，旨在以最少的人工干预简化供应链营运。这使得自动驾驶车辆、无人机和机器人仓库能够实现即时路线规划、动态库存管理以及高效的资源分配。这些系统利用机器学习和感测器数据，预测需求、优化交付计划并降低营运成本。最终建构出更快、更精准、更永续的物流网络，使全球分销在日益复杂的供应链环境中更有效率、更具韧性、更易于适应。

自动化仓库的日益普及

全球供应链中自主仓储解决方案的日益普及，正推动自主物流协调市场的成长。在电子商务交易量不断增长和对快速订单履行需求日益增加的推动下，物流业者正在加速采用自主移动机器人和自动化仓储系统。在这种环境下，一个能够即时管理任务分配、路径规划和资产利用率的先进协调平台至关重要。随着仓库转型为高吞吐量、低劳动效率的营运模式，自主协调技术正成为维持生产力和营运扩充性的关键组成部分。

物流系统互通性面临的挑战

物流系统间的互通性挑战是限制自主物流协调市场发展的一大因素。物流环境通常由不同供应商开发的异质软体平台、自动化硬体和旧有系统组成。在这种分散的生态系统中整合自主协调解决方案需要标准化的介面和复杂的系统协调。儘管技术不断进步，但如何在多供应商物流基础架构中实现无缝资料交换和同步运作仍然是影响实施进度的关键因素。

人工智慧驱动的即时舰队编配

人工智慧驱动的即时车队编配为自主物流协调市场带来了巨大的机会。先进的人工智慧演算法能够实现自主车队的动态任务调度、预测路径规划和拥塞规避。在物流网路日益复杂的背景下，智慧编配平台可以提高资产利用率、减少营运延误并增强服务可靠性。对人工智慧物流软体的投资不断成长，正在加速其应用，尤其是在高吞吐量配销中心和自动化枢纽，这使得即时车队编配成为强劲的成长催化剂。

自治网路中的网路安全风险

自主物流网路面临网路安全风险相关的市场威胁。自主协调平台高度依赖车辆、控制系统和云端基础设施之间持续的资料交换。这些网路中的漏洞会影响运作完整性和系统可靠性。随着物流自动化程度的提高，确保通讯协定和数位控制层的安全变得日益重要。市场参与企业正优先部署网路安全加固型架构，以支援安全可靠的自主物流运作。

新冠疫情的影响：

新冠疫情加速了物流和仓储营运自动化需求的成长。劳动力短缺、维持社交距离的要求以及供应链中断促使物流供应商部署自主系统以维持业务永续营运。这导致在疫情恢復期，对自主物流协调平台的投资大幅增加。对供应链韧性和自动化驱动效率的日益重视，支撑了市场的持续成长势头，并巩固了自主协调技术的长期重要性。

在预测期内，车队管理平台细分市场将占据最大的市场份额。

预计在预测期内，车队管理平台细分市场将占据最大的市场份额，这反映了其在协调自动驾驶车辆和机器人资产方面发挥的核心作用。这些平台可提供物流车队的即时视觉性、任务最佳化和效能分析。仓库和配销中心自动驾驶车辆的日益普及推动了对综合车队管理解决方案的需求，使该细分市场成为市场的主要收入驱动力。

在预测期内，软体平台细分市场将呈现最高的复合年增长率。

预计在预测期内，软体平台细分市场将实现最高成长率，这主要得益于基于云端和人工智慧的协调解决方案的日益普及。软体平台具备扩充性、快速更新和跨不同物流环境的柔软性。随着营运商将数据驱动决策和自适应自动化置于优先地位，对先进物流软体的需求持续增长，使该细分市场成为市场中成长最快的部分。

占比最大的地区：

由于电子商务、製造业和物流基础设施的快速成长，亚太地区预计将在预测期内占据最大的市场份额。中国、日本和韩国等国家正大力投资仓储自动化和智慧物流中心。大型分销网路中自动化技术的广泛应用，进一步巩固了该地区在自主物流协调解决方案领域的主导地位。

年复合成长率最高的地区：

在预测期内，北美预计将实现最高的复合年增长率，这主要得益于该地区对先进自动化和人工智慧驱动的物流技术的早期应用。强大的技术供应商网路以及对智慧仓库和履约中心的巨额投资，正在推动市场成长。零售、第三方物流和产业部门的需求持续增强，进一步巩固了该地区的扩张趋势。

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目录

第一章执行摘要

第二章 前言

  • 概括
  • 相关利益者
  • 调查范围
  • 调查方法
  • 研究材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球自主物流协调市场（依解决方案类型划分）

  • 车队管理平台
  • 仓库对帐软体
  • 路线优化引擎
  • 即时决策系统

6. 全球自主物流协调市场（依组件划分）

  • 软体平台
  • 感测器和物联网设备
  • 通讯模组
  • 控制系统

7. 全球自主物流协调市场（依技术划分）

  • 人工智慧
  • 机器学习
  • 数位双胞胎
  • 基于云端的编配

8. 全球自主物流协调市场（依应用领域划分）

  • 仓库管理
  • 最后一公里配送
  • 製造物流
  • 低温运输物流

9. 全球自主物流协调市场（以最终用户划分）

  • 物流服务供应商
  • EC公司
  • 製造商
  • 零售商

第十章 全球自主物流协调市场（依地区划分）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美国家
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 併购
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十二章 企业概况

  • 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.