智慧物流市场：依组件、技术、应用和连接方式划分－全球预测至2036年

全球智慧物流市场预计将以21.2%的复合年增长率成长，从2026年的460亿美元成长到2036年的约3,137.1亿美元。

本报告对全球五大主要区域的智慧物流市场进行了详细分析，重点关注当前市场趋势、市场规模、近期发展以及至2036年的预测。透过广泛的二级和一级研究以及对市场现状的深入分析，我们分析了关键产业驱动因素、限制因素、机会和挑战的影响。推动智慧物流市场成长的关键因素包括：注重供应链韧性、电子商务和全通路履约的扩张以及5G基础设施的成长。 此外，人工智慧驱动的协调技术的进步、自主移动机器人的创新、永续物流解决方案、5G 整合以及自动驾驶车辆的普及，预计将为智慧物流市场的参与者创造巨大的成长机会。

市场区隔

目录

第一章：引言

第二章：摘要整理

第三章：市场概览

• 市场动态
  • 驱动因素
  • 限制因素
  • 机遇
  • 挑战
• 人工智慧和 5G 对智慧物流的影响
• 监理环境
• 波特五力分析

第四章 全球智慧物流:依组件划分的市场

• 硬体
  • 自主移动机器人 (AMR)
  • 自动化仓库/零售系统 (AS/RS)
  • 感测器和 RFID 标籤
  • 基础设施与网路设备
• 软体
  • 仓库管理系统 (WMS)
  • 运输管理系统 (TMS)
  • 人工智慧驱动的供应链分析
  • 库存管理软体
• 服务
  • 咨询与策略
  • 实施和整合
  • 支援与维护

第五章：全球智慧物流市场（依技术划分）

• 人工智慧 (AI) 与机器学习
• 物联网（物联网）
• 区块链
• 机器人与自动化
• 云端运算与大数据分析

第六章 全球智慧物流市场（依应用领域划分）

• 仓储管理
• 运输管理
• 库存管理与追踪
• 最后一公里配送优化
• 车队管理
• 供应链视觉化与协调

第七章 全球智慧物流市场（以连结方式划分）

• 5G/4G
• 低功耗广域网路（NB-IoT、LoRaWAN）
• 卫星物联网
• 其他（Wi-Fi 6/7、蓝牙 5.x）

第八章 全球智慧物流市场（依地区划分）

• 北美美洲
  • 美国
  • 加拿大
• 欧洲
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙
  • 荷兰
  • 欧洲其他地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 东南亚
  • 澳大利亚
  • 亚太其他地区
• 拉丁美洲
  • 巴西
  • 墨西哥 拉丁美洲其他地区
• 中东和非洲
  • 沙乌地阿拉伯
  • 阿拉伯联合大公国
  • 南非
  • 中东和非洲其他地区

第九章竞争格局

• 关键成长策略
• 竞争标竿分析
• 竞争概览
  • 行业领导者
  • 市场差异化因素
  • 先锋企业
  • 新兴企业
• 主要企业市场排名/定位分析（2025 年）

第十章：公司简介（製造商和供应商）

• SAP SE
• Oracle Corporation
• Honeywell International Inc. (Intelligrated)
• Zebra Technologies Corporation
• Cisco Systems, Inc.
• IBM Corporation
• Microsoft Corporation
• Intel Corporation
• ABB Ltd.
• Fanuc Corporation
• KUKA AG
• Daifuku Co.,有限公司

第十一章：附录

Smart Logistics Market by Component (Hardware, Software, Services), Technology (AI & Machine Learning, IoT, Blockchain, Robotics & Automation), Application (Warehouse Management, Transportation Management, Inventory Management, Last-Mile Delivery), and Connectivity (5G, LPWAN, Satellite IoT) - Global Forecast to 2036

According to the research report titled, 'Smart Logistics Market by Component (Hardware, Software, Services), Technology (AI & Machine Learning, IoT, Blockchain, Robotics & Automation), Application (Warehouse Management, Transportation Management, Inventory Management, Last-Mile Delivery), and Connectivity (5G, LPWAN, Satellite IoT) - Global Forecast to 2036,' the global smart logistics market is expected to reach approximately USD 313.71 billion by 2036 from USD 46.00 billion in 2026, at a CAGR of 21.2% during the forecast period (2026-2036).

The report provides an in-depth analysis of the global smart logistics market across five major regions, emphasizing the current market trends, market sizes, recent developments, and forecasts till 2036. Following extensive secondary and primary research and an in-depth analysis of the market scenario, the report conducts the impact analysis of the key industry drivers, restraints, opportunities, and challenges. The major factors driving the growth of the smart logistics market include supply chain resilience focus, e-commerce and omnichannel fulfillment expansion, and 5G infrastructure growth. Additionally, AI-driven orchestration advancement, autonomous mobile robots innovation, sustainable logistics solutions, 5G integration, and autonomous vehicle expansion are expected to create significant growth opportunities for players operating in the smart logistics market.

Market Segmentation

The smart logistics market is segmented based on component, technology, application, connectivity, and geography. The study further evaluates the competitive landscape and provides country-level market analysis to assess the adoption of digital logistics solutions across various end-user industries.

Based on Component

Based on component, the software segment is expected to account for the largest share of the smart logistics market in 2026. The widespread deployment of warehouse management systems (WMS), transportation management systems (TMS), and real-time tracking platforms is driving the adoption of software-based logistics solutions across distribution centers and fulfillment networks. These platforms enable route optimization, inventory tracking, and demand forecasting through AI-driven analytics.

The services segment is projected to register a robust growth rate during the forecast period, driven by the increasing demand for implementation, integration, and cybersecurity services required for large-scale digital transformation initiatives in logistics operations. Organizations are increasingly seeking consulting and technical support services to integrate smart logistics platforms with existing enterprise resource planning (ERP) and supply chain management systems.

Based on Technology

Based on technology, the artificial intelligence (AI) and machine learning segment is expected to hold the largest share of the overall market in 2026. The ability of AI-enabled platforms to process large volumes of logistics data and generate predictive insights for demand forecasting, route optimization, and warehouse operations is supporting the adoption of these technologies across logistics networks.

The Internet of Things (IoT) segment is projected to witness steady growth during the forecast period, driven by the increasing deployment of connected sensors for real-time asset tracking and shipment monitoring. Other technologies, including blockchain and robotics & automation, are also being adopted to improve transaction transparency and enhance operational efficiency in warehouse and transportation management processes.

Based on Application

Based on application, the warehouse management segment is expected to account for the largest share of the smart logistics market in 2026. The growing adoption of automated storage and retrieval systems and robotics-enabled fulfillment centers is driving the demand for smart warehouse management solutions.

The transportation management segment is projected to register the fastest growth during the forecast period, supported by the increasing complexity of multi-modal logistics networks and the growing need for real-time shipment visibility and route optimization across last-mile delivery operations.

Geographic Analysis

The geographic analysis of the smart logistics market provides qualitative and quantitative insights across five major regions, namely North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. Asia-Pacific is expected to account for the largest share of the global smart logistics market in 2026, driven by the rapid adoption of digital supply chain technologies and increasing investments in warehouse automation across countries such as China, India, and Southeast Asia.

North America is projected to witness steady growth during the forecast period, supported by the presence of advanced technology solution providers and increasing deployment of automation technologies across e-commerce and third-party logistics networks. Europe is also emerging as a key regional market, driven by the growing focus on sustainable logistics infrastructure and the adoption of intelligent transportation management systems.

Key Players

The global smart logistics market is characterized by the presence of several technology providers offering digital supply chain and automation solutions across warehousing, transportation, and inventory management operations. Key players operating in this market include SAP SE, Oracle Corporation, Honeywell International Inc. (Intelligrated), Zebra Technologies Corporation, Cisco Systems, Inc., IBM Corporation, Microsoft Corporation, Intel Corporation, ABB Ltd., FANUC Corporation, KUKA AG, and Daifuku Co., Ltd., among others. These companies focus on enhancing their logistics platforms through the integration of artificial intelligence (AI), Internet of Things (IoT), robotics, and advanced analytics technologies to improve operational visibility, route optimization, and warehouse automation across global supply chain networks.

Key Questions Answered in the Report-

• What is the current revenue generated by the smart logistics market globally?
• At what rate is the global smart logistics market demand projected to grow for the next 7-10 years?
• What are the historical market sizes and growth rates of the global smart logistics market?
• What are the major factors impacting the growth of this market at the regional and country levels? What are the major opportunities for existing players and new entrants in the market?
• Which segments in terms of component, technology, application, and connectivity are expected to create major traction for the service providers in this market?
• What are the key geographical trends in this market? Which regions/countries are expected to offer significant growth opportunities for the companies operating in the global smart logistics market?
• Who are the major players in the global smart logistics market? What are their specific service offerings in this market?
• What are the recent strategic developments in the global smart logistics market? What are the impacts of these strategic developments on the market?

Scope of the Report:

Smart Logistics Market Assessment -- by Component

• Hardware
• Software
• Services

Smart Logistics Market Assessment -- by Technology

• AI & Machine Learning
• IoT
• Blockchain
• Robotics & Automation

Smart Logistics Market Assessment -- by Application

• Warehouse Management
• Transportation Management
• Inventory Management
• Last-Mile Delivery

Smart Logistics Market Assessment -- by Connectivity

• 5G
• LPWAN
• Satellite IoT

Smart Logistics Market Assessment -- by Geography

• North America
• U.S.
• Canada
• Europe
• Germany
• France
• UK
• Italy
• Spain
• Rest of Europe
• Asia-Pacific
• China
• India
• Japan
• South Korea
• Southeast Asia
• Rest of Asia-Pacific
• Latin America
• Brazil
• Mexico
• Argentina
• Rest of Latin America
• Middle East & Africa
• Saudi Arabia
• UAE
• South Africa
• Rest of Middle East & Africa

TABLE OF CONTENTS

1. Introduction

• 1.1. Market Definition
• 1.2. Market Scope
• 1.3. Research Methodology
• 1.4. Assumptions & Limitations

2. Executive Summary

3. Market Overview

• 3.1. Introduction
• 3.2. Market Dynamics
  • 3.2.1. Drivers
  • 3.2.2. Restraints
  • 3.2.3. Opportunities
  • 3.2.4. Challenges
• 3.3. Impact of AI and 5G on Smart Logistics
• 3.4. Regulatory Landscape
• 3.5. Porter's Five Forces Analysis

4. Global Smart Logistics Market, by Component

• 4.1. Introduction
• 4.2. Hardware
  • 4.2.1. Autonomous Mobile Robots (AMRs)
  • 4.2.2. Automated Storage and Retrieval Systems (AS/RS)
  • 4.2.3. Sensors & RFID Tags
  • 4.2.4. Infrastructure & Networking Equipment
• 4.3. Software
  • 4.3.1. Warehouse Management Systems (WMS)
  • 4.3.2. Transportation Management Systems (TMS)
  • 4.3.3. AI-powered Supply Chain Analytics
  • 4.3.4. Inventory Management Software
• 4.4. Services
  • 4.4.1. Consulting & Strategy
  • 4.4.2. Implementation & Integration
  • 4.4.3. Support & Maintenance

5. Global Smart Logistics Market, by Technology

• 5.1. Introduction
• 5.2. Artificial Intelligence (AI) & Machine Learning
• 5.3. Internet of Things (IoT)
• 5.4. Blockchain
• 5.5. Robotics & Automation
• 5.6. Cloud Computing & Big Data Analytics

6. Global Smart Logistics Market, by Application

• 6.1. Introduction
• 6.2. Warehouse Management
• 6.3. Transportation Management
• 6.4. Inventory Management & Tracking
• 6.5. Last-Mile Delivery Optimization
• 6.6. Fleet Management
• 6.7. Supply Chain Visibility & Orchestration

7. Global Smart Logistics Market, by Connectivity

• 7.1. Introduction
• 7.2. 5G/4G
• 7.3. LPWAN (NB-IoT, LoRaWAN)
• 7.4. Satellite IoT
• 7.5. Others (Wi-Fi 6/7, Bluetooth 5.x)

8. Global Smart Logistics Market, by Region

• 8.1. Introduction
• 8.2. North America
  • 8.2.1. U.S.
  • 8.2.2. Canada
• 8.3. Europe
  • 8.3.1. Germany
  • 8.3.2. France
  • 8.3.3. U.K.
  • 8.3.4. Italy
  • 8.3.5. Spain
  • 8.3.6. Netherlands
  • 8.3.7. Rest of Europe
• 8.4. Asia-Pacific
  • 8.4.1. China
  • 8.4.2. India
  • 8.4.3. Japan
  • 8.4.4. South Korea
  • 8.4.5. Southeast Asia
  • 8.4.6. Australia
  • 8.4.7. Rest of Asia-Pacific
• 8.5. Latin America
  • 8.5.1. Brazil
  • 8.5.2. Mexico
  • 8.5.3. Rest of Latin America
• 8.6. Middle East & Africa
  • 8.6.1. Saudi Arabia
  • 8.6.2. UAE
  • 8.6.3. South Africa
  • 8.6.4. Rest of Middle East & Africa

9. Competitive Landscape

• 9.1. Overview
• 9.2. Key Growth Strategies
• 9.3. Competitive Benchmarking
• 9.4. Competitive Dashboard
  • 9.4.1. Industry Leaders
  • 9.4.2. Market Differentiators
  • 9.4.3. Vanguards
  • 9.4.4. Emerging Companies
• 9.5. Market Ranking/Positioning Analysis of Key Players, 2025

10. Company Profiles (Manufacturers & Providers)

• 10.1. SAP SE
• 10.2. Oracle Corporation
• 10.3. Honeywell International Inc. (Intelligrated)
• 10.4. Zebra Technologies Corporation
• 10.5. Cisco Systems, Inc.
• 10.6. IBM Corporation
• 10.7. Microsoft Corporation
• 10.8. Intel Corporation
• 10.9. ABB Ltd.
• 10.10. Fanuc Corporation
• 10.11. KUKA AG
• 10.12. Daifuku Co., Ltd.

11. Appendix

• 11.1. Questionnaire
• 11.2. Related Reports