시장보고서
상품코드
1947433

스마트 물류 시장 : 컴포넌트별, 기술별, 용도별, 연결성별 예측(-2036년)

Smart Logistics Market by Component, Technology, Application, and Connectivity - Global Forecast to 2036

발행일: | 리서치사: Meticulous Research | 페이지 정보: 영문 218 Pages | 배송안내 : 5-7일 (영업일 기준)

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계의 스마트 물류 시장은 예측 기간(2026-2036년)에 CAGR 21.2%로 성장할 것으로 예측되며, 2026년 460억 달러에서 2036년에는 약 3,137억 1,000만 달러에 이를 것으로 전망되고 있습니다.

이 보고서는 5개 주요 지역 세계 스마트 물류 시장에 대해 현재 시장 동향, 시장 규모, 최근 동향, 2036년까지의 예측에 중점을 두고 상세한 분석을 제공합니다. 광범위한 2차 조사와 1차 조사, 시장 시나리오의 상세한 분석을 거쳐 주요 업계의 촉진요인, 억제요인, 기회, 과제의 영향 분석을 실시했습니다. 스마트 물류 시장의 성장을 이끌어내는 주요 요인으로는 공급망의 탄력성에 대한 주력, 전자상거래 및 옴니채널 채우기 확대, 5G 인프라 성장 등이 있습니다. 또한 AI 구동형 오케스트레이션의 진보, 자율이동 로봇의 혁신, 지속가능한 물류 솔루션, 5G 통합, 자율주행 차량의 확대가 스마트 물류 시장에서 사업을 전개하는 기업에게 큰 성장 기회를 창출할 것으로 예측됩니다.

시장 세분화

목차

제1장 서론

제2장 주요 요약

제3장 시장 개요

  • 시장 역학
    • 성장 촉진요인
    • 성장 억제요인
    • 기회
    • 과제
  • AI 및 5G가 스마트 물류에 미치는 영향
  • 규제 상황
  • Porter's Five Forces 분석

제4장 세계의 스마트 물류 시장 : 컴포넌트별

  • 하드웨어
    • 자율 이동 로봇(AMR)
    • 자동 창고 시스템(AS/RS)
    • 센서 및 RFID 태그
    • 인프라 및 네트워크 장비
  • 소프트웨어
    • 창고 관리 시스템(WMS)
    • 운송 관리 시스템(TMS)
    • AI를 활용한 공급망 분석
    • 재고 관리 소프트웨어
  • 서비스
    • 컨설팅 및 전략
    • 도입 및 통합
    • 서포트 및 보수

제5장 세계의 스마트 물류 시장 : 기술별

  • 인공지능(AI) 및 머신러닝
  • 사물인터넷(IoT)
  • 블록체인
  • 로보틱스 및 자동화
  • 클라우드 컴퓨팅 및 빅 데이터 분석

제6장 세계의 스마트 물류 시장 : 용도별

  • 창고 관리
  • 수송 관리
  • 재고 관리 및 추적
  • 마지막 마일 배송 최적화
  • 플릿 관리
  • 공급망의 시각화 및 조정

제7장 세계의 스마트 물류 시장 : 연결성별

  • 5G/4G
  • LPWAN(NB-IoT, LoRaWAN)
  • 위성 IoT
  • 기타(Wi-Fi 6/7, Bluetooth 5.x)

제8장 세계의 스마트 물류 시장 : 지역별

  • 북미
    • 미국
    • 캐나다
  • 유럽
    • 독일
    • 프랑스
    • 영국
    • 이탈리아
    • 스페인
    • 네덜란드
    • 기타 유럽
  • 아시아태평양
    • 중국
    • 인도
    • 일본
    • 한국
    • 동남아시아
    • 호주
    • 기타 아시아태평양
  • 라틴아메리카
    • 브라질
    • 멕시코
    • 기타 라틴아메리카
  • 중동 및 아프리카
    • 사우디아라비아
    • 아랍에미리트(UAE)
    • 남아프리카
    • 기타 중동 및 아프리카

제9장 경쟁 구도

  • 주요 성장 전략
  • 경쟁 벤치마킹
  • 경쟁 대시보드
    • 업계 리더
    • 시장의 차별화 요인
    • 선구 기업
    • 신흥 기업
  • 주요 기업 시장 랭킹 및 포지셔닝 분석(2025년)

제10장 기업 프로파일(제조업자 및 제공업체)

  • 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., Ltd.

제11장 부록

AJY 26.03.05

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
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