물류 4.0 시장 - 기회, 성장 촉진요인, 산업 동향 분석과 예측(2024-2032년)

Global Logistics 4.0 Market will record a 13.6% CAGR from 2024 to 2032 due to the adoption of technologies like AI, IoT, and robotics, coupled with the demand for real-time tracking. AI bolsters decision-making and predictive analytics; IoT facilitates seamless connectivity and data exchange, and robotics enhances automation and operational efficiency.

The demand for real-time tracking propels the adoption of advanced monitoring systems, ensuring supply chain transparency and responsiveness. These technological advancements streamline logistics, boost accuracy, cut costs, and drive market growth. In June 2022, Renault Group and Atos launched ID@scale, a service aimed at gathering extensive manufacturing data. This initiative not only promotes Industry 4.0 adoption but also supports companies in their digital transformation towards modern industrial practices.

Such moves emphasize the importance of advanced data collection and analysis in driving digital change. They highlight a broader trend of harnessing big data and Industry 4.0 advancements to refine supply chains, enhance decision-making, and optimize manufacturing, pushing logistics systems forward.

The logistics 4.0 landscape is categorized by components, deployment modes, technologies, organizational sizes, transportation methods, end-user industries, and regions.

By 2032, the airways segment is poised for significant growth, thanks to its unmatched speed and efficiency in global shipping. Airlines provide swift delivery, vital for time-sensitive and high-value items. Technological advancements, like automation and real-time tracking, have streamlined and made air cargo operations more cost-effective. As the focus sharpens on digital transformation and innovation in air freight, the segment stands ready to cater to the rising demand for swift logistics in today's fast-paced global market.

The retail and e-commerce sector will hold a notable share of logistics 4.0 industry by 2032, driven by the boom in online shopping and the demand for swift, dependable delivery. The rise of digital retailing amplifies the need for efficient, tech-savvy logistics to manage high order volumes and ensure prompt fulfillment. Innovations like automated warehousing, AI-driven supply chain oversight, and advanced last-mile delivery are boosting logistics efficiency and scalability, fueling the segment's expansion.

By 2032, the Asia Pacific region is expected to maintain a significant stake in the logistics 4.0 market, thanks to its vibrant economic growth and vast manufacturing landscape. The swift embrace of cutting-edge technologies like AI, IoT, and automation in the region's logistics operations is not only streamlining supply chains but also trimming operational costs. Additionally, the thriving e-commerce landscape and rising cross-border trade amplify the demand for state-of-the-art logistics solutions. With major infrastructure investments and tech advancements, APAC cements its role as a key player in the logistics 4.0 arena.

Table of Contents

Chapter 1 Methodology and Scope

• 1.1 Research design
  • 1.1.1 Research approach
  • 1.1.2 Data collection methods
• 1.2 Base estimates and calculations
  • 1.2.1 Base year calculation
  • 1.2.2 Key trends for market estimates
• 1.3 Forecast model
• 1.4 Primary research and validation
  • 1.4.1 Primary sources
  • 1.4.2 Data mining sources
• 1.5 Market definitions

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis, 2021-2032

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Supplier landscape
  • 3.2.1 Sensor and device providers
  • 3.2.2 Connectivity and network providers
  • 3.2.3 Data analytics and software providers
  • 3.2.4 System integrators
  • 3.2.5 Logistics service providers
• 3.3 Profit margin analysis
• 3.4 Technology and innovation landscape
• 3.5 Patent analysis
• 3.6 Key news and initiatives
• 3.7 Regulatory landscape
• 3.8 Impact forces
  • 3.8.1 Growth drivers
    • 3.8.1.1 Expansion of E-commerce
    • 3.8.1.2 Advancement in IoT and connected devices
    • 3.8.1.3 Adoption of big data and analytics
    • 3.8.1.4 Integration of artificial intelligence (AI) and machine learning (ML)
• 3.9 Industry pitfalls and challenges
  • 3.9.1.1 Data privacy and security concerns
  • 3.9.1.2 Complexity in integration
• 3.10 Growth potential analysis
• 3.11 Porter's analysis
• 3.12 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Introduction
• 4.2 Company market share analysis
• 4.3 Competitive positioning matrix
• 4.4 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Technology, 2021-2032 ($Bn)

• 5.1 Key trends
• 5.2 Internet of things (IoT)
• 5.3 Big data analytics
• 5.4 Artificial intelligence (AI)
• 5.5 Robotics and automation
• 5.6 Autonomous vehicles
• 5.7 Blockchain technology
• 5.8 Others

Chapter 6 Market Estimate and Forecast, By Component, 2021-2032 ($Bn)

• 6.1 Key trends
• 6.2 Hardware
  • 6.2.1 Sensors and Actuators
  • 6.2.2 RFID and barcode scanners
  • 6.2.3 GPS devices
  • 6.2.4 Robotic systems
• 6.3 Software
  • 6.3.1 Fleet management systems (FMS)
  • 6.3.2 Warehouse management systems (WMS)
  • 6.3.3 Transportation management systems (TMS)
  • 6.3.4 Order management systems (OMS)
• 6.4 Services
  • 6.4.1 Consulting services
  • 6.4.2 System integration and deployment
  • 6.4.3 Maintenance and support

Chapter 7 Market Estimates and Forecast, By Deployment Mode, 2021-2032 ($Bn)

• 7.1 Key trends
• 7.2 Cloud-based
• 7.3 On-premises

Chapter 8 Market Estimates and Forecast, By Organization Size, 2021-2032 ($Bn)

• 8.1 Key trends
• 8.2 Large enterprises
• 8.3 Small and medium-sized enterprises (SMEs)

Chapter 9 Market Estimates and Forecast, By Transportation Mode, 2021-2032 ($Bn)

• 9.1 Key trends
• 9.2 Roadways
• 9.3 Railways
• 9.4 Airways
• 9.5 Waterways

Chapter 10 Market Estimates and Forecast, By End-User Industry, 2021-2032 ($Bn)

• 10.1 Key trends
• 10.2 Retail and E-commerce
• 10.3 Manufacturing
• 10.4 Healthcare
• 10.5 Automotive
• 10.6 Food and beverage
• 10.7 Energy and utilities
• 10.8 Aerospace and defense
• 10.9 Others

Chapter 11 Market Estimates and Forecast, By Region, 2021-2032 ($Bn)

• 11.1 Key trends
• 11.2 North America
  • 11.2.1 U.S.
  • 11.2.2 Canada
• 11.3 Europe
  • 11.3.1 UK
  • 11.3.2 Germany
  • 11.3.3 France
  • 11.3.4 Italy
  • 11.3.5 Spain
  • 11.3.6 Russia
  • 11.3.7 Nordics
  • 11.3.8 Rest of Europe
• 11.4 Asia Pacific
  • 11.4.1 China
  • 11.4.2 India
  • 11.4.3 Japan
  • 11.4.4 South Korea
  • 11.4.5 ANZ
  • 11.4.6 Southeast Asia
  • 11.4.7 Rest of Asia Pacific
• 11.5 Latin America
  • 11.5.1 Brazil
  • 11.5.2 Mexico
  • 11.5.3 Argentina
  • 11.5.4 Rest of Latin America
• 11.6 MEA
  • 11.6.1 South Africa
  • 11.6.2 Saudi Arabia
  • 11.6.3 UAE
  • 11.6.4 Rest of MEA

Chapter 12 Company Profiles

• 12.1 DHL Supply Chain
• 12.2 Kuehne + Nagel
• 12.3 XPO Logistics
• 12.4 C.H. Robinson
• 12.5 FedEx Corporation
• 12.6 United Parcel Service (UPS)
• 12.7 DB Schenker
• 12.8 Nippon Express
• 12.9 GEFCO
• 12.10 Expeditors International
• 12.11 J.B. Hunt Transport Services
• 12.12 Ryder System
• 12.13 DSV Panalpina
• 12.14 TNT Express
• 12.15 CEVA Logistics
• 12.16 Agility Logistics
• 12.17 Sinotrans Limited
• 12.18 Yusen Logistics
• 12.19 Geodis
• 12.20 Kintetsu World Express