스마트 Agri-레일 시스템 시장 기회, 성장 촉진요인, 산업 동향 분석, 예측(2024-2032년)

The Global Smart Agri-Rail System Market was valued at USD 3.5 billion in 2023 and is expected to expand at 9.2% CAGR from 2024 to 2032. This growth is largely driven by increasing global populations and heightened concerns regarding food security. Smart agri-rail systems play a crucial role in strengthening the food supply chain and enhancing agricultural productivity, especially in areas experiencing rapid population growth or relying heavily on food imports. As farms increasingly adopt digitized, data-driven practices, the demand for sophisticated transportation solutions also rises. By integrating blockchain technology into the food supply chain, smart agri-rail systems improve coordination between harvesting schedules and logistics.

The market is categorized by rail type into freight railways, intermodal rail transport, and high-speed rail. In 2023, freight railways dominated the market, capturing over 65% of the share and anticipated to exceed USD 5 billion by 2032. Freight cars are now equipped with smart sensors and Internet of Things (IoT) devices that provide real-time monitoring of agricultural cargo. These systems track critical conditions such as temperature, humidity, and ethylene levels to ensure the optimal preservation of perishable goods. Advanced algorithms adjust storage conditions according to the specific requirements of various products, enhancing the shelf life of produce by modifying ventilation and cooling.

Additionally, these technologies facilitate real-time cargo tracking, enabling stakeholders to monitor shipments remotely and promptly address any issues. Automated systems for loading and unloading agricultural products are becoming more prevalent in freight railways. Robotic arms and conveyor systems, guided by artificial intelligence and computer vision, manage diverse cargo types with accuracy. These technologies adjust handling techniques based on the type of produce, thereby minimizing damage and reducing loading times.

Integrated smart weighing systems optimize weight distribution, improving safety and efficiency in operations. Automation enhances process speed, cuts labor costs, and reduces the potential for human error, resulting in more efficient agricultural freight operations. The smart agri-rail system market is also segmented by components, including hardware, software, and services. The hardware segment is projected to surpass USD 3.5 billion by 2032. Innovations in sensor technology are transforming smart agri-rail systems.

Robust sensors are designed to withstand harsh railway conditions, including high-precision vibration sensors for track health, soil moisture sensors for agricultural land, and multi-spectral sensors for crop health. The U.S. market for smart agri-rail systems constituted over 85% of revenue in 2023, with American companies leading the integration of autonomous vehicles for last-mile delivery from rail terminals to local distributors. Investments in AI-driven routing systems are underway to optimize delivery schedules based on real-time demand and traffic, addressing the complexities of efficiently transporting agricultural products while reducing labor costs and improving delivery times

Table of Contents

Chapter 1 Methodology & 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 & 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 Farmers & agricultural produces
  • 3.2.2 Logistics service providers
  • 3.2.3 Railway operators
  • 3.2.4 Technology integrators
  • 3.2.5 End users
• 3.3 Profit margin analysis
• 3.4 Technology differentiators
  • 3.4.1 Real-time tracking
  • 3.4.2 Big data analytics
  • 3.4.3 Automated loading/unloading
  • 3.4.4 Temperature-controlled transport
  • 3.4.5 Others
• 3.5 Key news & initiatives
• 3.6 Regulatory landscape
• 3.7 Impact forces
  • 3.7.1 Growth drivers
    • 3.7.1.1 Growing global concerns over food security
    • 3.7.1.2 Rising rail infrastructure investments
    • 3.7.1.3 Increasing adoption of smart farming practices
    • 3.7.1.4 Rising automation trends
  • 3.7.2 Industry pitfalls & challenges
    • 3.7.2.1 Technology integration complexities
    • 3.7.2.2 Data management & standardization issues
• 3.8 Growth potential analysis
• 3.9 Porter's analysis
• 3.10 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 & Forecast, By Component, 2021 - 2032 ($Bn)

• 5.1 Key trends
• 5.2 Hardware
• 5.3 Software
• 5.4 Services
  • 5.4.1 Professional services
  • 5.4.2 Managed services

Chapter 6 Market Estimates & Forecast, By Technology, 2021 - 2032 ($Bn)

• 6.1 Key trends
• 6.2 IoT sensors
• 6.3 GPS tracking
• 6.4 Data analytics
• 6.5 Automation systems
• 6.6 Others

Chapter 7 Market Estimates & Forecast, By Application, 2021 - 2032 ($Bn)

• 7.1 Key trends
• 7.2 Crop transportation
• 7.3 Livestock transportation
• 7.4 Agricultural machinery transportation
• 7.5 Others

Chapter 8 Market Estimates & Forecast, By Rail, 2021 - 2032 ($Bn)

• 8.1 Key trends
• 8.2 Freight railways
• 8.3 Intermodal rail transport
• 8.4 High-speed rail

Chapter 9 Market Estimates & Forecast, By End Use, 2021 - 2032 ($Bn)

• 9.1 Key trends
• 9.2 Farmers and agricultural cooperatives
• 9.3 Food processing companies
• 9.4 Retailers and distributors
• 9.5 Government agencies

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)

• 10.1 Key trends
• 10.2 North America
  • 10.2.1 U.S.
  • 10.2.2 Canada
• 10.3 Europe
  • 10.3.1 UK
  • 10.3.2 Germany
  • 10.3.3 France
  • 10.3.4 Spain
  • 10.3.5 Italy
  • 10.3.6 Russia
  • 10.3.7 Nordics
• 10.4 Asia Pacific
  • 10.4.1 China
  • 10.4.2 India
  • 10.4.3 Japan
  • 10.4.4 South Korea
  • 10.4.5 ANZ
  • 10.4.6 Southeast Asia
• 10.5 Latin America
  • 10.5.1 Brazil
  • 10.5.2 Mexico
  • 10.5.3 Argentina
• 10.6 MEA
  • 10.6.1 UAE
  • 10.6.2 South Africa
  • 10.6.3 Saudi Arabia

Chapter 11 Company Profiles

• 11.1 ABB
• 11.2 AeoLogic
• 11.3 Alstom
• 11.4 Canadian National Railway
• 11.5 Cisco
• 11.6 CRRC Corporation
• 11.7 DB Cargo
• 11.8 Emerson
• 11.9 Hitachi Rail
• 11.10 Honeywell
• 11.11 IBM
• 11.12 Knorr-Bremse AG
• 11.13 Nokia
• 11.14 Bosch
• 11.15 Rockwell Automation
• 11.16 SAP
• 11.17 Schneider Electric
• 11.18 Siemens
• 11.19 Toshiba
• 11.20 Wabtec
• 11.21 WSP Global