Through in-depth industry analysis and extensive market research, Frost & Sullivan has released the 'Independent Market Study on the Global Port Autonomous Vehicle Industry'. Based on Frost & Sullivan's professional research and comprehensive analysis, this report details the current status, challenges, and future development trends of the global and Chinese port autonomous vehicle industries, providing precise business insights. Through this white paper, Frost & Sullivan aims to help industry participants seize important business opportunities in the port autonomous vehicle industry and guide the industry towards a more efficient, intelligent, and sustainable future.
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Analysis of the Global and Chinese Autonomous Vehicle Industries
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Implementation Status of Autonomous Vehicles
Autonomous driving, also known as driverless technology, is a cutting-edge technology that relies on computer and artificial intelligence technologies to complete complete, safe, and effective driving without human manipulation. Autonomous commercial vehicles have achieved commercialization earlier due to advantages such as enclosed environments, fixed routes, and slower speeds. Especially in B2B enterprises, due to considerations of cost and safety as well as lower price sensitivity, they are more willing to adopt this technology. National policy support has further accelerated this process. In China, the autonomous driving technology for commercial vehicles has reached Level 4 and is commercially operating in enclosed scenarios such as ports and logistics parks, demonstrating technical maturity and application potential. The autonomous driving technology for passenger cars is developing from Level 2 to Level 3.
Current Implementation Status of Autonomous Commercial Vehicles in Different Scenarios in China, 2024
Source: Frost & Sullivan Report
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Analysis of Autonomous Commercial Vehicle Implementation Scenarios
Port scenarios have more efficient application of autonomous driving technology due to convenient information collection, fewer interference factors, relatively simple routes, and relatively complete infrastructure. Therefore, they have achieved commercialization earlier compared to other scenarios. The success of this early commercialization not only proves the practical value of autonomous driving technology in ports but also provides valuable experience and confidence for the application of this technology in broader scenarios.
Analysis of Autonomous Commercial Vehicle Implementation Scenarios in China
Source: Frost & Sullivan Report
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Analysis of the Global and Chinese Port Autonomous Vehicle Industries
01
Pain Points of Traditional Port Industries
Port operations are under pressure due to high labor costs and labor shortages, and are introducing autonomous driving technology to reduce costs and improve efficiency. Autonomous driving also improves transportation efficiency, reduces delays and mistakes, and enhances safety by reducing driver physical exhaustion. In addition, autonomous driving technology using clean energy reduces environmental pollution and supports sustainable development. With the integration of the global economy, ports need to improve efficiency and service quality to enhance competitiveness.
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Analysis of Port Transportation Processes and Corresponding Automation Levels
Port transportation is a complex logistics system involving multiple links and equipment. The entire process includes the transportation and loading/unloading of external container trucks, the horizontal transportation of internal container trucks, and the vertical loading/unloading of port bridges. External container truck transportation is efficiently scheduled through the port management system. Although mainly relying on manual labor, GPS and some automation technologies have been introduced to improve transportation efficiency and safety. In-port yard bridges use automated cranes and real-time monitoring systems to automatically complete the vertical transportation of containers, ensuring operational efficiency and safety. Port horizontal transportation is optimized through intelligent systems, using AGVs and unmanned container trucks and other equipment to achieve automated and efficient safe transfer. The shore crane hoisting process applies automated lifting tools and high-precision control systems, and most ports achieve full automation or semi-automation operations, improving loading/unloading efficiency and safety.
Port Transportation Process Analysis Diagram
Source: Frost & Sullivan Report
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Definition and Introduction of Port Autonomous Vehicle Solutions
Compared with traditional port transportation solutions, autonomous vehicle solutions exhibit higher flexibility, adaptability, accuracy, and transportation efficiency, significantly reducing labor and operating costs of port operations and related logistics. Although traditional container trucks and automatic guided vehicles (AGVs) provide a certain degree of automation, they have limitations in flexibility and adaptability, as well as high requirements for infrastructure and high renovation costs. Port autonomous vehicle solutions include autonomous transport vehicles and one-stop services, which can achieve centimeter-level positioning accuracy and high automation levels without large-scale transformation of port infrastructure. Autonomous vehicles can navigate and locate autonomously, reducing human errors and delays, improving transportation efficiency and punctuality, while optimizing overall logistics operation efficiency and enhancing safety. This solution is suitable for the automation transformation of traditional terminals and the construction of new automated terminals, with higher energy efficiency and vehicle speed flexibility, and is an ideal choice for port logistics automation.
Comparison of Port Horizontal Transportation Solutions
Source: Frost & Sullivan Report
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Business Model Analysis of Port Autonomous Vehicle Solutions
The agency operation model allows port autonomous vehicle providers to cooperate with operators, reducing port cost pressure through pay-as-you-go billing and accelerating technology commercialization. The direct sales model allows port logistics fleets to purchase autonomous vehicles themselves, reducing driver costs. Providers profit through solutions and continuous services, optimizing revenue and promoting technology popularization. This dual model combining agency operation and direct sales is gradually becoming the mainstream of the market.
Business Model Analysis of Port Autonomous Vehicles
Source: Frost & Sullivan Report
05
Market Penetration Scale of Global Port Autonomous Vehicle Solutions
Driven by the dual business models, the market can be measured through both models. From 2023 to 2028, the total market scale calculated on an agency operation basis will steadily grow from 603.91 billion yuan to 989.74 billion yuan. The other market scale calculated on a direct sales basis will steadily grow from 361.63 billion yuan to 790 billion yuan.
Market Penetration Scale of Global Port Autonomous Vehicle Solutions
2023-2028E
Source: Frost & Sullivan Report
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Market Penetration Scale of Chinese Port Autonomous Vehicle Solutions
From 2023 to 2028, the market calculated on an agency operation basis will grow at an annual compound growth rate of 10.0%, with the total scale steadily increasing from 36.73 billion yuan to 59.02 billion yuan. The other market calculated on a direct sales basis will grow at an annual compound growth rate of 14.7%, with the total scale steadily increasing from 151.10 billion yuan to 299.80 billion yuan, the same as the global market. The market growth rate under the direct sales model is approximately nearly 1.5 times that of the agency operation model.
Market Penetration Scale of Chinese Port Autonomous Vehicle Solutions
2023-2028E
Source: Frost & Sullivan Report
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Driving and Development Factors for Chinese Port Autonomous Vehicle Solutions
Ports, due to their enclosed and controllable environment, have become ideal scenarios for the early implementation of autonomous driving technology, facilitating technical testing and optimization, effectively improving efficiency and reducing costs. With the maturity of intelligent driving technology, port operations are supported by technology, using advanced sensors and AI algorithms to enhance logistics speed and safety. National policy support, including financial subsidies and tax incentives, combined with strict industry standards and encouragement of international scientific research cooperation, further promotes the rapid development of port intelligence.
The strengthening of cross-border cooperation and the maturity of commercial models are promoting the development of port autonomous driving technology, facilitating global trade vitality through technical exchanges and resource sharing. The continuous update of autonomous driving technology improves operational efficiency. With the improvement of regulations and infrastructure, it indicates an innovative transformation of the transportation system. At the same time, with the maturity of technology and market expansion, equipment costs are decreasing. For example, the significant reduction in the tender price for Section C in Tianjin helps reduce enterprise operating costs and accelerate the intelligent transformation of ports.
