Development Trends of Automatic Revolving Doors In Next 5 Years
From 2026 to 2030, automatic revolving doors will focus on in-depth intelligent upgrading, advanced green energy conservation, scenario-based customization and service-oriented transformation. The market scale will expand steadily, the industry concentration will improve, and at the same time, it will face challenges such as core technologies and cost control. The specific forecast is as follows.

I. Market Scale and Competitive Landscape
▪ Market Scale. The market size of automatic revolving doors in China is expected to grow from 4.87 billion yuan in 2026 to 7.23 billion yuan in 2030, with a compound annual growth rate (CAGR) of 10.4%. The global market size is projected to exceed 15 billion US dollars by 2030, with a CAGR ranging from 8.5% to 12%.
▪ Competitive Landscape. The CR5 (concentration ratio of the top 5 enterprises) of the industry is estimated to rise from 48.6% in 2025 to 56.3% in 2030. Enterprises with strong technical reserves will build a competitive moat through their system integration capabilities. The localization rate of core components will be further improved, expected to reach over 90% by 2030.
II. Core Technology Development Trends
1. In-depth Intelligent Upgrading
▪ Sensing and Control. Multi-sensor fusion technologies such as AI visual recognition and millimeter-wave radar will realize accurate passenger flow statistics and behavior analysis. The response time of the control system will be shortened from 0.15 seconds to less than 0.08 seconds, approaching the international advanced level.
▪ Internet Of Things (IOT) and Data Application. 90% of newly installed revolving doors will be equipped with data collection functions. They can connect to the building management system via IoT to achieve remote monitoring and predictive maintenance, reducing the downtime caused by faults by more than 30%.
▪ Digital Twin and Edge Computing. From 2028 to 2030, there will be in-depth integration of digital twin technology, which will build virtual models to simulate the operation status. Edge computing will realize local real-time decision-making, reducing data transmission latency and security risks.
2. Advanced Green Energy Conservation Technology
▪ Sealing and Thermal Insulation. High airtightness design will reduce the heat transfer coefficient to below 1.5W/(m²·K). Combined with Low-E glass and thermal insulation profiles, it can reduce indoor and outdoor heat exchange and cut down the air conditioning load by 20% to 30%.
▪ Low Power Consumption and Renewable Energy. High-efficiency servo motors and energy-saving control algorithms will be adopted, reducing the standby power consumption to below 1W. Some high-end products will integrate solar power supply modules to achieve energy self-sufficiency.
3. Modularization and Installation Innovation
Modular design will become the mainstream, shortening the on-site construction period by more than 40%, reducing installation costs and labor dependence, and facilitating later maintenance and component replacement.
III. Application Scenarios and Product Innovation
1. Scenario-based Customization
▪ Medical Field. Special revolving doors with antibacterial and easy-to-clean features will be launched, which have air isolation functions and are suitable for clean areas such as operating rooms and ICUs.
▪ Transportation Hubs. High-traffic revolving doors will increase the passing efficiency by 50%, and have emergency evacuation linkage functions, meeting the safety requirements of high-speed railway stations, airports and other places.
▪ Aging-friendly and Barrier-free Design. Features such as widened passages, soft start and stop, and voice control will become standard configurations, and aging-friendly renovation projects will create new growth points.
2. Human-machine and Machine-machine Interaction
It will support collaboration with intelligent equipment such as AGVs and robots, and realize the interaction of automatic revolving door opening and closing signals through standardized communication protocols, ensuring the safety and efficiency of passage.
IV. Business Model and Service Upgrading
1. Service-oriented Transformation. The industry will shift from a single hardware sales model to a comprehensive solution model of "hardware + SaaS services + data operation and maintenance". After-sales market services such as remote diagnosis and predictive maintenance will contribute more than 15% of the enterprises' revenue.
2. Value Extension. Through data analysis, it will provide customers with value-added services such as energy consumption optimization and passenger flow management, improving product added value and enhancing customer stickiness.
V. Challenges and Countermeasures
1. Core Technology Bottlenecks. Core sensors and control algorithms still rely on imports. It is necessary to increase R&D investment, break through technical barriers, and improve the localization rate.
2. Cost Control Pressure. Fluctuations in raw material prices will affect profit margins. Leading enterprises will reduce costs through supply chain integration and large-scale production, while small and medium-sized enterprises will face transformation pressure.
3. Imperfect Standard System. The lack of unified communication protocols requires promoting the formulation of industry standards, regulating market order, and promoting technological innovation and application.