With the "new quality productivity" officially established as the core engine to drive high-quality development, the construction industry is experiencing a profound transformation in industrial structure. The accelerated integration of smart construction, green construction, digital design, and computing power infrastructure is upgrading "building intelligence" from supporting systems to the core foundation of urban operation.
At a critical juncture as the "14th Five-Year Plan" is about to be completed and the "15th Five-Year Plan" is on the horizon, the building intelligence industry has welcomed a new window period of policy and technology resonance. Its role has shifted from enhancing the energy efficiency and management level of individual buildings to supporting the key pillars of the urban digital foundation and the digital transformation of industries.
From "Smart Control" to "Smart Computing Engine": The Construction Industry Enters a New Stage of Powering by Computing Capability
The digital transformation of the construction industry is evolving from "informationalization" to "intellectualization" and then to "intelligent computing". In this evolution, the intellectualization of architecture is no longer just the integration of low-voltage wiring or control systems, but is centered on computing power, algorithms, and data collaboration, promoting architecture to become a spatial entity with "computing power".
In the past, building intelligence focused mainly on the perception and control layers, such as smart lighting, environmental regulation, and security monitoring. Today, with the deep penetration of AI and edge computing, buildings are no longer just "managed objects," but have become intelligent life forms that cansense, analyze, decide, and learn.
AI algorithms can regulate equipment operation in real-time based on human flow heat maps, energy consumption data, and environmental parameters. With the deployment of computing power nodes at the building edge, buildings gain stronger local response and optimization capabilities. The integration of digital twins with BIM and CIM platforms enables data-driven design, construction, and operation across the entire life cycle. This deep integration makes buildings "computing nodes" of smart cities and an important part of the new infrastructure in the digital economy era.
Policy-driven: Smart construction and green construction as a dual-wheel collaboration
The Ministry of Housing and Urban-Rural Development has repeatedly proposed in policy documents and meetings that intelligent construction and green construction should be the dual engines to promote the high-quality development of the construction industry. This is not only the direction for the upgrading of the construction industry, but also the only way to implement the "double carbon" goals and promote the sustainable development of cities.
Smart construction represents the "new speed" and "new quality" of the construction industry. It achieves precise design, industrialized production, and digital operation and maintenance through autonomous and controllable BIM, AI design platforms, and robotic construction equipment. Green construction, on the other hand, represents the "temperature" and "color" of the construction industry. Through energy-saving standards, green building materials, and whole-process carbon management, it forms a low-carbon closed loop from the design source to the use stage.
The deep integration of the two makes intelligent buildings an important carrier to connect the digital economy with the green economy. Whether it is the energy consumption optimization of smart parks or the cluster energy management of urban building groups, intelligent systems are becoming the key support to achieve the "double carbon" goal.
Technological Leapfrogging: All-Optical Interconnection and AI-Driven Reconstruction of the Underlying Logic of Architecture
The architectural intelligence in the AI era is first and foremost a revolution in underlying technology. In the system architecture of smart buildings, integrated wiring and data interconnection are leaping from "infrastructure" to "neural network".
The emergence of new technologies such as fiber to the desktop (FTTD), 400G/800G interconnection, and single-pair Ethernet (SPE) has enabled buildings to have higher data transmission bandwidth and lower energy consumption; at the same time, the deployment of AIoT and edge computing nodes has made it possible for data to no longer be processed remotely, but to be "computed and feedback instantly" at the local level of the building.
From "Building Automation (BA)" to "Smart Building", the connotation of building intelligence is being redefined. Buildings are no longer just "data collection terminals" for operating data, but have becomeDistributed computing power nodes of the urban smart computing network. In the future, whoever masters the scheduling of computing power and the capabilities of the data middle platform will have the core competitiveness of the smart building industry.
Market evolution: trillion-level space reshaping, industrial pattern accelerating reshuffle
According to the forecast of many research institutions, by 2030, China's smart building market size is expected to break through the trillion yuan, and the year-on-year growth rate will maintain a double-digit range, and the industry will shift from construction-type to technology service and operation service-type.
This change is mainly driven by the joint promotion of three forces:
Policy End: The national "Double Carbon" strategy (carbon peak, carbon neutrality), the requirements for the coordinated development of intelligent construction and industrialization of architecture in the "14th Five-Year Plan", are the key forces to promote the greening and digital transformation of the industry;
Technical end: New technologies such as artificial intelligence (AI), the Internet of Things, big data, edge computing, etc., are deeply integrated with buildings, promoting the evolution of buildings from "passive energy saving" to "active wisdom", and from single system control to overall intelligent management;
Demand side: Smart hospitals, smart campuses, green factories, smart communities and other multi-scenarios are accelerating, significantly increasing the reliance on intelligent systems.
Market structure is also quietly restructuring. Traditional integrators are forming a "cross-border competition and cooperation" pattern with ICT manufacturers, cloud service providers, and AI platform providers. Building intelligence is moving from "设备 integration" to "data-driven service economy". This means that buildings are no longer static assets, but can be calculated, optimized, and operated as "smart ecological entities".
Ecological Co-construction: Industrial Synergy and Knowledge Co-creation in the AI Era
As construction moves from "building" to "计算", industrial synergy has become a key variable determining industry development. Between architectural design, communication wiring, energy management, AI algorithms, and cloud service providers, an unprecedented integration ecosystem is being formed.
To promote in-depth industry exchanges and collaborative innovation, theCIBIS 2025 Shanghai Station, sponsored byQianjia Zhipin and co-organized by Shanghai Intelligent Building Construction Association Digital Building Branch , will be held on November 20, 2025 at
This summit will focus onAI and architecture dual carbon integration, DIB digital intelligent building system construction, 400G/800G all-optical interconnection, single pair Ethernet technology, smart hospitals and energy-saving lighting solutionsand other hot topics. Experts from companies such as CommScope, Detwiler, Haier Smart Building, Tongfang Shares, Potevio, Hisense, Yilan Technology, GVS Sound Intelligence, and West Cloud Data will bring full-link technology content covering design, operation and maintenance, energy saving, wiring, and AI applications, and discuss the market pattern and innovation path of building intelligence in the "15th Five-Year Plan" period.
