Implementing the national strategy for high-quality "AI + Civil Aviation" development
Deep AI integration across civil aviation safety, operations, travel and logistics
Serving the low-altitude economy — a national emerging pillar industry
Jan–Sep 2026 CAAC transport output · CAAC monthly data · updated monthly
AI empowering high-quality civil aviation · the low-altitude economy, a national emerging pillar industry · large-model training for civil aviation
Centered on six domains — safety, operations, travel, logistics, regulation, and planning & construction — we advance deep integration of AI into civil aviation, guided by 42 application scenarios for large-scale deployment.
Designated a national emerging pillar industry in 2026, with 3.8M+ registered drones and a ¥1.5 trillion market. Focused on eVTOL, unmanned aircraft, low-altitude services and smart regulation.
With leading LLM partners we run full-chain industry model training — scenario-based custom training, fine-tuning, evaluation and secure private deployment — turning general LLMs into models that truly understand civil aviation.
A systematic map of "AI + Civil Aviation" scenarios, answering where AI applies and what it solves
Flight safety & maintenance, airport operations & security, ATC risk alerting & emergency response, low-altitude safety
Flight scheduling & dispatch, airport support & resources, ATC command & capacity, multi-party coordination
Seamless journeys, personalized services, smart customer service, recommendations & trip planning
Digital logistics information, efficient air cargo operations, reduced-crew & autonomous support
Safety oversight, market regulation and digital government for stronger industry governance
Intelligent decision-making, precise control and dynamic optimization for airport siting and route networks
From smart customer service to core operations, AI is reshaping every link of the civil aviation chain
21 TravelSky achievements selected as typical airport AI application cases
Full-stack DeepSeek deployment fusing 18 types of heterogeneous data
10 smart aviation innovation scenarios selected as national cases
"Qianrang" — the first vertical LLM for civil aviation
From national strategy to industry implementation, the AI + civil aviation roadmap is taking shape
Phased goals and practical measures across technology, industry, consumption, livelihood, governance and international cooperation.
Jointly issued by the Ministry of Transport, NDRC, MIIT, National Data Administration, railway, CAAC and postal authorities.
CAAC Doc. [2025] No. 24 — top-level design and implementation plan for aviation AI.
Classified airspace management enters law; differentiated airworthiness standards set for drones and eVTOL.