South Korea AI-Driven Smart Airport Infrastructure Market to Reach USD 198 Million by 2032, Growing at a CAGR of 12.44% During 2026–2032

The South Korea AI-Driven Smart Airport Infrastructure Market stood at around USD 78 million in 2025 and is projected to grow from USD 98 million in 2026 to USD 198 million by 2032, exhibiting a CAGR of 12.44% during the forecast period. The market is witnessing strong growth as rising passenger traffic, airport digitalization, and government-backed modernization initiatives accelerate the adoption of AI-powered airport technologies. Korea Airports Corporation's nationwide AI transformation master plan covering all 14 domestic airports, along with the expansion of AI-enabled passenger processing and airport automation, is further supporting market growth.

Another significant trend shaping the market is the expansion of AI-based digital twin technology for airport operations. Airport authorities are increasingly implementing digital twin platforms to support infrastructure management, predictive maintenance, operational planning, and real-time decision-making. Continued adoption of AI-powered digital twin solutions across major airport projects is expected to improve operational efficiency while strengthening long-term demand for intelligent airport infrastructure.

South Korea continues to strengthen its leadership in AI-driven airport modernization through sustained government investments, nationwide digital transformation initiatives, and expanding deployment of intelligent airport technologies. Continued adoption of AI-powered security systems, digital twin platforms, and automated passenger processing solutions is expected to reinforce long-term market growth, further states the research report, "South Korea AI-Driven Smart Airport Infrastructure Market Analysis, 2026.”

South Korea AI-Driven Smart Airport Infrastructure Market Highlights

The South Korea AI-driven smart airport infrastructure market stood at around USD 78 million in 2025 and is projected to grow from USD 98 million in 2026 to USD 198 million by 2032.
The market is projected to register a CAGR of 12.44% during 2026–2032, driven by increasing passenger traffic, government-led airport modernization, and expanding adoption of AI-enabled airport technologies.
By component, hardware accounted for nearly 46% of the market in 2026, supported by significant investments in AI-enabled screening systems, biometric infrastructure, smart cameras, and airport IoT solutions.
By end user, airport authorities & operators held approximately 55% of the market in 2026, driven by their leading role in procuring, integrating, and managing AI-powered airport infrastructure.
Expansion of AI-based digital twin platforms, biometric passenger processing, and integrated AI security solutions is creating significant long-term opportunities for smart airport infrastructure providers across South Korea.
The market is moderately consolidated, with Honeywell International Inc., Siemens AG, LG CNS Co., Ltd., Samsung SDS Co., Ltd., and Thales S.A. collectively accounting for approximately 46% of the market. Their competitive position is supported by AI integration expertise, end-to-end smart airport solutions, and participation in government-backed airport modernization projects.

South Korea AI-Driven Smart Airport Infrastructure Market Segmentation

By Component
- Hardware
  - Biometric Scanners & Smart Cameras
  - IoT Sensors & Monitoring Devices
  - Edge Computing Devices
  - Servers & Data Storage Systems
  - Networking & Communication Infrastructure
- Software
  - AI & Machine Learning Platforms
  - Airport Operations Management Software
  - AI Analytics & Decision Support Software
  - Digital Twin Software
- Services
  - Consulting & Advisory Services
  - System Integration & Deployment Services
  - Maintenance & Support Services
  - Managed Services
By Technology
- Artificial Intelligence & Machine Learning
- Computer Vision
- Biometric Recognition
- Natural Language Processing
- Internet of Things (IoT)
- Cloud Computing
- Edge Computing
- Digital Twin Technology
- Robotic Process Automation
By Application
- Passenger Processing & Experience Management
- Security & Surveillance
- Baggage Handling & Logistics
- Airside Operations
- Facility & Resource Management
By Airport Type
- International Airports
- Domestic Airports
- By Operating Model
- Civil Airports
- Joint Civil–Military Airports
By Deployment Model
- On-Premises
- Cloud-Based
- Hybrid
By End User
- Airport Authorities & Operators
- Airlines
- Ground Handling & Cargo Service Providers
- Government & Aviation Regulatory Bodies