South Korea AI-Driven Smart Airport Infrastructure Market Research Report: Trends, Forecast & Opportunities (2026-2032)

South Korea AI-Driven Smart Airport Infrastructure Market Key Takeaways

• The South Korea AI-driven smart airport infrastructure market stood at around USD 78 million in 2025 and is anticipated to expand from USD 98 million in 2026 to USD 198 million by 2032.
• The industry is projected to witness steady growth at a CAGR of 12.44% over the forecast period.
• Hardware held nearly 46% share of the component segment in 2026.
• Airport authorities & operators accounted for approximately 55% share of the end-user segment in 2026.
• The industry is moderately consolidated, with the top five leading players accounting for approximately 46% of the total market share.

South Korea AI-Driven Smart Airport Infrastructure Market Size and Outlook

South Korea's largest airports are handling passenger volumes that increasingly exceed the efficiency of conventional airport operations, accelerating the adoption of AI-driven systems for biometric passenger processing, intelligent queue management, baggage handling, and airside operations. Incheon International Airport handled a record 74.04 million passengers in 2025, an increase of 4.1% compared to 2024, according to Incheon International Airport Corporation. As passenger traffic continues to grow and operational complexity increases, AI adoption is evolving from isolated deployments of service robots, AI chatbots, and biometric boarding gates into a broader airport modernization strategy.

This transition is further reinforced by Korea Airports Corporation's commissioning of a nationwide AI transformation master plan covering all 14 domestic airports in 2026, creating a long-term opportunity for the deployment of intelligent airport infrastructure, predictive operational systems, and advanced passenger management solutions across the country's airport network. Supported by these structural developments and continued digital transformation initiatives, the AI-driven smart airport infrastructure market in South Korea was valued at USD 1.18 billion in 2025, reached USD 1.29 billion in 2026, and is projected to reach USD 2.48 billion by 2032, registering a CAGR of 11.51% during the forecast period.

South Korea AI-Driven Smart Airport Infrastructure Market Key Indicators

• Incheon International Airport's Phase 4 expansion, completed in November 2024 with an investment of approximately USD 3.41 billion, increased the airport's annual capacity to 106 million passengers. The expansion integrated AI-enabled Smart Pass and automated screening systems, accelerating the deployment of intelligent airport infrastructure.
• Facial recognition-based Smart Pass was deployed across 31% of Incheon International Airport's departure gates by May 2026, with a target of 50% by year-end. The expansion is increasing demand for AI-powered biometric authentication and automated passenger processing systems.
• Incheon International Airport handled 2.95 million tons of cargo in 2025, while belly cargo volume increased by 2.0%. Rising cargo traffic is driving the adoption of AI-enabled cargo handling, automated sorting, and intelligent logistics management solutions.
• South Korea allocated approximately USD 6.97 billion for artificial intelligence in its 2026 national budget, nearly three times higher than 2025. Increased government investment is accelerating AI adoption across critical infrastructure, including smart airport modernization.
• Incheon International Airport Corporation (IIAC) has secured 42 overseas airport technology projects across 18 countries, with a cumulative contract value of approximately USD 585.58 million. This reflects the growing competitiveness of South Korea's smart airport technologies and supports continued investment in AI-driven airport infrastructure.

South Korea AI-Driven Smart Airport Infrastructure Market Scope

South Korea AI-Driven Smart Airport Infrastructure Market Growth Drivers

Government-Led Deployment of AI-Based Airport Security and Biometric Infrastructure

South Korea is accelerating the deployment of AI-enabled airport security and biometric infrastructure through government-backed modernization initiatives rather than relying solely on individual airport investments. Dongkuk Gijeong completed the installation of CT X-ray-based security screening systems at Incheon International Airport in January 2026, extending the smart security checkpoint program introduced at Terminal 1 in 2022. The company also secured additional security equipment contracts from the Korea Customs Service and Korea Airports Corporation during 2025. These CT-based systems generate three-dimensional images capable of detecting prohibited items without requiring passengers to remove liquids or electronic devices, strengthening biometric airport security systems while improving passenger throughput.

As government-backed deployments gather pace, AI-enabled security infrastructure is expanding beyond individual airport projects into a coordinated national modernization program spanning customs authorities, regional airports, and major international gateways. This momentum is expected to strengthen further as the Ministry of Land, Infrastructure and Transport (MOLIT) advances its 7th Airport Development Comprehensive Plan (2026–2030), supporting broader adoption of airport automation technologies alongside AI-powered security systems, biometric screening technologies, and integrated airport automation solutions across South Korea's airport network.

Recent Trends

Expansion of AI-Based Digital Twin Technology for Intelligent Airport Operations

South Korean airport authorities are increasingly adopting digital twin technology as a core component of intelligent airport operations, extending its use beyond infrastructure design to real-time facility management and operational planning. Korea Airports Corporation (KAC) established a dedicated AI·BIM Center on December 11, 2025, introducing a Building Information Modeling (BIM)-based digital twin strategy for airport facility and construction management. The adoption of this approach has since expanded to a two-stage digital twin model for Gimpo Airport's domestic terminal, where it supports AI-assisted collision avoidance and safety management under the KAC-BIM system, while the same methodology is being applied to the Gadeokdo New Airport project.

As implementation expands across airport infrastructure projects, digital twin technology is evolving into a standard tool for airport asset management, infrastructure maintenance, and operational decision-making. This evolution is further supported by Korea Airports Corporation's collaboration with Autodesk and continued engagement with industry and academic stakeholders to strengthen BIM-based airport management capabilities, driving demand for AI-based digital twin platforms, real-time operational analytics, and intelligent airport management solutions.

South Korea AI-Driven Smart Airport Infrastructure Market Opportunities and Challenges

Expanding AI Attack Surface Across Interconnected Smart Airport Systems Leading to Growth in Integrated AI Security Solutions

As South Korean airports deploy AI across security screening, baggage handling, digital twin-based facility management, predictive maintenance, and passenger processing, previously independent operational systems are becoming increasingly interconnected through shared AI models, data platforms, and cloud infrastructure. While this integration enhances operational efficiency, it also expands the potential cyberattack surface, increasing the importance of airport cybersecurity across critical airport operations. National cyber incident reports reached 2,383 in 2025, an increase of 26.3% from 1,887 in 2024 and the highest level on record, according to the Ministry of Science and ICT and the Korea Internet & Security Agency. Recognizing these evolving risks, the government's 2026 cybersecurity outlook highlights the growing importance of securing interconnected AI models, datasets, and digital infrastructure as AI adoption accelerates across critical sectors.

As airport AI ecosystems become increasingly interconnected, the focus is shifting from standalone cybersecurity tools to unified AI security platforms capable of protecting intelligent airport systems across operational, security, and passenger service environments. This direction is further reinforced by initiatives announced during the 2026 Aviation Security Week, jointly hosted by the Ministry of Land, Infrastructure and Transport, the National Intelligence Service, and the National Police Agency, to strengthen South Korea's advanced aviation security ecosystem. These developments are creating significant opportunities for vendors offering integrated AI security, intelligent threat detection, and secure smart airport infrastructure solutions.

Segmentation Insights

Hardware Holds 46% Share of the Component Segment Driven by Capital-Intensive Physical Deployment

South Korea's AI-driven smart airport infrastructure development is currently centered on large-scale deployment of physical assets rather than recurring software or service investments, as government-led airport modernization programs prioritize the installation of critical operational infrastructure. Korea Airports Corporation (KAC) disclosed approximately USD 23.2 million investment in aviation security equipment, including CT X-ray screening systems, highlighting the strong emphasis on hardware procurement.

This investment pattern reflects the current phase of market development, where airports are establishing the physical foundation required for AI-enabled operations through biometric kiosks, smart cameras, airport IoT solutions, edge computing devices, and advanced screening equipment. As deployment expands from Incheon International Airport to Korea Airports Corporation's 14 regional airports, continued investment in core airport infrastructure is expected to sustain Hardware as the largest component segment, while Software and Services gradually gain momentum with the expansion of digital twin platforms, predictive analytics, and AI-based operational management solutions. Based on component, the market has been segmented into:

• Hardware
• Software
• Services

Airport Authorities & Operators Hold 55% Share of the End-User Segment as the Direct Infrastructure Owners

Airport authorities and operators account for the largest share of AI-driven smart airport infrastructure investments because they own, develop, operate, and maintain the core airport assets where AI technologies are deployed. Their responsibilities extend across security systems, baggage handling, passenger processing, digital twin platforms, airside operations, facility management, and airport operations management, making them the primary organizations responsible for procuring, integrating, and managing AI-enabled airport infrastructure.

This leadership is further demonstrated by Korea Airports Corporation's institution-wide AI transformation initiatives. Following its designation as an "AI-leading institution" by the Ministry of Economy and Finance in September 2025, KAC launched 50 AI innovation projects spanning airport safety, facility management, operational efficiency, and administrative systems, according to the corporation's own disclosure. The breadth of these initiatives reinforces the central role of airport authorities in driving AI adoption across airport infrastructure, supporting their position as the largest end-user segment in the South Korea AI-driven smart airport infrastructure industry. Based on end user, the market is categorized into:

• Airport Authorities & Operators
• Airlines
• Ground Handling & Cargo Service Providers
• Government & Aviation Regulatory Bodies

South Korea AI-Driven Smart Airport Infrastructure Market Competitive Analysis

The South Korea AI-driven smart airport infrastructure market exhibits a moderately consolidated competitive structure, with leading participants differentiating themselves through AI integration expertise, end-to-end smart airport solutions, and strong execution capabilities in government-funded airport modernization projects. Honeywell International Inc., Siemens AG, LG CNS Co., Ltd., Samsung SDS Co., Ltd., and Thales S.A. together hold nearly 46% of the market.

Key Players of AI-Driven Smart Airport Infrastructure in South Korea

• Honeywell International Inc.
• Siemens AG
• Thales S.A.
• SITA B.V.
• Amadeus IT Group, S.A.
• NEC Corporation
• LG CNS Co., Ltd.
• Samsung SDS Co., Ltd.
• Hanwha Systems Co., Ltd.
• Daifuku Co., Ltd.

South Korea AI-Driven Smart Airport Infrastructure Industry News and Recent Developments

May 2025: Hyundai Motor Group and Incheon International Airport Collaborate to Deploy AI-Powered EV Charging Robots

Hyundai Motor Group and Incheon International Airport Corporation signed a Memorandum of Understanding (MoU) to deploy AI-powered Automatic Charging Robots (ACRs) at Incheon International Airport. The airport will serve as a real-world demonstration site to validate autonomous charging technologies under operational conditions, supporting the integration of AI-driven robotics into airport mobility infrastructure and future smart transportation services.

Impact Analysis: This collaboration reinforces the adoption of AI-powered automation within airport infrastructure beyond passenger processing and security applications. The deployment of intelligent robotic technologies is expected to strengthen smart airport ecosystems, improve operational efficiency, and create new opportunities for AI-enabled autonomous mobility solutions across South Korea's airport infrastructure.

September 2025: Incheon International Airport Becomes Asia's First Member of the Airports AI Alliance

Incheon International Airport Corporation joined the Airports AI Alliance (AAA) as the first airport in Asia, strengthening international collaboration on artificial intelligence adoption across airport operations. The partnership enables cooperation with leading global airports and technology organizations to accelerate AI deployment, validate emerging technologies, and establish best practices for intelligent airport infrastructure development.

Impact Analysis: The alliance strengthens South Korea's position as a regional leader in AI-driven airport innovation while accelerating knowledge exchange and technology collaboration. It is expected to support the wider adoption of AI-powered airport operations, encourage investment in intelligent infrastructure, and enhance the competitiveness of South Korea's smart airport ecosystem.