Major U.S. hub airport managing 72M+ annual passengers and $37B regional economic impact
DFW is a large-scale government-operated airport managing operations across two terminals with active construction (Terminal F build-out, Terminal C renovation) while handling over 72 million passengers annually. The tech stack reflects dual operational maturity: enterprise resource planning (Oracle Fusion, SAP, Workday) paired with infrastructure-critical systems (SCADA, CMMS, GIS, Building Information Modeling).
Dallas Fort Worth International Airport is a government-owned public-use airport serving the Dallas–Fort Worth metropolitan area. The airport handles 72.2 million customers annually across 191 domestic and 63 international nonstop destinations, making it one of North America's busiest superhub airports. DFW generates over $37 billion in annual economic impact for the North Texas region. The organization operates with 1,001–5,000 employees across operations, engineering, security, and corporate functions, managing both day-to-day passenger services and major capital projects including terminal construction and facility modernization. DFW has committed to carbon net zero by 2030.
DFW uses Oracle (Fusion, Payables), SAP (including Concur for travel), Workday for HR, plus infrastructure systems: SCADA, CMMS (computerized maintenance), GIS, BIM, Palo Alto Networks, and Cisco for security and networking.
Active projects include Terminal F construction, Terminal C renovation, risk management system (RMIS) implementation, enterprise risk management framework development, airport layout plan updates, and emergency response / business continuity planning.
Dallas Fort Worth International Airport (DFW)'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.