AI Powers Massive ATM Upgrade Across MEASA Airports

Airports across the Middle East, Africa and South Asia (MEASA) are investing millions of dollars to modernize their Air Traffic Management (ATM) and Air Traffic Control (ATC) systems. The transformation is being driven by new technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Big Data, which are reshaping global aviation.

The push for digitalization comes as global air travel continues to grow rapidly. Passenger numbers are expected to reach 5.2 billion in 2026 and surge to 17.7 billion by 2043. By that year, total aircraft movements worldwide are projected to touch 149 million. In 2026 alone, passenger traffic in the Middle East is expected to exceed 240 million.

With rising air traffic density, airports in the MEASA region are integrating AI and Big Data solutions into their ATM systems. These technologies help continuously analyze air traffic patterns, manage aircraft spacing, enhance airspace safety, and improve operational efficiency.

The Middle East, home to 110 airports and one of the world’s fastest-growing aviation corridors, is actively upgrading its ATM and ATC infrastructure. Airports are adopting advanced digital solutions to stay competitive and handle growing passenger volumes efficiently.

These innovations will take center stage at the 25th edition of the Airport Show, scheduled from May 12 to 14, 2026, at the Dubai World Trade Centre. The event is expected to feature more than 150 exhibitors from over 30 countries and attract over 7,000 visitors, along with 120 hosted buyers.

The event will be held under the patronage of Sheikh Ahmed bin Saeed Al Maktoum, President of Dubai Civil Aviation Authority and Chairman and Chief Executive of Emirates Airline and Group. The show will also host co-located conferences including the Global Airport Leaders’ Forum (GALF), Airport Security Middle East, ATC Forum, and Women in Aviation (WIA) Middle East Conference. The ATC Forum will mark its ninth consecutive edition in 2026.

Dubai Air Navigation Services (dans), the Air Navigation Services Provider at the UAE’s four airports including Dubai International Airport (DXB), is among the key participants. DXB has been the world’s busiest airport for international passengers since 2014.

Ibrahim Ahli, CEO of dans, said the rapid expansion of fleets, airports, and global connectivity is putting increasing pressure on air navigation service providers. He stated that dans is upgrading its Air Traffic Management systems using advanced technology to ensure safer, more efficient, and cost-effective services aligned with Dubai’s aviation growth.

Dans has signed a research agreement with Emirates Aviation University to develop AI-driven solutions aimed at reducing aircraft holding patterns at DXB and improving overall airspace management. The organization is also upgrading Communication, Navigation and Surveillance (CNS) systems and implementing advanced runway capacity concepts such as Dependent Diagonals.

Meanwhile, Al Maktoum International Airport is undergoing a US$35 billion expansion. Once completed in the mid-2030s, it is expected to handle up to 260 million passengers annually.

May Ismail, Event Manager at RX Middle East, said AI and Big Data integration are transforming ATM systems into smarter, adaptive, and safer platforms. She added that Airport Show 2026 will present leading ATM and ATC technologies for the Middle East and nearby regions.

Globally, the ATM market is projected to reach US$10.96 billion in 2026 and grow to US$21.24 billion by 2034. Air traffic is expected to hit 9.7 billion passengers annually by 2030. According to an analysis by Oliver Wyman, the global commercial aviation fleet will exceed 36,000 aircraft by 2033, compared to over 22,000 today.

The International Civil Aviation Organization (ICAO) predicts that by the mid-2030s, more than 200,000 flights will operate daily worldwide. By 2040, global Revenue Passenger Kilometres (RPK) are expected to reach 14.8 trillion, equivalent to 178 percent of 2019 levels, according to the International Air Transport Association (IATA) baseline scenario.

Studies show that AI-powered predictive models have already reduced air traffic delays by 18 percent in European airspace. In the United States, AI-based decision tools have improved air traffic controller response times by 22 percent. ICAO also reported that AI predictive analytics have lowered unexpected system failures by 25 percent, ensuring smoother and safer operations.

As air travel demand continues to rise, MEASA airports are moving quickly to adopt AI-powered ATM and ATC systems, ensuring safer skies, fewer delays, and a better passenger experience in the years ahead.