Enabling the airport of tomorrow through a connected data ecosystem

As global air travel demand continues to grow significantly year-on-year, airports must look beyond physical expansion which is often too slow and capital-intensive to meet immediate needs. By treating data as a shared strategic asset, the entire airport community can collaborate to unlock hidden capacity and drive punctuality.

Prior to the latest escalation of conflict in the Middle East, global air travel continued to demonstrate remarkable resilience. Despite higher fuel costs, airspace disruptions, and longer routings weighing on growth, underlying demand remains strong, with global passenger traffic forecast to grow by 2.1 percent in 2026. Even though this represents a material slowdown from recent years, travellers’ willingness to fly has moderated rather than stalled.

While this upward trend is positive overall, successfully servicing demand is no longer just about growth; it is about operational resilience across the entire airport ecosystem enabled through data.

Crucially, as this ecosystem becomes more digitally integrated, this resilience must also evolve to include collective defence against sophisticated digital risks, echoing ACI Europe’s recent calls for collaborative action against emerging AI-powered cyber threats.

Where hidden capacity meets growth and real-world volatility

Physical expansion can’t keep pace with this growth, nor can it solve the immediate pressures of a fuel-price crisis. When external shocks such as sudden route closures or fuel-driven schedule reductions hit, airports cannot rely on old infrastructure. The answer lies in better data and smarter operations; unlocking the agility to pivot resources in real-time when the unexpected happens.

But technology alone isn’t enough. The airports leading the way are combining advanced tools with a deeper shift, treating data not as proprietary IP to be guarded, but as a shared strategic asset that the entire airport community can act on together.

Why data foundations and partnerships matter more than AI alone

To serve today’s needs and facilitate growth, there’s a rising focus among aviation leaders on how unrealised data capabilities can accelerate operational excellence. Much of this is being approached from a technology investment lens – for example, looking at the role AI in aviation can play to be more proactive and unlock efficiencies.

An additional lever of growth gaining momentum is a shift towards joint data mandates, including shared data ownership, and tighter aligned partnerships. Together, advanced technologies and stronger convergence of the airport community lay the groundwork for data to unlock intelligent operations and lasting improvements. Critically, the data itself is no longer the differentiator. What separates leading airports is the collective will and the organisational structures to act on it together.

Shifting from reactive problem-solving to proactive optimisation

When airports invest in foundational data architecture, they move from reactive firefighting to proactive optimisation. Historically, airport IT has relied on isolated point solutions designed for individual problems. But an airport is a single, interconnected system meaning a local fix in one area often causes a new bottleneck to arise somewhere else. The true challenge is managing these systemic 'ripple effects' of disruption. Embedded data ensures that when an external crisis forces a schedule change, insights are accessible across all levels to mitigate the impact on passengers and airport performance.

Our work with Heathrow Airport demonstrates how a shared data mindset can play its part to transform punctuality. Heathrow's OTP had fallen sharply; from 80 percent in 2021 to just 59 percent in 2022 as post-Covid demand outpaced operational recovery. Our experts engaged stakeholders across the airport community and analysed large volumes of historic and operational data to identify the root causes behind declining performance. The work supported an airport-wide 14-percentage-point improvement in OTP in the first quarter of 2024 alone, with a programme of initiatives designed to deliver sustained gains for airlines, passengers, and the airport over the long term.

We pinpointed the highest-impact actions within the airport's control including critical turnaround timings, such as towing windows, and used these shared insights to create a common fact-base for collaboration across airlines, handlers, and airport teams. Shared dashboards reinforced this, enabling more consistent, informed, and aligned decision-making for faster operational interventions.

When data foundations are strong, airports gain the ability to anticipate issues, adjust plans earlier, and optimise operations at scale. More importantly, they create an environment where data becomes a shared, strategic asset rather than a technical tool used narrowly by specific teams.

Accelerating strategic alignment across the airport community

Operational efficiency in aviation hinges on the ability to align stakeholders around shared goals. This coordination is often challenged by misaligned incentives, differing performance metrics, or legacy processes that encourage siloed working.

Coordination is also hindered by practical barriers rarely named openly: commercial distrust between competing airlines and suppliers, data sovereignty and GDPR concerns, and legacy IT infrastructure that was never designed for interoperability. Overcoming these requires intentional governance and a shared commitment to transparency.

Creating a unified trajectory for improvement

When all parties work from the same, trusted set of insights, the focus shifts from isolated point solutions to a unified trajectory for improvement. Shared visibility enables more accurate planning, faster decision-making, and a clearer understanding of how individual local fixes and collective actions ripple across the entire system to affect overall airport performance.

Data acts as a mechanism to enable alignment, providing a common foundation for informed decision-making and coordinated action across the airport ecosystem. When all parties work from the same, trusted set of insights, the focus shifts from isolated point solutions to a unified trajectory for improvement. Shared visibility enables more accurate planning, faster decision-making, and a clearer understanding of how individual local fixes and collective actions ripple across the entire system to affect overall airport performance.

A practical demonstration of this is Heathrow’s ‘On Time Together’ campaign, which brought the airport community together around a single commitment to improving punctuality. Rather than imposing top-down mandates, it created a space where frontline teams across organisations could collaborate, escalate issues, and share best practice. Through a unified forum and shared data language, stakeholders are able to develop a common understanding of the airport’s operational challenges and work together more effectively. By enabling a common picture of performance, data becomes the backbone of aligned decision-making across the ecosystem. The outcome has been tangible: record-breaking passenger numbers in recent years, driven not by new infrastructure but by better-coordinated use of the capacity that already existed.

Open data sharing underpins a seamless customer experience

Achieving alignment requires trust – something that has traditionally been difficult in an environment where airlines, ground handlers, and airport operators must balance different, and often competing, operational mandates and resource priorities. Without open data sharing, each stakeholder functions in isolation, which leads to inefficiencies, duplicated efforts, and missed opportunities to improve the passenger experience. And it is passengers who ultimately bear the cost through delays, disruption, and an airport experience that feels less joined-up than it should.

While the reluctance to share data is a well-known industry hurdle, the friction has evolved. Today, the barrier isn’t just a legacy perception of data as proprietary intellectual property; it is the cultural friction of accountability. In a tightly integrated system, sharing real-time data creates total transparency, making it instantly clear which specific stakeholder owns a delay or a bottleneck. Overcoming this requires moving past the fear of finger-pointing, establishing a culture where shared data is used to solve systemic issues rather than assign commercial or political blame.

Rethinking data ownership from protected IP to shared value

Achieving operational excellence requires a mindset shift from guarding data to creating value-driven exchanges. Rather than viewing data sharing as a compliance burden or a commercial risk, stakeholders must see it as a critical operational trade: providing local data visibility in exchange for the systemic predictability that only a perfectly synchronised turnaround can provide.

This reframing is essential for unlocking the full potential of collaborative operational models. When partners work from a shared pool of real-time information, transparency replaces guesswork. Crucially, this shared foundation allows the airport ecosystem to manage challenges at every level of magnitude. On a day-to-day basis, it helps teams proactively identify and smooth out minor localised bottlenecks before they cause a ripple effect. When unexpected disruptions hit, such as sudden weather shifts or equipment failures, it allows for rapid tactical resource reallocation. And during major external crises, this embedded agility ensures the entire system can re-stabilise and absorb the shock without collapsing into widespread cancellations.

Empowering coordinated decision-making through cultural commitment

While frameworks like Airport Collaborative Decision Making (A‑CDM) have long offered a foundation for shared operational pictures, leading hubs are moving beyond these legacy platforms toward Total Airport Management (TAM) and truly intelligent operations. This evolution integrates flight schedules, resource availability, and ground operations into a single, predictive ecosystem. However, achieving an intelligent airport is not purely a technology upgrade; it is a behavioural and cultural commitment to shared data as a foundation for joint operational success.

AI in action as a strategic enabler of shared data ecosystems

Innovations in AI are further enhancing these collaborative environments and our work with Schiphol Airport demonstrates the transformative impact of mature, shared data ecosystems. We worked with the airport to harness new technology, including AI-powered camera vision, to support A-CDM. By installing cameras at stands capturing snapshots every five seconds, the Deep Turnaround model can monitor over 30 turnaround processes in real time. This enables Schiphol to detect potential delays up to 30 minutes before the targeted off-block time (TOBT), providing actionable insights to help reduce turnaround times. The result is faster, more predictable aircraft movements, higher stand utilisation, and a smoother passenger experience, all underpinned by data-driven decision-making at the heart of A-CDM.

Practical steps to align the data backbone

With compelling use cases of where data can expedite operational improvements, here are a series of actionable steps to ensure collaboration delivers value across the airport community. Crucially, this foundational roadmap is also precisely how airports must prepare their data ecosystems to successfully put AI into action.

1. Put formal data-sharing agreements in place across the airport community: Establish joint operational data charters around shared operational goals (for example, OTP, turnaround performance, passenger flow predictability) between the airport, airlines, ground handlers and key suppliers; defining what data is shared, how often, for what purpose, and who is accountable.
2. Stand up cross-ecosystem data working groups with delivery authority: Create a permanent, cross-functional data group with named representatives from airport operations, IT/data, airlines, and ground handlers, empowered to make decisions around required shared data standard and policies to tackle the operational challenges.
3. Baseline today’s performance before launching any new data initiative: Before switching on any new data sharing mechanism or platform, jointly agree a single, shared baseline of current operational performance and target outcomes. This ensures that every data initiative is explicitly tied to improving core airport metrics (e.g. OTP, taxi out times, stand conflicts, passenger throughput) rather than generating more reporting.
4. Prove value quickly with high impact, airport controlled operational use cases: Start with a small number of high impact use cases where reliable data already exists, and scale only once value is proven. Confidence will build across the ecosystem, making it easier to expand data sharing and justify further investment.

Unlocking next gen data-driven airport operations

As global demand for air travel continues to grow despite ongoing volatility, the path to lasting operational improvement lies in building a genuinely connected data ecosystem grounded in shared foundations, aligned decision-making, and collaborative behaviours. The intelligent airports that will lead are not necessarily those with the most data or the most sophisticated AI. They are the ones that have done the harder work: building the trust, governance, and shared purpose to act on data together.

In an era where airspace can close in an hour and regional disruptions ripple instantly, this system-wide coordination is no longer just an operational ideal; it is a structural necessity to protect the viability of the entire aviation network. By turning data into a collective defence against volatility, the airport community can move from merely surviving disruptions to mastering them. That is where the real capacity gains are waiting to be unlocked, ensuring that even in a volatile climate, the airport of tomorrow remains operationally resilient, fiscally stable, and ready to absorb the next record-breaking peak.