Decision-making

Decision-making

83% of airlines prioritize data-driven decision-making.

IT Focus Areas

IT Focus Areas

71% of airports rank cybersecurity as their top overall IT focus area.

Investment priorities by 2027

Investment priorities by 2027

73% of airports plan to increase AI investment over the next two years.

% are based on weighted data so totals may not equal 100% due to rounding.

Explore our main insights

How do you contain disruption and costs?

As schedules tighten, even small disruptions get expensive. Connect flight, crew, stand, and passenger data, and issues stay contained instead of cascading. This is where airline technology trends are now focused.

What are the challenges of AI in aviation?

AI depends on aligned data, not just models. When operational data is consistent, AI speeds up decisions across variables. When data is fragmented, AI hesitates, and value slows with it.

What’s the link between cybersecurity and operational resilience?

Cybersecurity now protects the data that keeps operations running. One breach in connected systems can ripple across partners and slow everything down. Resilience depends on protecting shared operational data across partners.

What comes before scaling biometric deployment?

Biometrics alone won’t smooth passenger flow. Real impact comes when every system sees the same passenger. No repeated checks.

How can we actually make aviation sustainable?

It starts with operational precision. Emissions can only be measured and reduced at scale when data flows across all partners. Sustainability counts when it reflects real operations, not fragmented estimates.

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The advantage of knowing

For airlines and airports, keeping operations running smoothly now depends on real-time data. When information flows across teams and partners, decisions come faster and disruptions are caught sooner. When it doesn’t, small problems ripple across the system.

IT investment is rising for a reason. Real-time, connected data is now central to how operations run. Airlines and airports are using it to keep data flowing and operations on track.

Data-driven decision-making is now standard across airline and airport operations. Most organizations now rely on it to give them the clarity and control they need to keep operations running well.

AI adoption in aviation is accelerating. But it only works when data can flow across different systems, connected and consistent.

In aviation, it’s coordination, not tech, that drives performance. Success depends on how well airlines, airports, and partners work together and share data, not just on the tech they use.

Fragmented data holds aviation back. It raises risk and limits performance. When information doesn’t flow between systems, decisions slow and managing threats, including cybersecurity, becomes harder.