Justin Newell, Chief Executive Officer of the Software Company, INFORM North America.

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​Across the global aviation sector, modern terminal operations are facing an unprecedented stress test. While commercial aviation has aggressively digitized everything from biometric boarding to predictive engine maintenance, a critical pillar of ground operations has remained largely reactive: passenger mobility and specialized assistance services.

According to a report from DataIntelo, the global market for Airport Passengers with Reduced Mobility (PRM) Assistance Systems is on track to double, rising from $3.8 billion in 2025 to $7.6 billion by 2034 at an 8.1% CAGR. Covering integrated hardware, cloud software platforms and managed operations, these systems enable airports, airlines and ground handlers to deliver efficient, dignified accessibility support for PRM travelers, unaccompanied minors and VIP escorts.

Tightening Mandates And Demographic Tailwinds​

Globally, accessibility standards are transitioning from passive guidelines to strict, enforceable compliance. In the United States, updated Air Carrier Access Act rules require tighter delivery windows and granular digital reporting. European Union regulations and global IATA standards demand transparent auditability and standardized assistance workflows across international partner networks.

Compounding this regulatory scrutiny is an unprecedented volume surge. With the aging global population driving mobility requests well past baseline traffic growth, accessibility services at major hubs now account for up to 7% of all passenger journeys according to the DataIntelo report. Deploying intelligent dispatching platforms has become critical to protecting departure punctuality, maintaining audit compliance and delivering dignified passenger care.

The Dispatcher’s Dilemma

Traditionally, passenger assistance dispatching has relied on static shift plans, two-way radios and basic visualization tools. While a digital Gantt chart shows where staff are assigned, it cannot solve the core operational dilemma, because aviation is inherently dynamic.

A sudden gate change, an early widebody arrival with dozens of pre-notified wheelchair requests, or a delayed connection can instantly derail an entire shift roster. When allocators and dispatchers are forced into firefighting mode, dispatchers face high cognitive load from having to manually juggle assignments under severe time constraints. Field agents endure inefficient routing and prolonged idle times between assignments, and passengers experience frustrating delays at gates or baggage claims. This hurts airline net promoter scores (NPS) and on-time departure metrics.

The industry needs predictive decision support that bridges flight schedules, workforce availability and real-time passenger demand.

From Reactive To Predictive

Modern operational resilience depends on integrating predictive forecasting and algorithmic optimization into a scalable software-as-a-service (SaaS) architecture.

By combining machine learning with historical operational data, airport platforms can forecast assistance demand long before an aircraft touches down. This predictive layer allows dispatchers to dynamically position resources ahead of demand peaks instead of scrambling after gates open.

Adopting intelligent passenger assistance dispatching shows that operational efficiency and empathetic passenger care can be mutually reinforcing. When decision intelligence orchestrates assistance services, the business value is measurable across several dimensions. Reducing deadhead transit and idle time keeps agents actively supporting passengers rather than moving between assignments; early adopting hubs such as Frankfurt, Schiphol and Changi report 18% to 25% lower labor hours per assistance, per the DataIntelo report.

Properly automated task allocation could help reduce wait times and missed service incidents. Preventing boarding and deplaning bottlenecks protects flight turnaround times and slot compliance. And consolidating passenger, flight and time stamp data into a single record establishes clear SLA verification and transparent billing.

The Evaluation Checklist

When evaluating this technological evolution, aviation technology leaders should focus on four areas:

1. Explainable AI And Human-in-the-Loop Control. Optimization algorithms must provide clear, explainable logic to allocators rather than acting as a black box. Operators should be allowed the flexibility to review automated recommendations while retaining drag-and-drop override capabilities, ensuring technology serves as a force multiplier rather than a rigid constraint.

2. Frictionless Field Enablement And Structured Handovers. Optimized central dispatching is only as effective as its execution on the terminal floor. It is critical to equip field agents with intuitive mobile applications that enable accurate time-stamping while coping with the live tasks that are being performed with the passengers. The applications must allow seamless, verified passenger handovers that digitally create real-time transparency across waiting, pickup and transit times.

3. Enterprise Interoperability And Open Frameworks. Siloed platforms create blind spots. Make sure modern dispatching platforms integrate seamlessly via standard APIs with core airport ecosystems, including Airport Operational Databases (AODB) and flight information displays (FIDS), standard aviation messaging (such as SITA/Type B), workforce management platforms, and airline departure control systems (DCS). A unified data flow transforms disjointed point solutions into a single source of operational truth.

4. Multi-Station Standardization Across Regional Networks. For global ground handlers operating across dozens of airports, fragmented legacy tools lead to inconsistent service quality and uneven labor efficiency. The use of cloud-native SaaS platforms can help standardize key operational KPIs, auditability and reporting across multiple regional hubs while empowering local dispatchers with real-time station control.

The Terminal Of Tomorrow

As airports prepare for the next generation of terminal infrastructure—incorporating indoor positioning data, passenger-facing mobile updates and autonomous mobility vehicles—the dispatching engine will serve as the central nervous system coordinating human staff, autonomous fleets and passenger flows.

Upgrading mobility dispatching is a foundational investment in building a resilient, efficient and accessible airport ecosystem.

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