As global aviation rebounds and fleets return to the skies, maintenance, repair and overhaul (MRO) is emerging as one of the fastest-growing sectors in aerospace. Airlines are flying older aircraft for longer, utilisation rates are climbing, and complex engines are staying in shop visits for extended periods. The result is a surge in demand for inspection, repair and qualification capacity — and a growing recognition that the industry will increasingly rely on automation, advanced data platforms and artificial intelligence to keep pace.
For companies operating across the aerospace supply chain, the question is no longer whether digital technologies will shape the future of MRO, but how quickly they can be integrated into existing processes. The scale of the MRO challengeAircraft maintenance has always been a discipline defined by precision and caution. Engineers must verify that every component — from turbine blades to fuselage structures — meets strict safety and regulatory requirements before an aircraft can return to service. But the economics of aviation mean time is critical. Airlines are spending heavily to maintain their fleets.
Recent disclosures from European operators show annual maintenance spending rising sharply as aircraft age and utilisation increases. Every additional hour an aircraft remains in the hangar represents lost revenue. At the same time, repair facilities are under pressure from labour shortages, rising complexity in engine technology, and the sheer scale of inspection work required. This combination is accelerating investment in automation and digital tools across the industry. Artificial intelligence is already playing a growing role in aerospace maintenance. Machine learning models are analysing sensor data to identify early signs of wear, predict component life and flag anomalies long before they become operational issues. Large aerospace manufacturers have invested heavily in digital platforms that transform vast streams of aircraft data into maintenance insight.
Thousands of sensors track variables such as temperature, vibration, oil consumption and pressure, feeding information into analytics systems that help engineers anticipate faults and plan repairs more efficiently. Automation is also transforming physical inspection work. Autonomous drones can now scan aircraft surfaces in minutes using high-resolution cameras and thermal imaging. Collaborative robots — or “cobots” — are increasingly used to carry out repetitive inspection tasks that demand absolute consistency and accuracy. But despite the rapid pace of innovation, human expertise remains central. “Artificial intelligence is an incredibly powerful tool, but aviation will always rely on skilled engineers to interpret the data and make the final decisions,” says Ben Anderson, Managing Director of AddQual Ltd.
“Technology is enhancing the engineer’s capability, not replacing it. The real opportunity lies in giving engineers better information, faster, so they can make confident decisions about safety and serviceability.” While predictive analytics and digital twins are transforming how aircraft systems are monitored, another challenge lies deeper within the MRO process: inspection and measurement. Many repair operations rely on dimensional verification using coordinate measuring machines (CMMs) and other metrology equipment. These inspections are essential for confirming that repaired components meet strict aerospace tolerances. However, inspection processes can become bottlenecks when demand increases.
“As MRO volumes rise, many organisations instinctively think the solution is to buy more machines,” Anderson explains. “But the real challenge is often how the data flows through the inspection process.” He continues: The metrology equipment itself is extremely capable. What organisations often need is a better way to manage the data, automate reporting and connect measurement results directly to engineering decisions.” This is where digital metrology platforms are beginning to reshape the workflow. At Derby-based AddQual, engineers have developed MiDAS (Metrology Integrated Data Automation System) to help organisations transform how inspection data is captured, structured and used. Rather than treating metrology output as isolated reports, platforms such as MiDAS convert measurement results into structured data that can feed directly into digital manufacturing and repair systems.
The approach aligns with the wider digital transformation taking place across aerospace. “As aviation embraces automation and AI, inspection data needs to become part of the digital thread,” Anderson says.“When measurement results are structured and connected to engineering workflows, you can automate reporting, accelerate decision-making and remove unnecessary delays from the process.”
Importantly, the aim is not to replace existing equipment but to unlock more value from it. “This technology works alongside the machines companies already have,” Anderson adds. “It’s about allowing engineers to focus on solving problems rather than compiling reports.” The global MRO market is expected to expand dramatically over the next two decades as air travel grows and fleets continue to age. Supporting that growth will require new ways of working across the entire maintenance ecosystem. Automation, AI and advanced analytics are helping organisations improve inspection speed, predict maintenance needs and optimise repair planning. Digital twins allow engineers to simulate wear patterns and test maintenance strategies virtually before touching physical components. Together, these technologies are creating a more connected maintenance environment — one where decisions are informed by real-time data rather than isolated inspection results.
Anderson believes this transformation will become unavoidable as the sector scales. “The growth in aviation means the industry has to think differently about how it handles information,” he says. “Automation and AI aren’t just about efficiency; they’re about enabling the next phase of aerospace growth. If the sector is going to support the expansion of global air travel, digital technologies will play a crucial role in making that possible." Despite rapid technological advances, aviation remains one of the most highly regulated industries in the world. Engineers and licensed technicians remain responsible for certifying that aircraft meet strict safety standards. As a result, the future of MRO is unlikely to be defined by automation replacing human expertise. Instead, the industry is moving toward a more collaborative model — one in which engineers are supported by increasingly powerful digital tools.
AI may analyse sensor data, drones may scan airframes, and automated platforms may organise inspection results. But it is still the experience and judgement of aerospace engineers that ultimately ensures aircraft return safely to the skies. The technologies now emerging across the sector suggest that this partnership between people and machines will only deepen as aviation continues its next phase of growth.For companies developing digital inspection platforms, the opportunity lies not in disrupting the industry, but in helping it scale. And as the global MRO market expands, the ability to turn data into insight — quickly, accurately and automatically — may become one of aviation’s most valuable capabilities.
