Where Aftermarket Value Is Actually Moving
The mainstream narrative around commercial engine aftermarkets in 2026 frames the story as one of AI, predictive maintenance, and digital transformation, all aimed at improving efficiency. That narrative is directionally correct and incomplete in ways that matter.
What is actually underway is not a technology upgrade. It is a structural reconfiguration of industrial power, where data is being used to re-centralize control, lock in customers, and reprice a market that now exceeds $47 billion in annual engine MRO spending alone.
The commercial engine aftermarket has crossed a threshold. Engine MRO demand grew from $43.78 billion in 2025 to $47.07 billion in 2026, according to ResearchAndMarkets’ Global Forecast (March 2026), and is projected to reach $75 billion by 2032 at a 7.99% compound annual growth rate. Engine services now account for 53% of the total commercial MRO value of $139 billion, up from 46% just two years ago, according to Aviation Week Network’s 2026 Commercial Aviation Fleet & MRO Forecast. Yet the most consequential variable shaping this market is not the size of the revenue pool. It is who controls the decisions that determine when, where, and under what terms an engine gets maintained.
Massive volumes of operational data, not hardware, are becoming the decisive competitive asset. Oliver Wyman estimates the global fleet could generate 98 million terabytes per year by 2026. In that transition, the aftermarket is becoming a business where value accrues not to those who perform maintenance, but to those who orchestrate it.
This is the emergence of the data-defined aftermarket. And most executives have not yet grasped what it means for their organizations.
Fleet Growth, Capacity Strain, and the Regional Picture
Three intersecting forces define the global aviation ecosystem in 2026: structural demand recovery, industrial reindustrialization under constraint, and the rapid digitalization of lifecycle economics. Air traffic demand has surpassed pre-pandemic figures as measured by revenue passenger kilometers. The global commercial fleet is expected to grow 28% over the next decade, from approximately 28,400 aircraft to 36,400 by 2034, according to Oliver Wyman’s 2024 Global Fleet & MRO Forecast. Meanwhile, Boeing’s 2024 Commercial Aircraft Market Outlook projects that aviation services, including MRO, modifications, parts, training, and digital solutions, will grow at 4.3% annually over 20 years, representing a cumulative $4.4 trillion opportunity. S&P Global reports that global passenger numbers exceeded 4.6 billion in 2024 and are expected to nearly triple by 2050. Yet supply chains remain constrained. New-generation engines such as LEAP and GTF require 20 to 30% higher shop visit rates and experience turnaround times up to 150% longer than those of legacy platforms, according to Oliver Wyman.
Regionally, the dynamics are revealing. The United States continues to dominate intellectual property in engines and digital platform development. GE Aerospace reported adjusted revenue of $42.3 billion in 2025 (SEC filing, January 2026), a 21% increase year-over-year, with operating margins expanding to 21.4% and a services backlog exceeding $140 billion. The company targets $40 billion in revenue for 2026, with over 70% of commercial revenue derived from aftermarket services. Capital markets increasingly reward this model: firms with aftermarket platforms trade at elevated P/E multiples ranging from 40x to over 100x as of Q1 2026, reflecting investor conviction in recurring, high-margin revenue streams.
Europe maintains strength in engineering and OEM integration, anchored by players such as Rolls-Royce and Safran . Safran announced in October 2024 an investment of more than €1 billion to expand its global LEAP MRO network, targeting 1,200 shop visits per year by 2028, with new facilities in India, Mexico, Morocco, and expanded capacity in France. Yet the region also faces tension around data sovereignty. The EU AI Act introduces compliance friction that disproportionately impacts independent MRO providers, potentially reinforcing OEM data moats. China is pursuing a structurally different path, building sovereign aftermarket ecosystems through COMAC and parallel engine programs, with localized MRO capacity and indigenous data infrastructure designed to reduce exposure to Western-controlled data platforms. If Chinese carriers, representing 15 to 20% of global narrowbody orders, gradually exit Western OEM aftermarket ecosystems, the revenue impact on GE, Pratt, and Rolls-Royce could be material. In the GCC, sovereign-backed airlines and investment vehicles leverage scale and liquidity to influence aftermarket economics, positioning themselves as both customers and co-investors in MRO infrastructure.
Across all regions, the competitive battlefield is shifting from manufacturing scale to lifecycle intelligence, though in the near term, access to physical capacity remains the most urgent constraint.
Inside the Propulsion Ecosystem: How Maintenance Decisions Are Migrating Upstream
At the system level, the commercial engine aftermarket consists of five interconnected layers. Engine OEMs (GE Aerospace, Pratt & Whitney via RTX, Rolls-Royce, CFM International (CFM)) design, certify, and produce engines. They increasingly operate under long-term service agreements (LTSA), typically spanning 10 to 15 years, that convert one-time sales into recurring revenue. Under power-by-the-hour structures, OEMs charge airlines a fixed rate per engine flight hour, typically in the range of $150 to $300, depending on engine type and contract scope, in exchange for guaranteed maintenance coverage. Aircraft OEMs (Airbus, Boeing) integrate engines into platforms and influence engine selection through airframe-engine compatibility. Airlines, the ultimate operators, are no longer passive customers but active data generators and negotiators in data-sharing agreements. MRO providers execute physical maintenance, historically through labor-intensive, schedule-based operations. An expanding layer of digital and technology partners, cloud providers, AI platforms, and sensor ecosystems is becoming central to extracting value from engine data.
Historically, value creation in engines followed a simple logic: sell the engine, lock in a long-term service contract, and monetize maintenance events. That logic is being redefined. The new model: deploy the engine, continuously collect data, predict behavior, optimize lifecycle interventions, monetize outcomes. The difference is structurally transformative.
Modern engines generate millions of data points per flight, according to Pratt & Whitney EngineWise disclosures. The EngineWise Intelligence platform now manages over 10,000 engines across 140 customers, with GTF engines generating approximately 4 million data points per two-hour flight, 40% more than the predecessor V2500. GE Aerospace processes millions of engine parameters daily through its digital twin architecture. Rolls-Royce’s “Blue Data Thread” represents a bidirectional data architecture that integrates engine health monitoring, airline maintenance management systems, real-time flying conditions, and MRO facility data into a unified digital thread. The FADEC (Full Authority Digital Engine Control) processor, now standard across virtually all post-2015 commercial turbofan engines, serves as the primary hub for data collection and transmission. Safran’s FADEC 4, introduced in 2023, offers 10x the computing power of previous generations, enabling edge analytics directly on the engine.
The structural consequence is that maintenance decisions are migrating upstream. Independent MROs can still perform physical work. But OEMs increasingly control diagnostics, maintenance timing, parts prioritization, and engineering instructions through their data platforms. The decision authority has shifted, even if the wrench remains downstream.
Five Forces Reshaping Engine MRO Economics
Next-Generation Engine Capacity Is the Binding Constraint
The introduction of next-generation engines has created a structural imbalance between demand and available service capacity. LEAP and GTF engines require 20 to 30% higher shop visit rates and experience turnaround times stretching to 250 to 360 days in severe cases, compared to pre-pandemic norms of approximately 60 days (Aviation Week, Q4 2025). The Pratt & Whitney GTF powder-metal contamination crisis has dramatically amplified this constraint: as of late Q4 2025, approximately 835 aircraft with GTF engines were grounded worldwide, according to Cirium fleet data, representing roughly 33-38% of the global PW1000G-powered fleet. RTX estimated the full-year 2025 cash impact at $1.1 to $1.3 billion for GTF-related activities alone (RTX earnings guidance). This imbalance is not cyclical. It is engineered into the system by higher bypass ratios, tighter tolerances, and immature supply chains. In this environment, airlines are paying premiums for shop slots, spare engines, and parts availability before they invest in data platforms. The capacity crisis is the near-term reality; data control is the medium-term structural shift. Both must be addressed simultaneously.
Outcome-Based Contracts Are Replacing Time-and-Materials Economics
Traditional aftermarket models based on time-and-materials billing are misaligned with the economics of modern engines. The industry is transitioning toward outcome-based models: power-by-the-hour and performance guarantees enabled by predictive analytics. McKinsey’s industrial services framework indicates that companies implementing data-driven aftermarket models can achieve 2 to 10x margin expansion compared to traditional service structures, with the range reflecting differences across segments: component-level analytics at the lower end, fully integrated outcome-based contracts at the higher end. GE Aerospace now derives over 70% of commercial revenue from aftermarket services (GE SEC filing, January 2026). However, outcome-based contracts also transfer risk to the provider. The GTF crisis illustrates this directly: RTX has absorbed billions in warranty and service costs. Who bears the cost when a predictive model fails, or a latent manufacturing defect surfaces, is a question the industry has not fully resolved.
Private Equity Is Consolidating MRO Around Capacity and Data
The engine MRO sector remains highly fragmented, with the top players controlling less than 30% of the market. Private equity firms, including H.I.G. Capital, Carlyle Group, and CORE Industrial Partners, are accelerating consolidation. PitchBook data shows 24 MRO-related deals in 2024, up from 12 in 2021. Verified recent transactions include AAR Corp’s completed $725 million acquisition of Triumph Group’s Product Support business (announced December 2023, closed March 2024), H.I.G. Capital’s acquisition of STS Aviation Group (October 2024), ITP Aero’s acquisition of Aero Norway for CFM56 MRO capability (completed February 2026, backed by Bain Capital), and Safran’s €1 billion LEAP MRO network expansion (announced October 2024). These deals reveal a pattern: acquirers are buying both physical capacity and data capability, not one or the other.
Engine Data Is Becoming a Geopolitical Variable
Engine data is evolving from a commercial asset into one with geopolitical dimensions. While OEMs maintain proprietary access to core datasets, airlines and regulators are increasingly challenging this dominance. China is developing sovereign aviation ecosystems through COMAC to reduce reliance on Western OEM data platforms. In May 2025, the U.S. Department of Commerce paused the export of LEAP engines to COMAC, underscoring the geopolitical dimension of propulsion supply chains. The EU Data Act and AI Act introduce compliance requirements that could reshape data ownership norms. According to an EY assessment of airline data approaches (2025), several major carriers are resisting full-stream engine data sharing with OEMs, fearing erosion of bargaining power in future maintenance negotiations.
Technician Attrition Is Forcing Automation into the Critical Path
The aviation maintenance workforce is structurally constrained, with 5-7% annual technician attrition, according to industry workforce assessments. According to a 2026 IAMA survey, over 60% of MRO technicians lack the digital literacy required for AI-driven diagnostics being deployed by OEMs. Automation is moving from an efficiency tool to an operational necessity. Industry estimates suggest that robotic inspection, automated non-destructive testing, and AI-driven diagnostics can enable capacity expansion of up to 30% without proportional increases in headcount. Data and automation are not efficiency plays. They are labor substitutes in a structurally constrained environment.
The Aftermarket Power Map: OEMs, Airlines, Independents, and Capital
OEM Power Consolidation. Engine manufacturers with strong digital capabilities are capturing a disproportionate share of lifecycle value. GE Aerospace’s FLIGHT DECK operating model, leveraging a $190 billion backlog, accelerated services revenue by 26% and increased engine deliveries by 25% in 2025, including record LEAP output exceeding 1,800 units (GE SEC filing, January 2026). The aftermarket, traditionally fragmented, is consolidating around OEM-led digital ecosystems where switching costs extend far beyond the engine shop. However, this consolidation also concentrates risk. If an OEM’s cloud infrastructure is disrupted, or if algorithmic predictions fail at fleet scale, the operational consequences extend across multiple airlines simultaneously.
Airlines as Contested Data Stakeholders. Airlines are no longer passive customers. They are data generators, operational partners, and increasingly reluctant participants in OEM data ecosystems. The GTF crisis has forced a painful concession: airlines facing hundreds of grounded aircraft are sharing deeper operational data and accepting OEM diagnostic authority in exchange for priority turnaround access. When aircraft are grounded, ideology disappears. Whoever can return the asset to service fastest controls the negotiation. What airline CFOs actually want in 2026 is aircraft back in service, predictable costs, contractual protection against OEM failures, and optionality rather than deeper lock-in. Whether the data-defined aftermarket model actually serves airline needs or primarily serves OEMs' margin expansion at airline expense is a question that will determine the sustainability of these business models.
The Independent MRO Squeeze. Independent MRO providers face a structural challenge: limited access to proprietary data and increasing dependence on OEM platforms for next-generation engines. The market is bifurcating. Large-scale independents with digital capabilities, StandardAero and MTU Maintenance, are consolidating and competing effectively within OEM-authorized networks. CFM’s “Premier MRO” network of six authorized providers (Delta TechOps, Lufthansa Technik, ST Engineering, StandardAero, Air France-KLM Royal Dutch Airlines, MTU Dallas) reflects a model in which the ecosystem is open for maintenance execution but closed to data monetization. Legacy engine types (CFM56, V2500) represent the last “data-light” maintenance segment where independents retain pricing power.
Private Equity as the Consolidator of Record. PE firms are buying both physical capacity access and data positioning. The investment thesis is financial: the aftermarket offers predictable, recurring revenue, high barriers to entry, and recession resilience. However, MRO businesses are working-capital-intensive. Parts inventory, work-in-progress engines, and slow-paying airline receivables can tie up 120 to 180 days of working capital. A data-defined aftermarket platform that generates 20% EBITDA margins but requires $200 million in parts inventory is a very different investment from one that generates 15% margins with 60 days of working capital. Cash conversion rate, not margin, determines PE returns.
Hidden Winners. The most underestimated actors sit in the value flow around the engine without building engines. Parts and component specialists (TransDigm Group Inc., HEICO) benefit from scarcity pricing and proprietary PMA alternatives. Data infrastructure providers monetize storage, processing, and analytics without owning aircraft. Lessors use data to optimize asset value and time part-outs. In a capacity-constrained market, spare-engine lease rates have arguably become the single most important commercial variable, with rates for popular narrowbody engines reaching historic highs as grounded fleets compete for available powerplants.
A Five-Level Framework for Aftermarket Positioning
Executives evaluating their position in this transformation need a structured assessment tool. The following five-level framework separates organizations experimenting with data from those building a durable competitive advantage through it.
Data Acquisition. Are engines equipped to capture high-fidelity operational data? Is data standardized across fleets and engine types? Organizations without comprehensive sensor coverage and standardized data pipelines cannot participate in the data-defined aftermarket. This is table stakes.
Data Infrastructure. Is there a scalable cloud architecture capable of near real-time processing? Can the system ingest cross-OEM and cross-fleet datasets? Infrastructure determines whether data is an operational byproduct or a competitive asset.
Predictive Capability. Are AI and machine learning models deployed for predictive insights? How accurate are failure predictions? CFM’s health monitoring for LEAP engines has achieved 60% earlier lead time in identifying maintenance recommendations, a 45% increase in detection rates, and a 50% reduction in false alerts over the past decade, according to CFM International (April 2024). Early results from Rolls-Royce’s Blue Data Thread initiative showed a 48% increase in time-to-first-engine-removal through multi-variable forecasting, based on initial findings reported in 2022 by IFS and Rolls-Royce. These are directional benchmarks, not universal outcomes. Predictive maintenance reduces surprises but does not eliminate them: the GTF crisis demonstrated that current models detect operational degradation effectively but miss a fundamental manufacturing defect.
Operational Integration. Are predictive insights embedded into maintenance workflows, parts allocation, and crew scheduling? A prediction sitting on a dashboard has zero value. A prediction that triggers parts allocation, schedules a slot, aligns the workforce, and updates flight operations creates an immediate economic impact. Speed of execution, not quality of insight, is what monetizes data.
Commercial Model Alignment. Are contracts structured around outcomes, availability, reliability, and performance guarantees, rather than time and materials? Is data monetized through contractual leverage and recurring revenue, not just operational efficiency? The critical commercial question at this level: how is risk priced? When an OEM guarantees availability, it absorbs downside risk previously distributed across the value chain. Warranty reserves, insurance structures, and risk-transfer mechanisms must be designed alongside the commercial model, not as an afterthought.
A boardroom test: at which level does your organization currently operate, and where are your competitors?
Early Signals Most Analysts Are Not Tracking
Retired Engines Powering Data Centers
FTAI Aviation announced in late 2025 the launch of FTAI Power, converting retired CFM56 engines into 25-megawatt natural-gas aeroderivative turbines for data center loads, with production starting in 2026. This creates an entirely new demand channel for older engine cores that would otherwise enter the used serviceable material pool. If data center conversion pays more than MRO overhaul for aging engines, the aviation aftermarket faces unexpected parts scarcity, and engine residual value calculations must incorporate non-aviation demand for the first time.
Who Is Liable When an Algorithm Gets Maintenance Wrong
When an OEM’s digital twin predicts 500 cycles remaining on a turbine blade and the blade fails at 300 cycles, who is liable? Current FAA and EASA regulatory frameworks address the airworthiness of physical engines but lack comprehensive provisions for data integrity, algorithmic transparency, and accountability for AI-driven maintenance decisions. The industry is self-regulating in a governance vacuum. A major algorithmic failure could reshape liability structures across the aftermarket.
Quantum Simulation of Turbine Blade Wear
Small-scale applications of quantum computing to simulate turbine blade wear at the atomic level are emerging in laboratory settings, including a completed project between Xanadu and Rolls-Royce. If validated at an industrial scale, this technology could eventually extend component life intervals, though commercial application remains distant.
Autonomous Maintenance Orchestration
GE Aerospace’s expanded collaboration with Palantir in early 2026 around AI systems that autonomously suggest or initiate maintenance actions, order parts, and schedule technicians represents an early signal of a deeper automation frontier. This moves beyond prediction into autonomous execution, potentially redefining the role of human technicians and the organizational architecture of MRO operations.
How the Aftermarket Could Reshape by 2035: Three Plausible Trajectories
OEM-Controlled Closed Platforms (Most Likely, 45 to 55% Probability)
This is the most likely near-term trajectory. Over the next decade, the aftermarket will consolidate around a small number of OEM-controlled digital ecosystems. GE Aerospace, Rolls-Royce, and Pratt & Whitney extend their digital twin architectures into fully integrated closed-loop platforms, embedding predictive analytics directly into long-term service agreements. Airlines increasingly depend on OEM-managed outcome-based contracts as engine complexity and capacity constraints persist. Independent MROs become execution layers within OEM ecosystems, performing physical work under OEM orchestration.
Drivers: Proprietary data network effects that strengthen with scale; billions in annual aerospace technology investment accelerating AI and digital twin capabilities; persistent MRO bottlenecks reinforcing dependency.
Consequence: Value concentrates within OEMs as they convert data access into recurring, high-margin service revenues. Proprietary platforms command EBITDA multiples of 14x to 18x (Harris Williams, 2025), while non-integrated providers face margin compression. Airlines effectively become “operators of leased intelligence.”
Contested and Federated Data Access (25 to 30% Probability)
Airlines, large lessors, and independent MROs push back against OEM data dominance, creating federated data architectures across fleets. Regulatory pressure, particularly from Europe under the EU Data Act and AI Act, forces partial data-sharing standards. Major carriers aggregate cross-OEM datasets to build internal or third-party analytics capabilities. A parallel “MRO-tech” software layer emerges. Industry estimates project the aviation MRO software market growing from $9.1 billion in 2025 to $13.8 billion by 2034, decoupling analytics from OEM control.
Drivers: Airline resistance to data lock-in; EU regulatory frameworks pushing interoperability; growth of independent digital infrastructure.
Consequence: The aftermarket becomes a contested data environment. OEM margins compress as analytics becomes partially commoditized. Value shifts toward platform aggregators and data intermediaries.
Reliability Gains Compress the Aftermarket Itself (15 to 25% Probability)
As next-generation engines mature, their maintenance profiles stabilize. McKinsey’s projection materializes: newer engines deliver lifetime maintenance costs equal to or lower than those of legacy platforms, reversing the temporary spike in shop visits. Combined with advanced predictive maintenance, the industry requires fewer physical interventions per engine over time, even as the global fleet expands. Oliver Wyman has already revised its long-term MRO growth outlook from 2.9% CAGR to 1.8%, even as engine-related work temporarily pushes engine MRO CAGR to 2.3%.
Drivers: Resolution of early reliability issues in GTF and LEAP engines; scaling of predictive maintenance, reducing unplanned failures; data-driven optimization, minimizing unnecessary shop visits.
Consequence: The aftermarket shifts from volume-driven revenue to precision-driven value capture. Overcapacity emerges in physical infrastructure. The premium moves to those who can monetize uptime guarantees, not those who scale repair capacity.
The most probable outcome is a hybrid. OEMs will consolidate data control in the near term, but regulatory intervention and airline pushback will force partial data openness over time, while long-term reliability improvements gradually compress traditional MRO volumes. The investment implication: margin expansion on a moderating volume base, favoring integrated platforms over pure-capacity plays.
What Most Executives Are Getting Wrong About Aftermarket Growth
The Industry Assumption: Most executives believe the commercial engine aftermarket is entering a sustained growth supercycle, driven by fleet expansion, rising MRO demand, and the monetization of data through predictive maintenance and outcome-based contracts. More complex engines, more data, and more flying hours will structurally expand aftermarket revenue pools.
This view is directionally correct and incomplete in ways that matter.
Why This Assumption Is Flawed: The first fault line sits in growth assumptions themselves. Oliver Wyman’s long-term MRO growth outlook has been revised downward from 2.9% CAGR to 1.8%, even as near-term engine-related work inflates short-term demand. McKinsey notes that once early reliability issues in next-generation engines are resolved, they are expected to deliver lifetime maintenance costs comparable to or lower than those of legacy platforms. The very technologies currently inflating aftermarket demand are structurally designed to reduce it over time.
What Is Actually Happening Beneath the Surface: What appears today as a demand boom is, in significant part, a transitional inefficiency phase, a function of immature engines, constrained capacity, and learning curves. The GTF powder-metal crisis is an extreme manifestation of this transitional spike. As these systems stabilize, the aftermarket shifts from volume-driven economics to precision-driven economics, where value is created not by more shop visits but by fewer, better-timed interventions. Meanwhile, 46.7% of the aircraft health-monitoring market remains tied to hardware according to Global Market Insights (2024), indicating that the software-led transformation is still incomplete.
The Reconciliation: This does not mean the aftermarket is shrinking. It means the nature of value is changing. Volume may moderate, but the margin per intervention should expand as data-driven precision replaces scheduled maintenance. The winners will be organizations that capture a higher margin on a moderating volume base through outcome-based contracts and data-enabled pricing, not those scaling physical capacity into a market that may require less of it. Organizations that understand this distinction will allocate capital very differently from those chasing volume growth.
As Rumi observed eight centuries ago: “The wound is the place where the light enters you.” The aftermarket’s current wounds, capacity constraints, data dependencies, and structural inefficiencies may be precisely the opening through which a fundamentally different industrial architecture emerges.
What This Means for How Leaders Organize and Invest
For executives navigating this transformation, the required shift in perspective is fundamental. The transition is not from mechanical to digital. It is from asset ownership to decision control. Engineering builds credibility. Data builds visibility. Control of maintenance decisions, when, where, how, and under what commercial terms an engine is serviced, builds power. The leaders who recognize this distinction earliest will position their organizations for the decade ahead.
This demands a different kind of organizational architecture. Siloed structures where engineering, IT, operations, and commercial teams operate independently cannot compete in a closed-loop data environment. The constraint is not technology. It is an integration capability at scale. Companies must break down functional silos, align incentives across hardware and service teams, redesign decision-making processes, and build hybrid talent that combines engineering depth with data science and operational execution.
Patience matters here. The data-defined aftermarket rewards organizations that invest in integration infrastructure before the market fully reprices. Those who wait for consensus will find themselves paying premium valuations for capabilities they should have built internally.
Three Moves That Will Separate Winners from the Rest
Secure a Proprietary Data Layer Before OEM Moats Close
Evaluate whether to develop or acquire a proprietary engine analytics platform, digital twin plus predictive maintenance, anchored to your installed base or partner ecosystem, rather than relying on OEM-controlled data environments. Why timing matters: OEM data moats are still forming, not yet fully locked, while regulatory pressure in Europe is beginning to challenge exclusivity. Establishing early control over a proprietary data layer positions the organization to capture high-margin, recurring service revenues and avoid relegation to a commoditized execution role. Customer concentration risk is real here: a handful of carriers represent disproportionate aftermarket spending, and bilateral data arrangements between a major airline and an OEM could bypass platform intermediaries entirely.
Shift Capital from Physical Expansion to Capacity Intelligence
Reassess capital deployment between expanding physical MRO footprint and investing in data-driven capacity optimization: AI scheduling, predictive maintenance, remote diagnostics, robotic inspection. The question is not whether to add capacity, but whether to augment existing capacity through intelligence. Current conditions show 150% increases in turnaround times for next-generation engines, while technician attrition runs at 5-7% annually. This indicates a structural, not cyclical, capacity constraint, in which labor cannot scale linearly with demand. Companies that treat data as a capacity multiplier can increase throughput without proportional labor or capital expenditure. The working capital implication is significant: data-driven throughput optimization can reduce work-in-progress inventory days and accelerate cash conversion, which, for PE-backed platforms, is where returns are actually generated.
Design for Both Closed and Open Data Futures
Design commercial and data approaches that can operate under both a closed OEM-dominated ecosystem and a partially open, regulated data environment. This includes embedding services into long-term outcome-based contracts while selectively enabling interoperable data interfaces. Why timing matters: The regulatory trajectory, particularly in Europe, suggests growing scrutiny over data ownership, while airlines are increasingly resisting full-stream data sharing. Engine aftermarket margins of 2 to 10x those of new equipment (McKinsey) make this profit pool highly contested. The EU regulatory timeline suggests initial data-sharing frameworks could take effect within 3 to 5 years, though enforcement will be jurisdiction-specific. A dual-positioned approach insulates against the industry’s largest unpriced risk: the possibility that regulators force open access to data that currently generates premium returns.
In a market where engines generate data, data controls decisions, and decisions control money, who will define the data architecture of global aviation: the OEMs who build the engines, the capital platforms consolidating around them, or the sovereign ecosystems determined to build their own?
Andy Demir analyzes the strategic, commercial, and geopolitical forces shaping aerospace, defense, space, and high-value technology markets.
For a strategic exchange on where this market is heading and how to respond, connect via LinkedIn.
Related Reading
- Polishing the Skies: A Strategic View of the Global Aerospace Industry in 2026
- Aerospace Technology Trends 2026
- Global Military Aviation Industry Trends, Developments, and Challenges 2026