Digital MRO Market Size

Global Digital MRO Market size was valued at USD 1.01 billion in 2023 and is poised to grow from USD 1.14 billion in 2024 to USD 3.01 billion by 2032, growing at a CAGR of 12.9% during the forecast period (2025-2032).

The expansion of Internet of Things (IoT) technologies is one of the principal drivers of the market. IoT devices enable real-time monitoring and data capture from equipment, which leads to preventive maintenance processes and reduces downtime. With sensors and connectivity, organizations can gain actionable insights, predict failures before they occur, and optimize maintenance schedules. It enhances operational efficiency and extends equipment lifespan, making IoT a significant driver in the move towards digital MRO solutions.

Predictive analytics is revolutionizing the Digital MRO market by enabling organizations to anticipate equipment failure and maintenance needs. For instance, in October 2024, Asia Digital Engineering partnered with Revima to enable Revima's groundbreaking APU predictive maintenance system, PREDICTAIRE, in fleet management software. This type of integration is a classic demonstration of the burgeoning application of predictive analytics in the Digital MRO space, enabling organizations to predict equipment failure and maintenance needs and hence reduce unplanned downtime as well as equipment overall reliability.

Increased demand for more operational efficiency in various industries is pushing the global digital MRO market growth. Organizations seek products that will automate maintenance tasks, reduce operating costs, and optimize asset management. Digital MRO solutions provide advanced features such as automated processes, real-time monitoring of performance, and enterprise system integration. With optimized maintenance activities and improved resource allocation, organizations can achieve more productivity and cost reduction, fueling the need for digital MRO solutions.

A common pitfall in the digital MRO market is its steep installation price. Installation of digital MRO solutions involves significant initial expenses to invest in sophisticated software, retool hardware, and educate personnel, which can be immensely challenging for small organizations or those having tight budgets. Moreover, the ROI is delayed since the organization needs time to transition to new processes and systems. Although computer-based MRO solutions can offer substantial long-term benefits like reduced downtime and enhanced efficiency, the high upfront expense remains an enormous barrier to many businesses' implementation.

How AI is Revolutionizing Inventory and Spare Parts Management?

By driving predictive maintenance, maximizing operating efficiency, and minimizing costs, artificial intelligence (AI) is transforming the digital maintenance, repair, and overhaul (MRO) industry. AI solutions forecast equipment failure, eliminate repetitive inspections with automation, and accelerate maintenance with machine learning, big data analytics, and real-time monitoring. AI enables proactive decision-making through analysis of historical data and aircraft health data, which reduces downtime and enhances fleet reliability. Moreover, AI-based automation of inventory management avoids delays and keeps additional parts ready on time.

• For example, in 2024, Lufthansa Technik launched an artificial intelligence (AI)-based predictive maintenance platform that minimized aircraft downtime and maximized operating efficiency by providing real-time diagnostics and automatic repair suggestions.