A joint research paper by IDC and Cyient
The Intelligent
Aftermarket
Your Aftermarket is generating valuable signals. So why manage it reactively?
Every asset in the field is generating signals - from vibration and temperature to usage, cycles, and wear. But when PLM, ERP, IoT, and field-service systems operate in silos, those signals remain disconnected. The result? Excess inventory in one warehouse, stock-outs in another, and engineers arriving on site without the right part to complete the job.
What if inventory decisions could respond to live demand signals?
Forecasts could continuously adapt. Replenishment could happen autonomously. Parts could be positioned before a work order is even raised - because the asset has already indicated what it needs.
The opportunity: a more intelligent Aftermarket.
One where service events continuously feed insights back into engineering, improving first-time fix rates and creating the foundation for models like spares-as-a-service. The result is an Aftermarket operation that is more responsive, more efficient, and increasingly a source of competitive advantage.
The signals are already there. The question is whether you're acting on them.
48.7%
of service leaders now rank growing service revenue as a top priority
47.9%
want faster response to product quality and service issues in the field
~40%
of total revenue can come from Aftermarket in aerospace alone
What the report unpacks
- Why reactive service has reached its limit
- Where agentic AI transforms spares, parts, warranty and scheduling
- How a unified AI operating model scales beyond pilots
- Why human-in-the-loop governance is non-negotiable