Don’t Miss These Critical Insights
This is one of the most disruptive supply cycles the industry has seen in a decade – and organisations that act early will be the ones best positioned to avoid cost shocks, delays, and infrastructure bottlenecks.
Global demand for memory and storage has skyrocketed – and the market is feeling it. In this essential webinar, our experts break down the 2025–2027 RAM and SSD supply crunch, helping organisations understand what’s happening, why it’s happening, and how to navigate it with confidence.
This session is perfect for IT leaders, procurement teams, infrastructure architects and anyone facing unpredictable pricing, shrinking quote windows, or component availability challenges.
Insights you will gain:
- The Current State of the Market
- Get a clear snapshot of the global supply environment, including:
- Forecasts suggesting disruption may last into 2027
- A severe shortage of DRAM (RAM) and NAND (SSD)
- Server DRAM contract prices up 50% YTD, with another 30% rise expected in Q4
- SSD/NAND pricing jumping 20–60% month‑on‑month
What’s Driving the Crunch
- Understand the forces reshaping the technology supply chain:
- The explosive AI data‑centre boom rapidly increasing demand
- Manufacturers strategically tightening supply after years of oversupply
- Global trade uncertainty slowing investment
- Why production capacity cannot be switched back on quickly
The Real‑World Impact on Organisations
- Learn how the supply crunch is affecting procurement today:
- Rapid 10–20% OEM price increases
- High volatility expected for the next 6–12 months
- Quote validity windows shrinking to as little as 7 days
- Delivery lead times stretching to 12+ weeks
What You Should Do Next
This webinar outlines the steps businesses must take now to stay protected:
- Plan 8–12 weeks ahead
- Stay flexible on specifications, delivery and cost
- Accelerate orders for x86 servers and storage
- Refresh estates with DDR5‑based infrastructure to reduce risk
- Avoid being locked into expensive future software subscription models