Conflict in West Asia has disrupted the supply of raw materials for printed circuit boards (PCBs), impacting electronics manufacturing.
Iran struck Saudi Arabia's Jubail petrochemical complex in early April, halting production of high-purity polyphenylene ether (PPE) resin.
SABIC, responsible for 70% of global high-purity PPE supply, has been unable to resume output, tightening material availability.
PCB prices surged as much as 40% in April compared to March, driven by rising demand and material shortages.
The global PCB industry is projected to reach $95.8 billion in 2026, with a 12.5% increase.
Detailed Insights:
The disruption compounds existing challenges for electronics manufacturers, including rising memory chip costs, highlighting the conflict's broad impact on supply chains.
The Jubail complex shutdown has severely limited the availability of high-purity PPE, a critical material for manufacturing PCB laminates.
Shipping disruptions in the Gulf region further exacerbate supply chain issues, impacting the timely delivery of raw materials and finished products.
Increased demand for AI servers has driven PCB prices upward since late last year, with manufacturers scrambling to secure supplies amidst rising costs.
Shortages of other key materials like glass fiber and copper foil contribute to the sharp rise in PCB prices, affecting the entire electronics industry.
Daeduck Electronics, a South Korean PCB maker, is negotiating price increases with customers like Samsung Electronics, SK Hynix, and AMD due to material shortages.
Waiting times for chemical materials like epoxy resin have increased significantly, from three weeks to fifteen weeks, impacting production timelines.
Key Concepts Involved:
Printed Circuit Board (PCB): A board that connects electronic components using conductive tracks, pads, and other features etched from copper sheets.
Polyphenylene Ether (PPE): A high-performance thermoplastic polymer used in the production of PCB laminates due to its heat resistance and electrical properties.
AI Servers: High-performance computing systems optimized for artificial intelligence and machine learning workloads, requiring advanced PCBs.