Map-first intelligence for semiconductor supply chains. Start with the global map, then drill into company, country, facility, and scenario views.
Calculating component scores and pulling rankings.
Map-first intelligence for semiconductor supply chains. Start with the global map, then drill into company, country, facility, and scenario views.
Supply Chain Bottleneck Analysis
Higher values indicate dependency on a narrow supplier base.
Weight 20% · 14.4 ptsHigher values indicate geographic concentration in fewer jurisdictions.
Weight 20% · 18.2 ptsHigher values indicate more concentrated logistics exposure on the active route basis.
Weight 15% · 5.0 ptsHigher values indicate lower substitutability and therefore higher bottleneck risk.
Weight 10% · 3.3 ptsHigher values indicate greater exposure to policy, export-control, or sanctions disruption.
Weight 10% · 6.1 ptsHigher values indicate more severe disruption if delivery timelines slip.
Weight 15% · 11.4 ptsHigher values indicate exposure tied to strategically important downstream use cases.
Weight 10% · 8.9 ptsVia: Luzon Strait
Commodities: logic ICs, memory, photoresist
Via: strait-of-malacca, suez-canal
Commodities: logic ICs, DRAM, NAND
Via: taiwan-strait
Commodities: etch equipment, CVD equipment, wafers, photoresist
Via: taiwan-strait
Commodities: EUV lithography systems
Via: suez-canal, strait-of-malacca
Commodities: etch/CVD equipment, metrology, process chemicals
Via: taiwan-strait
Disruption scenarios:
Disruption scenarios:
Disruption scenarios:
Disruption scenarios:
Weighted average of normalized component scores.
Authority: Live computation
All weighted component values are normalized bottleneck-risk contributions on a 0-1 scale.