In issue 757 of the Sea-Intelligence Sunday Spotlight, we evaluated the operational nature of the Asia-Europe trade following the December 2023 shift to the Cape of Good Hope routing. We found that carrier networks have not reached operational equilibrium, leaving the market increasingly bifurcated by distinct transit time strategies and performance disparities.
Figure 1 illustrates this structural divergence across different Asia-Europe sub‑region corridors. The most significant finding is the high Coefficient of Variation (CV) – which is utilised to measure the volatility of transit times. A CV of 25‑35% on a 45‑day transit time indicates a 13‑16 day deviation compared to the average. This degree of volatility introduces substantial operational risk for shippers, not only with inventory planning, but also for downstream logistics.
The data also reveals an inverse relationship between average transit times and CV, which indicates that carriers are facing a direct trade‑off between offering aggressive transit times with high volatility or significant schedule padding but with more predictable transit times. In these two extremes are Southeast Asia (SEA) and Northeast Asia (NEA) origins. What is fascinating here, is that the delta between the average transit time from NEA and SEA to the same destination regions far exceeds the sailing time between the two. This suggests that significant additional time buffers have been added to NEA rotations, to absorb a higher likelihood of delays encountered by ports at the start of the Asia loading leg. (....)In issue 757 of the Sea-Intelligence Sunday Spotlight, we evaluated the operational nature of the Asia-Europe trade following the December 2023 shift to the Cape of Good Hope routing. We found that carrier networks have not reached operational equilibrium, leaving the market increasingly bifurcated by distinct transit time strategies and performance disparities.
Figure 1 illustrates this structural divergence across different Asia-Europe sub‑region corridors. The most significant finding is the high Coefficient of Variation (CV) – which is utilised to measure the volatility of transit times. A CV of 25‑35% on a 45‑day transit time indicates a 13‑16 day deviation compared to the average. This degree of volatility introduces substantial operational risk for shippers, not only with inventory planning, but also for downstream logistics.
The data also reveals an inverse relationship between average transit times and CV, which indicates that carriers are facing a direct trade‑off between offering aggressive transit times with high volatility or significant schedule padding but with more predictable transit times. In these two extremes are Southeast Asia (SEA) and Northeast Asia (NEA) origins. What is fascinating here, is that the delta between the average transit time from NEA and SEA to the same destination regions far exceeds the sailing time between the two. This suggests that significant additional time buffers have been added to NEA rotations, to absorb a higher likelihood of delays encountered by ports at the start of the Asia loading leg. (....)