Event Intelligence
Sharp Reliability Drop from Asian Port Congestion
Port congestionGlobal, Hong Kong, SingaporeActive Updated 28th September 2026 · 16:55
- Significance
- Material
- Impact
- Negative
- Confidence Confidence indicates how reliable ProcIntel considers the event assessment based on the quality, quantity and independence of the supporting evidence. It does not measure the event's importance.
- Low
- Evidence
- 1 source 1 signal
Overview
What happened Source facts
Global container vessel schedule reliability dropped to 56.4% in July 2026, a decline of ‑6.1 percentage points (pp) M/M. This is the sharpest single‑month decline since January 2021. Concurrently, the average delay for late vessel arrivals climbed to 6.06 days, an increase of 0.59 days M/M. This pronounced drop was driven primarily by congestion across major Asian ports. All 14 of the region's busiest ports experienced a decrease in on‑time vessel arrivals. As shown in Figure 1, these 14 major Asian ports saw severe schedule reliability degradation. Yantian took the hardest hit with schedule reliability plummeting ‑23.5 percentage points (pp) down to just 48.3%. Hong Kong dropped by ‑20.4 pp to 51.6%, and Ningbo saw reliability fall by ‑20.1 pp to 34.6%. The situation in Shanghai is particularly alarming. Following a steep decline of ‑19.2 pp, a mere 21.0% of container vessels arrived at the port on time in July 2026. Outside of extreme pandemic‑era supply chain disruptions, schedule reliability in Shanghai has never dropped this low in 14 years of recorded data. Even ports with less drastic M/M drops operated at relatively lower levels of schedule reliability in July 2026. Singapore recorded reliability of just 43.2% after a ‑5.7 pp M/M drop. Similarly, Port Klang had 33.3% reliability, and Busan fell to 40.9%. With the region's busiest ports operating with more than half of their incoming vessels delayed, this backlog will naturally cascade through the maritime network, likely triggering a new wave of delays for critical head‑haul trade lanes in the coming months. --- 000 --- END OF PRESS RELEASE --- 000 --- All quotes can be attributed to: Alan Murphy, CEO, Sea-Intelligence. For more information, please contact: ia@sea-intelligence.com, am@sea‑intelligence.com, drs@sea-intelligence.com Download press release in PDF Download press release in Word Download Excel file with the above chart(s)
Suggested considerations
Derived from this Event's rating and type — prompts for your team to evaluate, not reported facts and not recommendations.
- Monitor for explicit timing evidence.
- Determine whether internal exposure warrants earlier investigation.
No explicit date was tightly bound to the matched event text, so no occurrence date is claimed.
Suggested Considerations
These are prompts for a procurement team to evaluate, generated from this Event's rating and type. They are not reported facts and not instructions — ProcIntel does not know your contracts, suppliers or exposure.
- Monitor for explicit timing evidence.
- Determine whether internal exposure warrants earlier investigation.
How to read this Event
- Source facts what the original source reported.
- ProcIntel assessment ProcIntel's own interpretation of those facts.
- Consideration a suggested question for your team — never a recommendation to act.
Source Facts
Only what the sources reported. Nothing on this page is ProcIntel's interpretation.
Recorded source facts
Global container vessel schedule reliability dropped to 56.4% in July 2026, a decline of ‑6.1 percentage points (pp) M/M. This is the sharpest single‑month decline since January 2021. Concurrently, the average delay for late vessel arrivals climbed to 6.06 days, an increase of 0.59 days M/M. This pronounced drop was driven primarily by congestion across major Asian ports. All 14 of the region's busiest ports experienced a decrease in on‑time vessel arrivals. As shown in Figure 1, these 14 major Asian ports saw severe schedule reliability degradation. Yantian took the hardest hit with schedule reliability plummeting ‑23.5 percentage points (pp) down to just 48.3%. Hong Kong dropped by ‑20.4 pp to 51.6%, and Ningbo saw reliability fall by ‑20.1 pp to 34.6%. The situation in Shanghai is particularly alarming. Following a steep decline of ‑19.2 pp, a mere 21.0% of container vessels arrived at the port on time in July 2026. Outside of extreme pandemic‑era supply chain disruptions, schedule reliability in Shanghai has never dropped this low in 14 years of recorded data. Even ports with less drastic M/M drops operated at relatively lower levels of schedule reliability in July 2026. Singapore recorded reliability of just 43.2% after a ‑5.7 pp M/M drop. Similarly, Port Klang had 33.3% reliability, and Busan fell to 40.9%. With the region's busiest ports operating with more than half of their incoming vessels delayed, this backlog will naturally cascade through the maritime network, likely triggering a new wave of delays for critical head‑haul trade lanes in the coming months. --- 000 --- END OF PRESS RELEASE --- 000 --- All quotes can be attributed to: Alan Murphy, CEO, Sea-Intelligence. For more information, please contact: ia@sea-intelligence.com, am@sea‑intelligence.com, drs@sea-intelligence.com Download press release in PDF Download press release in Word Download Excel file with the above chart(s)
This Event rests on a single report. It has not been corroborated by a second, independent source.
-
Sharp Reliability Drop from Asian Port Congestion
Global container vessel schedule reliability dropped to 56.4% in July 2026, a decline of ‑6.1 percentage points (pp) M/M. This is the sharpest single‑month decline since January 2021. Concurrently, the average delay for late vessel arrivals climbed to 6.06 days, an increase of 0.59 days M/M. This pronounced drop was driven primarily by congestion across major Asian ports. All 14 of the region's busiest ports experienced a decrease in on‑time vessel arrivals. As shown in Figure 1, these 14 major Asian ports saw severe schedule reliability degradation. Yantian took the hardest hit with schedule…
Open original report → sea-intelligence.com
Linked Signals
Every collected Signal that contributed to this Event, with how it was matched.
| Published | Headline | Source | Matched text | Extraction confidence | Method |
|---|---|---|---|---|---|
| 2nd September 2026 | Sharp Reliability Drop from Asian Port Congestion | Sea-Intelligence - Press Room | port congestion | 95.0 | high precision phrase |
Entities
The real-world companies, places, commodities and organisations this Event involves.
Locality 2
Region 2
Country 1
- Singapore reused entity extraction · confidence 75.0
Port 1
- Port Klang reused entity extraction · confidence 75.0
Full linking detail
| Entity | Type | Link method | Confidence | Source article |
|---|---|---|---|---|
| Singapore | Country | reused entity extraction | 75.0 | article |
| Ningbo | Locality | reused entity extraction | 75.0 | article |
| Shanghai | Locality | reused entity extraction | 75.0 | article |
| Port Klang | Port | reused entity extraction | 75.0 | article |
| Global | Region | reused entity extraction | 75.0 | article |
| Hong Kong | Region | reused entity extraction | 75.0 | article |
Why ProcIntel Rates This
Every rating below is produced from the logged facts by consistent, rules-based scoring — never from the tone or wording of the source.
Significance Significance estimates the potential procurement impact of the event, including factors such as supply, cost, operations, geography and strategic importance.
3 · Material- This type of disruption typically has a moderate procurement impact.
- Multiple geographies identified (3).
- No specific organisation linked yet — geographies, commodities and routes do not count as organisations.
- No procurement category has been determined for this event.
- Time horizon is not yet assessed for individual Events; a standard short-term assumption is used.
Confidence Confidence indicates how reliable ProcIntel considers the event assessment based on the quality, quantity and independence of the supporting evidence. It does not measure the event's importance.
2 · Low- Reported only by secondary sources so far — no primary/official confirmation yet.
- Reported by a single source so far — not yet independently corroborated.
- Some key facts (e.g. exact date) are still missing or unconfirmed.
- Evidence was last updated within the last month.
Urgency How soon the evidence already identified for this event suggests action may be needed. Unknown means no sufficiently explicit or quantified timing evidence has been identified -- ProcIntel never infers a timeframe where the evidence does not support one.
UnknownTiming not established. No sufficiently explicit or quantified timing evidence has been identified. Procintel has not inferred urgency where timing evidence is insufficient.
Impact Direction Whether the procurement impact of this development is assessed as negative, positive, or neutral/mixed.
NegativeProvisional default — not yet reviewed.