Taiwan's September Export Orders Hit Record High, Driven by AI Demand with Two Consecutive Months Above $100 Billion

nashnova research
今天发布阅读约 6 分钟

Taiwan's September export orders reached $114.21 billion, up 62.4% year-on-year and topping the $100 billion mark for a second straight month; AI and high-performance computing demand powered the surge, with full-year orders on track to hit $1.1 trillion.

01

How big is $114.21 billion?

September export orders hit $114.21 billion, a record, with year-on-year growth of 62.4% — beating the consensus forecast of 58.7%.
August was the first month ever above $100 billion ($103 billion). September broke the mark again and by a wider margin. This means → the jump is not a one-off spike but an accelerating trend.
The streak now stands at 20 consecutive months of year-on-year gains. In plain terms = Taiwan's tech exports have grown every single month for nearly two years.
02

Who is ordering — and what are they buying?

Telecom-product orders rose 87.3% year-on-year; electronics orders rose 71.0% — these two categories are the main engines.
Orders from the U.S. grew 79.4%, Europe 68.0%, mainland China 48.5%, and Japan 35.5%.
This means → demand is not driven by a single market. Every major region is scaling up purchases simultaneously, signaling broad-based appetite.
03

Why do Taiwan's order numbers matter so much?

Taiwan is home to TSMC (台積電), the world's largest contract chipmaker, and a dense cluster of tech suppliers.
The Ministry of Economic Affairs attributed the growth to sustained expansion in AI, high-performance computing, and cloud-service demand.
In plain terms = Taiwan's export-order data functions as a thermometer for global tech demand — when it rises, the world's hunger for chips and servers is still growing.
04

Can full-year orders really reach $1.1 trillion?

The ministry forecasts October order growth of 62%–67% year-on-year, projecting full-year orders at $1.1 trillion.
It also flagged that geopolitical risks and trade-policy uncertainty continue to weigh on the global economy.
This reflects one pivotal variable — whether the AI capital-expenditure cycle keeps delivering. If companies keep pouring money into AI infrastructure, the order pipeline holds; if spending slows, the forecast needs a haircut.

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