Electronics Supply Chains Splitting Between China and U.S.
By Alan Patterson, EETimes (August 19, 2020)
Taipei – Foxconn, the world’s largest contract manufacturer, says it plans to move more of its production outside China under the impact of the trade war between the world’s two largest economies.
The announcement last week by the company that employs more than a million people in China assembling iPhones for Apple, servers for Dell and electronic games for Nintendo reflects a trend that’s been gaining pace this year.
China’s “days as the world’s factory are done,” Foxconn Chairman Young Liu said at a Taipei event to announce the company’s quarterly results on August 12. “No matter whether it’s India, Southeast Asia or the Americas, there will be a manufacturing ecosystem in each.”
Taiwanese electronics manufacturers such as Foxconn, Quanta and Pegatron are leading a migration of production from China to new factories in Taiwan, Vietnam and India to cut costs and avoid U.S. tariffs while also addressing concerns surrounding security and intellectual property.
![]() |
E-mail This Article | ![]() |
![]() |
Printer-Friendly Page |
Related News
Breaking News
- intoPIX Powers Ikegami's New IPX-100 with JPEG XS for Seamless & Low-Latency IP Production
- Tower Semiconductor and Alcyon Photonics Announce Collaboration to Accelerate Integrated Photonics Innovation
- Qualcomm initiates global anti-trust complaint about Arm
- EnSilica Agrees $18m 7 Year Design and Supply ASIC Contract
- SiliconIntervention Announces Availability of Silicon Based Fractal-D Audio Amplifier Evaluation Board
Most Popular
- Qualcomm initiates global anti-trust complaint about Arm
- Siemens acquires Altair to create most complete AI-powered portfolio of industrial software
- Alphawave Semi Reveals Suite of Optoelectronics Silicon Products addressing Hyperscaler Datacenter and AI Interconnect Market
- EnSilica Agrees $18m 7 Year Design and Supply ASIC Contract
- Rapidus Announces Strategic Partnership with Quest Global to Enable Advanced 2nm Solutions for the AI Chip Era