The Chemical Connection: Common Misconceptions in Wet Processing
It’s Only Common Sense: Selling to Engineers
American Made Advocacy: America, It’s Time to Reclaim Manufacturing Leadership
Worldwide Silicon Wafer Shipments Increase 2% Year-on-Year in Q1 2025
April 30, 2025 | SEMIEstimated reading time: 1 minute
Worldwide silicon wafer shipments increased 2.2% year-on-year (YoY) to 2,896 million square inches (MSI) from the 2,834 MSI recorded during the same quarter of 2024, the SEMI Silicon Manufacturers Group (SMG) reported in its quarterly analysis of the silicon wafer industry. Sequentially, shipments contracted 9.0% quarter-over-quarter from the 3,182 MSI recorded during the fourth quarter of last year impacted, primarily, by seasonality and accumulated inventory levels throughout the supply chain.
Q1 2025 silicon shipments indicated a 6% YoY growth in 300mm but showed a decline in 200mm and below wafer sizes,” said Lee Chungwei (李崇偉), Chairman of SEMI SMG and Vice President and Chief Auditor at GlobalWafers. “Despite an incremental increase in 300mm wafer shipments, demand for legacy devices remains weak, with inventory adjustments also contributing to a slowdown in shipments.”
Data cited in this release include polished silicon wafers, including those used as virgin test wafers, as well as epitaxial silicon wafers, and non-polished silicon wafers shipped by the wafer manufacturers to end users.
Silicon wafers are the fundamental building material for the majority of semiconductors, which are vital components of all electronic devices. The highly engineered thin disks are produced in diameters of up to 300mm and serve as the substrate material on which most semiconductors are fabricated.
The SMG is a sub-committee of the SEMI Electronic Materials Group (EMG) and is open to SEMI members involved in manufacturing polycrystalline silicon, monocrystalline silicon or silicon wafers (e.g., as cut, polished, epi). The SMG facilitates collective efforts on issues related to the silicon industry including the development of market information and statistics about the silicon industry and the semiconductor market.
Share on:
Suggested Items
2024 Global Semiconductor Materials Market Posts $67.5 Billion in Revenue
04/29/2025 | SEMIGlobal semiconductor materials market revenue increased 3.8% to $67.5 billion in 2024, SEMI, the global industry association representing the electronics design and manufacturing supply chain, reported in its Materials Market Data Subscription (MMDS).
Real Time with... IPC APEX EXPO: Silicon Geometry's Signal Integrity Impact on PCBs
04/24/2025 | Marcy LaRont, I-Connect007At IPC APEX EXPO 2025, Kris Moyer addressed the importance of understanding the impact of silicon geometry reduction on signal integrity and PCB performance. Kris says signal integrity considerations are necessary for so many designs today, regardless of clock frequency. He discusses valuable insights from attendees regarding embedded resistor technology and the effects of radiation on smaller silicon features in aerospace applications.
Alphawave Semi Delivers Foundational AI Platform IP for Scale-Up and Scale-Out Networks
04/23/2025 | BUSINESS WIREAlphawave Semi, a global leader in high-speed connectivity and compute silicon for the world’s technology infrastructure, bolsters its leadership in foundational AI silicon connectivity subsystems through silicon proven chiplets and IP subsystems on advanced process nodes and package types. This is set to be showcased at the TSMC 2025 North America Technology Symposium.
STMicroelectronics Details Company-Wide Program to Reshape Manufacturing Footprint and Resize Global Cost Base
04/14/2025 | STMicroelectronicsSTMicroelectronics N.V., a global semiconductor leader serving customers across the spectrum of electronics applications, disclosed further elements of its program to reshape its global manufacturing footprint.
IEEE Study Leverages Silicon Photonics for Scalable and Sustainable AI Hardware
04/14/2025 | PRNewswireThe emergence of AI has profoundly transformed numerous industries. Driven by deep learning technology and Big Data, AI requires significant processing power for training its models. While the existing AI infrastructure relies on graphical processing units (GPUs), the substantial processing demands and energy expenses associated with its operation remain key challenges.