North America-based manufacturers of semiconductor equipment posted $2.11 billion in billings worldwide in October 2019 (three-month average basis), according to the October Equipment Market Data Subscription (EMDS) Billings Report published today by SEMI. The billings figure is 7.7 percent higher than the final September 2019 level of $1.96 billion, and is 3.9 percent higher than the October 2018 billings level of $2.03 billion.

 

“Monthly billings of North American equipment manufacturers registered their first year-over-year increase since October 2018 and are at their highest level since December of last year,” said Ajit Manocha, president and CEO of SEMI. “Equipment billings are accelerating on the strength of memory inventory drawdowns and foundry investments in leading-edge equipment.”

 

The SEMI Billings report uses three-month moving averages of worldwide billings for North American-based semiconductor equipment manufacturers. Billings figures are in millions of U.S. dollars.

 

Source: SEMI (www.semi.org), November 2019

 

SEMI publishes a monthly North American Billings report and issues the Worldwide Semiconductor Equipment Market Statistics (WWSEMS) report in collaboration with the Semiconductor Equipment Association of Japan (SEAJ). The WWSEMS report currently reports billings by 24 equipment segments and by seven end market regions. SEMI also has a long history of tracking semiconductor industry fab investments in detail on a company-by-company and fab-by-fab basis in its World Fab Forecast and SEMI FabView databases. These powerful tools provide access to spending forecasts, capacity ramp, technology transitions, and other information for over 1,000 fabs worldwide. For an overview of available SEMI market data, please visit www.semi.org/en/MarketInfo.

 

The data contained in this release were compiled by David Powell, Inc., an independent financial services firm, without audit, from data submitted directly by the participants. SEMI and David Powell, Inc. assume no responsibility for the accuracy of the underlying data.