Semiconductor material and failure analysis services provider Materials Analysis Technology Inc (MA-tek, 閎康) yesterday said silicon photonic-related analysis services revenue would jump 50 percent this year, fueled by a major technology shift to optics-based packaging solutions for artificial intelligence (AI) data centers.
MA-tek said analysis services for optical communications and AI chips are two major growth drivers this year.
The company’s confidence is built on strong growth in its silicon photonic-related analysis revenue, which has more than doubled each year over the past three years since 2023.
Photo: Lisa Wang, Taipei Times
Last year alone, services for silicon photonic-related analysis contributed more than NT$200 million (US$6.26 million) to MA-tek’s total revenue, chairwoman Hsieh Yong-fen (謝詠芬) told reporters in Taipei yesterday.
The growth momentum is to extend into this year at an annual rate of 50 percent and also through next year and 2028, Hsieh said. That means that the silicon photonics-related analysis revenue made this year to 2028 could more than double last year’s amount, Hsieh said.
MA-tek has seen explosive demand for material analysis for epi wafers, which are foundation substrates for laser chips used in silicon photonics solutions, Hsieh said.
However, demand remained low for failure analysis and reliability analysis for silicon photonics modules and systems, she said.
That indicated that silicon photonics technology is still in the research-and-development stage and would not replace copper cables for data transmission in AI servers by 2028, as some industry leaders have claimed, she said.
Overall, MA-tek expects this year to be a year with “robust” growth.
Revenue is expected to grow by a double-digit percentage this year from NT$554 million last year, she said.
The company has clinched 11.55 percent annual growth in revenue in the first two months totaling NT$886 million, data showed. MA-tek counts the world’s major foundry services providers, semiconductor equipment suppliers and material suppliers as its customers.
Geographically, Japan and the US would outpace other regions in terms of revenue this year, she said.
In Japan, the government is giving its financial backing to the development of 1.4-nanometer technology, which MA-tek provides chip material analysis services and would provide failure analysis services exclusively later this year, she said.
Japan is expected to have a greater revenue contribution of 20 percent this year than 15 percent last year, she said.
MA-tek operates three labs in Hokkaido, Kumamoto and Nagoya in Japan.
The US market also shows rapid growth this year as MA-tek has received orders to provide analysis services for chips used in data centers and autonomous vehicles, Hsieh said.
The company aimed to increase revenue contribution from the US to more than 10 percent this year, from 8 percent last year, she said.
MA-tek is looking at the feasibility of setting up US labs this year due to customers’ requests, Hsieh said.
The company has been resistant to operate a US lab due to expensive operational costs as the construction and labor costs in the US are several times higher than in Taiwan, she said.
The company saw net profits dip 40.84 percent year-over-year to NT$407 million last year from NT$688 million in 2024. Earnings per share dropped to NT$6.10 from NT$10.39.
DAMAGE REPORT: Global central banks are assessing war-driven inflation risks as the law of unintended consequences careens around the world, spiking oil prices Central banks from Washington to London and from Jakarta to Taipei are about to make their first assessments of economic damage after more than two weeks of conflict between the US and Iran. Decisions this week encompassing every member of the G7 and eight of the world’s 10 most-traded currency jurisdictions are likely to confirm to investors that the specter of a new inflation shock is already worrying enough to prompt heightened caution. The US Federal Reserve is widely expected to do exactly what everyone anticipated weeks ahead of its March 17-18 policy gathering: hold rates steady. The narrative surrounding that
Taiwan Semiconductor Manufacturing Co’s (TSMC, 台積電) share of the global foundry market rose to almost 70 percent last year amid booming demand for artificial intelligence (AI), market information advisory firm TrendForce Corp (集邦科技) said on Thursday. The contract chipmaker posted US$122.54 billion in revenue, up 36.1 percent from a year earlier, accounting for 69.9 percent of the global market, TrendForce said. Its share was up from 64.4 percent in 2024, it said. TSMC’s closest rival, Samsung Electronics, was a distant second, posting US$12.63 billion in sales, down 3.9 percent from a year earlier, for a 7.2 percent share of the global market. In the
At a massive shipyard in North Vancouver, Canadian workers grind metal beams for a powerful new icebreaker crucial to cementing the country’s presence in the increasingly contested arctic. Icebreakers are specialized, expensive vessels able to navigate in the frozen far north. And “this is the crown jewel,” said Eddie Schehr, vice president of production at the Seaspan shipyard. For Canadian Prime Minister Mark Carney, who heads to Norway next Friday to observe arctic defense drills involving troops from 14 NATO states, Canada’s extreme north has emerged as a strategic priority. “Canada is and forever will be an Arctic nation,” he said ahead of
Chinese entrepreneur Frank Gao used to spend long hours running his social media accounts but now outsources the chore to artificial intelligence (AI) agent tool OpenClaw, which is taking China by storm despite official warnings over cybersecurity. OpenClaw, created in November by an Austrian coder, differs from bots such as ChatGPT because it can execute real-life tasks such as sending e-mails, organizing files or even booking flight tickets. “Since January, I’ve spent hours on the lobster every day,” Gao said in an interview, referring to OpenClaw’s red crustacean mascot. “We’re family.” After downloading OpenClaw, users connect it to artificial intelligence models of their