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China’s CXMT Rides AI Boom to Record Revenue Ahead of IPO

Dong Cao, Yuan Gao
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⚡ Quantum Brief
ChangXin Memory Technologies (CXMT) reported record 2025 revenue of $8 billion, more than doubling its prior-year earnings, fueled by surging demand for AI and data center memory chips. The Chinese chipmaker’s 130% revenue growth to 55 billion yuan ($8B) stems from a global memory chip shortage, positioning it as a key player in the AI-driven semiconductor market. CXMT’s financial surge comes ahead of its highly anticipated domestic IPO, one of 2026’s largest, bolstering China’s push for semiconductor self-sufficiency amid geopolitical tensions. Like SK Hynix, CXMT capitalizes on high-margin HBM (High Bandwidth Memory) chips critical for AI, challenging South Korean and U.S. dominance in advanced memory production. The company’s rapid expansion reflects China’s strategic focus on reducing reliance on foreign chip suppliers while meeting escalating AI infrastructure demands.
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Connecting decision makers to a dynamic network of information, people and ideas, Bloomberg quickly and accurately delivers business and financial information, news and insight around the worldAmericas+1 212 318 2000EMEA+44 20 7330 7500Asia Pacific+65 6212 1000Connecting decision makers to a dynamic network of information, people and ideas, Bloomberg quickly and accurately delivers business and financial information, news and insight around the worldAmericas+1 212 318 2000EMEA+44 20 7330 7500Asia Pacific+65 6212 1000The AI Race:ChangXin Memory Technologies Inc. more than doubled revenue to $8 billion in 2025, giving the strategically important Chinese chipmaker a major boost ahead of one of this year’s biggest domestic IPOs.Like rivals such as South Korea’s SK Hynix Inc., the Chinese firm is riding surging prices for the storage chips crucial to AI development and data centers. A global shortage of memory chips propelled its revenue about 130% higher to more than 55 billion yuan ($8 billion) in 2025, people familiar with the matter said, asking not to be identified because the matter is private.

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Source: Bloomberg Technology

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