KLA Lifts 2026 Chip Equipment Forecast to $150 Billion on Global AI Demand

KLA raised its September-quarter revenue guidance to $4 billion, citing surging global demand for AI chip manufacturing equipment.¹ The California-based supplier lifted its 2026 wafer fabrication equipment market forecast to the low-billions range.¹

KLA also raised its advanced packaging process control revenue target to billions.¹ These tools inspect the multi-chip assemblies used in AI accelerators and high-bandwidth memory, components sourced through supply chains spanning the US, Taiwan, South Korea and Japan.¹ All three revisions came within one reporting cycle, alongside a 10-for-1 stock split.¹

The guidance increase signals equipment makers are booking orders tied directly to AI accelerator fabrication capacity worldwide.¹ Wafer equipment spending funds tools that produce the logic and memory chips powering AI data centers from Virginia to Singapore.¹ A billions 2026 market outlook would extend a run of capital-spending growth across the international chip supply chain.¹

The increases point to sustained order strength for semiconductor capital equipment over the next one to two quarters.¹ Rising AI chip fabrication demand is the stated driver.¹ Peer equipment makers, including US-based Applied Materials and Lam Research and the Netherlands' ASML, could report similar guidance increases as the same demand flows through their order books.¹

Advanced packaging is a bottleneck step in AI chip production, connecting processors to HBM stacks largely manufactured by South Korean and Taiwanese memory makers.¹ KLA's billions target signals equipment makers expect packaging capacity, not just wafer fabrication, to expand alongside AI accelerator output.¹ Combined with the wider forecast, this suggests capacity expansion is underway across multiple production stages simultaneously.¹

The 10-for-1 stock split does not change KLA's underlying business but typically follows sustained share price gains.¹ Together, the guidance raises signal equipment suppliers worldwide are positioning for continued AI-driven capital expenditure into next year.¹