Micron to scale up India chip assembly multifold

Micron Technology plans to significantly expand its semiconductor assembly and testing operations in Sanand, Gujarat, next year, according to CEO Sanjay Mehrotra. This expansion is part of India's semiconductor policy, which aims to move the country from planning to commercial production, Mehrotra said during the SEMICON India 2026 event.

The India Semiconductor Mission and its second phase have provided the industry with a foundation that was previously lacking, while Micron's growing operations are creating jobs and integrating India into its global memory-chip supply chain.

Mehrotra emphasized that potential does not ship products, highlighting the difference between talking about India's semiconductor potential and seeing execution. Micron has been present in India for seven years, employing over 7,000 people directly and supporting tens of thousands of additional jobs across the value chain. The company began commercial production at its Sanand facility in early 2024, marking the first semiconductor assembly and test facility in India and the first project under the India semiconductor mission.

Currently, Micron's production capacity at Sanand exceeds the memory required for India's entire laptop market, Mehrotra stated. This year, the company plans to assemble and test tens of millions of chips at Sanand, with hundreds of billions of chips expected next year. Micron designs memory chips in Bengaluru and Hyderabad, assembles them in Gujarat, and ships them to customers worldwide, Mehrotra added.

The company's engineering in India dates back long before the factory construction, with India's teams now a core part of Micron's global technology network and contributing to over 3,700 patents, inventions, and disclosures.

The expansion in Sanand comes as demand for memory chips surges due to the rise of artificial intelligence (AI), with Micron recording a staggering 1,400 percent growth in its business. Mehrotra attributed this growth to AI's foundational role, emphasizing that AI begins with data and requires memory and storage for models to scale and generate answers.

He noted that as models grow larger, the demand for memory increases exponentially, and Micron is well-positioned to build faster, denser, and more power-efficient memory to meet these growing demands.