As AI adoption accelerates globally, the spotlight is shifting beyond software to the hardware powering it. India is rapidly strengthening its AI hardware ecosystem through semiconductor investments, GPU infrastructure, and government-backed initiatives aimed at building long-term technological self-reliance.
In this edition, the newsletter focuses on India’s AI hardware market, highlighting key trends, government initiatives, and the factors driving its rapid growth and self-reliance
India is quickly emerging as a strong player in the global AI hardware space, supported by a fast-growing semiconductor ecosystem and rising local manufacturing. The AI hardware market is expected to grow from $2B in 2026 to $10B by 2035.
As AI expands across sectors, the need for powerful hardware like GPUs, TPUs, ASICs, and custom accelerators is soaring. India’s expanding data center ecosystem, government-led initiatives, and investments from companies such as Netweb reflect the country’s push toward technological sovereignty, positioning it to become a major hub for AI-driven hardware innovation
India’s medical tourism is accelerating due to 60–80% lower treatment costs, stronger quality standards (39+ JCI hospitals), and easier access through the e-Medical Visa, with Bangladesh continuing as the largest source market. At the same time, India’s healthcare system faces a major capacity gap, including a 2.4M bed shortfall and uneven bed distribution, creating strong need for expansion. Despite this demand, funding has cooled, with overall healthcare funding dropping to US$1.3B (2025) and rounds reducing sharply, indicating clear whitespace for scalable hospital and infrastructure growth, especially in Tier-2/3 cities.
India is rapidly advancing AI innovation by expanding compute access, improving affordability, and strengthening domestic capabilities. Under the IndiaAI Mission (2024–2029), over INR 10,300 crore has been allocated to enable access to up to 34,381 GPUs through a shared national compute infrastructure. High-performance computing is being made more accessible with subsidized GPU access at ~INR 100 per hour vs. $2.5–$3 globally, lowering entry barriers for startups and researchers. Additionally, ~10 companies have been empaneled by the Government of India (e.g., Yotta Data Services, E2E Networks, etc.) to supply GPUs, enhancing compute availability, while ongoing efforts to develop indigenous AI hardware aim to reduce import dependence and support a self-reliant AI and semiconductor ecosystem