In India, IoT and vision-focused microcontrollers are expanding across various sectors. In smart homes, MCUs control everything from lighting to security cameras that can recognize faces and detect unusual activity. In they power wearables that monitor vital signs and alert users to potential health risks. In manufacturing, these controllers automate quality checks on assembly lines, reducing human intervention. Finally, in retail, they drive smarter shelves, automated checkouts, and real-time inventory management. The rise of indigenous chip design and semiconductor manufacturing will allow India to develop tailored solutions for these key industries. As India invests in deeptech, these solutions pave the way for homegrown systems. This reduces reliance on foreign technology while fostering local innovation.
Experts, including semiconductor engineers, deeptech entrepreneurs, and academics, are recognizing the breakthroughs in heterogeneous architectures, , and neuromorphic processing. However, the focus is now shifting towards bridging the gap between these advancements and their large-scale implementation. India’s deeptech sector must build the necessary infrastructure, talent pool, and investment to scale these technologies nationwide. With careful planning, the result will be deeper innovation in semiconductor design, focusing on indigenous solutions and self-reliance. This will help strengthen India’s tech ecosystem and position the country as a global hub for AI, IoT, and deeptech.
