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OCTOBER 2025



        This was the foundation for their world-leading                Strengthening the Governance and Financial
        semiconductor industry today. Taiwan exported about            Outlay of the R&D and Innovation System
        US$165 billion worth of semiconductors in 2024. Taiwan
        spends 3.0 per cent of its GDP on R&D compared to India’s   India is aware of its underinvestment in R&D. The immediate
        0.6 per cent.
                                                               focus should be to push gross domestic expenditure on
                                                               research and development (GERD) as a percentage of GDP
        Nor is this transformation unique to one geography;    from 0.6 per cent to at least 3.0 per cent. The industry should
        mission-driven programs have repeatedly created        take the lead in doing so. The Government of India has
        spillovers that redefine entire industries. Perhaps the most   introduced the Research, Development, and Innovation (RDI)
        exemplary R&D project is the ARPANET project of ARPA   Scheme, a significant initiative with a corpus of Rs 1 trillion
        (Advanced Research Projects Agency), which was an      aimed at catalysing private sector investment in research and
        organization in the US’s Defense Department. ARPANET   development. The scheme is designed to position India as a
        exists today as the Internet, the technology that has   global leader in innovation by fostering a robust ecosystem for
        impacted the world like no other in the 20th century. The   cutting-edge research in strategic and sunrise sectors. Our
        various spin-offs over the decades from this R&D project   recent mission-mode programs, like the National Mission on
        are practically all the information and communications   Interdisciplinary Cyber-Physical Systems (NM-ICPS) with
        technologies we use today, and the USA still has the pole   funding of Rs 37 billion, the National Quantum Mission (NQM)
        position in this domain.                               with funding of Rs 60 billion, and IndiaAI with funding of Rs
                                                               103 billion, are examples of well-funded national programmes
        The lessons from these examples are clear. India must use   focused on translational research.
        the power of a virtuous cycle – of R&D, spin-offs, and
        wealth creation – to develop new domains and           Funding and missions set the stage, but outcomes depend on
        technologies that can significantly contribute to our   what happens next – how quickly ideas traverse the last mile
        national economy by making us more self-sufficient in   from lab to market.
        core technologies, creating jobs, and creating wealth.


        We have done this in the past. India used to have a            Nurturing the Capability for
        significant mortality rate of children under five dying due    Translational R&D
        to rotavirus infection. India’s first indigenous vaccine is
        Rotavac, a rotavirus vaccine that was developed using a   To turn ambition into adoption, India must strengthen the
        live rotavirus strain isolated from AIIMS (All India Institute   translational machinery that connects researchers (from
        of Medical Sciences) and productized by Bharat Biotech. It   higher education institutions and labs), startups, MSMEs, and
        costs US$1 per dose in India compared to about US$15 for   industry around real-world problems. And create innovative
        imported vaccines. Rotavac is now part of India’s      products and solutions, especially in emerging technology and
        Universal Immunization Programme and has reduced       other deep-tech domains. The ecosystem should encourage
        rotavirus deaths significantly since its inclusion.    work on innovations through inter-organizational
                                                               collaborations in multidisciplinary technologies to solve
                                                               challenging real-life problems. Equally crucial is improving the
        Rotavac proves India can convert deep science into
        affordable impact; the imperative now is to make such   ease of doing research so scientists spend more time on
        outcomes systematic rather than exceptional. Important   science than on paperwork.
        aspects that require our immediate attention are to
        strengthen the governance and funding for Indian R&D, to   Organizations like the Biotechnology Industry Research
        enhance our capability for translational R&D, support   Assistance Council (BIRAC), Innovations for Defence
        MSMEs to absorb latest technologies, and government    Excellence (iDEX), etc. are at the forefront of leading our
        becoming an anchor customer for translational R&D.     efforts in translational R&D.
                                                               There are also sustained development programmes for
                                                               building foundational capability, offered by organizations like
          India must harness the power of                      the Gopalakrishnan Deshpande Foundation (GDC) funded by
          a virtuous cycle—combining                           science philanthropists. GDC has partnered with over 100
          robust R&D, technology spin-offs,                    universities, research labs, and incubators across India to
                                                               develop the entrepreneurial quotient by training over 1,700
          and wealth creation—to                               researchers and entrepreneurs and nurturing over 450
          accelerate innovation, foster new                    deep-tech startups. Anusandhan National Research
          industries, and build leadership in                  Foundation’s (ANRF) AI-for-Science initiative focuses on using
          emerging domains and advanced                        AI to model scientific equations in physics, chemistry, and
                                                               biology. This is expected to drastically shorten the time it
          technologies                                         takes to translate theory into practice in scientific domains.




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