Noida | IAS GS Foundation Course | date 09 January | 6 PM Call Us
This just in:

State PCS



Mains Practice Questions

  • Q. "Despite having a strong IT services sector, India lags in developing deep-tech capabilities." Analyze the structural and institutional factors behind this gap and suggest measures to build a robust innovation ecosystem. (250 words)

    22 Jan, 2025 GS Paper 3 Science & Technology

    Approach

    • Introduce the answer by briefing the significance of IT-Sector and highlighting that advancements, the deep tech sector still lags behind
    • Give Structural and Institutional Factors Behind the Gap
    • Suggest Measures to Build a Robust Innovation Ecosystem
    • Conclude suitably.

    Introduction

    India's IT services sector has positioned the country as a global tech leader, contributing significantly to GDP and exports.

    • However, India's performance in the deep-tech domain—characterized by cutting-edge technologies like AI, robotics, and biotechnology—remains suboptimal.

    Body

    Structural and Institutional Factors Behind the Gap:

    • Long Gestation Period and Funding Mismatch
      • Deep tech ventures involve long R&D cycles and high capital requirements, often spanning 7–10 years, unlike the quicker returns associated with IT services.
        • Venture capitalists (VCs) typically prefer shorter investment horizons of 3–5 years
        • In 2023, Indian deep-tech startups saw a 77% drop in funding, with global investors showing limited interest.
    • Talent Deficit and Brain Drain
      • India produces over 1.5 million engineering graduates annually, but only 3% possess new-age technological skills in areas like AI and quantum computing.
      • Brain drain to global innovation hubs like Silicon Valley and Canada exacerbates this talent gap, hindering domestic R&D capabilities.
    • Inadequate Infrastructure
      • Deep tech requires specialized research infrastructure, such as supercomputing facilities and advanced testing labs.
        • However, India has less than 2% of global computer infrastructure, far behind the US and China, which dominate with 60% of resources.
      • The slow pace of infrastructure development, despite initiatives like the National Supercomputing Mission, increases costs for startups.
    • Regulatory Ambiguity
      • Emerging sectors like drones, AI, and biotechnology often face unclear or evolving regulatory frameworks.
        • For instance, India’s drone policy evolved significantly between 2018 and 2021, delaying the adoption of drone technologies.
      • Lack of regulatory sandboxes further impedes the experimentation and scaling of innovations.
    • Intellectual Property Challenges
      • Filing and defending patents remains expensive and time-consuming.
        • India's patent grant process averages 58 months, compared to 23 months in the US.

    Measures to Build a Robust Innovation Ecosystem:

    • Deep-Tech Clusters
      • Establish dedicated clusters for deep tech in major cities like Bengaluru (AI and robotics) and Hyderabad (aerospace and defense).
      • Provide tax incentives and subsidized infrastructure to encourage collaboration among startups, research institutions, and corporates.
    • Deep-Tech Focused Venture Funds
      • Launch government-backed venture funds with longer investment horizons (7–10 years) tailored to deep tech.
      • Expand initiatives like the ₹10,000 crore Fund of Funds for Startups to allocate a percentage specifically to deep tech projects.
      • Collaborate with private VC firms through blended finance models to de-risk investments.
    • Regulatory Sandboxes
      • Implement sector-specific regulatory sandboxes for AI, biotechnology, quantum computing, and autonomous systems.
      • For instance, an autonomous vehicle sandbox could allow companies like Ather Energy to test innovations under controlled conditions, accelerating regulatory clarity.
    • Strengthening Talent Pool
      • Partner with IITs and private institutions to introduce specialized deep-tech curricula and industry-sponsored PhD programs in advanced fields like quantum computing and energy storage.
      • Launch national scholarships for deep-tech entrepreneurs to incentivize the retention of skilled talent.
    • Open Innovation Platforms
      • Create national open innovation platforms to connect startups, corporates, and academia. For instance:
        • An AI for Healthcare platform could link startups like Niramai with hospitals to co-develop solutions for cancer detection.
    • Deep-Tech Commercialization Fund
      • Allocate dedicated resources to transition academic research into market-ready products. For example:
        • A commercialization fund could support solid-state battery startups emerging from IISc Bangalore.
    • Global Alliances
      • Forge partnerships with global hubs like Silicon Valley, Tel Aviv, and Singapore through:
        • The Indo-Israel Bilateral Workshop on Quantum Technologies serves as a model for cross-border collaborations.
    • IP Ecosystem Strengthening
      • Simplify and expedite the patent filing process to reduce average grant time from 58 months to global standards (23 months).
      • Provide subsidies for global patent filing costs to make Indian startups more competitive internationally.

    Conclusion

    India's robust IT services sector and strong STEM foundation provide a promising base for deep-tech development. By implementing measures like specialized clusters, regulatory sandboxes, and global collaborations, India can position itself as a global leader in deep tech, driving solutions for grand challenges like climate change, healthcare, and sustainable development.

    To get PDF version, Please click on "Print PDF" button.

    Print PDF
close
SMS Alerts
Share Page
images-2
images-2