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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 & TechnologyApproach
- 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.
- 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.
- 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.
- Deep tech requires specialized research infrastructure, such as supercomputing facilities and advanced testing labs.
- 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.
- Emerging sectors like drones, AI, and biotechnology often face unclear or evolving regulatory frameworks.
- 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.
- Filing and defending patents remains expensive and time-consuming.
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.
- Create national open innovation platforms to connect startups, corporates, and academia. For instance:
- 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.
- Allocate dedicated resources to transition academic research into market-ready products. For example:
- 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.
- Forge partnerships with global hubs like Silicon Valley, Tel Aviv, and Singapore through:
- 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.
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