Why in News?
As India launches ambitious national missions in Artificial Intelligence (AI), Semiconductors, Quantum Computing, and Space Technologies, a critical debate has emerged regarding its innovation ecosystem. While India boasts a rich history of scientific invention and early technological vision, it has historically struggled to bridge the "Valley of Death" - the critical transition from indigenous prototypes to globally dominant, commercialized industries.
What Bottlenecks Limit India's Ability to Scale Innovations Globally?
Stagnant R&D Expenditure
- India's Gross Expenditure on R&D (GERD) has stagnated at roughly 0.64% of GDP
- Compare this to global average of ~1.7% and advanced economies (US/China) spending over 2.5%
- This limits the scale of research output and commercialization potential
Skewed Funding Pattern
- In leading innovative nations, the private sector drives over 70% of R&D
- Despite policy interventions (tax incentives, ANRF establishment), India's R&D burden remains disproportionately skewed toward the public sector
- Scientific innovations often remain siloed within government research institutions, failing to translate into commercial viability
The "Missing Middle" in Manufacturing
- India's industrial landscape comprises massive conglomerates and tiny informal MSMEs
- Glaring lack of mid-sized, deep-tech firms capable of building supply chains for complex innovations
Weak Industry-Academia Linkage
- Scientific excellence in India often stays within academic and public institutions (CSIR, DRDO labs)
- Lacks transition into large industrial ecosystems
Inadequate Venture Capital for Deep Tech
- India has a vibrant VC ecosystem for software and consumer internet platforms
- "Patient capital" required for hardware, deep-tech, and capital goods remains scarce
Intellectual Property (IP) Deficit
- India excels in service delivery and process engineering
- Lags in originating and owning critical Standard Essential Patents (SEPs) in frontier technologies
Historical Trajectory of Tech Innovation in India
"Stopping Too Soon" Syndrome
- Success was historically measured by achieving indigenous capability rather than global commercial scale
Case Studies of Limited Success
Semiconductor Complex Limited (SCL):
- Established in the 1970s, India recognized the importance of integrated circuits early
- Failed due to limited capital, sub-optimal manufacturing scale, inward-looking policies
- Could not build a global ecosystem like Taiwan's TSMC
Electronics Corporation of India Limited (ECIL):
- Set up in 1967 to counter technology embargoes
- Built indigenous computers and control systems
- Focus remained restricted to strategic state requirements rather than globally competitive commercial products
The Simputer (1998):
- Indigenous handheld device that anticipated modern smartphone features
- Failed to scale due to immature ecosystem (venture capital, component supply chains, software platforms)
- Contrast: Apple leveraged similar concepts by building a robust ecosystem
Models of Success
Pharmaceutical Sector:
- Leveraged process innovation and strict export orientation
- Scaled to become the "Pharmacy of the World" and leading global vaccine manufacturer
Digital Public Infrastructure (DPI):
- Platforms like Aadhaar and UPI were designed for population scale from day one
- Proves that scale creates massive ecosystems, which drive global leadership
PARAM Supercomputers:
- Sustained public investment with clear commercial performance goals
- Built globally recognized indigenous capabilities
Space Sector (ISRO):
- Frugal engineering and commercial foresight
- Transformed from domestic agency to global commercial launch provider
- Deployed hundreds of foreign satellites via PSLV and LVM3 fleets
- Achieved milestones like Mars Orbiter Mission at a fraction of global costs
India's Opportunities in Emerging Technologies
| Sector | Existing Strengths | Opportunities to Achieve Global Scale |
|---|---|---|
| Artificial Intelligence | Large AI talent pool, Digital Public Infrastructure, vast multilingual datasets | Sovereign AI, low-cost energy-efficient models, domain-specific AI solutions |
| Quantum Computing | Strong research ecosystem, National Quantum Mission | Affordable quantum infrastructure, applications in drug discovery, cybersecurity |
| Semiconductors | 20% of global VLSI design workforce, India Semiconductor Mission | Semiconductor fabs, ATMP, chip design, indigenous semiconductor IP |
| Space Technologies | Chandrayaan, Mangalyaan success | Space-based data centres, orbital computing, quantum communication, commercial launches |
| Digital Public Infrastructure | Aadhaar, UPI, DigiLocker, ONDC, CoWIN | Export DPI model globally, interoperable digital public goods |
| Biotechnology | Global leadership in pharmaceuticals and vaccines | Genomics, precision medicine, synthetic biology, bio-manufacturing |
| Advanced Manufacturing | Strong engineering base, PLI schemes | Industry 4.0, robotics, additive manufacturing, smart manufacturing |
| Green Technologies | Leadership in renewable energy, green hydrogen | Global hub for Green Hydrogen, battery storage, carbon capture, electric mobility |
| Cybersecurity | Growing digital economy, strong IT services | Indigenous cybersecurity products, post-quantum cryptography, secure cloud infrastructure |
Measures Needed to Scale India's Emerging Technologies
Bridge the "Valley of Death"
- India improved from 81st (2015) to 38th (2025) in Global Innovation Index
- Expand Research, Development and Innovation (RDI) Scheme
- Establish Translational Research Centres with shared prototyping and testing facilities
- Economic Survey 2025-26 recommendation for deep-tech startup support
Reform Academic R&D
- Shift from "Publish or Perish" to "Patent & Produce" ecosystem
- Implement robust statutory framework akin to US Bayh-Dole Act (1980)
- Allow Indian universities to own, patent, and monetize federally-funded inventions
Provide Patient & Blended Finance
- Enable Anusandhan National Research Foundation (ANRF) to deploy long-term, high-risk capital
- Mirror Israel's Yozma initiative from the 1990s that created Israeli tech-startup ecosystem
Make Government the Anchor Customer
- Expand iDEX model beyond defence
- Mandate 5-10% public procurement quota for indigenous deep-tech startups
- Follow NASA-SpaceX procurement model for sectors like railways, healthcare, smart cities
Lead Global Technology Standards
- Support Indian firms in International Telecommunication Union (ITU), 3GPP, ISO
- Secure Standard Essential Patents (SEPs) in 6G, AI, Web 3.0
- Transform India from net importer to net exporter of technology IP
Institutionalizing Brain Circulation
- Leverage diaspora rather than trying to stop emigration
- Scale schemes like VAJRA and Ramanujan Fellowship
- Bring NRI scientists back as visiting professors, investors, startup mentors
- Mirror Taiwan's utilization of Silicon Valley diaspora to build Hsinchu Science Park
Regulatory and Diplomatic Measures
- Implement Regulatory Sandboxes for emerging tech (drones, AI, crypto)
- Leverage US-India iCET (Initiative on Critical and Emerging Technology) and Quad
- Expand KABIL mandate for critical mineral acquisition in Africa, Australia, South America
Key Schemes and Missions
- India Semiconductor Mission (ISM): Promotes semiconductor fabrication, chip design, ATMP facilities
- PARAM Program: Indigenous supercomputing capability
- National Quantum Mission: Advancing quantum research
- ONDC (Open Network for Digital Commerce): Democratizing digital commerce
- ANRF (Anusandhan National Research Foundation): Industry-academia collaboration
- RDI Scheme: Supporting research, prototyping, commercialisation
- PLI (Production Linked Incentive): Boosting manufacturing
- iDEX: Innovation in Defence and Extremity
Constitutional/Policy Provisions
- Bayh-Dole Act (US, 1980): Model for technology transfer from academia
- Yozma Initiative (Israel): Model for venture capital ecosystem development
- Viksit Bharat 2047: National development goal guiding technology ambitions
Conclusion
The countries that will lead the 21st century will not necessarily be those that invent first, but those that scale best. As India marches towards Viksit Bharat 2047, it must evolve its technological paradigm from mere self-reliance to aggressive global ambition, ensuring that Indian ingenuity is backed by robust ecosystems capable of conquering global markets.