Forest Services
Introduction: India's Indigenous AI Drive in Defence
In 2023, the Indian government intensified efforts to develop homegrown artificial intelligence (AI) systems tailored for the defence sector. This initiative is led by the Ministry of Defence (MoD) in coordination with agencies like the Defence Research and Development Organisation (DRDO) and the Defence Innovation Organisation (DIO). The aim is to reduce import dependency, enhance strategic autonomy, and foster a self-reliant innovation ecosystem for defence technologies. This move aligns with the broader national agenda of Atmanirbhar Bharat and the Defence Procurement Procedure (DPP) 2020 that prioritizes indigenous technology development.
UPSC Relevance
- GS Paper 3: Science and Technology – AI applications in defence, indigenous technology development
- GS Paper 2: Polity – Defence Procurement Procedure, constitutional duties related to scientific temper (Article 51A)
- Essay: Technology and National Security, India’s Defence Modernisation
Legal and Policy Framework Governing Indigenous Defence AI
The constitutional mandate under Article 51A promotes scientific temper, which underpins the government’s push for indigenous AI. The Defence Procurement Procedure (DPP) 2020 explicitly emphasizes the ‘Make in India’ initiative, mandating preference for indigenous products in defence acquisitions. The Defence Acquisition Council (DAC) issues guidelines that prioritize domestic R&D outputs, including AI-enabled systems. Furthermore, the Information Technology Act, 2000 (Section 43A) mandates data protection standards, crucial for AI systems handling sensitive defence data. The NITI Aayog’s National AI Strategy (2018) provides a comprehensive policy framework for AI adoption, including defence-specific applications.
- Article 51A: Fundamental duty to develop scientific temper, relevant to AI innovation culture.
- DPP 2020: Preference for indigenous defence technologies, capital procurement linked to ‘Make in India’.
- DAC Guidelines: Prioritize domestic R&D, facilitate AI system approvals.
- IT Act 2000, Section 43A: Data protection obligations for AI systems.
- NITI Aayog AI Strategy: Defence AI adoption roadmap and ecosystem development.
Economic Dimensions: Budget, Market Size, and Investment
The defence budget for 2023-24 stands at approximately ₹5.94 lakh crore (~$80 billion), with about 25% allocated to capital expenditure focused on technology modernization, including AI systems (MoD Budget 2023-24). The Indian AI market is projected to grow at a CAGR of 20.2%, reaching $7.8 billion by 2025 (NASSCOM 2023). Defence AI is expected to constitute 15-20% of this market by 2030. The Defence Innovation Organisation (DIO) has earmarked ₹500 crore for AI-driven projects in 2023-24, supporting startups and indigenous R&D. Currently, import dependency on defence electronics and AI-enabled systems exceeds 60%, with a government target to reduce this below 30% by 2030 (Defence Ministry Annual Report 2023).
| Parameter | India (2023-24) | China (Projected 2025) |
|---|---|---|
| Defence Budget | ₹5.94 lakh crore (~$80 billion) | ~$250 billion |
| AI Market Size | $7.8 billion (projected 2025) | >$20 billion (projected 2025) |
| Defence AI Market Share | 15-20% of AI market by 2030 | ~30-40% of AI market |
| Import Dependency on Defence Electronics | >60%, targeted <30% by 2030 | <20% |
| Government AI R&D Funding | ₹500 crore (DIO 2023-24) | Significantly higher, integrated in Military-Civil Fusion policy |
Institutions Driving Indigenous Defence AI Development
The DRDO leads indigenous R&D, having launched over 50 AI-based projects since 2020, focusing on autonomous systems and cybersecurity (DRDO Annual Report 2023). The DIO acts as an innovation catalyst, engaging startups and academia to accelerate AI technology transition. NITI Aayog formulates AI policy and strategy, including defence applications. The Centre for Development of Advanced Computing (CDAC) provides critical AI research support. The All India Council for Technical Education (AICTE) promotes skill development in AI and defence technologies, addressing workforce gaps.
- DRDO: Indigenous AI R&D, autonomous systems, cybersecurity projects.
- DIO: Innovation facilitation, startup engagement, funding allocation.
- NITI Aayog: Policy formulation, AI strategy including defence use cases.
- CDAC: Advanced AI research and development support.
- AICTE: Skill development, AI education in defence technology.
Challenges in Indigenous Defence AI Ecosystem
Despite policy focus, India faces a shortage of skilled AI professionals with defence domain expertise, constraining innovation velocity. The absence of a unified regulatory framework for AI in defence leads to fragmented R&D efforts and delays in operational deployment. Import dependency remains high, reflecting gaps in domestic manufacturing and technology maturity. Coordination between civilian AI advancements and defence needs is suboptimal compared to models like China’s Military-Civil Fusion. These factors slow the transition from laboratory prototypes to battlefield-ready AI systems.
- Shortage of defence domain-skilled AI professionals.
- Lack of unified AI regulatory framework for defence applications.
- High import dependency (>60%) on AI-enabled defence electronics.
- Fragmented R&D and slow technology transition to operational use.
- Limited integration between civilian AI innovation and defence sector.
Comparative Perspective: India vs China in Defence AI
China’s Military-Civil Fusion policy integrates AI development across civilian and military sectors, enabling rapid deployment of AI-enabled autonomous drones, battlefield management, and decision support systems. Its defence AI market is projected to exceed $20 billion by 2025, significantly outpacing India’s current scale. China’s integrated approach facilitates faster innovation cycles and reduced import dependency (<20%). India’s fragmented ecosystem and regulatory gaps hinder similar progress, underscoring the need for accelerated policy and institutional reforms.
| Aspect | India | China |
|---|---|---|
| Policy Framework | Separate civilian and defence AI policies; no unified regulatory framework | Military-Civil Fusion policy integrating civilian and military AI R&D |
| Market Size (Defence AI) | $1.2-1.5 billion (estimated for 2025) | >$20 billion (projected 2025) |
| Import Dependency | >60% currently; target <30% by 2030 | <20% |
| R&D Coordination | Fragmented across agencies; slow technology transition | Highly coordinated; rapid deployment of AI-enabled systems |
Way Forward: Enhancing India’s Indigenous Defence AI Capabilities
- Develop a unified regulatory framework specifically for defence AI to streamline R&D and deployment.
- Expand skill development programs through AICTE and DRDO to build a specialised workforce with defence domain expertise.
- Increase budgetary allocation for AI R&D beyond current ₹500 crore to accelerate indigenous innovation.
- Promote stronger integration between civilian AI advances and defence applications, emulating aspects of China’s Military-Civil Fusion.
- Strengthen public-private partnerships and startup ecosystems under DIO to fast-track technology commercialization.
- Implement stringent data protection and cybersecurity standards under IT Act provisions tailored for defence AI systems.
- The Defence Procurement Procedure (DPP) 2020 mandates preference for foreign AI technologies if cheaper.
- The Information Technology Act, 2000 includes provisions relevant to data protection in AI systems.
- The Defence Innovation Organisation (DIO) provides funding support to AI startups in defence sector.
Which of the above statements is/are correct?
- India currently has a unified regulatory framework specifically for defence AI applications.
- Import dependency on defence electronics and AI systems is targeted to be reduced below 30% by 2030.
- China’s Military-Civil Fusion policy integrates civilian and military AI development.
Which of the above statements is/are correct?
Jharkhand & JPSC Relevance
- JPSC Paper: Paper 2 (Science and Technology), Paper 4 (Defence and Security)
- Jharkhand Angle: Presence of DRDO labs and defence manufacturing units in Jharkhand can benefit from indigenous AI innovations, boosting local employment and technological advancement.
- Mains Pointer: Frame answers highlighting the role of indigenous AI in strengthening local defence manufacturing hubs, reducing import dependency, and enhancing state-level skill development.
What is the Defence Procurement Procedure (DPP) 2020's stance on indigenous AI technologies?
DPP 2020 mandates preference for indigenous technologies in defence acquisitions, including AI systems, to promote self-reliance and reduce import dependency.
Which agency leads indigenous AI R&D for defence in India?
The Defence Research and Development Organisation (DRDO) is the lead agency for indigenous AI research and development in the defence sector.
What is the current import dependency on defence electronics and AI systems in India?
Import dependency exceeds 60% as per the Defence Ministry Annual Report 2023, with a target to reduce it below 30% by 2030.
How does China’s Military-Civil Fusion policy differ from India’s approach?
China’s Military-Civil Fusion policy integrates civilian and military AI R&D for faster innovation and deployment, whereas India’s approach is more fragmented with separate civilian and defence AI policies.
What role does the Defence Innovation Organisation (DIO) play in India’s defence AI ecosystem?
DIO facilitates innovation by funding AI startups, promoting indigenous technology development, and bridging the gap between labs and battlefield deployment.