AI-Driven Transformation in Indian Manufacturing

Rabindra Purohit, Vice President Legal, Compliance & Company Secretary at Deepak Fertilisers, has identified artificial intelligence (AI) innovation as a decisive factor in the scaling and modernization of India's manufacturing industry. Speaking to ETLegalWorld, Purohit asserted that AI is no longer a peripheral technology but a central pillar in driving operational efficiency, quality control, and global competitiveness.

Recent industry data supports this assertion. According to the India Brand Equity Foundation (IBEF), India's manufacturing sector contributed approximately 17% to the country's GDP in FY2023, with projections suggesting this figure could rise to 25% by 2025 if digital transformation accelerates. AI technologies are expected to play a pivotal role in this growth, particularly through applications such as predictive maintenance, supply chain optimization, and automated quality inspection.

Market Impact and Adoption Trends

The Indian manufacturing sector is witnessing a rapid surge in AI adoption. Market research firm NASSCOM estimates that AI and automation could add up to $500 billion to India's GDP by 2025. Leading manufacturing conglomerates, including Deepak Fertilisers, Tata Steel, and Mahindra & Mahindra, have begun integrating AI-driven analytics and robotics into their production processes to improve throughput, reduce downtime, and enhance product quality.

Purohit highlights that AI is not just about technology upgrades but about fundamentally reimagining manufacturing workflows. “AI enables proactive decision-making, minimizes human error, and drives a culture of continuous improvement,” he stated. He further noted that leveraging AI for compliance and regulatory monitoring has become critical, as Indian manufacturers must navigate increasingly complex domestic and international standards.

Strategic Implications for Industry Stakeholders

AI's integration into manufacturing is reshaping strategic priorities for both industry leaders and policymakers. For corporations, the imperative is clear: invest in AI-led transformation or risk falling behind global competitors. Data from the Confederation of Indian Industry (CII) indicates that companies implementing AI solutions have reported up to 20% gains in productivity and 15% reductions in operational costs within the first year of deployment.

At a policy level, the Indian government has responded by launching initiatives such as the National AI Mission and the Production Linked Incentive (PLI) scheme, aimed at fostering AI research and incentivizing automation across sectors. However, challenges remain. Purohit warns that skill gaps, data privacy concerns, and legacy infrastructure can hamper the pace of AI adoption, requiring coordinated action from industry associations, academia, and regulatory bodies.

Competitive Landscape and Future Outlook

The competitive landscape is evolving as both established conglomerates and agile startups drive AI innovation in manufacturing. Companies like Siemens India and L&T Technology Services are offering AI-based industrial automation solutions, while numerous startups are emerging in fields such as industrial IoT, machine vision, and advanced data analytics.

As global supply chain disruptions and shifting trade dynamics continue to impact Indian manufacturing, AI solutions offer a path to greater resilience and adaptability. Purohit predicts that over the next five years, AI-powered process optimization and real-time data analytics will become standard practice across the sector. He advocates for heightened investment in workforce upskilling, robust data governance frameworks, and cross-industry collaborations to fully realize AI's potential.

Regulatory and Compliance Considerations

With the rise of AI-driven systems, compliance and ethical considerations are taking center stage. Purohit emphasizes that manufacturers must ensure transparency, accountability, and data integrity in AI applications. The emergence of draft regulations on AI ethics and data protection from the Ministry of Electronics and Information Technology (MeitY) reflects a growing regulatory focus on these issues. Companies are increasingly deploying AI-based compliance monitoring tools to meet evolving legal requirements and mitigate operational risks.

Key Takeaways

  • AI innovation is now central to scaling and modernizing India's manufacturing sector, driving both operational efficiency and compliance.
  • Industry data indicates significant productivity and cost savings from AI adoption, with a projected $500 billion GDP impact by 2025.
  • Strategic investment in AI, workforce upskilling, and ethical data governance are critical for maintaining competitiveness.
  • The regulatory environment is evolving rapidly, with new guidelines on AI ethics and data protection expected to shape future industry practices.
  • Collaboration among industry, government, and academia will be essential for overcoming challenges and realizing the full potential of AI in Indian manufacturing.

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