NITI Aayog Unveils Comprehensive 10-Year Roadmap for Advanced Manufacturing Global Leadership
SDG 9: Industry, Innovation and Infrastructure | SDG 8: Decent Work and Economic Growth
Institutions: NITI Aayog | Ministry of Commerce and Industry | Ministry of Electronics and Information Technology
NITI Aayog’s detailed roadmap, “Reimagining Manufacturing: India’s Roadmap to Global Leadership in Advanced Manufacturing,” lays out a decisive, time-bound strategy for India to emerge as an Advanced Manufacturing Powerhouse by 2035, serving as a critical pillar for the Viksit Bharat @ 2047 vision. The report emphasizes that incremental change is insufficient and mandates a technology-led revolution to achieve global leadership.
Key Goals and Rationale: The roadmap defines clear, tangible outcomes for 2035 that must be achieved:
GDP Contribution: Increase manufacturing’s share of India’s GDP from the current 15-17% to 25%.
Job Creation: Generate over 100 million quality jobs by upskilling the workforce.
Global Positioning: Position India among the top three global hubs for advanced manufacturing.
Risk of Inaction: The report explicitly cautions that failure to adopt frontier technologies will lead to a lost opportunity, risking a potential loss of up to US$1 trillion in additional manufacturing GDP by 2047.
Strategic Enablers and Roadmap Pillars: The strategy focuses on integrating 16 identified frontier technologies—primarily Artificial Intelligence (AI) & Machine Learning, Digital Twins, Robotics, and Advanced Materials—into 13 high-impact manufacturing sectors. This transformation is structured across two major phases:
Phase 1 (FY2026 - FY2028): Ecosystem Build and Adoption:
Position Advanced Manufacturing as a national strategic priority under the India National Manufacturing Mission.
Establish the Global Frontier Technology Institute (GFTI) in India as a Center of Excellence (CoE) for research and development.
Develop a future-ready skilling ecosystem through modular, large-scale programs focused on frontier technology capabilities.
Create inclusive technology access platforms to reduce barriers for MSMEs.
Phase 2 (FY2029 - FY2031): Acceleration:
Drive the ‘Servicification of Manufacturing’ to evolve India’s industry from a product manufacturer into a high-value solution provider.
Focus on long-term competitiveness, supply chain resilience, and value innovation across all clusters.
This detailed roadmap serves as the foundational strategic planning document, mandating seamless collaboration between Central Ministries (like DPIIT, MeitY) and States to align policies (including PLI schemes, R&D funding, and industrial corridor development) towards a unified, technology-led national goal of achieving Advanced Manufacturing leadership.
What is the Servicification of Manufacturing?→ Servicification of Manufacturing is an economic phenomenon where manufacturing firms increasingly integrate services—such as maintenance, technical support, data analytics, and software solutions—into their core product offerings. This shift transforms the manufacturer from simply selling a physical good to selling a comprehensive, high-value solution, thereby enhancing competitiveness and increasing profitability in global value chains.
What are Digital Twins?→ Digital Twins are highly detailed, dynamic virtual replicas of physical assets, processes, systems, or even entire manufacturing plants. They are created using real-time data collected from sensors on the physical object, allowing engineers and managers to monitor performance, simulate potential changes, test designs, predict maintenance needs, and optimize operations entirely in the digital world before making any costly or disruptive changes in the physical world. An example is an offshore wind turbine.
The Physical Asset: Sensors on the turbine blades, gearbox, and tower stream massive amounts of real-time data on vibration, temperature, and wind speed.
The Digital Twin: This is a dynamic, virtual replica that integrates the live sensor data with AI and physics models.
The Impact: It enables predictive maintenance. Instead of waiting for a component to fail, the twin simulates “what-if” scenarios, identifies subtle anomalies, and predicts a breakdown days or weeks in advance. This allows the operator to schedule repairs proactively, minimizing downtime and maximizing the turbine’s energy output.
Follow the full news here: Reimagining Manufacturing: India’s Roadmap to Global Leadership in Advanced Manufacturing