Digital transformation has moved from being an outlying support function to a key competitive differentiator in India's manufacturing industry. In the last decade, a constellation of Industry 4.0 technologies the Internet of Things, automation, state-of-the-art analytics, cloud platforms, and artificial intelligence started to reshape the way businesses think, run, and organize their production systems. These shifts can be seen in areas like real-time machine monitoring, predictive maintenance, digital quality assurance, or integrated supply chain oversight, but the picture that emerges from the national indicators is patchy. This study examines the intersection of digital transformation trends and emerging patterns of productivity in the Indian manufacturing sector by analyzing secondary data supplied by government statistics, international repositories, and industry case studies. It sets out an analytical framework involving linkages between the concept of "digital intensity" and productivity outcomes in three major ways: process optimization, improved decision-making, and sustained capability development. The empirical findings suggest that firms that are more digitally intense – especially in the automotive, electronics, pharmaceutical and machinery subsectors – are beginning to realize tangible improvements in labor productivity, product quality, asset utilization, and cost containment. Conversely, structural impediments faced by micro, small, and medium-sized enterprises constrict their capacity to take the digital tools and turn them into effectiveness in productivity; this impacts the deficit of skilled labor, financial resources, and digital literacy. The paper argues that the future of India's manufacturing narrative will depend on effectively bringing together digital investments and strong management practices along with workforce development and policy support. It concludes by suggesting potential areas for future research in the field of scholarship management.