India's Surge in Machine Learning-Driven Scientific Research

India ranks third globally in machine learning-driven scientific research, as per the ML Global Impact Report 2025. With its expanding network of universities, national laboratories, and startups, India is rapidly advancing in fields like medical imaging, climate science, and agriculture, demonstrating a focus on scalable, practical innovations.

India has been recognized as one of the top three global leaders in machine learning-driven scientific research, according to the ML Global Impact Report 2025 by Marktechpost. The nation ranks third, trailing only China and the United States, for ML-enabled research articulated in the prestigious Nature journal family.

This achievement underscores India's thriving ecosystem of universities, national research centers, and startups integrating machine learning to tackle pressing scientific and societal issues. The application of ML spans critical areas such as medical imaging, climate adaptation, and agricultural innovation, aligning with national development goals.

India's ML research boom is fueled by expanding interdisciplinary collaborations, increased AI investments, and the emergence of new startups. A focus on classical machine-learning methods, such as Random Forest and ensemble techniques, enables real-world scientific outcomes, boosting India's contribution to global ML innovations.