{"id":44502,"date":"2025-12-12T10:55:31","date_gmt":"2025-12-12T05:25:31","guid":{"rendered":"https:\/\/dailynewsindia.co.in\/index.php\/2025\/12\/12\/india-emerges-as-a-global-leader-in-machine-learning-enabled-scientific-research-new-report-finds\/"},"modified":"2025-12-12T10:55:31","modified_gmt":"2025-12-12T05:25:31","slug":"india-emerges-as-a-global-leader-in-machine-learning-enabled-scientific-research-new-report-finds","status":"publish","type":"post","link":"https:\/\/dailynewsindia.co.in\/index.php\/2025\/12\/12\/india-emerges-as-a-global-leader-in-machine-learning-enabled-scientific-research-new-report-finds\/","title":{"rendered":"India Emerges as a Global Leader in Machine Learning\u2013Enabled Scientific Research, New Report Finds"},"content":{"rendered":"<div>\n<p><strong>New Delhi [India], December 12:<\/strong> India has emerged as one of the world\u2019s most dynamic and rapidly advancing centers for machine learning (ML)\u2013enabled scientific research, according to the newly released <a href=\"https:\/\/airesearchtrends.com\/\" target=\"_blank\" rel=\"noopener\"><strong>ML Global Impact Report 2025<\/strong><\/a>\u00a0by Marktechpost.\u00a0New dataset shows India rapidly strengthening its position in global AI-driven science, ranking third worldwide for ML-enabled research published across the Nature family of journals.<\/p>\n<p>The study, covering more than 5,000 ML-relevant scientific articles published in the\u00a0<em>Nature<\/em>\u00a0family of journals between January 1 and September 30, 2025, identifies India as the third-largest contributor to ML-supported scientific output worldwide \u2014 behind only China and the United States.<\/p>\n<p>India\u2019s rise reflects an expanding network of universities, medical institutions, national laboratories, deep-tech startups, and AI research centres that are applying ML to address the country\u2019s most complex scientific and societal challenges. ML has become a foundational tool in India\u2019s scientific ecosystem, powering innovation across domains essential to national development.<\/p>\n<p><strong>India\u2019s Rapid Growth in ML-Driven Scientific Research<\/strong><\/p>\n<p>Indian researchers demonstrated extensive adoption of widely used ML frameworks \u2014 including XGBoost, Transformers, ResNet, U-Net, YOLO, LightGBM, and CatBoost \u2014 applying them across high-impact scientific fields such as:<\/p>\n<ul>\n<li>medical imaging, diagnostics, cancer screening, and genomics<\/li>\n<li>climate science, monsoon prediction, and environmental modeling<\/li>\n<li>agriculture, crop-yield forecasting, and food systems resilience<\/li>\n<li>materials science, chemistry, and nanotechnology<\/li>\n<li>Earth-observation, remote sensing, and disaster preparedness<strong><br \/>\n<\/strong><\/li>\n<\/ul>\n<p>This broad range of applications highlights India\u2019s focus on practical, scalable, and socially relevant ML research, with a strong orientation toward national priorities in health, agriculture, climate resilience, and sustainable development.<\/p>\n<p><strong>Research Volume vs. Density: India\u2019s Expanding Scientific Footprint<\/strong><\/p>\n<p>The report shows that while China leads in research volume and the United States in disciplinary breadth, India is experiencing a steep upward trajectory in ML-driven science \u2014 with more institutions participating each year.<\/p>\n<p>India\u2019s expansion is supported by:<\/p>\n<ul>\n<li>growing interdisciplinary research clusters<\/li>\n<li>increased investment in AI for health, agriculture, and climate<\/li>\n<li>strong contributions from both Tier 1 and Tier 2 universities<\/li>\n<li>a rapidly growing startup ecosystem translating research into applied innovation<\/li>\n<\/ul>\n<p>India\u2019s participation is increasingly distributed and collaborative, positioning it as one of the fastest-growing ML-enabled scientific ecosystems in the world.<\/p>\n<p><strong>Collaboration: India\u2019s Strength in Scientific Partnerships<\/strong><\/p>\n<p>Like global ML research, India\u2019s scientific output is highly collaborative, with most ML-enabled studies involving 2\u201315 institutional affiliations. Indian collaborations frequently connect:<\/p>\n<ul>\n<li>academia and medical institutions<\/li>\n<li>computational labs and engineering departments<\/li>\n<li>public research organizations and industry partners<\/li>\n<li>deep-tech startups and clinical institutions<\/li>\n<\/ul>\n<p>International collaboration is an especially important factor, with India appearing prominently in partnerships with:<\/p>\n<ul>\n<li><strong>the United States<\/strong>, especially in health, genomics, and climate<\/li>\n<li><strong>Saudi Arabia<\/strong>, particularly in materials science and applied ML<\/li>\n<li><strong>global research networks<\/strong> working in computer vision, environmental science, and agriculture<\/li>\n<\/ul>\n<p>These collaboration patterns demonstrate India\u2019s growing integration into the global ML research community.<\/p>\n<p><strong>Beyond Generative AI: Classical ML Powers India\u2019s Scientific Impact<\/strong><\/p>\n<p>Despite the popularity of generative AI models, the report finds that India\u2019s scientific progress is driven primarily by mature, proven machine learning techniques, mirroring global trends. Classical ML methods \u2014 including Random Forest, SVMs, and Scikit-learn\u2013based workflows \u2014 account for 47% of all ML use cases worldwide, and these approaches remain central to India\u2019s research output.<\/p>\n<p>When combined with established ensemble approaches such as GBM, XGBoost, LightGBM, and CatBoost, these traditional methods represent over 75% of the ML techniques powering real scientific work. This reinforces India\u2019s focus on practical, scalable innovation, rather than hype-driven experimentation.<\/p>\n<p>India\u2019s research environment uses ML primarily for application-oriented scientific tasks, including prediction, early diagnostics, environmental modeling, and agricultural optimization \u2014 areas where classical and ensemble ML methods deliver immediate, real-world impact.<\/p>\n<p><strong>India in Global Context: A Top-Three Scientific Power<\/strong><\/p>\n<p>India\u2019s third-place ranking highlights the country\u2019s rising influence in global ML-driven science. The report situates India within a broader ecosystem shaped by foundational ML tools originating from:<\/p>\n<ul>\n<li><strong>United States<\/strong>\u00a0(core ML infrastructure)<\/li>\n<li><strong>Canada<\/strong>\u00a0(GAN)<\/li>\n<li><strong>United Kingdom<\/strong>\u00a0(AlphaFold)<\/li>\n<li><strong>Germany<\/strong>\u00a0(U-Net)<\/li>\n<li><strong>France\/EU<\/strong> (Scikit-learn)<\/li>\n<li><strong>Russia<\/strong> (CatBoost)<\/li>\n<\/ul>\n<p>India\u2019s expanding research output shows how the country is actively contributing to \u2014 and benefiting from \u2014 the global ML innovation landscape.<\/p>\n<p><strong>Industry Commentary<\/strong><\/p>\n<p><strong>Dr. Geetha Manjunath, Founder, CEO &amp; CTO, NIRAMAI Health Analytix<\/strong><\/p>\n<p>\u201cIndia\u2019s surge in machine learning\u2013driven scientific research \u2014 particularly in medical imaging, diagnostics, and genomics \u2014 is shaping a future where advanced technologies translate into improved population health at scale.\u201d<\/p>\n<p>NIRAMAI\u2019s Thermalytix\u00ae platform is a leading example of India\u2019s ability to convert ML-supported scientific research into clinically validated, affordable, and globally scalable healthcare innovation. The technology enables early detection of breast cancer without radiation, compression, or on-site radiologists, making it suitable for population-scale screening \u2014 especially in low-resource settings.<\/p>\n<p>\u201cSolutions like Thermalytix\u00ae demonstrate how India\u2019s innovation ecosystem is using ML to develop equitable health technologies that create real impact for millions,\u201d she added.<\/p>\n<p><strong>Asif Razzaq, Editor &amp; Co-Founder, Marktechpost<\/strong><\/p>\n<p>\u201cIndia\u2019s rise in ML-powered scientific research is one of the most notable trends in this dataset. What stands out is the country\u2019s ability to apply machine learning across diverse scientific domains \u2014 from agriculture and health to climate and engineering. India has firmly established itself as a key contributor to the global ML research ecosystem.\u201d<\/p>\n<p><strong>Methodology<\/strong><\/p>\n<p>The analysis examined all ML-relevant scientific articles across the\u00a0<em>Nature<\/em>\u00a0portfolio from January 1 to September 30, 2025. A unified Python-based pipeline identified ML-flagged articles and extracted:<\/p>\n<ul>\n<li>scientific field<\/li>\n<li>author-country affiliation<\/li>\n<li>ML tools used<\/li>\n<li>the scientific contribution enabled by ML<\/li>\n<li>citation information (where available)<\/li>\n<\/ul>\n<p>Tools frequently used in India\u2019s research ecosystem included Transformers, XGBoost, ResNet, U-Net, YOLO, LightGBM, CatBoost, and BERT \u2014 demonstrating India\u2019s broad and maturing integration of ML across its scientific landscape.<\/p>\n<p><strong>About Marktechpost<\/strong><\/p>\n<p>Marktechpost is a global publication covering artificial intelligence, machine learning, and emerging technology research. The platform highlights advances from academic institutions, research labs, and practitioners shaping the future of applied AI.\u00a0<a href=\"https:\/\/www.marktechpost.com\/\" target=\"_blank\" rel=\"noopener\">https:\/\/www.marktechpost.com\/<\/a><\/p>\n<p><em>If you object to the content of this press release, please notify us at pr.error.rectification@gmail.com. We will respond and rectify the situation within 24 hours.<\/em><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>New Delhi [India], December 12: India has emerged as one of the world\u2019s most dynamic and rapidly advancing centers for machine learning (ML)\u2013enabled scientific research, according to the newly released ML Global Impact Report 2025\u00a0by Marktechpost.\u00a0New dataset shows India rapidly strengthening its position in global AI-driven science, ranking third worldwide for ML-enabled research published across&#8230;<\/p>\n<p class=\"more-link-wrap\"><a href=\"https:\/\/dailynewsindia.co.in\/index.php\/2025\/12\/12\/india-emerges-as-a-global-leader-in-machine-learning-enabled-scientific-research-new-report-finds\/\" class=\"more-link\">Read More<span class=\"screen-reader-text\"> &ldquo;India Emerges as a Global Leader in Machine Learning\u2013Enabled Scientific Research, New Report Finds&rdquo;<\/span> &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":44503,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[635],"class_list":["post-44502","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-national","tag-national"],"_links":{"self":[{"href":"https:\/\/dailynewsindia.co.in\/index.php\/wp-json\/wp\/v2\/posts\/44502","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dailynewsindia.co.in\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dailynewsindia.co.in\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dailynewsindia.co.in\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dailynewsindia.co.in\/index.php\/wp-json\/wp\/v2\/comments?post=44502"}],"version-history":[{"count":0,"href":"https:\/\/dailynewsindia.co.in\/index.php\/wp-json\/wp\/v2\/posts\/44502\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dailynewsindia.co.in\/index.php\/wp-json\/wp\/v2\/media\/44503"}],"wp:attachment":[{"href":"https:\/\/dailynewsindia.co.in\/index.php\/wp-json\/wp\/v2\/media?parent=44502"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dailynewsindia.co.in\/index.php\/wp-json\/wp\/v2\/categories?post=44502"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dailynewsindia.co.in\/index.php\/wp-json\/wp\/v2\/tags?post=44502"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}