Advanced International Journal for Research
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Volume 7 Issue 4
July-August 2026
Indexing Partners
Ai-powered Innovations: Shaping the Pharmaceutical Industry in India and Emerging Global Trends
| Author(s) | Ms. Ruhee Sachdeva, Dr. Sanjeev Mohan Sharma |
|---|---|
| Country | India |
| Abstract | This is a descriptive research designed to analyze the current trends and applications of AI in the pharmaceutical industry in India. The Indian pharmaceutical industry is currently undergoing a significant technological shift through the integration of Artificial Intelligence and Machine Learning to improve efficiency across drug discovery, clinical development, and healthcare delivery (Kandhare et al., 2025). Findings suggest that AI is significantly reducing drug development time, improving accuracy in diagnostics, and optimizing production processes. However, challenges such as high implementation costs, lack of skilled professionals, and data privacy concerns still limit widespread adoption. In 2018: National Strategy for Artificial Intelligence “AI for All” Released by NITI Aayog, document outlines the vision to position India as a leader in AI for economic growth and social inclusion. It provides recommendations for AI adoption across industries, including healthcare, education, agriculture, smart cities and transportation. In 2021: “Principles for responsible AI”: Launched by NITI Aayog, these principles are a continuation of the National Strategy for Artificial Intelligence. The principles examine ethical considerations surrounding the implementation of AI solutions in India. This study is based on secondary data collected from research papers, industry reports, company publications, and credible online sources. Findings reveal that while full-scale AI integration is a recent development—with only 40% of the top "Nifty Pharma" companies having fully embedded AI into their business models by 2024—specific leaders such as Cipla, Lupin, and Biocon have successfully deployed AI for manufacturing efficiency, patient monitoring, and cyber security (Maharshi et al., 2026). For smaller firms, this paper provides a strategic framework for SMEs to leverage AI as a tool for innovation, environmental sustainability, and operational resilience (Maharshi et al., 2026; Mehta, 2025).This paper provides a strategic overview of how firms of various sizes can leverage AI for innovation and operational resilience. To explore this further descriptive analysis was also done to understand the level of familiarity, understanding, and perspectives among pharmaceutical professionals regarding the role and impact of artificial intelligence in pharmaceutical operations, research, and development. The study is conclusive, given the novelty of AI technologies and LLMs, many professionals may not yet be familiar with their use or have integrated them into routine practice(Hasan et al., 2026). |
| Keywords | artificial intelligence, Sun Pharmaceuticals, innovation, digital transformation, |
| Field | Sociology > Economics |
| Published In | Volume 7, Issue 4, July-August 2026 |
| Published On | 2026-07-10 |
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E-ISSN 3048-7641
CrossRef DOI is assigned to each research paper published in our journal.
AIJFR DOI prefix is
10.63363/aijfr
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