Pharmaceutical firms employing data analytics strategies in five distinct manners
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In the rapidly evolving world of healthcare, data analytics and artificial intelligence (AI) are revolutionizing the pharmaceutical industry, particularly in India. This transformation is opening up new opportunities for pharmaceutical companies to make informed decisions, reduce costs, and accelerate drug discovery and development.
Pharma companies are now able to access verified data on diagnosis, medication, treatment, and prognosis within shorter periods, thanks to collaborations with innovative start-ups like Medmitra AI. These start-ups leverage AI and machine learning to analyse large volumes of health data, clinical trials, and drug reviews from various sources, providing authentic data that pharmaceutical companies can use to identify new markets for their new drugs.
One such startup, Medmitra AI, secured funding of approximately $358,551 in early 2025 to expand its capabilities in this domain.
Data analytics is also boosting the overall performance of pharmaceutical companies without increasing their costs of operations. By capturing genomic data and recognising patterns in health-related data from electronic health records, companies can identify risk factors and ameliorate side effects before they become a reality.
The increasing use of wearable technology in India is also facilitating the development of programmes for tailored chronic disease management. Pharma companies can use data from patient healthcare records to offer tailored management solutions and healthcare tips to registered patients.
However, the lack of a dedicated electronic health record (EHR) system in India makes it challenging for healthcare professionals and pharmaceutical companies to gain access to patient history, case studies, and healthcare references. This is an area where significant improvement is needed to fully leverage the potential of data analytics in the pharmaceutical industry.
Pharmaceutical companies are also using data analytics to capture patient information, scan health records, and track the performance of drugs in the clinical trial phases or initial market introduction phase. This practice can optimize the cost of development and production, and fast-track drug discovery and development, which can minimize the cost of bringing a new drug to market, which can reach $5 billion.
Moreover, pharma companies can use analytics of available market data and patient data to aid better resource distribution decisions and effective capital reallocation. They can also use data from social media, wearable devices, and Google searches to predict health risks and product safety of new drugs.
For instance, Pfizer works with SAS and Noux to capture actionable insights on sales and distribution data, helping them track doctor prescribing habits, medicine sales, individual sales rep performance, and competition.
Chronic diseases such as diabetes and heart problems are becoming more common in India. Efficiently combing through unstructured data of patents, clinical trials, and scientific publications for predictive analysis can accelerate drug discovery and development, addressing these growing health concerns.
The global pharmaceutical companies market has been growing at a rate of 5.8% since 2017 and is expected to reach $1,170 billion by 2021. This growth is a testament to the transformative power of data analytics and AI in the pharmaceutical industry.
As we move forward, it is clear that data analytics and AI will play a pivotal role in shaping the future of the pharmaceutical industry in India. The author, Gaurav Gupta, Co-founder of Navai Life Care, believes that this is just the beginning, and we can expect to see even more innovative applications of these technologies in the years to come.
This article was written by Gaurav Gupta, Co-founder of Navai Life Care.
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