Artificial Intelligence in the Pharmaceutical Sector of India: Future Prospects and Challenges 

Artificial Intelligence in the Pharmaceutical Sector of India: Future Prospects and Challenges | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Artificial Intelligence in the Pharmaceutical Sector of India: Future Prospects and Challenges Aprajita Kimta, Reena Dogra This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3878145/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 30 Apr, 2024 Read the published version in Journal of Business and Econometrics Studies → Version 1 posted You are reading this latest preprint version Abstract The pharmaceutical sector in India has emerged as a global leader, contributing significantly to the production of affordable generic drugs and vaccines. Despite its success, the industry faces challenges from early research and development stages to market deployment. This research paper explores the future prospects and challenges of integrating Artificial Intelligence (AI) into the Indian pharmaceutical sector. Methodologically, the research relies on secondary data from 2011 to 2019, collected from various published sources, primarily the Reserve Bank of India. The evaluation of performance was conducted using compound annual growth rate. AI has the potential to address longstanding issues, enhance operational efficiency, and reduce costs associated with drug discovery and development. Successful integration requires collaborative efforts from the public and private sectors, emphasizing resource allocation for education, infrastructure, regulatory reforms, and workforce development. The incorporation of AI presents a transformative opportunity for the Indian pharmaceutical sector, offering advancements in drug development, manufacturing, and quality control. Despite the promising prospects, the paper acknowledges challenges in implementing AI, including financial limitations, workforce competency, data security concerns, and regulatory complexities. The study emphasizes the need for strategic collaboration to ensure responsible and effective utilization of AI in the pharmaceutical industry. Artificial intelligence Pharmaceutical Sector Drug Development Research and development Manufacturing and Quality control Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 30 Apr, 2024 Read the published version in Journal of Business and Econometrics Studies → Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3878145","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":268493956,"identity":"638a674f-8f17-4de6-8fde-da7d9c1e9b28","order_by":0,"name":"Aprajita Kimta","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA/0lEQVRIiWNgGAWjYLACCQMgZgaxKoCYmbmBGC0GIC2MDQxnQFoYidDCwADUwgDUwtgG4hDQwj+79+EHi4I/8pLt3OkPfs6rjeZvB2r5UbENt5vuHDeWADrMcDYz78bG3m3Hc2ccBtrWc+Y2bmtupDGAtDDOA2pp4N12LLcBqIWZsQ23Fvkbacw/gFrsQVoa/845ljufkBaDG2lsIFsSQQ5r5m2oyd1ASIvhnWNsFhIGxskzm3k3zpY5diB3I1DLQXx+kbvdxnxb4o+c7YzzZzd8fFNTlzvv/OGDD35U4PE+MD6YJRDcw2DyAG71EC2MHxDcOryKR8EoGAWjYGQCAPooWZ/ERDo1AAAAAElFTkSuQmCC","orcid":"","institution":"Himachal Pradesh University","correspondingAuthor":true,"prefix":"","firstName":"Aprajita","middleName":"","lastName":"Kimta","suffix":""},{"id":268493957,"identity":"dfb9bc43-93f1-4614-8eca-a69be4a0117f","order_by":1,"name":"Reena Dogra","email":"","orcid":"","institution":"Himachal Pradesh University","correspondingAuthor":false,"prefix":"","firstName":"Reena","middleName":"","lastName":"Dogra","suffix":""}],"badges":[],"createdAt":"2024-01-19 08:33:01","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3878145/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3878145/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.61440/JBES.2024.v1.21","type":"published","date":"2024-04-30T14:52:18+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":58822294,"identity":"830a4a42-a4a1-4be8-a895-4c169f18e3e8","added_by":"auto","created_at":"2024-06-21 16:40:22","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":289517,"visible":true,"origin":"","legend":"","description":"","filename":"AIPHARMA.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3878145/v1_covered_35704d00-1c3a-45c9-88e2-66359a5cb4b4.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Artificial Intelligence in the Pharmaceutical Sector of India: Future Prospects and Challenges ","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Artificial intelligence, Pharmaceutical Sector, Drug Development, Research and development, Manufacturing, and Quality control","lastPublishedDoi":"10.21203/rs.3.rs-3878145/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3878145/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"The pharmaceutical sector in India has emerged as a global leader, contributing significantly to the production of affordable generic drugs and vaccines. 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