Abstract：Adoption of big data analytics for sustainability of library services in academic libraries of Pakistan Purpose This paper aims to measure the adoption of big data analyticsBDAto achieve sustainability in services being offered in university libraries in PakistanDesignmethodologyapproach The study applied a unified theory of acceptance and use of technologyUTAUTas a framework and used quantitative data collection and analysis methodIn total246 university library professionals were surveyed using a questionnaire consisting of UTAUT factorsThe gathered data were analyzed using partial least structural equation modelingPLS-SEMFindings The results showed that performance expectancyPEeffort expectancyEEand social influenceSIsignificantly impacted the behavioral intentionBIto adopt BDAFacilitating conditionsFCshave a statistically significant influence on the adoption of big data in librarieswhile BDA has a statistical influence on the sustainability of library servicesSLSPractical implications BDA assists libraries in making better decisions about demand-driven collection creationlibrary space managementusage trackingand quality maintenance in routine and repetitive library tasks such as catalogingindexingarchivingadministrationpreservation and representationBDA supports libraries in making more cost-effectiveinnovativeuser-oriented servicesresource transferringsocial identityresource utilizationhealthier user experiencestrategic planninginformed decision-making and state-of-the-art infrastructureOriginalityvalue The foundation of this study is based on information gathered from various sources and university libraries in Punjab to better understand the challenges associated with using BDA for the SLS in PakistanLibrary AutomationRoutine and duplicate library tasks such as directoryindexarchivesmanagementpreservationand representationConsulting ServiceThrough more cost-effectiveinnovativeand user-oriented servicesCollection ClassificationCreate a demand-driven collectionRetrieval and IndexingIt may be used herebut the original text is not clearly mentionedInstitutional CollectionThe original text mentioned that the BDA supports libraries to make decisions in resource transfersocial identity and resource utilizationThe study explores the application of big data analysisBDAin the sustainability of library servicesData exploration is part of the big data analysiswhich involves extracted information from a large amount of data