INTERNATIONAL JOURNAL OF MARKETING AND COMMUNICATION STUDIES (IJMCS )
E-ISSN 2545-5273
P-ISSN 2695-2173
VOL. 9 NO. 3 2025
DOI: 10.56201/ijmcs.v9.no3.2025.pg16.26
Olawale C. Olawore, Taiwo R. Aiki, Oluwatobi J. Banjo, Beverly B. Tambari, Victor O. Okoh, Festus I. Ojedokun, Tunde O. Olafimihan, Kazeem O. Oyerinde, Funmilayo C. Olawore, Jonathan E. Kozah
This study investigates the prospective influence of quantum computing on marketing analytics. As the landscape of digital marketing continues to evolve, the need for more effective and precise analytical tools has surged to unprecedented levels. Marketing analytics, which is essential for assessing the success of campaigns, is undergoing significant changes driven by the increasing volume of data, the complexity of consumer interactions, and the urgent demand for immediate insights. Quantum computing, founded on the principles of quantum mechanics, is leading this transformation. Unlike classical computing, which depends on conventional bits, quantum computing employs quantum bits (qubits) that can exist in multiple states simultaneously, thus allowing for rapid data processing and the resolution of complex problems. This research delves into the theoretical applications of quantum computing within marketing analytics, concentrating on areas such as data processing, predictive modeling, and the development of personalized marketing strategies. It emphasizes the potential for better management of extensive datasets, improved predictive accuracy, real-time analytical capabilities, and a reimagining of marketing strategies. The prospects seem favorable, yet the study also highlights the challenges that arise from the early stage of quantum technology and the complexities of its integration. Although it is primarily theoretical, this research shows the considerable potential for transformation that quantum computing offers in marketing analytics, encouraging further exploration and experimentation in this field.
Quantum Marketing, future perspective, computer application, market prediction, market strategy, consumer targeting
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