Year: 2025
Type: article
Abstract: This study examines the transformative role of data monetization in the insurance sector, highlighting its capacity to drive innovation, enhance operational efficiency, and create new revenue streams. With the rapid expansion of digital ecosystems and the growing prevalence of big data, insurers are uniquely positioned to leverage their extensive data repositories for strategic advantage. This paper explores both direct and indirect data monetization strategies, focusing on the use of advanced analytics, Artificial Intelligence (AI), and Machine Learning (ML) to improve risk modeling, customer segmentation, and fraud detection. Furthermore, it addresses the ethical and regulatory challenges surrounding data privacy, consent, and compliance, which are critical for sustainable data-driven operations. Through a thorough analysis of industry trends, best practices, and case studies, the research provides actionable insights for insurers aiming to harness data as a key business asset. This study not only underscores the potential of data monetization in reshaping the insurance landscape but also highlights the importance of a balanced approach that aligns innovation with robust governance and customer trust.
Author: Julker Nain
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4407682811