Year: 2025
Type: article
Abstract: The rapid digital transformation in enterprises has increased the complexity of IT Asset Management (ITAM), necessitating advanced tools for efficient tracking, compliance, and cost optimization. ServiceNow ITAM, integrated with Artificial Intelligence (AI) and automation, provides a data-driven approach to Hardware Asset Management (HAM) and Software Asset Management (SAM). This review explores the optimization of ITAM using ServiceNow, highlighting its impact on cost savings, compliance enforcement, security enhancements, and operational efficiency. Experimental findings show that ServiceNow ITAM improves asset tracking by 40%, reduces software license costs by 30%, decreases security risks by 50%, and enhances operational efficiency by 70%. Despite these advantages, challenges such as integration complexities, AI accuracy limitations, and regulatory constraints persist. The paper concludes by recommending future research on AI-driven predictive analytics, enhanced automation, and blockchain integration for ITAM.
Author: Aravind Barla
Institution: University of Central Missouri
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4413803699