Author : Chetankumar Patel

Customer Relationship Management (CRM) has transformed into simple repositories of customer data to smart and AI-powered platforms that facilitate predictive analytics, automation and customized customer experiences. This paper is a global comparative analysis of how CRM technologies have evolved and been adopted in both developing and developed countries with the differences in terms of technology maturity, functional orientation, regulatory factors, and strategic application. The paper follows the historical evolution of CRM as database marketing and sales force automation to cloud-based, mobile, and artificial intelligence-enabled unified experience platforms. The study utilizes secondary data, literature review, and a comparative model at the country level to study the effects of economic capacity, digital infrastructure, government structures, and organization preparedness on the implementation trends of CRM. The results indicate that developed markets have highly developed, analytics-based, and compliance-driven CRM ecosystems, whereas developing markets are still concerned with cost-effective, cloudbased, and operational CRM solutions with the focus on sales enablement and customer care. The research value is that it offers an organized comparison of CRM development in economic settings and content to the researchers, practitioners, and policymakers as to developing effective, ethical, and scaled CRM strategies in an environment of global diversity of digital setting.

Keywords: Customer Relationship Management (CRM), CRM Evolution, Developing Economy, Developed Economy, Artificial Intelligence, Predictive Analytics