The evolution of Internet Protocol Television (IPTV) has transformed the landscape of digital broadcasting by leveraging high-speed internet connectivity to deliver high-quality multimedia content. IPTV provides a dynamic and interactive television experience through managed networks, ensuring superior Quality of Service (QoS) compared to open-network Internet TV. This study explores the technical infrastructure of IPTV, including its network architecture, data compression techniques, and the role of protocols such as IGMP and RTSP. It also examines security challenges, including encryption, digital rights management (DRM), and authentication mechanisms that safeguard IPTV services from unauthorized access and piracy. Moreover, the paper analyzes the distinctions between IPTV and open-network Internet TV, highlighting their respective advantages and limitations in terms of service control, bandwidth optimization, and content security. The integration of artificial intelligence (AI) and machine learning (ML) in IPTV enhances personalized content recommendations and predictive analytics, leading to improved user engagement and efficient network management. Additionally, emerging technologies such as 5G and cloud-based IPTV services are explored for their potential to further revolutionize the industry. While IPTV presents a robust alternative to traditional broadcasting, challenges such as bandwidth constraints, cybersecurity threats, and regulatory compliance remain significant. The study concludes that IPTV's future success will depend on advancements in network infrastructure, AI-driven optimizations, and strategic regulatory adaptations. As IPTV continues to evolve, hybrid models integrating IPTV and open-network streaming services are expected to enhance content accessibility, security, and overall user experience.