The exponential growth in cyber threats necessitates automated approaches to threat intelligence collection and analysis. This research examines the current state of Cyber Threat Intelligence (CTI) automation, analysing secondary data sources and reviewing existing literature to understand effectiveness, challenges, and emerging trends. With cyber threat intelligence market projected to reach $31.36 billion by 2029, automation has become critical for organizations facing increasingly sophisticated attacks. This paper evaluates automated CTI systems, standardized frameworks like STIX/TAXII, and machine learning applications in threat detection and analysis through a comprehensive literature review and statistical analysis of industry data.