This paper examines predictive policing across China, Singapore, South Korea, Japan, and India, highlighting diverse implementations from China's vast surveillance networks with hundreds of millions of CCTV cameras and AI-driven predictive control to Singapore's balanced Smart Nation approach, South Korea's research-focused pilots, Japan's precision tools like Crime Nabi, and India's CCTNS amid uneven digitalization. Grounded in theories like near-repeat victimization and routine activities, it analyzes technological architectures, legal frameworks, ethical concerns such as bias and privacy, and comparative data on devices like BWCs and drones. Findings reveal massive scale in China raising oversight issues, while others emphasize governance and pilots yielding modest gains but limited causal evidence. Amid Asia-Pacific smart policing market growth to $3.8B by 2033, the study urges robust evaluations, transparency, and rights safeguards to harness benefits without amplifying inequalities.