
A UNODC threat assessment says Southeast Asia's organized crime networks now operate as an interconnected transnational ecosystem using digital fraud infrastructure, shared financial networks and cryptocurrency, while authorities face growing pressure to improve cross-border tracing and recovery.
Organized crime groups tied to scam compounds across Asia-Pacific caused an estimated $88.3 billion to $114.1 billion in losses in 2025, the United Nations Office on Drugs and Crime said, describing a shift from isolated syndicates to an interconnected transnational criminal ecosystem. The UNODC said groups that once focused on trafficking increasingly rely on digital services including cyber-enabled fraud, scam infrastructure and platform-based financial settlements, while sharing money-laundering channels, technology and logistical networks across borders. The report says cryptocurrencies have become an increasingly important part of that financial ecosystem, complicating efforts to trace and recover illicit proceeds rather than serving as the root cause of the crimes. UNODC Regional Representative Delphine Schantz said law enforcement needs specialized training, along with stronger cross-border cooperation, to identify, seize and recover crypto-linked funds. The assessment also links the expansion of scam operations to global human trafficking, saying people from at least 80 countries and territories have been found inside scam compounds in Southeast Asia. Recruitment networks now extend through transit hubs in Asia, the Middle East and Africa, while online job ads increasingly target applicants in Europe and North America. Beyond fraud, the report estimates Southeast Asia's methamphetamine, ketamine and heroin markets at $75 billion to $109.7 billion a year, flags the Sulu-Celebes corridor linking Indonesia, Malaysia and the Philippines as a growing smuggling route for illicit cargo including scam-enabling technology, and says organized crime groups are expanding into online gambling, child exploitation, firearms trafficking and AI-powered fraud.