Overview. Singapore is rapidly establishing itself as a dynamic hub for AI development in Asia, supported by a forward-thinking government, robust investment in digital infrastructure, and a thriving innovation ecosystem.
AI hubs. Singapore boasts several key AI hubs. One-north has emerged as a central node for AI research and innovation, the Central Business District focuses on fintech and AI-driven financial services, and Science Park is recognized for AI applications in biomedical sciences and engineering.
Key players. Singapore's AI landscape is driven by key players such as Grab and Sea Group, alongside innovative startups like Taiger and ViSenze. The National University of Singapore (NUS) and the Agency for Science, Technology, and Research (A*STAR) lead AI research initiatives, with support from institutions like Nanyang Technological University (NTU).
AI sectors. Key AI sectors in Singapore include finance, healthcare, logistics, smart cities, and e-commerce.
AI stars. Notable AI figures in Singapore include Lee Hsien Loong (AI policy), Dr. Steven Hoi (Salesforce AI Research), and Professor Lee Wing On (Nanyang Technological University).
AI policy. Since the launch of the National Artificial Intelligence Strategy in 2019, Singapore has advanced its AI capabilities by prioritizing AI research, fostering a skilled workforce, and promoting AI integration across various industries.
There is a notable disparity in Singapore's AI collaborations, with partner countries unevenly distributed across the globe.
The map below illustrates the number of AI patents co-developed with these and other countries. This plot shed light where the most important country partners of Singapore are located.
This section provides an overview of the AI ecosystem in Singapore, including key organizations and their geographical distribution.
Revealed Comparative Advantage (RCA) measures a country’s specialization in an industry compared to the global average. An RCA above 1 signals higher specialization, while below 1 indicates less focus, highlighting areas of strength or growth opportunities.
The penetration rate represents the proportion of AI activity within Singapore's overall activity. The global share indicates Singapore's contribution to the worldwide AI landscape.
Singapore approach to AI regulation is taking shape through executive actions and proposed legislation, focusing on risk-based frameworks, transparency, and sector-specific rules rather than sweeping laws.
The following timeline represents the efforts of Singapore to be ahead on the AI race. For see more information about AI regulations and initiatives worldwide, visit our Regulation Report.