Market intelligence systems (MIS) enable transnational firms to identify emerging opportunities, competitive threats, regulatory shifts, and cultural variations across markets. These systems capture and analyze multi-country data streams to guide strategic decision-making related to pricing, product adaptation, supply chain routing, and political risk management. Using theoretical foundations from information systems, global strategy, and data governance, this paper proposes a Transnational Market Intelligence Framework (TMIF) integrating data infrastructure, knowledge systems, analytics, and localized decision loops. Findings suggest that advanced MIS enhance global competitiveness by improving forecasting accuracy, enabling real-time response, and supporting multi-regional strategy alignment. However, challenges persist in cross-border data regulation, cultural interpretation, interoperability, and bias in automated models.