The global data monetization market is projected to reach over $15.4 billion by 2030, driven by the increasing availability and variety of new business intelligence and data science platforms, as well as the progressive shift toward data-driven decision-making strategies implemented by a growing number of companies. Data monetization refers to the process of earning revenue in exchange for the data assets a company generates and/or collects, with two types being internal data monetization using data internally in Business Intelligence or Advanced Analytics departments to gain greater insights into a company's own operations or customers, and external data monetization selling data to third parties in raw form or as analysis and insights. External data monetization categories include marketing data, behavioral data, operational data, and commercial data, which can be used to improve competitive advantage, strengthen understanding of customers, assist in finding new areas of growth, streamline decision-making, and generate more revenue for businesses. To develop a spatial data monetization strategy, companies should ensure data quality, choose the best delivery mechanisms, and document their data well, as exemplified by Vodafone's successful development of its spatial data product using Location Intelligence, which provides insights into human mobility patterns that enable better decision-making for key sectors such as Real Estate, Tourism, and Retail.