Enterprise AI is entering a new era, one where synthetic data is not just a technical convenience but a strategic necessity. For mid- to senior-level business and technology leaders, the ability to scale AI innovation while ensuring privacy and regulatory compliance is now inseparable from the adoption of synthetic data. Organisations face mounting pressure: data scarcity, evolving privacy regulations (GDPR, HIPAA, EU AI Act), and the prohibitive costs of acquiring and labelling real data. Synthetic data is rapidly emerging as the foundation for secure, scalable, and domain-specific AI training and testing. This article explores the surging momentum behind synthetic data, practical implementation frameworks, and actionable leadership checklists to drive measurable business outcomes.