Healthcare cloud adoption is progressing through a clear evolution. Initial investments centered on infrastructure modernization and workload migration, followed by efforts to improve interoperability and connect data across the enterprise. Today, healthcare organizations are increasingly focused on using cloud environments to support integrated workflows, advanced analytics, and artificial intelligence (AI)-enabled decision-making. As a result, competitive differentiation is gradually moving beyond infrastructure capabilities toward the ability to manage healthcare data, generate actionable analytics, and support clinical and operational outcomes.

• What role do AI-enabled applications, healthcare analytics, and cloud-native workflows play in expanding the healthcare cloud landscape?
• Is your healthcare cloud strategy aligning with hybrid and multi-cloud architectures to balance scalability, compliance, security, and data sovereignty?
• HowWhat growth gaps must be addressed to overcome barriers such as data privacy, legacy-system integration, and implementation complexity?