According to a PRNewswire research report, the drone cloud surveillance intelligence market will witness a YOY growth of 12.05% in 2023, with a CAGR of 13.58% during the forecast period. This burgeoning demand has spurred an increased interest in the research and development of cloud platforms for drone integration services. In this paper, we define the drone cloud concept, propose a surveillance drone cloud with reference infrastructure, and discuss various drone cloud service and deployment models. We also address challenges, issues, and needs associated with surveillance drone AI services and taxonomy. Furthermore, we explore opportunities in integrating drone technology with cloud computing, real-time data sharing, and drone-human interaction support, while proposing a smart drone service model for efficient resource utilization. Our analysis offers insights into the present state and future directions of drone cloud surveillance technology.