Collaborative Immersive Analytics: A Systematic Review

Collaborative Immersive Analytics (CIA) has emerged as a promising approach for supporting collective sense-making of data using immersive technologies. Over the past decade, a growing number of systems have been proposed, yet the design space and collaborative practices in CIA remain fragmented across the literature. This paper presents a systematic review of CIA research published between 2015 and 2025. Following PRISMA guidelines, 19 empirical studies were analysed across six dimensions: time-space configuration, analytical tasks, system-centred symmetry, user-centred symmetry, collaboration dynamics, and data characteristics and domain applications. The analysis results show that CIA systems predominantly supported synchronous collaboration and shared exploratory analysis coordinated through natural communication mechanisms such as verbal communication and deictic gestures. However, many systems were evaluated using datasets selected primarily to demonstrate system capabilities rather than real-world analytical applications. Several design considerations are outlined for future CIA research.