XRZoo: A Large-Scale and Versatile Dataset of Extended Reality (XR) Applications
Shuqing Li, Chenran Zhang, Cuiyun Gao, Michael R. Lyu

TL;DR
XRZoo is a large, diverse dataset of over 12,500 XR applications across multiple platforms and use cases, designed to support research and development in XR technologies and applications.
Contribution
This paper introduces XRZoo, a comprehensive, publicly available dataset of XR applications with detailed metadata to facilitate empirical research and system development.
Findings
Contains 12,528 XR applications from nine app stores
Includes detailed metadata such as categories, release dates, and hardware specs
Supports cross-disciplinary research and XR system development
Abstract
The rapid advancement of Extended Reality (XR, encompassing AR, MR, and VR) and spatial computing technologies forms a foundational layer for the emerging Metaverse, enabling innovative applications across healthcare, education, manufacturing, and entertainment. However, research in this area is often limited by the lack of large, representative, and highquality application datasets that can support empirical studies and the development of new approaches benefiting XR software processes. In this paper, we introduce XRZoo, a comprehensive and curated dataset of XR applications designed to bridge this gap. XRZoo contains 12,528 free XR applications, spanning nine app stores, across all XR techniques (i.e., AR, MR, and VR) and use cases, with detailed metadata on key aspects such as application descriptions, application categories, release dates, user review numbers, and hardware…
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Taxonomy
TopicsComputer Graphics and Visualization Techniques · Augmented Reality Applications
