  The rapid growth and popularity of large language model (LLM) app stores have
created new opportunities and challenges for researchers, developers, users,
and app store managers. As the LLM app ecosystem continues to evolve, it is
crucial to understand the current landscape and identify potential areas for
future research and development. This paper presents a forward-looking analysis
of LLM app stores, focusing on key aspects such as data mining, security risk
identification, development assistance, etc. By examining these aspects, we aim
to provide a vision for future research directions and highlight the importance
of collaboration among stakeholders to address the challenges and opportunities
within the LLM app ecosystem. The insights and recommendations provided in this
paper serve as a foundation for driving innovation, ensuring responsible
development, and creating a thriving, user-centric LLM app landscape.
