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2025年中国票务系统应用行业产业链、发展现状及发展趋势研判:票务系统应用市场规模不断扩大 [图]
Chan Ye Xin Xi Wang· 2025-04-25 01:12
Core Insights - The ticketing system application industry in China is experiencing continuous growth driven by the rapid economic development and upgrading of consumer spending structures, with a market size projected to increase from approximately 328.22 billion yuan in 2022 to 407.83 billion yuan by 2024, indicating a strong growth potential [1][11]. Industry Definition and Classification - Ticketing system applications are software solutions based on computer and network technologies aimed at automating ticket management, sales, verification, and data analysis across various sectors such as events, performances, sports, tourism, and public transportation [2][4]. Industry Chain Analysis - The industry chain of ticketing systems consists of upstream technology and data support, midstream system development and operation, and downstream application scenarios and end-users, ensuring efficient service and stable operation [4]. Development History - The industry has evolved through three stages: initial manual operations in the 1980s-90s, the development phase with the rise of online platforms in the early 2000s, and the current mature phase characterized by mobile and intelligent advancements [6]. Current Industry Status - In 2022, the sales volume of performance tickets reached 71.62 million, with an average ticket price increasing from 100.5 yuan in 2013 to 125.5 yuan in 2022, reflecting a growing demand for ticketing systems to meet higher technical requirements [9][13]. Key Enterprises Analysis - Major players in the industry include Ctrip, Maoyan Entertainment, and Damai, each leveraging their strengths in technology and market presence to cater to diverse consumer needs, while also engaging in collaborations and mergers to foster innovation [15][19]. Future Development Trends - The industry is expected to see trends such as the rise of mobile and contactless services, cross-industry integration, and enhanced user experience optimization, driven by advancements in technology and changing consumer preferences [21][22][24].