Qi An Xin Technology (SH:688561) Nan Fang Du Shi Bao·2025-04-30 09:24Group 1 - The year 2025 is anticipated to be a turning point for AI application, driven by large models, leading to new creativity across various industries [1] - Despite the increasing total data production, the growth rate of the data security market has not been ideal, with a predicted surge in demand as the risks associated with data loss become more pronounced [1][5] - The report from the National Data Resource Survey (2024) indicates that the annual data production in China will reach 41.06 zettabytes (ZB), a 25% year-on-year increase [5] Group 2 - "Small data security" is emerging as a core focus in the digital economy, where AI models can refine large datasets into high-value, concentrated "small data" [3] - The integration of large models into critical sectors like smart cities and industrial control systems poses significant risks, as unprotected models can lead to widespread operational failures [4] - Over-reliance on AI for decision-making can create a "butterfly effect," where errors in model outputs can have cascading consequences [4] Group 3 - The current state of the data security market is characterized by a lack of urgency in investment, as companies often only react to data breaches rather than proactively securing their data [5][6] - The shift towards high-density "small data" will necessitate increased investment in data security, as the consequences of data loss become more severe [5][6] - The network security industry is expected to see new growth opportunities due to the complexities introduced by AI and emerging business scenarios [6] Group 4 - The "vehicle-road-cloud integration" development path is recognized as a key infrastructure for the future, with significant market potential as government policies support investment in this area [7] - Ensuring data security compliance in this sector is crucial for maintaining traffic order and public safety [7]