IDC Releases 2024 China Database Security Auditing Market Share Report
AI - Empowered Transformation of Database Auditing in Focus
Beijing, July 17, 2025
International Data Corporation (IDC) has officially released its research report on China's database security audit market share - "China Database Security Audit Market Share, 2024: AI Drives Intelligent Audit Transformation"《中国数据库安全审计市场份额，2024：AI推动智能化审计转型》 (Doc #CHC53571325, July 2025). The report provides detailed research on the size, growth rate, major players, and market/technology trends of China's database security audit market in 2024.
IDC data shows that China's database security audit market reached 1.24 billion yuan in 2024, achieving a year-on-year growth of 3.6% compared to 2023. In terms of market share, major players include Venustech, DAS-security, Alibaba, DBSEC, and Meichuang. See the figure below for details:
Under IDC's definition, database auditing is a network security auditing product deployed on database servers or network boundaries. It audits database user authorisation, data additions/deletions/modifications/queries, etc. Database auditing is the process of tracking, recording, analysing, and reporting database operations, enabling monitoring of database access and activities to promptly detect and respond to security incidents.
IDC research indicates that technology service providers should focus on the following trends:
Comprehensive AI/GenAI empowerment, redefining intelligent auditing: Deep integration of generative AI technology drives the evolution of database auditing from "rule execution" to "autonomous decision-making security agents." By enhancing natural language parsing with large language models (LLM), it accurately identifies sensitive operations in variant SQL statements and builds dynamic baselines for user behaviour, ultimately achieving autonomous agent decision-making.
Focus on the AI security market: To address the growing demands in AI security, extend database auditing capabilities to the blue ocean market of AI security. Leveraging deep expertise in data security auditing technology, precisely target emerging risk scenarios such as unauthorised scraping of model training database data and sensitive data leaks, building a comprehensive, intelligent, and dynamic protection system to establish a reliable barrier for AI ecosystem data security.
Anchoring the Platformization Trend in Security: As data security architectures rapidly evolve toward platformization, the value of database auditing as a core foundational capability becomes increasingly prominent. It will continue to provide comprehensive, fine-grained security data to support in-depth analysis for security platforms, becoming the critical "lifeblood" of platform-based defence systems. Technology providers must proactively drive deep integration between database auditing capabilities and security platforms to seize technical advantages in dynamically changing market demands and solidify the foundational layer of intelligent security ecosystems.
Analyst Views
IDC China Cybersecurity Analyst Chen Jia stated that database auditing is a critical component of data security infrastructure, playing an irreplaceable role in identifying and preventing data access risks. With the deepening of digital transformation and the advent of the AI era, the functional requirements and application scenarios of database auditing products are undergoing significant expansion, which also provides broader space for technological development. To address the new generation of data security protection needs, technology providers are actively exploring ways to deeply integrate AI large model capabilities into database auditing products, focusing on building core support for intelligent data security protection systems.
