随着数字经济的蓬勃发展,平台企业发展势头迅猛,市场竞争变得愈发复杂与激烈,垄断行为也呈现出隐蔽性和多样化的特点。我国传统的反垄断监管模式大多依赖人工进行审查,在规制更加隐蔽和复杂的垄断行为时出现了监管滞后、效率低下、覆盖面小等问题,因此亟需借助数字化技术对反垄断监管进行革新,促进反垄断监管的数字化转型。数字化转型的核心在于数据资源的整合与利用,通过将大数据、人工智能等高新技术作为辅助工具,协助反垄断监管机构对市场行为进行实时监控和精准分析,不仅有利于提高监管的精准度和效率,还能降低监管成本,为市场主体提供一个更加透明、公平的竞争环境,更好地应对数字经济时代的新情况和新问题。With the robust advancement of the digital economy, platform enterprises are experiencing rapid growth, leading to increasingly intricate and intense market competition, alongside the emergence of concealed and diversified monopolistic practices. Traditional Chinese antitrust regulatory frameworks, which predominantly rely on manual scrutiny, encounter challenges such as regulatory delays, inefficiency, and limited scope when addressing more covert and sophisticated monopolistic activities. Consequently, there is an urgent need to leverage digital technologies to reform antitrust oversight, thereby facilitating the digital transformation of antitrust regulation. The essence of this digital transformation hinges on the integration and exploitation of data resources. Utilizing advanced technologies like big data and artificial intelligence as auxiliary tools can aid antitrust regulators in real-time surveillance and precise analysis of market behaviors. This approach not only enhances the precision and efficacy of regulatory efforts but also reduces regulatory expenses and fosters a more transparent and equitable competitive landscape for market participants, better equipping them to address novel circumstances and challenges in the digital economy era.
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