Risk Identification and Regulation Optimization of Platform Data Monopoly in the Context of Digital Economy

在数字经济蓬勃发展的背景下，数字平台凭借对大规模数据的独占性获取和算法主导的行为决策，催生出新型垄断现象，挑战了传统反垄断监管范式。通过系统分析其对竞争生态的影响，并评估现行反垄断法律规制在数字经济下的适应性不足，如市场界定模糊、数据控制权认定困难、算法协同行为难以捕捉等问题。同时提出了反垄断规则调整的方向，包括加强对各类数据垄断行为的监管以及引入更加灵活的市场定义标准，从而提升针对数字平台反垄断治理的前瞻性与适应性，构建公平有序的数据竞争秩序，护航数字经济高质量发展。Against the backdrop of the vigorous development of the digital economy, digital platforms, by virtue of their exclusive access to large-scale data and algorithm-driven behavioral decisions, have given rise to new forms of monopolistic phenomena, challenging the traditional antitrust regulatory paradigm. Through a systematic analysis of their impact on the competitive ecosystem and an assessment of the inadequacies of current antitrust legal regulations in the digital economy, such as ambiguous market definition, difficulties in determining data control rights, and the difficulty in capturing algorithmic coordinated behaviors, this paper proposes directions for adjusting antitrust rules, including strengthening the supervision of various data monopolistic behaviors and introducing more flexible market definition standards. This will enhance the foresight and adaptability of antitrust governance for digital platforms, build a fair and orderly data competition order, and safeguard the high-quality development of the digital economy.