当下，数据与AI的深度融合已成为释放数据价值、驱动智能决策的关键路径。然而，传统数据架构在应对海量多模态数据与实时需求时局限较大，且数据管理与AI开发流程严重割裂，导致协作效率低下、治理合规风险凸显。为了应对这些挑战，市场正从采购分散的单点工具，加速向构建覆盖数据集成、治理、分析及AI开发全流程的一体化数据智能融合解决方案演进，旨在通过统一平台降低复杂度、提升协作效率，最终缩短AI价值落地周期。
Currently, the deep integration of data and AI has become a critical pathway for unleashing data value and driving intelligent decision-making. However, traditional data architectures face significant limitations in handling massive multimodal data and meeting real-time demands. Moreover, the severe disconnection between data management and AI development processes leads to low collaboration efficiency and prominent governance and compliance risks. To address these challenges, the market is accelerating its shift from purchasing scattered point solutions toward building integrated Data + AI Solutions that cover the entire workflow from data integration, governance, and analytics to AI development. This evolution aims to reduce complexity through a unified platform, enhance collaboration efficiency, and ultimately shorten the time-to-value for AI initiatives.
如果您对中国数据智能融合解决方案市场有进一步的研究需求，请联系我们：
沙利文 宋女士
E-mail: anqi.song@frostchina.com
