摘 要：
本文主要研究大数据分析技术在产教融合人才需求预测中的应用，选取长三角地区制造业为研究对象。本文首先阐述了大数据分析在人才需求预测中的重要性，同时对长三角地区制造业的发展背景进行了分析。基于大数据分析方法，对长三角地区制造业的人才需求进行了定量预测，并进行了实证分析。结果表明，大数据分析技术能有效预测长三角地区制造业的人才需求趋势，这对于区域经济发展和人才政策制定具有指导意义。同时，产教融合也是人才培养的一种有效途径，文章从数据结果上验证了这一观点。研究结果表明，大数据预测和产教融合在人才需求预测中具有可行性和理论价值，为区域人才需求预测提供了新的视角。
关键词：大数据分析; 产教融合; 人才需求预测; 长三角制造业
Abstract:
This paper mainly studies the application of big data analysis technology in forecasting talent demand for industry-education integration, taking the manufacturing industry in the Yangtze River Delta region as the research object. First, this article elaborates on the importance of big data analysis in talent demand forecasting and analyzes the development background of the manufacturing industry in the Yangtze River Delta region. Based on big data analysis methods, a quantitative forecast of talent demand in the manufacturing industry of the Yangtze River Delta is conducted, and empirical analysis is performed. The results indicate that big data analysis technology can effectively predict the talent demand trends in the manufacturing industry of the Yangtze River Delta, which holds guiding significance for regional economic development and talent policy formulation. At the same time, industry-education integration is also an effective way to cultivate talent. This paper validates this viewpoint through data results. The research findings demonstrate that big data forecasting and industry-education integration are feasible and have theoretical value in talent demand forecasting, providing a new perspective for regional talent demand prediction.
Keywords: Big data analysis; Industry-education integration; Talent demand forecasting; Yangtze River Delta manufacturing industry
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