Analysis of hot trends and development vein of AIGC image art design based on big data

In the context of the digital age, Artificial Intelligence Generated Content ( AIGC ) technology is profoundly affecting the creation mode and development path of the art and design field. This paper adopts TEXTOM system, a big data collection platform, and CONCOR, a semantic clustering analysis method, to systematically sort out and reveal the research hotspots, development veins, frontiers and trends of China's AIGC art and design field from the perspectives of text mining and semantic networks. The study found that China's AIGC art and design field is currently focusing on generative creation methods and evaluation, human-computer collaboration process upgrading, multimodal collaborative interaction design optimization, digital restoration and re-creation of non-heritage, and iterative image and modeling technology. In the future, the integration of multimodal perception technology, interdisciplinary innovation, optimization of system elements and culture-driven intelligent applications to promote the sustainable development and digital transformation of the design industry will be the development trend of China's AIGC art and design field.