EXPLORING AI-GENERATED VISUAL THEMES IN ASIAN ART AS A FOUNDATION FOR ADVANCING DIGITAL ART RESEARCH

This study aims to analyze emerging trends, and visual themes present in AI generated artworks across Asia by employing Descriptive, Predictive, and Prescriptive Analytics using the Tableau platform. The dataset utilized in this research comprises 10,000 AI generated image entries, focusing specifically on attributes such as digital art genre, production time, and Asian regional context. Through comprehensive analytical stages, the study examines how AI models construct visual styles, reinterpret artistic traditions, and synthesize cultural elements within the broader landscape of contemporary digital art. The primary challenge addressed in this research concerns the difficulty of identifying promising digital art genres for further exploration. This complexity arises from the increasingly diverse stylistic variations, the continuous evolution of visual themes, and the limitations in categorizing AI generated artworks that blend multiple genres or introduce novel styles that lack clear definition. To address these challenges, the methodological framework consists of four major stages: data acquisition and preprocessing using publicly available datasets, feature extraction and exploratory data analysis to uncover meaningful patterns and genre distributions, predictive and prescriptive analytics to determine potential genre trajectories and provide actionable recommendations and validation and interpretation to ensure analytical robustness and contextual relevance. The findings highlight the importance of sustained thematic innovation, deeper exploration of visual styles, and deliberate integration of localized cultural motifs to ensure that AI generated art remains relevant, competitive, and culturally grounded within Asian markets. Furthermore, strategic recommendations are formulated for each identified genre category to enhance artistic quality and strengthen the market positioning of AI generated digital artworks. This research is expected to contribute significantly to the advancement of AI driven artistic production in Asia by offering insights that are technical, aesthetic, and cultural in nature, ultimately supporting the development of more informed, sustainable, and contextually responsive digital art practices.