## 1 Introduction  
To what extent will digital technology expand? Globally, digital technology has induced changes across industrial fields, with the fashion industry being no exception. Digital technology has significantly changed every process in the industry, from planning and producing fashion products to their sales [1]. Fashion technology, along with its innovative tools, is pivotal for transforming the industry from design to manufacturing to sales. These digital technologies have changed global fashion design trends. Gen Z continues to spend time in digital spaces, purchasing and wearing digital fashion. The virtual-world platform Roblox has witnessed 165 billion avatar updates and the purchase of 1.65 billion digital fashion items. For users, styling avatars is considered more important than styling themselves [2]. Environments such as artificial intelligence (AI), three-dimensional (3D), metaverses, and non-fungible tokens (NFTs) are creating new trends in fashion design for consumers. Therefore, we highlight the need to combine new fashion design trends with digital technology and to explore this objectively through big data analysis. Recent studies in the fashion field have used big data to discover new value from reliable information for future predictions [3]. In addition, fashion design based on big data could clarify research and reflect objective data mining results in a manner that might otherwise be subjective, allowing for design focuses that align with consumer needs [4]. Previous research on digital technology and fashion has primarily focused on case studies of fashion designers or fashion companies, on qualitative research, on the creation or review of fashion design models using digital technology, on analyzing various cases and trends combining digital technology with fashion, and on the perception of changes in fashion industry trends [5; 6; 7; 8; 9; 10]. In addition, previous studies using big data have centered on comparatively analyzing fashion trends, offering perspectives of fashion technology through text mining, analyzing service experience in the metaverse, the meaning and structure of meta fashion, and articles related to smart factories [3; 4; 11; 12; 13; 14; 15]. These studies have only analyzed various cases and trends related to the integration of fashion with digital technology, and studies that used big data are limited to comparative analyses of fashion trends or text mining from a fashion technology perspective. Such approaches have limitations in analyzing specific elements and changes in fashion design that are influenced by technological advancements. Therefore, we propose a new approach, using big data to analyze the impact of fashion technology trends systematically, and specifically, on fashion design. This approach introduces an innovative research method in the field of fashion design by utilizing big data analysis to specify and clarify abstract design elements and characteristics, thereby providing guidance for creative and timely design development. Since there have been no previous instances of applying big data to design elements in the field of fashion design research, this represents an innovative research method. This study investigates these trends inspired by digital technology, analyzes specific design elements and characteristics, and explores their inherent meanings through text-mining analysis of big data. This study aimed to answer the following questions:  
1. What keywords conceptualize global fashion trends inspired by digital technology? 2. What are the main design elements and characteristics of global fashion trends inspired by digital technology? 3. What are the future directions and implications of fashion trends and design features inspired by digital technology? The significance of this study is that it represents the convergence of design and big data field studies and analyzes the ever-evolving digital technology fashion trends and fashion design fields using big data.