This study investigates the application of the 5 V framework—Volume, Variety, Velocity, Veracity, and Value—in addressing the complex data management challenges in the evolving ArtTech domain. As digital art production, distribution, and preservation continue to grow, the need for robust frameworks to manage massive, diverse datasets has become increasingly critical. By employing a mixed-methods approach, including qualitative interviews and case studies, this research explores how blockchain, AI, and augmented reality technologies can be integrated within the 5 V framework to enhance data scalability, real-time processing, and content authenticity. The findings demonstrate that the 5 V framework provides effective solutions for overcoming challenges related to data volume and variety, while ensuring the veracity of digital art transactions through blockchain-enabled provenance systems. Additionally, the study highlights the potential for future innovations in user engagement and market transactions, particularly through NFTs and AI-driven artistic creation. These insights contribute to the academic discourse on ArtTech and offer practical implications for the art market, cultural preservation, and the democratization of art education. The research paves the way for further studies on ethical AI usage, scalability of immersive technologies, and the regulatory challenges in digital art.