The development of 6G technology evolves vehicle-to-everything (V2X) communication, improving connectivity, safety, and efficiency. However, the widespread interchange of data raises serious privacy and security concerns. This paper investigates the use of homomorphic encryption (HE) for confidentiality-preserving computation in 6G V2X networks. By providing safe computations on encrypted data, HE reduces the risk of disclosing raw sensor readings while maintaining real-time decision-making in vehicular networks. The study compares standard encryption approaches to the suggested HE-based approach, with a focus on computational overhead and scalability. Future research focuses on lightweight Partial Homomorphic Encryption (PHE) techniques, safe Roadside Unit (RSU) deployment, and differential privacy integration. This study establishes the groundwork for a secure and efficient V2X communication infrastructure, resulting in safer and more robust transportation networks.