In this paper, we investigate singular value and unitarily invariant norm inequalities for matrices, introducing several novel findings. Our results generalize and improve some existing singular value inequalities. A primary result of our study is the following inequality: \(\begin{aligned} {s_j}\left( {TX{S^*} + SY{T^*}} \right) \le \left( {\left\| T \right\| \left\| S \right\| + \min \left\{ {w\left( {T{S^*}} \right) ,w\left( {{T^*}S} \right) } \right\} } \right) {s_j}\left( {X \oplus Y} \right) . \end{aligned}\) Here, \(T, S, X, Y\in {\mathbb {M}_n}\left( \mathbb {C} \right) \) , with X, Y being positive semidefinite matrices, and \(j=1,\ldots ,n.\) By establishing these results, we contribute to a deeper understanding of matrix inequalities and their applications in mathematical analysis.