diff --git a/modules/core/src/matrix_transform.cpp b/modules/core/src/matrix_transform.cpp
index fd9485d271..309d8d7ec2 100644
--- a/modules/core/src/matrix_transform.cpp
+++ b/modules/core/src/matrix_transform.cpp
@@ -1335,6 +1335,8 @@ void broadcast(InputArray _src, InputArray _shape, OutputArray _dst) {
             #undef OPENCV_CORE_BROADCAST_LOOP
         }
     } else {
+        if (dst.total() == 0)
+            return;
         // initial copy (src to dst)
         std::vector<size_t> step_src{src.step.p, src.step.p + dims_src};
         if (step_src.size() < static_cast<size_t>(dims_shape)) {
diff --git a/modules/core/test/test_arithm.cpp b/modules/core/test/test_arithm.cpp
index 7eb642b51d..ffe6ead18e 100644
--- a/modules/core/test/test_arithm.cpp
+++ b/modules/core/test/test_arithm.cpp
@@ -2628,6 +2628,23 @@ TEST(BroadcastTo, basic) {
         broadcast(_src, shape, dst);
         fn_verify(ref, dst);
     }
+
+    {
+        std::vector<int> shape{1, 0};
+        std::vector<int> data;
+        Mat zero_src(static_cast<int>(shape.size()), shape.data(), CV_32FC1, data.data());
+
+        std::vector<int> target_shape{3, 0};
+        Mat dst;
+
+        broadcast(zero_src, target_shape, dst);
+
+        EXPECT_EQ(dst.dims, 2);
+        EXPECT_EQ(dst.size[0], 3);
+        EXPECT_EQ(dst.size[1], 0);
+        EXPECT_EQ(dst.total(), 0u);
+    }
+
 }
 
 TEST(Core_minMaxIdx, regression_9207_2)