diff --git a/tests/validation/CL/BatchConcatenateLayer.cpp b/tests/validation/CL/BatchConcatenateLayer.cpp
index 81b6ca1..e5de3a7 100644
--- a/tests/validation/CL/BatchConcatenateLayer.cpp
+++ b/tests/validation/CL/BatchConcatenateLayer.cpp
@@ -39,6 +39,37 @@
 {
 namespace validation
 {
+namespace
+{
+/** Zero padding test */
+bool validate_zero_padding(unsigned int width, unsigned int height, unsigned int channels, unsigned int batches, DataType data_type)
+{
+    TensorShape src_shape(width, height, channels, batches);
+    TensorShape dst_shape(width, height, channels, batches * 2);
+
+    // Create tensors
+    CLTensor src0 = create_tensor<CLTensor>(src_shape, data_type);
+    CLTensor src1 = create_tensor<CLTensor>(src_shape, data_type);
+    CLTensor dst  = create_tensor<CLTensor>(dst_shape, data_type);
+
+    src0.info()->set_quantization_info(QuantizationInfo(1.f / 256.f, 0));
+    src1.info()->set_quantization_info(QuantizationInfo(1.f / 256.f, 0));
+    dst.info()->set_quantization_info(QuantizationInfo(1.f / 256.f, 0));
+
+    ARM_COMPUTE_EXPECT(src0.info()->is_resizable(), framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT(src1.info()->is_resizable(), framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+    std::vector<const ICLTensor *> srcs = { &src0, &src1 };
+
+    // Create and configure function
+    CLConcatenateLayer concat;
+    concat.configure(srcs, &dst, 3U);
+
+    // Padding can be added along rhs and bias's X dimension
+    return src0.info()->padding().empty() && src1.info()->padding().empty() && dst.info()->padding().empty();
+}
+}
 TEST_SUITE(CL)
 TEST_SUITE(BatchConcatenateLayer)
 
@@ -80,6 +111,27 @@
     bool is_valid = bool(CLConcatenateLayer::validate(inputs_vector_info_raw, &output_info.clone()->set_is_resizable(false), 3));
     ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
 }
+
+/** Validate zero padding tests
+ *
+ * A series of validation tests to check that no padding is added as part of configuration for 4 different scenarios.
+ *
+ * Checks performed in order:
+ *     - First dimension multiple of 16
+ *     - First dimension non-multiple of 16
+ *     - First dimension less than 16 (vec_size for qasymm8) but multiple
+ *     - First dimension less than 16 (vec_size for qasymm8) non-multiple
+ *     - Tensor with only one element
+ */
+DATA_TEST_CASE(ValidateZeroPadding, framework::DatasetMode::ALL, zip(
+framework::dataset::make("Width",    { 32U, 37U, 12U, 13U, 1U }),
+framework::dataset::make("DataType", { DataType::F32, DataType::QASYMM8 })),
+width, data_type)
+{
+    const bool one_elem = (width == 1U);
+    bool status = validate_zero_padding(width, one_elem ? 1U : 17U, one_elem ? 1U : 7U, one_elem ? 1U : 2U, data_type);
+    ARM_COMPUTE_EXPECT(status, framework::LogLevel::ERRORS);
+}
 // clang-format on
 // *INDENT-ON*