diff --git a/src/plugins/intel_gpu/src/graph/graph_optimizer/prepare_primitive_fusing.cpp b/src/plugins/intel_gpu/src/graph/graph_optimizer/prepare_primitive_fusing.cpp
index 679c7a5eaad..8f1d0e4c93f 100644
--- a/src/plugins/intel_gpu/src/graph/graph_optimizer/prepare_primitive_fusing.cpp
+++ b/src/plugins/intel_gpu/src/graph/graph_optimizer/prepare_primitive_fusing.cpp
@@ -291,7 +291,7 @@ void prepare_primitive_fusing::fuse_activations(program &p) {
             }
 
             if (use_onednn_impls) {
-                if (input.is_type<reshape>())
+                if (input.is_type<reshape>() || input.is_type<concatenation>())
                     return;
                 #ifdef ENABLE_ONEDNN_FOR_GPU
                 // Activation should not be fused if it isn't supported in onednn
diff --git a/src/plugins/intel_gpu/src/graph/layout_optimizer.cpp b/src/plugins/intel_gpu/src/graph/layout_optimizer.cpp
index 027aa465d59..d60332818a8 100644
--- a/src/plugins/intel_gpu/src/graph/layout_optimizer.cpp
+++ b/src/plugins/intel_gpu/src/graph/layout_optimizer.cpp
@@ -1284,7 +1284,13 @@ impl_types layout_optimizer::get_forced_impl_type_by_config(program_node& node)
                 return impl_types::ocl;
             else if (forced_impl_type == "reduce:onednn")
                 return impl_types::onednn;
-        }
+        } else if (node.is_type<concatenation>()) {
+            if (forced_impl_type == "concat:ocl")
+                return impl_types::ocl;
+            else if (forced_impl_type == "concat:onednn")
+                return impl_types::onednn;
+         }
+
 
         // Forcing one layer
         size_t found_type = forced_impl_type.rfind(":");
diff --git a/src/plugins/intel_gpu/tests/fusions/concatenate_fusion_test.cpp b/src/plugins/intel_gpu/tests/fusions/concatenate_fusion_test.cpp
index 071f6169df4..9c00d05281c 100644
--- a/src/plugins/intel_gpu/tests/fusions/concatenate_fusion_test.cpp
+++ b/src/plugins/intel_gpu/tests/fusions/concatenate_fusion_test.cpp
@@ -136,7 +136,7 @@ TEST_P(concat_onednn_eltwise, along_f) {
 }
 
 INSTANTIATE_TEST_SUITE_P(fusings_gpu, concat_onednn_activation, ::testing::ValuesIn(std::vector<concat_test_params>{
-    concat_test_params{ CASE_CONCAT_F16_1, 3, 3, "" },
+    concat_test_params{ CASE_CONCAT_F16_1, 4, 4, "" },
 }));
 
 INSTANTIATE_TEST_SUITE_P(fusings_gpu, concat_onednn_eltwise, ::testing::ValuesIn(std::vector<concat_test_params>{
diff --git a/src/plugins/intel_gpu/tests/fusions/convolution_fusion_test.cpp b/src/plugins/intel_gpu/tests/fusions/convolution_fusion_test.cpp
index 510098412b3..d4ced95e7c3 100644
--- a/src/plugins/intel_gpu/tests/fusions/convolution_fusion_test.cpp
+++ b/src/plugins/intel_gpu/tests/fusions/convolution_fusion_test.cpp
@@ -1118,6 +1118,7 @@ INSTANTIATE_TEST_SUITE_P(fusings_gpu, conv_fp32_multi_eltwise_quantization, ::te
 class conv_fp32_multi_eltwise_concat : public ConvFusingTest {};
 TEST_P(conv_fp32_multi_eltwise_concat, basic) {
     auto p = GetParam();
+    data_types output_type = data_types::i8;
     create_topologies(
         input_layout("input", get_input_layout(p)),
         data("eltwise_data1", get_mem(get_output_layout(p))),
@@ -1129,15 +1130,15 @@ TEST_P(conv_fp32_multi_eltwise_concat, basic) {
         eltwise("eltwise2", "conv_prim", "eltwise_data2", eltwise_mode::sum),
         concatenation("concat",
             { "eltwise1", "eltwise2" },
-            1,
-            data_types::i8,
+            2,
+            output_type,
             padding{ { 0, 0, 0, 0 }, 0 }),
         reorder("reorder_bfyx", "concat", p.default_format, data_types::f32)
     );
     implementation_desc conv_impl = { format::b_fs_yx_fsv16, "" };
     bo_fused.set_option(build_option::force_implementations({ { "conv_prim", conv_impl } }));
 
-    tolerance = default_tolerance(p.default_type);
+    tolerance = default_tolerance(output_type);
     execute(p);
 }