diff --git a/src/runtime/cpu/operators/CpuConcatenate.cpp b/src/runtime/cpu/operators/CpuConcatenate.cpp
new file mode 100644
index 0000000..2094e65
--- /dev/null
+++ b/src/runtime/cpu/operators/CpuConcatenate.cpp
@@ -0,0 +1,173 @@
+/*
+ * Copyright (c) 2018-2021 Arm Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "src/runtime/cpu/operators/CpuConcatenate.h"
+
+#include "src/core/cpu/kernels/CpuConcatenateBatchKernel.h"
+#include "src/core/cpu/kernels/CpuConcatenateDepthKernel.h"
+#include "src/core/cpu/kernels/CpuConcatenateHeightKernel.h"
+#include "src/core/cpu/kernels/CpuConcatenateWidthKernel.h"
+
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "arm_compute/runtime/NEON/NEScheduler.h"
+
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/Validate.h"
+#include "src/core/helpers/AutoConfiguration.h"
+
+namespace arm_compute
+{
+namespace cpu
+{
+CpuConcatenate::CpuConcatenate()
+    : _concat_kernels(), _num_srcs(0), _axis(0)
+{
+}
+
+void CpuConcatenate::configure(const std::vector<const ITensorInfo *> &srcs_vector, ITensorInfo *dst, size_t axis)
+{
+    ARM_COMPUTE_ERROR_ON(dst == nullptr);
+
+    _axis     = axis;
+    _num_srcs = srcs_vector.size();
+
+    TensorShape dst_shape = arm_compute::misc::shape_calculator::calculate_concatenate_shape(srcs_vector, axis);
+
+    // Output auto inizialitation if not yet initialized
+    auto_init_if_empty(*dst, dst_shape, 1, srcs_vector[0]->data_type());
+    ARM_COMPUTE_ERROR_THROW_ON(CpuConcatenate::validate(srcs_vector, dst, axis));
+
+    unsigned int offset = 0;
+
+    for(unsigned int i = 0; i < _num_srcs; ++i)
+    {
+        switch(axis)
+        {
+            case Window::DimX:
+            {
+                auto kernel = std::make_unique<kernels::CpuConcatenateWidthKernel>();
+                kernel->configure(srcs_vector.at(i), offset, dst);
+                _concat_kernels.emplace_back(std::move(kernel));
+                break;
+            }
+            case Window::DimY:
+            {
+                auto kernel = std::make_unique<kernels::CpuConcatenateHeightKernel>();
+                kernel->configure(srcs_vector.at(i), offset, dst);
+                _concat_kernels.emplace_back(std::move(kernel));
+                break;
+            }
+            case Window::DimZ:
+            {
+                auto kernel = std::make_unique<kernels::CpuConcatenateDepthKernel>();
+                kernel->configure(srcs_vector.at(i), offset, dst);
+                _concat_kernels.emplace_back(std::move(kernel));
+                break;
+            }
+            case 3:
+            {
+                auto kernel = std::make_unique<kernels::CpuConcatenateBatchKernel>();
+                kernel->configure(srcs_vector.at(i), offset, dst);
+                _concat_kernels.emplace_back(std::move(kernel));
+                break;
+            }
+            default:
+                ARM_COMPUTE_ERROR("Axis not supported");
+        }
+        offset += srcs_vector.at(i)->dimension(axis);
+    }
+}
+
+Status CpuConcatenate::validate(const std::vector<const ITensorInfo *> &srcs_vector, const ITensorInfo *dst, size_t axis)
+{
+    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(dst);
+    ARM_COMPUTE_RETURN_ERROR_ON(srcs_vector.size() < 2);
+
+    unsigned int offset = 0;
+    for(const auto &src : srcs_vector)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src);
+        switch(axis)
+        {
+            case Window::DimX:
+            {
+                ARM_COMPUTE_RETURN_ON_ERROR(kernels::CpuConcatenateWidthKernel::validate(src, offset, dst));
+                break;
+            }
+            case Window::DimY:
+            {
+                ARM_COMPUTE_RETURN_ON_ERROR(kernels::CpuConcatenateHeightKernel::validate(src, offset, dst));
+                break;
+            }
+            case Window::DimZ:
+            {
+                ARM_COMPUTE_RETURN_ON_ERROR(kernels::CpuConcatenateDepthKernel::validate(src, offset, dst));
+                break;
+            }
+            case 3:
+            {
+                ARM_COMPUTE_RETURN_ON_ERROR(kernels::CpuConcatenateBatchKernel::validate(src, offset, dst));
+                break;
+            }
+            default:
+                ARM_COMPUTE_ERROR("Axis not supported");
+        }
+        offset += src->dimension(axis);
+    }
+
+    if(dst->total_size() != 0)
+    {
+        TensorShape dst_shape = arm_compute::misc::shape_calculator::calculate_concatenate_shape(srcs_vector, axis);
+        ARM_COMPUTE_RETURN_ERROR_ON(dst_shape.total_size() != dst->tensor_shape().total_size());
+    }
+
+    return Status{};
+}
+
+void CpuConcatenate::run(ITensorPack &tensors)
+{
+    if(tensors.empty())
+    {
+        ARM_COMPUTE_ERROR("No inputs provided");
+    }
+
+    if(static_cast<int>(tensors.size() - 1) != static_cast<int>(_num_srcs))
+    {
+        ARM_COMPUTE_ERROR("Configured with different number of inputs");
+    }
+
+    int i = 0;
+    for(auto &k : _concat_kernels)
+    {
+        ITensorPack pack;
+        pack.add_tensor(TensorType::ACL_SRC, tensors.get_const_tensor(ACL_SRC_VEC + i));
+        pack.add_tensor(TensorType::ACL_DST, tensors.get_tensor(ACL_DST));
+        NEScheduler::get().schedule_op(k.get(), Window::DimY, pack);
+        ++i;
+    }
+}
+} // namespace cpu
+} // namespace arm_compute