diff --git a/delegate/opaque/src/Reduce.hpp b/delegate/opaque/src/Reduce.hpp
index e169697..afea7aa 100644
--- a/delegate/opaque/src/Reduce.hpp
+++ b/delegate/opaque/src/Reduce.hpp
@@ -2,3 +2,166 @@
 // Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
+#pragma once
+
+#include <OpaqueDelegateUtils.hpp>
+
+namespace armnnOpaqueDelegate
+{
+
+TfLiteStatus VisitReduceOperator(DelegateData& delegateData,
+                                 TfLiteOpaqueContext* tfLiteContext,
+                                 TfLiteOpaqueNode* tfLiteNode,
+                                 int nodeIndex,
+                                 int32_t reduceOperatorCode)
+{
+    TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex));
+    TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
+
+    // Gather input indices and use to get input tensor.
+    auto numInputs = TfLiteOpaqueNodeNumberOfInputs(tfLiteNode);
+    const int* inputTensors;
+    if (TfLiteOpaqueNodeInputs(tfLiteNode, &inputTensors, &numInputs) != kTfLiteOk)
+    {
+        TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(
+                tfLiteContext,
+                "TfLiteArmnnOpaqueDelegate: Unable to gather input tensor indices from node #%d: ",
+                nodeIndex);
+        return kTfLiteError;
+    }
+
+    const TfLiteOpaqueTensor* tfLiteInputTensor =
+            TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[0]);
+    if (!IsValid(tfLiteContext, tfLiteInputTensor, reduceOperatorCode, nodeIndex))
+    {
+        return kTfLiteError;
+    }
+
+    const TfLiteOpaqueTensor* tfLiteAxisTensor =
+            TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[1]);
+    if (!IsValid(tfLiteContext, tfLiteAxisTensor, reduceOperatorCode, nodeIndex))
+    {
+        return kTfLiteError;
+    }
+
+    // Gather output indices and use to get output tensors.
+    int numOutputs = 0;
+    const int* outputTensors;
+    if (TfLiteOpaqueNodeOutputs(tfLiteNode, &outputTensors, &numOutputs) != kTfLiteOk)
+    {
+        TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(
+                tfLiteContext,
+                "TfLiteArmnnOpaqueDelegate: Unable to gather output tensor indices from node #%d: ",
+                nodeIndex);
+        return kTfLiteError;
+    }
+
+    const TfLiteOpaqueTensor* tfLiteOutputTensor =
+            TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, outputTensors[0]);
+    if (!IsValid(tfLiteContext, tfLiteOutputTensor, reduceOperatorCode, nodeIndex))
+    {
+        return kTfLiteError;
+    }
+
+    const armnn::TensorInfo& inputTensorInfo  = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor);
+    const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, true);
+
+    // Get const axis value from model and set it to descriptor.
+    const armnn::TensorInfo& axisTensorInfo =   GetTensorInfoForTfLiteOpaqueTensor(tfLiteAxisTensor);
+    auto* axisTensorData = static_cast<int*>(TfLiteOpaqueTensorData(tfLiteAxisTensor));
+
+    std::vector<int32_t> axis;
+    // Add axis data to vector to be converter to unsigned int and assigned to descriptor axis.
+    if (axisTensorData != nullptr)
+    {
+        for (unsigned int i = 0; i < axisTensorInfo.GetNumElements(); ++i)
+        {
+            axis.emplace_back(axisTensorData[i]);
+        }
+    }
+    else
+    {
+        for (unsigned int i = 0; i < inputTensorInfo.GetNumDimensions(); ++i)
+        {
+            axis.push_back(i);
+        }
+    }
+
+    // Convert the axis to unsigned int and remove duplicates.
+    unsigned int rank = inputTensorInfo.GetNumDimensions();
+    std::set<unsigned int> uniqueAxis;
+    std::transform(axis.begin(),
+                   axis.end(),
+                   std::inserter(uniqueAxis, uniqueAxis.begin()),
+                   [rank](int i)->unsigned int{ return (i + rank) % rank; });
+
+    armnn::ReduceDescriptor desc;
+    desc.m_vAxis.assign(uniqueAxis.begin(), uniqueAxis.end());
+
+    auto* reducerParameters = reinterpret_cast<TfLiteReducerParams*>(TfLiteOpaqueNodeGetBuiltinData(tfLiteNode));
+    desc.m_KeepDims = reducerParameters->keep_dims;
+    if (reduceOperatorCode == kTfLiteBuiltinReduceMax)
+    {
+        desc.m_ReduceOperation = armnn::ReduceOperation::Max;
+    }
+    else if (reduceOperatorCode == kTfLiteBuiltinReduceMin)
+    {
+        desc.m_ReduceOperation = armnn::ReduceOperation::Min;
+    }
+    else if (reduceOperatorCode == kTfLiteBuiltinSum)
+    {
+        desc.m_ReduceOperation = armnn::ReduceOperation::Sum;
+    }
+    else if (reduceOperatorCode == kTfLiteBuiltinReduceProd)
+    {
+        desc.m_ReduceOperation = armnn::ReduceOperation::Prod;
+    }
+    else
+    {
+        TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(
+                tfLiteContext,
+                "TfLiteArmnnOpaqueDelegate: Unsupported Reduction Operator #%d node #%d: ",
+                reduceOperatorCode, nodeIndex);
+        return kTfLiteError;
+    }
+
+    bool isSupported = false;
+    armnn::BackendId setBackend;
+    auto validateFunc = [&](const armnn::TensorInfo& outInfo, bool& isSupported)
+    {
+        FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("REDUCE",
+                                           tfLiteContext,
+                                           IsReduceSupported,
+                                           delegateData.m_Backends,
+                                           isSupported,
+                                           setBackend,
+                                           inputTensorInfo,
+                                           outInfo,
+                                           desc);
+    };
+
+    if (!delegateData.m_Network)
+    {
+        validateFunc(outputTensorInfo, isSupported);
+        return isSupported ? kTfLiteOk : kTfLiteError;
+    }
+
+    // Add an Reduce layer
+    armnn::IConnectableLayer* layer = delegateData.m_Network->AddReduceLayer(desc);
+    layer->SetBackendId(setBackend);
+    ARMNN_ASSERT(layer != nullptr);
+
+    armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0);
+    outputSlot.SetTensorInfo(outputTensorInfo);
+
+    // try to connect the Constant Inputs if there are any
+    if(ProcessInputs(layer,delegateData, tfLiteContext, tfLiteNode) != kTfLiteOk )
+    {
+        return kTfLiteError;
+    }
+
+    // Connect
+    return Connect(layer, tfLiteContext, tfLiteNode, delegateData);
+}
+
+} // namespace armnnOpaqueDelegate