diff --git a/cmake/onnxruntime_providers_openvino.cmake b/cmake/onnxruntime_providers_openvino.cmake
index d7cb2d5ea0d0f..330f9846c5655 100644
--- a/cmake/onnxruntime_providers_openvino.cmake
+++ b/cmake/onnxruntime_providers_openvino.cmake
@@ -13,8 +13,8 @@
 
   # Header paths
   find_package(OpenVINO REQUIRED COMPONENTS Runtime ONNX)
-  if(OpenVINO_VERSION VERSION_LESS 2024.5)
-    message(FATAL_ERROR "OpenVINO 2024.5 and newer are supported. Please, use latest OpenVINO release")
+  if(OpenVINO_VERSION VERSION_LESS 2025.0)
+    message(FATAL_ERROR "OpenVINO 2025.0 and newer are supported. Please, use latest OpenVINO release")
   endif()
 
   if(OpenVINO_VERSION VERSION_GREATER_EQUAL 2024.4)
diff --git a/onnxruntime/core/providers/openvino/ov_versions/capability.cc b/onnxruntime/core/providers/openvino/ov_versions/capability.cc
index 45ea822685710..a728e0aa3aa8b 100644
--- a/onnxruntime/core/providers/openvino/ov_versions/capability.cc
+++ b/onnxruntime/core/providers/openvino/ov_versions/capability.cc
@@ -41,16 +41,14 @@ GetCapability::GetCapability(const EPCtxHandler& ep_ctx_handler,
     npu_qdq_optimizer_enabled = true;   // see data_ops.cc ~615 where we check for int16 types for gpu, this may change to a better approach later
   }
 
-#if OPENVINO_VERSION_MAJOR == 2024 && OPENVINO_VERSION_MINOR == 5
-  data_ops_ = new DataOps(graph_viewer_, V_2024_5, device_type_, npu_qdq_optimizer_enabled);
-#elif OPENVINO_VERSION_MAJOR == 2024 && OPENVINO_VERSION_MINOR == 6
-  data_ops_ = new DataOps(graph_viewer_, V_2024_6, device_type_, npu_qdq_optimizer_enabled);
-#elif OPENVINO_VERSION_MAJOR == 2025 && OPENVINO_VERSION_MINOR == 0
+#if OPENVINO_VERSION_MAJOR == 2025 && OPENVINO_VERSION_MINOR == 0
   data_ops_ = new DataOps(graph_viewer_, V_2025_0, device_type_, npu_qdq_optimizer_enabled);
 #elif OPENVINO_VERSION_MAJOR == 2025 && OPENVINO_VERSION_MINOR == 1
   data_ops_ = new DataOps(graph_viewer_, V_2025_1, device_type_, npu_qdq_optimizer_enabled);
+#elif OPENVINO_VERSION_MAJOR == 2025 && OPENVINO_VERSION_MINOR == 2
+  data_ops_ = new DataOps(graph_viewer_, V_2025_2, device_type_, npu_qdq_optimizer_enabled);
 #else
-  data_ops_ = new DataOps(graph_viewer_, V_2025_1, device_type_, npu_qdq_optimizer_enabled);
+  data_ops_ = new DataOps(graph_viewer_, V_2025_2, device_type_, npu_qdq_optimizer_enabled);
 #endif
 }
 
diff --git a/onnxruntime/core/providers/openvino/ov_versions/data_ops.cc b/onnxruntime/core/providers/openvino/ov_versions/data_ops.cc
index b88f0d04d21f2..8ed55fcf0bbdc 100644
--- a/onnxruntime/core/providers/openvino/ov_versions/data_ops.cc
+++ b/onnxruntime/core/providers/openvino/ov_versions/data_ops.cc
@@ -228,6 +228,7 @@ std::vector<SupportedOp> supported_op_mode = {
     {"Sigmoid", V_2020_4, {"CPU", "GPU"}},
     {"Sign", V_2020_4, {"CPU"}},
     {"Sign", V_2022_1, {"GPU"}},
+    {"SimplifiedLayerNormalization", V_2025_2, {"CPU", "GPU"}},
     {"Sin", V_2022_1, {"CPU", "GPU"}},
     {"Sinh", V_2020_4, {"CPU"}},
     {"Size", V_2022_1, {"CPU", "GPU"}},
@@ -401,7 +402,7 @@ void DataOps::populate_op_mode_supported() {
 
   // populate unsupportedmode_t
   {
-    UnsupportedOpMode obj = {{V_2024_1, V_2024_2, V_2024_3, V_2024_4, V_2024_5, V_2024_6, V_2025_0, V_2025_1},
+    UnsupportedOpMode obj = {{V_2024_1, V_2024_2, V_2024_3, V_2024_4, V_2024_5, V_2024_6, V_2025_0, V_2025_1, V_2025_2},
                              [this](const Node* node, const InitializedTensorSet&) {
                                // If the Input of ReduceMax op is UINT8, it is rejected (Due to output mismatch)
                                for (size_t i = 0; i < node->InputDefs().size(); i++) {
@@ -417,7 +418,8 @@ void DataOps::populate_op_mode_supported() {
   }
   {
     UnsupportedOpMode obj = {{V_2023_1, V_2023_2, V_2023_3, V_2024_0, V_2024_1, V_2024_2,
-                              V_2024_3, V_2024_4, V_2024_5, V_2024_6, V_2025_0, V_2025_1},
+                              V_2024_3, V_2024_4, V_2024_5, V_2024_6, V_2025_0, V_2025_1,
+                              V_2025_2},
                              [this](const Node* node, const InitializedTensorSet&) {
                                const auto& input_arg = node->InputDefs()[1];
                                auto shape = input_arg->Shape();
@@ -435,7 +437,8 @@ void DataOps::populate_op_mode_supported() {
   }
   {
     UnsupportedOpMode obj = {{V_2023_1, V_2023_2, V_2023_3, V_2024_0, V_2024_1, V_2024_2,
-                              V_2024_3, V_2024_4, V_2024_5, V_2024_6, V_2025_0, V_2025_1},
+                              V_2024_3, V_2024_4, V_2024_5, V_2024_6, V_2025_0, V_2025_1,
+                              V_2025_2},
                              [this](const Node* node, const InitializedTensorSet&) {
                                // If the operator is unsqueeze
                                // If axes is an input, then we cannot produce a static graph.
@@ -450,8 +453,8 @@ void DataOps::populate_op_mode_supported() {
     op_list_.insert({"Unsqueeze", obj});
   }
   {
-    UnsupportedOpMode obj = {{V_2023_1, V_2023_2, V_2023_3, V_2024_0, V_2024_1, V_2024_2, V_2024_3, V_2024_4, V_2024_5, V_2024_6,
-                              V_2025_0, V_2025_1},
+    UnsupportedOpMode obj = {{V_2023_1, V_2023_2, V_2023_3, V_2024_0, V_2024_1, V_2024_2, V_2024_3, V_2024_4, V_2024_5,
+                              V_2024_6, V_2025_0, V_2025_1, V_2025_2},
                              [this](const Node* node, const InitializedTensorSet&) {
                                // check for attributes
                                auto& upsample_attr = node->GetAttributes();
diff --git a/onnxruntime/core/providers/openvino/ov_versions/data_ops.h b/onnxruntime/core/providers/openvino/ov_versions/data_ops.h
index cf7d834d6cfc7..95905e010541e 100644
--- a/onnxruntime/core/providers/openvino/ov_versions/data_ops.h
+++ b/onnxruntime/core/providers/openvino/ov_versions/data_ops.h
@@ -35,7 +35,8 @@ enum versionNum {
   V_2024_5,
   V_2024_6,
   V_2025_0,
-  V_2025_1
+  V_2025_1,
+  V_2025_2
 };
 
 using VersionNum = enum versionNum;