diff --git a/sagemaker-serve/src/sagemaker/serve/model_builder.py b/sagemaker-serve/src/sagemaker/serve/model_builder.py
index 948b87bcaa..9182903285 100644
--- a/sagemaker-serve/src/sagemaker/serve/model_builder.py
+++ b/sagemaker-serve/src/sagemaker/serve/model_builder.py
@@ -4058,6 +4058,10 @@ def _deploy_core_endpoint(self, **kwargs):
                 inference_ami_version=inference_ami_version,
             )
 
+        data_capture_config_dict = None
+        if data_capture_config is not None:
+            data_capture_config_dict = data_capture_config._to_request_dict()
+
         if endpoint_type == EndpointType.INFERENCE_COMPONENT_BASED:
             if update_endpoint:
                 raise ValueError(
@@ -4101,6 +4105,7 @@ def _deploy_core_endpoint(self, **kwargs):
                     production_variants=[production_variant],
                     tags=tags,
                     kms_key=kms_key,
+                    data_capture_config_dict=data_capture_config_dict,
                     vpc_config=self.vpc_config,
                     enable_network_isolation=self._enable_network_isolation,
                     role=self.role_arn,
@@ -4175,10 +4180,6 @@ def _deploy_core_endpoint(self, **kwargs):
                 base_endpoint_name = base_from_name(self.model_name)
                 self.endpoint_name = name_from_base(base_endpoint_name)
 
-            data_capture_config_dict = None
-            if data_capture_config is not None:
-                data_capture_config_dict = data_capture_config._to_request_dict()
-
             async_inference_config_dict = None
             if is_async:
                 if (
diff --git a/sagemaker-serve/tests/unit/test_model_builder_deploy.py b/sagemaker-serve/tests/unit/test_model_builder_deploy.py
index a6255128ba..a26990b5d8 100644
--- a/sagemaker-serve/tests/unit/test_model_builder_deploy.py
+++ b/sagemaker-serve/tests/unit/test_model_builder_deploy.py
@@ -14,6 +14,7 @@
 from sagemaker.core.inference_config import (
     ResourceRequirements,
 )
+from sagemaker.core.model_monitor.data_capture_config import DataCaptureConfig
 
 
 class TestModelBuilderContainerDef(unittest.TestCase):
@@ -380,6 +381,68 @@ def test_deploy_core_endpoint_sharded_model_network_isolation_raises_error(self)
 
         self.assertIn("EnableNetworkIsolation cannot be set to True", str(context.exception))
 
+    def _ic_builder(self):
+        """Build a ModelBuilder ready to deploy an inference-component based endpoint."""
+        builder = ModelBuilder(
+            model=Mock(),
+            role_arn="arn:aws:iam::123456789012:role/TestRole",
+            sagemaker_session=self.mock_session,
+        )
+        builder.built_model = Mock()
+        builder.built_model.model_name = "test-model"
+        builder.model_name = "test-model"
+        builder.inference_component_name = "test-ic"
+        builder._enable_network_isolation = False
+        builder._tags = []
+        return builder
+
+    def test_deploy_core_endpoint_ic_based_passes_data_capture_config(self):
+        """Test _deploy_core_endpoint forwards data_capture_config for IC based endpoints."""
+        builder = self._ic_builder()
+        data_capture_config = DataCaptureConfig(
+            enable_capture=True,
+            sampling_percentage=100,
+            destination_s3_uri="s3://bucket/prefix",
+        )
+
+        with patch("sagemaker.serve.model_builder.Endpoint.get") as mock_get:
+            mock_get.return_value = Mock(spec=Endpoint)
+            builder._deploy_core_endpoint(
+                instance_type="ml.m5.large",
+                initial_instance_count=1,
+                endpoint_name="test-ep",
+                endpoint_type=EndpointType.INFERENCE_COMPONENT_BASED,
+                resources=ResourceRequirements(requests={"num_cpus": 1, "memory": 1024}),
+                data_capture_config=data_capture_config,
+                wait=False,
+            )
+
+        self.mock_session.endpoint_from_production_variants.assert_called_once()
+        _, call_kwargs = self.mock_session.endpoint_from_production_variants.call_args
+        self.assertEqual(
+            call_kwargs["data_capture_config_dict"],
+            data_capture_config._to_request_dict(),
+        )
+
+    def test_deploy_core_endpoint_ic_based_without_data_capture_passes_none(self):
+        """Test _deploy_core_endpoint passes no data capture config when none is given."""
+        builder = self._ic_builder()
+
+        with patch("sagemaker.serve.model_builder.Endpoint.get") as mock_get:
+            mock_get.return_value = Mock(spec=Endpoint)
+            builder._deploy_core_endpoint(
+                instance_type="ml.m5.large",
+                initial_instance_count=1,
+                endpoint_name="test-ep",
+                endpoint_type=EndpointType.INFERENCE_COMPONENT_BASED,
+                resources=ResourceRequirements(requests={"num_cpus": 1, "memory": 1024}),
+                wait=False,
+            )
+
+        self.mock_session.endpoint_from_production_variants.assert_called_once()
+        _, call_kwargs = self.mock_session.endpoint_from_production_variants.call_args
+        self.assertIsNone(call_kwargs["data_capture_config_dict"])
+
 
 class TestModelBuilderDeployHelpers(unittest.TestCase):
     """Test ModelBuilder deployment helper methods."""