diff --git a/doc/source/whatsnew/v1.1.0.rst b/doc/source/whatsnew/v1.1.0.rst
index 21e59805fa143..9b0e137e63bd7 100644
--- a/doc/source/whatsnew/v1.1.0.rst
+++ b/doc/source/whatsnew/v1.1.0.rst
@@ -382,7 +382,7 @@ Sparse
 ExtensionArray
 ^^^^^^^^^^^^^^
 
--
+- integer EA will now return objects of native type only when iterated. (:issue:`29738`)
 -
 
 
diff --git a/pandas/core/arrays/integer.py b/pandas/core/arrays/integer.py
index fb33840ad757c..adb36e00aac37 100644
--- a/pandas/core/arrays/integer.py
+++ b/pandas/core/arrays/integer.py
@@ -354,6 +354,13 @@ def __init__(self, values: np.ndarray, mask: np.ndarray, copy: bool = False):
             )
         super().__init__(values, mask, copy=copy)
 
+    def __iter__(self):
+        for i in range(len(self)):
+            if self._mask[i]:
+                yield self.dtype.na_value
+            else:
+                yield self._data[i].item()
+
     @classmethod
     def _from_sequence(cls, scalars, dtype=None, copy: bool = False) -> "IntegerArray":
         return integer_array(scalars, dtype=dtype, copy=copy)
diff --git a/pandas/tests/arrays/test_integer.py b/pandas/tests/arrays/test_integer.py
index 70a029bd74bda..64a2d4f32aab3 100644
--- a/pandas/tests/arrays/test_integer.py
+++ b/pandas/tests/arrays/test_integer.py
@@ -793,6 +793,24 @@ def test_integer_array_constructor_copy():
     assert result._mask is not mask
 
 
+@pytest.mark.parametrize(
+    "data",
+    [
+        pd.Series([1, 2], dtype="int64").tolist()[0],
+        pd.Series([1, 2], dtype="Int64").tolist()[0],
+        pd.Series([1, 2], dtype="int64").to_dict()[0],
+        pd.Series([1, 2], dtype="Int64").to_dict()[0],
+        list(pd.Series([1, 2], dtype="int64").iteritems())[0][1],
+        list(pd.Series([1, 2], dtype="Int64").iteritems())[0][1],
+        list(iter(pd.Series([1, 2], dtype="int64")))[0],
+        list(iter(pd.Series([1, 2], dtype="Int64")))[0],
+    ],
+)
+def test_integer_Series_iter_return_native(data):
+    # GH 29738
+    assert isinstance(data, int)
+
+
 @pytest.mark.parametrize(
     "values",
     [