diff --git a/python/pyarrow/tests/test_pandas.py b/python/pyarrow/tests/test_pandas.py
index 312bfdd36351c..d5c936df072ae 100644
--- a/python/pyarrow/tests/test_pandas.py
+++ b/python/pyarrow/tests/test_pandas.py
@@ -1854,6 +1854,15 @@ def test_table_str_to_categorical_without_na(self, string_type):
             table.to_pandas(strings_to_categorical=True,
                             zero_copy_only=True)
 
+        # chunked array
+        result = table["strings"].to_pandas(strings_to_categorical=True)
+        expected = pd.Series(pd.Categorical(values), name="strings")
+        tm.assert_series_equal(result, expected)
+
+        with pytest.raises(pa.ArrowInvalid):
+            table["strings"].to_pandas(strings_to_categorical=True,
+                                       zero_copy_only=True)
+
     @pytest.mark.parametrize(
         "string_type", [pa.string(), pa.large_string(), pa.string_view()]
     )
@@ -1872,6 +1881,15 @@ def test_table_str_to_categorical_with_na(self, string_type):
             table.to_pandas(strings_to_categorical=True,
                             zero_copy_only=True)
 
+        # chunked array
+        result = table["strings"].to_pandas(strings_to_categorical=True)
+        expected = pd.Series(pd.Categorical(values), name="strings")
+        tm.assert_series_equal(result, expected)
+
+        with pytest.raises(pa.ArrowInvalid):
+            table["strings"].to_pandas(strings_to_categorical=True,
+                                       zero_copy_only=True)
+
     # Regression test for ARROW-2101
     def test_array_of_bytes_to_strings(self):
         converted = pa.array(np.array([b'x'], dtype=object), pa.string())