diff --git a/pandas/core/construction.py b/pandas/core/construction.py
index 5868bdaa1225b..c2bf139bc7e78 100644
--- a/pandas/core/construction.py
+++ b/pandas/core/construction.py
@@ -304,6 +304,8 @@ def array(
         raise ValueError(msg)
     elif isinstance(data, ABCDataFrame):
         raise TypeError("Cannot pass DataFrame to 'pandas.array'")
+    elif isinstance(data, np.ndarray) and data.ndim != 1 and dtype == object:
+        raise ValueError("NumpyExtensionArray must be 1-dimensional.")
 
     if dtype is None and isinstance(data, (ABCSeries, ABCIndex, ExtensionArray)):
         # Note: we exclude np.ndarray here, will do type inference on it
diff --git a/pandas/tests/arrays/test_array.py b/pandas/tests/arrays/test_array.py
index cd78dfd6f343a..29cfb1522cbf6 100644
--- a/pandas/tests/arrays/test_array.py
+++ b/pandas/tests/arrays/test_array.py
@@ -451,10 +451,16 @@ def test_array_inference_fails(data):
     tm.assert_extension_array_equal(result, expected)
 
 
-@pytest.mark.parametrize("data", [np.array(0)])
-def test_nd_raises(data):
+@pytest.mark.parametrize(
+    "data,dtype",
+    [
+        (np.array(0), "int64"),
+        (np.array([[1, 2], ["a", "b"]]), object),
+    ],
+)
+def test_nd_raises(data, dtype):
     with pytest.raises(ValueError, match="NumpyExtensionArray must be 1-dimensional"):
-        pd.array(data, dtype="int64")
+        pd.array(data, dtype=dtype)
 
 
 def test_scalar_raises():