diff --git a/ivy/functional/frontends/tensorflow/raw_ops.py b/ivy/functional/frontends/tensorflow/raw_ops.py
index 90f05c42c8a76..5e4e2a61ddd43 100644
--- a/ivy/functional/frontends/tensorflow/raw_ops.py
+++ b/ivy/functional/frontends/tensorflow/raw_ops.py
@@ -569,6 +569,9 @@ def TanhGrad(*, y, dy, name="TanhGrad"):
     return ivy.multiply(dy, ivy.subtract(1, ivy.multiply(y, y)))
 
 
+Tile = to_ivy_arrays_and_back(map_raw_ops_alias(tf_frontend.general_functions.tile))
+
+
 @to_ivy_arrays_and_back
 def Transpose(*, x, perm, name="Transpose"):
     ret = ivy.permute_dims(x, axes=perm)
diff --git a/ivy_tests/test_ivy/test_frontends/test_tensorflow/test_raw_ops.py b/ivy_tests/test_ivy/test_frontends/test_tensorflow/test_raw_ops.py
index d8edff4ae5933..130afb1b46cc8 100644
--- a/ivy_tests/test_ivy/test_frontends/test_tensorflow/test_raw_ops.py
+++ b/ivy_tests/test_ivy/test_frontends/test_tensorflow/test_raw_ops.py
@@ -1198,6 +1198,59 @@ def test_tensorflow_TanhGrad(  # NOQA
     )
 
 
+# Tile
+@st.composite
+def _multiple_shape_helper(draw):
+    input_dtype, input_array, input_shape = draw(
+        helpers.dtype_and_values(
+            available_dtypes=helpers.get_dtypes("valid"),
+            ret_shape=True
+        )
+    )
+    input_dims = len(input_shape)
+
+    dt_n_multiples = draw(
+        helpers.dtype_and_values(
+            available_dtypes=["int32", "int64"],
+            min_value=0,
+            max_value=10,
+            shape=draw(
+                helpers.get_shape(
+                    min_num_dims=1,
+                    max_num_dims=1,
+                    min_dim_size=input_dims,
+                    max_dim_size=input_dims
+                )
+            )
+        )
+    )
+
+    return input_dtype, input_array, dt_n_multiples
+
+@handle_frontend_test(fn_tree="tensorflow.raw_ops.Tile", all_arguments=_multiple_shape_helper())
+def test_tensorflow_Tile(
+    *,
+    all_arguments,
+    test_flags,
+    frontend,
+    fn_tree,
+    on_device,
+    backend_fw,
+):
+    input_dtype, input_matrix, dt_and_multiples = all_arguments
+    dt_mul, multiples = dt_and_multiples
+    helpers.test_frontend_function(
+        input_dtypes=input_dtype + dt_mul,
+        input=input_matrix[0],
+        multiples=multiples[0],
+        test_flags=test_flags,
+        backend_to_test=backend_fw,
+        frontend=frontend,
+        fn_tree=fn_tree,
+        on_device=on_device,
+    )
+
+
 @st.composite
 def _permute_dims_helper(draw):
     shape = draw(st.shared(helpers.get_shape(min_num_dims=1), key="shape"))