diff --git a/python/pyarrow/table.pxi b/python/pyarrow/table.pxi
index 30fff040fc37..c92ca6d5b7f0 100644
--- a/python/pyarrow/table.pxi
+++ b/python/pyarrow/table.pxi
@@ -3428,13 +3428,13 @@ cdef class RecordBatch(_Tabular):
             return cls.from_arrays(arrays, schema=schema)
 
     @staticmethod
-    def from_arrays(list arrays, names=None, schema=None, metadata=None):
+    def from_arrays(arrays, names=None, schema=None, metadata=None):
         """
         Construct a RecordBatch from multiple pyarrow.Arrays
 
         Parameters
         ----------
-        arrays : list of pyarrow.Array
+        arrays : list or tuple of pyarrow.Array
             One for each field in RecordBatch
         names : list of str, optional
             Names for the batch fields. If not passed, schema must be passed
@@ -6080,7 +6080,7 @@ def record_batch(data, names=None, schema=None, metadata=None):
         return RecordBatch.from_pandas(data, schema=schema)
 
     else:
-        raise TypeError("Expected pandas DataFrame or list of arrays")
+        raise TypeError("Expected pandas DataFrame or list/tuple of arrays")
 
 
 def table(data, names=None, schema=None, metadata=None, nthreads=None):
diff --git a/python/pyarrow/tests/test_table.py b/python/pyarrow/tests/test_table.py
index 0fefabf02abe..1c80c3aa6117 100644
--- a/python/pyarrow/tests/test_table.py
+++ b/python/pyarrow/tests/test_table.py
@@ -2770,6 +2770,14 @@ def test_table_repr_to_string_ellipsis():
 c1: [[10,20,30,40,10,...,40,10,20,30,40]]"""
 
 
+def test_record_batch_from_tuple_of_arrays():
+    # GH-55418: record_batch must accept a tuple of arrays like a list
+    batch = pa.record_batch((pa.array([1]),), names=["a"])
+    assert batch.num_columns == 1
+    assert batch.column(0).to_pylist() == [1]
+    assert batch == pa.record_batch([pa.array([1])], names=["a"])
+
+
 def test_record_batch_repr_to_string():
     # Schema passed explicitly
     schema = pa.schema([pa.field('c0', pa.int16(),