diff --git a/python/pyarrow/table.pxi b/python/pyarrow/table.pxi
index 2e04fa75b8b7..928792c36097 100644
--- a/python/pyarrow/table.pxi
+++ b/python/pyarrow/table.pxi
@@ -4915,10 +4915,13 @@ cdef class Table(_Tabular):
         if isinstance(struct_array, Array):
             return Table.from_batches([RecordBatch.from_struct_array(struct_array)])
         else:
-            return Table.from_batches([
-                RecordBatch.from_struct_array(chunk)
-                for chunk in struct_array.chunks
-            ])
+            return Table.from_batches(
+                [
+                    RecordBatch.from_struct_array(chunk)
+                    for chunk in struct_array.chunks
+                ],
+                schema=schema(struct_array.type.fields),
+            )
 
     def to_struct_array(self, max_chunksize=None):
         """
diff --git a/python/pyarrow/tests/test_table.py b/python/pyarrow/tests/test_table.py
index b65fb7d952c8..62534851f780 100644
--- a/python/pyarrow/tests/test_table.py
+++ b/python/pyarrow/tests/test_table.py
@@ -942,6 +942,23 @@ def test_table_from_struct_array_chunked_array():
     ))
 
 
+def test_table_from_struct_array_for_empty_chunked_array():
+    # GH-48344: round-trip Table.to_struct_array -> Table.from_struct_array
+    # for an empty table produces a ChunkedArray with zero chunks, which
+    # previously raised "Must pass schema, or at least one RecordBatch".
+    struct_type = pa.struct([("ints", pa.int32()), ("floats", pa.float32())])
+    empty_chunked_struct_array = pa.chunked_array([], type=struct_type)
+    result = pa.Table.from_struct_array(empty_chunked_struct_array)
+    expected = pa.Table.from_arrays(
+        [
+            pa.array([], type=pa.int32()),
+            pa.array([], type=pa.float32()),
+        ], ["ints", "floats"]
+    )
+    assert result.equals(expected)
+    assert result.schema == expected.schema
+
+
 def test_table_to_struct_array():
     table = pa.Table.from_arrays(
         [