diff --git a/pandas/io/common.py b/pandas/io/common.py
index b87e8fcae1064..68d75a26dbda3 100644
--- a/pandas/io/common.py
+++ b/pandas/io/common.py
@@ -775,7 +775,10 @@ def __init__(
         mode = mode.replace("b", "")
         self.archive_name = archive_name
         self.multiple_write_buffer: Optional[Union[StringIO, BytesIO]] = None
-
+        if archive_name is None and isinstance(file, (os.PathLike, str)):
+            archive_name = os.path.basename(file)
+            if archive_name.endswith(".zip"):
+                self.archive_name = archive_name[:-4]
         kwargs_zip: Dict[str, Any] = {"compression": zipfile.ZIP_DEFLATED}
         kwargs_zip.update(kwargs)
 
diff --git a/pandas/tests/frame/methods/test_to_csv.py b/pandas/tests/frame/methods/test_to_csv.py
index aed784a6e4c3c..1eb9f0bea23dd 100644
--- a/pandas/tests/frame/methods/test_to_csv.py
+++ b/pandas/tests/frame/methods/test_to_csv.py
@@ -1333,3 +1333,4 @@ def test_to_csv_numpy_16_bug(self):
 
         result = buf.getvalue()
         assert "2000-01-01" in result
+
diff --git a/pandas/tests/io/formats/test_to_csv.py b/pandas/tests/io/formats/test_to_csv.py
index 5e599818308b8..b8c7f8dac0d02 100644
--- a/pandas/tests/io/formats/test_to_csv.py
+++ b/pandas/tests/io/formats/test_to_csv.py
@@ -549,7 +549,7 @@ def test_to_csv_zip_arguments(self, compression, archive_name):
                 path, compression={"method": compression, "archive_name": archive_name}
             )
             with ZipFile(path) as zp:
-                expected_arcname = path if archive_name is None else archive_name
+                expected_arcname = path[:-4] if archive_name is None else archive_name
                 expected_arcname = os.path.basename(expected_arcname)
                 assert len(zp.filelist) == 1
                 archived_file = os.path.basename(zp.filelist[0].filename)
@@ -644,6 +644,30 @@ def test_to_csv_encoding_binary_handle(self, mode):
                 handle.seek(0)
                 assert handle.read().startswith(b'\xef\xbb\xbf""')
 
+    @pytest.mark.parametrize(
+        "df,csv_name",
+        [
+            (
+                    DataFrame({"a": [1, 2, 3, 4, 5], "b": [4, 5, 6, 7, 8]}),
+                    "test_to_csv_zipped_content_name.csv",
+            )
+        ],
+    )
+    def test_to_csv_content_name_in_zipped_file(self, df, csv_name):
+        from zipfile import ZipFile
+        from pathlib import Path
+
+        suffix_zip_name = csv_name + ".zip"
+        with tm.ensure_clean(suffix_zip_name) as pth:
+            # ensure_clean will add random str before suffix_zip_name,
+            # need Path.stem to get real file name
+            df.to_csv(pth)
+            zf = ZipFile(pth)
+            pp = Path(pth)
+            result = zf.filelist[0].filename
+            expected = pp.stem
+            zf.close()
+            assert result == expected
 
 def test_to_csv_iterative_compression_name(compression):
     # GH 38714