diff --git a/spark/src/main/scala/org/apache/comet/expressions/CometCast.scala b/spark/src/main/scala/org/apache/comet/expressions/CometCast.scala
index bcc9ee0692..e4f341efa8 100644
--- a/spark/src/main/scala/org/apache/comet/expressions/CometCast.scala
+++ b/spark/src/main/scala/org/apache/comet/expressions/CometCast.scala
@@ -21,7 +21,7 @@ package org.apache.comet.expressions
 
 import org.apache.spark.sql.catalyst.expressions.{Attribute, Cast, Expression, Literal}
 import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.types.{ArrayType, DataType, DataTypes, DecimalType, NullType, StructType, TimestampNTZType, TimestampType}
+import org.apache.spark.sql.types.{ArrayType, DataType, DataTypes, DecimalType, MapType, NullType, StructType, TimestampNTZType, TimestampType}
 
 import org.apache.comet.CometConf
 import org.apache.comet.CometSparkSessionExtensions.{isSpark40Plus, withFallbackReason}
@@ -200,6 +200,14 @@ object CometCast extends CometExpressionSerde[Cast] with CometExprShim {
           }
         }
         Compatible()
+      case (from_map: MapType, to_map: MapType) =>
+        // Native cast_map_to_map recursively casts keys and values, so support is
+        // determined by whether both inner casts are individually supported.
+        isSupported(from_map.keyType, to_map.keyType, timeZoneId, evalMode) match {
+          case Compatible(_) =>
+            isSupported(from_map.valueType, to_map.valueType, timeZoneId, evalMode)
+          case other => other
+        }
       case (DataTypes.DateType, toType) => canCastFromDate(toType, evalMode)
       case _ => unsupported(fromType, toType)
     }
diff --git a/spark/src/test/scala/org/apache/comet/CometCastSuite.scala b/spark/src/test/scala/org/apache/comet/CometCastSuite.scala
index c527858507..aac1bc0081 100644
--- a/spark/src/test/scala/org/apache/comet/CometCastSuite.scala
+++ b/spark/src/test/scala/org/apache/comet/CometCastSuite.scala
@@ -32,7 +32,7 @@ import org.apache.spark.sql.catalyst.parser.ParseException
 import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
 import org.apache.spark.sql.functions.{col, monotonically_increasing_id}
 import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.types.{ArrayType, BinaryType, BooleanType, ByteType, DataType, DataTypes, DateType, DecimalType, DoubleType, FloatType, IntegerType, LongType, ShortType, StringType, StructField, StructType, TimestampType}
+import org.apache.spark.sql.types.{ArrayType, BinaryType, BooleanType, ByteType, DataType, DataTypes, DateType, DecimalType, DoubleType, FloatType, IntegerType, LongType, MapType, ShortType, StringType, StructField, StructType, TimestampType}
 
 import org.apache.comet.expressions.{CometCast, CometEvalMode}
 import org.apache.comet.rules.CometScanTypeChecker
@@ -1632,6 +1632,61 @@ class CometCastSuite extends CometTestBase with AdaptiveSparkPlanHelper {
     testArrayCastMatrix(types, ArrayType(_), generateArrays(100, _))
   }
 
+  test("cast MapType to MapType") {
+    // https://github.com/apache/datafusion-comet/issues/4491
+    // Native cast_map_to_map already handles the Parquet `key_value` vs
+    // Spark `entries` field-name difference, so we only need to verify that
+    // the planner routes Map→Map casts into it. The map column must be read
+    // natively for the cast to be exercised by Comet, which only happens
+    // under the V1 Parquet scan, so we pin USE_V1_SOURCE_LIST=parquet.
+    import scala.collection.JavaConverters._
+    val schema =
+      StructType(Seq(StructField("a", MapType(IntegerType, IntegerType), nullable = true)))
+    val rows = Range(0, 100).map { i =>
+      if (i % 10 == 0) Row(null)
+      else if (i % 7 == 0) Row(Map.empty[Int, Int])
+      else Row(Map(i -> (i + 1), (i + 2) -> (i + 3)))
+    }
+    val input = spark.createDataFrame(rows.asJava, schema)
+
+    withSQLConf(SQLConf.USE_V1_SOURCE_LIST.key -> "parquet") {
+      Seq(
+        MapType(LongType, LongType),
+        MapType(IntegerType, StringType),
+        MapType(StringType, DoubleType)).foreach { toType =>
+        castTest(input, toType)
+      }
+    }
+  }
+
+  test("cast MapType propagates Incompatible from inner value cast") {
+    // Float → Decimal is Incompatible due to rounding (see canCastFromFloat).
+    // The Map arm must propagate that Incompatible up rather than silently
+    // marking the whole Map → Map cast Compatible.
+    assert(
+      CometCast.isSupported(
+        MapType(IntegerType, FloatType),
+        MapType(IntegerType, DecimalType(10, 2)),
+        None,
+        CometEvalMode.LEGACY) ==
+        Incompatible(Some("There can be rounding differences")))
+  }
+
+  test("cast MapType propagates Unsupported from nested value cast") {
+    // Map<Int, Map<Int, Int>> → Map<Int, String>: the inner Map → String
+    // cast is Unsupported, and that must propagate through the outer Map
+    // arm rather than being silently swallowed.
+    val innerFrom = MapType(IntegerType, IntegerType)
+    val expectedMessage = s"Cast from $innerFrom to ${DataTypes.StringType} is not supported"
+    assert(
+      CometCast.isSupported(
+        MapType(IntegerType, innerFrom),
+        MapType(IntegerType, StringType),
+        None,
+        CometEvalMode.LEGACY) ==
+        Unsupported(Some(expectedMessage)))
+  }
+
   test("cast ArrayType(DateType) to unsupported ArrayType falls back") {
     val fromType = ArrayType(DateType)
     val unsupportedElementTypes =