diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala
index 10464dac8d55e..a0cb5da078438 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala
@@ -134,6 +134,7 @@ object Cast {
     case (DateType, TimestampType) => true
     case (_: AtomicType, StringType) => true
     case (_: CalendarIntervalType, StringType) => true
+    case (NullType, _) => true
 
     // Spark supports casting between long and timestamp, please see `longToTimestamp` and
     // `timestampToLong` for details.
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuite.scala
index bbb3cb516b7d5..69adb8e922cc3 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuite.scala
@@ -974,7 +974,7 @@ class CastSuite extends SparkFunSuite with ExpressionEvalHelper {
       )
     }
 
-    import DataTypeTestUtils.numericTypes
+    import DataTypeTestUtils._
     numericTypes.foreach { from =>
       val (safeTargetTypes, unsafeTargetTypes) = numericTypes.partition(to => isCastSafe(from, to))
 
@@ -1008,6 +1008,10 @@ class CastSuite extends SparkFunSuite with ExpressionEvalHelper {
         assert(!Cast.canUpCast(complexType, StringType))
       }
     }
+
+    atomicTypes.foreach { atomicType =>
+      assert(Cast.canUpCast(NullType, atomicType))
+    }
   }
 
   test("SPARK-27671: cast from nested null type in struct") {