diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index cd7aeb7cd4ac..ba6764444bdf 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -344,10 +344,15 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
       new ResolveHints.RemoveAllHints),
     Batch("Nondeterministic", Once,
       PullOutNondeterministic),
-    Batch("UpdateNullability", Once,
+    Batch("ScalaUDF Null Handling", fixedPoint,
+      // `HandleNullInputsForUDF` may wrap the `ScalaUDF` with `If` expression to return null for
+      // null inputs, so the result can be null even if `ScalaUDF#nullable` is false. We need to
+      // run `UpdateAttributeNullability` to update nullability of the UDF output attribute in
+      // downstream operators. After updating attribute nullability, `ScalaUDF`s in downstream
+      // operators may need null handling as well, so we should run these two rules repeatedly.
+      HandleNullInputsForUDF,
       UpdateAttributeNullability),
     Batch("UDF", Once,
-      HandleNullInputsForUDF,
       ResolveEncodersInUDF),
     Batch("Subquery", Once,
       UpdateOuterReferences),
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
index a65fbef1a373..62856a96f7ee 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
@@ -1796,4 +1796,15 @@ class AnalysisSuite extends AnalysisTest with Matchers {
     assert(refs.head.resolved)
     assert(refs.head.isStreaming)
   }
+
+  test("SPARK-47927: ScalaUDF output nullability") {
+    val udf = ScalaUDF(
+      function = (i: Int) => i + 1,
+      dataType = IntegerType,
+      children = $"a" :: Nil,
+      nullable = false,
+      inputEncoders = Seq(Some(ExpressionEncoder[Int]().resolveAndBind())))
+    val plan = testRelation.select(udf.as("u")).select($"u").analyze
+    assert(plan.output.head.nullable)
+  }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala
index 32ad5a94984b..7e940252430f 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala
@@ -1211,4 +1211,11 @@ class UDFSuite extends QueryTest with SharedSparkSession {
       )
     }
   }
+
+  test("SPARK-47927: ScalaUDF null handling") {
+    val f = udf[Int, Int](_ + 1)
+    val df = Seq(Some(1), None).toDF("c")
+      .select(f($"c").as("f"), f($"f"))
+    checkAnswer(df, Seq(Row(2, 3), Row(null, null)))
+  }
 }