diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/AnsiTypeCoercion.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/AnsiTypeCoercion.scala
index 52c1136b1ee30..9989ca79ed270 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/AnsiTypeCoercion.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/AnsiTypeCoercion.scala
@@ -20,7 +20,7 @@ package org.apache.spark.sql.catalyst.analysis
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
 import org.apache.spark.sql.catalyst.rules.Rule
-import org.apache.spark.sql.internal.types.AbstractStringType
+import org.apache.spark.sql.internal.types.{AbstractArrayType, AbstractStringType}
 import org.apache.spark.sql.types._
 import org.apache.spark.sql.types.UpCastRule.numericPrecedence
 
@@ -197,6 +197,9 @@ object AnsiTypeCoercion extends TypeCoercionBase {
       case (_: StringType, a @ (_: AtomicType | NumericType | DecimalType | AnyTimestampType)) =>
         Some(a.defaultConcreteType)
 
+      case (ArrayType(fromType, _), AbstractArrayType(toType)) =>
+        Some(implicitCast(fromType, toType).map(ArrayType(_, true)).orNull)
+
       // When the target type is `TypeCollection`, there is another branch to find the
       // "closet convertible data type" below.
       case (_, target) if !target.isInstanceOf[TypeCollection] =>
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
index 5d8bcd4f7b1f9..259e28b62bca7 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
@@ -31,7 +31,7 @@ import org.apache.spark.sql.catalyst.trees.AlwaysProcess
 import org.apache.spark.sql.catalyst.types.DataTypeUtils
 import org.apache.spark.sql.errors.QueryCompilationErrors
 import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.internal.types.{AbstractArrayType, AbstractStringType}
+import org.apache.spark.sql.internal.types.{AbstractArrayType, AbstractStringType, StringTypeAnyCollation}
 import org.apache.spark.sql.types._
 import org.apache.spark.sql.types.UpCastRule.numericPrecedence
 
@@ -422,8 +422,9 @@ abstract class TypeCoercionBase {
           case None => c
         }
 
-      case aj @ ArrayJoin(arr, d, nr) if !ArrayType(StringType).acceptsType(arr.dataType) &&
-        ArrayType.acceptsType(arr.dataType) =>
+      case aj @ ArrayJoin(arr, d, nr)
+          if !AbstractArrayType(StringTypeAnyCollation).acceptsType(arr.dataType) &&
+          ArrayType.acceptsType(arr.dataType) =>
         val containsNull = arr.dataType.asInstanceOf[ArrayType].containsNull
         implicitCast(arr, ArrayType(StringType, containsNull)) match {
           case Some(castedArr) => ArrayJoin(castedArr, d, nr)