diff --git a/src/main/scala/com/amazon/deequ/analyzers/PatternMatch.scala b/src/main/scala/com/amazon/deequ/analyzers/PatternMatch.scala
index 302fee94d..c53566a19 100644
--- a/src/main/scala/com/amazon/deequ/analyzers/PatternMatch.scala
+++ b/src/main/scala/com/amazon/deequ/analyzers/PatternMatch.scala
@@ -35,7 +35,11 @@ import scala.util.matching.Regex
   * @param pattern    The regular expression to check for
   * @param where      Additional filter to apply before the analyzer is run.
   */
-case class PatternMatch(column: String, pattern: Regex, where: Option[String] = None)
+case class PatternMatch(
+                         column: String,
+                         pattern: Regex,
+                         where: Option[String] = None,
+                         isNullAllowed: Boolean = false)
   extends StandardScanShareableAnalyzer[NumMatchesAndCount]("PatternMatch", column)
   with FilterableAnalyzer {
 
@@ -48,6 +52,7 @@ case class PatternMatch(column: String, pattern: Regex, where: Option[String] =
   override def aggregationFunctions(): Seq[Column] = {
 
     val expression = when(regexp_extract(col(column), pattern.toString(), 0) =!= lit(""), 1)
+      .when(lit(isNullAllowed) && col(column).isNull, 1)
       .otherwise(0)
 
     val summation = sum(conditionalSelection(expression, where).cast(IntegerType))
diff --git a/src/main/scala/com/amazon/deequ/checks/Check.scala b/src/main/scala/com/amazon/deequ/checks/Check.scala
index 93a7b4076..4112841de 100644
--- a/src/main/scala/com/amazon/deequ/checks/Check.scala
+++ b/src/main/scala/com/amazon/deequ/checks/Check.scala
@@ -691,11 +691,19 @@ case class Check(
       pattern: Regex,
       assertion: Double => Boolean = Check.IsOne,
       name: Option[String] = None,
-      hint: Option[String] = None)
+      hint: Option[String] = None,
+      isNullAllowed: Boolean = false)
     : CheckWithLastConstraintFilterable = {
 
     addFilterableConstraint { filter =>
-      Constraint.patternMatchConstraint(column, pattern, assertion, filter, name, hint)
+      Constraint.patternMatchConstraint(
+        column,
+        pattern,
+        assertion,
+        filter,
+        name,
+        hint,
+        isNullAllowed)
     }
   }
 
diff --git a/src/main/scala/com/amazon/deequ/constraints/Constraint.scala b/src/main/scala/com/amazon/deequ/constraints/Constraint.scala
index c7963ce41..00de8dfe3 100644
--- a/src/main/scala/com/amazon/deequ/constraints/Constraint.scala
+++ b/src/main/scala/com/amazon/deequ/constraints/Constraint.scala
@@ -303,10 +303,11 @@ object Constraint {
       assertion: Double => Boolean,
       where: Option[String] = None,
       name: Option[String] = None,
-      hint: Option[String] = None)
+      hint: Option[String] = None,
+      isNullAllowed: Boolean = false)
     : Constraint = {
 
-    val patternMatch = PatternMatch(column, pattern, where)
+    val patternMatch = PatternMatch(column, pattern, where, isNullAllowed)
 
     val constraint = AnalysisBasedConstraint[NumMatchesAndCount, Double, Double](
       patternMatch, assertion, hint = hint)
diff --git a/src/test/scala/com/amazon/deequ/checks/CheckTest.scala b/src/test/scala/com/amazon/deequ/checks/CheckTest.scala
index d512833dc..4d691c2c3 100644
--- a/src/test/scala/com/amazon/deequ/checks/CheckTest.scala
+++ b/src/test/scala/com/amazon/deequ/checks/CheckTest.scala
@@ -616,6 +616,27 @@ class CheckTest extends AnyWordSpec with Matchers with SparkContextSpec with Fix
         assertSuccess(baseCheck.hasMaxLength("att1", _ == 4.0), context)
     }
 
+    "ignore null values for hasPattern constraints" in withSparkSession { spark =>
+      import spark.implicits._
+
+      val df = Seq(
+        ("123", 1),
+        (null, 2),
+        ("456", 1)
+      ).toDF("nullable", "id")
+
+      val check = Check(CheckLevel.Error, "some description")
+        .hasPattern("nullable", "\\d{3,3}".r, _ == 1.0)
+      val checkWithNullAllowed = Check(CheckLevel.Error, "some description")
+        .hasPattern("nullable", "\\d{3,3}".r, _ == 1.0, isNullAllowed = true)
+
+      val context = runChecks(df, check)
+      val nullAllowedContext = runChecks(df, checkWithNullAllowed)
+
+      assertEvaluatesTo(check, context, CheckStatus.Error)
+      assertEvaluatesTo(checkWithNullAllowed, nullAllowedContext, CheckStatus.Success)
+    }
+
     "work on regular expression patterns for E-Mails" in withSparkSession { sparkSession =>
       val col = "some"
       val df = dataFrameWithColumn(col, StringType, sparkSession, Row("someone@somewhere.org"),