diff --git a/datafusion/physical-expr/Cargo.toml b/datafusion/physical-expr/Cargo.toml
index 4195e684381fb..26b30029f63d9 100644
--- a/datafusion/physical-expr/Cargo.toml
+++ b/datafusion/physical-expr/Cargo.toml
@@ -75,3 +75,7 @@ name = "case_when"
 [[bench]]
 harness = false
 name = "is_null"
+
+[[bench]]
+harness = false
+name = "scalar_regex_match"
diff --git a/datafusion/physical-expr/benches/scalar_regex_match.rs b/datafusion/physical-expr/benches/scalar_regex_match.rs
new file mode 100644
index 0000000000000..680843c0cb563
--- /dev/null
+++ b/datafusion/physical-expr/benches/scalar_regex_match.rs
@@ -0,0 +1,121 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements.  See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership.  The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License.  You may obtain a copy of the License at
+//
+//   http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied.  See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+use std::sync::Arc;
+
+use arrow_array::{RecordBatch, StringArray};
+use arrow_schema::{DataType, Field, Schema};
+use criterion::{black_box, criterion_group, criterion_main, Criterion};
+use datafusion_expr_common::operator::Operator;
+use datafusion_physical_expr::expressions::{binary, col, lit, scalar_regex_match};
+use hashbrown::HashMap;
+use rand::distributions::{Alphanumeric, DistString};
+
+/// make a record batch with one column and n rows
+/// this record batch is single string column is used for
+/// scalar regex match benchmarks
+fn make_record_batch(rows: usize, string_length: usize, schema: Schema) -> RecordBatch {
+    let mut rng = rand::thread_rng();
+    let mut array = Vec::with_capacity(rows);
+    for _ in 0..rows {
+        let data_line = Alphanumeric.sample_string(&mut rng, string_length);
+        array.push(Some(data_line));
+    }
+    let array = StringArray::from(array);
+    RecordBatch::try_new(Arc::new(schema), vec![Arc::new(array)]).unwrap()
+}
+
+fn scalar_regex_match_benchmark(c: &mut Criterion) {
+    // make common schema
+    let column = "string";
+    let schema = Schema::new(vec![Field::new(column, DataType::Utf8, true)]);
+
+    // meke test record batch
+    let test_batch = [
+        (10, make_record_batch(10, 100, schema.clone())),
+        (100, make_record_batch(100, 100, schema.clone())),
+        (1000, make_record_batch(1000, 100, schema.clone())),
+        (2000, make_record_batch(2000, 100, schema.clone())),
+    ]
+    .iter()
+    .map(|(k, v)| (*k, v.clone()))
+    .collect::<HashMap<_, _>>();
+
+    // string column
+    let string_col = col(column, &schema).unwrap();
+
+    // some pattern literal
+    let pattern_lit = [
+        ("email".to_string(), lit(r"^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$")),
+        ("url".to_string(), lit(r"^(https?|ftp)://[-a-zA-Z0-9+&@#/%?=~_|!:,.;]*[-a-zA-Z0-9+&@#/%=~_|]$")),
+        ("ip".to_string(), lit(r"^((25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)$")),
+        ("phone".to_string(), lit(r"^(\+\d{1,2}\s?)?\(?\d{3}\)?[\s.-]?\d{3}[\s.-]?\d{4}$")),
+        ("zip_code".to_string(), lit(r"^\d{5}(?:[-\s]\d{4})?$")),
+    ].iter()
+    .map(|(k, v)| (k.clone(), v.clone()))
+    .collect::<HashMap<_, _>>();
+
+    for (name, regexp_lit) in pattern_lit.iter() {
+        for (rows, batch) in test_batch.iter() {
+            for iter in [10, 20, 50, 100] {
+                // scalar regex match benchmarks
+                let bench_name = format!(
+                    "scalar_regex_match_pattern_{}_rows_{}_iter_{}",
+                    name, rows, iter
+                );
+                c.bench_function(bench_name.as_str(), |b| {
+                    let expr = scalar_regex_match(
+                        false,
+                        false,
+                        string_col.clone(),
+                        regexp_lit.clone(),
+                        &schema,
+                    )
+                    .unwrap();
+                    b.iter(|| {
+                        for _ in 0..iter {
+                            expr.evaluate(black_box(batch)).unwrap();
+                        }
+                    });
+                });
+
+                // binary regex match benchmarks
+                let bench_name = format!(
+                    "binary_regex_match_pattern_{}_rows_{}_iter_{}",
+                    name, rows, iter
+                );
+                c.bench_function(bench_name.as_str(), |b| {
+                    let expr = binary(
+                        string_col.clone(),
+                        Operator::RegexMatch,
+                        regexp_lit.clone(),
+                        &schema,
+                    )
+                    .unwrap();
+                    b.iter(|| {
+                        for _ in 0..iter {
+                            expr.evaluate(black_box(batch)).unwrap();
+                        }
+                    });
+                });
+            }
+        }
+    }
+}
+
+criterion_group!(benches, scalar_regex_match_benchmark);
+criterion_main!(benches);