diff --git a/arrow/src/util/data_gen.rs b/arrow/src/util/data_gen.rs
index 42a0798f5540..7ea05811d55b 100644
--- a/arrow/src/util/data_gen.rs
+++ b/arrow/src/util/data_gen.rs
@@ -55,6 +55,14 @@ pub fn create_random_batch(
 
 /// Create a random [ArrayRef] from a [DataType] with a length,
 /// null density and true density (for [BooleanArray]).
+///
+/// # Arguments
+///
+/// * `field` - The field containing the data type for which to create a random array
+/// * `size` - The number of elements in the generated array
+/// * `null_density` - The approximate fraction of null values in the resulting array (0.0 to 1.0)
+/// * `true_density` - The approximate fraction of true values in boolean arrays (0.0 to 1.0)
+///
 pub fn create_random_array(
     field: &Field,
     size: usize,
@@ -215,6 +223,8 @@ pub fn create_random_array(
             crate::compute::cast(&v, d)?
         }
         Map(_, _) => create_random_map_array(field, size, null_density, true_density)?,
+        Decimal128(_, _) => create_random_decimal_array(field, size, null_density)?,
+        Decimal256(_, _) => create_random_decimal_array(field, size, null_density)?,
         other => {
             return Err(ArrowError::NotYetImplemented(format!(
                 "Generating random arrays not yet implemented for {other:?}"
@@ -223,6 +233,45 @@ pub fn create_random_array(
     })
 }
 
+#[inline]
+fn create_random_decimal_array(field: &Field, size: usize, null_density: f32) -> Result<ArrayRef> {
+    let mut rng = seedable_rng();
+
+    match field.data_type() {
+        DataType::Decimal128(precision, scale) => {
+            let values = (0..size)
+                .map(|_| {
+                    if rng.random::<f32>() < null_density {
+                        None
+                    } else {
+                        Some(rng.random::<i128>())
+                    }
+                })
+                .collect::<Vec<_>>();
+            Ok(Arc::new(
+                Decimal128Array::from(values).with_precision_and_scale(*precision, *scale)?,
+            ))
+        }
+        DataType::Decimal256(precision, scale) => {
+            let values = (0..size)
+                .map(|_| {
+                    if rng.random::<f32>() < null_density {
+                        None
+                    } else {
+                        Some(i256::from_parts(rng.random::<u128>(), rng.random::<i128>()))
+                    }
+                })
+                .collect::<Vec<_>>();
+            Ok(Arc::new(
+                Decimal256Array::from(values).with_precision_and_scale(*precision, *scale)?,
+            ))
+        }
+        _ => Err(ArrowError::InvalidArgumentError(format!(
+            "Cannot create decimal array for field {field:?}"
+        ))),
+    }
+}
+
 #[inline]
 fn create_random_list_array(
     field: &Field,
@@ -745,4 +794,22 @@ mod tests {
         assert_eq!(array.as_map().keys().data_type(), &DataType::Utf8);
         assert_eq!(array.as_map().values().data_type(), &DataType::Utf8);
     }
+
+    #[test]
+    fn test_create_decimal_array() {
+        let size = 10;
+        let fields = vec![
+            Field::new("a", DataType::Decimal128(10, -2), true),
+            Field::new("b", DataType::Decimal256(10, -2), true),
+        ];
+        let schema = Schema::new(fields);
+        let schema_ref = Arc::new(schema);
+        let batch = create_random_batch(schema_ref.clone(), size, 0.35, 0.7).unwrap();
+
+        assert_eq!(batch.schema(), schema_ref);
+        assert_eq!(batch.num_columns(), schema_ref.fields().len());
+        for array in batch.columns() {
+            assert_eq!(array.len(), size);
+        }
+    }
 }