diff --git a/datafusion/core/src/execution/session_state.rs b/datafusion/core/src/execution/session_state.rs
index c123ebb22ecb..e358ec1c142b 100644
--- a/datafusion/core/src/execution/session_state.rs
+++ b/datafusion/core/src/execution/session_state.rs
@@ -243,6 +243,7 @@ impl SessionState {
                 feature = "unicode_expressions"
             ))]
             Arc::new(functions::planner::UserDefinedFunctionPlanner),
+            Arc::new(functions_aggregate::planner::AggregateUDFPlanner),
         ];
 
         let mut new_self = SessionState {
diff --git a/datafusion/expr/src/planner.rs b/datafusion/expr/src/planner.rs
index aeb8ed8372b7..ac5c5a172c91 100644
--- a/datafusion/expr/src/planner.rs
+++ b/datafusion/expr/src/planner.rs
@@ -24,6 +24,7 @@ use datafusion_common::{
     config::ConfigOptions, file_options::file_type::FileType, not_impl_err, DFSchema,
     Result, TableReference,
 };
+use sqlparser::ast::NullTreatment;
 
 use crate::{AggregateUDF, Expr, GetFieldAccess, ScalarUDF, TableSource, WindowUDF};
 
@@ -161,6 +162,28 @@ pub trait ExprPlanner: Send + Sync {
     ) -> Result<PlannerResult<Vec<Expr>>> {
         Ok(PlannerResult::Original(args))
     }
+
+    /// Plans a `RawAggregateUDF` based on the given input expressions.
+    ///
+    /// Returns a `PlannerResult` containing either the planned aggregate function or the original
+    /// input expressions if planning is not possible.
+    fn plan_aggregate_udf(
+        &self,
+        aggregate_function: RawAggregateUDF,
+    ) -> Result<PlannerResult<RawAggregateUDF>> {
+        Ok(PlannerResult::Original(aggregate_function))
+    }
+}
+
+// An `AggregateUDF` to be planned.
+#[derive(Debug, Clone)]
+pub struct RawAggregateUDF {
+    pub udf: Arc<crate::AggregateUDF>,
+    pub args: Vec<Expr>,
+    pub distinct: bool,
+    pub filter: Option<Box<Expr>>,
+    pub order_by: Option<Vec<Expr>>,
+    pub null_treatment: Option<NullTreatment>,
 }
 
 /// An operator with two arguments to plan
diff --git a/datafusion/functions-aggregate/src/lib.rs b/datafusion/functions-aggregate/src/lib.rs
index 6ae2dfb3697c..3a1bd6bc70bc 100644
--- a/datafusion/functions-aggregate/src/lib.rs
+++ b/datafusion/functions-aggregate/src/lib.rs
@@ -62,6 +62,7 @@ pub mod covariance;
 pub mod first_last;
 pub mod hyperloglog;
 pub mod median;
+pub mod planner;
 pub mod regr;
 pub mod stddev;
 pub mod sum;
diff --git a/datafusion/functions-aggregate/src/planner.rs b/datafusion/functions-aggregate/src/planner.rs
new file mode 100644
index 000000000000..56f12d08ad20
--- /dev/null
+++ b/datafusion/functions-aggregate/src/planner.rs
@@ -0,0 +1,29 @@
+// 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 datafusion_expr::planner::{ExprPlanner, PlannerResult, RawAggregateUDF};
+
+pub struct AggregateUDFPlanner;
+
+impl ExprPlanner for AggregateUDFPlanner {
+    fn plan_aggregate_udf(
+        &self,
+        aggregate_function: RawAggregateUDF,
+    ) -> datafusion_common::Result<PlannerResult<RawAggregateUDF>> {
+        Ok(PlannerResult::Original(aggregate_function))
+    }
+}
diff --git a/datafusion/sql/src/expr/function.rs b/datafusion/sql/src/expr/function.rs
index d9ddf57eb192..67652e459906 100644
--- a/datafusion/sql/src/expr/function.rs
+++ b/datafusion/sql/src/expr/function.rs
@@ -21,6 +21,7 @@ use datafusion_common::{
     internal_datafusion_err, not_impl_err, plan_datafusion_err, plan_err, DFSchema,
     Dependency, Result,
 };
+use datafusion_expr::planner::{PlannerResult, RawAggregateUDF};
 use datafusion_expr::window_frame::{check_window_frame, regularize_window_order_by};
 use datafusion_expr::{
     expr, AggregateFunction, Expr, ExprSchemable, WindowFrame, WindowFunctionDefinition,
@@ -335,7 +336,7 @@ impl<'a, S: ContextProvider> SqlToRel<'a, S> {
             }
         } else {
             // User defined aggregate functions (UDAF) have precedence in case it has the same name as a scalar built-in function
-            if let Some(fm) = self.context_provider.get_aggregate_meta(&name) {
+            if let Some(udf) = self.context_provider.get_aggregate_meta(&name) {
                 let order_by = self.order_by_to_sort_expr(
                     &order_by,
                     schema,
@@ -349,13 +350,31 @@ impl<'a, S: ContextProvider> SqlToRel<'a, S> {
                     .map(|e| self.sql_expr_to_logical_expr(*e, schema, planner_context))
                     .transpose()?
                     .map(Box::new);
-                return Ok(Expr::AggregateFunction(expr::AggregateFunction::new_udf(
-                    fm,
+
+                let raw_aggregate_function = RawAggregateUDF {
+                    udf,
                     args,
                     distinct,
                     filter,
                     order_by,
                     null_treatment,
+                };
+
+                for planner in self.planners.iter() {
+                    if let PlannerResult::Planned(aggregate_function) =
+                        planner.plan_aggregate_udf(raw_aggregate_function.clone())?
+                    {
+                        return Ok(aggregate_function);
+                    }
+                }
+
+                return Ok(Expr::AggregateFunction(expr::AggregateFunction::new_udf(
+                    raw_aggregate_function.udf,
+                    raw_aggregate_function.args,
+                    raw_aggregate_function.distinct,
+                    raw_aggregate_function.filter,
+                    raw_aggregate_function.order_by,
+                    raw_aggregate_function.null_treatment,
                 )));
             }