diff --git a/Cargo.lock b/Cargo.lock
index 28a0699d..e172ba64 100644
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -1053,6 +1053,7 @@ dependencies = [
  "arrow-buffer",
  "arrow-schema",
  "arrow-select",
+ "half",
  "indexmap",
  "numpy",
  "pyo3",
diff --git a/Cargo.toml b/Cargo.toml
index 212784fb..90e093f6 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -14,6 +14,7 @@ arrow-csv = { git = "https://github.com/kylebarron/arrow-rs", rev = "9875740e625
 arrow-ipc = { git = "https://github.com/kylebarron/arrow-rs", rev = "9875740e625b78bfb0b6545eab63a17f47c6a122" }
 arrow-schema = { git = "https://github.com/kylebarron/arrow-rs", rev = "9875740e625b78bfb0b6545eab63a17f47c6a122" }
 arrow-select = { git = "https://github.com/kylebarron/arrow-rs", rev = "9875740e625b78bfb0b6545eab63a17f47c6a122" }
+half = "2"
 indexmap = "2"
 # numpy = "0.21"
 # TODO: Pin to released version once NumPy 2.0 support is merged
diff --git a/pyo3-arrow/Cargo.toml b/pyo3-arrow/Cargo.toml
index 4dda19b4..bcd41e88 100644
--- a/pyo3-arrow/Cargo.toml
+++ b/pyo3-arrow/Cargo.toml
@@ -17,6 +17,7 @@ arrow-buffer = { workspace = true }
 arrow-schema = { workspace = true }
 arrow = { workspace = true, features = ["ffi"] }
 pyo3 = { workspace = true, features = ["abi3-py38", "indexmap"] }
+half = { workspace = true }
 indexmap = { workspace = true }
 numpy = { workspace = true, features = ["half"] }
 thiserror = { workspace = true }
diff --git a/pyo3-arrow/src/interop/numpy/from_numpy.rs b/pyo3-arrow/src/interop/numpy/from_numpy.rs
index 7a534076..1a5571a1 100644
--- a/pyo3-arrow/src/interop/numpy/from_numpy.rs
+++ b/pyo3-arrow/src/interop/numpy/from_numpy.rs
@@ -1,8 +1,8 @@
 use std::sync::Arc;
 
 use arrow::datatypes::{
-    Float32Type, Float64Type, Int16Type, Int32Type, Int64Type, Int8Type, UInt16Type, UInt32Type,
-    UInt64Type, UInt8Type,
+    Float16Type, Float32Type, Float64Type, Int16Type, Int32Type, Int64Type, Int8Type, UInt16Type,
+    UInt32Type, UInt64Type, UInt8Type,
 };
 use arrow_array::{ArrayRef, BooleanArray, PrimitiveArray};
 use numpy::{dtype_bound, PyArray1, PyArrayDescr, PyUntypedArray};
@@ -21,7 +21,9 @@ pub fn from_numpy(py: Python, array: &PyUntypedArray) -> PyArrowResult<ArrayRef>
         }};
     }
     let dtype = array.dtype();
-    if is_type::<f32>(py, dtype) {
+    if is_type::<half::f16>(py, dtype) {
+        numpy_to_arrow!(half::f16, Float16Type)
+    } else if is_type::<f32>(py, dtype) {
         numpy_to_arrow!(f32, Float32Type)
     } else if is_type::<f64>(py, dtype) {
         numpy_to_arrow!(f64, Float64Type)