diff --git a/crates/polars-io/src/ipc/mod.rs b/crates/polars-io/src/ipc/mod.rs
index 1366aa84324fe..1b4c00b8adf45 100644
--- a/crates/polars-io/src/ipc/mod.rs
+++ b/crates/polars-io/src/ipc/mod.rs
@@ -16,3 +16,8 @@ pub use ipc_file::IpcReader;
 #[cfg(feature = "ipc_streaming")]
 pub use ipc_stream::*;
 pub use write::{BatchedWriter, IpcCompression, IpcWriter, IpcWriterOption};
+
+#[cfg(feature = "cloud")]
+mod object_store_reader;
+#[cfg(feature = "cloud")]
+pub use object_store_reader::*;
diff --git a/crates/polars-io/src/ipc/object_store_reader.rs b/crates/polars-io/src/ipc/object_store_reader.rs
new file mode 100644
index 0000000000000..8a7a643609ebc
--- /dev/null
+++ b/crates/polars-io/src/ipc/object_store_reader.rs
@@ -0,0 +1,87 @@
+use bytes::Bytes;
+use object_store::path::Path as ObjectPath;
+use object_store::ObjectStore;
+use polars_core::frame::DataFrame;
+use polars_error::{to_compute_err, PolarsResult};
+
+use crate::pl_async::{get_runtime, with_concurrency_budget};
+use crate::prelude::IpcReader;
+use crate::SerReader;
+
+pub trait ObjectStoreIpc {
+    fn read_ipc(&self, path: &ObjectPath) -> PolarsResult<DataFrame>;
+}
+
+impl<T> ObjectStoreIpc for T
+where
+    T: ObjectStore,
+{
+    fn read_ipc(&self, path: &ObjectPath) -> PolarsResult<DataFrame> {
+        // TODO: This will block the current thread until the data has been
+        // loaded. No other (compute) work can be done on this thread.
+        //
+        // What is our work scheduling strategy? From what I have heard, we do
+        // not intend to make the entire library `async`. However, what do we do
+        // instead?
+        get_runtime().block_on(read_ipc_inner(self, path))
+    }
+}
+
+async fn read_ipc_inner<T: ObjectStore>(store: &T, path: &ObjectPath) -> PolarsResult<DataFrame> {
+    // TODO: Load only what is needed, rather than everything.
+    let file_bytes = with_concurrency_budget(1, || read_bytes(store, path)).await?;
+
+    let reader = IpcReader::new(std::io::Cursor::new(file_bytes));
+
+    let data = reader.finish()?;
+
+    PolarsResult::Ok(data)
+}
+
+async fn read_bytes<T: ObjectStore>(store: &T, path: &ObjectPath) -> PolarsResult<Bytes> {
+    // TODO: Is `to_compute_err` appropriate? It is used in the Parquet
+    // reader as well but I am not sure it is what we want.
+    let get_result = store.get(&path).await.map_err(to_compute_err)?;
+
+    // TODO: Perhaps use the streaming interface?
+    let file_bytes = get_result.bytes().await.map_err(to_compute_err)?;
+
+    PolarsResult::Ok(file_bytes)
+}
+
+#[cfg(test)]
+mod tests {
+    use std::io::Cursor;
+
+    use polars_core::df;
+
+    use super::*;
+    use crate::prelude::IpcWriter;
+    use crate::SerWriter;
+
+    fn to_ipc_bytes(df: &mut DataFrame) -> Vec<u8> {
+        let mut writer: Cursor<Vec<u8>> = Cursor::new(Vec::new());
+        IpcWriter::new(&mut writer).finish(df).unwrap();
+        writer.into_inner()
+    }
+
+    fn write_ipc<T: ObjectStore>(store: &T, path: &ObjectPath, df: &mut DataFrame) {
+        get_runtime()
+            .block_on(store.put(path, to_ipc_bytes(df).into()))
+            .unwrap();
+    }
+
+    #[test]
+    fn read_ipc() {
+        let mut expected_df = df!("a" => [1, 2, 3], "b" => [2, 3, 4], "c" => [3, 4, 5]).unwrap();
+
+        let store = object_store::memory::InMemory::new();
+        let path = ObjectPath::parse("data.ipc").unwrap();
+        write_ipc(&store, &path, &mut expected_df);
+
+        let actual_df = store.read_ipc(&path).unwrap();
+
+        assert_eq!(actual_df.shape(), expected_df.shape());
+        assert!(actual_df.equals(&expected_df));
+    }
+}