diff --git a/Project.toml b/Project.toml
index 5eef15fcf..5bd606365 100644
--- a/Project.toml
+++ b/Project.toml
@@ -22,12 +22,15 @@ UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
 pocl_standalone_jll = "54f56a70-6062-5590-a942-1226658f6c83"
 
 [weakdeps]
+EnzymeCore = "f151be2c-9106-41f4-ab19-57ee4f262869"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
+StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
 
 [extensions]
 LinearAlgebraExt = "LinearAlgebra"
 SparseArraysExt = "SparseArrays"
+StaticArraysExt = "StaticArrays"
 
 [compat]
 Adapt = "0.4, 1.0, 2.0, 3.0, 4"
@@ -47,6 +50,7 @@ SPIRVIntrinsics = "1"
 SPIRV_LLVM_Backend_jll = "22"
 SPIRV_Tools_jll = "2024.4, 2025.1"
 SparseArrays = "<0.0.1, 1.6"
+StaticArrays = "0.12, 1.0"
 UUIDs = "<0.0.1, 1.6"
 julia = "1.10"
 pocl_standalone_jll = "7.2"
diff --git a/ext/StaticArraysExt.jl b/ext/StaticArraysExt.jl
new file mode 100644
index 000000000..8cdcdd308
--- /dev/null
+++ b/ext/StaticArraysExt.jl
@@ -0,0 +1,9 @@
+module StaticArraysExt
+
+import KernelAbstractions: get_backend, CPU
+using StaticArrays: SizedArray, MArray
+
+get_backend(A::SizedArray) = get_backend(A.data)
+get_backend(::MArray) = CPU()
+
+end
diff --git a/test/test.jl b/test/test.jl
index 444ffe401..92b36d1b5 100644
--- a/test/test.jl
+++ b/test/test.jl
@@ -4,6 +4,7 @@ using InteractiveUtils
 using LinearAlgebra
 using SparseArrays
 using Adapt
+using StaticArrays
 
 identity(x) = x
 
@@ -104,6 +105,18 @@ function unittest_testsuite(Backend, backend_str, backend_mod, BackendArrayT; sk
         @test @inferred(KernelAbstractions.get_backend(sparse(A))) isa backendT
     end
 
+    @conditional_testset "StaticArrays" skip_tests begin
+        backend = Backend()
+        backendT = typeof(backend).name.wrapper # To look through CUDABackend{true, false}
+        @test backend isa backendT
+
+        @test KernelAbstractions.get_backend(@MMatrix [1.0]) isa CPU
+        @test_throws ArgumentError KernelAbstractions.get_backend(@SMatrix [1.0])
+
+        A = allocate(backend, Float32, 5, 5)
+        @test @inferred(KernelAbstractions.get_backend(SizedMatrix{5, 5}(A))) isa backendT
+    end
+
     @conditional_testset "adapt" skip_tests begin
         backend = Backend()
         x = allocate(backend, Float32, 5)