diff --git a/dev/tasks/conda-recipes/.ci_support/linux_64_cuda_compiler_version10.2.yaml b/dev/tasks/conda-recipes/.ci_support/linux_64_cuda_compiler_version11.2.yaml
similarity index 79%
rename from dev/tasks/conda-recipes/.ci_support/linux_64_cuda_compiler_version10.2.yaml
rename to dev/tasks/conda-recipes/.ci_support/linux_64_cuda_compiler_version11.2.yaml
index 5d80a17c4df..1cdcec199e7 100644
--- a/dev/tasks/conda-recipes/.ci_support/linux_64_cuda_compiler_version10.2.yaml
+++ b/dev/tasks/conda-recipes/.ci_support/linux_64_cuda_compiler_version11.2.yaml
@@ -1,17 +1,15 @@
 aws_crt_cpp:
-- 0.19.8
+- 0.20.3
 aws_sdk_cpp:
 - 1.10.57
 bzip2:
 - '1'
-c_ares:
-- '1'
 c_compiler:
 - gcc
 c_compiler_version:
-- '7'
+- '10'
 cdt_name:
-- cos6
+- cos7
 channel_sources:
 - conda-forge
 channel_targets:
@@ -19,38 +17,40 @@ channel_targets:
 cuda_compiler:
 - nvcc
 cuda_compiler_version:
-- '10.2'
+- '11.2'
 cuda_compiler_version_min:
-- '10.2'
+- '11.2'
 cxx_compiler:
 - gxx
 cxx_compiler_version:
-- '7'
+- '10'
 docker_image:
-- quay.io/condaforge/linux-anvil-cos7-cuda:10.2
+- quay.io/condaforge/linux-anvil-cuda:11.2
 gflags:
 - '2.2'
 glog:
 - '0.6'
 google_cloud_cpp:
-- 2.8.0
+- '2.12'
 libabseil:
 - '20230125'
 libgrpc:
-- '1.52'
+- '1.54'
+- '1.56'
 libprotobuf:
 - '3.21'
+- 4.23.3
 lz4_c:
 - 1.9.3
 numpy:
 - '1.21'
 - '1.23'
-- '1.20'
-- '1.20'
+- '1.21'
+- '1.21'
 openssl:
 - '3'
 orc:
-- 1.8.3
+- 1.9.0
 pin_run_as_build:
   python:
     min_pin: x.x
@@ -61,7 +61,7 @@ python:
 - 3.8.* *_cpython
 - 3.9.* *_cpython
 re2:
-- 2023.02.02
+- 2023.03.02
 snappy:
 - '1'
 target_platform:
@@ -73,9 +73,12 @@ ucx:
 zip_keys:
 - - c_compiler_version
   - cxx_compiler_version
+  - cuda_compiler
   - cuda_compiler_version
   - cdt_name
   - docker_image
+- - libgrpc
+  - libprotobuf
 - - python
   - numpy
 zlib:
diff --git a/dev/tasks/conda-recipes/.ci_support/linux_64_cuda_compiler_versionNone.yaml b/dev/tasks/conda-recipes/.ci_support/linux_64_cuda_compiler_versionNone.yaml
index 39b25b44690..5be5b58a739 100644
--- a/dev/tasks/conda-recipes/.ci_support/linux_64_cuda_compiler_versionNone.yaml
+++ b/dev/tasks/conda-recipes/.ci_support/linux_64_cuda_compiler_versionNone.yaml
@@ -1,15 +1,13 @@
 aws_crt_cpp:
-- 0.19.8
+- 0.20.3
 aws_sdk_cpp:
 - 1.10.57
 bzip2:
 - '1'
-c_ares:
-- '1'
 c_compiler:
 - gcc
 c_compiler_version:
-- '11'
+- '12'
 cdt_name:
 - cos6
 channel_sources:
@@ -17,15 +15,15 @@ channel_sources:
 channel_targets:
 - conda-forge main
 cuda_compiler:
-- nvcc
+- None
 cuda_compiler_version:
 - None
 cuda_compiler_version_min:
-- '10.2'
+- '11.2'
 cxx_compiler:
 - gxx
 cxx_compiler_version:
-- '11'
+- '12'
 docker_image:
 - quay.io/condaforge/linux-anvil-cos7-x86_64
 gflags:
@@ -33,24 +31,26 @@ gflags:
 glog:
 - '0.6'
 google_cloud_cpp:
-- 2.8.0
+- '2.12'
 libabseil:
 - '20230125'
 libgrpc:
-- '1.52'
+- '1.54'
+- '1.56'
 libprotobuf:
 - '3.21'
+- 4.23.3
 lz4_c:
 - 1.9.3
 numpy:
 - '1.21'
 - '1.23'
-- '1.20'
-- '1.20'
+- '1.21'
+- '1.21'
 openssl:
 - '3'
 orc:
-- 1.8.3
+- 1.9.0
 pin_run_as_build:
   python:
     min_pin: x.x
@@ -61,7 +61,7 @@ python:
 - 3.8.* *_cpython
 - 3.9.* *_cpython
 re2:
-- 2023.02.02
+- 2023.03.02
 snappy:
 - '1'
 target_platform:
@@ -73,9 +73,12 @@ ucx:
 zip_keys:
 - - c_compiler_version
   - cxx_compiler_version
+  - cuda_compiler
   - cuda_compiler_version
   - cdt_name
   - docker_image
+- - libgrpc
+  - libprotobuf
 - - python
   - numpy
 zlib:
diff --git a/dev/tasks/conda-recipes/.ci_support/linux_aarch64_cuda_compiler_version11.2.yaml b/dev/tasks/conda-recipes/.ci_support/linux_aarch64_cuda_compiler_version11.2.yaml
new file mode 100644
index 00000000000..1677b03564c
--- /dev/null
+++ b/dev/tasks/conda-recipes/.ci_support/linux_aarch64_cuda_compiler_version11.2.yaml
@@ -0,0 +1,91 @@
+BUILD:
+- aarch64-conda_cos7-linux-gnu
+aws_crt_cpp:
+- 0.20.3
+aws_sdk_cpp:
+- 1.10.57
+bzip2:
+- '1'
+c_compiler:
+- gcc
+c_compiler_version:
+- '10'
+cdt_arch:
+- aarch64
+cdt_name:
+- cos7
+channel_sources:
+- conda-forge
+channel_targets:
+- conda-forge main
+cuda_compiler:
+- nvcc
+cuda_compiler_version:
+- '11.2'
+cuda_compiler_version_min:
+- '11.2'
+cxx_compiler:
+- gxx
+cxx_compiler_version:
+- '10'
+docker_image:
+- quay.io/condaforge/linux-anvil-cuda:11.2
+gflags:
+- '2.2'
+glog:
+- '0.6'
+google_cloud_cpp:
+- '2.12'
+libabseil:
+- '20230125'
+libgrpc:
+- '1.54'
+- '1.56'
+libprotobuf:
+- '3.21'
+- 4.23.3
+lz4_c:
+- 1.9.3
+numpy:
+- '1.21'
+- '1.23'
+- '1.21'
+- '1.21'
+openssl:
+- '3'
+orc:
+- 1.9.0
+pin_run_as_build:
+  python:
+    min_pin: x.x
+    max_pin: x.x
+python:
+- 3.10.* *_cpython
+- 3.11.* *_cpython
+- 3.8.* *_cpython
+- 3.9.* *_cpython
+re2:
+- 2023.03.02
+snappy:
+- '1'
+target_platform:
+- linux-aarch64
+thrift_cpp:
+- 0.18.1
+ucx:
+- 1.14.0
+zip_keys:
+- - c_compiler_version
+  - cxx_compiler_version
+  - cuda_compiler
+  - cuda_compiler_version
+  - cdt_name
+  - docker_image
+- - libgrpc
+  - libprotobuf
+- - python
+  - numpy
+zlib:
+- '1.2'
+zstd:
+- '1.5'
diff --git a/dev/tasks/conda-recipes/.ci_support/linux_aarch64_cuda_compiler_versionNone.yaml b/dev/tasks/conda-recipes/.ci_support/linux_aarch64_cuda_compiler_versionNone.yaml
index af0fc2dcd25..88fdf1254e6 100644
--- a/dev/tasks/conda-recipes/.ci_support/linux_aarch64_cuda_compiler_versionNone.yaml
+++ b/dev/tasks/conda-recipes/.ci_support/linux_aarch64_cuda_compiler_versionNone.yaml
@@ -1,17 +1,15 @@
 BUILD:
 - aarch64-conda_cos7-linux-gnu
 aws_crt_cpp:
-- 0.19.8
+- 0.20.3
 aws_sdk_cpp:
 - 1.10.57
 bzip2:
 - '1'
-c_ares:
-- '1'
 c_compiler:
 - gcc
 c_compiler_version:
-- '11'
+- '12'
 cdt_arch:
 - aarch64
 cdt_name:
@@ -20,12 +18,16 @@ channel_sources:
 - conda-forge
 channel_targets:
 - conda-forge main
+cuda_compiler:
+- None
 cuda_compiler_version:
 - None
+cuda_compiler_version_min:
+- '11.2'
 cxx_compiler:
 - gxx
 cxx_compiler_version:
-- '11'
+- '12'
 docker_image:
 - quay.io/condaforge/linux-anvil-cos7-x86_64
 gflags:
@@ -33,24 +35,26 @@ gflags:
 glog:
 - '0.6'
 google_cloud_cpp:
-- 2.8.0
+- '2.12'
 libabseil:
 - '20230125'
 libgrpc:
-- '1.52'
+- '1.54'
+- '1.56'
 libprotobuf:
 - '3.21'
+- 4.23.3
 lz4_c:
 - 1.9.3
 numpy:
 - '1.21'
 - '1.23'
-- '1.20'
-- '1.20'
+- '1.21'
+- '1.21'
 openssl:
 - '3'
 orc:
-- 1.8.3
+- 1.9.0
 pin_run_as_build:
   python:
     min_pin: x.x
@@ -61,7 +65,7 @@ python:
 - 3.8.* *_cpython
 - 3.9.* *_cpython
 re2:
-- 2023.02.02
+- 2023.03.02
 snappy:
 - '1'
 target_platform:
@@ -73,9 +77,12 @@ ucx:
 zip_keys:
 - - c_compiler_version
   - cxx_compiler_version
+  - cuda_compiler
   - cuda_compiler_version
   - cdt_name
   - docker_image
+- - libgrpc
+  - libprotobuf
 - - python
   - numpy
 zlib:
diff --git a/dev/tasks/conda-recipes/.ci_support/linux_ppc64le_cuda_compiler_version11.2.yaml b/dev/tasks/conda-recipes/.ci_support/linux_ppc64le_cuda_compiler_version11.2.yaml
new file mode 100644
index 00000000000..3585db7b99b
--- /dev/null
+++ b/dev/tasks/conda-recipes/.ci_support/linux_ppc64le_cuda_compiler_version11.2.yaml
@@ -0,0 +1,87 @@
+aws_crt_cpp:
+- 0.20.3
+aws_sdk_cpp:
+- 1.10.57
+bzip2:
+- '1'
+c_compiler:
+- gcc
+c_compiler_version:
+- '10'
+cdt_name:
+- cos7
+channel_sources:
+- conda-forge
+channel_targets:
+- conda-forge main
+cuda_compiler:
+- nvcc
+cuda_compiler_version:
+- '11.2'
+cuda_compiler_version_min:
+- '11.2'
+cxx_compiler:
+- gxx
+cxx_compiler_version:
+- '10'
+docker_image:
+- quay.io/condaforge/linux-anvil-cuda:11.2
+gflags:
+- '2.2'
+glog:
+- '0.6'
+google_cloud_cpp:
+- '2.12'
+libabseil:
+- '20230125'
+libgrpc:
+- '1.54'
+- '1.56'
+libprotobuf:
+- '3.21'
+- 4.23.3
+lz4_c:
+- 1.9.3
+numpy:
+- '1.21'
+- '1.23'
+- '1.21'
+- '1.21'
+openssl:
+- '3'
+orc:
+- 1.9.0
+pin_run_as_build:
+  python:
+    min_pin: x.x
+    max_pin: x.x
+python:
+- 3.10.* *_cpython
+- 3.11.* *_cpython
+- 3.8.* *_cpython
+- 3.9.* *_cpython
+re2:
+- 2023.03.02
+snappy:
+- '1'
+target_platform:
+- linux-ppc64le
+thrift_cpp:
+- 0.18.1
+ucx:
+- 1.14.0
+zip_keys:
+- - c_compiler_version
+  - cxx_compiler_version
+  - cuda_compiler
+  - cuda_compiler_version
+  - cdt_name
+  - docker_image
+- - libgrpc
+  - libprotobuf
+- - python
+  - numpy
+zlib:
+- '1.2'
+zstd:
+- '1.5'
diff --git a/dev/tasks/conda-recipes/.ci_support/linux_ppc64le_cuda_compiler_versionNone.yaml b/dev/tasks/conda-recipes/.ci_support/linux_ppc64le_cuda_compiler_versionNone.yaml
index 83a1f7f7400..c13a5222542 100644
--- a/dev/tasks/conda-recipes/.ci_support/linux_ppc64le_cuda_compiler_versionNone.yaml
+++ b/dev/tasks/conda-recipes/.ci_support/linux_ppc64le_cuda_compiler_versionNone.yaml
@@ -1,27 +1,29 @@
 aws_crt_cpp:
-- 0.19.8
+- 0.20.3
 aws_sdk_cpp:
 - 1.10.57
 bzip2:
 - '1'
-c_ares:
-- '1'
 c_compiler:
 - gcc
 c_compiler_version:
-- '11'
+- '12'
 cdt_name:
 - cos7
 channel_sources:
 - conda-forge
 channel_targets:
 - conda-forge main
+cuda_compiler:
+- None
 cuda_compiler_version:
 - None
+cuda_compiler_version_min:
+- '11.2'
 cxx_compiler:
 - gxx
 cxx_compiler_version:
-- '11'
+- '12'
 docker_image:
 - quay.io/condaforge/linux-anvil-cos7-x86_64
 gflags:
@@ -29,24 +31,26 @@ gflags:
 glog:
 - '0.6'
 google_cloud_cpp:
-- 2.8.0
+- '2.12'
 libabseil:
 - '20230125'
 libgrpc:
-- '1.52'
+- '1.54'
+- '1.56'
 libprotobuf:
 - '3.21'
+- 4.23.3
 lz4_c:
 - 1.9.3
 numpy:
 - '1.21'
 - '1.23'
-- '1.20'
-- '1.20'
+- '1.21'
+- '1.21'
 openssl:
 - '3'
 orc:
-- 1.8.3
+- 1.9.0
 pin_run_as_build:
   python:
     min_pin: x.x
@@ -57,7 +61,7 @@ python:
 - 3.8.* *_cpython
 - 3.9.* *_cpython
 re2:
-- 2023.02.02
+- 2023.03.02
 snappy:
 - '1'
 target_platform:
@@ -69,9 +73,12 @@ ucx:
 zip_keys:
 - - c_compiler_version
   - cxx_compiler_version
+  - cuda_compiler
   - cuda_compiler_version
   - cdt_name
   - docker_image
+- - libgrpc
+  - libprotobuf
 - - python
   - numpy
 zlib:
diff --git a/dev/tasks/conda-recipes/.ci_support/osx_64_.yaml b/dev/tasks/conda-recipes/.ci_support/osx_64_.yaml
index 0cf990cc113..dd4a230760e 100644
--- a/dev/tasks/conda-recipes/.ci_support/osx_64_.yaml
+++ b/dev/tasks/conda-recipes/.ci_support/osx_64_.yaml
@@ -1,17 +1,15 @@
 MACOSX_DEPLOYMENT_TARGET:
 - '10.9'
 aws_crt_cpp:
-- 0.19.8
+- 0.20.3
 aws_sdk_cpp:
 - 1.10.57
 bzip2:
 - '1'
-c_ares:
-- '1'
 c_compiler:
 - clang
 c_compiler_version:
-- '14'
+- '15'
 channel_sources:
 - conda-forge
 channel_targets:
@@ -21,19 +19,21 @@ cuda_compiler_version:
 cxx_compiler:
 - clangxx
 cxx_compiler_version:
-- '14'
+- '15'
 gflags:
 - '2.2'
 glog:
 - '0.6'
 google_cloud_cpp:
-- 2.8.0
+- '2.12'
 libabseil:
 - '20230125'
 libgrpc:
-- '1.52'
+- '1.54'
+- '1.56'
 libprotobuf:
 - '3.21'
+- 4.23.3
 lz4_c:
 - 1.9.3
 macos_machine:
@@ -41,12 +41,12 @@ macos_machine:
 numpy:
 - '1.21'
 - '1.23'
-- '1.20'
-- '1.20'
+- '1.21'
+- '1.21'
 openssl:
 - '3'
 orc:
-- 1.8.3
+- 1.9.0
 pin_run_as_build:
   python:
     min_pin: x.x
@@ -57,7 +57,7 @@ python:
 - 3.8.* *_cpython
 - 3.9.* *_cpython
 re2:
-- 2023.02.02
+- 2023.03.02
 snappy:
 - '1'
 target_platform:
@@ -67,6 +67,8 @@ thrift_cpp:
 zip_keys:
 - - c_compiler_version
   - cxx_compiler_version
+- - libgrpc
+  - libprotobuf
 - - python
   - numpy
 zlib:
diff --git a/dev/tasks/conda-recipes/.ci_support/osx_arm64_.yaml b/dev/tasks/conda-recipes/.ci_support/osx_arm64_.yaml
index 3faa6278e81..6a6713a54fe 100644
--- a/dev/tasks/conda-recipes/.ci_support/osx_arm64_.yaml
+++ b/dev/tasks/conda-recipes/.ci_support/osx_arm64_.yaml
@@ -1,17 +1,15 @@
 MACOSX_DEPLOYMENT_TARGET:
 - '11.0'
 aws_crt_cpp:
-- 0.19.8
+- 0.20.3
 aws_sdk_cpp:
 - 1.10.57
 bzip2:
 - '1'
-c_ares:
-- '1'
 c_compiler:
 - clang
 c_compiler_version:
-- '14'
+- '15'
 channel_sources:
 - conda-forge
 channel_targets:
@@ -21,19 +19,21 @@ cuda_compiler_version:
 cxx_compiler:
 - clangxx
 cxx_compiler_version:
-- '14'
+- '15'
 gflags:
 - '2.2'
 glog:
 - '0.6'
 google_cloud_cpp:
-- 2.8.0
+- '2.12'
 libabseil:
 - '20230125'
 libgrpc:
-- '1.52'
+- '1.54'
+- '1.56'
 libprotobuf:
 - '3.21'
+- 4.23.3
 lz4_c:
 - 1.9.3
 macos_machine:
@@ -41,12 +41,12 @@ macos_machine:
 numpy:
 - '1.21'
 - '1.23'
-- '1.20'
-- '1.20'
+- '1.21'
+- '1.21'
 openssl:
 - '3'
 orc:
-- 1.8.3
+- 1.9.0
 pin_run_as_build:
   python:
     min_pin: x.x
@@ -57,7 +57,7 @@ python:
 - 3.8.* *_cpython
 - 3.9.* *_cpython
 re2:
-- 2023.02.02
+- 2023.03.02
 snappy:
 - '1'
 target_platform:
@@ -67,6 +67,8 @@ thrift_cpp:
 zip_keys:
 - - c_compiler_version
   - cxx_compiler_version
+- - libgrpc
+  - libprotobuf
 - - python
   - numpy
 zlib:
diff --git a/dev/tasks/conda-recipes/.ci_support/r/linux_64_r_base4.1.yaml b/dev/tasks/conda-recipes/.ci_support/r/linux_64_r_base4.1.yaml
new file mode 100644
index 00000000000..e63767cbe97
--- /dev/null
+++ b/dev/tasks/conda-recipes/.ci_support/r/linux_64_r_base4.1.yaml
@@ -0,0 +1,27 @@
+c_compiler:
+- gcc
+c_compiler_version:
+- '12'
+cdt_name:
+- cos6
+channel_sources:
+- conda-forge
+channel_targets:
+- conda-forge main
+cxx_compiler:
+- gxx
+cxx_compiler_version:
+- '12'
+docker_image:
+- quay.io/condaforge/linux-anvil-cos7-x86_64
+pin_run_as_build:
+  r-base:
+    min_pin: x.x
+    max_pin: x.x
+r_base:
+- '4.1'
+target_platform:
+- linux-64
+zip_keys:
+- - c_compiler_version
+  - cxx_compiler_version
diff --git a/dev/tasks/conda-recipes/.ci_support/r/linux_64_r_base4.2.yaml b/dev/tasks/conda-recipes/.ci_support/r/linux_64_r_base4.2.yaml
index 38753baa7ed..6e661e1357d 100644
--- a/dev/tasks/conda-recipes/.ci_support/r/linux_64_r_base4.2.yaml
+++ b/dev/tasks/conda-recipes/.ci_support/r/linux_64_r_base4.2.yaml
@@ -1,7 +1,7 @@
 c_compiler:
 - gcc
 c_compiler_version:
-- '11'
+- '12'
 cdt_name:
 - cos6
 channel_sources:
@@ -11,7 +11,7 @@ channel_targets:
 cxx_compiler:
 - gxx
 cxx_compiler_version:
-- '11'
+- '12'
 docker_image:
 - quay.io/condaforge/linux-anvil-cos7-x86_64
 pin_run_as_build:
diff --git a/dev/tasks/conda-recipes/.ci_support/r/linux_aarch64_r_base4.1.yaml b/dev/tasks/conda-recipes/.ci_support/r/linux_aarch64_r_base4.1.yaml
new file mode 100644
index 00000000000..2b80b020fdc
--- /dev/null
+++ b/dev/tasks/conda-recipes/.ci_support/r/linux_aarch64_r_base4.1.yaml
@@ -0,0 +1,31 @@
+BUILD:
+- aarch64-conda_cos7-linux-gnu
+c_compiler:
+- gcc
+c_compiler_version:
+- '12'
+cdt_arch:
+- aarch64
+cdt_name:
+- cos7
+channel_sources:
+- conda-forge
+channel_targets:
+- conda-forge main
+cxx_compiler:
+- gxx
+cxx_compiler_version:
+- '12'
+docker_image:
+- quay.io/condaforge/linux-anvil-cos7-x86_64
+pin_run_as_build:
+  r-base:
+    min_pin: x.x
+    max_pin: x.x
+r_base:
+- '4.1'
+target_platform:
+- linux-aarch64
+zip_keys:
+- - c_compiler_version
+  - cxx_compiler_version
diff --git a/dev/tasks/conda-recipes/.ci_support/r/linux_aarch64_r_base4.2.yaml b/dev/tasks/conda-recipes/.ci_support/r/linux_aarch64_r_base4.2.yaml
index 2913bbb4f14..9dcd0c34c85 100644
--- a/dev/tasks/conda-recipes/.ci_support/r/linux_aarch64_r_base4.2.yaml
+++ b/dev/tasks/conda-recipes/.ci_support/r/linux_aarch64_r_base4.2.yaml
@@ -3,7 +3,7 @@ BUILD:
 c_compiler:
 - gcc
 c_compiler_version:
-- '11'
+- '12'
 cdt_arch:
 - aarch64
 cdt_name:
@@ -15,7 +15,7 @@ channel_targets:
 cxx_compiler:
 - gxx
 cxx_compiler_version:
-- '11'
+- '12'
 docker_image:
 - quay.io/condaforge/linux-anvil-cos7-x86_64
 pin_run_as_build:
diff --git a/dev/tasks/conda-recipes/.ci_support/r/osx_64_r_base4.1.yaml b/dev/tasks/conda-recipes/.ci_support/r/osx_64_r_base4.1.yaml
new file mode 100644
index 00000000000..6be6c2f5462
--- /dev/null
+++ b/dev/tasks/conda-recipes/.ci_support/r/osx_64_r_base4.1.yaml
@@ -0,0 +1,27 @@
+MACOSX_DEPLOYMENT_TARGET:
+- '10.9'
+c_compiler:
+- clang
+c_compiler_version:
+- '15'
+channel_sources:
+- conda-forge
+channel_targets:
+- conda-forge main
+cxx_compiler:
+- clangxx
+cxx_compiler_version:
+- '15'
+macos_machine:
+- x86_64-apple-darwin13.4.0
+pin_run_as_build:
+  r-base:
+    min_pin: x.x
+    max_pin: x.x
+r_base:
+- '4.1'
+target_platform:
+- osx-64
+zip_keys:
+- - c_compiler_version
+  - cxx_compiler_version
diff --git a/dev/tasks/conda-recipes/.ci_support/r/osx_64_r_base4.2.yaml b/dev/tasks/conda-recipes/.ci_support/r/osx_64_r_base4.2.yaml
index 25437ee4adc..2116eaf7b8b 100644
--- a/dev/tasks/conda-recipes/.ci_support/r/osx_64_r_base4.2.yaml
+++ b/dev/tasks/conda-recipes/.ci_support/r/osx_64_r_base4.2.yaml
@@ -3,7 +3,7 @@ MACOSX_DEPLOYMENT_TARGET:
 c_compiler:
 - clang
 c_compiler_version:
-- '14'
+- '15'
 channel_sources:
 - conda-forge
 channel_targets:
@@ -11,7 +11,7 @@ channel_targets:
 cxx_compiler:
 - clangxx
 cxx_compiler_version:
-- '14'
+- '15'
 macos_machine:
 - x86_64-apple-darwin13.4.0
 pin_run_as_build:
diff --git a/dev/tasks/conda-recipes/.ci_support/r/osx_arm64_r_base4.1.yaml b/dev/tasks/conda-recipes/.ci_support/r/osx_arm64_r_base4.1.yaml
new file mode 100644
index 00000000000..0ce856fcccf
--- /dev/null
+++ b/dev/tasks/conda-recipes/.ci_support/r/osx_arm64_r_base4.1.yaml
@@ -0,0 +1,27 @@
+MACOSX_DEPLOYMENT_TARGET:
+- '11.0'
+c_compiler:
+- clang
+c_compiler_version:
+- '15'
+channel_sources:
+- conda-forge
+channel_targets:
+- conda-forge main
+cxx_compiler:
+- clangxx
+cxx_compiler_version:
+- '15'
+macos_machine:
+- arm64-apple-darwin20.0.0
+pin_run_as_build:
+  r-base:
+    min_pin: x.x
+    max_pin: x.x
+r_base:
+- '4.1'
+target_platform:
+- osx-arm64
+zip_keys:
+- - c_compiler_version
+  - cxx_compiler_version
diff --git a/dev/tasks/conda-recipes/.ci_support/r/osx_arm64_r_base4.2.yaml b/dev/tasks/conda-recipes/.ci_support/r/osx_arm64_r_base4.2.yaml
index 1557b23ff96..af8a07c4220 100644
--- a/dev/tasks/conda-recipes/.ci_support/r/osx_arm64_r_base4.2.yaml
+++ b/dev/tasks/conda-recipes/.ci_support/r/osx_arm64_r_base4.2.yaml
@@ -3,7 +3,7 @@ MACOSX_DEPLOYMENT_TARGET:
 c_compiler:
 - clang
 c_compiler_version:
-- '14'
+- '15'
 channel_sources:
 - conda-forge
 channel_targets:
@@ -11,7 +11,7 @@ channel_targets:
 cxx_compiler:
 - clangxx
 cxx_compiler_version:
-- '14'
+- '15'
 macos_machine:
 - arm64-apple-darwin20.0.0
 pin_run_as_build:
diff --git a/dev/tasks/conda-recipes/.ci_support/win_64_cuda_compiler_version10.2.yaml b/dev/tasks/conda-recipes/.ci_support/win_64_cuda_compiler_version11.2.yaml
similarity index 78%
rename from dev/tasks/conda-recipes/.ci_support/win_64_cuda_compiler_version10.2.yaml
rename to dev/tasks/conda-recipes/.ci_support/win_64_cuda_compiler_version11.2.yaml
index 6ea00e3bd0d..f75d92e276d 100644
--- a/dev/tasks/conda-recipes/.ci_support/win_64_cuda_compiler_version10.2.yaml
+++ b/dev/tasks/conda-recipes/.ci_support/win_64_cuda_compiler_version11.2.yaml
@@ -1,3 +1,5 @@
+aws_crt_cpp:
+- 0.20.3
 aws_sdk_cpp:
 - 1.10.57
 bzip2:
@@ -13,9 +15,9 @@ channel_targets:
 cuda_compiler:
 - nvcc
 cuda_compiler_version:
-- '10.2'
+- '11.2'
 cuda_compiler_version_min:
-- '10.2'
+- '11.2'
 cxx_compiler:
 - vs2019
 gflags:
@@ -23,28 +25,30 @@ gflags:
 glog:
 - '0.6'
 google_cloud_cpp:
-- 2.8.0
+- '2.12'
 libabseil:
 - '20230125'
 libcrc32c:
 - '1.1'
 libcurl:
-- '7'
+- '8'
 libgrpc:
-- '1.52'
+- '1.54'
+- '1.56'
 libprotobuf:
 - '3.21'
+- 4.23.3
 lz4_c:
 - 1.9.3
 numpy:
 - '1.21'
 - '1.23'
-- '1.20'
-- '1.20'
+- '1.21'
+- '1.21'
 openssl:
 - '3'
 orc:
-- 1.8.3
+- 1.9.0
 pin_run_as_build:
   python:
     min_pin: x.x
@@ -55,7 +59,7 @@ python:
 - 3.8.* *_cpython
 - 3.9.* *_cpython
 re2:
-- 2023.02.02
+- 2023.03.02
 snappy:
 - '1'
 target_platform:
@@ -63,6 +67,10 @@ target_platform:
 thrift_cpp:
 - 0.18.1
 zip_keys:
+- - cuda_compiler
+  - cuda_compiler_version
+- - libgrpc
+  - libprotobuf
 - - python
   - numpy
 zlib:
diff --git a/dev/tasks/conda-recipes/.ci_support/win_64_cuda_compiler_versionNone.yaml b/dev/tasks/conda-recipes/.ci_support/win_64_cuda_compiler_versionNone.yaml
index 183356662c6..6d8fb15b15a 100644
--- a/dev/tasks/conda-recipes/.ci_support/win_64_cuda_compiler_versionNone.yaml
+++ b/dev/tasks/conda-recipes/.ci_support/win_64_cuda_compiler_versionNone.yaml
@@ -1,3 +1,5 @@
+aws_crt_cpp:
+- 0.20.3
 aws_sdk_cpp:
 - 1.10.57
 bzip2:
@@ -11,11 +13,11 @@ channel_sources:
 channel_targets:
 - conda-forge main
 cuda_compiler:
-- nvcc
+- None
 cuda_compiler_version:
 - None
 cuda_compiler_version_min:
-- '10.2'
+- '11.2'
 cxx_compiler:
 - vs2019
 gflags:
@@ -23,28 +25,30 @@ gflags:
 glog:
 - '0.6'
 google_cloud_cpp:
-- 2.8.0
+- '2.12'
 libabseil:
 - '20230125'
 libcrc32c:
 - '1.1'
 libcurl:
-- '7'
+- '8'
 libgrpc:
-- '1.52'
+- '1.54'
+- '1.56'
 libprotobuf:
 - '3.21'
+- 4.23.3
 lz4_c:
 - 1.9.3
 numpy:
 - '1.21'
 - '1.23'
-- '1.20'
-- '1.20'
+- '1.21'
+- '1.21'
 openssl:
 - '3'
 orc:
-- 1.8.3
+- 1.9.0
 pin_run_as_build:
   python:
     min_pin: x.x
@@ -55,7 +59,7 @@ python:
 - 3.8.* *_cpython
 - 3.9.* *_cpython
 re2:
-- 2023.02.02
+- 2023.03.02
 snappy:
 - '1'
 target_platform:
@@ -63,6 +67,10 @@ target_platform:
 thrift_cpp:
 - 0.18.1
 zip_keys:
+- - cuda_compiler
+  - cuda_compiler_version
+- - libgrpc
+  - libprotobuf
 - - python
   - numpy
 zlib:
diff --git a/dev/tasks/conda-recipes/arrow-cpp/activate.sh b/dev/tasks/conda-recipes/arrow-cpp/activate.sh
index 90210fac0a0..8757612781b 100644
--- a/dev/tasks/conda-recipes/arrow-cpp/activate.sh
+++ b/dev/tasks/conda-recipes/arrow-cpp/activate.sh
@@ -7,24 +7,70 @@
 # doesn't come with a deactivate script, because the symlink
 # is benign and doesn't need to be deleted.
 
-# where the GDB wrappers get installed
-GDB_PREFIX=$CONDA_PREFIX/share/gdb/auto-load
+_la_log() {
+    if [ "${CF_LIBARROW_ACTIVATE_LOGGING:-}" = "1" ]; then
+        # The following loop is necessary to handle multi-line strings
+        # like for the output of `ls -al`.
+        printf '%s\n' "$*" | while IFS= read -r line
+        do
+            echo "$CONDA_PREFIX/etc/conda/activate.d/libarrow_activate.sh DEBUG: $line"
+        done
+    fi
+}
+
+_la_log "Beginning libarrow activation."
 
-# If the directory is not writable, nothing can be done
-if [ ! -w $GDB_PREFIX ]; then
-    return
-fi
+# where the GDB wrappers get installed
+_la_gdb_prefix="$CONDA_PREFIX/share/gdb/auto-load"
 
-# this needs to be in sync with the respective patch
-PLACEHOLDER=replace_this_section_with_absolute_slashed_path_to_CONDA_PREFIX
+# this needs to be in sync with ARROW_GDB_INSTALL_DIR in build.sh
+_la_placeholder="replace_this_section_with_absolute_slashed_path_to_CONDA_PREFIX"
 # the paths here are intentionally stacked, see #935, resp.
 # https://github.com/apache/arrow/blob/master/docs/source/cpp/gdb.rst#manual-loading
-WRAPPER_DIR=$GDB_PREFIX/$CONDA_PREFIX/lib
+_la_symlink_dir="$_la_gdb_prefix/$CONDA_PREFIX/lib"
+_la_orig_install_dir="$_la_gdb_prefix/$_la_placeholder/lib"
 
-mkdir -p $WRAPPER_DIR
-# there's only one lib in that folder, but the libname changes
+_la_log "          _la_gdb_prefix: $_la_gdb_prefix"
+_la_log "         _la_placeholder: $_la_placeholder"
+_la_log "         _la_symlink_dir: $_la_symlink_dir"
+_la_log "    _la_orig_install_dir: $_la_orig_install_dir"
+_la_log "  content of that folder:"
+_la_log "$(ls -al "$_la_orig_install_dir" | sed 's/^/      /')"
+
+# there's only one lib in the _la_orig_install_dir folder, but the libname changes
 # based on the version so use a loop instead of hardcoding it.
-for f in $GDB_PREFIX/$PLACEHOLDER/lib/*.py; do
-    # overwrite, because we don't have deactivation (i.e. symlink remains)
-    ln -sf $f $WRAPPER_DIR/$(basename $f)
+for _la_target in "$_la_orig_install_dir/"*.py; do
+    if [ ! -e "$_la_target" ]; then
+        # If the file doesn't exist, skip this iteration of the loop.
+        # (This happens when no files are found, in which case the
+        # loop runs with target equal to the pattern itself.)
+        _la_log 'Folder $_la_orig_install_dir seems to not contain .py files, skipping'
+        continue
+    fi
+    _la_symlink="$_la_symlink_dir/$(basename "$_la_target")"
+    _la_log "   _la_target: $_la_target"
+    _la_log "  _la_symlink: $_la_symlink"
+    if [ -L "$_la_symlink" ] && [ "$(readlink "$_la_symlink")" = "$_la_target" ]; then
+        _la_log 'symlink $_la_symlink already exists and points to $_la_target, skipping.'
+        continue
+    fi
+    _la_log 'Creating symlink $_la_symlink pointing to $_la_target'
+    mkdir -p "$_la_symlink_dir" || true
+    # this check also creates the symlink; if it fails, we enter the if-branch.
+    if ! ln -sf "$_la_target" "$_la_symlink"; then
+        echo -n "${BASH_SOURCE[0]} ERROR: Failed to create symlink from "
+        echo -n "'$_la_target' to '$_la_symlink'"
+        echo
+        continue
+    fi
 done
+
+_la_log "Libarrow activation complete."
+
+unset _la_gdb_prefix
+unset _la_log
+unset _la_orig_install_dir
+unset _la_placeholder
+unset _la_symlink
+unset _la_symlink_dir
+unset _la_target
diff --git a/dev/tasks/conda-recipes/arrow-cpp/bld-arrow.bat b/dev/tasks/conda-recipes/arrow-cpp/build-arrow.bat
similarity index 89%
rename from dev/tasks/conda-recipes/arrow-cpp/bld-arrow.bat
rename to dev/tasks/conda-recipes/arrow-cpp/build-arrow.bat
index 60c81be7411..1268771643d 100644
--- a/dev/tasks/conda-recipes/arrow-cpp/bld-arrow.bat
+++ b/dev/tasks/conda-recipes/arrow-cpp/build-arrow.bat
@@ -1,16 +1,12 @@
 @echo on
 
-mkdir "%SRC_DIR%"\cpp\build
-pushd "%SRC_DIR%"\cpp\build
+mkdir cpp\build
+pushd cpp\build
 
 :: Enable CUDA support
 if "%cuda_compiler_version%"=="None" (
     set "EXTRA_CMAKE_ARGS=-DARROW_CUDA=OFF"
 ) else (
-    REM this should move to nvcc-feedstock
-    set "CUDA_PATH=%CUDA_PATH:\=/%"
-    set "CUDA_HOME=%CUDA_HOME:\=/%"
-
     set "EXTRA_CMAKE_ARGS=-DARROW_CUDA=ON"
 )
 
@@ -18,8 +14,9 @@ if "%cuda_compiler_version%"=="None" (
 set "READ_RECIPE_META_YAML_WHY_NOT=OFF"
 
 :: for available switches see
-:: https://github.com/apache/arrow/blame/apache-arrow-11.0.0/cpp/cmake_modules/DefineOptions.cmake
+:: https://github.com/apache/arrow/blame/apache-arrow-12.0.0/cpp/cmake_modules/DefineOptions.cmake
 cmake -G "Ninja" ^
+      -DARROW_ACERO=ON ^
       -DARROW_BOOST_USE_SHARED:BOOL=ON ^
       -DARROW_BUILD_STATIC:BOOL=OFF ^
       -DARROW_BUILD_TESTS:BOOL=OFF ^
@@ -69,3 +66,6 @@ cmake --build . --target install --config Release
 if %ERRORLEVEL% neq 0 exit 1
 
 popd
+
+:: clean up between builds (and to save space)
+rmdir /s /q cpp\build
diff --git a/dev/tasks/conda-recipes/arrow-cpp/build-arrow.sh b/dev/tasks/conda-recipes/arrow-cpp/build-arrow.sh
index fb8cbade865..dc588f94738 100755
--- a/dev/tasks/conda-recipes/arrow-cpp/build-arrow.sh
+++ b/dev/tasks/conda-recipes/arrow-cpp/build-arrow.sh
@@ -30,27 +30,21 @@ fi
 # Enable CUDA support
 if [[ ! -z "${cuda_compiler_version+x}" && "${cuda_compiler_version}" != "None" ]]
 then
-    if [[ -z "${CUDA_HOME+x}" ]]
-    then
-        echo "cuda_compiler_version=${cuda_compiler_version} CUDA_HOME=$CUDA_HOME"
-        CUDA_GDB_EXECUTABLE=$(which cuda-gdb || exit 0)
-        if [[ -n "$CUDA_GDB_EXECUTABLE" ]]
-        then
-            CUDA_HOME=$(dirname $(dirname $CUDA_GDB_EXECUTABLE))
-        else
-            echo "Cannot determine CUDA_HOME: cuda-gdb not in PATH"
-            return 1
-        fi
-    fi
-    EXTRA_CMAKE_ARGS=" ${EXTRA_CMAKE_ARGS} -DARROW_CUDA=ON -DCUDA_TOOLKIT_ROOT_DIR=${CUDA_HOME} -DCMAKE_LIBRARY_PATH=${CUDA_HOME}/lib64/stubs"
+    EXTRA_CMAKE_ARGS=" ${EXTRA_CMAKE_ARGS} -DARROW_CUDA=ON -DCUDA_TOOLKIT_ROOT_DIR=${CUDA_HOME} -DCMAKE_LIBRARY_PATH=${CONDA_BUILD_SYSROOT}/lib"
 else
     EXTRA_CMAKE_ARGS=" ${EXTRA_CMAKE_ARGS} -DARROW_CUDA=OFF"
 fi
 
-if [[ "${target_platform}" == "osx-arm64" ]]; then
-    EXTRA_CMAKE_ARGS="${EXTRA_CMAKE_ARGS} -DCLANG_EXECUTABLE=${BUILD_PREFIX}/bin/clang -DLLVM_LINK_EXECUTABLE=${BUILD_PREFIX}/bin/llvm-link"
+if [[ "${build_platform}" != "${target_platform}" ]]; then
+    # point to a usable protoc/grpc_cpp_plugin if we're cross-compiling
+    EXTRA_CMAKE_ARGS="${EXTRA_CMAKE_ARGS} -DProtobuf_PROTOC_EXECUTABLE=$BUILD_PREFIX/bin/protoc"
+    if [[ ! -f ${BUILD_PREFIX}/bin/${CONDA_TOOLCHAIN_HOST}-clang ]]; then
+        ln -sf ${BUILD_PREFIX}/bin/clang ${BUILD_PREFIX}/bin/${CONDA_TOOLCHAIN_HOST}-clang
+    fi
+    EXTRA_CMAKE_ARGS="${EXTRA_CMAKE_ARGS} -DCLANG_EXECUTABLE=${BUILD_PREFIX}/bin/${CONDA_TOOLCHAIN_HOST}-clang"
+    EXTRA_CMAKE_ARGS="${EXTRA_CMAKE_ARGS} -DLLVM_LINK_EXECUTABLE=${BUILD_PREFIX}/bin/llvm-link"
     sed -ie "s;protoc-gen-grpc.*$;protoc-gen-grpc=${BUILD_PREFIX}/bin/grpc_cpp_plugin\";g" ../src/arrow/flight/CMakeLists.txt
-    sed -ie 's;"--with-jemalloc-prefix\=je_arrow_";"--with-jemalloc-prefix\=je_arrow_" "--with-lg-page\=14";g' ../cmake_modules/ThirdpartyToolchain.cmake
+    sed -ie 's;"--with-jemalloc-prefix\=je_arrow_";"--with-jemalloc-prefix\=je_arrow_" "--with-lg-page\=16";g' ../cmake_modules/ThirdpartyToolchain.cmake
 fi
 
 # disable -fno-plt, which causes problems with GCC on PPC
@@ -59,23 +53,19 @@ if [[ "$target_platform" == "linux-ppc64le" ]]; then
   CXXFLAGS="$(echo $CXXFLAGS | sed 's/-fno-plt //g')"
 fi
 
-# Limit number of threads used to avoid hardware oversubscription
 if [[ "${target_platform}" == "linux-aarch64" ]] || [[ "${target_platform}" == "linux-ppc64le" ]]; then
-     export CMAKE_BUILD_PARALLEL_LEVEL=3
-fi
-
-# point to a usable protoc if we're running on a different architecture than the target
-if [[ "${build_platform}" != "${target_platform}" ]]; then
-    EXTRA_CMAKE_ARGS="${EXTRA_CMAKE_ARGS} -DProtobuf_PROTOC_EXECUTABLE=$BUILD_PREFIX/bin/protoc"
+    # Limit number of threads used to avoid hardware oversubscription
+    export CMAKE_BUILD_PARALLEL_LEVEL=3
 fi
 
 # reusable variable for dependencies we cannot yet unvendor
 export READ_RECIPE_META_YAML_WHY_NOT=OFF
 
 # for available switches see
-# https://github.com/apache/arrow/blame/apache-arrow-11.0.0/cpp/cmake_modules/DefineOptions.cmake
-# placeholder in ARROW_GDB_INSTALL_DIR must match what's used for replacement in activate.sh
+# https://github.com/apache/arrow/blame/apache-arrow-12.0.0/cpp/cmake_modules/DefineOptions.cmake
+# placeholder in ARROW_GDB_INSTALL_DIR must match _la_placeholder in activate.sh
 cmake -GNinja \
+    -DARROW_ACERO=ON \
     -DARROW_BOOST_USE_SHARED=ON \
     -DARROW_BUILD_BENCHMARKS=OFF \
     -DARROW_BUILD_STATIC=OFF \
@@ -129,3 +119,6 @@ cmake -GNinja \
 cmake --build . --target install --config Release
 
 popd
+
+# clean up between builds (and to save space)
+rm -rf cpp/build
diff --git a/dev/tasks/conda-recipes/arrow-cpp/bld-pyarrow.bat b/dev/tasks/conda-recipes/arrow-cpp/build-pyarrow.bat
similarity index 54%
rename from dev/tasks/conda-recipes/arrow-cpp/bld-pyarrow.bat
rename to dev/tasks/conda-recipes/arrow-cpp/build-pyarrow.bat
index 084faf74e4a..e3eaa32bcf8 100644
--- a/dev/tasks/conda-recipes/arrow-cpp/bld-pyarrow.bat
+++ b/dev/tasks/conda-recipes/arrow-cpp/build-pyarrow.bat
@@ -2,22 +2,10 @@
 
 pushd "%SRC_DIR%"\python
 
-@rem the symlinks for cmake modules don't work here
-@rem NOTE: In contrast to conda-forge, they work here as we clone from git.
-@rem del cmake_modules\BuildUtils.cmake
-@rem del cmake_modules\SetupCxxFlags.cmake
-@rem del cmake_modules\CompilerInfo.cmake
-@rem del cmake_modules\FindNumPy.cmake
-@rem del cmake_modules\FindPythonLibsNew.cmake
-@rem copy /Y "%SRC_DIR%\cpp\cmake_modules\BuildUtils.cmake" cmake_modules\
-@rem copy /Y "%SRC_DIR%\cpp\cmake_modules\SetupCxxFlags.cmake" cmake_modules\
-@rem copy /Y "%SRC_DIR%\cpp\cmake_modules\CompilerInfo.cmake" cmake_modules\
-@rem copy /Y "%SRC_DIR%\cpp\cmake_modules\FindNumPy.cmake" cmake_modules\
-@rem copy /Y "%SRC_DIR%\cpp\cmake_modules\FindPythonLibsNew.cmake" cmake_modules\
-
 SET ARROW_HOME=%LIBRARY_PREFIX%
 SET SETUPTOOLS_SCM_PRETEND_VERSION=%PKG_VERSION%
 SET PYARROW_BUILD_TYPE=release
+SET PYARROW_WITH_ACERO=1
 SET PYARROW_WITH_DATASET=1
 SET PYARROW_WITH_FLIGHT=1
 SET PYARROW_WITH_GANDIVA=1
diff --git a/dev/tasks/conda-recipes/arrow-cpp/build-pyarrow.sh b/dev/tasks/conda-recipes/arrow-cpp/build-pyarrow.sh
index 14c67ede632..9c12321a1c1 100755
--- a/dev/tasks/conda-recipes/arrow-cpp/build-pyarrow.sh
+++ b/dev/tasks/conda-recipes/arrow-cpp/build-pyarrow.sh
@@ -6,6 +6,7 @@ export ARROW_HOME=$PREFIX
 export PARQUET_HOME=$PREFIX
 export SETUPTOOLS_SCM_PRETEND_VERSION=$PKG_VERSION
 export PYARROW_BUILD_TYPE=release
+export PYARROW_WITH_ACERO=1
 export PYARROW_WITH_DATASET=1
 export PYARROW_WITH_FLIGHT=1
 export PYARROW_WITH_GANDIVA=1
@@ -37,9 +38,9 @@ if [[ "${target_platform}" == osx-* ]]; then
     CXXFLAGS="${CXXFLAGS} -D_LIBCPP_DISABLE_AVAILABILITY"
 fi
 
-# Limit number of threads used to avoid hardware oversubscription
 if [[ "${target_platform}" == "linux-aarch64" ]] || [[ "${target_platform}" == "linux-ppc64le" ]]; then
-     export CMAKE_BUILD_PARALLEL_LEVEL=4
+    # Limit number of threads used to avoid hardware oversubscription
+    export CMAKE_BUILD_PARALLEL_LEVEL=4
 fi
 
 cd python
diff --git a/dev/tasks/conda-recipes/arrow-cpp/meta.yaml b/dev/tasks/conda-recipes/arrow-cpp/meta.yaml
index 2f79bbe958c..e61034c3075 100644
--- a/dev/tasks/conda-recipes/arrow-cpp/meta.yaml
+++ b/dev/tasks/conda-recipes/arrow-cpp/meta.yaml
@@ -4,7 +4,7 @@
 {% set build_ext_version = ARROW_VERSION %}
 {% set build_ext = "cuda" if cuda_enabled else "cpu" %}
 {% set proc_build_number = "0" %}
-{% set llvm_version = "14" %}
+{% set llvm_version = "15" %}
 
 # see https://github.com/apache/arrow/blob/apache-arrow-10.0.1/cpp/CMakeLists.txt#L88-L90
 {% set so_version = (version.split(".")[0] | int * 100 + version.split(".")[1] | int) ~ "." ~ version.split(".")[2] ~ ".0" %}
@@ -21,11 +21,9 @@ build:
   # for cuda support, building with one version is enough to be compatible with
   # all later versions, since arrow is only using libcuda, and not libcudart.
   skip: true  # [cuda_compiler_version not in ("None", cuda_compiler_version_min)]
-  # temporary: skip CUDA on aarch/ppc until cross-compilation works, see
-  # https://github.com/conda-forge/conda-forge-ci-setup-feedstock/pull/210
-  skip: true  # [(aarch64 or ppc64le) and (cuda_compiler_version != "None")]
+  # arrow promises API- & ABI-compatibility along SemVer, see #1096
   run_exports:
-    - {{ pin_subpackage("libarrow", max_pin="x.x.x") }}
+    - {{ pin_subpackage("libarrow", max_pin="x") }}
 
 outputs:
   - name: apache-arrow-proc
@@ -57,30 +55,38 @@ outputs:
         - exit 0
 
   - name: libarrow
-    script: build-arrow.sh  # [not win]
-    script: bld-arrow.bat   # [win]
+    script: build-arrow.sh   # [unix]
+    script: build-arrow.bat  # [win]
     version: {{ version }}
     build:
       string: h{{ PKG_HASH }}_{{ PKG_BUILDNUM }}_{{ build_ext }}
       run_exports:
         - {{ pin_subpackage("libarrow", max_pin="x.x.x") }}
+      ignore_run_exports_from:
+        - {{ compiler("cuda") }}                 # [cuda_compiler_version != "None"]
+        # arrow only uses headers, apparently
+        - gflags
+        # shared lib linked on unix, not on win
+        - glog                                   # [win]
       ignore_run_exports:
-        - cudatoolkit
+        # we don't need all of brotli's run-exports
+        - libbrotlicommon
       track_features: {{ "[arrow-cuda]" if cuda_enabled else "" }}
       missing_dso_whitelist:
-        - "*/libcuda.so.*"    # [linux]
-        - "*/nvcuda.dll"      # [win]
+        - '*/libcuda.so.*'    # [linux]
+        - '*/nvcuda.dll'      # [win]
     requirements:
       build:
         - {{ compiler("c") }}
         - {{ compiler("cxx") }}
         - {{ compiler("cuda") }}                 # [cuda_compiler_version != "None"]
-        - clangdev {{ llvm_version }}            # [osx and arm64]
-        - llvmdev {{ llvm_version }}             # [osx and arm64]
-        - gnuconfig                              # [osx and arm64]
         # needs to run protoc & grpc_cpp_plugin
         - libgrpc                                # [build_platform != target_platform]
         - libprotobuf                            # [build_platform != target_platform]
+        # needed for gandiva
+        - clangdev {{ llvm_version }}            # [build_platform != target_platform]
+        - llvmdev {{ llvm_version }}             # [build_platform != target_platform]
+        - gnuconfig                              # [build_platform != target_platform]
         - cmake
         - ninja
         # necessary for vendored jemalloc
@@ -91,12 +97,11 @@ outputs:
         # https://github.com/apache/arrow/blob/apache-arrow-11.0.0/cpp/cmake_modules/ThirdpartyToolchain.cmake#L46-L75
         - clangdev {{ llvm_version }}
         - llvmdev {{ llvm_version }}
-        - aws-crt-cpp  # [unix]
+        - aws-crt-cpp
         - aws-sdk-cpp
         - boost-cpp >=1.70
         - brotli
         - bzip2
-        - c-ares
         # not yet: https://github.com/conda-forge/cpp-opentelemetry-sdk-feedstock/issues/38
         # - cpp-opentelemetry-sdk
         # - proto-opentelemetry-proto =={{ cpp_opentelemetry_sdk }}
@@ -106,11 +111,6 @@ outputs:
         # arrow uses a customized jemalloc, see #944
         # - jemalloc
         - libabseil
-        # since libgoogle-cloud is static on windows, see
-        # https://github.com/conda-forge/google-cloud-cpp-feedstock/pull/108,
-        # its dependencies leak into the build here
-        - libcrc32c  # [win]
-        - libcurl    # [win]
         - libgrpc
         - libprotobuf
         - libutf8proc
@@ -127,17 +127,26 @@ outputs:
         - xsimd
         - zlib
         - zstd
+        - __cuda >={{ cuda_compiler_version_min }}  # [cuda_compiler_version != "None"]
+        # since libgoogle-cloud is static on windows, see
+        # https://github.com/conda-forge/google-cloud-cpp-feedstock/pull/108,
+        # its host deps (which aren't yet covered above) leak into the build here
+        - libcrc32c  # [win]
+        - libcurl    # [win]
+        # same for libgrpc (before 1.55.0, which is coupled with libprotobuf 4.23.x)
+        - c-ares     # [win and libprotobuf == "3.21"]
       run_constrained:
         - apache-arrow-proc =*={{ build_ext }}
-        - cudatoolkit >={{ cuda_compiler_version_min }}  # [cuda_compiler_version != "None"]
         # make sure we don't co-install with old version of old package name
         - arrow-cpp ={{ version }}
+        # old parquet lib output, now part of this feedstock
+        - parquet-cpp <0.0a0
 
     test:
       commands:
         {% set headers = [
-            "arrow/api.h", "arrow/flight/types.h", "arrow/flight/sql/api.h",
-            "gandiva/engine.h", "parquet/api/reader.h"
+            "arrow/api.h", "arrow/acero/api.h", "arrow/flight/types.h",
+            "arrow/flight/sql/api.h", "gandiva/engine.h", "parquet/api/reader.h"
         ] %}
         {% for each_header in headers %}
         # headers
@@ -146,8 +155,8 @@ outputs:
         {% endfor %}
 
         {% set libs = (cuda_compiler_version != "None") * ["arrow_cuda"] + [
-            "arrow", "arrow_dataset", "arrow_flight", "arrow_flight_sql",
-            "arrow_substrait", "gandiva", "parquet"
+            "arrow", "arrow_acero", "arrow_dataset", "arrow_flight",
+            "arrow_flight_sql", "arrow_substrait", "gandiva", "parquet"
         ] %}
         {% for each_lib in libs %}
         # shared
@@ -189,6 +198,8 @@ outputs:
     requirements:
       host:
         - {{ pin_subpackage('libarrow', exact=True) }}
+        # avoid wrappers for different builds colliding due to identical hashes
+        - libprotobuf
       run:
         - {{ pin_subpackage('libarrow', exact=True) }}
     test:
@@ -196,21 +207,21 @@ outputs:
         - exit 0
 
   - name: pyarrow
-    script: build-pyarrow.sh  # [not win]
-    script: bld-pyarrow.bat   # [win]
+    script: build-pyarrow.sh   # [unix]
+    script: build-pyarrow.bat  # [win]
     version: {{ version }}
     build:
       string: py{{ CONDA_PY }}h{{ PKG_HASH }}_{{ PKG_BUILDNUM }}_{{ build_ext }}
-      ignore_run_exports:
-        - cudatoolkit
+      ignore_run_exports_from:
+        - {{ compiler("cuda") }}                 # [cuda_compiler_version != "None"]
       track_features: {{ "[arrow-cuda]" if cuda_enabled else "" }}
       rpaths:
         - lib/
         - {{ SP_DIR }}/pyarrow
       missing_dso_whitelist:
         # not actually missing, but installed into SP_DIR, see tests
-        - "*/arrow_python.dll"                # [win]
-        - "*/arrow_python_flight.dll"         # [win]
+        - '*/arrow_python.dll'                # [win]
+        - '*/arrow_python_flight.dll'         # [win]
     requirements:
       build:
         - {{ compiler("c") }}
@@ -219,29 +230,28 @@ outputs:
         - {{ compiler("cuda") }}                 # [cuda_compiler_version != "None"]
         - python                                 # [build_platform != target_platform]
         - cross-python_{{ target_platform }}     # [build_platform != target_platform]
-        - cython                                 # [build_platform != target_platform]
+        - cython <3                              # [build_platform != target_platform]
         - numpy                                  # [build_platform != target_platform]
         - cmake
         - ninja
       host:
-        - {{ pin_subpackage('libarrow', exact=True) }}
+        # we're building for two protobuf versions, cannot pin exactly
+        # - {{ pin_subpackage('libarrow', exact=True) }}
+        - libarrow ={{ version }}=*_{{ PKG_BUILDNUM }}_{{ build_ext }}
         - clangdev {{ llvm_version }}
         - llvmdev {{ llvm_version }}
-        - cython
-        - gflags  # [unix]
+        - cython <3
         - numpy
         - python
         - setuptools
         - setuptools_scm
       run:
-        - {{ pin_subpackage('libarrow', exact=True) }}
+        # - {{ pin_subpackage('libarrow', exact=True) }}
+        - libarrow ={{ version }}=*_{{ PKG_BUILDNUM }}_{{ build_ext }}
         - {{ pin_compatible('numpy') }}
-        # empty parquet-cpp metapackage, force old versions to be uninstalled
-        - parquet-cpp 1.5.1.*
         - python
       run_constrained:
         - apache-arrow-proc =*={{ build_ext }}
-        - cudatoolkit >={{ cuda_compiler_version_min }}  # [cuda_compiler_version != "None"]
 
     test:
       files:
@@ -288,13 +298,13 @@ outputs:
       summary: Python libraries for Apache Arrow
 
   - name: pyarrow-tests
-    script: build-pyarrow.sh  # [not win]
-    script: bld-pyarrow.bat   # [win]
+    script: build-pyarrow.sh   # [unix]
+    script: build-pyarrow.bat  # [win]
     version: {{ version }}
     build:
       string: py{{ CONDA_PY }}h{{ PKG_HASH }}_{{ PKG_BUILDNUM }}_{{ build_ext }}
-      ignore_run_exports:
-        - cudatoolkit
+      ignore_run_exports_from:
+        - {{ compiler("cuda") }}                 # [cuda_compiler_version != "None"]
       track_features: {{ "[arrow-cuda]" if cuda_enabled else "" }}
     requirements:
       build:
@@ -304,7 +314,7 @@ outputs:
         - {{ compiler("cuda") }}                 # [cuda_compiler_version != "None"]
         - python                                 # [build_platform != target_platform]
         - cross-python_{{ target_platform }}     # [build_platform != target_platform]
-        - cython                                 # [build_platform != target_platform]
+        - cython <3                              # [build_platform != target_platform]
         - numpy                                  # [build_platform != target_platform]
         - cmake
         - ninja
@@ -313,7 +323,7 @@ outputs:
         - {{ pin_subpackage('pyarrow', exact=True) }}
         - clangdev {{ llvm_version }}
         - llvmdev {{ llvm_version }}
-        - cython
+        - cython <3
         - numpy
         - python
         - setuptools
@@ -323,27 +333,36 @@ outputs:
         - python
       run_constrained:
         - apache-arrow-proc =*={{ build_ext }}
-        - cudatoolkit >={{ cuda_compiler_version_min }}  # [cuda_compiler_version != "None"]
 
+    # crossbow CI: reduce to one python version, except on (unemulated) linux, where it's fast enough
+    {% if linux64 or py == 311 %}
+    # {% if not (aarch64 or ppc64le) or py in (310, 311) %}
+    # only run the full test suite for one python version when in emulation (each run takes ~45min);
+    # there's essentially zero divergence in behaviour across python versions anyway, and otherwise
+    # CUDA builds for aarch/ppc consistently run out of disk space on azure for some reason
     test:
       requires:
+        # vary protobuf version in test suite (historically, test failures only have a very
+        # weak dependency on python version, so we don't lose coverage by doing half & half)
+        - libprotobuf <4         # [py % 2 == 0]
         # test_cpp_extension_in_python requires a compiler
         - {{ compiler("cxx") }}  # [linux]
-        - pytest
+        # temporary pin due to missing fixture
+        - pytest <7.4.0
         - pytest-lazy-fixture
         - backports.zoneinfo     # [py<39]
         - cffi
         - cloudpickle
-        - cython
+        - cython <3
         - fastparquet
         - fsspec
         - hypothesis
         - pandas
         - scipy
-        # not all OSes/arches available in conda-forge
-        - pytorch *           # [unix and not ppc64le]
-        # not yet rebuilt for libabseil 20230125
-        # - tensorflow          # [unix and x86_64 and py<311]
+        # these are generally (far) behind on migrating abseil/grpc/protobuf,
+        # and using them as test dependencies blocks the migrator unnecessarily
+        # - pytorch
+        # - tensorflow
         # we're not building java bindings
         # - jpype1
         # doesn't get picked up correctly
@@ -364,6 +383,8 @@ outputs:
         # skip tests that raise SIGINT and crash the test suite
         {% set tests_to_skip = tests_to_skip + " or (test_csv and test_cancellation)" %}  # [linux]
         {% set tests_to_skip = tests_to_skip + " or (test_flight and test_interrupt)" %}  # [linux]
+        # tests that may crash the agent due to out-of-bound memory writes or other risky stuff
+        {% set tests_to_skip = tests_to_skip + " or test_debug_memory_pool" %}            # [aarch64 or ppc64le]
         # cannot pass -D_LIBCPP_DISABLE_AVAILABILITY to test suite for our older macos sdk
         {% set tests_to_skip = tests_to_skip + " or test_cpp_extension_in_python" %}      # [osx]
         # skip tests that make invalid(-for-conda) assumptions about the compilers setup
@@ -373,6 +394,7 @@ outputs:
         {% set tests_to_skip = tests_to_skip + " or test_debug_memory_pool_disabled" %}   # [aarch64 or ppc64le]
         {% set tests_to_skip = tests_to_skip + " or test_env_var_io_thread_count" %}      # [aarch64 or ppc64le]
         # vvvvvvv TESTS THAT SHOULDN'T HAVE TO BE SKIPPED vvvvvvv
+        {% set tests_to_skip = tests_to_skip + " or test_extension_to_pandas_storage_type" %}
         # segfaults on OSX: to investigate ASAP
         {% set tests_to_skip = tests_to_skip + " or test_flight" %}                       # [osx]
         # gandiva tests are segfaulting on ppc
@@ -385,10 +407,12 @@ outputs:
         {% set tests_to_skip = tests_to_skip + " or (test_memory and test_env_var)" %}    # [unix]
         # test is broken; header is in $PREFIX, not $SP_DIR
         {% set tests_to_skip = tests_to_skip + " or (test_misc and test_get_include)" %}  # [unix]
+        # flaky tests that fail occasionally
+        {% set tests_to_skip = tests_to_skip + " or test_total_bytes_allocated " %}       # [linux]
+        {% set tests_to_skip = tests_to_skip + " or test_feather_format " %}              # [linux]
         # ^^^^^^^ TESTS THAT SHOULDN'T HAVE TO BE SKIPPED ^^^^^^^
-
-        # crossbow CI: reduce to one python version, except on (unemulated) linux, where it's fast enough
-        - pytest -v -rfEs -k "not ({{ tests_to_skip }})"  # [linux64 or (py==310 and build_platform==target_platform)]
+        - pytest -rfEs -k "not ({{ tests_to_skip }})"
+    {% endif %}
 
     about:
       home: http://github.com/apache/arrow
diff --git a/dev/tasks/conda-recipes/azure.linux.yml b/dev/tasks/conda-recipes/azure.linux.yml
index b9a54647cc5..279ffb48ccd 100755
--- a/dev/tasks/conda-recipes/azure.linux.yml
+++ b/dev/tasks/conda-recipes/azure.linux.yml
@@ -13,6 +13,29 @@ jobs:
     UPLOAD_PACKAGES: False
 
   steps:
+  - script: |
+         sudo mkdir -p /opt/empty_dir || true
+         for d in \
+                  /opt/ghc \
+                  /opt/hostedtoolcache \
+                  /usr/lib/jvm \
+                  /usr/local/.ghcup \
+                  /usr/local/lib/android \
+                  /usr/local/share/powershell \
+                  /usr/share/dotnet \
+                  /usr/share/swift \
+                  ; do
+           sudo rsync --stats -a --delete /opt/empty_dir/ $d || true
+         done
+         sudo apt-get purge -y -f firefox \
+                                  google-chrome-stable \
+                                  microsoft-edge-stable
+         sudo apt-get autoremove -y >& /dev/null
+         sudo apt-get autoclean -y >& /dev/null
+         sudo docker image prune --all --force
+         df -h
+    displayName: Manage disk space
+
   # configure qemu binfmt-misc running.  This allows us to run docker containers
   # embedded qemu-static
   - script: |
diff --git a/dev/tasks/conda-recipes/r-arrow/configure.win b/dev/tasks/conda-recipes/r-arrow/configure.win
index fb16a810b8f..0fc96576bde 100755
--- a/dev/tasks/conda-recipes/r-arrow/configure.win
+++ b/dev/tasks/conda-recipes/r-arrow/configure.win
@@ -2,7 +2,7 @@
 
 set -euxo pipefail
 
-echo "PKG_CPPFLAGS=-DNDEBUG -I\"${LIBRARY_PREFIX}/include\" -I\"${PREFIX}/include\" -DARROW_R_WITH_PARQUET -DARROW_R_WITH_DATASET -DARROW_R_WITH_S3 -DARROW_R_WITH_JSON" > src/Makevars.win
+echo "PKG_CPPFLAGS=-DNDEBUG -I\"${LIBRARY_PREFIX}/include\" -I\"${PREFIX}/include\" -DARROW_R_WITH_ACERO -DARROW_R_WITH_PARQUET -DARROW_R_WITH_DATASET -DARROW_R_WITH_S3 -DARROW_R_WITH_JSON" > src/Makevars.win
 echo "PKG_CXXFLAGS=\$(CXX_VISIBILITY)" >> src/Makevars.win
 echo 'CXX_STD=CXX17' >> src/Makevars.win
-echo "PKG_LIBS=-L\"${LIBRARY_PREFIX}/lib\" -larrow_dataset -lparquet -larrow" >> src/Makevars.win
+echo "PKG_LIBS=-L\"${LIBRARY_PREFIX}/lib\" -larrow_dataset -larrow_acero -lparquet -larrow" >> src/Makevars.win
diff --git a/dev/tasks/conda-recipes/r-arrow/meta.yaml b/dev/tasks/conda-recipes/r-arrow/meta.yaml
index 28ee8eb92c9..e8b834254f4 100644
--- a/dev/tasks/conda-recipes/r-arrow/meta.yaml
+++ b/dev/tasks/conda-recipes/r-arrow/meta.yaml
@@ -10,8 +10,6 @@ source:
   path: ../../../../
 
 build:
-  # 4.1 not usable anymore unless https://github.com/conda-forge/r-base-feedstock/pull/236 gets merged
-  skip: true  # [unix and (r_base == "4.1")]
   merge_build_host: true  # [win]
   number: 0
   rpaths:
diff --git a/dev/tasks/tasks.yml b/dev/tasks/tasks.yml
index 879c2246b41..284946a8cd4 100644
--- a/dev/tasks/tasks.yml
+++ b/dev/tasks/tasks.yml
@@ -246,6 +246,16 @@ tasks:
   #   generated and to be synced regularly from the feedstock. We have no way
   #   yet to generate them inside the arrow repository automatically.
 
+  conda-linux-x64-cpu-r41:
+    ci: azure
+    template: conda-recipes/azure.linux.yml
+    params:
+      config: linux_64_cuda_compiler_versionNone
+      r_config: linux_64_r_base4.1
+    artifacts:
+      - libarrow-{no_rc_version}-(h[a-z0-9]+)_0_cpu.conda
+      - r-arrow-{no_rc_version}-r41(h[a-z0-9]+)_0.conda
+
   conda-linux-x64-cpu-r42:
     ci: azure
     template: conda-recipes/azure.linux.yml
@@ -272,7 +282,7 @@ tasks:
     ci: azure
     template: conda-recipes/azure.linux.yml
     params:
-      config: linux_64_cuda_compiler_version10.2
+      config: linux_64_cuda_compiler_version11.2
     artifacts:
       - libarrow-{no_rc_version}-(h[a-z0-9]+)_0_cuda.conda
       - pyarrow-{no_rc_version}-py38(h[a-z0-9]+)_0_cuda.conda
@@ -282,6 +292,16 @@ tasks:
 
   ########################### Conda Linux (aarch64) ###########################
 
+  conda-linux-aarch64-cpu-r41:
+    ci: azure
+    template: conda-recipes/azure.linux.yml
+    params:
+      config: linux_aarch64_cuda_compiler_versionNone
+      r_config: linux_aarch64_r_base4.1
+    artifacts:
+      - libarrow-{no_rc_version}-(h[a-z0-9]+)_0_cpu.conda
+      - r-arrow-{no_rc_version}-r41(h[a-z0-9]+)_0.conda
+
   conda-linux-aarch64-cpu-r42:
     ci: azure
     template: conda-recipes/azure.linux.yml
@@ -304,6 +324,18 @@ tasks:
       - pyarrow-{no_rc_version}-py310(h[a-z0-9]+)_0_cpu.conda
       - pyarrow-{no_rc_version}-py311(h[a-z0-9]+)_0_cpu.conda
 
+  conda-linux-aarch64-cuda-py3:
+    ci: azure
+    template: conda-recipes/azure.linux.yml
+    params:
+      config: linux_aarch64_cuda_compiler_version11.2
+    artifacts:
+      - libarrow-{no_rc_version}-(h[a-z0-9]+)_0_cuda.conda
+      - pyarrow-{no_rc_version}-py38(h[a-z0-9]+)_0_cuda.conda
+      - pyarrow-{no_rc_version}-py39(h[a-z0-9]+)_0_cuda.conda
+      - pyarrow-{no_rc_version}-py310(h[a-z0-9]+)_0_cuda.conda
+      - pyarrow-{no_rc_version}-py311(h[a-z0-9]+)_0_cuda.conda
+
   ########################### Conda Linux (ppc64le) ###########################
 
   conda-linux-ppc64le-cpu-py3:
@@ -318,8 +350,30 @@ tasks:
       - pyarrow-{no_rc_version}-py310(h[a-z0-9]+)_0_cpu.conda
       - pyarrow-{no_rc_version}-py311(h[a-z0-9]+)_0_cpu.conda
 
+  conda-linux-ppc64le-cuda-py3:
+    ci: azure
+    template: conda-recipes/azure.linux.yml
+    params:
+      config: linux_ppc64le_cuda_compiler_version11.2
+    artifacts:
+      - libarrow-{no_rc_version}-(h[a-z0-9]+)_0_cuda.conda
+      - pyarrow-{no_rc_version}-py38(h[a-z0-9]+)_0_cuda.conda
+      - pyarrow-{no_rc_version}-py39(h[a-z0-9]+)_0_cuda.conda
+      - pyarrow-{no_rc_version}-py310(h[a-z0-9]+)_0_cuda.conda
+      - pyarrow-{no_rc_version}-py311(h[a-z0-9]+)_0_cuda.conda
+
   ############################## Conda OSX (x64) ##############################
 
+  conda-osx-x64-cpu-r41:
+    ci: azure
+    template: conda-recipes/azure.osx.yml
+    params:
+      config: osx_64_
+      r_config: osx_64_r_base4.1
+    artifacts:
+      - libarrow-{no_rc_version}-(h[a-z0-9]+)_0_cpu.conda
+      - r-arrow-{no_rc_version}-r41(h[a-z0-9]+)_0.conda
+
   conda-osx-x64-cpu-r42:
     ci: azure
     template: conda-recipes/azure.osx.yml
@@ -344,6 +398,16 @@ tasks:
 
   ############################# Conda OSX (arm64) #############################
 
+  conda-osx-arm64-cpu-r41:
+    ci: azure
+    template: conda-recipes/azure.osx.yml
+    params:
+      config: osx_arm64_
+      r_config: osx_arm64_r_base4.1
+    artifacts:
+      - libarrow-{no_rc_version}-(h[a-z0-9]+)_0_cpu.conda
+      - r-arrow-{no_rc_version}-r41(h[a-z0-9]+)_0.conda
+
   conda-osx-arm64-cpu-r42:
     ci: azure
     template: conda-recipes/azure.osx.yml
@@ -396,7 +460,7 @@ tasks:
     ci: azure
     template: conda-recipes/azure.win.yml
     params:
-      config: win_64_cuda_compiler_versionNone
+      config: win_64_cuda_compiler_version11.2
     artifacts:
       - libarrow-{no_rc_version}-(h[a-z0-9]+)_0_cuda.conda
       - pyarrow-{no_rc_version}-py38(h[a-z0-9]+)_0_cuda.conda