diff --git a/tools/pot/openvino/tools/pot/algorithms/quantization/optimization/algorithm.py b/tools/pot/openvino/tools/pot/algorithms/quantization/optimization/algorithm.py
index 2ceed76b035..3f9fb1ef808 100644
--- a/tools/pot/openvino/tools/pot/algorithms/quantization/optimization/algorithm.py
+++ b/tools/pot/openvino/tools/pot/algorithms/quantization/optimization/algorithm.py
@@ -9,7 +9,6 @@ from functools import partial
 from pathlib import Path
 
 import numpy as np
-import pandas as pd
 import scipy.optimize
 
 from ..qnoise_estimator.algorithm import QuantNoiseEstimator
@@ -166,7 +165,7 @@ class OptimizationAlgorithm(Algorithm):
             Path('/'.join(self._result_filename.split('/')[:-1])).mkdir(
                 parents=True, exist_ok=True
             )
-            pd.DataFrame(self._results).to_csv(self._result_filename)
+            np.savetxt(self._result_filename, self._results, delimiter=",", fmt='%s')
         if self._dump_model_prefix:
             dump_path = self._dump_model_prefix + '{:05}'.format(
                 self._optimization_iter
diff --git a/tools/pot/openvino/tools/pot/algorithms/quantization/qnoise_estimator/algorithm.py b/tools/pot/openvino/tools/pot/algorithms/quantization/qnoise_estimator/algorithm.py
index 2e0b52d0c73..1392844c233 100644
--- a/tools/pot/openvino/tools/pot/algorithms/quantization/qnoise_estimator/algorithm.py
+++ b/tools/pot/openvino/tools/pot/algorithms/quantization/qnoise_estimator/algorithm.py
@@ -4,7 +4,6 @@
 from copy import deepcopy
 
 import numpy as np
-import pandas as pd
 from openvino.tools.mo.graph.graph import rename_node
 
 from .utils import get_composite_model
@@ -98,7 +97,7 @@ class QuantNoiseEstimator(Algorithm):
             'layer_name': list(stat_calculation_layers.values()),
         }
         if 'results_dump_filename' in self._config:
-            pd.DataFrame(noise_data).to_csv(self._config['results_dump_filename'])
+            np.savetxt(self._config['results_dump_filename'], noise_data, delimiter=",", fmt='%s')
         return noise_data
 
     def layerwise_fq_noise(self, model):
@@ -175,7 +174,7 @@ class QuantNoiseEstimator(Algorithm):
 
         noise_data = {'noise_metric': qnoise_values, 'layer_name': node_names}
         if 'results_dump_filename' in self._config:
-            pd.DataFrame(noise_data).to_csv(self._config['results_dump_filename'])
+            np.savetxt(self._config['results_dump_filename'], noise_data, delimiter=",", fmt='%s')
         return noise_data
 
     def get_nonquantized_model(self, model):
diff --git a/tools/pot/setup.py b/tools/pot/setup.py
index bbee577ec06..ea91d3901b6 100644
--- a/tools/pot/setup.py
+++ b/tools/pot/setup.py
@@ -65,15 +65,14 @@ if '--install-dev-extras' in sys.argv:
     sys.argv.remove('--install-dev-extras')
 
 INSTALL_REQUIRES = [
+    "numpy>=1.16.6",
     "scipy~=1.7; python_version == '3.7'",
     "scipy>=1.8; python_version >= '3.8'",
     "jstyleson>=0.0.2",
-    "numpy>=1.16.6",
     "addict>=2.4.0",
     "networkx<=2.8.8",
     "tqdm>=4.54.1",
     "texttable>=1.6.3",
-    "pandas~=1.3.5",
     "openvino-telemetry>=2022.1.0"
 ]