diff --git a/src/common/transformations/include/transformations/common_optimizations/transpose_sinking.hpp b/src/common/transformations/include/transformations/common_optimizations/transpose_sinking.hpp
index 853d9434a4d5dc..2bfbec7caf9cee 100644
--- a/src/common/transformations/include/transformations/common_optimizations/transpose_sinking.hpp
+++ b/src/common/transformations/include/transformations/common_optimizations/transpose_sinking.hpp
@@ -14,6 +14,7 @@ namespace ov {
 namespace pass {
 
 class TRANSFORMATIONS_API TransposeSinking;
+class TRANSFORMATIONS_API TransposeFQ;
 class TRANSFORMATIONS_API TransposeConvert;
 class TRANSFORMATIONS_API TransposeEltwise;
 class TRANSFORMATIONS_API TransposeReduction;
@@ -23,6 +24,16 @@ class TRANSFORMATIONS_API TransposeFuse;
 }  // namespace pass
 }  // namespace ov
 
+/**
+ * @ingroup ov_transformation_common_api
+ * @brief TransposeFQ transformation sinks Transpose through FakeQuantize
+ */
+class ov::pass::TransposeFQ : public ov::pass::MatcherPass {
+public:
+    OPENVINO_MATCHER_PASS_RTTI("TransposeFQ");
+    TransposeFQ();
+};
+
 /**
  * @ingroup ov_transformation_common_api
  * @brief TransposeReduction transformation sinks Transpose through Reduce operations
@@ -83,6 +94,7 @@ class ov::pass::TransposeSinking : public ov::pass::GraphRewrite {
 public:
     OPENVINO_GRAPH_REWRITE_RTTI("TransposeSinking");
     TransposeSinking() {
+        add_matcher<ov::pass::TransposeFQ>();
         add_matcher<ov::pass::TransposeFQReduction>();
         add_matcher<ov::pass::TransposeReduction>();
         add_matcher<ov::pass::TransposeConvert>();
diff --git a/src/common/transformations/src/transformations/common_optimizations/transpose_sinking.cpp b/src/common/transformations/src/transformations/common_optimizations/transpose_sinking.cpp
index a883ba1275922d..60a667a72ac307 100644
--- a/src/common/transformations/src/transformations/common_optimizations/transpose_sinking.cpp
+++ b/src/common/transformations/src/transformations/common_optimizations/transpose_sinking.cpp
@@ -78,6 +78,77 @@ std::shared_ptr<v0::Constant> get_reversed_order_constant(const std::shared_ptr<
 
 }  // namespace
 
+ov::pass::TransposeFQ::TransposeFQ() {
+    MATCHER_SCOPE(TransposeFQ);
+
+    auto transpose_order_m = wrap_type<v0::Constant>();
+    auto transpose_label = wrap_type<v1::Transpose>({any_input(pattern::has_static_rank()), transpose_order_m});
+    auto fq_label = wrap_type<v0::FakeQuantize>({transpose_label,
+                                                 any_input(ov::pass::pattern::has_static_rank()),
+                                                 any_input(ov::pass::pattern::has_static_rank()),
+                                                 any_input(ov::pass::pattern::has_static_rank()),
+                                                 any_input(ov::pass::pattern::has_static_rank())},
+                                                consumers_count(1));
+
+    matcher_pass_callback matcher_pass_callback = [OV_CAPTURE_CPY_AND_THIS](Matcher& m) {
+        auto& pattern_to_output = m.get_pattern_value_map();
+
+        auto transpose = pattern_to_output.at(transpose_label).get_node_shared_ptr();
+        auto fq = pattern_to_output.at(fq_label).get_node_shared_ptr();
+        auto transpose_order =
+            ov::as_type_ptr<v0::Constant>(pattern_to_output.at(transpose_order_m).get_node_shared_ptr());
+        if (!transpose_order || !fq)
+            return false;
+
+        ov::NodeVector new_ops;
+
+        const auto& reverse_order_constant = get_reversed_order_constant(transpose_order);
+        new_ops.push_back(reverse_order_constant);
+
+        const auto& input_rank = fq->get_input_partial_shape(0).rank().get_length();
+        ov::OutputVector fq_inputs = {transpose->input_value(0)};
+        for (size_t i = 1; i < fq->inputs().size(); ++i) {
+            auto input = fq->input_value(i);
+            if (ov::shape_size(input.get_shape()) == 1) {
+                fq_inputs.push_back(input);
+                continue;
+            }
+
+            const auto& range_rank = input.get_partial_shape().rank().get_length();
+            if (range_rank > input_rank)
+                return false;
+
+            const auto& ranks_diff = input_rank - range_rank;
+            if (ranks_diff > 0) {
+                std::vector<int64_t> axes(ranks_diff);
+                std::iota(axes.begin(), axes.end(), 0);
+                const auto& axes_const = v0::Constant::create(element::i64, Shape{axes.size()}, axes);
+                new_ops.push_back(axes_const);
+                const auto& unsqueezed_input = op_util::make_try_fold<v0::Unsqueeze>(input, axes_const);
+                new_ops.push_back(unsqueezed_input);
+                input = unsqueezed_input->output(0);
+            }
+            const auto& transposed_input = op_util::make_try_fold<v1::Transpose>(input, reverse_order_constant);
+            new_ops.push_back(transposed_input);
+            fq_inputs.push_back(transposed_input);
+        }
+
+        auto new_fq = fq->clone_with_new_inputs(fq_inputs);
+        new_ops.push_back(new_fq);
+
+        auto new_transpose = register_new_node<v1::Transpose>(new_fq, transpose_order);
+        new_ops.push_back(new_transpose);
+        new_transpose->set_friendly_name(fq->get_friendly_name());
+
+        ov::copy_runtime_info({fq, transpose}, new_ops);
+        ov::replace_node(fq, new_transpose);
+        return true;
+    };
+
+    auto m = std::make_shared<Matcher>(fq_label, matcher_name);
+    register_matcher(m, matcher_pass_callback);
+}
+
 ov::pass::TransposeEltwise::TransposeEltwise() {
     MATCHER_SCOPE(TransposeEltwise);
 
diff --git a/src/common/transformations/tests/common_optimizations/transpose_sinking_test.cpp b/src/common/transformations/tests/common_optimizations/transpose_sinking_test.cpp
index a1287ada70f84f..1189cc2b62c4c2 100644
--- a/src/common/transformations/tests/common_optimizations/transpose_sinking_test.cpp
+++ b/src/common/transformations/tests/common_optimizations/transpose_sinking_test.cpp
@@ -7,6 +7,7 @@
 #include <gtest/gtest.h>
 
 #include <memory>
+#include <numeric>
 #include <string>
 
 #include "common_test_utils/ov_test_utils.hpp"
@@ -105,6 +106,55 @@ class TransposeSinkingFQ : public ov::test::TestsCommon,
     }
 };
 
+struct TransposeFQTransposeFuseParams {
+    Shape ranges_shape;
+    Shape expected_ranges_shape;
+};
+
+class TransposeSinkingFQTransposeFuse : public ov::test::TestsCommon,
+                                        public testing::WithParamInterface<std::tuple<TransposeFQTransposeFuseParams>> {
+public:
+    std::shared_ptr<Model> f, f_ref;
+
+    void SetUp() override {
+        const auto& test_case = std::get<0>(GetParam());
+        std::vector<float> fq_values(shape_size(test_case.ranges_shape));
+        std::iota(fq_values.begin(), fq_values.end(), 0.f);
+
+        {
+            auto input = std::make_shared<opset6::Parameter>(element::f32, PartialShape{1, 3, 4, 5});
+
+            auto first_order =
+                std::make_shared<opset6::Constant>(element::i64, Shape{4}, std::vector<int64_t>{0, 2, 3, 1});
+            auto first_transpose = std::make_shared<opset6::Transpose>(input, first_order);
+
+            auto i_low = std::make_shared<opset6::Constant>(element::f32, test_case.ranges_shape, fq_values);
+            auto i_high = std::make_shared<opset6::Constant>(element::f32, test_case.ranges_shape, fq_values);
+            auto o_low = std::make_shared<opset6::Constant>(element::f32, test_case.ranges_shape, fq_values);
+            auto o_high = std::make_shared<opset6::Constant>(element::f32, test_case.ranges_shape, fq_values);
+            auto fq = std::make_shared<opset6::FakeQuantize>(first_transpose, i_low, i_high, o_low, o_high, 256);
+
+            auto second_order =
+                std::make_shared<opset6::Constant>(element::i64, Shape{4}, std::vector<int64_t>{0, 3, 1, 2});
+            auto second_transpose = std::make_shared<opset6::Transpose>(fq, second_order);
+
+            f = std::make_shared<ov::Model>(OutputVector{second_transpose}, ParameterVector{input});
+        }
+
+        {
+            auto input = std::make_shared<opset6::Parameter>(element::f32, PartialShape{1, 3, 4, 5});
+
+            auto i_low = std::make_shared<opset6::Constant>(element::f32, test_case.expected_ranges_shape, fq_values);
+            auto i_high = std::make_shared<opset6::Constant>(element::f32, test_case.expected_ranges_shape, fq_values);
+            auto o_low = std::make_shared<opset6::Constant>(element::f32, test_case.expected_ranges_shape, fq_values);
+            auto o_high = std::make_shared<opset6::Constant>(element::f32, test_case.expected_ranges_shape, fq_values);
+            auto fq = std::make_shared<opset6::FakeQuantize>(input, i_low, i_high, o_low, o_high, 256);
+
+            f_ref = std::make_shared<ov::Model>(OutputVector{fq}, ParameterVector{input});
+        }
+    }
+};
+
 TEST_P(TransposeSinkingFQ, TransposeFQReduce) {
     auto unh = std::make_shared<ov::pass::UniqueNamesHolder>();
     pass::Manager manager;
@@ -155,6 +205,34 @@ INSTANTIATE_TEST_SUITE_P(TransformationTest,
                                                                  {2, 3},
                                                                  {0, 1}}));
 
+TEST_P(TransposeSinkingFQTransposeFuse, TransposeFQTransposeFuse) {
+    auto unh = std::make_shared<ov::pass::UniqueNamesHolder>();
+    pass::Manager manager;
+    manager.register_pass<ov::pass::InitUniqueNames>(unh);
+    manager.register_pass<ov::pass::InitNodeInfo>();
+    manager.register_pass<ov::pass::TransposeSinking>();
+    manager.register_pass<ov::pass::CheckUniqueNames>(unh);
+    manager.run_passes(f);
+    OV_ASSERT_NO_THROW(check_rt_info(f));
+
+    auto fc = FunctionsComparator::no_default()
+                  .enable(FunctionsComparator::NODES)
+                  .enable(FunctionsComparator::PRECISIONS)
+                  .enable(FunctionsComparator::CONST_VALUES);
+    auto res = fc.compare(f, f_ref);
+    ASSERT_TRUE(res.valid) << res.message;
+}
+
+INSTANTIATE_TEST_SUITE_P(TransposeSinkingCommon,
+                         TransposeSinkingFQTransposeFuse,
+                         testing::Values(TransposeFQTransposeFuseParams{{}, {}},
+                                         TransposeFQTransposeFuseParams{{1}, {1}},
+                                         TransposeFQTransposeFuseParams{{1, 1, 1, 1}, {1, 1, 1, 1}},
+                                         TransposeFQTransposeFuseParams{{3}, {1, 3, 1, 1}},
+                                         TransposeFQTransposeFuseParams{{1, 3}, {1, 3, 1, 1}},
+                                         TransposeFQTransposeFuseParams{{1, 1, 3}, {1, 3, 1, 1}},
+                                         TransposeFQTransposeFuseParams{{1, 1, 1, 3}, {1, 3, 1, 1}}));
+
 struct TransposeReduceParams {
     // given params
     PartialShape transpose_input_shape;