diff --git a/pyproject.toml b/pyproject.toml
index b17954c96..a305181c3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -43,6 +43,7 @@ dependencies = [
     "scipy>=1.8, <1.17",
     "pandas>1.5, <3.0, !=1.4.0",
     "matplotlib>=3.5, <=3.10",
+    "japanize-matplotlib",
     "pydantic>=2, <3",
     "PyYAML>=6.0.3, <6.1",
     "jinja2>=3.1.6, <3.2",
diff --git a/src/data_profiling/__init__.py b/src/data_profiling/__init__.py
index e5e2886d4..58e99f895 100644
--- a/src/data_profiling/__init__.py
+++ b/src/data_profiling/__init__.py
@@ -4,6 +4,7 @@
 """
 # ignore numba warnings
 import warnings  # isort:skip # noqa
+import japanize_matplotlib
 
 import importlib.util  # isort:skip # noqa
 from warnings import warn
diff --git a/src/data_profiling/visualisation/context.py b/src/data_profiling/visualisation/context.py
index bb7228e2c..66fee344c 100644
--- a/src/data_profiling/visualisation/context.py
+++ b/src/data_profiling/visualisation/context.py
@@ -37,6 +37,12 @@ def manage_matplotlib_context() -> Any:
         "image.cmap": "Greys",
         "font.family": ["sans-serif"],
         "font.sans-serif": [
+            "IPAexGothic",
+            "Meiryo",            
+            "Hiragino Sans",     
+            "Hiragino Kaku Gothic ProN", 
+            "Noto Sans CJK JP",  
+            "IPAGothic",       
             "Arial",
             "Liberation Sans",
             "Bitstream Vera Sans",
@@ -75,8 +81,8 @@ def manage_matplotlib_context() -> Any:
 
     try:
         register_matplotlib_converters()
-        matplotlib.rcParams.update(customRcParams)
         sns.set_style(style="white")
+        matplotlib.rcParams.update(customRcParams)
         yield
     finally:
         deregister_matplotlib_converters()  # revert to original unit registries
diff --git a/src/data_profiling/visualisation/plot.py b/src/data_profiling/visualisation/plot.py
index 6f90977e9..2c5c90b84 100644
--- a/src/data_profiling/visualisation/plot.py
+++ b/src/data_profiling/visualisation/plot.py
@@ -10,6 +10,7 @@
 from matplotlib.collections import PolyCollection
 from matplotlib.colors import Colormap, LinearSegmentedColormap, ListedColormap, rgb2hex
 from matplotlib.dates import AutoDateLocator, ConciseDateFormatter
+from matplotlib.font_manager import findfont, FontProperties
 from matplotlib.patches import Patch
 from matplotlib.ticker import FuncFormatter, MaxNLocator
 from statsmodels.graphics.tsaplots import plot_acf, plot_pacf
@@ -22,6 +23,15 @@
 from data_profiling.visualisation.utils import plot_360_n0sc0pe
 
 
+def _resolve_font_path() -> Optional[str]:
+    """Return the file path of the current matplotlib sans-serif font."""
+    try:
+        fp = FontProperties()
+        return findfont(fp)
+    except Exception:
+        return None
+
+
 def format_fn(tick_val: int, tick_pos: Any) -> str:
     return convert_timestamp_to_datetime(tick_val).strftime("%Y-%m-%d %H:%M:%S")
 
@@ -36,8 +46,9 @@ def _plot_word_cloud(
     plot = plt.figure(figsize=figsize)
     for i, series_data in enumerate(series):
         word_dict = series_data.to_dict()
+        font_path = config.plot.font_path or _resolve_font_path()
         wordcloud = WordCloud(
-            font_path=config.plot.font_path,
+            font_path=font_path,
             background_color="white",
             random_state=123,
             width=300,