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diff --git a/tests/assets/expected_case_by_area_empty.png b/tests/assets/expected_case_by_area_empty.png
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diff --git a/tests/engines/test_engines_plotly_reporter_draw_test_case_by_area.py b/tests/engines/test_engines_plotly_reporter_draw_test_case_by_area.py
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+++ b/tests/engines/test_engines_plotly_reporter_draw_test_case_by_area.py
@@ -0,0 +1,108 @@
+# -*- coding: utf-8 -*-
+"""Tests for plotly_reporter module, the PlotlyReporter clas, draw_automation_state_report method"""
+from copy import deepcopy
+from os import path, remove, getcwd
+from random import choice
+
+import pytest
+from faker import Faker
+
+from testrail_api_reporter.engines.plotly_reporter import (  # pylint: disable=import-error,no-name-in-module
+    PlotlyReporter,
+)
+
+
+fake = Faker()
+
+
+@pytest.fixture
+def random_expected_image(case_stat):
+    """
+    Fixture that chooses random expected image for draw automation state
+
+    :param case_stat: fixture returns empty CaseStat object
+    """
+    if choice((False, True)):
+        case_stat_first = case_stat
+        case_stat_first.set_name("UI")
+        case_stat_first.total = 999
+        case_stat_first.automated = 1234
+        case_stat_first.not_automated = 99
+        case_stat_first.not_applicable = 56
+        case_stat_second = deepcopy(case_stat)
+        case_stat_second.set_name("API")
+        case_stat_second.total = 77
+        case_stat_second.automated = 11
+        case_stat_second.not_automated = 0
+        case_stat_second.not_applicable = 1024
+        return {
+            "filename": f"{getcwd()}/tests/assets/expected_case_by_area.png",
+            "data": [case_stat_first, case_stat_second],
+        }
+    else:
+        case_stat.set_name("Automation State")
+        return {"filename": f"{getcwd()}/tests/assets/expected_case_by_area_empty.png", "data": [case_stat]}
+
+
+def test_draw_test_case_by_area_no_cases(caplog, random_plotly_reporter):
+    """
+    Init PlotlyReporter and call draw_test_case_by_area without cases should raise ValueError
+
+    :param caplog: caplog fixture
+    :param random_plotly_reporter: fixture returns PlotlyReporter
+    """
+    with pytest.raises(ValueError, match="No TestRail cases are provided, report aborted!"):
+        random_plotly_reporter.draw_test_case_by_area(
+            filename=fake.file_name(extension=choice(("png", "jpg", "jpeg", "webp")))
+        )
+
+
+def test_draw_test_case_by_area_no_filename(caplog, random_plotly_reporter):
+    """
+    Init PlotlyReporter and call draw_test_case_by_area without filename should raise ValueError
+
+    :param caplog: caplog fixture
+    :param random_plotly_reporter: fixture returns PlotlyReporter
+    """
+    with pytest.raises(ValueError, match="No output filename is provided, report aborted!"):
+        random_plotly_reporter.draw_test_case_by_area(cases=[fake.pydict()])
+
+
+def test_draw_test_case_by_area_creates_file(caplog, case_stat, case_stat_random, random_plotly_reporter):
+    """
+    Init PlotlyReporter and call draw_test_case_by_area with valid parameters should create file
+
+    :param caplog: caplog fixture
+    :param case_stat: fixture returns empty CaseStat object
+    :param case_stat_random: fixture returns filled with random data CaseStat object
+    :param random_plotly_reporter: fixture returns PlotlyReporter
+    """
+    filename = fake.file_name(extension=choice(("png", "jpg", "jpeg", "webp")))
+    try:
+        cases = [case_stat_random, case_stat]
+
+        random_plotly_reporter.draw_test_case_by_area(filename=filename, cases=cases)
+
+        assert path.exists(filename)
+    finally:
+        if path.exists(filename):
+            remove(filename)
+
+
+def test_draw_test_case_by_area_creates_correct_image(caplog, random_expected_image, compare_image):
+    """
+    Init PlotlyReporter and call draw_test_case_by_area with valid parameters should create correct image
+
+    :param caplog: caplog fixture
+    :param random_expected_image: fixture, returns any of possible expected cases
+    :param compare_image: fixture, returns function to compare images
+    """
+    type_platforms = [{"name": "UI", "sections": [8080, 11, 4]}, {"name": "API", "sections": [12, 101, 86]}]
+    filename = "actual_test_case_by_area.png"
+    try:
+        plotly_reporter = PlotlyReporter(type_platforms=type_platforms)
+        plotly_reporter.draw_test_case_by_area(filename=filename, cases=random_expected_image["data"])
+        assert compare_image(actual=filename, expected=random_expected_image["filename"])
+    finally:
+        if path.exists(filename):
+            remove(filename)