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Bipolar Disorder (Manic Depression) Epidemiology Forecast 2025-2034

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    Report

  • 150 Pages
  • June 2025
  • Region: Global
  • Expert Market Research
  • ID: 6102604
The bipolar disorder (manic depression) epidemiology forecast suggests that the prevalence of this mental health condition is expected to rise in the coming years due to factors such as improved awareness, better diagnosis, and changing societal attitudes towards mental illnesses. The World Health Organisation (WHO) ranks bipolar disorder (manic depression) as the sixth leading cause of disability worldwide. Further, approximately 2.6% of the American population aged 18 and older are affected by bipolar disorder (manic depression) each year, as per the National Institute of Mental Health.

Bipolar Disorder (Manic Depression) Epidemiology Forecast Report Coverage

The “Bipolar Disorder (Manic Depression) Epidemiology Forecast Report 2025-2034” offers comprehensive information on the prevalence and demographics of bipolar disorder (manic depression). It projects the future incidence and prevalence rates of bipolar disorder (manic depression) cases across various populations. The study covers age, gender, and type as major determinants of the bipolar disorder (manic depression) population. The report highlights patterns in the prevalence of bipolar disorder (manic depression) over time and projects future trends based on multiple variables.

The report provides a comprehensive overview of the disease, as well as historical and projected data on bipolar disorder (manic depression) epidemiology in the 8 major markets.

Regions Covered

  • The United States
  • Germany
  • France
  • Italy
  • Spain
  • The United Kingdom
  • Japan
  • India

Bipolar Disorder (Manic Depression) Understanding: Disease Overview

Bipolar disorder (manic depression) is a mental health condition that typically involve emotional highs (mania or hypomania), and emotional lows (depression). During a manic episode, an individual may experience feelings of extreme euphoria, high energy, and increased activity levels. On the other hand, during depressive episodes, a person may experience feelings of deep sadness and hopelessness.

Bipolar disorder (manic depression) is primarily classified as bipolar I, bipolar II, and cyclothymic disorder. Studies indicate that a combination of genetic, biochemical, and environmental factors might be responsible for bipolar disorder (manic depression).

Bipolar Disorder (Manic Depression) Epidemiology Perspective

The bipolar disorder (manic depression) epidemiology division offers information on the patient pool from history to the present as well as the projected trend for each of the 8 major markets. The publisher provides both current and predicted trends for bipolar disorder (manic depression) epidemiology scenario by examining a wide range of studies. Additionally, the report covers the diagnosed patient pool for bipolar disorder (manic depression) and their trends. The bipolar disorder (manic depression) detailed epidemiology segmentation is broken down into specific categories, such as total prevalent cases in males and females, and total diagnosed cases across different age groups and patient pools.
  • The World Health Organisation (WHO) ranks bipolar disorder as the sixth leading cause of disability worldwide. Further, in 2019, bipolar disorder (manic depression) affected 40 million people, as per the Institute for Health Metrics and Evaluation (2023).
  • Cyclothymia, a form of bipolar disorder (manic depression), is reported to have a lifetime prevalence of about 0.4% to 1%, with an equal male to female ratio of 1:1. In clinical settings, prevalence may be higher, with some surveys indicating rates as high as 5%, according to a 2020 review and other studies.
  • The National Institute of Mental Health reports that around 5.7 million adults in the United States or 2.6% of the American population aged 18 and older are affected by bipolar disorder (manic depression) each year.

Age-Based Bipolar Disorder (Manic Depression) Epidemiology Insights

Bipolar disorder (manic depression is observed in people of all ages. As per the National Institute of Mental Health, the median age of onset for bipolar disorder (manic depression) is 25 years. However, it is also observed that this mental health condition can start in early childhood or even in 40s and 50s.

Gender-Based Bipolar Disorder (Manic Depression) Epidemiology Insights

Bipolar disorder (manic depression) is reported to affect both men and women equally. A 2018 community-based study suggests that women and people with bipolar II disorder have a higher likelihood of experiencing periods of rapid cycling compared to men with the same condition.

Country-wise Bipolar Disorder (Manic Depression) Epidemiology Segment

The bipolar disorder (manic depression) epidemiology data and findings from the United States, Germany, Spain, Italy, France, the United Kingdom, Japan, and India are also provided in the epidemiology section.

The epidemiology of bipolar disorder (manic depression) varies between countries, owing to differences in factors such as genetic predisposition, cultural perceptions and awareness, healthcare access, and socioeconomic conditions, among others. About 9.5% of American adults aged 18 and over are estimated to suffer from a depressive illness including bipolar disorder (manic depression) each year.

Bipolar Disorder (Manic Depression): Treatment Overview

Bipolar disorder (manic depression) therapeutics include mood stabilizers (lithium), which are an effective treatment for controlling manic and depressive episodes. Antipsychotics are used to address severe symptoms or psychosis, and antidepressants are prescribed for the treatment of depressive episodes.

Psychotherapy, such as cognitive-behavioral therapy (CBT), helps bipolar disorder (manic depression) patients recognize negative thought patterns and behaviors, as well as develop coping strategies. In addition to these primary treatments, lifestyle changes such as maintaining a regular sleep schedule, exercising regularly, eating a balanced diet, and managing stress are recommended to the patients.

Key Questions Answered

  • What are the key findings of bipolar disorder (manic depression) epidemiology in the 8 major markets?
  • What will be the total number of patients with bipolar disorder (manic depression) across the 8 major markets during the forecast period?
  • What was the country-wise bipolar disorder (manic depression) epidemiology scenario in the 8 major markets in the historical period?
  • Which country will have the highest number of bipolar disorder (manic depression) patients during the forecast period of 2025-2034?
  • Which key factors would influence the shift in the patient population of bipolar disorder (manic depression) during the forecast period of 2025-2034?
  • What are the currently available treatments in the bipolar disorder (manic depression) market?
  • What are the disease risks, signs, symptoms, and unmet needs of bipolar disorder (manic depression)?

Scope of the Bipolar Disorder (Manic Depression) Epidemiology Report

  • The report covers a detailed analysis of signs and symptoms, causes, risk factors, pathophysiology, diagnosis, treatment options, and classification/types of bipolar disorder (manic depression) based on several factors.
  • Bipolar Disorder (Manic Depression) Epidemiology Forecast Report covers data for the eight major markets (the US, France, Germany, Italy, Spain, the UK, Japan, and India).
  • The bipolar disorder (manic depression) report helps to identify the patient population and the unmet needs are highlighted along with an assessment of the disease's risk and burden.

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Table of Contents

1 Preface
1.1 Introduction
1.2 Objectives of the Study
1.3 Research Methodology and Assumptions
2 Executive Summary
3 Bipolar Disorder (Manic Depression) Market Overview - 8 MM
3.1 Bipolar Disorder (Manic Depression) Market Historical Value (2018-2024)
3.2 Bipolar Disorder (Manic Depression) Market Forecast Value (2025-2034)
4 Bipolar Disorder (Manic Depression) Epidemiology Overview - 8 MM
4.1 Bipolar Disorder (Manic Depression) Epidemiology Scenario (2018-2024)
4.2 Bipolar Disorder (Manic Depression) Epidemiology Forecast (2025-2034)
5 Disease Overview
5.1 Signs and Symptoms
5.2 Causes
5.3 Risk Factors
5.4 Guidelines and Stages
5.5 Pathophysiology
5.6 Screening and Diagnosis
5.7 Types of Bipolar Disorder (Manic Depression)
6 Patient Profile
6.1 Patient Profile Overview
6.2 Patient Psychology and Emotional Impact Factors
7 Epidemiology Scenario and Forecast - 8 MM (218-2034)
7.1 Key Findings
7.2 Assumptions and Rationale
7.3 Diagnosed Prevalent Cases of Bipolar Disorder (Manic Depression)
7.4 Type-Specific Cases of Bipolar Disorder (Manic Depression)
7.5 Gender-Specific Cases of Bipolar Disorder (Manic Depression)
7.6 Age-Specific Cases of Bipolar Disorder (Manic Depression)
8 Epidemiology Scenario and Forecast: United States (218-2034)
8.1 Assumptions and Rationale in the United States
8.2 Diagnosed Prevalent Cases of Bipolar Disorder (Manic Depression) in the United States
8.3 Type-Specific Cases of Bipolar Disorder (Manic Depression) in the United States
8.4 Gender-Specific Cases of Bipolar Disorder (Manic Depression) in the United States
8.5 Age-Specific Cases of Bipolar Disorder (Manic Depression) in the United States
9 Epidemiology Scenario and Forecast: United Kingdom (218-2034)
9.1 Assumptions and Rationale in the United Kingdom
9.2 Diagnosed Prevalent Cases of Bipolar Disorder (Manic Depression) in the United Kingdom
9.3 Type-Specific Cases of Bipolar Disorder (Manic Depression) in the United Kingdom
9.4 Gender-Specific Cases of Bipolar Disorder (Manic Depression) in the United Kingdom
9.5 Age-Specific Cases of Bipolar Disorder (Manic Depression) in the United Kingdom
10 Epidemiology Scenario and Forecast: Germany (218-2034)
10.1 Assumptions and Rationale in Germany
10.2 Diagnosed Prevalent Cases of Bipolar Disorder (Manic Depression) in Germany
10.3 Type-Specific Cases of Bipolar Disorder (Manic Depression) in Germany
10.4 Gender-Specific Cases of Bipolar Disorder (Manic Depression) in Germany
10.5 Age-Specific Cases of Bipolar Disorder (Manic Depression) in Germany
11 Epidemiology Scenario and Forecast: France (218-2034)
11.1 Assumptions and Rationale in France
11.2 Diagnosed Prevalent Cases of Bipolar Disorder (Manic Depression) in France
11.3 Type-Specific Cases of Bipolar Disorder (Manic Depression) in France
11.4 Gender-Specific Cases of Bipolar Disorder (Manic Depression) in France
11.5 Age-Specific Cases of Bipolar Disorder (Manic Depression) in France
12 Epidemiology Scenario and Forecast: Italy (218-2034)
12.1 Assumptions and Rationale in Italy
12.2 Diagnosed Prevalent Cases of Bipolar Disorder (Manic Depression) in Italy
12.3 Type-Specific Cases of Bipolar Disorder (Manic Depression) in Italy
12.4 Gender-Specific Cases of Bipolar Disorder (Manic Depression) in Italy
12.5 Age-Specific Cases of Bipolar Disorder (Manic Depression) in Italy
13 Epidemiology Scenario and Forecast: Spain (218-2034)
13.1 Assumptions and Rationale in Spain
13.2 Diagnosed Prevalent Cases of Bipolar Disorder (Manic Depression) in Spain
13.3 Type-Specific Cases of Bipolar Disorder (Manic Depression) in Spain
13.4 Gender-Specific Cases of Bipolar Disorder (Manic Depression) in Spain
13.5 Age-Specific Cases of Bipolar Disorder (Manic Depression) in Spain
14 Epidemiology Scenario and Forecast: Japan (218-2034)
14.1 Assumptions and Rationale in Japan
14.2 Diagnosed Prevalent Cases of Bipolar Disorder (Manic Depression) in Japan
14.3 Type-Specific Cases of Bipolar Disorder (Manic Depression) in Japan
14.4 Gender-Specific Cases of Bipolar Disorder (Manic Depression) in Japan
14.5 Age-Specific Cases of Bipolar Disorder (Manic Depression) in Japan
15 Epidemiology Scenario and Forecast: India (218-2034)
15.1 Assumptions and Rationale in India
15.2 Diagnosed Prevalent Cases of Bipolar Disorder (Manic Depression) in India
15.3 Type-Specific Cases of Bipolar Disorder (Manic Depression) in India
15.4 Gender-Specific Cases of Bipolar Disorder (Manic Depression) in India
15.5 Age-Specific Cases of Bipolar Disorder (Manic Depression) in India
16 Patient Journey17 Treatment Challenges and Unmet Needs18 Key Opinion Leaders (KOL) Insights