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Hypersomnia Epidemiology Forecast 2025-2034

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    Report

  • 150 Pages
  • June 2025
  • Region: Global
  • Expert Market Research
  • ID: 6102550
People with hypersomnia experience extreme daytime sleepiness despite taking adequate sleep. Hypersomnia is estimated to affect around 5% of the population and is generally diagnosed in adolescence or young adulthood, with a mean age of 17 to 24 years.

Hypersomnia Epidemiology Forecast Report Coverage

The “Hypersomnia Epidemiology Forecast Report 2025-2034” offers comprehensive information on the prevalence and demographics of hypersomnia. It projects the future incidence and prevalence rates of hypersomnia across various populations. The study covers age, gender, and type as major determinants of the hypersomnia-affected population. The report highlights patterns in the prevalence of hypersomnia 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 the epidemiology of hypersomnia in the 8 major markets.

Regions Covered

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

Hypersomnia Disease Overview

Hypersomnia or excessive daytime sleepiness is a neurological disorder that causes the inability to stay awake and alert during the day despite adequate nighttime sleep. This condition can be caused by sleep disorders, medications, inadequate sleep, medical or psychiatric illnesses, depression, and head injury, among others. The characteristics of hypersomnia differ from person to person depending on the underlying causes, age, and lifestyle.

Hypersomnia: Treatment Overview

Medications and lifestyle changes are the primary treatments for hypersomnia. Modafinil (Provigil) is a common stimulant that is prescribed to the patients to help them stay awake during the day. Armodafinil (Nuvigil) is another medication for the treatment of idiopathic hypersomnia. Psychostimulants such as amphetamine and methylphenidate are also prescribed but they carry more abuse potential and side effects than first-line agents.

Epidemiology

The hypersomnia epidemiology section 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 hypersomnia by examining a wide range of studies. Additionally, the report covers the diagnosed patient pool for hypersomnia and their trends. The data 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.
  • Hypersomnia is estimated to affect approximately 5% of the population, with a family history present in around 39% of the patients struggling with idiopathic hypersomnia.
  • The prevalence of idiopathic hypersomnia falls in the range of 0.002% to 0.010% in the general population, with a greater number of cases reported in women.
  • A 2018 study conducted in a sample of 6,483 adolescents aged 13-18 years revealed that about 41.5% of adolescents in the United States feel sleepy during the daytime, with 11.7% meeting hypersomnolence criteria.
  • The prevalence of idiopathic hypersomnia is estimated to slightly less frequent in expert centers compared to narcolepsy, affecting around 1 to 2 persons for 10,000 inhabitants.

Country-wise Hypersomnia Epidemiology

The hypersomnia epidemiology data and findings for the United States, EU-4 (Germany, Spain, Italy, France), the United Kingdom, Japan, and India are also provided in the epidemiology section.

The epidemiology of hypersomnia varies between countries owing to the differences in work culture, lifestyle, and environmental factors such as sleep hygiene, levels of stress, or prevalence of comorbid conditions like depression. Genetic factors, as well as differences in age, gender, and ethnicity, also contribute to variations in the prevalence of hypersomnia between countries. In the United States, a 2023 study reported the prevalence rate of idiopathic hypersomnia to be 32.12, 35.71, and 37.03 per 100,000 persons in 2019, 2020, and 2021, respectively.

Scope of the Report

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

Key Questions Answered

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

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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 Hypersomnia Market Overview - 8 MM
3.1 Hypersomnia Market Historical Value (2018-2024)
3.2 Hypersomnia Market Forecast Value (2025-2034)
4 Hypersomnia Epidemiology Overview - 8 MM
4.1 Hypersomnia Epidemiology Scenario (2018-2024)
4.2 Hypersomnia 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 Hypersomnia
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 Hypersomnia
7.4 Type-Specific Cases of Hypersomnia
7.5 Gender-Specific Cases of Hypersomnia
7.6 Age-Specific Cases of Hypersomnia
8 Epidemiology Scenario and Forecast: United States (218-2034)
8.1 Assumptions and Rationale in the US
8.2 Diagnosed Prevalent Cases of Hypersomnia in the US
8.3 Type-Specific Cases of Hypersomnia in the US
8.4 Gender-Specific Cases of Hypersomnia in the US
8.5 Age-Specific Cases of Hypersomnia in the US
9 Epidemiology Scenario and Forecast: United Kingdom (218-2034)
9.1 Assumptions and Rationale in United Kingdom
9.2 Diagnosed Prevalent Cases of Hypersomnia in United Kingdom
9.3 Type-Specific Cases of Hypersomnia in United Kingdom
9.4 Gender-Specific Cases of Hypersomnia in United Kingdom
9.5 Age-Specific Cases of Hypersomnia in United Kingdom
10 Epidemiology Scenario and Forecast: Germany (218-2034)
10.1 Assumptions and Rationale in Germany
10.2 Diagnosed Prevalent Cases of Hypersomnia in Germany
10.3 Type-Specific Cases of Hypersomnia in Germany
10.4 Gender-Specific Cases of Hypersomnia in Germany
10.5 Age-Specific Cases of Hypersomnia in Germany
11 Epidemiology Scenario and Forecast: France (218-2034)
11.1 Assumptions and Rationale in France
11.2 Diagnosed Prevalent Cases of Hypersomnia in France
11.3 Type-Specific Cases of Hypersomnia in France
11.4 Gender-Specific Cases of Hypersomnia in France
11.5 Age-Specific Cases of Hypersomnia in France
12 Epidemiology Scenario and Forecast: Italy (218-2034)
12.1 Assumptions and Rationale in Italy
12.2 Diagnosed Prevalent Cases of Hypersomnia in Italy
12.3 Type-Specific Cases of Hypersomnia in Italy
12.4 Gender-Specific Cases of Hypersomnia in Italy
12.5 Age-Specific Cases of Hypersomnia in Italy
13 Epidemiology Scenario and Forecast: Spain (218-2034)
13.1 Assumptions and Rationale in Spain
13.2 Diagnosed Prevalent Cases of Hypersomnia in Spain
13.3 Type-Specific Cases of Hypersomnia in Spain
13.4 Gender-Specific Cases of Hypersomnia in Spain
13.5 Age-Specific Cases of Hypersomnia in Spain
14 Epidemiology Scenario and Forecast: Japan (218-2034)
14.1 Assumptions and Rationale in Japan
14.2 Diagnosed Prevalent Cases of Hypersomnia in Japan
14.3 Type-Specific Cases of Hypersomnia in Japan
14.4 Gender-Specific Cases of Hypersomnia in Japan
14.5 Age-Specific Cases of Hypersomnia in Japan
15 Epidemiology Scenario and Forecast: India (218-2034)
15.1 Assumptions and Rationale in India
15.2 Diagnosed Prevalent Cases of Hypersomnia in India
15.3 Type-Specific Cases of Hypersomnia in India
15.4 Gender-Specific Cases of Hypersomnia in India
15.5 Age-Specific Cases of Hypersomnia in India
16 Patient Journey17 Treatment Challenges and Unmet Needs18 Key Opinion Leaders (KOL) Insights