EpiCast Report: Insomnia – Epidemiology Forecast to 2023

Insomnia is a highly prevalent condition; approximately one third of the general population presents with some degree of insomnia.

GlobalData epidemiologists forecast that the total prevalent cases of acute insomnia in the 7MM will increase from 121,799,911 total prevalent cases in 2013, to 130,482,156 total prevalent cases in 2023 at an Annual Growth Rate (AGR) of 0.71%. GlobalData epidemiologists forecast an increase in the total prevalent cases of chronic insomnia (not fulfilling DSM-IV criteria) in the 7MM from 62,982,390 total prevalent cases in 2013, to 67,471,957 total prevalent cases in 2023 at an AGR of 0.71%. The 7MM had an estimated 23,690,040 total prevalent cases of chronic primary insomnia in 2013 and the number of total prevalent cases is expected to increase to 25,378,728 by 2023, at an AGR of 0.71%. GlobalData epidemiologists forecast that the total prevalent cases of chronic secondary insomnia in the 7MM will increase from 53,697,425 total prevalent cases in 2013, to 57,525,122 total prevalent cases in 2023 at an AGR of 0.71%.

GlobalData epidemiologists used comprehensive country-specific data from population-based studies published in peer-reviewed journal articles to arrive at a meaningful, in-depth analysis and forecast for the total prevalent cases of acute insomnia, chronic insomnia (not fulfilling DSM-IV criteria), chronic primary insomnia, and chronic secondary insomnia in the 7MM, based on the DSM-IV criteria. For all the 7MM, the total prevalent cases of acute insomnia, chronic insomnia (not fulfilling DSM-IV criteria), chronic primary insomnia, and chronic secondary insomnia were segmented by age and sex, which facilitates an understanding of the distribution of the disease within the population and informs strategies to improve the management of the disease. Furthermore, the forecast methodology is consistent across each of the 7MM, thereby allowing for a meaningful comparison of the forecast total prevalent cases among each market.

Scope

The Insomnia EpiCast Report and EpiCast Model provides an overview of the risk factors, comorbidities, and the global and historical trends for insomnia in the seven major markets (7MM) (US, France, Germany, Italy, Spain, UK, and Japan). It includes a 10-year epidemiological forecast for the total prevalent cases of acute insomnia, chronic insomnia (not fulfilling DSM-IV criteria), chronic primary insomnia, and chronic secondary insomnia, segmented by sex and age (in 15-year age groups beginning at 15 years and ending at =75 years) in these markets.

The insomnia epidemiology report and model were written and developed by Masters- and PhD-level epidemiologists.

The EpiCast Report is in-depth, high quality, transparent and market-driven, providing expert analysis of disease trends in the 7MM.

The EpiCast Model is easy to navigate, interactive with dashboards, and epidemiology-based with transparent and consistent methodologies. Moreover, the model supports data presented in the report and showcases disease trends over a 10-year forecast period using reputable sources.

Reasons to buy

Develop business strategies by understanding the trends shaping and driving the global insomnia market.

Quantify patient populations in the global insomnia market to improve product design, pricing, and launch plans.

Organize sales and marketing efforts by identifying the sex and age groups that present the best opportunities for insomnia therapeutics in each of the markets covered.

Table of Contents

1 Table of Contents 5

1.1 List of Tables 7

1.2 List of Figures 8

2 Introduction 10

2.1 Catalyst 10

2.2 Related Reports 11

2.3 Upcoming Related Reports 12

3 Epidemiology 13

3.1 Disease Background 13

3.2 Risk Factors and Comorbidities 13

3.3 Global Trends 14

3.4 Forecast Methodology 16

3.4.1 Sources Used 22

3.4.2 Sources Not Used 23

3.4.3 Forecast Assumptions and Methods 24

3.5 Epidemiological Forecast for Acute Insomnia (2013-2023) 33

3.5.1 Total Prevalent Cases of Acute Insomnia 33

3.5.2 Age-Specific Total Prevalent Cases of Acute Insomnia 35

3.5.3 Sex-Specific Total Prevalent Cases of Acute Insomnia 36

3.5.4 Age-Standardized Total Prevalence of Acute Insomnia 38

3.6 Epidemiological Forecast for Chronic Insomnia (Not Fulfilling DSM-IV Criteria) (2013-2023) 39

3.6.1 Total Prevalent Cases of Chronic Insomnia (Not Fulfilling DSM-IV Criteria) 39

3.6.2 Age-Specific Total Prevalent Cases of Chronic Insomnia (Not Fulfilling DSM-IV Criteria) 40

3.6.3 Sex-Specific Total Prevalent Cases of Chronic Insomnia (Not Fulfilling DSM-IV Criteria) 42

3.6.4 Age-Standardized Total Prevalent Cases of Chronic Insomnia (Not Fulfilling DSM-IV Criteria) 44

3.7 Epidemiological Forecast for Chronic Primary Insomnia (2013-2023) 45

3.7.1 Total Prevalent Cases of Chronic Primary Insomnia 45

3.7.2 Age-Specific Total Prevalent Cases of Chronic Primary Insomnia 46

3.7.3 Sex-Specific Total Prevalent Cases of Chronic Primary Insomnia 48

3.7.4 Age-Standardized Total Prevalence of Chronic Primary Insomnia 50

3.8 Epidemiological Forecast for Chronic Secondary Insomnia (2013-2023) 51

3.8.1 Total Prevalent Cases of Chronic Secondary Insomnia 51

3.8.2 Age-Specific Total Prevalent Cases of Chronic Secondary Insomnia 52

3.8.3 Sex-Specific Total Prevalent Cases of Chronic Secondary Insomnia 54

3.8.4 Age-Standardized Total Prevalence of Chronic Secondary Insomnia 56

3.9 Discussion 57

3.9.1 Epidemiological Forecast Insight 57

3.9.2 Limitations of the Analysis 58

3.9.3 Strengths of the Analysis 59

4 Appendix 60

4.1 Bibliography 60

4.2 About the Authors 62

4.2.1 Epidemiologists 62

4.2.2 Reviewers 62

4.2.3 Global Director of Therapy Analysis and Epidemiology 63

4.2.4 Global Head of Healthcare 64

4.3 About GlobalData 65

4.4 About EpiCast 65

4.5 Disclaimer 66

List of Tables

Table 1: Risk Factors and Comorbidities for Insomnia

Table 2: DSM-IV Diagnostic Criteria for Primary Insomnia

Table 3: Sources of Epidemiological Data Used for the Forecast for Total Prevalent Cases of Acute Insomnia in the 7MM

Table 4: Sources of Epidemiological Data Used for the Forecast for Total Prevalent Cases of Chronic Insomnia (Not Fulfilling DSM-IV Criteria) in the 7MM

Table 5: Sources of Epidemiological Data Used for the Forecast for Total Prevalent Cases of Chronic Primary Insomnia in the 7MM

Table 6: Sources of Epidemiological Data Used for the Forecast for Total Prevalent Cases of Chronic Secondary Insomnia in the 7MM

Table 7: 7MM, Total Prevalent Cases of Acute Insomnia, Both Sexes, Ages =15 Years, N, Select Years 2013–2023

Table 8: 7MM, Age-Specific Total Prevalent Cases of Acute Insomnia, Both Sexes, N (Row %), 2013

Table 9: 7MM, Sex-Specific Total Prevalent Cases of Acute Insomnia, Ages =15 Years, N (Row %), 2013

Table 10: 7MM, Total Prevalent Cases of Chronic Insomnia (Not Fulfilling DSM-IV Criteria), Both Sexes, Ages =15 Years, N, Select Years 2013–2023

Table 11: 7MM, Age-Specific Total Prevalent Cases of Chronic Insomnia (Not Fulfilling DSM-IV Criteria), Both Sexes, N (Row %), 2013

Table 12: 7MM, Sex-Specific Total Prevalent Cases of Chronic Insomnia (Not Fulfilling DSM-IV Criteria), Ages =15 Years, N (Row %), 2013

Table 13: 7MM, Total Prevalent Cases of Chronic Primary Insomnia, Both Sexes, Ages =15 Years, N, Select Years 2013–2023

Table 14: 7MM, Age-Specific Total Prevalent Cases of Chronic Primary Insomnia, Both Sexes, N (Row %), 2013

Table 15: 7MM, Sex-Specific Total Prevalent Cases of Chronic Primary Insomnia, Ages =15 Years, N (Row %), 2013

Table 16: 7MM, Total Prevalent Cases of Chronic Secondary Insomnia, Both Sexes, Ages =15 Years, N, 2013–2023

Table 17: 7MM, Age-Specific Total Prevalent Cases of Chronic Secondary Insomnia, Both Sexes, N (Row %), 2013

Table 18: 7MM, Sex-Specific Total Prevalent Cases of Chronic Secondary Insomnia, Ages =15 Years, N (Row %), 2013

List of Figures

Figure 1: Global Average of the Total Prevalence of Insomnia Symptoms and Diagnoses

Figure 2: Patient Flow for the Epidemiological Forecast of Insomnia in the 7MM

Figure 3: 7MM, Total Prevalent Cases of Acute Insomnia, Both Sexes, Ages =15 Years, N, 2013–2023

Figure 4: 7MM, Age-Specific Total Prevalent Cases of Acute Insomnia, Both Sexes, N, 2013

Figure 5: 7MM, Sex-Specific Total Prevalent Cases of Acute Insomnia, Ages =15 Years, N, 2013

Figure 6: 7MM, Age-Standardized Total Prevalence of Acute Insomnia (%), Ages =15 Years, by Sex, 2013

Figure 7: 7MM, Total Prevalent Cases of Chronic Insomnia (Not Fulfilling DSM-IV Criteria), Both Sexes, Ages =15 Years, N, 2013–2023

Figure 8: 7MM, Age-Specific Total Prevalent Cases of Chronic Insomnia (Not Fulfilling DSM-IV Criteria), Both Sexes, Ages =15 Years, N, 2013

Figure 9: 7MM, Sex-Specific Total Prevalent Cases of Chronic Insomnia (Not Fulfilling DSM-IV Criteria), Ages =15 Years, N, 2013

Figure 10: 7MM, Age-Standardized Total Prevalence of Chronic Insomnia (Not Fulfilling DSM-IV Criteria) (%), Ages =15 Years, by Sex, 2013

Figure 11: 7MM, Total Prevalent Cases of Chronic Primary Insomnia, Both Sexes, Ages =15 Years, N, 2013–2023

Figure 12: 7MM, Age-Specific Total Prevalent Cases of Chronic Primary Insomnia, Both Sexes, N, 2013

Figure 13: 7MM, Sex-Specific Total Prevalent Cases of Chronic Primary Insomnia, Ages =15 Years, N, 2013

Figure 14: 7MM, Age-Standardized Total Prevalence of Chronic Primary Insomnia (%), Ages =15 Years, by Sex, 2013

Figure 15: 7MM, Total Prevalent Cases of Chronic Secondary Insomnia, Both Sexes, Ages =15 Years, N, 2013–2023

Figure 16: 7MM, Age-Specific Total Prevalent Cases of Chronic Secondary Insomnia, Both Sexes, N, 2013

Figure 17: 7MM, Sex-Specific Total Prevalent Cases of Chronic Secondary Insomnia, Ages =15 Years, N, 2013

Figure 18: 7MM, Age-Standardized Total Prevalence of Chronic Secondary Insomnia (%), Ages =15 Years, by Sex, 2013

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