Dry Eye Syndrome – Epidemiology Forecast to 2028

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Dry eye syndrome (DES), also known as keratoconjunctivitis sicca (KCS), is a multi-factorial disease of the eye characterized by dryness, decreased tear production, or increased tear film evaporation. Patients with DES experience symptoms of discomfort, such as visual disturbance and tear film instability (Lemp and Foulks, 2007). Middle-aged and elderly people are most commonly affected because of the high prevalence of contact lens usage, systemic drug effects, autoimmune diseases, and refractive surgeries (Toda et al., 2001; Schaumberg, Sullivan and Dana, 2002; Glasson et al., 2003; Schaumberg et al., 2003).

GlobalData epidemiologists utilized historical data obtained from peer-reviewed articles and reports to build the forecast for the total and the diagnosed prevalent cases of DES in the 9MM. GlobalData epidemiologists applied the prevalence of DES drawn from the above sources to each country’s population to calculate the number of estimated diagnosed prevalent cases for DES.

The following data describes the epidemiology of DES. In the 9MM, GlobalData epidemiologists forecast an increase in the diagnosed prevalent cases of DES from 144,962,089 cases in 2018 to 162,461,992 cases in 2028, at an Annual Growth Rate (AGR) of 1.21%. In 2028, China will have the highest number of diagnosed prevalent cases of DES in the 9MM, with 61,680,272 diagnosed prevalent cases, and whereas Spain will have the fewest diagnosed prevalent cases with 1,855,079 cases. In the 9MM, the total prevalent cases of DES are expected to increase from 417,103,544 cases in 2018 to 466,531,434 cases in 2028, at an AGR of 1.19%.

Scope

The Dry Eye Syndrome Epidemiology Report and Model provide an overview of the risk factors and global trends of Dry Eye Syndrome(DES) in the nine major markets (9MM: US, France, Germany, Italy, Spain, UK, Japan, China, and India).

The report includes a 10-year epidemiology forecast for the diagnosed prevalent and total prevalent cases (including both diagnosed and undiagnosed cases) of DES. The diagnosed prevalent cases of DES are segmented by sex, severity (mild, moderate, and severe), and age (18 years and older). The total prevalent cases of DES are segmented by severity (mild, moderate, and severe). The model provides additional segmentations of total prevalent cases of DES by age and sex.

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

• The Epidemiology Report is in-depth, high quality, transparent and market-driven, providing expert analysis of disease trends in the 9MM.

• The Epidemiology 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

The DES Epidemiology series will allow you to:

Develop business strategies by understanding the trends shaping and driving the global DES markets.

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

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

Understand magnitude of DES population by its severity.

Table of Contents

1 Table of Contents

1.1 List of Tables

1.2 List of Figures

2 Dry Eye Syndrome: Executive Summary

2.1 Catalyst

2.2 Related Reports

2.3 Upcoming Reports

3 Epidemiology

3.1 Disease Background

3.2 Risk Factors and Comorbidities

3.3 Global and Historical Trends

3.4 Forecast Methodology

3.4.1 Sources Used

3.4.2 Forecast Assumptions and Methods

3.4.3 Forecast Assumptions and Methods – Total and Diagnosed Prevalent Cases of DES

3.4.4 Forecast Assumptions and Methods – Total and Diagnosed Prevalent Cases of DES by Severity

3.5 Epidemiological Forecast for DES (2018–2028)

3.5.1 Diagnosed Prevalent Cases of DES

3.5.2 Age-Specific Diagnosed Prevalent Cases of DES

3.5.3 Sex-Specific Diagnosed Prevalent Cases of DES

3.5.4 Diagnosed Prevalent Cases of DES by Severity

3.5.5 Total Prevalent Cases of DES

3.5.6 Total Prevalent Cases of DES by Severity

3.6 Discussion

3.6.1 Epidemiological Forecast Insight

3.6.2 Limitations of the Analysis

3.6.3 Strengths of the Analysis

4 Appendix

4.1 Bibliography

4.2 About the Authors

4.2.1 Epidemiologist

4.2.2 Reviewers

4.2.3 Global Director of Therapy Analysis and Epidemiology

4.2.4 Global Head and EVP of Healthcare Operations and Strategy

4.3 About GlobalData

4.4 Contact Us

4.5 Disclaimer

Table

Table 1: Summary of Newly Added Data Types

Table 2: Summary of Updated Data Types

Table 3: Risk Factors and Comorbidities for DES

Figures

Figure 1: 9MM, Diagnosed Prevalent Cases of DES, Both Sexes, N, Ages ≥18 Years, 2018 and 2028

Figure 2: 9MM, Total Prevalent Cases of DES, Both Sexes, N, Ages ≥18 Years, 2018 and 2028

Figure 3: 9MM, Diagnosed Prevalence of DES, Men and Women, %, Ages ≥18 Years, 2018

Figure 4: 9MM, Total Prevalence of DES, Men and Women, %, Ages ≥18 Years, 2018

Figure 5: 9MM, Sources Used and Not Used to Forecast the Diagnosed Prevalent Cases of DES

Figure 6: 9MM, Sources Used and Not Used to Forecast the Total Prevalent Cases of DES

Figure 7: 9MM, Sources Used to Forecast the Severity of Diagnosed Prevalent Cases of DES

Figure 8: 9MM, Sources Used to Forecast the Severity of Total Prevalent Cases of DES

Figure 9: 9MM, Diagnosed Prevalent Cases of DES, N, Both Sexes, Ages ≥18 Years, 2018

Figure 10: 9MM, Diagnosed Prevalent Cases of DES by Age, N, Both Sexes, 2018

Figure 11: 9MM, Diagnosed Prevalent Cases of DES by Sex, N, Ages ≥18 Years, 2018

Figure 12: 9MM, Diagnosed Prevalent Cases of DES by Severity, N, Ages ≥18 Years, 2018

Figure 13: 9MM, Total Prevalent Cases of DES, N, Both Sexes, Ages ≥18 Years, 2018

Figure 14: 9MM, Total Prevalent Cases of DES by Severity, N, Ages ≥18 Years, 2018

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