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Overweight and Obesity: Epidemiology Report and Forecast

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    Report

  • 62 Pages
  • June 2026
  • Region: Global
  • GlobalData
  • ID: 6262345
Obesity is a chronic disease characterized by the accumulation of excess body fat. Individuals living with obesity may undergo metabolic dysfunction on account of excess adipose tissue. The diagnostic criteria for obesity are met by a body mass index (BMI) of 30kg/m2 or more (NIH, 2022a). This can lead to a state of chronic systemic inflammation, as well as a predisposition to comorbidities such as diabetes and cardiovascular disease. Clinical interventions aim to manage obesity by encouraging patient behavioral change, though cases with a BMI of 35kg/m2 or above may warrant bariatric surgery, particularly in the presence of comorbidities (NIH, 2022b).

Obesity onset is largely driven by behavior. The widening prevalence of obesogenic diets and sedentary lifestyles, both of which may lead to excess caloric intake, leads to an accumulation of body fat. Medical conditions, medications, and genetic factors that disrupt metabolism and endocrine function may predispose certain individuals to gain weight as well (NIH, 2022c).

Scope

  • This report provides an overview of the risk factors, comorbidities, and the global and historical epidemiological trends for overweight and obesity in the seven major markets (7MM: US, France, Germany, Italy, Spain, UK, and Japan).
  • The report includes a 10-year epidemiology forecast for the diagnosed and total prevalent cases of overweight and obesity. The diagnosed and total prevalent cases of overweight and obesity are segmented by age (5 years and older) and sex. They are further segmented by BMI into overweight classes I and II, as well as obesity classes I, II, and III. This epidemiology forecast for obesity is supported by data obtained from peer-reviewed articles and population-based studies. The forecast methodology was kept consistent across the 7MM to allow for a meaningful comparison of the forecast diagnosed prevalent cases of obesity across these markets.

Reasons to Buy

The Overweight and Obesity Epidemiology series will allow you to:

  • Develop business strategies by understanding the trends shaping and driving the global overweight and obesity markets.
  • Quantify patient populations in the global overweight and obesity 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 overweight and obesity therapeutics in each of the markets covered.
  • Understand magnitude of the overweight and obesity population by age, sex, BMI class, and comorbidity.

Table of Contents

1 Executive Summary
1.1 Catalyst
1.2 Related reports
1.3 Upcoming reports
2 Epidemiology
2.1 Disease background
2.2 Risk factors and comorbidities
2.3 Global and historical trends
2.4 8MM forecast methodology
2.4.1 Sources
2.4.2 Forecast assumptions and methods
2.4.3 Forecast assumptions and methods: diagnosed incident cases of acute hepatitis C
2.4.4 Forecast assumptions and methods: diagnosed incident cases of acute hepatitis C by genotype, diagnosed prevalent cases of chronic hepatitis C by genotype
2.4.5 Forecast assumptions and methods: diagnosed incident cases of acute hepatitis C that have been treated
2.4.6 Forecast assumptions and methods: estimated incident cases of acute hepatitis C
2.4.7 Forecast assumptions and methods: total prevalent cases of chronic hepatitis C
2.4.8 Forecast assumptions and methods: diagnosed prevalent cases of chronic hepatitis C
2.4.9 Forecast assumptions and methods: diagnosed prevalent cases of chronic hepatitis C by cirrhosis status
2.4.10 Forecast assumptions and methods: diagnosed prevalent cases of chronic hepatitis C by coinfection
2.4.11 Forecast assumptions and methods: diagnosed prevalent cases of chronic hepatitis C that have been treated
2.5 Epidemiological forecast for hepatitis C (2025-35)
2.5.1 Diagnosed incident cases of acute hepatitis C
2.5.2 Age-specific diagnosed incident cases of acute hepatitis C
2.5.3 Sex-specific diagnosed incident cases of acute hepatitis C
2.5.4 Diagnosed incident cases of acute hepatitis C by genotype
2.5.5 Diagnosed incident cases of acute hepatitis C that have been treated
2.5.6 Estimated incident cases of acute hepatitis C
2.5.7 Total prevalent cases of chronic hepatitis C
2.5.8 Age-specific total prevalent cases of chronic hepatitis C
2.5.9 Sex-specific total prevalent cases of chronic hepatitis C
2.5.10 Diagnosed prevalent cases of chronic hepatitis C
2.5.11 Age-specific diagnosed prevalent cases of chronic hepatitis C
2.5.12 Sex-specific diagnosed prevalent cases of chronic hepatitis C
2.5.13 Diagnosed prevalent cases of chronic hepatitis C by genotype
2.5.14 Diagnosed prevalent cases of chronic hepatitis C by cirrhosis status
2.5.15 Diagnosed prevalent cases of chronic hepatitis C by coinfection
2.5.16 Diagnosed prevalent cases of chronic hepatitis C that have been treated
2.6 Discussion
2.6.1 Epidemiological forecast insight
2.6.2 Limitations of the analysis
2.6.3 Strengths of the analysis
3 Appendix
3.1 Bibliography
3.2 Primary research - high-prescriber survey
3.3 About the Authors
3.3.1 Epidemiologist
3.3.2 Reviewers
3.3.3 Vice President of Disease Intelligence and Epidemiology
3.3.4 Global Head of Pharma Research, Analysis, and Competitive Intelligence
  • About the Analyst
  • Contact the Publisher
Table 1: Summary of newly added data types
Table 2: Summary of updated data types
Table 3: HCV genotypes and subtypes
Table 4: Risk factors and comorbidities for hepatitis C
Table 5: High-prescribing physicians surveyed, by country
Figure 1: 8MM, diagnosed incident cases of acute hepatitis C, men and women, N, ages =3 years, 2025 and 2035
Figure 2: 8MM, diagnosed prevalent cases of chronic hepatitis C, men and women, N, ages =3 years, 2025 and 2035
Figure 3: 8MM, diagnosed incidence of acute hepatitis C, men and women, cases per 100,000 population, ages =3 years, 2015-35
Figure 4: 8MM, diagnosed prevalence of chronic hepatitis C, men and women, %, ages =3 years, 2015-35
Figure 5: 8MM, sources used and not used to forecast the diagnosed incident cases of acute hepatitis C
Figure 6: 8MM, sources used and not used to forecast the diagnosed incident cases of acute hepatitis C by genotype, and diagnosed prevalent cases of chronic hepatitis C by genotype
Figure 7: 8MM, sources used to forecast the estimated incident cases of acute hepatitis C
Figure 8: 8MM, sources used and not used to forecast the diagnosed prevalent cases of chronic hepatitis C, and the total prevalent cases of chronic hepatitis C
Figure 9: 8MM, sources used to forecast the diagnosed prevalent cases of chronic hepatitis C by cirrhosis status
Figure 10: 8MM, sources used to forecast the diagnosed prevalent cases of chronic hepatitis C by coinfection
Figure 11: 8MM, diagnosed incident cases of acute hepatitis C, N, men and women, ages =3 years, 2025
Figure 12: 8MM, diagnosed incident cases of acute hepatitis C by age, N, men and women, 2025
Figure 13: 8MM, diagnosed incident cases of acute hepatitis C by sex, N, ages =3 years, 2025
Figure 14: 8MM, diagnosed incident cases of acute hepatitis C by genotype, N, men and women, ages =3 years, 2025
Figure 15: 8MM, diagnosed incident cases of acute hepatitis C that had been treated, N, men and women, ages =3 years, 2025
Figure 16: 8MM, estimated incident cases of acute hepatitis C, N, men and women, ages =3 years, 2025
Figure 17: 8MM, total prevalent cases of chronic hepatitis C, N, men and women, ages =3 years, 2025
Figure 18: 8MM, total prevalent cases of chronic hepatitis C by age, N, men and women, 2025
Figure 19: 8MM, total prevalent cases of chronic hepatitis C by sex, N, =3 years, 2025
Figure 20: 8MM, diagnosed prevalent cases of chronic hepatitis C, N, men and women, ages =3 years, 2025
Figure 21: 8MM, diagnosed prevalent cases of chronic hepatitis C by age, N, men and women, 2025
Figure 22: 8MM, diagnosed prevalent cases of chronic hepatitis C by sex, N, ages =3 years, 2025
Figure 23: 8MM, diagnosed prevalent cases of chronic hepatitis C by genotype, N, men and women, ages =3 years, 2025
Figure 24: 8MM, diagnosed prevalent cases of chronic hepatitis C by cirrhosis status, N, men and women, ages =3 years, 2025
Figure 25: 8MM, diagnosed prevalent cases of chronic hepatitis C by coinfection, N, men and women, ages =3 years, 2025
Figure 26: 8MM, diagnosed prevalent cases of chronic hepatitis C that have been treated, N, men and women, ages =3 years, 2025