
Type 1 Diabetes: 68-Market Analysis and Sales Forecast
Description
Type 1 Diabetes: 68-Market Analysis and Sales Forecast
Summary
This report covers the 68 geographical markets and provides an Excel-based forecast model for the type 1 diabetes market from 2023-2033.
This publication is an expanded version of the Excel model containing the patient-based forecast (PBF) sales for type 1 diabetes, covered in GlobalData’s report “Type 1 Diabetes: Seven-Market Drug Forecast and Market Analysis”, published in January 2025. In addition to PBF sales data for the seven major markets (7MM: US, France, Germany, Italy, Spain, UK, and Japan), this report contains sales forecast extrapolations for an additional 61 geographical markets (61M), totaling 68 markets (68M). These sales forecast extrapolations leverage data on pharmaceutical sales and drug availability from GlobalData’s World Markets Healthcare and POLI Price Intelligence databases. For more information on the methodology and assumptions used in GlobalData’s forecast extrapolations, please refer to the Methodology and Assumptions tabs in the Excel model for this report.
Scope
Summary
This report covers the 68 geographical markets and provides an Excel-based forecast model for the type 1 diabetes market from 2023-2033.
This publication is an expanded version of the Excel model containing the patient-based forecast (PBF) sales for type 1 diabetes, covered in GlobalData’s report “Type 1 Diabetes: Seven-Market Drug Forecast and Market Analysis”, published in January 2025. In addition to PBF sales data for the seven major markets (7MM: US, France, Germany, Italy, Spain, UK, and Japan), this report contains sales forecast extrapolations for an additional 61 geographical markets (61M), totaling 68 markets (68M). These sales forecast extrapolations leverage data on pharmaceutical sales and drug availability from GlobalData’s World Markets Healthcare and POLI Price Intelligence databases. For more information on the methodology and assumptions used in GlobalData’s forecast extrapolations, please refer to the Methodology and Assumptions tabs in the Excel model for this report.
Scope
- Overview of type 1 diabetes, including epidemiology, symptoms, diagnosis, and disease management.
- Annualized glaucoma therapeutics market revenue, cost of therapy per patient, and treatment usage patterns forecast from 2023 to 2033.
- Key topics covered include strategic competitor assessment, market characterization, unmet needs, clinical trial mapping, and implications of these factors for the glaucoma therapeutics market.
- Pipeline analysis: comprehensive data assessing emerging trends and mechanisms of action under development for glaucoma treatment. The most promising candidates in late-stage development are profiled.
- Analysis of the current and future market competition in the global glaucoma therapeutics market. Insightful review of the key industry drivers, restraints and challenges. Each trend is independently researched to provide qualitative analysis of its implications.
- Develop and design your in-licensing and out-licensing strategies through a review of pipeline products and technologies, and by identifying the companies with the most robust pipeline.
- Develop business strategies by understanding the trends shaping and driving the 68MM type 1 diabetes therapeutics market.
- Drive revenues by understanding the key trends, innovative products and technologies, market segments, and companies likely to impact the 68MM type 1 diabetes therapeutics market in the future.
- Formulate effective sales and marketing strategies by understanding the competitive landscape and by analyzing the performance of various competitors.
- Identify emerging players with potentially strong product portfolios and create effective counter-strategies to gain a competitive advantage.
- Organize your sales and marketing efforts by identifying the market categories and segments that present maximum opportunities for consolidations, investments and strategic partnerships.
Table of Contents
17 Pages
- Table of Contents
- 1 Executive Summary
- 1.1 Overview
- 1.2 68M summary statistics
- 1.3 Key 7MM events driving the 68M forecast extrapolation
- 2 Appendix
- 2.1 Abbreviations
- 2.2 Methodology
- 2.2.1 Patient-based forecast methodology
- 2.2.2 68M forecast extrapolation methodology
- 2.3 Primary research - key opinion leaders and payers interviewed for this report
- 2.3.1 Key opinion leaders
- 2.4 Primary research - prescriber survey
- 2.5 About the authors
- 2.5.1 Analyst
- 2.5.2 Therapy area directors
- 2.5.3 Vice President of Disease Intelligence and Epidemiology
- 2.5.4 Global Head and EVP of Healthcare Operations and Strategy
- About GlobalData
- Contact Us
- List of Tables
- Table 1: Type 1 diabetes market size across the 68M - 7MM versus 61M
- Table 2: Type 1 diabetes market size across the 68M - by geographical region
- Table 3: Type 1 diabetes, key events occurring in the 7MM driving forecast trajectory in the 68M
- Table 4: High-prescribing physicians (non-KOLs) surveyed, by country
- List of Figures
- Figure 1: 7MM, total prevalent cases of HIV, both sexes, N, all ages, 2023 and 2033
- Figure 2: 7MM, diagnosed prevalent cases of HIV, both sexes, N, all ages, 2023 and 2033
- Figure 3: 7MM, diagnosed incident cases of HIV, both sexes, N, all ages, 2023 and 2033
- Figure 4: 7MM, total prevalence of HIV, both sexes, %, all ages, 2013-33
- Figure 5: 7MM, diagnosed prevalence of HIV, both sexes, %, all ages, 2013-33
- Figure 6: 7MM, diagnosed incidence of HIV, both sexes, %, all ages, 2013-33
- Figure 7: 7MM, sources used to forecast the total prevalent cases of HIV
- Figure 8: 7MM, sources used to forecast the diagnosed prevalent cases of HIV
- Figure 9: 7MM, sources used to forecast the diagnosed prevalent cases of HIV with HBV or HCV coinfection
- Figure 10: 7MM, sources used to forecast the diagnosed prevalent cases of HIV on ART
- Figure 11: 7MM, sources used to forecast the diagnosed incident cases of HIV in the 7MM
- Figure 12: 7MM, sources used to forecast the population on PrEP in the 7MM
- Figure 13: 7MM, sources used to forecast the PEP coverage in the 7MM
- Figure 14: 7MM, total prevalent cases of HIV, N, both sexes, all ages, 2023
- Figure 15: 7MM, diagnosed prevalent cases of HIV, N, both sexes, all ages, 2023
- Figure 16: 7MM, diagnosed prevalent cases of HIV by age, N, both sexes, 2023
- Figure 17: 7MM, diagnosed prevalent cases of HIV by sex, N, all ages, 2023
- Figure 18: 7MM, diagnosed prevalent cases of HIV with HBV/HCV coinfection, N, both sexes, all ages, 2023
- Figure 19: 7MM, diagnosed prevalent cases of HIV on ART, N, both sexes, all ages, 2023
- Figure 20: 7MM, diagnosed incident cases of HIV, N, both sexes, all ages, 2023
- Figure 21: 7MM, diagnosed incident cases by age, N, both sexes, 2023
- Figure 22: 7MM, diagnosed incident cases of HIV by sex, all ages, 2023
- Figure 23: 7MM, prophylactic population on PrEP, N, both sexes, all ages, 2023
- Figure 24: 7MM, prophylactic population on PEP, N, both sexes, all ages, 2023
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