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PUBLISHER: GlobalData | PRODUCT CODE: 1635622

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PUBLISHER: GlobalData | PRODUCT CODE: 1635622

Type 1 Diabetes: Seven-Market Drug Forecast and Market Analysis

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PAGES: 144 Pages
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This report covers the 7MM (US, France, Germany, Italy, Spain, UK, Japan) and provides an Excel-based forecast model for the type 1 diabetes market through 2033.

GlobalData estimates sales of T1D therapeutics to be approximately $2.83 billion across the 7MM in 2023. By 2033, GlobalData expects the T1D market to grow at a strong compound annual growth rate (CAGR) of 13.3%, reaching sales of $9.91 billion by the end of the forecast period.

Major drivers of T1D market growth over the forecast period are the -

  • Increase in the prescription of rapid-acting insulins in line with rising use of insulin pumps
  • Launch of several oral and injectable agents, particularly immunomodulatory therapies
  • Increase in the global prevalence of T1D

Major barriers that will restrict the growth of the T1D market during the forecast period are the -

  • High price of certain insulins and immunomodulatory agents
  • Patent expiries allowing for further biosimilar and generic erosion
  • High failure rate of clinical trials developing disease-modifying therapeutics

Scope

  • Overview of type 1 diabetes, including epidemiology, symptoms, diagnosis, and disease management.
  • Annualized type 1 diabetes 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 type 1 diabetes therapeutics market.
  • Pipeline analysis: comprehensive data assessing emerging trends and mechanisms of action under development for type 1 diabetes treatment. The most promising candidates in late-stage development are profiled.
  • Analysis of the current and future market competition in the global type 1 diabetes therapeutics market. Insightful review of the key industry drivers, restraints and challenges. Each trend is independently researched to provide qualitative analysis of its implications.

Reasons to Buy

  • 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 7MM type 1 diabetes therapeutics market.
  • Drive revenues by understanding the key trends, innovative products and technologies, market segments, and companies likely to impact the 7MM 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.
Product Code: GDHC302PIDR-7M

Table of Contents

Table of Contents

1 Type 1 Diabetes: Executive Summary

  • 1.1 Type 1 Diabetes therapeutics market will grow to $9.91 billion by 2033
  • 1.2 T1D market leaders employ diverse strategies to protect insulin franchises from biosimilar threats, while emerging players focus on disease-modifying innovations
  • 1.3 Persistent unmet needs highlight gaps in current and emerging T1D therapies
  • 1.4 The synergistic rise of pumps, CGMs, and ultra-rapid-acting insulins in T1D management
  • 1.5 What do physicians think?

2 Introduction

  • 2.1 Catalyst
  • 2.2 Related reports
  • 2.3 Upcoming reports

3 Disease Overview

  • 3.1 Etiology and pathophysiology
    • 3.1.1 Etiology
    • 3.1.2 Pathophysiology
    • 3.1.3 Biomarkers for monitoring the islet autoreactivity of T1D

4 Epidemiology

  • 4.1 Disease background
  • 4.2 Risk factors and comorbidities
  • 4.3 Global and historical trends
  • 4.4 7MM forecast methodology
    • 4.4.1 Sources
    • 4.4.2 Forecast assumptions and methods
    • 4.4.3 Forecast assumptions and methods: diagnosed prevalent cases of T1D - 7MM
    • 4.4.4 Forecast assumptions and methods: diagnosed prevalent cases of T1D
    • 4.4.5 Diagnosed prevalent cases of T1D segmented by BMI
    • 4.4.6 Diagnosed prevalent cases of T1D that experienced hypoglycemic events
    • 4.4.7 Diagnosed prevalent cases of T1D with brittle diabetes
    • 4.4.8 Diagnosed prevalent cases of T1D that experienced DKA events
    • 4.4.9 Diagnosed prevalent cases of T1D eligible for pancreas transplantation
    • 4.4.10 Diagnosed prevalent cases of T1D with CKD
    • 4.4.11 Diagnosed prevalent cases of T1D with CVD
    • 4.4.12 Diagnosed prevalent cases of T1D with at least one gene encoding for HLA-DQ8
    • 4.4.13 Forecast assumptions and methods: total prevalent cases of T1D
  • 4.5 Epidemiological forecast for T1D (2023-33)
    • 4.5.1 Diagnosed prevalent cases of T1D
    • 4.5.2 Age-specific diagnosed prevalent cases of T1D
    • 4.5.3 Sex-specific diagnosed prevalent cases of T1D
    • 4.5.4 Diagnosed prevalent cases of T1D by BMI category
    • 4.5.5 Diagnosed prevalent cases of T1D that experienced hypoglycemic events
    • 4.5.6 Diagnosed prevalent cases of T1D with brittle diabetes
    • 4.5.7 Diagnosed prevalent cases of T1D that experienced DKA events
    • 4.5.8 Diagnosed prevalent cases of T1D eligible for pancreas transplantation
    • 4.5.9 Diagnosed prevalent cases of T1D with CKD
    • 4.5.10 Diagnosed prevalent cases of T1D with CVD
    • 4.5.11 Diagnosed prevalent cases of T1D with at least one gene encoding for HLA-DQ8
    • 4.5.12 Total prevalent cases of T1D
  • 4.6 Discussion
    • 4.6.1 Epidemiological forecast insight
    • 4.6.2 COVID-19 impact
    • 4.6.3 Limitations of the analysis
    • 4.6.4 Strengths of the analysis

5 Disease Management

  • 5.1 Diagnosis and treatment overview
  • 5.2 US disease management
  • 5.3 5EU disease management
  • 5.4 Japan disease management
  • 5.5 KOL insights on disease management

6 Current Treatment Options

  • 6.1 Overview

7 Unmet Needs and Opportunity Assessment

  • 7.1 Overview
  • 7.2 Urgent need for disease-modifying therapies
  • 7.3 Avoiding hypoglycemic episodes and optimising glycemic control
  • 7.4 Improving compliance and reducing the burden of insulin therapy
  • 7.5 High financial cost of T1D management

8 R&D Strategies

  • 8.1 Overview
    • 8.1.1 Immunomodulatory therapies: addressing autoimmune pathogenesis
    • 8.1.2 Advanced drug delivery systems and glucose-responsive insulins
    • 8.1.3 Regenerative medicine: pursuing curative therapies
  • 8.2 Clinical trials design
    • 8.2.1 Study design - adaptive clinical trials and comprehensive frameworks
    • 8.2.2 Digital health integration
    • 8.2.3 Model-based simulations

9 Pipeline Assessment

  • 9.1 Overview
  • 9.2 Promising drugs in clinical development

10 Pipeline Valuation Analysis

  • 10.1 Overview
  • 10.2 Competitive assessment
    • 10.2.1 Insulin therapies
    • 10.2.2 Non-insulin therapies

11 Current and Future Players

  • 11.1 Overview
  • 11.2 Deal-making trends

12 Market Outlook

  • 12.1 Global markets
    • 12.1.1 Forecast
    • 12.1.2 Drivers and barriers - global issues
  • 12.2 US
    • 12.2.1 Forecast
    • 12.2.2 Key events
    • 12.2.3 Drivers and barriers
  • 12.3 EU
    • 12.3.1 Forecast
    • 12.3.2 Key events
    • 12.3.3 Drivers and barriers
  • 12.4 Japan
    • 12.4.1 Forecast
    • 12.4.2 Key events
    • 12.4.3 Drivers and barriers

13 Appendix

  • 13.1 Bibliography
  • 13.2 Abbreviations
  • 13.3 Methodology
    • 13.3.1 Forecasting methodology
  • 13.4 Primary research - KOLs interviewed for this report
    • 13.4.1 KOLs
  • 13.5 Primary research - prescriber survey
  • 13.6 About the authors
    • 13.6.1 Analyst
    • 13.6.2 Therapy Area Director
    • 13.6.3 Vice President of Disease Intelligence and Epidemiology
    • 13.6.4 Global Head of Pharma Research, Analysis, and Competitive Intelligence
  • About GlobalData
  • Contact Us
Product Code: GDHC302PIDR-7M

List of Tables

  • Table 1: Type 1 Diabetes: key metrics in the 7MM
  • Table 2: Symptoms of T1D
  • Table 3: Diagnostic tests commonly used for T1D
  • Table 4: Risk factors and comorbidities for T1D
  • Table 5: Diagnostic tests and typical criteria for diagnosing T1D
  • Table 6: Treatment guidelines for T1D
  • Table 7: Top 10 deals by value, 2019-24
  • Table 8: T1D market - global drivers and barriers, 2023-33
  • Table 9: Key events impacting sales for T1D in the US, 2023-33
  • Table 10: T1D market - drivers and barriers in the US, 2023-33
  • Table 11: Key events impacting sales for T1D in the 5EU, 2023-33
  • Table 12: T1D market - drivers and barriers in the 5EU, 2023-33
  • Table 13: Key events impacting sales for T1D in Japan, 2023-33
  • Table 14: T1D market - drivers and barriers in Japan, 2023-33
  • Table 15: High-prescribing physicians (non-KOLs) surveyed, by country

List of Figures

  • Figure 1: Global sales forecast by country for T1D in 2023 and 2033
  • Figure 2: Analysis of the company portfolio gap in T1D during the forecast period
  • Figure 3: Competitive assessment of the late-stage insulin and non-insulin treatments that GlobalData expects to be licensed for the treatment of T1D during the forecast period
  • Figure 4: Etiology of T1D
  • Figure 5: Pathophysiology of T1D
  • Figure 6: 7MM, diagnosed prevalence of T1D, men and women, %, all ages, 2023
  • Figure 7: 7MM, total prevalence of T1D, men and women, %, all ages, 2023
  • Figure 8: 7MM, sources used and not used to forecast the diagnosed prevalent cases of T1D
  • Figure 9: 7MM, sources used to forecast the diagnosed prevalent cases of T1D segmented by BMI category
  • Figure 10: 7MM, sources used and not used to forecast the diagnosed prevalent cases of T1D that experienced hypoglycemia
  • Figure 11: 7MM, source used to forecast the diagnosed prevalent cases of T1D with brittle diabetes
  • Figure 12: 7MM, sources used and not used to forecast the diagnosed prevalent cases of T1D that experienced DKA
  • Figure 13: 7MM, sources used to forecast the diagnosed prevalent cases of T1D that are eligible for a pancreas transplant
  • Figure 14: 7MM, sources used and not used to forecast the diagnosed prevalent cases of T1D with CKD
  • Figure 15: 7MM, sources used and not used to forecast the diagnosed prevalent cases of T1D with CVD
  • Figure 16: 7MM, sources used to forecast the diagnosed prevalent cases of T1D with at least one gene encoding for HLA-DQ8
  • Figure 17: 7MM, sources used to forecast the total prevalent cases of T1D
  • Figure 18: 7MM, diagnosed prevalent cases of T1D, N, both sexes, all ages, 2023
  • Figure 19: 7MM, diagnosed prevalent cases of T1D by age, N, both sexes, 2023
  • Figure 20: 7MM, diagnosed prevalent cases of T1D by sex, N, all ages, 2023
  • Figure 21: 7MM, diagnosed prevalent cases of T1D by BMI category, N, both sexes, all ages, 2023
  • Figure 22: 7MM, diagnosed prevalent cases of T1D that experienced hypoglycemic events, N, both sexes, all ages, 2023
  • Figure 23: 7MM, diagnosed prevalent cases of T1D with brittle diabetes, N, both sexes, all ages, 2023
  • Figure 24: 7MM, diagnosed prevalent cases of T1D that experienced DKA, N, both sexes, all ages, 2023
  • Figure 25: 7MM, diagnosed prevalent cases of T1D eligible for pancreas transplantation, N, both sexes, >=20 years,
  • Figure 26: 7MM, diagnosed prevalent cases of T1D with CKD, N, both sexes, all ages, 2023
  • Figure 27: 7MM, diagnosed prevalent cases of T1D with CVD, N, both sexes, all ages, 2023
  • Figure 28: 7MM, diagnosed prevalent cases of T1D with at least one gene encoding for HLA-DQ8, N, both sexes, all ages, 2023
  • Figure 29: 7MM, total prevalent cases of T1D, N, both sexes, all ages, 2023
  • Figure 30: Disease management flow chart
  • Figure 31: Unmet needs and opportunities in T1D
  • Figure 32: Overview of the development pipeline in T1D
  • Figure 33: Key late-stage trials for the promising pipeline agents that GlobalData expects to be licensed for T1D in the 7MM during the forecast period
  • Figure 34: Competitive assessment of the pipeline insulin therapies benchmarked against the standard of care (SOC), Novolog (insulin aspart)
  • Figure 35: Competitive assessment of the pipeline non-insulin therapies benchmarked against the standard of care (SOC), Tzield (teplizumab)
  • Figure 36: Analysis of the company portfolio gap in T1D during the forecast period
  • Figure 37: Global (7MM) sales forecast by country for T1D in 2023 and 2033
  • Figure 38: Sales forecast by class for T1D in the US in 2023 and 2033
  • Figure 39: Sales forecast by class for T1D in the 5EU in 2023 and 2033
  • Figure 40: Sales forecast by class for T1D in Japan in 2023 and 2033
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