Hereditary Angioedema (HAE) – Market Outlook, Epidemiology, Competitive Landscape, and Market Forecast Report – 2021 To 2032


 Hereditary angioedema (HAE) is a genetic disease characterized by the occurrence of transitory and recurrent subcutaneous and/or submucosal edemas resulting in swelling and/or abdominal pain. Three types of HAE have been described.

·       Hereditary Angioedema (HAE) is estimated to affect 1 in 50,000 people. Type I is the most common, accounting for 85 per cent of cases. Type II occurs in 15 per cent of cases, and type III is very rare

Thelansis’s “Hereditary Angioedema (HAE) Market Outlook, Epidemiology, Competitive Landscape, and Market Forecast Report – 2021 To 2032" covers disease overview, epidemiology, drug utilization, prescription share analysis, competitive landscape, clinical practice, regulatory landscape, patient share, market uptake, market forecast, and key market insights under the potential Hereditary Angioedema (HAE) treatment modalities options for eight major markets (USA, Germany, France, Italy, Spain, UK, Japan, and China).

KOLs insights of Hereditary Angioedema (HAE) across the 8 MM market from the centre of Excellence/ Public/ Private hospitals participated in the study. Insights around current treatment landscape, epidemiology, clinical characteristics, future treatment paradigm, and Unmet needs.

Hereditary Angioedema (HAE) Market Forecast Patient Based Forecast Model (MS. Excel Based Automated Dashboard), which Data Inputs with sourcing, Market Event, and Product Event, Country specific Forecast Model, Market uptake and patient share uptake, Attribute Analysis, Analog Analysis, Disease burden, and pricing scenario, Summary, and Insights.

Thelansis Competitive Intelligence (CI) practice has been established based on a deep understanding of the pharma/biotech business environment to provide an optimized support system to all levels of the decision-making process. It enables business leaders in forward-thinking and proactive decision-making. Thelansis supports scientific and commercial teams in seamless CI support by creating an AI/ ML-based technology-driven platform that manages the data flow from primary and secondary sources.

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