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Food Allergy – Epidemiology Forecast—2034

Published Date : 2025
Pages : 72
Region : United States, Japan, EU4 & UK
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food allergy epidemiology forecast insight

DelveInsight’s ‘Food Allergy (FA)–Epidemiology Forecast—2034’ report delivers an in-depth understanding of the Food Allergy (FA), historical and forecasted epidemiology in the United States, EU5 (Germany, Spain, Italy, France, and the United Kingdom), and Japan.

Geography Covered

  • The United States
  • EU5 (Germany, France, Italy, Spain, and the United Kingdom)
  • Japan

Study Period: 2021-2034

Food Allergy (FA) Disease Understanding

Food Allergy (FA) is an adverse health effect arising from a specific immune response that occurs reproducibly on exposure to a given food. Food allergens are the parts of food or ingredients within food (usually proteins) that are recognized by immune cells. When an immune cell binds to a food allergen, a reaction occurs that causes the symptoms of Food Allergy (FA). “Allergy” and “allergic disease” refer to conditions that involve changes to the immune system.

 

These immune system changes fall into two categories: Immunoglobulin E (IgE) mediated and Non-IgE-mediated.

 

The symptoms of food allergies range from mild discomfort to severe, life-threatening reactions, which require immediate medical intervention. Symptoms may be triggered in the skin (itching, redness, swelling), gastrointestinal tract (pain, vomiting, diarrhoea, itching and swelling of oral cavity), respiratory tract (itching and swelling of the nose and throat, asthma), eyes (itching and swelling), and/or cardiovascular system (e.g. chest pain, abnormal heart rhythm).

 

Diagnosis of a Food Allergy (FA) relies on patient history and physical exam. The most common diagnosis method for Food Allergy (FA) according to World Allergy Organization (WAO) include Skin prick tests (SPT), which is the preferred testing method in those patients with a history compatible with food allergies; double blind placebo-controlled food challenge (DBPCFC), which is the preferred test to diagnose Food Allergy (FA); the in vitro diagnostics can help to identify cross-reactive allergens between pollen and foods, or foods and latex, and the atopy patch test (APT) is an epicutaneous skin test in which allergens commonly associated with IgE reactions can be used.

 

The treatment of Food Allergy (FA) relies on avoidance of the foods to which an individual is allergic, as therapeutic intervention (tertiary prevention) in patients with Food Allergy (FA). Unfortunately, severe reactions such as anaphylaxis may occur despite best efforts in avoidance. Epinephrine is the first-line medication for the treatment of anaphylaxis

Food Allergy (FA) Epidemiology

The Food Allergy (FA) epidemiology division provides insights about the historical and current patient pool along with the forecasted trend for every seven major countries. It helps recognize the causes of current and forecasted trends by exploring numerous studies and views of key opinion leaders. This part of the DelveInsight report also provides the diagnosed patient pool and their trends along with assumptions undertaken.

 

Key Findings

The disease epidemiology covered in the report provides historical as well as forecasted Food Allergy (FA) epidemiology segmented as the Prevalence of Food Allergy (FA), Prevalence of Food Allergy (FA) based on Etiology-specific Factors, Age-specific Prevalence of Food Allergy (FA). The report includes the Prevalent scenario of Food Allergy (FA) in 7MM covering the United States, EU5 countries (Germany, France, Italy, Spain, and the United Kingdom), and Japan from 2021 to 2034.

Country Wise- Food Allergy (FA) Epidemiology

The epidemiology segment also provides the Food Allergy (FA) epidemiology data and findings across the United States, EU5 (Germany, France, Italy, Spain, and the United Kingdom), and Japan.

  • The total prevalent population of Food Allergy (FA) associated in 7MM countries was estimated to be 56,849,000 cases in 2020 and expected to increase at a CAGR of 0.40% for the study period, i.e., 2021-2034.
  • As per the estimates, United States has the highest prevalent population of Food Allergy (FA) in 7MM.
  • Among the EU5 countries, Spain had the highest prevalent population of Food Allergy (FA). On the other hand, UK had the lowest number of case, 2,015,000 cases in 2020.

Scope of the Report

  • Food Allergy (FA) report covers a detailed overview explaining its causes, symptoms, classification, pathophysiology, diagnosis, and treatment patterns
  • Food Allergy (FA) Epidemiology Report and Model provide an overview of the risk factors and global trends of Food Allergy (FA) in the seven major markets (7MM: US, France, Germany, Italy, Spain, UK, and Japan)
  • The report provides insight into the historical and forecasted patient pool of Food Allergy (FA) in seven major markets covering the United States, EU5 (Germany, Spain, France, Italy, UK), and Japan
  • The report helps recognize the growth opportunities in the 7MM concerning the patient population
  • The report assesses the disease risk and burden and highlights the unmet needs of Food Allergy (FA)
  • The report provides the segmentation of the Food Allergy (FA) epidemiology by prevalent Cases of Food Allergy (FA) in 7MM
  • The report provides the segmentation of the Food Allergy (FA) epidemiology by Prevalence of Food Allergy (FA), Prevalence of Food Allergy (FA) based on Etiology specific factors, Age-specific cases of Food Allergy (FA) in 7MM

Report Highlights

  • 10-year Forecast of Food Allergy (FA) epidemiology
  • 7MM Coverage
  • Total Prevalent Cases of Food Allergy (FA)
  • Prevalent Cases of Food Allergy (FA) based on Etiology-specific Factors
  • Gender-specific Prevalence of Food Allergy (FA)

KOL Views

We interview KOLs, and SME’s opinion through primary research to fill the data gaps and validate our secondary research. The opinion helps understand the total patient population and current treatment pattern. This will support the clients in potential upcoming novel treatment by identifying the overall scenario of the indications.

Key Questions Answered

  • What will be the growth opportunities in the 7MM concerning the patient population about Food Allergy (FA)?
  • What are the key Findings of Food Allergy (FA) epidemiology across 7MM, and which country will have the highest number of patients during the forecast period (2025-2034)?
  • What would be the total number of patients with Food Allergy (FA) across the 7MM during the forecast period (2025-2034)?
  • Among the EU5 countries, which country will have the highest number of patients during the forecast period (2025-2034)?
  • At what CAGR the patient population is expected to grow by 7MM during the forecast period (2025-2034)?
  • What are the disease risk, burden, and unmet needs of Food Allergy (FA)?
  • What are the currently available treatments for Food Allergy (FA)?

Reasons to buy

The Food Allergy (FA) Epidemiology report will allow the user to -

  • Develop business strategies by understanding the trends shaping and driving the global Food Allergy (FA) market
  • Quantify patient populations in the global Food Allergy (FA) market 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 Food Allergy (FA) therapeutics in each of the markets covered
  • Understand the magnitude of Food Allergy (FA) population by its prevalent cases
  • Understand the magnitude of Food Allergy (FA) population by its clinical manifestation specific cases
  • The Food Allergy (FA) epidemiology report and model was written and developed by Masters and PhD level epidemiologists
  • The Food Allergy (FA) Epidemiology Model developed by DelveInsight is easy to navigate, interactive with dashboards, and epidemiology based on 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

Key Assessments

  • Patient Segmentation
  • Disease Risk and Burden
  • Risk of disease by the segmentation
  • Factors driving growth in a specific patient population

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