Dry Age-related Macular Degeneration - Epidemiology Forecast - 2036

Published Date : 2026
Pages : 122
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Dry Age-related Macular Degeneration Epidemiology

Dry Age-related Macular Degeneration (AMD) Insights and Trends

  • Dry AMD may advance to geographic atrophy, resulting in irreversible vision loss due to the depletion of retinal pigment epithelium (RPE), photoreceptors, and choriocapillaris in the macula.
  • Early diagnosis, regular monitoring, and lifestyle modifications remain critical in the comprehensive management of dry AMD.
  • In 2025, the total number of prevalent cases of geographic atrophy was ~831,100 in the US. These cases are projected to increase by 2036.
  • In the US, the total age-specific cases of geographic atrophy were the highest in the age group 85+ years followed by  65-84 years and ≤64 years age group in 2025.
  • Early-stage dry AMD is frequently underdiagnosed because patients are often asymptomatic or present with subtle visual changes that may go unnoticed, leading to delayed detection despite the availability of advanced imaging tools such as OCT.
  • There is a significant unmet need for standardized, large-scale screening programs and accessible diagnostic infrastructure, particularly in emerging markets, to enable early identification and monitoring of disease progression before irreversible vision loss occurs.

Dry Age-related Macular Degeneration (AMD) Epidemiology Forecast in the US

  • 2025 Prevalent Cases of Dry AMD: ~68,164,000
  • Dry AMD Growth Rate (2026–2036): ~2.5% CAGR

DelveInsight's ‘Dry Age-related Macular Degeneration (AMD) Epidemiology Forecast – 2036’ report delivers an in-depth understanding of the dry AMD, historical and forecasted epidemiology, in the United States, EU4 (Germany, Spain, Italy, and France) and the United Kingdom, and Japan.

Study Period

2022–2036

Historical Year

2022–2025

Forecast Period

2026–2036

Base Year

2026

Geographies Covered

  • North America : The US;

  • Europe: Germany, France, Italy, and Spain and the UK;

  • Asia-Pacific: Japan

Dry Age-related Macular Degeneration (AMD) Epidemiology CAGR

(Forecast period)

~2.5% (2026–2036)

Dry Age-related Macular Degeneration (AMD) Epidemiology Segmentation Analysis

Patient Burden Assessment

  • Total Prevalent Cases of AMD

  • Stage-specific Prevalent Cases of AMD

  • Total Prevalent Cases of Geographic Atrophy

  • Total Prevalent Cases of Dry AMD

  • Total Diagnosed Prevalent Cases of Dry AMD

  • Age-specific Cases of Early and Intermediate AMD

  • Age-specific Cases of Geographic Atrophy

  • Geographic Atrophy Cases by Visual Impairment 

Dry Age-related Macular Degeneration (AMD) Understanding and Diagnosis Algorithm

Dry Age-related Macular Degeneration (AMD) Overview

Dry AMD is a chronic, progressive retinal disorder that primarily affects the macula, the central part of the retina responsible for sharp, detailed vision. It is the most common form of age-related macular degeneration. The condition is characterized by the accumulation of extracellular deposits called drusen beneath the retina and gradual degeneration of retinal pigment epithelium (RPE) cells. Over time, this leads to central vision loss, impacting activities such as reading, driving, and recognizing faces. Advanced stages may progress to geographic atrophy, a severe form marked by irreversible retinal cell loss. Risk factors include aging, smoking, genetic predisposition, and cardiovascular conditions.

Further details are provided in the report.

Dry Age-related Macular Degeneration (AMD) Diagnosis

Diagnosis of dry AMD relies on comprehensive ophthalmic evaluation and advanced imaging techniques. Eye care specialists typically use dilated fundus examination to identify drusen and pigmentary changes. Imaging modalities such as OCT provide high-resolution cross-sectional images of the retina, enabling early detection and monitoring of disease progression. Fundus autofluorescence and fluorescein angiography may also be used to assess retinal health and differentiate between dry and wet AMD. Increasingly, artificial intelligence-based tools are being integrated into diagnostic workflows to improve accuracy and facilitate earlier intervention.

Further details are provided in the report.

Dry Age-related Macular Degeneration (AMD) Epidemiology

Key Findings from Dry Age-related Macular Degeneration (AMD) Epidemiological Analysis and Forecast 

  • In 2025, the total prevalent cases of AMD were ~72,103,000 in the 7MM. These cases are projected to increase by 2036.
  • The early and intermediate stages of AMD are major contributors among the stage-specific prevalent cases of AMD. In 2025, the late stage accounted for ~1,846,500 cases in the US.
  • In the US, the total age-specific cases of geographic atrophy were 77,570 in the ≤64 years age group in 2025.
  • It is observed that early and intermediate AMD occurs majorly in the age group of 65-84 years. In the US, the total age-specific cases of early and intermediate AMD were ~5,024,900 in the ≤64 years in 2025.

Scope of the Report

  • The report covers a segment of a descriptive overview of dry AMD, explaining their causes, signs and symptoms, and pathogenesis.
  • Comprehensive insight has been provided into the epidemiology segments and forecasts, the future growth potential of the diagnosis rate, and disease progression. 

Report Insights

Dry Age-related Macular Degeneration (AMD) Patient Population Forecast

Report Key Strengths

  • Epidemiology‑based (Epi‑based) Bottom‑up Forecasting
  • 11-year Forecast 
  • Patient Burden Trends (by geography)

FAQs

  • What are the disease risks, burdens, and unmet needs of dry AMD? What will be the growth opportunities across the 7MM concerning the patient population with dry AMD?
  • What is the historical and forecasted dry AMD patient pool in the US, EU4 (Germany, France, Italy, and Spain), the UK, and Japan?

Reasons to Buy

  • Insights on patient burden/disease prevalence, evolution in diagnosis, and factors contributing to the change in the epidemiology of the disease during the forecast years.
  • To understand key opinion leaders’ perspectives around the diagnostic challenges to overcome barriers in the future.
  • Detailed insights on various factors hampering disease diagnosis and other existing diagnostic challenges.

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