The Gene Therapy For Retinal Diseases Market is expected to grow at an 8.0 % CAGR during the forecast period for 2023-2031.
Gene therapy states a method of announcing foreign DNA constructs into host cells in demand to treat various medical conditions, including retinal diseases. Gene therapy has an increasing research potential, mainly in the arena of retinal and ophthalmic diseases. The main features of the eye include convenience in terms of surgical interventions and injections and fitted blood-ocular barriers that bar other organs from undesirable contamination. The high potential of gene therapy to treat ocular diseases is boosting the demand for the market globally. Additionally, the approval of the first gene therapy for retinal diseases in 2017 is expected to increase the demand in the coming years.
The presence of several drugs under clinical trials and their positive results are expected to generate immense opportunities for market growth over the forecast period. The evidence of the use of the gene as a medicine has come a long way and establishes its position in treating retinal disease. Certainly, with only limited availability of treatment options for retinal diseases, gene therapy has been established safe, feasible, and effective and could lead to robust effects after a single injection. Moreover, growing strategic partnerships and acquisitions among the key players operating in the market are expected to significantly propel market growth. However, the high cost associated with gene therapy may affect the growth of gene therapy in the retinal disease market. However, growing demand for modified and effective treatment and rising research funding globally is estimated to drive the market growth substantially during the estimated time frame.
The Global Gene Therapy for Retinal Diseases Market is segmented on the basis of indication, and region. Based on the indication, the market is divided into Choroideremia (CHM), Leber congenital amaurosis, Leber’s hereditary optic neuropathy, X-linked retinitis pigmentosa, and Other Indication. Based on the region, the market is studied across North America, Asia-Pacific, Europe, and the Rest of the World. North America accounted for the significant share in the gene therapy for retinal disease market, followed by Europe. A large number of research laboratories and biopharmaceutical companies operating in the market are contributing towards the high share of the region in the global market. Additionally, well-established healthcare infrastructure in the U.S. and the high adoption of advanced technologies for treatment are propelling the growth of U.S. gene therapy for the retinal diseases market.
| Report Attribute | Specifications |
| Growth Rate CAGR | CAGR of 8.0 % from 2023 to 2031 |
| Quantitative Units | Representation of revenue in US$ Million and CAGR from 2023 to 2031 |
| Historic Year | 2019 to 2022 |
| Forecast Year | 2023-2031 |
| Report Coverage | The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
| Segments Covered | By Indication |
| Regional Scope | North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
| Country Scope | U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; The UK; France; Italy; Spain; China; Japan; India; South Korea; South East Asia; South Korea; South East Asia |
| Competitive Landscape | Applied Genetic Technologies Corporation, Adverum Biotechnologies, ProQR Therapeutics, MeiraGTx Limited., Oxford BioMedica, Horama S.A., Gensight Biologics, Regenxbio Inc., Spark Therapeutics, Inc., Genzyme (Sanofi), Novartis Pharmaceuticals, Nightstar Therapeutics (Biogen), Hemera Biosciences, Allergan, and others |
| Customization Scope | Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
| Pricing and Available Payment Methods | Explore pricing alternatives that are customized to your particular study requirements. |
Global Gene Therapy for Retinal Diseases Market by Indication
Global Gene Therapy for Retinal Diseases Market Based on Region
This study employed a multi-step, mixed-method research approach that integrates:
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.
Secondary data for the market study was gathered from multiple credible sources, including:
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.
Primary interviews for this study involved:
Interviews were conducted via:
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
This ensured that the dataset used for modelling was clean, robust, and reliable.
The bottom-up approach involved aggregating segment-level data, such as:
This method was primarily used when detailed micro-level market data were available.
The top-down approach used macro-level indicators:
This approach was used for segments where granular data were limited or inconsistent.
To ensure accuracy, a triangulated hybrid model was used. This included:
This multi-angle validation yielded the final market size.
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Given inherent uncertainties, three scenarios were constructed:
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.