July 27, 2024

Alopecia Treatment is Estimated to Witness High Growth Owing to Increasing Awareness and Prevalence of Alopecia

Alopecia, or baldness, refers to the lack of hair or thinning of hair from the scalp or other parts of the body. Alopecia treatment aims to promote hair growth and reverse hair loss. Medications like minoxidil and finasteride are effective treatment options for many types of alopecia. Hair transplants and camouflage techniques can also help restore hair loss. The global alopecia treatment market is mainly driven by the increasing prevalence of alopecia and growing awareness regarding available treatment options.

The Global alopecia treatment market is estimated to be valued at US$ 10.2 Bn in 2023 and is expected to exhibit a CAGR of 6.1% over the forecast period 2024-2031.

Key Takeaways

Key players operating in the alopecia treatment market are Stemson Therapeutics, OliX Pharmaceuticals, Inc, Pfizer Inc, Aclaris Therapeutics, Inc., Cipla Inc., and Dr. Reddy’s Laboratories Ltd. Major players are focusing on developing advanced hair loss treatments and gene therapies.

The market provides significant opportunities for pharmaceutical companies developing novel treatment medications for targeted hair loss conditions. Growing cosmetic consciousness and social stigma associated with hair loss are also boosting treatment adoption.

Globally, the alopecia treatment market is expanding into emerging economies of Asia Pacific and Latin America owing to rising disposable incomes, awareness campaigns, and increasing healthcare investments.

Market Drivers

One of the major drivers for the alopecia treatment market is the increasing prevalence of alopecia disorders globally. It is estimated that over 50 million men in the U.S. will experience some degree of baldness by age 50. The rising psychological impact of alopecia is also driving demand for effective treatment regimens. In addition, growing geriatric population worldwide that is more prone to suffer from age-related hair loss will further aid market growth over the forecast period.

PEST Analysis

Political: The alopecia treatment market is regulated by various regulatory bodies like the FDA in the U.S., EMA in Europe and other national drug authorities. Changes in regulations can impact the development, marketing and sales of drugs and devices used for alopecia treatment.

Economic: Rising disposable incomes and enhanced healthcare spending are improving access to advanced and costly hair loss treatments globally. However, high costs of drugs and treatments are also limiting the overall market growth to some extent.

Social: Growing perception of hair as a symbol of youth, attractiveness and self-esteem is driving the demand for effective alopecia treatments. Social media is positively influencing people’s attitude towards hair loss.

Technological: Manufacturers are increasingly investing in R&D to develop more effective and safe treatment options like stem-cell therapy, low-level laser therapy and medical device technologies to target the root cause of alopecia. New pipeline drugs are also offering improved efficacy and better safety profiles.

Geographical Regions

North America currently accounts for the largest share of the alopecia treatment market in terms of value. This is attributed to factors like strong healthcare infrastructure, higher consumer awareness about treatment options and rising hair transplant procedures. Availability of advanced treatment technologies and ongoing clinical trials are also boosting the regional market growth.

The Asia Pacific region is projected to be the fastest growing market during the forecast period. Growing middle-class population, rapid economic development and increasing healthcare expenditure are some of the key factors supporting the alopecia treatment market expansion in emerging countries like China and India. Rising consciousness about aesthetics is further driving the demand for hair loss treatments in the Asia Pacific.

*Note:

  1. Source: Coherent Market Insights, Public sources, Desk research

2. We have leveraged AI tools to mine information and compile it