The anticipated size of the DNA-based skincare market in 2022 was US$ 4,733.8 million and is estimated to be US$ 4,907.7 million in 2023. Future Market Insights has mentioned in its reports that the DNA-based skincare market will expand at a CAGR of 5.3% between 2023 and 2033, totaling around US$ 8,192.3 million by 2033.
Rising consumer spending is estimated to accelerate the beauty and personal care industry, which is projected to drive the sales of DNA-based skin care products.
DNA-based skin care is the formulation and development of personalized skin care products that are specific to the DNA of patients. It includes the extraction of DNA by a cheek swab and analysis of the same to detect the skin’s inherent condition in terms of sun protection, collagen formation, antioxidant, glycation, and inflammation.
Increasing expenditure on health and wellness products and the ongoing advancement in the field of genomics are expected to bode well for the market. The inherent desire to look young, especially among the geriatric population is another factor that is set to drive the market.
Surging influence of social media, the lower prices of genetic diagnostics, and the expansion of the tourism industry are some of the vital factors that are estimated to fuel the market. In addition, rising investments by numerous renowned, as well as start-up companies in the development of personalized medicines for the skin are expected to accelerate the market.
For example, CureSkin, a Bengaluru-based artificial intelligence-driven skincare and beauty brand, successfully raised US$ 5 million in funding from JSW Ventures. The company is aiming to expand its adjacent categories and grow its customer base with the help of this funding. Rising entry of new players in the market and their surging investments are therefore set to augment the market.
Attributes | Details |
---|---|
Projected Forecast Value (2022) | US$ 4,733.8 million |
Projected Forecast Value (2023) | US$ 4,907.7 million |
Projected Forecast Value (2033) | US$ 8,192.3 million |
Growth rate | 5.3% CAGR |
Forecast period | 2023 to 2033 |
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Global DNA-based skincare market grew at a CAGR of 2.5% between 2017 and 2022. Growth forecasts remain optimistic, with the market predicted to exhibit a CAGR of 5.3% between 2023 and 2033.
Trend of reduction in the signs of aging is mainly prominent within the young and millennial population demographic, where this trend is further facilitated by constant and aggressive marketing, inclusive of promotional, and advertising campaigns directed towards mass consumers. Advancements in biomaterials and biotechnology are also fuelling the demand in the global DNA-based skin care products market.
Desire to Slow Down the Signs of Aging among Millennials
Desire to slow down the signs of aging among millennials is a major factor that is projected to accelerate the DNA-based skincare market growth in the upcoming years. Promotional campaigns and aggressive advertising by large and niche companies are likely to play an important role in influencing consumer behavior.
Ability to Spend more on Cosmetics and Beauty Solutions
Ability to spend more on cosmetics and beauty solutions is anticipated to augur well for the market. As everyone’s skin is different, the need for a regimen that is specifically tailored to an individual’s own requirements is set to grow.
Many people are expected to replace the generic approach of over-the-counter items with novel and customized regimens. The increasing number of campaigns conducted by skincare specialists to directly engage with customers is projected to propel the market.
Side Effects Caused due to the Presence of Certain Ingredients
Regulatory bodies of various countries often do not approve what goes into cosmetics and personal care products before these are sold in the market. Some of the agencies only regulate the colors that can be utilized in such products. The trend of buying products that do not have controversial ingredients, especially those derived from paraben, Sodium Lauryl Sulfate (SLS), and petroleum is surging at a fast pace. Several reports have showcased that a few ingredients are not safe for use and can cause side effects. Spurred by the above-mentioned factors, the sales of DNA-based skin care products may get hampered in the future.
North America is anticipated to generate the largest DNA-based skincare market share of 37.6% in the upcoming years. The immense popularity of clean, sustainable, and consumer-driven ingredient compositions in the United States cosmetics industry is projected to propel the market.
High purchasing power of people in the United States forecasted at a market share of 33.1% and the presence of a large number of established brands are a couple of other factors that are set to accelerate growth. The surging demand for premium, personalized skin care among people is also expected to bolster the market in North America.
Ongoing development of numerous innovative skin care products by renowned companies based in India, China, Japan, and Australia is expected to augment the demand for DNA-based skin care products in Asia Pacific. Rapid expansion of the e-commerce sector is another factor that is likely to augur well for the regional market.
Japan is forecasted at a market share of 5.9%. China and India expand at a CAGR of 6.4% and 5.2% respectively. It aims to help customers to find new products that are best for their skin and are not just an influencer’s recommendation or a brand name. Launch of similar other services across the Asia Pacific is estimated to spur the market.
Demand for natural and organic products in Europe has been fueled by the increase in consumer awareness about the risks of adopting skincare products having synthetic chemicals holding a market share of 25.5% and the United Kingdom significantly consisting of a major share expanding at a CAGR of 3.7%. Digital and social media campaigns have been creating awareness about DNA-based skincare products as modern consumers are tech-savvy and looking for products that are customized to their needs.
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Creams dominate the market with a share of 56.2%. DNA-based skincare creams are accepted as more than just aesthetic or cosmetic goods as the formulation mainly comprises high-tech pharmaceutical active components, claiming to preserve and even improve the skin's function.
Offline distribution channel has a major position in the market with a market share of 68.8%. Surge in offline sales is mainly due to the high inclination among consumers for testing their genes at health and wellness clinics instead of doing it at home kits. Consumers also believe that tests done through professionals will be more accurate and therefore, the products they recommend provide more beneficial results.
Some of the prominent players present in the global DNA-based skin care market are ALLÉL, IMAGENE LABS, Genetic Beauty, DNA Skin Institute, EpigenCare, ANAKE, Caligenix, LifeNome, SKINSHIFT, and SkinDNA among others.
The global market is highly fragmented with the presence of various international and domestic companies. Many companies are gradually shifting towards artificial intelligence to provide individualized suggestions and track daily skin changes to react to the shift in lifestyles. Meanwhile, some of the other key players are striving to develop DNA testing kits for customers to enable them to make informed decisions associated with their genetic composition.
Report Attribute | Details |
---|---|
Growth Rate | CAGR of 5.3% from 2023 to 2033 |
Base Year for Estimation | 2022 |
Historical Data | 2017 to 2022 |
Forecast Period | 2023 to 2033 |
Quantitative Units | Revenue in US$ million and CAGR from 2023 to 2033 |
Report Coverage | Revenue Forecast, Volume Forecast, Company Ranking; Competitive Landscape; Growth Factors; Trends; Pricing Analysis |
Segments Covered | Product Type, Distribution Channel, End Use, Region |
Regions Covered | North America; Latin America; Western Europe; Eastern Europe; South Asia & Pacific; East Asia; Middle East & Africa |
Key Countries Profiled | United States, Canada, Brazil, Mexico, Germany, United Kingdom, France, Spain, Italy, Russia, Poland, Czech Republic, Romania, China, Japan, South Korea, India, Bangladesh, Australia, New Zealand, GCC countries, South Africa, Israel |
Key Companies Profiled | ALLÉL; IMAGENE LABS; Genetic Beauty; DNA Skin Institute; EpigenCare; ANAKE; Caligenix; LifeNome; SKINSHIFT; SkinDNA |
Customization | Available Upon Request |
The global market is forecasted to grow at a moderate CAGR of 5.3% through 2033.
The net worth of the global market could reach around US$ 8,192.3 million by 2033.
Creams for DNA-based skin care are in higher demand and is preferred by all age groups.
Sales through hospital pharmacies has boosted this segment to acquire about 68.8% market share.
North America accounts for 37.6% of the global market share as of 2023.
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Product Type 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Product Type, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Product Type, 2023 to 2033 5.3.1. Serums 5.3.2. Creams 5.3.3. Others 5.4. Y-o-Y Growth Trend Analysis By Product Type, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Product Type, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Distribution Channel 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Distribution Channel, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Distribution Channel, 2023 to 2033 6.3.1. Offline 6.3.2. Online 6.4. Y-o-Y Growth Trend Analysis By Distribution Channel, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Distribution Channel, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End Use 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By End Use , 2018 to 2022 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End Use , 2023 to 2033 7.3.1. Home User 7.3.2. Wellness Clinics 7.3.3. Salons 7.4. Y-o-Y Growth Trend Analysis By End Use , 2018 to 2022 7.5. Absolute $ Opportunity Analysis By End Use , 2023 to 2033 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 8.1. Introduction 8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022 8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 8.3.1. North America 8.3.2. Latin America 8.3.3. Western Europe 8.3.4. Eastern Europe 8.3.5. South Asia and Pacific 8.3.6. East Asia 8.3.7. Middle East and Africa 8.4. Market Attractiveness Analysis By Region 9. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 9.2.1. By Country 9.2.1.1. USA 9.2.1.2. Canada 9.2.2. By Product Type 9.2.3. By Distribution Channel 9.2.4. By End Use 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Product Type 9.3.3. By Distribution Channel 9.3.4. By End Use 9.4. Key Takeaways 10. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. Brazil 10.2.1.2. Mexico 10.2.1.3. Rest of Latin America 10.2.2. By Product Type 10.2.3. By Distribution Channel 10.2.4. By End Use 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Product Type 10.3.3. By Distribution Channel 10.3.4. By End Use 10.4. Key Takeaways 11. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. Germany 11.2.1.2. UK 11.2.1.3. France 11.2.1.4. Spain 11.2.1.5. Italy 11.2.1.6. Rest of Western Europe 11.2.2. By Product Type 11.2.3. By Distribution Channel 11.2.4. By End Use 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Product Type 11.3.3. By Distribution Channel 11.3.4. By End Use 11.4. Key Takeaways 12. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. Poland 12.2.1.2. Russia 12.2.1.3. Czech Republic 12.2.1.4. Romania 12.2.1.5. Rest of Eastern Europe 12.2.2. By Product Type 12.2.3. By Distribution Channel 12.2.4. By End Use 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Product Type 12.3.3. By Distribution Channel 12.3.4. By End Use 12.4. Key Takeaways 13. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. India 13.2.1.2. Bangladesh 13.2.1.3. Australia 13.2.1.4. New Zealand 13.2.1.5. Rest of South Asia and Pacific 13.2.2. By Product Type 13.2.3. By Distribution Channel 13.2.4. By End Use 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Product Type 13.3.3. By Distribution Channel 13.3.4. By End Use 13.4. Key Takeaways 14. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. China 14.2.1.2. Japan 14.2.1.3. South Korea 14.2.2. By Product Type 14.2.3. By Distribution Channel 14.2.4. By End Use 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Product Type 14.3.3. By Distribution Channel 14.3.4. By End Use 14.4. Key Takeaways 15. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 15.2.1. By Country 15.2.1.1. GCC Countries 15.2.1.2. South Africa 15.2.1.3. Israel 15.2.1.4. Rest of MEA 15.2.2. By Product Type 15.2.3. By Distribution Channel 15.2.4. By End Use 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Product Type 15.3.3. By Distribution Channel 15.3.4. By End Use 15.4. Key Takeaways 16. Key Countries Market Analysis 16.1. USA 16.1.1. Pricing Analysis 16.1.2. Market Share Analysis, 2022 16.1.2.1. By Product Type 16.1.2.2. By Distribution Channel 16.1.2.3. By End Use 16.2. Canada 16.2.1. Pricing Analysis 16.2.2. Market Share Analysis, 2022 16.2.2.1. By Product Type 16.2.2.2. By Distribution Channel 16.2.2.3. By End Use 16.3. Brazil 16.3.1. Pricing Analysis 16.3.2. Market Share Analysis, 2022 16.3.2.1. By Product Type 16.3.2.2. By Distribution Channel 16.3.2.3. By End Use 16.4. Mexico 16.4.1. Pricing Analysis 16.4.2. Market Share Analysis, 2022 16.4.2.1. By Product Type 16.4.2.2. By Distribution Channel 16.4.2.3. By End Use 16.5. Germany 16.5.1. Pricing Analysis 16.5.2. Market Share Analysis, 2022 16.5.2.1. By Product Type 16.5.2.2. By Distribution Channel 16.5.2.3. By End Use 16.6. UK 16.6.1. Pricing Analysis 16.6.2. Market Share Analysis, 2022 16.6.2.1. By Product Type 16.6.2.2. By Distribution Channel 16.6.2.3. By End Use 16.7. France 16.7.1. Pricing Analysis 16.7.2. Market Share Analysis, 2022 16.7.2.1. By Product Type 16.7.2.2. By Distribution Channel 16.7.2.3. By End Use 16.8. Spain 16.8.1. Pricing Analysis 16.8.2. Market Share Analysis, 2022 16.8.2.1. By Product Type 16.8.2.2. By Distribution Channel 16.8.2.3. By End Use 16.9. Italy 16.9.1. Pricing Analysis 16.9.2. Market Share Analysis, 2022 16.9.2.1. By Product Type 16.9.2.2. By Distribution Channel 16.9.2.3. By End Use 16.10. Poland 16.10.1. Pricing Analysis 16.10.2. Market Share Analysis, 2022 16.10.2.1. By Product Type 16.10.2.2. By Distribution Channel 16.10.2.3. By End Use 16.11. Russia 16.11.1. Pricing Analysis 16.11.2. Market Share Analysis, 2022 16.11.2.1. By Product Type 16.11.2.2. By Distribution Channel 16.11.2.3. By End Use 16.12. Czech Republic 16.12.1. Pricing Analysis 16.12.2. Market Share Analysis, 2022 16.12.2.1. By Product Type 16.12.2.2. By Distribution Channel 16.12.2.3. By End Use 16.13. Romania 16.13.1. Pricing Analysis 16.13.2. Market Share Analysis, 2022 16.13.2.1. By Product Type 16.13.2.2. By Distribution Channel 16.13.2.3. By End Use 16.14. India 16.14.1. Pricing Analysis 16.14.2. Market Share Analysis, 2022 16.14.2.1. By Product Type 16.14.2.2. By Distribution Channel 16.14.2.3. By End Use 16.15. Bangladesh 16.15.1. Pricing Analysis 16.15.2. Market Share Analysis, 2022 16.15.2.1. By Product Type 16.15.2.2. By Distribution Channel 16.15.2.3. By End Use 16.16. Australia 16.16.1. Pricing Analysis 16.16.2. Market Share Analysis, 2022 16.16.2.1. By Product Type 16.16.2.2. By Distribution Channel 16.16.2.3. By End Use 16.17. New Zealand 16.17.1. Pricing Analysis 16.17.2. Market Share Analysis, 2022 16.17.2.1. By Product Type 16.17.2.2. By Distribution Channel 16.17.2.3. By End Use 16.18. China 16.18.1. Pricing Analysis 16.18.2. Market Share Analysis, 2022 16.18.2.1. By Product Type 16.18.2.2. By Distribution Channel 16.18.2.3. By End Use 16.19. Japan 16.19.1. Pricing Analysis 16.19.2. Market Share Analysis, 2022 16.19.2.1. By Product Type 16.19.2.2. By Distribution Channel 16.19.2.3. By End Use 16.20. South Korea 16.20.1. Pricing Analysis 16.20.2. Market Share Analysis, 2022 16.20.2.1. By Product Type 16.20.2.2. By Distribution Channel 16.20.2.3. By End Use 16.21. GCC Countries 16.21.1. Pricing Analysis 16.21.2. Market Share Analysis, 2022 16.21.2.1. By Product Type 16.21.2.2. By Distribution Channel 16.21.2.3. By End Use 16.22. South Africa 16.22.1. Pricing Analysis 16.22.2. Market Share Analysis, 2022 16.22.2.1. By Product Type 16.22.2.2. By Distribution Channel 16.22.2.3. By End Use 16.23. Israel 16.23.1. Pricing Analysis 16.23.2. Market Share Analysis, 2022 16.23.2.1. By Product Type 16.23.2.2. By Distribution Channel 16.23.2.3. By End Use 17. Market Structure Analysis 17.1. Competition Dashboard 17.2. Competition Benchmarking 17.3. Market Share Analysis of Top Players 17.3.1. By Regional 17.3.2. By Product Type 17.3.3. By Distribution Channel 17.3.4. By End Use 18. Competition Analysis 18.1. Competition Deep Dive 18.1.1. ALLÉL 18.1.1.1. Overview 18.1.1.2. Product Portfolio 18.1.1.3. Profitability by Market Segments 18.1.1.4. Sales Footprint 18.1.1.5. Strategy Overview 18.1.1.5.1. Marketing Strategy 18.1.2. IMAGENE LABS 18.1.2.1. Overview 18.1.2.2. Product Portfolio 18.1.2.3. Profitability by Market Segments 18.1.2.4. Sales Footprint 18.1.2.5. Strategy Overview 18.1.2.5.1. Marketing Strategy 18.1.3. Genetic Beauty 18.1.3.1. Overview 18.1.3.2. Product Portfolio 18.1.3.3. Profitability by Market Segments 18.1.3.4. Sales Footprint 18.1.3.5. Strategy Overview 18.1.3.5.1. Marketing Strategy 18.1.4. DNA Skin Institute 18.1.4.1. Overview 18.1.4.2. Product Portfolio 18.1.4.3. Profitability by Market Segments 18.1.4.4. Sales Footprint 18.1.4.5. Strategy Overview 18.1.4.5.1. Marketing Strategy 18.1.5. EpigenCare 18.1.5.1. Overview 18.1.5.2. Product Portfolio 18.1.5.3. Profitability by Market Segments 18.1.5.4. Sales Footprint 18.1.5.5. Strategy Overview 18.1.5.5.1. Marketing Strategy 18.1.6. ANAKE 18.1.6.1. Overview 18.1.6.2. Product Portfolio 18.1.6.3. Profitability by Market Segments 18.1.6.4. Sales Footprint 18.1.6.5. Strategy Overview 18.1.6.5.1. Marketing Strategy 18.1.7. Caligenix 18.1.7.1. Overview 18.1.7.2. Product Portfolio 18.1.7.3. Profitability by Market Segments 18.1.7.4. Sales Footprint 18.1.7.5. Strategy Overview 18.1.7.5.1. Marketing Strategy 18.1.8. LifeNome 18.1.8.1. Overview 18.1.8.2. Product Portfolio 18.1.8.3. Profitability by Market Segments 18.1.8.4. Sales Footprint 18.1.8.5. Strategy Overview 18.1.8.5.1. Marketing Strategy 18.1.9. SKINSHIFT 18.1.9.1. Overview 18.1.9.2. Product Portfolio 18.1.9.3. Profitability by Market Segments 18.1.9.4. Sales Footprint 18.1.9.5. Strategy Overview 18.1.9.5.1. Marketing Strategy 18.1.10. SkinDNA 18.1.10.1. Overview 18.1.10.2. Product Portfolio 18.1.10.3. Profitability by Market Segments 18.1.10.4. Sales Footprint 18.1.10.5. Strategy Overview 18.1.10.5.1. Marketing Strategy 19. Assumptions & Acronyms Used 20. Research Methodology
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