The artificial intelligence (AI) in cosmetics formulation market size is expected to see exponential growth in the next few years. It will grow to $1.6 billion in 2030 at a compound annual growth rate (CAGR) of 22.3%. The growth in the forecast period can be attributed to increasing integration of artificial intelligence (AI) in research and development (R&D) workflows, growing demand for hyper-personalized cosmetic solutions, rising adoption of predictive formulation tools, expansion of digital twins in formulation design, and growing investment in artificial intelligence (AI)-enabled ingredient optimization. Major trends in the forecast period include technology advancements in artificial intelligence (AI)-powered formulation engines, continuous innovations in ingredient prediction models, developments in virtual testing and simulation tools, rising research and developments in smart cosmetic materials, and advancements in automated formulation platforms.
The growing demand for personalized skincare is expected to drive the growth of the artificial intelligence (AI) in cosmetics formulation market in the coming years. Personalized skincare involves customized solutions tailored to an individual’s unique skin type, concerns, genetics, lifestyle, and environmental factors. This demand is increasing as advanced skin analysis technologies, including AI-based diagnostics, enable consumers to receive products specifically designed for their skin needs. AI-powered cosmetics formulation supports personalized skincare by leveraging detailed skin and lifestyle data to develop or recommend custom products that more accurately address individual requirements and enhance skincare outcomes. For example, in September 2024, a report by Harris Williams, a US-based investment bank, indicated that over 89% of consumers surveyed were maintaining or increasing their spending compared to 2023, up slightly from approximately 86% the previous year. Hence, the rising demand for personalized skincare is fueling the growth of the AI in cosmetics formulation market.
Major companies in the artificial intelligence (AI) in cosmetics formulation market are focusing on AI-driven ingredient optimization systems, such as AI-powered personal care formulation discovery tools, to streamline product development, improve ingredient performance, and deliver highly personalized skincare solutions more efficiently. AI-powered personal care formulation discovery tools are intelligent platforms that leverage artificial intelligence to design or recommend optimal cosmetic formulations based on detailed ingredient and skin analysis. For example, in April 2025, Nouryon, a Netherlands-based specialty chemicals company, launched BeautyCreations, an AI-driven digital portal for personal care formulators, at in-cosmetics Global in Amsterdam. Powered by AI from Albert Invent and trained specifically on personal care chemistry, the tool allows users to input natural language queries describing formulation needs or desired product claims, quickly retrieving relevant hair and skincare recipes from Nouryon's extensive database while ensuring intellectual property compliance. Formulators can use these vetted starting formulations to innovate faster, simplifying access to Nouryon's ingredient expertise and positioning the company as a leader in AI-enhanced R&D collaboration within the cosmetics industry.
In June 2024, The Estée Lauder Companies Inc., a US-based cosmetics company, acquired DECIEM Beauty Group Inc. for an undisclosed amount. Through this acquisition, The Estée Lauder Companies Inc. aims to strengthen its skincare portfolio and engage younger consumers by leveraging DECIEM’s innovative approach for global growth. DECIEM Beauty Group Inc., a US-based beauty company, employs artificial intelligence (AI) to enhance operations, including product development, personalization, and customer experience.
Major companies operating in the artificial intelligence (AI) in cosmetics formulation market are BASF SE, Unilever PLC, Perfect Corp., L’Oréal S.A., Evonik Industries AG, Beiersdorf AG, Givaudan SA, Shiseido Company Limited, Nouryon Chemicals Holding B.V., Symrise AG, Amorepacific Corporation, Ashland Global Holdings Inc., Avon Products Inc., The Estée Lauder Companies Inc., TECHNIA AB, PROVEN Skincare, Revieve Inc., LipoTrue S.L., Dermala Inc., Haut.AI.
North America was the largest region in the artificial intelligence (AI) in cosmetics formulation market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in cosmetics formulation market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI) in cosmetics formulation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.
Tariffs have impacted the artificial intelligence in cosmetics formulation market by increasing costs for imported smart lab equipment, automated ingredient dispensers, and specialized formulation analytics hardware. These effects are more visible in hardware-intensive segments and in regions reliant on cross-border equipment sourcing, particularly Asia-Pacific and Europe. Higher costs can slow adoption among small and mid-sized cosmetic manufacturers, while software-centric solutions remain less affected. On the positive side, tariffs are encouraging localized manufacturing, regional sourcing of lab equipment, and greater emphasis on cloud-based and software-driven AI formulation tools.
Artificial intelligence (AI) in cosmetics formulation refers to the application of AI to design, test, and optimize cosmetic products with increased speed and accuracy. It analyzes large datasets on ingredients, skin types, and performance outcomes to develop safer and more effective formulations. This approach enables cosmetic brands to reduce development time, minimize trial-and-error, and bring innovative products to market more quickly.
The main components of artificial intelligence (AI) in cosmetics formulation are software and services. AI-driven software in cosmetics formulation comprises digital tools and platforms that allow brands to design, test, and optimize products more efficiently using intelligent algorithms. These systems assess ingredient interactions, predict product stability, and recommend optimal formulations. They can be deployed via cloud-based or on-premises models and leverage advanced technologies such as machine learning, deep learning, computer vision, natural language processing, predictive analytics, generative AI, and cloud-based AI. Key applications include product development, ingredient analysis, personalized formulations, quality control, and other related uses, serving end-users such as cosmetic manufacturers, contract manufacturers, research institutes, and other industry participants.
The artificial intelligence (AI) in cosmetics formulation market consists of revenues earned by entities by providing services such as quality assurance, regulatory support, integration services, and maintenance services. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (ai) in cosmetics formulation market includes sales of automated ingredient dispensers, formulation analytics hardware, and smart lab equipment. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
Artificial Intelligence (AI) In Cosmetics Formulation Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence (ai) in cosmetics formulation market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for artificial intelligence (ai) in cosmetics formulation? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) in cosmetics formulation market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component: Software; Services2) By Deployment Mode: Cloud; On-Premises
3) By Technology: Machine Learning And Deep Learning; Computer Vision; Natural Language Processing; Predictive Analytics; Generative Artificial Intelligence; Cloud-Based Artificial Intelligence
4) By Application: Product Development; Ingredient Analysis; Personalized Formulation; Quality Control; Other applications
5) By End-User: Cosmetic Manufacturers; Contract Manufacturers; Research Institutes; Other End-Users
Subsegments:
1) By Software: Formulation Optimization Software; Ingredient Analysis Software; Product Simulation Software; Quality Assessment Software; Regulatory Compliance Software; Research and Development Software2) By Service: Consulting Services; Implementation Services; Customization Services; Support and Maintenance Services; Training Services; Data Management Services
Companies Mentioned: BASF SE; Unilever PLC; Perfect Corp.; L’Oréal S.A.; Evonik Industries AG; Beiersdorf AG; Givaudan SA; Shiseido Company Limited; Nouryon Chemicals Holding B.V.; Symrise AG; Amorepacific Corporation; Ashland Global Holdings Inc.; Avon Products Inc.; The Estée Lauder Companies Inc.; TECHNIA AB; PROVEN Skincare; Revieve Inc.; LipoTrue S.L.; Dermala Inc.; Haut.AI
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this AI in Cosmetics Formulation market report include:- BASF SE
- Unilever PLC
- Perfect Corp.
- L’Oréal S.A.
- Evonik Industries AG
- Beiersdorf AG
- Givaudan SA
- Shiseido Company Limited
- Nouryon Chemicals Holding B.V.
- Symrise AG
- Amorepacific Corporation
- Ashland Global Holdings Inc.
- Avon Products Inc.
- The Estée Lauder Companies Inc.
- TECHNIA AB
- PROVEN Skincare
- Revieve Inc.
- LipoTrue S.L.
- Dermala Inc.
- Haut.AI
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 0.71 Billion |
| Forecasted Market Value ( USD | $ 1.6 Billion |
| Compound Annual Growth Rate | 22.3% |
| Regions Covered | Global |
| No. of Companies Mentioned | 21 |

