A comprehensive dataset analyzing the beauty industry in 2025, including market size, product categories, consumer behavior, emerging trends, and global growth statistics.

In the period of time going from January 2019 to April 2024, the volume of M&A deals in the beauty and personal care industry was higher for Europe. A year before, this figure added up to 37 M&A deals for North America.

Unlock in-depth beauty industry insights with our Ulta Beauty Dataset, featuring 33,000 records in CSV format. This beauty cosmetics dataset provides detailed product listings, pricing, ratings, reviews, brand information, and availability, making it a powerful resource for businesses, analysts, and AI developers in the cosmetics and skincare industry.

With structured and up-to-date data, brands can analyze consumer trends, competitor pricing, product performance, and customer sentiment to optimize their marketing strategies and product offerings. Ideal for AI/ML model training, recommendation engines, price tracking, and trend forecasting, this dataset helps you stay ahead in the dynamic beauty sector.

📩 Get in touch today to access this exclusive Ulta dataset and elevate your data-driven decision-making!

European Skin Care, Make Up and Cosmetics Market Size Value by Country, 2023 Discover more data with ReportLinker!

Cosmetics Market size is expected to be worth around USD 570.5 Billion by 2033 from USD 295.5 Billion in 2023, growing at a CAGR of 6.8%.

Skin Care, Make Up and Cosmetics Market Size Value in Slovakia, 2021 Discover more data with ReportLinker!

Here are a few use cases for this project:

1. Dermatology Health Applications: This computer vision model could be used to build dermatology tools or applications. Professionals could use it to detect, identify, and track skin conditions or diseases (like melanoma or eczema) based on changes in the pattern or texture of hair distribution on human skin over time.

2. Hair Growth Research: The model could be beneficial in the research field associated with hair growth and hair health. It could support analysis on various factors like age, health, products, influencing hair growth and development.

3. Beauty and Cosmetic Industry: This model could find application in the beauty and cosmetics industry, where it can be used in the creation of personalized hair care products. It could analyze customer's hair characteristics and patterns to recommend specific product formulas.

4. Forensics: In the crime investigation process, the model could be useful to analyze hair patterns or characteristics in evidence for identification purposes.

5. Animal Studies: This model could also be beneficial in animal studies, where it can help differentiate animal species simply by analyzing fur patterns or fur health.

Forecast: Skin Care, Make Up and Cosmetics Market Size Value in the UK 2022 - 2026 Discover more data with ReportLinker!

Forecast: Skin Care, Make Up and Cosmetics Market Size Value in Germany 2022 - 2026 Discover more data with ReportLinker!

This dataset is about book subjects. It has 6 rows and is filtered where the books is The global beauty industry : colorism, racism, and the national body. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Global Cosmetic and Skincare Products Ingredients Analyzer Market size is predicted to grow from US$ million in 2025 to US$ million in 2031; it is expected to grow at a CAGR of %

Skin Care, Make Up and Cosmetics Market Size Value in Croatia, 2021 Discover more data with ReportLinker!

European Skin Care, Make Up and Cosmetics Market Size Value Share by Country (Euros), 2023 Discover more data with ReportLinker!

The Ingredients Dataset (18K+ records) provides a high-quality, structured collection of product information with detailed ingredients data. Covering a wide variety of categories including beauty, pet care, groceries, and health products, this dataset is designed to power AI, NLP, and machine learning applications that require domain-specific knowledge of consumer products.

Why This Dataset Matters

In today’s data-driven economy, access to structured and clean datasets is critical for building intelligent systems. For industries like healthcare, beauty, food-tech, and retail, the ability to analyze product ingredients enables deeper insights, including:

• Identifying allergens or harmful substances

• Comparing ingredient similarities across brands

• Training LLMs and NLP models for better understanding of consumer products

• Supporting regulatory compliance and labeling standards

• Enhancing recommendation engines for personalized shopping

This dataset bridges the gap between raw, unstructured product data and actionable information by providing well-organized CSV files with fields that are easy to integrate into your workflows.

Dataset Coverage

The 18,000+ product records span several consumer categories:

• 🛍 Beauty & Personal Care – cosmetics, skincare, haircare products with full ingredient transparency

• 🐾 Pet Supplies – pet food and wellness products with detailed formulations

• 🥫 Groceries & Packaged Foods – snacks, beverages, pantry staples with structured ingredients lists

• 💊 Health & Wellness – supplements, vitamins, and healthcare products with nutritional components

By including multiple categories, this dataset allows cross-domain analysis and model training that reflects real-world product diversity.

Key Features

• 📂 18,000+ records with structured ingredient fields

• 🧾 Covers beauty, pet care, groceries, and health products

• 📊 Delivered in CSV format, ready to use for analytics or machine learning

• 🏷 Includes categories and breadcrumbs for taxonomy and classification

• 🔎 Useful for AI, NLP, LLM fine-tuning, allergen detection, and product recommendation systems

Use Cases

1. AI & NLP Training – fine-tune LLMs on structured ingredients data for food, beauty, and healthcare applications.

2. Retail Analytics – analyze consumer product composition across categories to inform pricing, positioning, and product launches.

3. Food & Health Research – detect allergens, evaluate ingredient safety, and study nutritional compositions.

4. Recommendation Engines – build smarter product recommendation systems for e-commerce platforms.

5. Regulatory & Compliance Tools – ensure products meet industry and government standards through ingredient validation.

Why Choose This Dataset

Unlike generic product feeds, this dataset emphasizes ingredient transparency across multiple categories. With 18K+ records, it strikes a balance between being comprehensive and affordable, making it suitable for startups, researchers, and enterprise teams looking to experiment with product intelligence.

Note: Each record includes a url (main page) and a buy_url (purchase page). Records are based on the buy_url to ensure unique, product-level data.

Forecast: Skin Care, Make Up and Cosmetics Market Size Value in Spain 2022 - 2026 Discover more data with ReportLinker!

Forecast: Skin Care, Make Up and Cosmetics Market Size Value in Austria 2022 - 2026 Discover more data with ReportLinker!

Skin Care, Make Up and Cosmetics Market Size Value in Austria, 2021 Discover more data with ReportLinker!

Skin Care, Make Up and Cosmetics Market Size Value in Portugal, 2021 Discover more data with ReportLinker!

Skin Care, Make Up and Cosmetics Market Size Value in Estonia, 2021 Discover more data with ReportLinker!