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Artificial Intelligence (A.I.) in Beauty and Cosmetics Market

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The newly published report titled “Global Artificial Intelligence (A.I.) in Beauty and Cosmetics Market- By Trends, Industry Competition/Company Profiles Analysis, Revenue (US$ Billions) and Forecast Till 2034.” features in-depth analysis and an extensive study on the market, exploring its significant factors.

According to the latest market intelligence research report by InsightAce Analytic, the global Artificial Intelligence (AI) In Beauty and Cosmetics Market Size is valued at USD 4.43 Billion in 2024 and is predicted to reach USD 27.65 Billion by the year 2034 at a 20.2% CAGR during the forecast period for 2025-2034.

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In recent years, the beauty and cosmetics industry has experienced a transformative shift with the growing integration of Artificial Intelligence (AI) technologies. As a highly personalized and data-rich sector, the beauty market is ideally positioned to benefit from AI-driven innovation. These advancements enable brands to make informed, data-backed decisions and adapt strategies to stay competitive in an increasingly dynamic marketplace.

Over the past decade, the industry has undergone significant change, driven by technological innovation and a marked evolution in consumer shopping behavior. As part of a broader digital transformation, leading beauty brands have adopted AI tools to offer personalized skincare solutions and customized beauty products, meeting the specific needs of individual consumers.

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Competitive Analysis:

There has been an influx of Beauty Tech implementations on the global market with the rapid expansion of the beauty and cosmetic industry. Key companies are constantly testing and launching new features with key strategic partners with innovative services, covering the market’s demands. Their focus on serving their clients’ needs, both brands and end-consumers, and the constant technological development are the key factors in boosting market growth. Companies like L’Oréal, and PROVEN, among others, have already recognized such potential and are applying A.I. in different ways. For instance, L’Oréal is implementing A.I. strategies on their business. Followed L’Oréal, by PROVEN has the largest skincare database and, with the input from the consumer, matches their data, creating unique and customized products using A.I. mechanisms.

The prominent players in the Artificial Intelligence (A.I.) in Beauty and Cosmetics

industry include:

Beiersdorf (NIVEA SKiN GUiDE), L’Oréal’s (Modiface, Hair Coach), Olay (Skin Care App), CRIXlabs (DBA Quantified Skin), Shiseido (Optune System), Procter & Gamble (Opte Wand), My Beauty Matches, Yours Skincare, EpigenCare Inc., mySkin, Haut.AI, Luna Fofo, Revieve, ANOKAI. CA., Pure & Mine, Youth Laboratories, Spruce Beauty, Nioxin, New Kinpo Group, Perfect Corp, Symrise (Philyra), Sephora USA, Inc. (Virtual Artist), Function of Beauty LLC, Estée Lauder, Coty Inc. (Rimmel), Givaudan, Beautystack and Polyfins Technology Inc and Other Prominent Players.

Key Industry Developments from Leading Players:

• In Dec 2021, Nykaa introduced L’Oréal’s advanced, Al-powered virtual try-on technology, ModiFace. Through the launch of this new technology, Company is expected to create an enhanced beauty experience for makeup enthusiasts while buying beauty products online. ModiFace technology allows photo-realistic results and AI-enabled shade calibration. The ModiFace Technology enables virtual try-on on Nykaa’s website and mobile app, helping shoppers purchase their desired beauty products across categories, starting with the L’Oréal range of products.

• In Oct 2021, PROVEN Skincare launched of $60 Billion Regulation A+ Offering. The funds are used to invest in Company’s further A.I. innovation and talent, expand domestic and global marketing strategies for its existing product line, and invest in further research and development of new product lines and categories

• In Sept 2021, Coty, Inc. announced a multi-channel partnership agreement with Perfect Corp. Through this partnership, Company plans to strengthen its offering in virtual try-ons, online skin diagnostics and data-driven personalization for brands including CoverGirl, Sally Hansen and philosophy, among others, as well as for Coty’s broad fragrance portfolio

• In June 2021, The technology division of L’Oréal, a longtime Google enterprise customer, subscribes to Google Cloud’s Vertex A.I. platform to speed up the production of its A.I. models for cosmetic services. Google’s Vertex platform enables customers to accelerate the development, deployment, and maintenance of machine learning models by unifying Google Cloud Services, machine learning systems, and machine learning operations (MLOps) under one user interface and API.

• In Jun 2021, LVMH and Google Cloud collaborated on cloud-based A.I. solutions to create new, personalized customer experiences that foster long-term growth. Through this collaboration, the Company is anticipated to augment demand forecasting and inventory optimization, support inclusive upskilling and certification programs for employees, and elevate customer experiences through personalization.

• In June 2021, Perfect Corp. announced an integration with Google for the launch of an A.R. interactive beauty try-ons. AR-powered virtual beauty try-on experiences can help online shoppers discover and experiment with various beauty products and shades online through Google search.

• In Dec 2020, Function of Beauty received a $150 Billion strategic minority investment from L Catterton. The funds used to speed up product development, support the Company’s continuous global expansion, and expand on the Company’s already industry-leading bespoke manufacturing capabilities.

Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Regional Analysis:

North America is expected to dominate the growth of A.I. in the beauty and cosmetic market due to the expansion of the beauty and cosmetic industry and prominent e-commerce companies like Amazon and Sephora. Asia Pacific region is expected to experience the fastest growth in the global A.I. in beauty and cosmetic market due to rapidly increasing consumer spending and expansion of the e-commerce sector across the region. In emerging countries like China, India, and Japan, the beauty e-commerce space is adapting to multiple models to enhance the e-commerce shopping experience for consumers.

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The Global Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Segments

The Global Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates (Value US$ Billion) & Trend and Forecast Analysis, 2025 to 2034 based on Service/Product

• Personalized Recommendation Tools

• Performance Marketing Measurement Platforms

• Demand Forecasting and Supply Chain Tools

• Real-time Customer Service Platforms

• AI-based Beauty Devices

The Global Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates (Value US$ Billion) & Trend and Forecast Analysis, 2025 to 2034 based on Application

• Skincare

• Haircare

• Make-up

• Fragrances

• Others

The Global Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates (Value US$ Billion) & Trend and Forecast Analysis, 2025 to 2034 based on Region

• Europe

• North America

• Latin America

• Asia Pacific

• Middle East & Africa

North America Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates Revenue (US$ Billion) by Country, 2025 to 2034

• U.S.

• Canada

Europe Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates Revenue (US$ Billion) by Country, 2025 to 2034

• Germany

• France

• Italy

• Spain

• Russia

• Rest of Europe

Asia Pacific Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates Revenue (US$ Billion) by Country, 2025 to 2034

• India

• China

• Japan

• South Korea

• Australia & New Zealand

Latin America Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates Revenue (US$ Billion) by Country, 2025 to 2034

• Brazil

• Mexico

• Rest of Latin America

The Middle East & Africa Artificial Intelligence (A.I.) in Beauty and Cosmetics Market Estimates Revenue (US$ Billion) by Country, 2025 to 2034

• GCC Countries

• South Africa

• Rest of the Middle East & Africa

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InsightAce Analytic is a market research and consulting firm that enables clients to make strategic decisions. Our qualitative and quantitative market intelligence solutions inform the need for market and competitive intelligence to expand businesses. We help clients gain a competitive advantage by identifying untapped markets, exploring new and competing technologies, segmenting potential markets, and repositioning products. Our expertise is in providing syndicated and custom market intelligence reports with an in-depth analysis with key market insights in a timely and cost-effective manner.https://www.insightaceanalytic.com/images_data/148861653.JPG

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New ‘Centaur’ AI model can predict how we behave with unprecedented accuracy

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July 9, 2025

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A new artificial intelligence (AI) model can predict and simulate human thought and behavior with a surprising degree of accuracy. The language model, called Centaur, could help researchers improve our understanding of human cognition.

The model was trained on more than 10 million real decisions made by participants of psychological experiments. Using this dataset, Centaur predicted and simulated how people would think and behave with 64% accuracy, researchers reported July 2 in the journal Nature.



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Lotlinx wins “LLM Innovation Award” in 2025 Artificial Intelligence Breakthrough Awards Program

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July 9, 2025

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DETROIT, July 09, 2025 (GLOBE NEWSWIRE) — Lotlinx, the auto industry’s leading VIN-specific data company for dealership inventory management, today announced that its advanced generative AI inventory and pricing management solution has been selected as winner of the “LLM Innovation Award” in the 8th annual AI Breakthrough Awards program conducted by AI Breakthrough, a leading market intelligence organization that recognizes the top companies, technologies and products in the global Artificial Intelligence (AI) market today.

As the auto retail industry faces increasing challenges in inventory management, pricing optimization, and market adaptability—particularly in light of automotive tariffs that directly impact vehicle costs and dealership profitability—dealers are seeking new ways to navigate complex pricing environments. Tariffs and economic pressures are driving up the price of imported vehicles and parts, squeezing profit margins, shifting consumer demand, and requiring real-time recalibration of inventory strategies.

While many dealerships strive to enhance profitability through data-driven decision-making, traditional inventory and pricing management solutions often rely on static reports and historical data, leaving dealers reactive rather than proactive. These outdated tools fail to capture and analyze the dynamic factors affecting vehicle pricing, such as tariffs, economic conditions, competitor activity, and regional demand fluctuations. As a result, dealers risk overpricing or underpricing vehicles, leading to lost revenue opportunities, inventory stagnation, and eroded margins.

Lotlinx’s advanced Vertical AI solution addresses these challenges by leveraging Large Language Models (LLMs) and Agentic AI to analyze millions of data points per vehicle in real time, delivering region-specific, data-backed recommendations tailored to the dealer’s unique market conditions.

At its core is the Agentic AI-powered virtual assistant, designed as a Virtual Internet Sales Manager that understands complex inventory and pricing scenarios and provides intelligent, automated guidance. After analyzing vehicle performance within the local market, the assistant suggests proactive actions, including strategic pricing adjustments, competitive positioning, follow-up reminders, and demand-based inventory alerts. The intelligent system continuously monitors sales velocity, market conditions, and pricing trends down to the zip code level.

By seamlessly integrating into dealership workflows, the solution ensures that data-backed insights are immediately actionable, eliminating guesswork and enabling dealers to proactively optimize inventory and pricing strategies. In addition, the solution also delivers real-time interpretation and automated recommendations for active, strategic decision-making.

“We’re thrilled to accept this award from AI Breakthrough. The strength of our AI technology is that it gives control back to dealers through an automated, proactive approach that helps them maintain profitability in an era where external economic forces add layers of complexity to pricing and inventory strategies,” said Len Short, Executive Chairman of Lotlinx. “By equipping dealers with a powerful, AI-driven inventory and pricing management system, we are modernizing the auto retail industry with predictive decision-making capabilities that drive efficiency, profitability, and strategic agility in an increasingly volatile market.”

The AI Breakthrough Awards shine a spotlight on the boldest innovators and most impactful technologies leading the charge in AI across a comprehensive set of categories, including Generative AI, Computer Vision, AIOps, Agentic AI, Robotics, Natural Language Processing, industry-specific AI applications and many more. This year’s program attracted more than 5,000 nominations from over 20 different countries throughout the world, underscoring the explosive growth and global importance of AI as a defining technology of the 21st century.

“Lotlinx’s solution provides forward-looking, AI-driven insights that help dealers adapt to the always changing economic and regulatory landscape. Traditional inventory and pricing solutions don’t capture and analyze dynamic factors like tariffs, economic conditions, competitor activity, and fluctuating regional demand, leaving dealers to struggle with pricing vehicles competitively, inventory strategy, and adjusting to rapid market changes,” said Steve Johansson, managing director, AI Breakthrough. “This technology ensures that dealerships are no longer constrained by outdated, reactive management strategies but instead gain access to an intelligent, automated partner that enhances decision-making, boosts profitability, and streamlines operations. We’re pleased to recognize Lotlinx with the ‘LLM Innovation Award!’”

About Lotlinx

Founded in 2012 and based out of Peterborough, New Hampshire, Lotlinx is the automotive industry leader in VIN-specific data solutions for inventory risk management. The Lotlinx platform provides automobile dealers and manufacturers with enhanced operational control over their retail business. Leveraging state-of-the-art real-time data and machine learning technology, Lotlinx provides a precision retailing solution that enables dealers to automatically adapt to market dynamics, mitigating inventory risk through VIN-specific strategies. To learn more about Lotlinx, please visit www.lotlinx.com.

About AI Breakthrough

Part of Tech Breakthrough, a leading market intelligence and recognition platform for global technology innovation and leadership, the AI Breakthrough Awards program is devoted to honoring excellence in Artificial Intelligence technologies, services, companies, and products. The AI Breakthrough Awards provide public recognition for the achievements of AI companies and products in categories including Generative AI, Machine Learning, AI Platforms, Robotics, Business Intelligence, AI Hardware, Computer Vision and more. For more information visit AIBreakthroughAwards.com.

Tech Breakthrough LLC does not endorse any vendor, product or service depicted in our recognition programs, and does not advise technology users to select only those vendors with award designations. Tech Breakthrough LLC recognition consists of the opinions of the Tech Breakthrough LLC organization and should not be construed as statements of fact. Tech Breakthrough LLC disclaims all warranties, expressed or implied, with respect to this recognition program, including any warranties of merchantability or fitness for a particular purpose.



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AI-using managers rely on the tool to decide who gets promoted or fired, survey shows

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July 9, 2025

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Among the 6 in 10 managers who use artificial intelligence tools at work, nearly all — 94% — use them to make decisions about their direct reports, according to a June 30 report from Resume Builder.

When making personnel decisions, managers use AI to determine raises (78%), promotions (77%), layoffs (66%) and terminations (64%). More than 7 in 10 of the leaders who said they use AI to help manage their teams expressed confidence in the technology making fair and unbiased decisions about employees.

However, only 32% of those using AI to manage said they’ve received formal training on how to do so ethically, and 43% said they’ve received informal guidance. About a quarter said they haven’t received any training.

Of the managers turning to AI, 46% said they were told to evaluate whether AI could replace a direct report’s position. Among those, 57% said they decided AI could replace the position, and 43% decided to replace the human position with AI.

“It’s essential not to lose the ‘people’ in people management. While AI can support data-driven insights, it lacks context, empathy and judgment,” said Stacie Haller, chief career advisor at Resume Builder.

“AI outcomes reflect the data it’s given, which can be flawed, biased or manipulated,” Haller said. “Organizations have a responsibility to implement AI ethically to avoid legal liability, protect their culture and maintain trust among employees.”

In the survey of more than 1,300 U.S. managers with direct reports, more than 1 in 5 using AI to lead said they frequently let AI make final decisions without human input. Even so, nearly all managers said they’re willing to step in if they disagree with an AI-based recommendation.

Those who integrate AI at work also say they use it for training materials (97%), employee development plans (94%), performance assessments (91%) and performance improvement plans (88%). 

Using AI for employment decisions could introduce bias into the algorithm, depending on how the AI model is trained and previous human decisions. At the same time, AI tools could potentially aid diversity, equity and inclusion efforts if hiring managers objectively analyze their people data to find patterns of exclusion or lack of promotion. 

For instance, GoDaddy uses promotion flagging to identify potential eligible employees who should be reviewed for promotion consideration, said GoDaddy’s vice president of diversity, inclusion and belonging. Instead of relying on subjective data, HR pros can mitigate bias through structured processes.



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