Global AI Based Personalized Stylist
Market Report
2024
The global AI-Based Personalized Stylist market size will be USD 101.5 million in 2024. Real-time fashion recommendations are expected to boost sales to USD 982.2483388 million by 2031, with a Compound Annual Growth Rate (CAGR) of 38.30% from 2024 to 2031.
The base year for the calculation is 2023 and 2019 to 2023 will be historical period. The year 2024 will be estimated one while the forecasted data will be from year 2025 to 2031. When we deliver the report that time we updated report data till the purchase date.
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According to Cognitive Market Research, the global AI-based personalised Stylist market size will be USD 101.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 38.30% from 2024 to 2031.
Base Year | 2023 |
Historical Data Time Period | 2019-2023 |
Forecast Period | 2024-2031 |
Global AI Based Personalized Stylist Market Sales Revenue 2024 | $ 101.5 Million |
Global AI Based Personalized Stylist Market Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 38.3% |
North America AI Based Personalized Stylist Sales Revenue 2024 | $ 40.6 Million |
North America AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 36.5% |
United States AI Based Personalized Stylist Sales Revenue 2024 | $ 32.03 Million |
United States AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 36.3% |
Canada AI Based Personalized Stylist Sales Revenue 2024 | $ 4.87 Million |
Canada AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 37.3% |
Mexico AI Based Personalized Stylist Sales Revenue 2024 | $ 3.69 Million |
Mexico AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 37% |
Europe AI Based Personalized Stylist Sales Revenue 2024 | $ 30.45 Million |
Europe AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 36.8% |
United Kingdom AI Based Personalized Stylist Sales Revenue 2024 | $ 5.12 Million |
United Kingdom AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 37.6% |
France AI Based Personalized Stylist Sales Revenue 2024 | $ 2.8 Million |
France AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 36% |
Germany AI Based Personalized Stylist Sales Revenue 2024 | $ 6.03 Million |
Germany AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 37% |
Italy AI Based Personalized Stylist Sales Revenue 2024 | $ 2.62 Million |
Italy AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 36.2% |
Russia AI Based Personalized Stylist Sales Revenue 2024 | $ 4.72 Million |
Russia AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 35.8% |
Spain AI Based Personalized Stylist Sales Revenue 2024 | $ 2.5 Million |
Spain AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 35.9% |
Rest of Europe AI Based Personalized Stylist Sales Revenue 2024 | $ 4.72 Million |
Rest of Europe AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 35.5% |
Asia Pacific AI Based Personalized Stylist Sales Revenue 2024 | $ 23.35 Million |
Asia Pacific AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 40.3% |
China AI Based Personalized Stylist Sales Revenue 2024 | $ 10.51 Million |
China AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 39.8% |
Japan AI Based Personalized Stylist Sales Revenue 2024 | $ 3.22 Million |
Japan AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 38.8% |
Korea AI Based Personalized Stylist Sales Revenue 2024 | $ 2.33 Million |
Korea AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 39.4% |
India AI Based Personalized Stylist Sales Revenue 2024 | $ 2.8 Million |
India AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 42.1% |
Australia AI Based Personalized Stylist Sales Revenue 2024 | $ 1.21 Million |
Australia AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 40% |
Rest of APAC AI Based Personalized Stylist Sales Revenue 2024 | $ 1.66 Million |
Rest of APAC AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 40.1% |
South America AI Based Personalized Stylist Sales Revenue 2024 | $ 5.08 Million |
South America AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 37.7% |
Brazil AI Based Personalized Stylist Sales Revenue 2024 | $ 2.17 Million |
Brazil AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 38.3% |
Argentina AI Based Personalized Stylist Sales Revenue 2024 | $ 0.85 Million |
Argentina AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 38.6% |
Colombia AI Based Personalized Stylist Sales Revenue 2024 | $ 0.45 Million |
Colombia AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 37.5% |
Peru AI Based Personalized Stylist Sales Revenue 2024 | $ 0.42 Million |
Peru AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 37.9% |
Chile AI Based Personalized Stylist Sales Revenue 2024 | $ 0.37 Million |
Chile AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 38% |
Rest of South America AI Based Personalized Stylist Sales Revenue 2024 | $ 0.82 Million |
Rest of South America AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 36.8% |
Middle East and Africa AI Based Personalized Stylist Sales Revenue 2024 | $ 2.03 Million |
Middle East and Africa AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 38% |
Turkey AI Based Personalized Stylist Sales Revenue 2024 | $ 0.17 Million |
Turkey AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 37.5% |
Nigeria AI Based Personalized Stylist Sales Revenue 2024 | $ 0.21 Million |
Nigeria AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 37.1% |
Egypt AI Based Personalized Stylist Sales Revenue 2024 | $ 0.21 Million |
Egypt AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 38.3% |
South Africa AI Based Personalized Stylist Sales Revenue 2024 | $ 0.32 Million |
South Africa AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 39% |
GCC Countries AI Based Personalized Stylist Sales Revenue 2024 | $ 0.87 Million |
GCC Countries AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 38.8% |
Rest of MEA AI Based Personalized Stylist Sales Revenue 2024 | $ 0.24 Million |
Rest of MEA AI Based Personalized Stylist Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 37% |
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Market Restrains:
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Market Trends:
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Market Split by Type |
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Market Split by Category |
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List of Competitors |
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Regional Analysis |
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Country Analysis |
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Key Qualitative Information Covered |
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AI Based Personalized Stylist Market is Segmented as below. Particular segment of your interest can be provided without any additional cost. Download the Sample Pages!
The AI-based personalized Stylist market leverages artificial intelligence to provide tailored fashion and styling recommendations. These systems analyze user preferences, body types, lifestyles, and trends, offering personalized clothing and accessory suggestions. As consumer demand for customized shopping experiences grows, retailers and fashion platforms are increasingly adopting AI-driven solutions to enhance customer satisfaction and engagement. The market benefits from advancements in machine learning, computer vision, and natural language processing, enabling highly accurate styling advice. Growing e-commerce, rising fashion-consciousness, and demand for convenience are key drivers in expanding this innovative market.
In 2020: Lily AI raised capital to develop its technology for personalized recommendations. Lily AI revealed that it has raised $12.5 million in Series A funding. The business claims that it presents individualized e-commerce experiences by using "deep product data and anonymized customer behavior data." (Source: https://techcrunch.com/2020/01/09/lily-ai-raises-a-12-5m-series-a-led-by-canaan-to-accelerate-its-e-commerce-recommendation-tech/)
The market for personalized fashion recommendations is being driven by several key factors; The development of sophisticated algorithms that analyze vast amounts of consumer data (browsing habits, purchase history, body measurements, and even social media activity) enables more accurate and relevant fashion recommendations. This technological evolution is a key factor driving growth. Providing accurate and effective personalized recommendations relies on the quality of consumer data. Retailers may struggle with integrating data from different sources, leading to less effective personalization efforts and customer dissatisfaction. These drivers and restraints are shaping the growth trajectory of personalized fashion recommendations, as companies navigate the balance between innovation and addressing consumer concerns. For instance, to advance its personal recommendation technology, Lily AI raised capital in 2020. Personalized e-commerce experiences are presented by Lily AI through the use of "deep product data and anonymized customer behavior data," the business claimed. It has raised $12.5 million in Series A funding.
The availability of big datasets, advances in deep learning architectures, and rising computing power are the main forces behind developing machine learning algorithms. Scalable, rapid model training is made possible by distributed systems and cloud computing. The need for increasingly complex algorithms is fueled by the growth of artificial intelligence (AI) in sectors including healthcare, finance, and autonomous systems. Furthermore, data accessibility, open-source frameworks, and rising research and development expenditures in artificial intelligence fuel ongoing innovation and the real-world use of sophisticated machine learning models.
Small-scale fashion stores have a considerable obstacle in the form of high development costs, which restrict their access to cutting-edge technologies and creative design methodologies. These merchants frequently have tight budgets, making it difficult for them to invest in cutting-edge production equipment, eco-friendly materials, and online marketing and sales platforms. Their growth potential is further limited by significant expenses related to supply chain management, branding, and scalability, which puts them at a disadvantage compared to larger, more financially stable competitors.
The COVID-19 pandemic accelerated the growth of the AI-based personalized stylist market as consumers shifted to online shopping and virtual services. With physical stores closed, demand for personalized, AI-driven fashion recommendations increased. Retailers adopted AI solutions to offer virtual try-ons, tailored recommendations, and interactive shopping experiences. This surge in e-commerce and contactless shopping reshaped the fashion industry, making AI-driven tools essential for enhancing customer engagement and providing personalized styling solutions in a rapidly changing retail environment.
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The AI-based personalized Stylist Market is characterized by a mix of established fashion tech companies and innovative startups. Key players include Stitch Fix, which combines AI with human stylists, and companies like Looklet and Fashmates, leveraging advanced algorithms for personalized recommendations. Intense competition drives rapid technological advancements, with firms focusing on enhancing user experience and personalization. Collaborations with fashion brands and leveraging big data analytics are also trends shaping the competitive landscape, fostering growth in this dynamic market.
In January 2020, to advance its personal recommendation technology, Lily AI raised capital. Personalized e-commerce experiences are presented by Lily AI through the use of "deep product data and anonymized customer behavior data," the business claimed. It has raised $12.5 million in Series A funding. (Source: https://www.retaildive.com/news/lily-ai-secures-funding-to-expand-personal-recommendation-tech/570173/)
Top Companies Market Share in AI Based Personalized Stylist Industry: (In no particular order of Rank)
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According to Cognitive Market Research, North America currently dominates the AI-based personalized Stylists market, and the region is expected to have significant growth during the projected period. This region benefits from advanced technological infrastructure, high consumer spending on fashion, and a strong presence of tech companies innovating in AI and machine learning, driving demand for personalized styling solutions among consumers.
Asia-Pacific is expected to make significant gains during the projected period, with the greatest compound annual growth rate (CAGR). Factors driving this growth include increasing disposable income, rising fashion consciousness among consumers, and the growing adoption of AI technology in personalized shopping experiences.
The current report Scope analyzes AI Based Personalized Stylist Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com
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According to Cognitive Market Research, the global AI-based personalized Stylist market size was estimated at USD 101.5 Million, out of which North America held the major market share of more than 40% of the global revenue with a market size of USD 187.80 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.2% from 2024 to 2031.
According to Cognitive Market Research, the global AI-based personalized Stylist market size was estimated at USD 101.5 Million, out of which Europe held the market share of more than 30% of the global revenue with a market size of USD 30.45 million in 2024 and will grow at a compound annual growth rate (CAGR) of 36.8% from 2024 to 2031.
According to Cognitive Market Research, the global AI-based personalized Stylist market size was estimated at USD 101.5 Million, out of which Asia Pacific held the market share of around 23% of the global revenue with a market size of USD 23.35 million in 2024 and will grow at a compound annual growth rate (CAGR) of 40.3% from 2024 to 2031.
According to Cognitive Market Research, the global AI-based personalized Stylist market size was estimated at USD 101.5 Million, out of which Latin America held the market share of around 5% of the global revenue with a market size of USD 5.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 37.7% from 2024 to 2031.
According to Cognitive Market Research, the global AI-based personalized Stylist market size was estimated at USD 101.5 Million, out of which the Middle East and Africa held the major market share of around 2% of the global revenue with a market size of USD 2.03 million in 2024 and will grow at a compound annual growth rate (CAGR) of 38.0% from 2024 to 2031..
Global AI Based Personalized Stylist Market Report 2024 Edition talks about crucial market insights with the help of segments and sub-segments analysis. In this section, we reveal an in-depth analysis of the key factors influencing AI Based Personalized Stylist Industry growth. AI Based Personalized Stylist market has been segmented with the help of its Type, Category , and others. AI Based Personalized Stylist market analysis helps to understand key industry segments, and their global, regional, and country-level insights. Furthermore, this analysis also provides information pertaining to segments that are going to be most lucrative in the near future and their expected growth rate and future market opportunities. The report also provides detailed insights into factors responsible for the positive or negative growth of each industry segment.
How are Segments Performing in the Global AI-Based Personalized Stylist Market?
According to Cognitive Market Research, Chatbots dominate the AI-based personalized stylist market by providing real-time, tailored fashion advice through advanced algorithms and natural language processing. They analyze user preferences, body types, and current trends to offer customized outfit recommendations, enhancing user engagement. Their 24/7 availability ensures instant support, while integrations with e-commerce platforms streamline the shopping experience. Additionally, chatbots collect user feedback to refine their suggestions, creating a personalized experience that attracts and retains customers in a competitive market.
Visual shoppers dominate the fastest-growing AI-based personalized stylist market by leveraging advanced image recognition and machine learning algorithms to enhance shopping experiences. These technologies analyze consumer preferences, body types, and style trends, offering tailored clothing recommendations. By providing virtual try-ons and personalized styling advice, visual shoppers improve customer engagement and satisfaction. Their ability to curate unique, fashionable looks efficiently attracts a broader audience, driving market growth as consumers increasingly seek personalized, convenient shopping solutions.
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According to Cognitive Market Research, Apparel dominates the AI-based personalized Stylist Market due to its ability to offer tailored fashion recommendations that enhance customer experience. By leveraging advanced algorithms, brands can analyze consumer preferences, body types, and style trends, providing personalized outfit suggestions. This technology fosters deeper engagement, increases conversion rates, and encourages repeat purchases. Additionally, the integration of virtual fitting rooms and styling advice enhances consumer confidence in online shopping, driving growth and solidifying apparel's position as the market leader.
In the AI-based personalized Stylist Market, Accessories dominate the fastest-growing AI-based personalized stylist market by enhancing individual style and boosting fashion choices. These products, including jewelry, bags, and hats, provide a unique touch to outfits, helping consumers express their aesthetics. AI algorithms analyze user preferences and trends, recommending accessories that complement clothing selections. This personalized approach increases customer engagement and satisfaction, driving sales. Additionally, the convenience of online shopping and tailored recommendations make accessories a key focus in the evolving fashion landscape.
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Research Analyst at Cognitive Market Research
I am a research analyst working in various domains including the Consumer Goods domain, and my primary responsibility is to conduct thorough research on various subjects and provide valuable insights to support client requirements. I have knowledge of research methodologies, and data mining which enables me to analyze large data sets, draw meaningful conclusions, and communicate them effectively. I stay up-to-date with the latest research trends, methodologies, and technologies to ensure that my research is accurate, relevant, and impactful.
Sneha Mali is a research analyst working in various domains including the Consumer Goods, market research and transport & logistics and her primary responsibility is to conduct thorough research on various subjects and provide valuable insights to support client requirements. Her knowledge of research methodologies, and data mining which enables me to analyze large data sets, draw meaningful conclusions, and communicate them effectively.Sneha stay up-to-date with the latest research trends, methodologies, and technologies to ensure that her research is accurate, relevant, and impactful.
In her current role, Sneha is committed to continuous learning and staying abreast of emerging trends in research methodologies. Regular participation in workshops, webinars, and industry conferences ensures that her skills remain sharp and relevant. She have demonstrated ability to transform complex data sets into clear and concise narratives that inform key business strategies. Collaborating with cross-functional teams.Sneha remains an invaluable asset in the dynamic landscape of market research.
Conclusion
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Type | Chatbots, Personal Shopper, Visual Shopper |
Category | Apparels, Accessories |
List of Competitors | Bestlook, ClothStudio, Dressipi, Dresslife, Epytom, Intelistyle, Lily, Mallzee, ModeWalk, Mona, Shop It To |
This chapter will help you gain GLOBAL Market Analysis of AI Based Personalized Stylist. Further deep in this chapter, you will be able to review Global AI Based Personalized Stylist Market Split by various segments and Geographical Split.
Chapter 1 Global Market Analysis
Global Market has been segmented on the basis 5 major regions such as North America, Europe, Asia-Pacific, Middle East & Africa, and Latin America.
You can purchase only the Executive Summary of Global Market (2019 vs 2024 vs 2031)
Global Market Dynamics, Trends, Drivers, Restraints, Opportunities, Only Pointers will be deliverable
Chapter 2 North America Market Analysis
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Qualitative Analysis for the North America Market: North America AI Based Personalized Stylist Market Trends North America AI Based Personalized Stylist Technological Road Map North America AI Based Personalized Stylist Market Drivers North America AI Based Personalized Stylist Market Restraints North America AI Based Personalized Stylist Market Opportunity Market Attractiveness Analysis COVID – 19 Impact Analysis PESTEL Analysis Porter’s Five Forces Analysis Product Life Cycle Industrial Chain Analysis
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Chapter 3 Europe Market Analysis
You can purchase only the Executive Summary Europe Market (2019 vs 2024 vs 2031)
Chapter 4 Asia-Pacific Market Analysis
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Chapter 5 South America Market Analysis
You can purchase only the Executive Summary South America Market (2019 vs 2024 vs 2031)
Chapter 6 Middle East and Africa Market Analysis
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Only Available with Corporate User License
Chapter 7 Top 10 Countries Analysis
Competitor's Market Share and Revenue (Subject to Data Availability for Private Players)
Chapter 8 Competitor Analysis (Subject to Data Availability (Private Players))
(Subject to Data Availability (Private Players))
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Chapter 9 Qualitative Analysis (Subject to Data Availability)
Segmentation Type Analysis 2019 -2031, will provide market size split by Type. This Information is provided at Global Level, Regional Level and Top Countries Level The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 10 Market Split by Type Analysis 2019 -2031
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Chapter 11 Market Split by Category Analysis 2019 -2031
This chapter helps you understand the Key Takeaways and Analyst Point of View of the global AI Based Personalized Stylist market
Chapter 12 Research Findings
Here the analyst will summarize the content of entire report and will share his view point on the current industry scenario and how the market is expected to perform in the near future. The points shared by the analyst are based on his/her detailed in-depth understanding of the market during the course of this report study. You will be provided exclusive rights to interact with the concerned analyst for unlimited time pre purchase as well as post purchase of the report.
Why Chatbots have a significant impact on AI Based Personalized Stylist market? |
What are the key factors affecting the Chatbots and Personal Shopper of AI Based Personalized Stylist Market? |
What is the CAGR/Growth Rate of Apparels during the forecast period? |
By type, which segment accounted for largest share of the global AI Based Personalized Stylist Market? |
Which region is expected to dominate the global AI Based Personalized Stylist Market within the forecast period? |
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