Press release
AI in Fashion Market Outlook 2025-2034: Key Trends, Growth Drivers, and Market Share
AI in Fashion
The increasing impact of social media on the fashion sector is propelling the AI in the fashion market's expansion. Social media serves as a key information source for the fashion industry, offering a myriad of views and information worldwide. Contemporary fashion heavily relies on brand advocacy and fashion influencers who use social media to express their fashion perspectives. For example, the influencer marketing hub, a resource for influencers on social media, projects that the influencer marketing domain will expand from $9.7 billion in 2020 to $13.8 billion in 2021. Factors contributing to this growth include the rising popularity of brief video formats on platforms like TikTok, Facebook, and YouTube, the global pandemic's effect on consumer behaviour, which led to an increase in social media usage, and the improvement of data collection processes used by marketers for social media advertisements. This increasing sway of social media is spurring the expansion of the AI fashion market.
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What Is the projected market size and growth rate for the ai in fashion market?
The market size of AI in fashion has been rapidly expanding in the previous few years. It's predicted to increase from $1.26 billion in 2024 to $1.77 billion in 2025, demonstrating a compound annual growth rate (CAGR) of 40.4%. The historical growth can be traced back to the implementation of visual search and recognition, enhancements in supply chain efficiency, the introduction of virtual try-on solutions, fraud detection measures, and sustainable practices.
The market size of AI in fashion is projected to experience remarkable growth in the coming years, ballooning to $6.99 billion by 2029, with a compound annual growth rate (CAGR) of 41.0%. This growth for the prediction period can be credited to the adoption of voice-activated shopping, the application of predictive trend analysis, and the use of dynamic pricing strategies. Significant trends that will shape the forecast period are the use of virtual fitting rooms, personalised product suggestions, computer vision applications for style recognition, supply chain improvements, as well as the implementation of chatbots and virtual assistants.
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How are the latest trends influencing the growth of the ai in fashion market?
Leading businesses in the AI fashion sector are concentrating their efforts on the evolution of machine learning such as AI platforms. This is directed towards refining personalized experiences, perfecting inventory control, and enhancing the efficiency of the supply chain. The purpose of these novel advancements is to amplify the customer's experience and push for a sustainable trend in the sector. An AI platform, in essence, is a complete setting that delivers the necessary tools and resources for building, implementing, and controlling AI applications. It largely comprises of development frameworks, data-related management, computational resources, and services for deploying strategies. For instance, in October 2023, Spain's outlet store firm, Mango, introduced a Lisa. Lisa is an inventive generative AI platform by Mango which accelerates operations and improves user interaction by offering immediate assistance in the realms of design, trend assessment, and customer support. Lisa acts as a helping hand for employees, spurring effectiveness and originality as a core piece of the company's strategy to digitally transform.
What major market segments define the scope and growth of the ai in fashion market?
The AI in fashion market covered in this report is segmented -
1) By Category: Apparels, Accessories, Footwear, Beauty And Cosmetics, Jewelry
2) By Deployment Mode: Cloud, On-premise
3) By Components: Solution, Services
4) By Application: Customer Relationship Management, Virtual Assistants, Product Recommendation, Product Search And Discovery, Supply Chain Management And Demand Forecasting, Creative Designing And Trend Forecasting
5) By End Users: Fashion Designers, Fashion Stores
Subsegments:
1) By Apparels: Smart Clothing, Customizable Fashion, Virtual Fitting Rooms
2) By Accessories: AI-Powered Handbags and Bags, Wearable Tech Accessories, Personalized Jewelry Recommendations
3) By Footwear: Custom Fit Solutions, AI-Driven Footwear Design, Smart Shoes with Tracking Capabilities
4) By Beauty And Cosmetics: Virtual Makeup Try-Ons, Personalized Skincare Solutions, AI-Based Color Matching Tools
5) By Jewelry: Virtual Try-On Solutions, Custom Design Tools, AI-Driven Recommendations Based On Trends And Preferences
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Which region dominates the ai in fashion market?
North America was the largest region in the AI in fashion market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI in fashion market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Which key market leaders are driving the ai in fashion industry growth?
Major companies operating in the AI in fashion market include Alphabet Inc., Microsoft Corporation, Meta Platforms Inc, Huawei Technologies Co. Ltd., Amazon Web Services Inc., International Business Machines Corporation, Oracle Corporation, SAP SE, Adobe Inc., Stitch Fix Inc., Optitex Ltd., Syte Visual Conception Ltd., True Fit Corporation, Nextail Labs S.L., Lily AI inc., AiFi Technologies Inc., Revieve Oy, Heuritech SAS, Dressformer, StyleSage Inc., Donde Search Ltd., Wide Eyes Technologies S.L., Vue.ai, ZyloTech Inc., FINDMINE Inc., Mode.ai, Intelistyle, Catchoom Technologies S.L., Pttrns.ai, Fashwell AG, Wide Eyes Technologies S.L., H&M Group's Ivyrevel AB, Choosy Inc., SnapFashion Limited, ELSE Corp Srl, Farfetch Limited
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What Is Covered In The AI in Fashion Global Market Report?
• Market Size Forecast: Examine the ai in fashion market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the ai in fashion market for a structured understanding.
• Key Players Overview: Analyze major players in the ai in fashion market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the ai in fashion market.
• Segment Contributions: Evaluate how different segments drive overall growth in the ai in fashion market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the ai in fashion market.
• Industry Challenges: Identify potential risks and obstacles affecting the ai in fashion market.
• Competitive Landscape: Review strategic developments in the ai in fashion market, including expansions, agreements, and new product launches.
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