"Global AI in Fashion Market – Industry Trends and Forecast to 2028
Global AI in Fashion Market, By Component (Solutions, Services), Deployment Mode (Cloud, On-Premises), Application (Product Recommendation, Product Search & Discovery, Creative Designing & Trend Forecasting, Supply Chain Management & Demand Planning, Customer Relationship Management, Virtual Assistant, Others), Category (Apparel, Footwear, Beauty & Cosmetics, Accessories, Watches, Jewellery, Others), End Users (Fashion Stores, Fashion Designers), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2028
AI in fashion market is expected to reach USD 3.14 billion by 2028 witnessing market growth at a rate of 38.85% in the forecast period of 2021 to 2028. Data Bridge Market Research report on AI in fashion market provides analysis and insights regarding the factor such as rising growth of retail sector which help in the adoption of artificial intelligence.
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Increasing demand for personalised experience, growing need of inventory management tools, rising trend and influence of social media, rising demand due to increasing benefits such as advanced material procurement, automation in operations, product discovery and others which will help in accelerating the growth of the AI in fashion market in the forecast period of 2021-2028. On the other hand, analysis of changing customer behaviour and future trends will further create various opportunities that will lead to the growth of the AI in fashion market in the above mentioned forecast period.
**Segments**
- **Product Recommendation**
- AI algorithms are being utilized to provide personalized product recommendations to customers based on their browsing history and purchasing behavior. This helps in increasing customer engagement and driving sales.
- **Visual Search**
- AI technology enables visual search capabilities in fashion e-commerce platforms, allowing users to search for items by uploading images or utilizing images from social media. This enhances the user experience and streamlines the search process.
- **Virtual Fitting Rooms**
- Virtual fitting rooms powered by AI technology allow customers to try on clothes virtually using their accurate body measurements. This reduces the need for physical changing rooms and enhances the online shopping experience.
- **Supply Chain Optimization**
- AI is being used to optimize the fashion supply chain by predicting demand, improving inventory management, and streamlining logistics processes. This results in cost savings and more efficient operations within the industry.
**Market Players**
- **Stylumia**
- Stylumia offers AI-powered solutions for trend forecasting, demand prediction, and inventory optimization in the fashion industry.
- **Vue.ai**
- Vue.ai provides AI-driven personalization and automation tools for online fashion retailers to enhance customer experience and increase sales.
- **IBM**
- IBM offers AI solutions for supply chain management, visual recognition, and customer insights in the fashion sector.
- **SAP**
- SAP provides AI-powered tools for demand forecasting, inventory management, and customer analytics for fashion brands.
- **Amazon**
- Amazon utilizes AI for product recommendations, inventory optimization, and customer personalization on its e-commerce platform.
The AI in Fashion market is witnessing significant growth and innovation across various segments such as product recommendation, visual search, virtual fitting rooms, and supply chain optimization. Companies like Stylumia, Vue.ai, IBM, SAP, and Amazon are leading players in providing AI solutions tailored for the fashion industry to improve customer experience, optimize operations, and drive sales. With the increasing adoption of AI technology, the fashion industry isThe AI in Fashion market is experiencing substantial growth and transformation due to the adoption of advanced technologies across various segments. Product recommendation powered by AI algorithms is a key area driving customer engagement and sales in the fashion industry. By analyzing browsing history and purchasing behavior, companies can offer personalized recommendations to enhance the shopping experience. Visual search is another segment where AI is making significant strides, allowing users to search for fashion items through images, thereby improving search accuracy and efficiency.
Virtual fitting rooms have revolutionized the way customers try on clothes online, providing a more personalized experience based on accurate body measurements. This feature not only eliminates the need for physical changing rooms but also boosts customer confidence in making online purchases. Supply chain optimization is crucial for the fashion industry to predict demand, manage inventory effectively, and streamline logistics processes. AI plays a vital role in optimizing the supply chain, leading to cost savings and operational efficiencies for fashion brands.
In terms of market players, companies like Stylumia, Vue.ai, IBM, SAP, and Amazon are at the forefront of providing AI solutions tailored for the fashion industry. Stylumia specializes in trend forecasting, demand prediction, and inventory optimization, while Vue.ai offers personalization and automation tools for online fashion retailers. IBM provides solutions for supply chain management, visual recognition, and customer insights, catering to the specific needs of the fashion sector. SAP's AI-powered tools focus on demand forecasting, inventory management, and customer analytics, empowering fashion brands with data-driven insights.
Amazon, a dominant player in e-commerce, leverages AI for product recommendations, inventory optimization, and customer personalization on its platform. These market players are driving the adoption of AI in the fashion industry, enabling brands to stay competitive, improve operations, and meet evolving customer expectations. The integration of AI technologies in fashion is not only enhancing the overall shopping experience but also revolutionizing the way businesses operate in the industry.
As the AI in Fashion market continues to evolve, we can expect further innovations in areas such as trend analysis, predictive**Global AI in Fashion Market Analysis**
- **Component**
- The AI in the fashion market is segmented by components such as solutions and services. AI-powered solutions include trend forecasting, demand prediction, inventory optimization, and personalized recommendations, driving growth in the market. Services segment encompasses AI implementation, consulting, and maintenance services for fashion brands seeking to enhance their operations.
- **Deployment Mode**
- The market is categorized based on deployment modes including cloud and on-premises solutions. Cloud-based AI applications offer scalability, flexibility, and cost-effectiveness, making them popular among fashion retailers looking to leverage AI technologies without significant infrastructure investments.
- **Application**
- The applications of AI in fashion range from product recommendation and visual search to supply chain management and customer relationship management. Creative designing, trend forecasting, virtual assistants, and other AI-driven applications are transforming the way fashion brands interact with customers and optimize their operations.
- **Category**
- Fashion products across categories such as apparel, footwear, beauty & cosmetics, accessories, watches, and jewelry are benefiting from AI integration. The diverse product categories in the fashion industry are leveraging AI technologies to improve customer experiences, boost sales, and streamline processes.
- **End Users**
- Fashion stores and fashion designers are key end-users of AI technologies in the fashion industry. Retailers are implementing AI solutions to enhance the shopping experience, while designers are utilizing AI tools for trend analysis, creative designing, and production optimization.
**Industry Trends and Forecast**
The global
Table of Content:
Part 01: Executive Summary
Part 02: Scope of the Report
Part 03: Global AI in Fashion Market Landscape
Part 04: Global AI in Fashion Market Sizing
Part 05: Global AI in Fashion Market Segmentation By Product
Part 06: Five Forces Analysis
Part 07: Customer Landscape
Part 08: Geographic Landscape
Part 09: Decision Framework
Part 10: Drivers and Challenges
Part 11: Market Trends
Part 12: Vendor Landscape
Part 13: Vendor Analysis
Key takeaways from the AI in Fashion Market report:
- Detailed considerate of AI in Fashion Market-particular drivers, Trends, constraints, Restraints, Opportunities and major micro markets.
- Comprehensive valuation of all prospects and threat in the
- In depth study of industry strategies for growth of the AI in Fashion Market-leading players.
- AI in Fashion Market latest innovations and major procedures.
- Favorable dip inside Vigorous high-tech and market latest trends remarkable the Market.
- Conclusive study about the growth conspiracy of AI in Fashion Market for forthcoming years.
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