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Global AI in Fashion Market Size, Share, Trends, Industry Statistics Report, By Component (Solutions, Services); By Deployment Mode (Cloud and On-Premises) By Application (Product Recommendation, Product Search and Discovery, Creative Designing and Trend Forecasting, Supply Chain Management and Demand Planning, Customer Relationship Management, Virtual Assistant and Others); By Category (Apparel, Footwear, Beauty and Cosmetics, Accessories, Watches and Jewelry); By End Users (Fashion Stores and Fashion Designers); Regional Analysis (North America - U.S, Canada, Other) (Asia-Pacific - India, Japan, China, South Korea, Japan, Australia, and Other) (Europe - U.K., Germany, Netherlands, Lithuania, Austria, Belgium, Poland, Sweden, Spain, France, Russia and Other) (Middle East - Saudi Arabia, UAE and Africa - South Africa, Zimbabwe and RoW) - Global Industry Insights, Trends and Forecast, 2019-2026

Report Format : PDF
Published Date : Dec-2019
Pages : 151
Report ID : VSR002136

Global AI in Fashion Market Size is estimated to expand rapidly in coming years, at a CAGR of 16.4 % from 2018 to 2025. In 2017, the global market valuation was USD 0.45 billion, and it is anticipated to be greater than USD xx.xx billion by 2025. Artificial Intelligence Technology has certainly changed the way business is done. AI also supported Design Company by using prediction technology of manufacturing and machine vision to understand brand attributes in many respects. Because AI can recommend similar shows and items, Hulu, Amazon and YouTube can do the same in the fashion industry. Further consumer data are monitored than ever with the growing popularity of e-commerce. Many popular fashion pages will track their shoppers ' browsing habits, suggesting similar colors, trends and layout-based pieces.

Global Market Growth Opportunities (Revenue, Growth) By 2019-2026 

AI in Fashion Market Size

The AI in mode has shown tremendous interest as social media has greatly driven the feature industry. Another variable boosting demand for AI in the fashion business is the increased demand for a personalized experience. Additional factors that improve artificial intelligence on the clothing industry are recognized by consumers ' expected buying habits and by drastic increase in style retail outlets. Bindings of cultural differences and enormous social network activity could however present a challenge for the market.

This global market study report analysis offers in-depth insights, revenue details, and other vital information regarding the global AI in fashion market, and the various trends, drivers, restraints, opportunities, and threats in the target market till 2025. The report offers insightful and detailed information regarding the various key players operating in the market, their financials, supply chain trends, technological innovations, key developments, apart from future strategies, acquisitions & mergers, and market footprint. The global AI in fashion market report has been segmented on the basis of type, application, and region. It includes the estimation of the market size, in terms of value, with respect to 4 main geographies, namely, North America, Europe, APAC, and RoW.

Segment Analysis

By Component Insights: On the basis of component, global AI in fashion market has been segmented into solution and services. The product category outperforms the service segment and is expected to grow at a higher rate of growth in the future. The companies are heading into advanced technologies, which can automate their business processes and help new consumers to be gained. In fact, it has become difficult for companies to recognize current trends through various social media platforms and to care for the customer's every need. Thus the AI based technologies, framework and technology frameworks like SDK, APIs and ML models, are being increasingly embraced by clothing retailers and brands.

By Deployment Type Insights: On the basis of deployment type, global AI in fashion market has been segmented into cloud and on premises. The cloud-based delivery segment is designed to enhance compatibility and scalability and to facilitate cloud-based AI applications in a fashion business. Thus confidentiality and security benefits contribute to on site demand for AI solutions in the fashion industry.

Regional Analysis

The AI in fashion market is divided into regions that are North America - U.S, Canada, Other; Asia-Pacific -India, Japan, China, Australia, Other; Europe - UK, Russia, France, Brazil, Other; Middle East and Africa. Every region analysis details in sense of growth, revenue, volume, challenges, and opportunities with the regional and global key players.

Due to the availability of advanced technology, North America is projected to be of the largest market volume over the forecast period.

Due to various reasons, such as growing social media use and rising local business and legislative policies centered on innovation of AI software, the APAC area has shown fast growth in AI fashion. The creation of AI-based solutions internationally is also projected to raise tech giant investments.

 Global AI in Fashion Market Size, Share Analysis by Region 2018

AI in Fashion Market Share

Global AI in Fashion Market Study Objective

1. To forecast the market size of AI in fashion market, along with describing and defining the market, in terms of volume and revenue as well as market opportunities for stakeholders, in order to provide a competitive landscape for global market players.

2. Market analysis and forecast of AI in fashion market on the basis of region, substrate, and application or end-use industry. To profile major market players, and to analyze their market shares and essential competencies comprehensively.

3. To analyze and elaborate significant factors that will have a major impact on the growth of AI in fashion market, such as drivers, restraints, challenges, and opportunities.

4. The regional analysis of AI in fashion market, to induce market size of five global major regions, which include, Europe, North America, South America, Middle East & Africa, and the Asia Pacific.

5. Strategic analysis of micro markets, in terms of individual prospects, opportunities, growth trends and their involvement in the overall market.

6. To provide detailed analysis of competitive and strategic developments in the AI in fashion market like a new product launch, partnership & agreement, investment & expansion, and company merger & acquisitions.

Key Players Landscape

Microsoft, IBM, Google, Facebook, Adobe, AWS, SAP, Oracle, Huawei, Vue.ai, Catchoom, Heuritech, FINDMINE, Intelistyle, Wide Eyes, Lily AI, and Pttrns.ai are some of the key players in the global market of AI in fashion. Such manufacturers plan to supply customized goods to increase consumer base and market share. They also focus on increasing geographical reach in order to gain maximum application penetration, especially in developing countries. It is likely to be a key factor in success for companies to set up R&D centers, together with strategic partnerships with investment companies, to introduce innovative technologies.

Global AI in Fashion Market Study Report Offer You!

The global AI in fashion market study report gives an idea about market size, share, stock, equity, investment and total price analysis. Also, the report provides comprehensively industry insights with all major factors such as market credit, allocation, demand, distribution, market scope, key players, end user & applications, provisions, livestock, commodities and industry economics analysis, future growth & forecast. The global market report includes all depth data like pre-market emphasis, market survey, market investment, industry advice, portfolio, finance, access, trade, market exploration, industry review and market predication & projection to develop effective strategies for optimizing their market position.

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Global AI in Fashion Market Size, Share, Trends, Industry Statistics Report, By Component (Solutions, Services); By Deployment Mode (Cloud and On-Premises) By Application (Product Recommendation, Product Search and Discovery, Creative Designing and Trend Forecasting, Supply Chain Management and Demand Planning, Customer Relationship Management, Virtual Assistant and Others); By Category (Apparel, Footwear, Beauty and Cosmetics, Accessories, Watches and Jewelry); By End Users (Fashion Stores and Fashion Designers); Regional Analysis (North America - U.S, Canada, Other) (Asia-Pacific - India, Japan, China, South Korea, Japan, Australia, and Other) (Europe - U.K., Germany, Netherlands, Lithuania, Austria, Belgium, Poland, Sweden, Spain, France, Russia and Other) (Middle East - Saudi Arabia, UAE and Africa - South Africa, Zimbabwe and RoW) - Global Industry Insights, Trends and Forecast, 2019-2026

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Global AI in Fashion Market Size, Share, Trends, Industry Statistics Report, By Component (Solutions, Services); By Deployment Mode (Cloud and On-Premises) By Application (Product Recommendation, Product Search and Discovery, Creative Designing and Trend Forecasting, Supply Chain Management and Demand Planning, Customer Relationship Management, Virtual Assistant and Others); By Category (Apparel, Footwear, Beauty and Cosmetics, Accessories, Watches and Jewelry); By End Users (Fashion Stores and Fashion Designers); Regional Analysis (North America - U.S, Canada, Other) (Asia-Pacific - India, Japan, China, South Korea, Japan, Australia, and Other) (Europe - U.K., Germany, Netherlands, Lithuania, Austria, Belgium, Poland, Sweden, Spain, France, Russia and Other) (Middle East - Saudi Arabia, UAE and Africa - South Africa, Zimbabwe and RoW) - Global Industry Insights, Trends and Forecast, 2019-2026

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