Edison, NJ -- (SBWIRE) -- 01/12/2021 -- Latest document on 'AI in Fashion by Component (Solutions and Services), by Application (Product Recommendation, Product Search & Discovery, Virtual Assistants, Others, and Customer Relationship Management), by Deployment Mode (Cloud, and On-premises), by Category, (Apparel, Accessories, Footwear, Jewelry & Watches, Beauty & Cosmetics, and Others), by End-User (Fashion Designers, and Fashion Stores), and Region (North America, Asia, Europe, and Rest of World) – Forecast up to 2026' is added in HTF MI research reporsitory provides in-depth analysis, Competitive scenario, and future market trends and strategies. The regional analysis includes countries like USA, Germany, China, France, Japan, South Korea, UK, BeNeLux, Nordic Nations, Middle East & Africa and many other countries along with major players profiled such as Adobe, Oracle, Catchoom, Huawei, Vue.AI, Heuritech, Wide Eyes, Findmine, Intelistyle, Lily AI, IBM, Microsoft, Google, Facebook, AWS, Pttrns.AI, SAP, Stitch Fix, Syte, and Mode AI. The Market has witnessed continuous growth in the past few years and is projected to see some stability post Q2,2020 and may grow further during forecast year 2021-2026
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Summary
AI in Fashion by Component (Solutions and Services), by Application (Product Recommendation, Product Search & Discovery, Virtual Assistants, Others, and Customer Relationship Management), by Deployment Mode (Cloud, and On-premises), by Category, (Apparel, Accessories, Footwear, Jewelry & Watches, Beauty & Cosmetics, and Others), by End-User (Fashion Designers, and Fashion Stores), and Region (North America, Asia, Europe, and Rest of World) – Forecast up to 2026
Time to restyle the fashion industry which has been the epitome of styling for years. It is the situation of the pandemic which causes such changes inevitably. The ongoing pandemic has forced the fashion industry to vamp up the technologies which can make people safer as well as give the customer's an enriching experience. Fashion Industry is seen as one of the most competitive markets where something which is trending today may find itself in the corner the next day. In the backdrop of the pandemic, artificial intelligence (AI) can be used as the smartest tool to help the interests of the customers. Right now, it has been used to increase the productivity of the manufacturing of the clothes and the smooth functioning of enterprises.
A need for personalization of products has made AI the top choice of every industry. We have already witnessed the "suggestions based on what you have seen" on various OTT platforms like Netflix, Amazon, and a plethora of others. The current environment values personal experience as the highest. Time to see some disruptive ideas emerging in the fashion industry as well.AI has umpteen applications in the fashion industry, ranging from product recommendation, product search, creative designing, and trend forecasting, virtual assistant, supply chain management, and demand forecasting and other applications.
There has been a huge demand for AI in the fashion industry and this is major because of the rising influence of social media on the industry of fashionistas. The growing popularity of personalized experience is the driving force behind the demand for AI. Apart from this, giving suggestions to the customer concerning upcoming future trends tracking their past shopping behavior and the growth in the retail industry are the other two key factors that are boosting the adoption of AI in the fashion hub. India, being a diverse country that has huge diverse behavior in terms of culture and region, such differentiation can be a huge challenge to cope up with. The extra clutter on social media is also something that needs to be broken down to capture enough eye-balls of the customers.
There is no speck of doubt that Artificial Intelligence AI has changed the way business is done. With the growing popularity of e-commerce, more and more consumer data is being tracked than ever. Most of the trending fashion platforms are able to decode consumer data based on their shopping behavior.
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Research Methodology:
The market of AI in fashion has been analyzed by utilizing the optimum combination of secondary sources and in-house methodology, along with an irreplaceable blend of primary insights. The real-time assessment of the market is an integral part of our market sizing and forecasting methodology. Our industry experts and panel of primary participants have helped in compiling relevant aspects with realistic parametric estimations for a comprehensive study. The participation share of different categories of primary participants is given below:
On the basis of components, Artificial Intelligence in the fashion market is fragmented into 2 parts:
Solutions
Services
Due to a higher adoption rate, the solution segment outperforms the services segment and is expected to record higher growth in the future. Fashion retailers are moving more and more towards advanced technologies that can streamline their business processes and help attract new customers.
The deployment segment is further categorized into 2 segments into the
Cloud
On-premises
Owing to the fact that a lot of improvements have happened in integration and scalability coupled with ease of deployment, the cloud-based model is anticipated to be the driving force behind the adoption of cloud-based AI solutions in the fashion market. The issues pertaining to data privacy and security happen to increase the demand for on-premise AI solutions in the fashion industry.
On the basis of applications, AI in the fashion hub can be categorized under
Customer Relationship Management
Virtual Assistants
Product Recommendation
Product Search and Discovery
Supply Chain Management and Demand Forecasting
Creative Designing and Trend Forecasting
Based on end-users, the AI in Fashion is categorized into:
Fashion Designers
Fashion Stores
Various factors such as increasing need to reduce the time required to develop and visualize thousands of images to forecast fashion trends, and need to quickly analyze various fashion clothing patterns are the boomers behind the significant usage of AI in the fashion industry. The fashion store category is expected to be the major contributor in terms of the adoption of AI technologies.
On the basis of Category, the market is divided into:
Apparel
Accessories
Footwear
Beauty and Cosmetics
Jewellery And Watches
Others
The adoption of AI and ML technologies in fashion and luxury brands is increasing as enterprises wish to cater to various requirements of the clients and industry. The various fashion brands have started adopting AI to offer recommendations for clothing to help customers to get an accurate outfit and thus reduce purchase return rates and increase profit margins. The apparel category is expected to be the major contributor in terms of the adoption of AI and ML technologies.
Based on the Geographic region, it covers:
North America
Europe
Asia Pacific
Rest of the World
North America holds the largest share of the AI in the fashion market, while Asia Pacific is expected to grow at the highest CAGR during the forecasting period. The growth of Asia Pacific is attributed to growing technological advancements in countries such as China, India, and Japan. China has presented numerous research papers on the use of AI across verticals.
However, there is much scope of improvement globally owing to the fact that the initial investment in this market is high and its maintenance cost is also high to sustain it. However, we see that the market is growing with key providers operating in the global AI in fashion include Adobe, Oracle, Catchoom, Huawei, Vue.AI, Heuritech, Wide Eyes, Findmine, Intelistyle, Lily AI, IBM, Microsoft, Google, Facebook, AWS, Pttrns.AI, SAP, Stitch Fix, Syte, and Mode AI.
The AI in the Fashion Industry is expected to grow at a CAGR of ~39.17% during the forecast period 2020–2026. This report grants exhaustive research about the ongoing trends and the competitive trends following the usage of AI in the fashion industry.
The report would be providing the key-insights about the current level of AI in the fashion industry
A qualitative analysis would be the backbone for any in-depth research for the usage of AI in the fashion segment
The technological challenges and the data privacy issues would be handled in the exhaustive report as well
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Table of Contents
Executive Summary
Industry Outlook
Industry Overview
Industry Trends
Market Snapshot
Market Definition
Market Outlook
PEST Analysis
Porter Five Forces
Related Markets
Ecosystem
Market Outlook
Market Evolution
Market Trends and Impact
Market Segmentation
Market Dynamics
Drivers
Restraints
Opportunities
DRO - Impact Analysis
....Continued
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