Sophia Jonson
This detailed market study covers AI in fashion market growth opportunities and competitive scenarios, which can assist the stakeholders in understanding market trends and prospects in the AI in fashion market. The AI in fashion market report focuses on data from a combination of primary and secondary sources and analyses the information using numerous tools. The research report also offers a detailed analysis of each segment in the AI in fashion market and evaluates the impact of COVID-19 outbreak on the industry.
Global AI in Fashion Market Competitive Rivalry
The AI in fashion market report includes an analysis of the competitive landscape present in the industry. It consists of an assessment of the existing and ongoing trends that players can invest in. The notable players in the global AI in fashion market are Google, AWS, Adobe, Oracle, Catchoom, Huawei, Vue.AI, SAP, Facebook, Heuritech, Microsoft Corporation, IBM Corporation, Wide Eyes, and Findmine, among others.
Global AI in Fashion Market Drivers
Artificial Intelligence has various capabilities to drive enhancements in different areas, such as capacity planning, forecasting, and merchandising, along with delivery & production automation, which is projected to drive the growth of the global AI in Fashion market. The increasing effects of social media in the industry of fashion are leading to the accelerating adoption of AI in fashion industry. Moreover, numerous fashion brands are using AI for maximizing the user’s shopping experience and improve the sales systems efficiency by using intelligent automation. This factor will further contribute to the growth of the AI in Fashion market size over the coming years.
The inventory management is a huge pain point for apparel brands, the AI-powered tools help in solving the pain point of the industry while allowing the retailers to save money on customer service staff and building customer loyalty. Artificial intelligence encourages creativity as it opens out a hugely innovative idea, and its computing power improves the speed, which will be an advantage for the fashion supply chain. On the other edge, the high cost of creating artificial intelligence is likely to hamper the growth of the global AI in fashion market.
Global AI in Fashion Market Segmentation
The chapter of segmentation provides the readers with an overview of the AI in fashion market such as its products, applications, and other relevant factors of the industry. Understanding the market segments helps in identifying the importance of different factors that surges market growth over the forecast period (2020-2027).
Segment by Component:
- Services
- Solutions
Segment by Deployment Mode:
- On-Premises
- Cloud
Segment by Application:
- Product Search & Discovery
- Creative Designing & Trend Forecasting
- Product Recommendation
- Supply Chain Management & Demand Planning
- Virtual Assistant
- Customer Relationship Management
- Others
Segment by Category:
- Beauty & Cosmetics
- Apparel
- Jewellery & Watches
- Footwear
- Accessories
- Others
Segment by End User:
- Fashion Stores
- Fashion Designers
Segment by Region:
- North America
- United States of America
- Canada
- Asia Pacific
- China
- Japan
- India
- Rest of APAC
- Europe
- United Kingdom
- Germany
- France
- Spain
- Rest of Europe
- RoW
- Brazil
- South Africa
- Saudi Arabia
- UAE
- Rest of the world (remaining countries of the LAMEA region)
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