The Global AI in Fashion Market is expected to grow from USD 210.64 Million in 2019 to USD 825.19 Million by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 25.55%.

Market Segmentation & Coverage:
This research report categorizes the AI in Fashion to forecast the revenues and analyze the trends in each of the following sub-markets:

Based on Product Type, the AI in Fashion Market studied across Accessories, Apparel, Beauty & Cosmetics, Footwear, and Jewelry & Watch.

Based on Component, the AI in Fashion Market studied across Services and Solution. The Services further studied across Support & Maintenance, System Integration & Testing, and Training & Consulting. The Solution further studied across Platform and Software Tools.

Based on Deployment, the AI in Fashion Market studied across On-Cloud and On-Premises.

Based on Application, the AI in Fashion Market studied across Creative Designing & Trend Forecasting, Customer Relationship Management, Product Recommendation, Product Search & Discovery, Supply Chain Management & Demand Planning, and Virtual Assistant.

Based on End User, the AI in Fashion Market studied across Fashion Designer and Fashion Store.

Based on Geography, the AI in Fashion Market studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region surveyed across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region surveyed across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region surveyed across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.

Company Usability Profiles:
The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global AI in Fashion Market including Adobe Inc, Amazon Web Services, Inc., Catchoom, Facebook Inc, Findmine Inc, Google LLC, Heuritech, Huawei Technologies Co., Ltd., IBM Corporation, Intelistyle Ltd, LILY AI, Mad Street Den, Microsoft Corporation, Oracle Corporation, PTTRNS.AI, SAP SE, Stitch Fix, Syte, and WIDE EYES TECHNOLOGIES.

FPNV Positioning Matrix:
The FPNV Positioning Matrix evaluates and categorizes the vendors in the AI in Fashion Market on the basis of Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Competitive Strategic Window:
The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.

Cumulative Impact of COVID-19:
COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecast, considering the COVID-19 impact on the market.

The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments

The report answers questions such as:
1. What is the market size and forecast of the Global AI in Fashion Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global AI in Fashion Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global AI in Fashion Market?
4. What is the competitive strategic window for opportunities in the Global AI in Fashion Market?
5. What are the technology trends and regulatory frameworks in the Global AI in Fashion Market?
6. What are the modes and strategic moves considered suitable for entering the Global AI in Fashion Market?