The article cited AMA's Global AI in Fashion Market Study explored substantial growth with CAGR of 38.19%. According the report, Increasing Influence of Social Media on the Fashion Industry
is one of the primary growth factors for the market. Rising Customer Demand for Personalized Fashion Experience
is also expected to contribute significantly to the AI in Fashion market. Overall, Product Recommendation
applications of AI in Fashion, and the growing awareness of them, is what makes this segment of the industry important to its overall growth.
AMAs Analyst on the Global AI in Fashion market identified that the demand is rising in many different parts of the world as "Emergence of Technologies Such As Machine Learning, Deep Learning, Natural Language Processing, and Virtual Reality in Fashion Industry
" Furthermore, some recent industry insights like "15th October 2019, Amazon Fashion launched a new AI-powered StyleSnap feature integrated with matching learning technology to find style and clothing by analyzing a photo to its application. This tool is currently available in Germany and the United Kingdom for bottoms, tops, dresses, bags, and shoes in menswear and womenswear categories." is constantly making the industry dynamic.
The report provides an in-depth analysis and forecast about the industry covering the following key features: o Industry outlook including current and future market trends, drivers, restraints, and emerging technologies o Analyses the Global AI in Fashion market by Type, Application, and regions o Analyzes the top 10 players in terms of market reach, business strategy, and business focus o Provides stakeholders insights and key drivers & trends of the market
Market Size Estimation In market engineering method, both top-down and bottom-up approaches have been used, along with various data triangulation process, to predict and validate the market size of the AI in Fashion market and other related sub-markets covered in the study.
o Key & emerging players in the AI in Fashion market have been observed through secondary research. o The industrys supply chain and overall market size, in terms of value, have been derived through primary and secondary research processes. o All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.
Data Triangulation The overall AI in Fashion market size is calculated using market estimation process, the AI in Fashion market was further split into various segments and sub-segments. To complete the overall market engineering and arriving at the exact statistics for all segments and sub-segments, the market breakdown and data triangulation procedures have been utilized, wherever applicable. The data have been triangulated by studying various influencing factors and trends identified from both demand and supply sides of various applications involved in the study. Along with this, the Global AI in Fashion market size has been validated using both top-down and bottom-up approaches.