The Artificial Intelligence in Fashion Market in Asia Pacific is expected to grow from US$ 55.1 Mn in 2018 to US$ 1015.8 Mn by the year 2027, with a CAGR of 39.0% from the year 2019 to 2027.

The Business Market Insights provides you regional research analysis on “Asia Pacific Artificial Intelligence in Fashion Market” and forecast to 2027. The research report provides deep insights into the regional market revenue, parent market trends, macro-economic indicators, and governing factors, along with market attractiveness per market segment. The report provides an overview of the growth rate of the Asia Pacific Artificial Intelligence in Fashion market during the forecast period, i.e., 2020–2027.

Driving factors such as the accessibility of massive amounts of data from different data sources and real-time consumer behavior insights and increased operational efficiency are driving the adoption of artificial intelligence in fashion market. Further, the advent of natural language programming (NLP) to the fashion industry is expected to facilitate significant growth opportunities for artificial intelligence in fashion market. NLP offers high-efficiency human experience and makes highly interactive chatbots. Vendors have a huge opportunity to improve their services by implementing NLP to its solutions. In the fashion industry, and NLP has capabilities to offer great help to fashion and apparel websites by filtering the majority of customer’s issues and send it to different customers to clarify the issues. Business is taking efforts for better understanding and implementation of NLP. NLP’s are capable of handling the number of systems that work together to handle end-to-end interactions between machines and humans.

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Major key players covered in this report: Adobe Inc., Amazon.com, Inc., Catchoom, Facebook, Inc., Google, Inc.  (Alphabet Inc.), Huawei Technologies Co., Ltd, IBM Corporation, Microsoft Corporation, Oracle Corporation , SAP SE

This technology enables users to interact more naturally. Business is making huge investments in developing NLP enabled solutions for the fashion industry. For instance, Zalando SE, Germany based Fashion Company, implemented the NLP model to its website based on PyTorch and Python.

On the basis of offerings, artificial intelligence in fashion market is segmented into solutions and services. Cognitive computing and artificial intelligence are increasing agility for retailers. Significant investments are being made by some of the leading IT companies as well as fashion retailers. In 2018, the retail industry invested approximately US$3.4 billion, more than any other sector, in artificial intelligence for capabilities such as expert shopping advisors, automated customer-service agents, and omnichannel merchandising. Thus, substantial investments and ongoing contracts among leading IT companies and fashion brands to develop advance software are propelling the growth of artificial intelligence in fashion market at a rapid pace. The solution segment led the artificial intelligence in fashion market in 2018 and is anticipated to dominate the market in the forecast period.

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The study conducts SWOT analysis to evaluate strengths and weaknesses of the key players in the Asia Pacific Artificial Intelligence in Fashion market. Further, the report conducts an intricate examination of drivers and restraints operating in the market. The report also evaluates the trends observed in the parent market, along with the macro-economic indicators, prevailing factors, and market appeal with regard to different segments. The report predicts the influence of different industry aspects on the Asia Pacific Artificial Intelligence in Fashion market segments and regions.

Asia Pacific Artificial Intelligence In Fashion Market Segmentation

By Offerings

  • Solutions
  • Services

By Deployment

  • On-Premise
  • Cloud-Based
  • By Application
  • Product Recommendation
  • Virtual Assistant
  • Product Search and Discovery
  • Creative Designing and Trend Forecasting
  • Customer Relationship Management
  • Others

By End-User Industry

  • Apparel
  • Accessories
  • Cosmetics
  • Others

The research on the Asia Pacific Artificial Intelligence in Fashion market focuses on mining out valuable data on investment pockets, growth opportunities, and major market vendors to help clients understand their competitor’s methodologies. The research also segments the Asia Pacific Artificial Intelligence in Fashion market on the basis of end user, product type, application, and demography for the forecast period 2020–2027. Comprehensive analysis of critical aspects such as impacting factors and competitive landscape are showcased with the help of vital resources, such as charts, tables, and infographics.

This report strategically examines the micro-markets and sheds light on the impact of technology upgrades on the performance of the Asia Pacific Artificial Intelligence in Fashion market.

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