AI in Fashion Retail Market: Global Industry Analysis, Trends, Market Size, and Forecasts up to 2026

The report on the global AI in fashion retail market provides qualitative and quantitative analysis for the period from 2018 to 2026. The report predicts the global AI in fashion retail market to grow with a CAGR of 40.37% over the forecast period from 2020-2026. The study on AI in fashion retail market covers the analysis of the leading geographies such as North America, Europe, Asia-Pacific, and RoW for the period of 2018 to 2026.

The report on AI in fashion retail market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global AI in fashion retail market over the period of 2018 to 2026. Moreover, the report is a collective presentation of primary and secondary research findings.

Porter's five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global AI in fashion retail market over the period of 2018 to 2026. Further, Growth Matrix gave in the report brings an insight into the investment areas that existing or new market players can consider.

Research Methodology

A) Primary Research
The primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents are approached include
1. Key Opinion Leaders
2. Internal and External subject matter experts
3. Professionals and participants from the industry

The primary research respondents typically include
1. Executives working with leading companies in the market under review
2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/ country managers
5. Vice President level executives.

B) Secondary Research
Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. Each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.

The secondary sources of the data typically include
1. Company reports and publications
2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and others.
5. Websites and publications by research agencies

Segment Covered
The global AI in fashion retail market is segmented on the basis of component, deployment mode, and application.

The Global AI in Fashion Retail Market by Component

• Software
• Services

The Global AI in Fashion Retail Market by Deployment Mode

• Cloud
• On-premises

The Global AI in Fashion Retail Market by Application

• Product Recommendation, Discovery, and Search
• Creative Designing and Trend Forecasting
• Virtual Assistant
• Customer Relationship Management
• Others

Company Profiles
The companies covered in the report include

• IBM Watson
• Stitch Fix company
• FINDMINE
• Intelistyle
• Lily AI
• Pttrns.ai
• Syte
• Microsoft
• SAP SE
• Oracle

What does this Report Deliver?
1. Comprehensive analysis of the global as well as regional markets of the AI in fashion retail market.
2. Complete coverage of all the segments in the AI in fashion retail market to analyze the trends, developments in the global market and forecast of market size up to 2026.
3. Comprehensive analysis of the companies operating in the global AI in fashion retail market. The company profile includes analysis of product portfolio, revenue, SWOT analysis, and the latest developments of the company.
4. Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand, and/or diversify.

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