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AI in Fashion Market

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The global ai in fashion market size grew from $0.65 billion in 2022 to $0.91 billion in 2023 at a compound annual growth rate (CAGR) of 40.0%. – PowerPoint PPT presentation

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Title: AI in Fashion Market


1
AI In Fashion Global Market Report 2023
Market Size, Trends and Global Forecast 2023-2032
2
AI In Fashion Market Definition
AI-in fashion refers to an advisor that is being
used to recommend clothes based on the customers
height, weight, shape, and current size. AI in
fashion is used in product recommendation,
product search and discovery, supply chain
management and demand planning, creative
designing and trend forecasting, customer
relationship management, virtual assistant,
others.
Click Here To Read More Insights on This Report
3
AI In Fashion Market Characteristics
The global ai in fashion market size grew from
0.65 billion in 2022 to 0.91 billion in 2023 at
a compound annual growth rate (CAGR) of 40.0.
The ai in fashion market size is expected to grow
to 3.72 billion in 2027 at a CAGR of 42.0.
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4
AI In Fashion Market Segments
The report covers the AI In Fashion markets
segments-
By Distribution Channel


By Source
By Nature
Apparels, Accessories, Footwear, Beauty And
Cosmetics, Jewelry
Cloud, On-premise
Solution, Services
5
Major companies in the market include
Key Market Players
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6
11 reasons why TBRC is the solution you need
  1. Measure the impact of high global inflation on
    market growth
  2. Market sizing information from 2017 to 2023 and
    forecasted to 2032
  3. Assess the Russia-Ukraine wars impact on
    commodity supply and its direct and indirect
    impact on all the markets
  4. Understand how the market has been impacted by
    the COVID-19 pandemic
  5. Gain a truly global perspective with the most
    comprehensive report available on the market
    covering 60 geographies
  6. Create regional and country strategies on the
    basis of local data and analysis
  7. Identify growth segments for investment
  8. Outperform competitors using forecast data and
    the drivers and trends shaping the market
  9. Understand customers based on the latest market
    shares
  10. Benchmark performance against key competitors
  11. And more

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