DUBLIN–(BUSINESS WIRE)–The “Fashionable AI in Global Market Report 2022” report has been added to ResearchAndMarkets.com’s The offer of
The global artificial intelligence in fashion market is expected to grow from USD 0.47 billion in 2021 to USD 0.65 billion in 2022 at a compound annual growth rate (CAGR) of 40.0%. The artificial intelligence in fashion market is expected to grow to USD 2.66 billion by 2026 at a CAGR of 42.1%.
North America was the largest region in the AI fashion market in 2021. Asia Pacific is expected to be the fastest growing region during the forecast period. Regions covered in AI in fashion report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
The growing influence of social media on the fashion industry is fueling the growth of AI in the fashion market. Social media is the main source of information for the fashion industry as there are many opinions and information from all sources globally. Fashion today is largely dependent on brand promotion and fashion influencers using social media to communicate their views on fashion.
For example, according to the Influencer Marketing Center, a social media resource for influencers, the market for influencer marketing grew from $9.7 billion in 2020 to $13.8 billion in 2021. The growing popularity of short video formats on platforms like TikTok, Facebook and YouTube, as well as the impact of the global pandemic on consumers, which catalyzed social media consumption, and the optimization of data collection, which marketers used for social media advertising, are all contributing to this growth. Such growing influence of social media is driving the growth of the market.
Machine learning is shaping AI in the fashion market. Machine learning is a part of artificial intelligence which defines the machine’s abilities to copy human behavior. A machine can understand the visualization and perform an action that helps provide better information and suggestions to customers according to their behavior. For example, in April 2021, Tommy Hilfiger, a well-known designer fashion brand applied machine learning tools to product images of 15,000 and 600,000 publicly available runway images and almost 100,000 pages of fabric patterns. Applied artificial intelligence provided insight into Tommy Hilfiger’s trending colors, patterns, silhouettes.
In September 2021, Syte, an Israel-based software development company acquired Slyce for an undisclosed amount. Through this acquisition, Syte wants to expand its market in North America and support new and old customers. Slyce, is a US-based visual search company that has integrated applications and website technologies for more than 60 retailers.
Scope
Markets covered:
1) By category: Clothing; Accessories; Shoes; Beauty And Cosmetics; imitation jewelry
2) By deployment mode: Cloud; In the premise
3) By components: Solutions; service
4) By application: Customer Relationship Management; Virtual assistants; Product recommendation; Product research and discovery; Supply Chain Management and Demand Forecasting; Creative Design and Trend Forecasting
5) By End Users: Fashion Designers; Fashion Stores
Main topics covered:
1. Executive summary
2. AI in Fashion Market Features
3. AI in Fashion Market Trends and Strategies
4. Impact of COVID-19 on AI in fashion
5. AI in fashion market size and growth
6. AI in Fashion Market Segmentation
7. IA in Regional and Country Analysis of the Fashion Market
8. Asia-Pacific Artificial Intelligence in Fashion Market
9. China’s artificial intelligence in the fashion market
10. India AI in Fashion Market
11. Japan AI in the Fashion Market
12. Australia’s AU Fashion Market
13. Indonesia AI in Fashion Market
14. South Korea’s Artificial Intelligence in the Fashion Market
15. IA of Western Europe in the Fashion Market
16. UA UK Fashion Market
17. Germany AI in the Fashion Market
18. France AI in the Fashion Market
19. Eastern European Artificial Intelligence in the Fashion Market
20. AI of Russia in the Fashion Market
21. North American Artificial Intelligence in Fashion Market
22. UA in the USA in the Fashion Market
23. South American Artificial Intelligence in the Fashion Market
24. Brazil AI in the Fashion Market
25. Middle Eastern AI in the Fashion Market
26. Africa AI in the Fashion Market
27. AI in the Fashion Market Competitive Landscape and Company Profiles
28. Major AI mergers and acquisitions in the fashion market
29. AI in Fashion Market Future Outlook and Potential Analysis
30. Appendix
The companies mentioned
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Microsoft
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IBM
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AWS
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SAP
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Facebook
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Adobe
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The burden
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Catchroom
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Huawei
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Vue.ai
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Heuritech
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Wide eyes
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FIND IT
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Intelistyle
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Lily AI
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Pttrns.ai
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eyes
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fashion.ai
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Stitch adjustment
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Lily AI
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brewmaster
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Alphabet Inc. (Google)
For more information about this report, visit https://www.researchandmarkets.com/r/glamn1
