According to HTF MI, the AI in The Fashion Market is expected to register a CAGR of 20% during the forecast period to 2030

PUNE, MAHARASHTRA, INDIA, October 17, 2024 /EINPresswire.com/ -- Global AI in The Fashion Market In-depth Research Report 2023, Forecast to 2030 is the latest research study released by HTF MI evaluating the market risk side analysis, highlighting opportunities, and leveraging strategic and tactical decision-making support. The report provides information on market trends and development, growth drivers, technologies, and the changing investment structure of the Global AI in The Fashion Market. Some of the key players profiled in the study are IBM, Google, Amazon, Stitch Fix, ASOS, Zalando, Alibaba, H&M, Vogue Business, The Yes, Thread, Vue.ai, Edited, Fashmates, ShopRunner, and Stylebook.

The AI in The Fashion Market is estimated to reach USD 8.0 billion by 2030, currently pegged at USD 3.0 billion. In 2019 the market size was ~ USD 1.5 billion since then the growth rate of 20 % was witnessed in the market.

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Global AI in The Fashion Market Overview:
AI in fashion refers to the application of artificial intelligence technologies to various aspects of the fashion industry, including design, retail, and supply chain management. The integration of AI enables brands to analyze trends, optimize inventory, and enhance customer experience through personalized shopping. The market is witnessing significant growth driven by the demand for personalized fashion experiences and the expansion of online shopping platforms. Trends include the adoption of virtual fitting rooms and AI-driven design tools, although challenges such as resistance from traditional retailers and concerns over data privacy remain.

𝐌𝐚𝐫𝐤𝐞𝐭 𝐓𝐫𝐞𝐧𝐝𝐬:
Growth of virtual fitting rooms, enhanced customer experience through AI

𝐌𝐚𝐫𝐤𝐞𝐭 𝐃𝐫𝐢𝐯𝐞𝐫𝐬:
Increasing demand for personalization in fashion, rise of online shopping

𝐌𝐚𝐫𝐤𝐞𝐭 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬:
Resistance to change from traditional retailers, data privacy concerns

Global AI in The Fashion Market: Demand Analysis & Opportunity Outlook 2030

This report examines the size of the global AI in The Fashion market by country and segment, estimating values over the next six years based on historical data. Included in the study are both quantitative and qualitative aspects of the global AI in The Fashion industry, such as market share and market size (value and volume) for the years 2019 to 2023 and 2030, respectively, that evaluate each nation in the competitive global market. In addition, the research addresses and offers comprehensive data regarding the essential components of the Global AI in The Fashion market, such as the factors that propel and hinder growth and aid in projecting the industry's future potential.

The segments and sub-sections of the Global AI in The Fashion market is shown below:

The Study is segmented by the following Product/Service Type: Trend Forecasting, Virtual Fitting Rooms, Supply Chain Management

Major applications/end-users industry are as follows: Retail, E-commerce, Fashion Design

Some of the key players involved in the Market are: IBM, Google, Amazon, Stitch Fix, ASOS, Zalando, Alibaba, H&M, Vogue Business, The Yes, Thread, Vue.ai, Edited, Fashmates, ShopRunner, Stylebook

Important years considered in the Global AI in The Fashion study:
Historical year – 2019-2023; Base year – 2023; Forecast period** – 2024 to 2030 [** unless otherwise stated]

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By region, North America, Europe has shown clear dominance in AI in The Fashion market sizing, and the Asia-Pacific region has witnessed the fastest growth and will continue at the same pace till 2030.
If opting for the Global version of the Global AI in The Fashion Market; then the below country analysis would be included:
• North America (the USA, Canada, and Mexico)
• Europe (Germany, France, the United Kingdom, Netherlands, Italy, Nordic Nations, Spain, Switzerland, and the Rest of Europe)
• Asia-Pacific (China, Japan, Australia, New Zealand, South Korea, India, Southeast Asia, and the Rest of APAC)
• South America (Brazil, Argentina, Chile, Colombia, the Rest of the countries, etc.)
• the Middle East and Africa (Saudi Arabia, United Arab Emirates, Israel, Egypt, Turkey, Nigeria, South Africa, Rest of MEA)

Key Questions Answered with this Study
1) What makes the Global AI in The Fashion Market feasible for long-term investment?
2) Know value chain areas where players can create value.
3) Teritorry that may see a steep rise in CAGR & Y-O-Y growth?
4) What geographic region would have better demand for products/services?
5) What opportunity emerging territory would offer to established and new entrants in the Global AI in The Fashion market?
6) Risk side analysis connected with service providers?
7) How influencing are factors driving the demand of Global AI in The Fashion in the next few years?
8) What is the impact analysis of various factors in the Global AI in The Fashion market growth?
9) What strategies of big players help them acquire a share in a mature market?
10) How Technology and Customer-Centric Innovation is Bringing Big Change in the Global AI in The Fashion Market?

𝐑𝐞𝐚𝐝 𝐃𝐞𝐭𝐚𝐢𝐥𝐞𝐝 𝐈𝐧𝐝𝐞𝐱 𝐨𝐟 𝐟𝐮𝐥𝐥 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐒𝐭𝐮𝐝𝐲 𝐚𝐭 👉 https://www.htfmarketreport.com/reports/4338392-global-ai-in-the-fashion-industry-market-growth

There are 15 Chapters to display the Global AI in The Fashion Market
Chapter 1, Overview to Describe Definition, Specifications, and Classification of Global AI in The Fashion market, Applications [Retail, E-commerce, Fashion Design], Market Segment by Types, AI in The Fashion markets by type, Node Component, Network Infrastructure & Solution;
Chapter 2, the objective of the study.
Chapter 3, Research methodology, measures, assumptions, and analytical tools
Chapters 4 and 5, Global AI in The Fashion Market Trend Analysis, Drivers, Challenges by Consumer Behavior, Marketing Channels, Value Chain Analysis
Chapters 6 and 7, show the Global AI in The Fashion Market Analysis, segmentation analysis, characteristics;
Chapters 8 and 9, show Five forces (bargaining power of buyers/suppliers), Threats to new entrants, and market conditions;
Chapters 10 and 11, show analysis by regional segmentation [In North America, Latin America, Europe, Asia-Pacific, Middle East and Africa (MEA), What are the main countries covered? The United States, Canada, Germany, France, UK, Italy, Russia, China, Japan, Korea, Southeast Asia, India, Australia, Brazil, Mexico, Argentina, Chile, Colombia, Egypt, Saudi Arabia, United Arab Emirates, Nigeria & South Africa], comparison, leading countries, and opportunities; Customer Behaviour
Chapter 12, identifies the major decision framework accumulated through Industry experts and strategic decision-makers;
Chapters 13 and 14, are about the competitive landscape (classification and Market Ranking)
Chapter 15, deals with Global AI in The Fashion Market sales channel, research findings, conclusion, appendix, and data source.

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Thanks for showing interest in Global AI in The Fashion Industry Research Publication; you can also get individual chapter-wise sections or region-wise report versions like North America, LATAM, United States, GCC, Southeast Asia, Europe, APAC, Japan, United Kingdom, India or China, etc

Nidhi Bhawsar
HTF Market Intelligence Consulting Private Limited
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