The global artificial intelligence in fashion market was valued at USD 700 million in 2022 and is estimated to reach a value of USD 6 billion by 2033 with a CAGR of 35% during the forecast period.
A new key study report on the Artificial Intelligence In Fashion market has been added by Analytics Market study. The goal of the research is to give international investors a revolutionary tool for making decisions about the Artificial Intelligence In Fashion market. The research study will contain key statistics, including total revenues, total sales, key products, important drivers, and obstacles, as well as the market’s overall worldwide revenues with historical analysis. With a trustworthy in-depth overview of the Artificial Intelligence In Fashion market, the report’s data is drawn from numerous primary and secondary information sources.
The study paper uses international governing bodies as its main data sources and includes objective growth estimates as well as independent projection analyses.The market share of significant stakeholders will also be examined in the Artificial Intelligence In Fashion research report in their role as global scale-transformers. Key product offerings, key differentiators, revenue share, market size, market status, and strategies will all be included in this qualitative and quantitative research. Key agreements, partnerships, and collaborations that are about to alter the dynamics of the market globally will also be covered in the report.
The fashion business has recently undergone a rapid transformation thanks to artificial intelligence (AI). The growing demand for personalised shopping experiences as well as the requirement for more efficient and sustainable supply chains are anticipated to drive the growth of the artificial intelligence (AI) in fashion market in the upcoming years. The term “AI in fashion” refers to the application of machine learning algorithms and other AI technologies to enhance various facets of the fashion industry, including supply chain management, design, and manufacturing. Personalized suggestions and improved customer experiences are two of AI’s major benefits in the fashion industry.
Customers can receive personalised suggestions from chatbots powered by AI, for instance, based on their preferences and previous purchases. This helps retailers increase sales and boost consumer loyalty while also enhancing the customer experience. Supply chain management optimisation is yet another benefit of AI in the apparel industry. AI can assist retailers in improved demand forecasting, inventory management, and waste reduction, resulting in more effective and sustainable supply chains. AI can assist retailers in minimising product returns and enhancing customer happiness by identifying and resolving quality control issues early on.
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Company Profiles:
• Adobe Inc.
• Amazon Web Services, Inc.
• Catchoom Technologies S.L.
• Facebook, Inc.
• Huawei Technologies Co. Ltd.
• IBM Corporation
• Intel Corporation
• Microsoft Corporation
• Oracle Corporation
• SAP SE
• Sentient Technologies Holdings Limited
• Syte.ai Ltd.
• ViSenze Pte Ltd.
• Wide Eyes Technologies
• Ximilar s.r.o.
Segmentation:
By Component:
• Software
• Services
By Deployment Mode:
• Cloud
• On-Premises
By Application:
• Product Design and Development
• Supply Chain Management
• Customer Service and Experience
Geography:
North America is expected to dominate the AI in fashion market due to the high adoption of AI technologies in the fashion industry in this region. The United States is one of the largest markets for AI technology in the world, and the fashion industry is no exception. Major fashion brands and retailers in the US are increasingly adopting AI-powered solutions to provide personalized shopping experiences, optimize their supply chains, and improve their product design and development processes. Europe is also expected to be a significant market for AI in fashion, driven by the presence of major fashion brands and retailers in the region, as well as a high level of technological advancement. The Asia Pacific region is also expected to grow rapidly, with countries such as China and Japan investing heavily in AI technologies for the fashion industry.
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Key Points:
- Define, describe and forecast Artificial Intelligence In Fashion product market by type, application, end user and region.
- Provide enterprise external environment analysis and PEST analysis.
- Provide strategies for company to deal with the impact of COVID-19.
- Provide market dynamic analysis, including Artificial Intelligence In Fashion driving factors, market development constraints.
- Provide market entry strategy analysis for new players or players who are ready to enter the market, including market segment definition, client analysis, distribution model, product messaging and positioning, and price strategy analysis.
- Keep up with international Artificial Intelligence In Fashion trends and provide analysis of the impact of the COVID-19 epidemic on major regions of the world.
- Analyze the Artificial Intelligence In Fashion opportunities of stakeholders and provide market leaders with details of the competitive landscape.
