Press release
AI in Fashion Market is anticipated to grow at a CAGR of 40.8% by 2026| Google, AWS, SAP
AI in Fashion Market
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Global AI in Fashion Market is valued approximately USD 161.9 million in 2018 and is anticipated to grow with a healthy growth rate of more than 40.8% over the forecast period 2019-2026. The Fashion industry has adopted the latest AI technology which enhances the customer experience and increases the sales in the industry by increasing customization by suggesting similar clothing patterns according to customer needs. Also, the use of AI has brought in Automatic operations in the mundane tasks like data entry, calculations and more. Further, customer’s demand for a personalized experience, increasing need for inventory management and the growing influence of social media in the fashion industry has led to the adoption of AI in Fashion across the forecast period. Also, Identifying future fashion trends in advance with customer’s buying behavior analysis and Growing fast fashion retail has boosted the adoption of artificial intelligence in the fashion industry.
The regional analysis of global AI in Fashion market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading/significant region across the world in terms of market share owing to the growing social media adoption, the expansion of local enterprises and the government initiatives that are focused on advancements in the AI technology. Whereas, Asia-Pacific is also anticipated to exhibit highest growth rate / CAGR over the forecast period 2019-2026. Factors such as increasing population along with increasing disposable income has led to major investment of Tech giants would create lucrative growth prospects for the AI in Fashion market across Asia-Pacific region.
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Major market player included in this report are:
Microsoft (US), IBM (US), Google (US), AWS (US), SAP (Germany), Facebook (US), Adobe (US), Oracle (US), Catchoom (Spain), Huawei (China), Vue.ai (US), Heuritech (France), Wide Eyes (Spain), FINDMINE (US)
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Components:
Solution, Software Tools, Platforms, Services, Training and Consulting, System Integration and Testing, Support and Maintenance
By Applications:
Product Recommendation, Product Search and Discovery, Supply Chain Management and Demand Forecasting, Creative Designing and Trend Forecasting, Customer Relationship Management, Virtual Assistants, Others (Fraud detection, fabric waste reduction, and price optimization)
By Deployment Mode:
Cloud, On-premises
By Category:
Apparel, Accessories, Footwear, Beauty and Cosmetics, Jewelry and Watches, Others (eyewear, home decor)
By End-User:
Fashion Designers, Fashion Stores
Furthermore, years considered for the study are as follows:
Historical year – 2016, 2017
Base year – 2018
Forecast period – 2019 to 2026
Target Audience of the Global AI in Fashion Market in Market Study:
Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investor
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Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2017-2026 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global AI in Fashion Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global AI in Fashion Market Dynamics
3.1. AI in Fashion Market Impact Analysis (2018-2026)
3.1.1. Market Drivers
3.1.2. Market Challenges
3.1.3. Market Opportunities
Chapter 4. Global AI in Fashion Market Industry Analysis
4.1. Porter’s 5 Force Model
4.2. PEST Analysis
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global AI in Fashion Market, by Component
5.1. Market Snapshot
5.2. Global AI in Fashion Market by Component, Performance - Potential Analysis
5.3. Global AI in Fashion Market Estimates & Forecasts by Component 2016-2026 (USD Billion)
5.4. AI in Fashion Market, Sub Segment Analysis
Chapter 6. Global AI in Fashion Market, by Application
6.1. Market Snapshot
6.2. Global AI in Fashion Market by Application, Performance - Potential Analysis
6.3. Global AI in Fashion Market Estimates & Forecasts by Application 2016-2026 (USD Billion)
6.4. AI in Fashion Market, Sub Segment Analysis
....Continued
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About Author:
HTF Market Report is a wholly owned brand of HTF market Intelligence Consulting Private Limited. HTF Market Report global research and market intelligence consulting organization is uniquely positioned to not only identify growth opportunities but to also empower and inspire you to create visionary growth strategies for futures, enabled by our extraordinary depth and breadth of thought leadership, research, tools, events and experience that assist you for making goals into a reality. Our understanding of the interplay between industry convergence, Mega Trends, technologies and market trends provides our clients with new business models and expansion opportunities. We are focused on identifying the “Accurate Forecast” in every industry we cover so our clients can reap the benefits of being early market entrants and can accomplish their “Goals & Objectives”.
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