Press release
Global AI in Fashion Market valued USD 161.9 million healthy growth rate of more than 40.8% forecast 2019-2026| Key Players- Microsoft, IBM, Google, AWS, SAP, Facebook, Adobe, Oracle, Catchoom etc.
AI in Fashion Market
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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.
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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.
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
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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Furthermore, years considered for the study are as follows:
Historical year – 2016, 2017
Base year – 2018
Forecast period – 2019 to 2026
Major Points Covered in Table of Contents:
Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2017-2026 (USD Billion)
1.2.1. AI in Fashion Market, by Region, 2017-2026 (USD Billion)
1.2.2. AI in Fashion Market, by Component, 2017-2026 (USD Billion)
...
Chapter 2. Global AI in Fashion Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
...
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
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
...
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)
..
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)
...
Chapter 7. Global AI in Fashion Market, by Deployment Mode
7.1. Market Snapshot
7.2. Global AI in Fashion Market by Deployment Mode, Performance - Potential Analysis
...
Chapter 8. Global AI in Fashion Market, by Category
8.1. Market Snapshot
8.2. Global AI in Fashion Market by Component, Performance - Potential Analysis
8.3. Global AI in Fashion Market Estimates & Forecasts by Component 2016-2026 (USD Billion)
8.4. AI in Fashion Market, Sub Segment Analysis
...
Chapter 9. Global AI in Fashion Market, by End-user
9.1. Market Snapshot
9.2. Global AI in Fashion Market by End-user, Performance - Potential Analysis
9.3. Global AI in Fashion Market Estimates & Forecasts by End-user 2016-2026 (USD Billion)
...
Chapter 10. Global AI in Fashion Market, Regional Analysis
10.1. AI in Fashion Market, Regional Market Snapshot
10.2. North America AI in Fashion Market
10.2.1. U.S. AI in Fashion Market
10.2.1.1. Component breakdown estimates & forecasts, 2016-2026
10.2.1.2. Application breakdown estimates & forecasts, 2016-2026
...
Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. Microsoft (US)
11.2.1.1. Key Information
11.2.1.2. Overview
...
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
...
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Orian Research is one of the most comprehensive collections of market intelligence reports on The World Wide Web. Our reports repository boasts of over 500000+ industry and country research reports from over 100 top publishers. We continuously update our repository so as to provide our clients easy access to the world's most complete and current database of expert insights on global industries, companies, and products. We also specialize in custom research in situations where our syndicate research offerings do not meet the specific requirements of our esteemed clients.
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