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iCrowdNewswire Sep 24, 2020 7:13 AM ET

AI In Fashion Market Drives Future Change | Microsoft (US), IBM (US), Google (US), AWS (US), SAP (Germany)


iCrowd Newswire - Sep 24, 2020

Global Ai In Fashion Market Size Study, By Component (Solutions And Services), By Application (Product Recommendation, Product Search & Discovery, Supply Chain Management, Creative Designing, Crm, Virtual Assistants), By Deployment Mode(Cloud, On Premises), By Category, (Apparel, Accessories, Footwear, Beauty & Cosmetics, Jewelry), By End User (Fashion Designers, Fashion Stores) And Regional Forecasts 2026,  Covid 19 Outbreak Impact research report added by Report Ocean, is an in-depth analysis of market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography. It places the market within the context of the wider Ai In Fashion market, and compares it with other markets., market definition, regional market opportunity, sales and revenue by region, manufacturing cost analysis, Industrial Chain, market effect factors analysis, Ai In Fashion market size forecast, market data & Graphs and Statistics, Tables, Bar &Pie Charts, and many more for business intelligence. Understand the structure of the complete Report (Including Full TOC, List of Tables & Figures, Chart). – In-depth Analysis Pre & Post COVID-19 Market Estimates

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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.

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

Geographical Breakdown: Regional level analysis of the market, currently covering North America, Europe, China & Japan

Countries: Argentina; Australia; Austria; Belgium; Brazil; Canada; Chile; China; Colombia; Czech Republic; Denmark; Egypt; Finland; France; Germany; Hong Kong; India; Indonesia; Ireland; Israel; Italy; Japan; Malaysia; Mexico; Netherlands; New Zealand; Nigeria; Norway; Peru; Philippines; Poland; Portugal; Romania; Russia; Saudi Arabia; Singapore; South Africa; South Korea; Spain; Sweden; Switzerland; Thailand; Turkey; UAE; UK; USA; Venezuela; Vietnam

In-Depth Qualitative COVID 19 Outbreak Impact Analysis Include Identification And Investigation Of The Following Aspects: Market Structure, Growth Drivers, Restraints and Challenges, Emerging Product Trends & Market Opportunities, Porter’s Fiver Forces. The report also inspects the financial standing of the leading companies, which includes gross profit, revenue generation, sales volume, sales revenue, manufacturing cost, individual growth rate, and other financial ratios. The report basically gives information about the Market trends, growth factors, limitations, opportunities, challenges, future forecasts, and details about all the key market players.

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Changing Forecasts in a Time of Crisis: explores key issues, including:

Key questions answered: The Study Explore COVID 19 Outbreak Impact Analysis

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Key Points Covered in Ai In Fashion Market Report:

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)
1.2.3. AI in Fashion Market, by Application, 2017-2026 (USD Billion)
1.2.4. AI in Fashion Market, by Deployment Mode, 2017-2026 (USD Billion)
1.2.5. AI in Fashion Market, by Category, 2017-2026 (USD Billion)
1.2.6. AI in Fashion Market, by End-user, 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
2.2.1. Scope of the Study
2.2.2. Industry Evolution
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
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2016-2026)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
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
5.4.1. Solution
5.4.2. Services
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
6.4.1. Product Recommendation
6.4.2. Product Search and Discovery
6.4.3. Supply Chain Management and Demand Forecasting
6.4.4. Creative Designing and Trend Forecasting
6.4.5. Customer Relationship Management
6.4.6. Virtual Assistants
6.4.7. Others
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
7.3. Global AI in Fashion Market Estimates & Forecasts by Deployment Mode 2016-2026 (USD Billion)
7.4. AI in Fashion Market, Sub Segment Analysis
7.4.1. Cloud
7.4.2. On-Premises
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
8.4.1. Apparel
8.4.2. Accessories
8.4.3. Footwear
8.4.4. Beauty and Cosmetics
8.4.5. Jewellery and Watches
8.4.6. Others

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)
9.4. AI in Fashion Market, Sub Segment Analysis
9.4.1. Telecom & Data Communication
9.4.2. Fashion Designers
9.4.3. Fashion Stores
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
10.2.1.3. Deployment Mode breakdown estimates & forecasts, 2016-2026
10.2.1.4. Category breakdown estimates & forecasts, 2016-2026
10.2.1.5. End-user breakdown estimates & forecasts, 2016-2026
10.2.2. Canada AI in Fashion Market
10.3. Europe AI in Fashion Market Snapshot
10.3.1. U.K. AI in Fashion Market
10.3.2. Rest of Europe AI in Fashion Market
10.4. Asia-Pacific AI in Fashion Market Snapshot
10.4.1. China AI in Fashion Market
10.4.2. India AI in Fashion Market
10.4.3. Japan AI in Fashion Market
10.4.4. Rest of Asia Pacific AI in Fashion Market
10.5. Latin America AI in Fashion Market Snapshot
10.5.1. Brazil AI in Fashion Market
10.5.2. Mexico AI in Fashion Market
10.6. Rest of The World AI in Fashion Market

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
11.2.1.3. Financial (Subject to Data Availability)
11.2.1.4. Product Summary
11.2.1.5. Recent Developments
11.2.2. IBM (US)
11.2.3. Google (US)
11.2.4. AWS (US)
11.2.5. SAP (Germany)
11.2.6. Facebook (US)
11.2.7. Adobe (US)
11.2.8. Oracle (US)
11.2.9. Catchoom (Spain)
11.2.10. Huawei (China)
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. Research Assumption

Continued….

……..and view more in complete table of Contents

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