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What's driving the Artificial Intelligence In Fashion Market Size trends? IBM, Google, Microsoft Corporation, Oracle Corporation, SAP SE Adobe Inc., Amazon Web Services, Inc., Catchoom Technologies S.L., Facebook, Inc., Huawei Technologies Co., Ltd.,

05-06-2020 08:50 PM CET | IT, New Media & Software

Press release from: Market Study Report LLC

Artificial Intelligence In Fashion Market

Artificial Intelligence In Fashion Market

Market Study Report LLC has added a new report on Artificial Intelligence In Fashion market that provides a comprehensive review of this industry with respect to the driving forces influencing the market size. Comprising the current and future trends defining the dynamics of this industry vertical, this report also incorporates the regional landscape of Artificial Intelligence In Fashion market in tandem with its competitive terrain.

The global artificial intelligence in fashion market accounted for US$ 270.0 Mn in 2018 and is expected to grow at a CAGR of 36.9% over the forecast period 2019-2027, to account for US$ 4,391.7 Mn in 2027.

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Some of the players present in artificial intelligence in fashion market are Adobe Inc., Amazon Web Services, Inc., Catchoom Technologies S.L., Facebook, Inc., Google LLC, Huawei Technologies Co., Ltd., IBM Corporation, Microsoft Corporation, Oracle Corporation, and SAP SE among others.

Driving factors such as availability of massive amount of data due to increasing proliferation of digital services across the globe, and real time consumer behavior insights and increased operational efficiency are driving the adoption of AI in fashion industry will drive the market during the forecast period and have a high impact in the short term. However, factors such as concerns related to data privacy and security is anticipated to hinder the market growth in the coming years.

AI integration in fashion plays a crucial role in sales, marketing, and customer-focused purposes. Initial adopters point toward the key impacts of technology in improving customer experience and decent growth in company revenue. Elevated customer experience helps the retailer to crack entirely new tactics of customer engagement and communication. With AI integration, the retailers can precisely spot the customers expected needs at precise times and offer the appropriate product to gain a competitive advantage. Some of the past initiatives taken in the fashion industry sector which has revolutionize the use of AI in the sector are North Face leveraging IBM Watsons ML technology to recommend more personalized apparel to the customers. Further, eBays AI integration helps their sellers sell more by better inventory management and pricing recommendations.

Also, several fashion brands are leveraging chatbot to improve the customer experience; Tommy Hilfigers Facebook Messenger chatbot offers consumers a custom-made and interactive shopping experience than customary online shopping. Besides, Sephora, Amazon, Target, ASOS, Stitch Fix, and Olay are other renowned fashion industry names in the list who have already integrated the AI solution to boost their sales and marketing strategy. The artificial intelligence in fashion market has been segmented on the basis of offerings, deployment, application, end-user industry, and geography. The artificial intelligence in fashion market based on offerings is sub-segmented into solution and services. The solution segment is expected to hold the prime market share in the artificial intelligence in fashion market.

The artificial intelligence in fashion market on the basis of deployment is segmented into cloud and on-premise. The cloud segment led the artificial intelligence in fashion market and it is anticipated to continue its dominance during the forecast period. The market for artificial intelligence in fashion by application is further segmented into product recommendation, virtual assistant, product search and discovery, creative designing and trend forecasting, customer relationship management, and others. The product recommendation segment led the artificial intelligence in the fashion market in 2018 and is expected to continue its dominance during the forecast period.

The overall artificial intelligence in fashion market size has been derived using both primary and secondary source. The research process begins with exhaustive secondary research using internal and external sources to obtain qualitative and quantitative information related to the artificial intelligence in fashion market. It also provides the overview and forecast for the global artificial intelligence in fashion market based on all the segmentation provided with respect to five major reasons such as North America, Europe, Asia-Pacific, the Middle East and Africa, and South America. Also, primary interviews were conducted with industry participants and commentators in order to validate data and analysis.

The participants who typically take part in such a process include industry expert such as VPs, business development managers, market intelligence managers, and national sales managers, and external consultant such as valuation experts, research analysts and key opinion leaders specializing in the artificial intelligence in fashion market.

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TABLE OF CONTENTS
1. Introduction
2. Key Takeaways
3. Research Methodology
4. Artificial Intelligence in Fashion Market Landscape
5. Artificial Intelligence in Fashion Market - Key Market Dynamics
6. Artificial Intelligence in Fashion Market - Global Market Analysis
7. Artificial Intelligence in Fashion Market - By Offerings
8. Artificial Intelligence in Fashion Market - By Deployment
9. Artificial intelligence in fashion Market - By Application
10. Artificial intelligence in fashion Market Analysis - By End User Industry
11. Artificial Intelligence in Fashion Market - Geographical Analysis
12. Artificial Intelligence in Fashion market - Industry Landscape
12.1 Overview
12.2 Market Initiative
12.3 New Development
13. Company Profiles
13.1 Adobe Inc.
13.1.1 Key Facts
13.1.2 Business Description
13.1.3 Products and Services
13.1.4 Financial Overview
13.1.5 SWOT Analysis
13.1.6 Key Developments
13.2 Alphabet Inc. (Google)
13.2.1 Key Facts
13.2.2 Business Description
13.2.3 Products and Services
13.2.4 Financial Overview
13.2.5 SWOT Analysis
13.2.6 Key Developments
13.3 Amazon.com, Inc.
13.3.1 Key Facts
13.3.2 Business Description
13.3.3 Products and Services
13.3.4 Financial Overview
13.3.5 SWOT Analysis
13.3.6 Key Developments
13.4 Catchoom
13.4.1 Key Facts
13.4.2 Business Description
13.4.3 Products and Services
13.4.4 Financial Overview
13.4.5 SWOT Analysis
13.4.6 Key Developments
13.5 Facebook Inc.
13.5.1 Key Facts
13.5.2 Business Description
13.5.3 Products and Services
13.5.4 Financial Overview
13.5.5 SWOT Analysis
13.5.6 Key Developments
13.6 Huawei Technologies Co., Ltd.
13.6.1 Key Facts
13.6.2 Business Description
13.6.3 Products and Services
13.6.4 Financial Overview
13.6.5 SWOT Analysis
13.6.6 Key Developments
13.7 IBM Corporation
13.8 Microsoft Corporation
13.9 Oracle Corporation
13.10 SAP SE
14. Appendix

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