DUBLIN--(BUSINESS WIRE)--The "Asia Pacific Artificial Intelligence in Fashion Market to 2027 - Regional Analysis and Forecasts by Offerings; Deployment; Application; End-User Industry" report has been added to ResearchAndMarkets.com's offering.

The Asia Pacific artificial intelligence in fashion market accounted for US$ 55.1 Mn in 2018 and is expected to grow at a CAGR of 39.0% over the forecast period 2019-2027, to account for US$ 1015.8 Mn in 2027.

Real-time consumer behavior insights and increased operational efficiency are driving the adoption of artificial intelligence in fashion industry. Moreover, the availability of a large amount of data originating from different data sources is one of the key factors driving the growth of AI technology across the fashion industry.

Artificial Intelligence has already disrupted several industries, including the retail and fashion industry. The fashion industry so far has been one of the primary adopters of the technology. The fashion retailers these days are leveraging several revolutionary technologies, including machine learning, like augmented reality (AR) and artificial intelligence (AI), to make seamless shopping experiences across the channels, from online models to brick and mortar stores. Fashion retailers are progressively moving towards the AI integration within their supply chain, where more focus is being on customer-facing AI initiatives.

The artificial intelligence in fashion market is fragmented in nature due to the presence of several end-user industries, and the competitive dynamics in the market are anticipated to change during the coming years. In addition to this, various initiatives are undertaken by governmental bodies to accelerate the artificial intelligence in fashion market further.

The governments of various countries in this region are trying to attract FDIs in the technology sector with the increasing need for enhanced technology-related services. For instance, China's government relaxed the restrictions on new entries with an objective to encourage overseas and private capital to invest in its economy. This factor is anticipated to drive the demand for artificial intelligence in fashion market in this region.

Reasons to Buy

• Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the Asia Pacific artificial intelligence in fashion market
• Highlights key business priorities in order to assist companies to realign their business strategies
• The key findings and recommendations highlight crucial progressive industry trends in the Asia Pacific artificial intelligence in fashion market, thereby allowing players across the value chain to develop effective long-term strategies
• Develop/modify business expansion plans by using substantial growth offering developed and emerging markets
• Scrutinize in-depth Asia Pacific market trends and outlook coupled with the factors driving the market, as well as those hindering it
• Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to client products, segmentation, pricing and distribution
  

Key Topics Covered:

1. Introduction

2. Key Takeaways

3. Research Methodology

4. Artificial Intelligence in Fashion Market Landscape

4.1 Market Overview

4.2 PEST Analysis - Asia Pacific

4.3 Ecosystem Analysis

4.4 Expert Opinions

5. Artificial Intelligence in Fashion Market - Key Market Dynamics

5.1 Key Market Drivers

5.1.1 Accessibility of massive amount of data from different data sources

5.1.2 Real time consumer behaviour insights and increased operational efficiency are driving the adoption of AI in fashion industry

5.2 Key Market Restraints

5.2.1 Concerns associated with data privacy and security

5.3 Key Market Opportunities

5.3.1 Advent of Natural Language Programming (NLP) to fashion industry

5.4 Future Trend

5.4.1 Prediction of Fashion Trends With AI

5.5 Impact Analysis of Drivers and Restraints

6. Artificial Intelligence in Fashion Market - Asia Pacific Market Analysis

6.1 Overview

6.2 Asia Pacific Artificial Intelligence in Fashion Market Forecast and Analysis

6.3 Market Positioning - Five Key Players

7. Asia Pacific Artificial Intelligence in Fashion Market - By Offerings

7.1 Overview

7.2 Asia Pacific Artificial Intelligence in Fashion Market Breakdown, by Offerings, 2018 & 2027

7.3 Solutions

7.4 Services

8. Asia Pacific Artificial Intelligence in Fashion Market - By Deployment

8.1 Overview

8.2 Asia Pacific Artificial Intelligence in Fashion Market Breakdown, by Deployment, 2018 & 2027

8.3 On-premise

8.4 Cloud

9. Asia Pacific Artificial intelligence in fashion Market - By Application

9.1 Overview

9.2 Asia Pacific Artificial intelligence in fashion Market Breakdown, By Application, 2018 & 2027

9.3 Product Recommendation

9.4 Virtual Assistant

9.5 Product Search and Discovery

9.6 Creative Designing and Trend Forecasting

9.7 Customer Relationship Management (CRM)

9.8 Others

10. Asia Pacific Artificial intelligence in fashion Market Analysis - By End User Industry

10.1 Overview

10.2 Asia Pacific Artificial intelligence in fashion Market Breakdown, By End User Industry, 2018 & 2027

10.3 Apparel

10.4 Accessories

10.5 Cosmetics

10.6 Others

11. Asia Pacific Artificial Intelligence in Fashion Market - Country Analysis

11.1 Overview

11.1.1 APAC Artificial Intelligence in Fashion Market Breakdown, By Key Country

11.1.1.2 China Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)

11.1.1.3 India Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)

11.1.1.4 Japan Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)

11.1.1.5 South Korea Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)

11.1.1.6 Rest of APAC Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)

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.

13.2 Alphabet Inc. (Google)

13.3 Amazon.com, Inc.

13.4 Catchoom

13.5 Facebook Inc.

13.6 Huawei Technologies Co., Ltd.

13.7 IBM Corporation

13.8 Microsoft Corporation

13.9 Oracle Corporation

13.10 SAP SE

For more information about this report visit https://www.researchandmarkets.com/r/cw9ef5

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