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Asia Pacific Artificial Intelligence in Fashion Market to 2027 - Regional Analysis and Forecasts by Offerings; Deployment; Application; End-User Industry

  • ID: 4876877
  • Report
  • November 2019
  • Region: Asia Pacific
  • 170 pages
  • The Insight Partners
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until Jun 30th 2020
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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. Further, an AI integrated search engine is expected to reshape the way fashion designers develop new product designs. Store operations and in-store services will also be greatly benefited from AI integration in the fashion industry.

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.

The artificial intelligence in fashion market by deployment type is segmented into on-premise and cloud. During the forecast period of 2019 to 2027, the cloud-based segment is anticipated to be the largest contributor in artificial intelligence in fashion market. The artificial intelligence in fashion market is experiencing a paradigm shift from traditional on-premise deployment to cloud-based deployments in the current scenario. This trend is predominantly driven by the presence of a new category of cloud-only solutions, which help in minimizing integration complexities and installation costs with quick setup.

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 an overview and forecast for the artificial intelligence in fashion market based on all the segmentation provided with respect to the Asia Pacifica region. Also, primary interviews were conducted with industry participants and commentators 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 consultants such as valuation experts, research analysts, and key opinion leaders specializing in the artificial intelligence in fashion market. 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.

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
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1. Introduction
1.1 Scope of the Study
1.2 Report Guidance
1.3 Market Segmentation
1.3.1 Asia Pacific Artificial Intelligence in Fashion Market - By Offerings
1.3.2 Asia Pacific Artificial Intelligence in Fashion Market - By Deployment
1.3.3 Asia Pacific Artificial Intelligence in Fashion Market - By Application
1.3.4 Asia Pacific Artificial Intelligence in Fashion Market - By End-User Industry
1.3.5 Asia Pacific Artificial Intelligence in Fashion Market - By Country

2. Key Takeaways

3. Research Methodology
3.1 Coverage
3.2 Secondary Research
3.3 Primary Research

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
7.3.1 Overview
7.3.2 Asia Pacific Solutions Market Revenue and Forecasts to 2027 (US$ Mn)
7.4 Services
7.4.1 Overview
7.4.2 Asia Pacific Services Market Revenue and Forecasts to 2027 (US$ Mn)

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
8.3.1 Overview
8.3.2 Asia Pacific On-premise Market Revenue and Forecasts to 2027 (US$ Mn)
8.4 Cloud
8.4.1 Overview
8.4.2 Asia Pacific Cloud Market Revenue and Forecasts to 2027 (US$ Mn)

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
9.3.1 Overview
9.3.2 Asia Pacific Product Recommendation Market Revenue and Forecasts to 2027 (US$ Mn)
9.4 Virtual Assistant
9.4.1 Overview
9.4.2 Asia Pacific Virtual Assistant Market Revenue and Forecasts to 2027 (US$ Mn)
9.5 Product Search and Discovery
9.5.1 Overview
9.5.2 Asia Pacific Product Search and Discovery Market Revenue and Forecasts to 2027 (US$ Mn)
9.6 Creative Designing and Trend Forecasting
9.6.1 Overview
9.6.2 Asia Pacific Creative Designing and Trend Forecasting Market Revenue and Forecasts to 2027 (US$ Mn)
9.7 Customer Relationship Management (CRM)
9.7.1 Overview
9.7.2 Asia Pacific Customer Relationship Management Market Revenue and Forecasts to 2027 (US$ Mn)
9.8 Others
9.8.1 Overview
9.8.2 Asia Pacific Others Market Revenue and Forecasts to 2027 (US$ Mn)

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
10.3.1 Overview
10.3.2 Asia Pacific Apparel Market Revenue and Forecasts to 2027 (US$ Mn)
10.4 Accessories
10.4.1 Overview
10.4.2 Asia Pacific Accessories Market Revenue and Forecasts to 2027 (US$ Mn)
10.5 Cosmetics
10.5.1 Overview
10.5.2 Asia Pacific Cosmetics Market Revenue and Forecasts to 2027 (US$ Mn)
10.6 Others
10.6.1 Overview
10.6.2 Asia Pacific Others Market Revenue and Forecasts to 2027 (US$ Mn)

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
11.1.1.1 Australia Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)
11.1.1.1.1 Australia Artificial Intelligence in Fashion Market Breakdown, By Offering
11.1.1.1.2 Australia Artificial Intelligence in Fashion Market Breakdown, By Deployment
11.1.1.1.3 Australia Artificial Intelligence in Fashion Market Breakdown, By Application
11.1.1.1.4 Australia Artificial Intelligence In Fashion Market Breakdown, By End-User Industry
11.1.1.2 China Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)
11.1.1.2.1 China Artificial Intelligence in Fashion Market Breakdown, By Offering
11.1.1.2.2 China Artificial Intelligence in Fashion Market Breakdown, By Deployment
11.1.1.2.3 China AI in Fashion Market Breakdown, By Application
11.1.1.2.4 China Artificial Intelligence In Fashion Market Breakdown, By End-User Industry
11.1.1.3 India Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)
11.1.1.3.1 India Artificial Intelligence in Fashion Market Breakdown, By Offering
11.1.1.3.2 India Artificial Intelligence in Fashion Market Breakdown, By Deployment
11.1.1.3.3 India Artificial Intelligence in Fashion Market Breakdown, By Application
11.1.1.3.4 India Artificial Intelligence In Fashion Market Breakdown, By End-User Industry
11.1.1.4 Japan Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)
11.1.1.4.1 Japan Artificial Intelligence in Fashion Market Breakdown, By Offering
11.1.1.4.2 Japan Artificial Intelligence in Fashion Market Breakdown, By Deployment
11.1.1.4.3 Japan Artificial Intelligence in Fashion Market Breakdown, By Application
11.1.1.4.4 Japan Artificial Intelligence In Fashion Market Breakdown, By End-User Industry
11.1.1.5 South Korea Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)
11.1.1.5.1 South Korea Artificial Intelligence in Fashion Market Breakdown, By Offering
11.1.1.5.2 South Korea Artificial Intelligence in Fashion Market Breakdown, By Deployment
11.1.1.5.3 South Korea Artificial Intelligence in Fashion Market Breakdown, By Application
11.1.1.5.4 South Korea Artificial Intelligence In Fashion Market Breakdown, By End-User Industry
11.1.1.6 Rest of APAC Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)
11.1.1.6.1 Rest of APAC Artificial Intelligence in Fashion Market Breakdown, By Offering
11.1.1.6.2 Rest of APAC Artificial Intelligence in Fashion Market Breakdown, By Deployment
11.1.1.6.3 Rest of APAC Artificial Intelligence in Fashion Market Breakdown, By Application
11.1.1.6.4 Rest of APAC Artificial Intelligence Market Breakdown, By End-User Industry

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
13.7.1 Key Facts
13.7.2 Business Description
13.7.3 Products and Services
13.7.4 Financial Overview
13.7.5 SWOT Analysis
13.7.6 Key Developments
13.8 Microsoft Corporation
13.8.1 Key Facts
13.8.2 Business Description
13.8.3 Products and Services
13.8.4 Financial Overview
13.8.5 SWOT Analysis
13.8.6 Key Developments
13.9 Oracle Corporation
13.9.1 Key Facts
13.9.2 Business Description
13.9.3 Products and Services
13.9.4 Financial Overview
13.9.5 SWOT Analysis
13.9.6 Key Developments
13.10 SAP SE
13.10.1 Key Facts
13.10.2 Business Description
13.10.3 Business Description
13.10.4 Financial Overview
13.10.5 SWOT Analysis
13.10.6 Key Developments

14. Appendix
14.1 About the Publisher
14.2 Glossary
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  • Adobe Inc.
  • Amazon.com, Inc.
  • Catchoom
  • Facebook, Inc.
  • Google, Inc. (Alphabet Inc.)
  • Huawei Technologies Co., Ltd
  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
Note: Product cover images may vary from those shown
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