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ファッションの人工知能市場:ソリューション・サービス毎、用途毎(製品推薦、製品検索・発見、顧客関係管理)、採用モード毎、カテゴリー毎(アパレル、アクセサリ、美容・化粧品)、エンドユーザ毎、地域毎 - 2024年までの世界市場予測

AI in Fashion Market by Component (Solutions and Services), Application (Product Recommendation, Product Search & Discovery, and CRM), Deployment Mode, Category, (Apparel, Accessories, and Beauty & Cosmetics), End User, and Region - Global Forecast to 2024

 

出版社 出版年月電子版価格 ページ数図表数
MarketsandMarkets
マーケッツアンドマーケッツ
2019年10月US$4,950
シングルユーザライセンス
176 167

サマリー

幅広い市場に関する調査レポートを出版しているマーケッツアンドマーケッツ(MarketsandMarkets)のファッションの人工知能市場に関する調査レポートです。

Customer’s demand for a personalized experience to drive the adoption of AI in fashion across end-users

MarketsandMarkets expects the global AI in fashion market to grow from USD 228 million in 2019 to USD 1,260 million by 2024, at a Compound Annual Growth Rate (CAGR) of 40.8% during the forecast period. Major growth factors for the market include increasing need for inventory management, customer’s demand for a personalized experience, and the growing influence of social media in the fashion industry. However, integration with the legacy system would limit market growth.

Fashion designer end-user segment to grow at a higher CAGR during the forecast period

Based on end-user, the AI in the fashion market is divided into fashion designers and fashion stores. The fashion stores comprises online and offline brand stores. Popular fashion designers are using AI solutions to have an in-depth understanding of people, culture, and their anthropological aspect to bring new designs to the market. Moreover, with the help of AI system designers can listen to social media’s trending gossips on current fashion inclination, colors, patterns, and styles that help them launch new products as per market demand. The companies such as Amazon and Glitch have launched AI-powered solution that can curate current fashion data and design new stylish clothing similar to human designs. The designers such as Falguni and Shane Peacock are using AI-powered solutions to introduce their latest collection designed by AI solutions.

Cloud deployment mode to hold a higher market share during the forecast period

Organizations have been gradually recognizing the importance of AI in the fashion industry and have started deploying them as per their needs including inventory management, designing, manufacturing, and sales and marketing. Most of the SMEs are adopting SDKs, APIs, and ML models that can be easily deployed on the cloud and does not need infrastructure in the premises. Due to ease of use and low-cost SMEs are moving on cloud deployment compared to on-premises.
AI in the fashion market in Asia Pacific (APAC) to grow at the highest CAGR during the forecast period

The high growth in the APAC market is attributed to the significant growth potential, increasing social media adoption, and rising digitalization with an increasing need to remain globally competitive. Furthermore, the inclination of APAC countries toward emerging technologies such as 3G and 4G is also expected to fuel the growth of the AI in the fashion market. However, the lack of technological awareness, privacy issues, and limited technical expertise in advanced technologies remain significant hurdles in the AI in fashion adoption across the region. The cloud-based AI in fashions present an optimal solution for these countries by minimizing integration complexities and installation costs.

In-depth interviews were conducted with the Chief Executive Officers (CEOs), Chief Technology Officers (CTOs), Chief Operating Officers (COOs), Vice Presidents (VPs), Managing Directors (MDs), technology and innovation directors, and related key executives from various key companies and organizations operating in the AI in fashion market.

- By Company - Tier 1-27%, Tier 2-42%, and Tier 3-31%
- By Designation - C-Level-45%, Director Level-41%, and Others-14%
- By Region - North America-31%, Europe-36%, and APAC-19%, MEA-8%, Latin America -6%

The AI in fashion market comprises major solution providers such as 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), Intelistyle (England), Lily AI (US), Pttrns.ai (Netherlands), Syte (Israel), mode.ai (US),  and Stitch Fix (US). The study includes an in-depth competitive analysis of these key players in the AI in the fashion market with their company profiles, recent developments, and key market strategies.

Research Coverage

The AI in fashion market revenue is classified primarily into revenues from solution and services. Solution revenue is associated with the platforms and software tools, while services’ revenue is associated with training and consulting system integration and testing, and support and maintenance services. The market is also segmented based on component, deployment mode, applications, category, end-user, and region.

Key benefits of the report

The report would help the market leaders/new entrants in the market with the information on the closest approximations of the revenue numbers for the overall AI in the fashion market and the subsegments. The report would help stakeholders understand the competitive landscape and gain insights to better position their businesses and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on the key market drivers, restraints, challenges, and opportunities.



目次

1 INTRODUCTION 19
1.1 OBJECTIVES OF THE STUDY 19
1.2 MARKET DEFINITION 19
1.2.1 INCLUSIONS AND EXCLUSIONS 20
1.3 MARKET SCOPE 20
1.4 YEARS CONSIDERED FOR THE STUDY 21
1.5 CURRENCY CONSIDERED 22
1.6 STAKEHOLDERS 22
2 RESEARCH METHODOLOGY 23
2.1 RESEARCH DATA 23
2.1.1 SECONDARY DATA 24
2.1.2 PRIMARY DATA 24
2.1.2.1 Breakdown of primary profiles 24
2.1.2.2 Key industry insights 25
2.2 MARKET BREAKDOWN AND DATA TRIANGULATION 26
2.3 MARKET SIZE ESTIMATION 26
2.3.1 TOP-DOWN APPROACH 27
2.3.2 BOTTOM-UP APPROACH 27
2.4 MARKET FORECAST 28
2.5 ASSUMPTIONS FOR THE STUDY 29
2.6 LIMITATIONS OF THE STUDY 29
3 EXECUTIVE SUMMARY 30
4 PREMIUM INSIGHTS 35
4.1 ATTRACTIVE OPPORTUNITIES IN THE ARTIFICIAL INTELLIGENCE IN FASHION MARKET 35
4.2 ARTIFICIAL INTELLIGENCE IN FASHION MARKET: TOP 4 CATEGORIES 35
4.3 ARTIFICIAL INTELLIGENCE IN FASHION MARKET: TOP 3 APPLICATIONS AND REGIONS 36
4.4 ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY APPLICATION 36
5 MARKET OVERVIEW AND INDUSTRY TRENDS 38
5.1 INTRODUCTION 38
5.2 MARKET DYNAMICS 38
5.2.1 DRIVERS 39
5.2.1.1 Customer demand for personalized experience 39
5.2.1.2 Increasing need for inventory management 39
5.2.1.3 Growing influence of social media on the fashion industry 40
5.2.2 RESTRAINTS 40
5.2.2.1 Integration with legacy systems 40
5.2.3 OPPORTUNITIES 40
5.2.3.1 Identifying future fashion trends by analyzing customer buying behavior 40
5.2.3.2 Growth of fast fashion retail to boost the adoption of AI in the fashion industry 41
5.2.4 CHALLENGES 41
5.2.4.1 Incorporating cultural differentiation in fashion trends 41
5.3 TECHNOLOGIES THAT IMPACT FASHION INDUSTRY 41
5.3.1 MACHINE LEARNING 41
5.3.2 DEEP LEARNING 42
5.3.3 NATURAL LANGUAGE PROCESSING 42
5.3.4 AUGMENTED REALITY/VIRTUAL REALITY 42
5.4 USE CASES 42
5.4.1 USE CASE: SCENARIO 1 43
5.4.2 USE CASE: SCENARIO 2 43
5.4.3 USE CASE: SCENARIO 3 43
5.4.4 USE CASE: SCENARIO 4 44
5.4.5 USE CASE: SCENARIO 5 44
6 ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY COMPONENT 45
6.1 INTRODUCTION 46
6.2 SOLUTIONS 47
6.2.1 SOFTWARE TOOLS 48
6.2.1.1 Growing need for pecific solutions for every application to drive the adoption of software tools during the forecast period 48
6.2.2 PLATFORMS 49
6.2.2.1 Increasing need for comprehensive AI solutions across fashion industry to drive the adoption of AI platforms 49
6.3 SERVICES 50
6.3.1 TRAINING AND CONSULTING 51
6.3.1.1 Need for rapid adoption and optimization of AI solutions to drive the training and consulting services segment 51
6.3.2 SYSTEM INTEGRATION AND TESTING 52
6.3.2.1 Need to ensure proper integration of existing infrastructure with AI fashion solutions to drive the demand for system integration and testing services 52
6.3.3 SUPPORT AND MAINTENANCE 52
6.3.3.1 Complexity of operations and need for regular assistance during the software life cycle to foster the growth of support and maintenance services 52
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7 ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY DEPLOYMENT MODE 54
7.1 INTRODUCTION 55
7.2 CLOUD 56
7.2.1 EASE OF DEPLOYMENT AND IMPROVED SCALABILITY AND INTEGRATION TO DRIVE THE ADOPTION OF CLOUD-BASED AI SOLUTIONS IN FASHION INDUSTRY 56
7.3 ON-PREMISES 57
7.3.1 ADVANTAGES OF DATA PRIVACY AND SECURITY TO ACCELERATE THE GROWTH OF THE ON-PREMISES DEPLOYMENT MODE 57
8 ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY APPLICATION 58
8.1 INTRODUCTION 59
8.2 PRODUCT RECOMMENDATION 61
8.2.1 ABILITY TO EFFECTIVELY ENGAGE CUSTOMERS ACROSS ONLINE AND OFFLINE CHANNELS TO CONTRIBUTE TO THE GROWTH OF THE SEGMENT 61
8.3 PRODUCT SEARCH AND DISCOVERY 62
8.3.1 GROWING NEED TO PROVIDE SEAMLESS SHOPPING EXPERIENCES TO INCREASE THE ADOPTION OF AI-POWERED TECHNOLOGIES 62
8.4 SUPPLY CHAIN MANAGEMENT AND DEMAND PLANNING 63
8.4.1 NEED TO STREAMLINE SUPPLY CHAIN OPERATIONS AND GAIN A COMPETITIVE EDGE IN THE MARKET TO DRIVE THE ADOPTION OF AI IN FASHION 63
8.5 CREATIVE DESIGNING AND TREND FORECASTING 64
8.5.1 NEED FOR QUALITY INSIGHTS INTO ONGOING FASHION TRENDS TO DRIVE THE CREATIVE DESIGNING AND TREND FORECASTING APPLICATION 64
8.6 CUSTOMER RELATIONSHIP MANAGEMENT 65
8.6.1 FASHION RETAILERS TO ADOPT AI SOLUTIONS TO BETTER ANALYZE SALE PROSPECTS 65
8.7 VIRTUAL ASSISTANT 66
8.7.1 VIRTUAL ASSISTANT TO PLAY A CRITICAL ROLE IN DEVELOPING EFFECTIVE COMMUNICATION BETWEEN FASHION BRANDS AND CUSTOMERS 66
8.8 OTHERS 67
9 ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY CATEGORY 68
9.1 INTRODUCTION 69
9.2 APPAREL 70
9.2.1 RAPID TECHNOLOGICAL CHANGES TO DRIVE THE ADOPTION OF AI FASHION SOLUTION TO PROVIDE STYLE RECOMMENDATIONS 70
9.3 ACCESSORIES 70
9.3.1 BRANDS TO ADOPT ML TECHNOLOGIES TO PREDICT PURCHASE PATTERNS 70
9.4 FOOTWEAR 71
9.4.1 FOOTWEAR BRANDS TO ADOPT AI AND ML TECHNOLOGIES TO DELIVER PERSONALIZED CUSTOMER EXPERIENCE 71
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9.5 BEAUTY AND COSMETICS 72
9.5.1 BEAUTY AND COSMETICS BRANDS TO USE AI AND ML TECHNOLOGIES TO HELP SHOPPERS FIND APPROPRIATE PRODUCTS 72
9.6 JEWELRY AND WATCHES 73
9.6.1 JEWELRY AND WATCHES BRANDS TO LEVERAGE AI AND ML TECHNOLOGIES TO IDENTIFY LATEST CONSUMER TRENDS 73
9.7 OTHERS 73
10 ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY END USER 75
10.1 INTRODUCTION 76
10.2 FASHION DESIGNERS 77
10.2.1 AI TECHNOLOGIES TO ASSIST FASHION DESIGNERS ENHANCE THEIR CREATIVE DESIGNING PROCESS 77
10.3 FASHION STORES 77
10.3.1 FASHION BRANDS TO ADOPT AI TECHNOLOGIES TO GAIN COMPETITIVE ADVANTAGE IN THE MARKET 77
11 ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY REGION 79
11.1 INTRODUCTION 80
11.2 NORTH AMERICA 82
11.2.1 UNITED STATES 89
11.2.1.1 Rapid growth of technologies and infrastructures to increase the adoption of AI-based solutions among the fashion industry 89
11.2.2 CANADA 92
11.2.2.1 Growing technological advancements in Canada to boost the growth of AI solutions among fashion retailers 92
11.3 EUROPE 92
11.3.1 UNITED KINGDOM 97
11.3.1.1 Rising online shopping to drive the market growth in the UK 97
11.3.2 GERMANY 101
11.3.2.1 Numerous expansion opportunities for fashion brands in Germany to drive the growth of AI in fashion solutions 101
11.3.3 FRANCE 101
11.3.3.1 Increasing use of fashion and lifestyle products to create a potential market for AI in fashion in France 101
11.3.4 REST OF EUROPE 101
11.4 ASIA PACIFIC 102
11.4.1 CHINA 108
11.4.1.1 Increasing technological developments in China to boost the adoption of AI technology among fashion brands 108
11.4.2 INDIA 111
11.4.2.1 Growing fashion trend of wearable tech to boost the adoption of AI technology in India 111
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11.4.3 JAPAN 112
11.4.3.1 Increasing need for automation in Japan to drive the growth of AI in inventory and supply chain management in fashion retail 112
11.4.4 AUSTRALIA 112
11.4.4.1 Increasing customer expectations to drive the fashion retail investments in advanced technologies in Australia 112
11.4.5 REST OF ASIA PACIFIC 112
11.5 MIDDLE EAST AND AFRICA 113
11.5.1 UNITED ARAB EMIRATES 117
11.5.1.1 Changing customer expectations and shorter strategy cycle to enhance the adoption of digital and AI technology across the UAE 117
11.5.2 SAUDI ARABIA 121
11.5.2.1 Gradual adoption of fashionable clothing to drive the adoption the AI in fashion retail 121
11.5.3 SOUTH AFRICA 121
11.5.3.1 Lack of technological skills and poor data quality to restrain the growth of AI among South African fashion retailers 121
11.5.4 REST OF MIDDLE EAST AND AFRICA 121
11.6 LATIN AMERICA 121
11.6.1 BRAZIL 126
11.6.1.1 Growing eCommerce across Brazil to boost the adoption of AI in the fashion industry 126
11.6.2 MEXICO 130
11.6.2.1 Growing developments in computer vision, ML, and NLP to provide opportunities for fashion retailers for adopting advanced technologies in Mexico 130
11.6.3 ARGENTINA 130
11.6.3.1 Growing demand for luxurious goods and need for streamlined supply chain to enhance the adoption of AI in Argentina 130
11.6.4 REST OF LATIN AMERICA 130
12 COMPETITIVE LANDSCAPE 131
12.1 INTRODUCTION 131
12.2 COMPETITIVE LEADERSHIP MAPPING 131
12.2.1 PROGRESSIVE COMPANIES 131
12.2.2 RESPONSIVE COMPANIES 131
12.2.3 DYNAMIC COMPANIES 131
12.2.4 STARTING BLOCKS 131
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13 COMPANY PROFILES 133
13.1 INTRODUCTION 133
(Business Overview, Solutions & Projects Undertaken, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
13.2 MICROSOFT 133
13.3 IBM 137
13.4 GOOGLE 140
13.5 AWS 144
13.6 SAP 147
13.7 FACEBOOK 150
13.8 ADOBE 152
13.9 ORACLE 155
13.10 CATCHOOM 158
13.11 HUAWEI 159
13.12 VUE.AI 160
13.13 HEURITECH 160
13.14 WIDE EYES 161
13.15 FINDMINE 162
13.16 INTELISTYLE 163
13.17 LILY AI 163
13.18 PTTRNS.AI 164
13.19 SYTE 164
13.20 MODE.AI 165
13.21 STITCH FIX 165
*Details on Business Overview, Solutions & Projects Undertaken, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.
14 APPENDIX 166
14.1 INDUSTRY EXCERPTS 166
14.2 DISCUSSION GUIDE 167
14.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 172
14.4 AVAILABLE CUSTOMIZATIONS 174
14.5 RELATED REPORTS 174
14.6 AUTHOR DETAILS 175

 

LIST OF TABLES

TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2016-2018 22
TABLE 2 GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE AND GROWTH RATE, 2017-2024 (USD MILLION AND Y-O-Y %) 31
TABLE 3 DAILY ACTIVE USERS OF SOCIAL MEDIA (GLOBAL) 40
TABLE 4 ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COMPONENT,
2017-2024 (USD MILLION) 46
TABLE 5 SOLUTIONS: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY TYPE,
2017-2024 (USD MILLION) 47
TABLE 6 SOLUTIONS: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY REGION, 2017-2024 (USD MILLION) 48
TABLE 7 SOFTWARE TOOLS MARKET SIZE, BY REGION, 2017-2024 (USD MILLION) 49
TABLE 8 PLATFORMS MARKET SIZE, BY REGION, 2017-2024 (USD MILLION) 49
TABLE 9 SERVICES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY TYPE,
2017-2024 (USD MILLION) 50
TABLE 10 SERVICES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY REGION, 2017-2024 (USD MILLION) 51
TABLE 11 TRAINING AND CONSULTING MARKET SIZE, BY REGION,
2017-2024 (USD MILLION) 51
TABLE 12 SYSTEM INTEGRATION AND TESTING MARKET SIZE, BY REGION,
2017-2024 (USD MILLION) 52
TABLE 13 SUPPORT AND MAINTENANCE: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY REGION, 2017-2024 (USD MILLION) 53
TABLE 14 ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD MILLION) 55
TABLE 15 CLOUD: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY REGION,
2017-2024 (USD MILLION) 56
TABLE 16 ON-PREMISES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY REGION, 2017-2024 (USD MILLION) 57
TABLE 17 ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY APPLICATION,
2017-2024 (USD MILLION) 60
TABLE 18 MOBILE DATA TRAFFIC 60
TABLE 19 PRODUCT RECOMMENDATION: ARTIFICIAL INTELLIGENCE IN FASHION MARKET,
BY REGION, 2017-2024 (USD MILLION) 61
TABLE 20 PRODUCT SEARCH AND DISCOVERY: ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY REGION, 2017-2024 (USD MILLION) 62
TABLE 21 SUPPLY CHAIN MANAGEMENT AND DEMAND FORECASTING: ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY REGION, 2017-2024 (USD MILLION) 63
TABLE 22 CREATIVE DESIGNING AND TREND FORECASTING: ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY REGION, 2017-2024 (USD MILLION) 64
TABLE 23 CUSTOMER RELATIONSHIP MANAGEMENT: ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY REGION, 2017-2024 (USD MILLION) 65
TABLE 24 VIRTUAL ASSISTANT: ARTIFICIAL INTELLIGENCE IN FASHION MARKET,
BY REGION, 2017-2024 (USD MILLION) 66
TABLE 25 OTHERS: ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY REGION,
2017-2024 (USD MILLION) 67
TABLE 26 ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CATEGORY,
2017-2024 (USD MILLION) 69
TABLE 27 APPAREL: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY REGION, 2017-2024 (USD MILLION) 70
TABLE 28 ACCESSORIES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY REGION, 2017-2024 (USD MILLION) 71
TABLE 29 FOOTWEAR: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY REGION, 2017-2024 (USD MILLION) 71
TABLE 30 BEAUTY AND COSMETICS: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY REGION, 2017-2024 (USD MILLION) 72
TABLE 31 JEWELRY AND WATCHES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY REGION, 2017-2024 (USD MILLION) 73
TABLE 32 OTHERS: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY REGION,
2017-2024 (USD MILLION) 74
TABLE 33 ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY END USER,
2017-2024 (USD MILLION) 76
TABLE 34 FASHION DESIGNERS: ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY REGION, 2017-2024 (USD MILLION) 77
TABLE 35 FASHION STORES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY REGION, 2017-2024 (USD MILLION) 78
TABLE 36 ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY REGION,
2017-2024 (USD MILLION) 82
TABLE 37 DATA TRAFFIC IN NORTH AMERICA, 2016-2024 (PETABYTES/YEAR) 83
TABLE 38 MAJOR ERETAILERS IN NORTH AMERICA 84
TABLE 39 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY COMPONENT, 2017-2024 (USD THOUSAND) 85
TABLE 40 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY SOLUTION, 2017-2024 (USD THOUSAND) 86
TABLE 41 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY SERVICE, 2017-2024 (USD THOUSAND) 86
TABLE 42 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY DEPLOYMENT MODE, 2017-2024 (USD THOUSAND) 87
TABLE 43 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY APPLICATION, 2017-2024 (USD THOUSAND) 87
TABLE 44 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY CATEGORY, 2017-2024 (USD THOUSAND) 88
TABLE 45 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY END USER, 2017-2024 (USD THOUSAND) 88
TABLE 46 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY COUNTRY, 2017-2024 (USD THOUSAND) 89
TABLE 47 UNITED STATES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY COMPONENT, 2017-2024 (USD THOUSAND) 89
TABLE 48 UNITED STATES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY SOLUTION, 2017-2024 (USD THOUSAND) 90
TABLE 49 UNITED STATES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY SERVICE, 2017-2024 (USD THOUSAND) 90
TABLE 50 UNITED STATES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY DEPLOYMENT MODE, 2017-2024 (USD THOUSAND) 90
TABLE 51 UNITED STATES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY APPLICATION, 2017-2024 (USD THOUSAND) 91
TABLE 52 UNITED STATES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY CATEGORY, 2017-2024 (USD THOUSAND) 91
TABLE 53 UNITED STATES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY END USER, 2017-2024 (USD THOUSAND) 92
TABLE 54 MAJOR ERETAILERS IN EUROPE 93
TABLE 55 EUROPE: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COMPONENT, 2017-2024 (USD THOUSAND) 94
TABLE 56 EUROPE: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SOLUTION, 2017-2024 (USD THOUSAND) 94
TABLE 57 EUROPE: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SERVICE,
2017-2024 (USD THOUSAND) 94
TABLE 58 EUROPE: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD THOUSAND) 95
TABLE 59 EUROPE: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPLICATION, 2017-2024 (USD THOUSAND) 95
TABLE 60 EUROPE: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CATEGORY, 2017-2024 (USD THOUSAND) 96
TABLE 61 EUROPE: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY END USER, 2017-2024 (USD THOUSAND) 96
TABLE 62 EUROPE: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2017-2024 (USD THOUSAND) 97
TABLE 63 UNITED KINGDOM: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY COMPONENT, 2017-2024 (USD THOUSAND) 97
TABLE 64 UNITED KINGDOM: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY SOLUTION, 2017-2024 (USD THOUSAND) 98
TABLE 65 UNITED KINGDOM: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY SERVICE, 2017-2024 (USD THOUSAND) 98
TABLE 66 UNITED KINGDOM: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY DEPLOYMENT MODE, 2017-2024 (USD THOUSAND) 99
TABLE 67 UNITED KINGDOM: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY APPLICATION, 2017-2024 (USD THOUSAND) 99
TABLE 68 UNITED KINGDOM: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY CATEGORY, 2017-2024 (USD THOUSAND) 100
TABLE 69 UNITED KINGDOM: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY END USER, 2017-2024 (USD THOUSAND) 100
TABLE 70 DATA TRAFFIC IN ASIA PACIFIC, 2016-2024 (PETABYTES/YEAR) 103
TABLE 71 MAJOR ERETAILERS IN ASIA PACIFIC 104
TABLE 72 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY COMPONENT, 2017-2024 (USD THOUSAND) 104
TABLE 73 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY SOLUTION, 2017-2024 (USD THOUSAND) 105
TABLE 74 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY SERVICE, 2017-2024 (USD THOUSAND) 105
TABLE 75 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY DEPLOYMENT MODE, 2017-2024 (USD THOUSAND) 105
TABLE 76 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY APPLICATION, 2017-2024 (USD THOUSAND) 106
TABLE 77 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CATEGORY, 2017-2024 (USD THOUSAND) 106
TABLE 78 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY END USER, 2017-2024 (USD THOUSAND) 107
TABLE 79 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2017-2024 (USD THOUSAND) 107
TABLE 80 CHINA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COMPONENT, 2017-2024 (USD THOUSAND) 108
TABLE 81 CHINA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SOLUTION,
2017-2024 (USD THOUSAND) 109
TABLE 82 CHINA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SERVICE,
2017-2024 (USD THOUSAND) 109
TABLE 83 CHINA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD THOUSAND) 109
TABLE 84 CHINA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPLICATION, 2017-2024 (USD THOUSAND) 110
TABLE 85 CHINA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CATEGORY, 2017-2024 (USD THOUSAND) 110
TABLE 86 CHINA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY END USER,
2017-2024 (USD THOUSAND) 111
TABLE 87 DATA TRAFFIC IN MIDDLE EAST AND AFRICA, 2016-2024 (PETABYTES/YEAR) 113
TABLE 88 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COMPONENT, 2017-2024 (USD THOUSAND) 114
TABLE 89 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SOLUTION, 2017-2024 (USD THOUSAND) 114
TABLE 90 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SERVICE, 2017-2024 (USD THOUSAND) 114
TABLE 91 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD THOUSAND) 115
TABLE 92 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPLICATION, 2017-2024 (USD THOUSAND) 115
TABLE 93 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CATEGORY, 2017-2024 (USD THOUSAND) 116
TABLE 94 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY END USER, 2017-2024 (USD THOUSAND) 116
TABLE 95 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY,2017-2024 (USD THOUSAND) 117
TABLE 96 UNITED ARAB EMIRATES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY COMPONENT, 2017-2024 (USD THOUSAND) 117
TABLE 97 UNITED ARAB EMIRATES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY SOLUTION, 2017-2024 (USD THOUSAND) 118
TABLE 98 UNITED ARAB EMIRATES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY SERVICE, 2017-2024 (USD THOUSAND) 118
TABLE 99 UNITED ARAB EMIRATES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY DEPLOYMENT MODE, 2017-2024 (USD THOUSAND) 119
TABLE 100 UNITED ARAB EMIRATES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY APPLICATION, 2017-2024 (USD THOUSAND) 119
TABLE 101 UNITED ARAB EMIRATES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY CATEGORY, 2017-2024 (USD THOUSAND) 120
TABLE 102 UNITED ARAB EMIRATES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY END USER, 2017-2024 (USD THOUSAND) 120
TABLE 103 DATA TRAFFIC IN LATIN AMERICA, 2016-2024 (PETABYTES/YEAR) 122
TABLE 104 MAJOR ERETAILERS IN LATIN AMERICA 122
TABLE 105 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY COMPONENT, 2017-2024 (USD THOUSAND) 122
TABLE 106 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY SOLUTION, 2017-2024 (USD THOUSAND) 123
TABLE 107 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SERVICE, 2017-2024 (USD THOUSAND) 123
TABLE 108 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY DEPLOYMENT MODE, 2017-2024 (USD THOUSAND) 124
TABLE 109 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY APPLICATION, 2017-2024 (USD THOUSAND) 124
TABLE 110 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY CATEGORY, 2017-2024 (USD THOUSAND) 125
TABLE 111 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY END USER, 2017-2024 (USD THOUSAND) 125
TABLE 112 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE,
BY COUNTRY, 2017-2024 (USD THOUSAND) 126
TABLE 113 BRAZIL: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COMPONENT, 2017-2024 (USD THOUSAND) 126
TABLE 114 BRAZIL: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SOLUTION, 2017-2024 (USD THOUSAND) 127
TABLE 115 BRAZIL: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SERVICE,
2017-2024 (USD THOUSAND) 127
TABLE 116 BRAZIL: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD THOUSAND) 128
TABLE 117 BRAZIL: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPLICATION, 2017-2024 (USD THOUSAND) 128
TABLE 118 BRAZIL: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CATEGORY, 2017-2024 (USD THOUSAND) 129
TABLE 119 BRAZIL: ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY END USER, 2017-2024 (USD THOUSAND) 129

 

LIST OF FIGURES

FIGURE 1 MARKET SEGMENTATION 20
FIGURE 2 REGIONS COVERED 21
FIGURE 3 ARTIFICIAL INTELLIGENCE IN FASHION MARKET: RESEARCH DESIGN 23
FIGURE 4 ARTIFICIAL INTELLIGENCE IN FASHION MARKET: TOP-DOWN AND
BOTTOM-UP APPROACHES 27
FIGURE 5 FACTOR ANALYSIS 28
FIGURE 6 SOLUTIONS SEGMENT TO ACCOUNT FOR A LARGER MARKET SIZE 32
FIGURE 7 PLATFORMS SEGMENT TO ACCOUNT FOR A LARGER MARKET SIZE 32
FIGURE 8 TRAINING AND CONSULTING SEGMENT TO ACCOUNT FOR
THE LARGEST MARKET SIZE 33
FIGURE 9 FASHION STORES TO ACCOUNT FOR A HIGHER MARKET SHARE 33
FIGURE 10 PRODUCT RECOMMENDATION TO ACCOUNT FOR THE LARGEST MARKET SIZE 34
FIGURE 11 ASIA PACIFIC TO ACCOUNT FOR THE HIGHEST CAGR DURING
THE FORECAST PERIOD 34
FIGURE 12 GROWING NEED TO DELIVER PERSONALIZED EXPERIENCE TO DRIVE THE ARTIFICIAL INTELLIGENCE IN FASHION MARKET 35
FIGURE 13 ACCESSORIES TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD 35
FIGURE 14 PRODUCT RECOMMENDATION AND NORTH AMERICA TO ACCOUNT FOR THE HIGHEST MARKET SHARES IN THE ARTIFICIAL INTELLIGENCE IN FASHION MARKET IN 2019 36
FIGURE 15 PRODUCT RECOMMENDATION TO REGISTER
THE HIGHEST MARKET SHARE IN 2019 36
FIGURE 16 ASIA PACIFIC TO BE THE BEST REGION FOR INVESTMENTS DURING THE FORECAST PERIOD 37
FIGURE 17 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET 38
FIGURE 18 SERVICES SEGMENT TO GROW AT A HIGHER CAGR DURING
THE FORECAST PERIOD 46
FIGURE 19 PLATFORMS SEGMENT TO HOLD A LARGER MARKET SIZE DURING
THE FORECAST PERIOD 47
FIGURE 20 SYSTEM INTEGRATION AND TESTING SEGMENT TO GROW AT
THE HIGHEST CAGR DURING THE FORECAST PERIOD 50
FIGURE 21 CLOUD SEGMENT TO HOLD A LARGER MARKET SIZE DURING
THE FORECAST PERIOD 55
FIGURE 22 PRODUCT SEARCH AND DISCOVERY SEGMENT TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD 59
FIGURE 23 ACCESSORIES SEGMENT TO GROW AT THE HIGHEST CAGR DURING
THE FORECAST PERIOD 69
FIGURE 24 FASHION STORES SEGMENT TO REGISTER A LARGER MARKET SIZE DURING THE FORECAST PERIOD 76
FIGURE 25 ASIA PACIFIC TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 80
FIGURE 26 AUSTRALIA TO HOLD THE HIGHEST CAGR DURING THE FORECAST PERIOD 81
FIGURE 27 ASIA PACIFIC TO HAVE THE HIGHEST CAGR IN THE AI IN FASHION MARKET DURING THE FORECAST PERIOD 81
FIGURE 28 NORTH AMERICA: MARKET SNAPSHOT 83
FIGURE 29 PRODUCT SEARCH AND DISCOVERY SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 85
FIGURE 30 PRODUCT SEARCH AND DISCOVERY SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 93
FIGURE 31 ASIA PACIFIC: MARKET SNAPSHOT 103
FIGURE 32 PRODUCT SEARCH AND DISCOVERY SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 104
FIGURE 33 PRODUCT SEARCH AND DISCOVERY SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 113
FIGURE 34 PRODUCT SEARCH AND DISCOVERY SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 122
FIGURE 35 ARTIFICIAL INTELLIGENCE IN FASHION MARKET (STARTUP), COMPETITIVE LEADERSHIP MAPPING, 2019 132
FIGURE 36 MICROSOFT: COMPANY SNAPSHOT 134
FIGURE 37 MICROSOFT: SWOT ANALYSIS 136
FIGURE 38 IBM: COMPANY SNAPSHOT 137
FIGURE 39 IBM: SWOT ANALYSIS 139
FIGURE 40 GOOGLE: COMPANY SNAPSHOT 140
FIGURE 41 GOOGLE: SWOT ANALYSIS 142
FIGURE 42 AWS: COMPANY SNAPSHOT 144
FIGURE 43 AWS: SWOT ANALYSIS 146
FIGURE 44 SAP: COMPANY SNAPSHOT 147
FIGURE 45 SAP: SWOT ANALYSIS 149
FIGURE 46 FACEBOOK: COMPANY SNAPSHOT 150
FIGURE 47 ADOBE: COMPANY SNAPSHOT 152
FIGURE 48 ORACLE: COMPANY SNAPSHOT 155

 

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