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市場調査レポート

ファッション向け人工知能 (AI) の世界市場 - 2024年までの予測:プロダクトレコメンデーション、プロダクト検索・ディスカバリー、CRM

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, Region - Global Forecast to 2024

発行 MarketsandMarkets 商品コード 914406
出版日 ページ情報 英文 176 Pages
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本日の銀行送金レート: 1USD=109.93円で換算しております。
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ファッション向け人工知能 (AI) の世界市場 - 2024年までの予測:プロダクトレコメンデーション、プロダクト検索・ディスカバリー、CRM 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, Region - Global Forecast to 2024
出版日: 2019年10月17日 ページ情報: 英文 176 Pages
概要

世界のファッション向け人工知能 (AI) 市場は、2019年の2億2800万米ドルから、2024年までに12億6000万米ドルまで拡大すると見られています。市場は、2019年~2024年のCAGR (複合年間成長率) で、40.8%の成長が予測されています。

当レポートでは、世界のファッション向け人工知能 (AI) 市場について調査分析し、市場概要、産業動向、セグメント別の市場分析、競合情勢、主要企業などについて、体系的な情報を提供しています。

914406_4.1 ATTRACTIVE OPPORTUNITIES IN THE ARTIFICIAL INTELLIGENCE IN FASHION MARKET_FIGURE 12

第1章 イントロダクション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 重要考察

  • ファッション向け人工知能 (AI) 市場の魅力的な機会
  • ファッション向け人工知能 (AI) 市場:4大カテゴリー
  • ファッション向け人工知能 (AI) 市場:3大アプリケーション、3大地域
  • ファッション向け人工知能 (AI) 市場:アプリケーション別

第5章 市場概要と産業動向

  • イントロダクション
  • 市場力学
    • 促進要因
    • 抑制要因
    • 機会
    • 課題
  • ファッション産業に影響を与える技術
  • ユースケース

第6章 ファッション向け人工知能 (AI) の世界市場:コンポーネント別

  • イントロダクション
  • ソリューション
  • サービス

第7章 ファッション向け人工知能 (AI) の世界市場:展開モード別

  • イントロダクション
  • クラウド
  • オンプレミス

第8章 ファッション向け人工知能 (AI) の世界市場:アプリケーション別

  • イントロダクション
  • プロダクトレコメンデーション
  • プロダクト検索・ディスカバリー
  • サプライチェーン管理・需要計画
  • クリエイティブデザイン・トレンド予測
  • 顧客関係管理 (CRM)
  • 仮想アシスタント
  • その他

第9章 ファッション向け人工知能 (AI) の世界市場:カテゴリー別

  • イントロダクション
  • アパレル
  • アクセサリー
  • フットウェア
  • 美容・化粧品
  • 宝飾品・腕時計
  • その他

第10章 ファッション向け人工知能 (AI) の世界市場:エンドユーザー別

  • イントロダクション
  • ファッションデザイナー
  • ファッションストア

第11章 ファッション向け人工知能 (AI) の世界市場:地域別

  • イントロダクション
  • 北米
  • 欧州
  • アジア太平洋地域
  • 中東・アフリカ
  • ラテンアメリカ

第12章 競合情勢

  • イントロダクション
  • 競合リーダーシップマッピング

第13章 企業プロファイル

  • イントロダクション
  • MICROSOFT
  • IBM
  • GOOGLE
  • AWS
  • SAP
  • FACEBOOK
  • ADOBE
  • ORACLE
  • CATCHOOM
  • HUAWEI
  • VUE.AI
  • HEURITECH
  • WIDE EYES
  • FINDMINE
  • INTELISTYLE
  • LILY AI
  • PTTRNS.AI
  • SYTE
  • MODE.AI
  • STITCH FIX

第14章 付録

図表

LIST OF TABLES

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

LIST OF FIGURES

  • FIGURE 1: MARKET SEGMENTATION
  • FIGURE 2: REGIONS COVERED
  • FIGURE 3: ARTIFICIAL INTELLIGENCE IN FASHION MARKET: RESEARCH DESIGN
  • FIGURE 4: ARTIFICIAL INTELLIGENCE IN FASHION MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 5: FACTOR ANALYSIS
  • FIGURE 6: SOLUTIONS SEGMENT TO ACCOUNT FOR A LARGER MARKET SIZE
  • FIGURE 7: PLATFORMS SEGMENT TO ACCOUNT FOR A LARGER MARKET SIZE
  • FIGURE 8: TRAINING AND CONSULTING SEGMENT TO ACCOUNT FOR THE LARGEST MARKET SIZE
  • FIGURE 9: FASHION STORES TO ACCOUNT FOR A HIGHER MARKET SHARE
  • FIGURE 10: PRODUCT RECOMMENDATION TO ACCOUNT FOR THE LARGEST MARKET SIZE
  • FIGURE 11: ASIA PACIFIC TO ACCOUNT FOR THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 12: GROWING NEED TO DELIVER PERSONALIZED EXPERIENCE TO DRIVE THE ARTIFICIAL INTELLIGENCE IN FASHION MARKET
  • FIGURE 13: ACCESSORIES TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD
  • FIGURE 14: PRODUCT RECOMMENDATION AND NORTH AMERICA TO ACCOUNT FOR THE HIGHEST MARKET SHARES IN THE ARTIFICIAL INTELLIGENCE IN FASHION MARKET IN 2019
  • FIGURE 15: PRODUCT RECOMMENDATION TO REGISTER THE HIGHEST MARKET SHARE IN 2019
  • FIGURE 16: ASIA PACIFIC TO BE THE BEST REGION FOR INVESTMENTS DURING THE FORECAST PERIOD
  • FIGURE 17: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: ARTIFICIAL INTELLIGENCE IN FASHION MARKET
  • FIGURE 18: SERVICES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 19: PLATFORMS SEGMENT TO HOLD A LARGER MARKET SIZE DURING THE FORECAST PERIOD
  • FIGURE 20: SYSTEM INTEGRATION AND TESTING SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 21: CLOUD SEGMENT TO HOLD A LARGER MARKET SIZE DURING THE FORECAST PERIOD
  • FIGURE 22: PRODUCT SEARCH AND DISCOVERY SEGMENT TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 23: ACCESSORIES SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 24: FASHION STORES SEGMENT TO REGISTER A LARGER MARKET SIZE DURING THE FORECAST PERIOD
  • FIGURE 25: ASIA PACIFIC TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 26: AUSTRALIA TO HOLD THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 27: ASIA PACIFIC TO HAVE THE HIGHEST CAGR IN THE AI IN FASHION MARKET DURING THE FORECAST PERIOD
  • FIGURE 28: NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 29: PRODUCT SEARCH AND DISCOVERY SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 30: PRODUCT SEARCH AND DISCOVERY SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 31: ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 32: PRODUCT SEARCH AND DISCOVERY SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 33: PRODUCT SEARCH AND DISCOVERY SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 34: PRODUCT SEARCH AND DISCOVERY SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 35: ARTIFICIAL INTELLIGENCE IN FASHION MARKET (STARTUP), COMPETITIVE LEADERSHIP MAPPING, 2019
  • FIGURE 36: MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 37: MICROSOFT: SWOT ANALYSIS
  • FIGURE 38: IBM: COMPANY SNAPSHOT
  • FIGURE 39: IBM: SWOT ANALYSIS
  • FIGURE 40: GOOGLE: COMPANY SNAPSHOT
  • FIGURE 41: GOOGLE: SWOT ANALYSIS
  • FIGURE 42: AWS: COMPANY SNAPSHOT
  • FIGURE 43: AWS: SWOT ANALYSIS
  • FIGURE 44: SAP: COMPANY SNAPSHOT
  • FIGURE 45: SAP: SWOT ANALYSIS
  • FIGURE 46: FACEBOOK: COMPANY SNAPSHOT
  • FIGURE 47: ADOBE: COMPANY SNAPSHOT
  • FIGURE 48: ORACLE: COMPANY SNAPSHOT
目次
Product Code: TC 7398

"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.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 OBJECTIVES OF THE STUDY
  • 1.2 MARKET DEFINITION
    • 1.2.1 INCLUSIONS AND EXCLUSIONS
  • 1.3 MARKET SCOPE
  • 1.4 YEARS CONSIDERED FOR THE STUDY
  • 1.5 CURRENCY CONSIDERED
  • 1.6 STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Breakdown of primary profiles
      • 2.1.2.2 Key industry insights
  • 2.2 MARKET BREAKDOWN AND DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    • 2.3.1 TOP-DOWN APPROACH
    • 2.3.2 BOTTOM-UP APPROACH
  • 2.4 MARKET FORECAST
  • 2.5 ASSUMPTIONS FOR THE STUDY
  • 2.6 LIMITATIONS OF THE STUDY

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES IN THE ARTIFICIAL INTELLIGENCE IN FASHION MARKET
  • 4.2 ARTIFICIAL INTELLIGENCE IN FASHION MARKET: TOP 4 CATEGORIES
  • 4.3 ARTIFICIAL INTELLIGENCE IN FASHION MARKET: TOP 3 APPLICATIONS AND REGIONS
  • 4.4 ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY APPLICATION

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Customer demand for personalized experience
      • 5.2.1.2 Increasing need for inventory management
      • 5.2.1.3 Growing influence of social media on the fashion industry
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Integration with legacy systems
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Identifying future fashion trends by analyzing customer buying behavior
      • 5.2.3.2 Growth of fast fashion retail to boost the adoption of AI in the fashion industry
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Incorporating cultural differentiation in fashion trends
  • 5.3 TECHNOLOGIES THAT IMPACT FASHION INDUSTRY
    • 5.3.1 MACHINE LEARNING
    • 5.3.2 DEEP LEARNING
    • 5.3.3 NATURAL LANGUAGE PROCESSING
    • 5.3.4 AUGMENTED REALITY/VIRTUAL REALITY
  • 5.4 USE CASES
    • 5.4.1 USE CASE: SCENARIO 1
    • 5.4.2 USE CASE: SCENARIO 2
    • 5.4.3 USE CASE: SCENARIO 3
    • 5.4.4 USE CASE: SCENARIO 4
    • 5.4.5 USE CASE: SCENARIO 5

6 ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY COMPONENT

  • 6.1 INTRODUCTION
  • 6.2 SOLUTIONS
    • 6.2.1 SOFTWARE TOOLS
      • 6.2.1.1 Growing need for pecific solutions for every application to drive the adoption of software tools during the forecast period
    • 6.2.2 PLATFORMS
      • 6.2.2.1 Increasing need for comprehensive AI solutions across fashion industry to drive the adoption of AI platforms
  • 6.3 SERVICES
    • 6.3.1 TRAINING AND CONSULTING
      • 6.3.1.1 Need for rapid adoption and optimization of AI solutions to drive the training and consulting services segment
    • 6.3.2 SYSTEM INTEGRATION AND TESTING
      • 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
    • 6.3.3 SUPPORT AND MAINTENANCE
      • 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

7 ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY DEPLOYMENT MODE

  • 7.1 INTRODUCTION
  • 7.2 CLOUD
    • 7.2.1 EASE OF DEPLOYMENT AND IMPROVED SCALABILITY AND INTEGRATION TO DRIVE THE ADOPTION OF CLOUD-BASED AI SOLUTIONS IN FASHION INDUSTRY
  • 7.3 ON-PREMISES
    • 7.3.1 ADVANTAGES OF DATA PRIVACY AND SECURITY TO ACCELERATE THE GROWTH OF THE ON-PREMISES DEPLOYMENT MODE

8 ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY APPLICATION

  • 8.1 INTRODUCTION
  • 8.2 PRODUCT RECOMMENDATION
    • 8.2.1 ABILITY TO EFFECTIVELY ENGAGE CUSTOMERS ACROSS ONLINE AND OFFLINE CHANNELS TO CONTRIBUTE TO THE GROWTH OF THE SEGMENT
  • 8.3 PRODUCT SEARCH AND DISCOVERY
    • 8.3.1 GROWING NEED TO PROVIDE SEAMLESS SHOPPING EXPERIENCES TO INCREASE THE ADOPTION OF AI-POWERED TECHNOLOGIES
  • 8.4 SUPPLY CHAIN MANAGEMENT AND DEMAND PLANNING
    • 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
  • 8.5 CREATIVE DESIGNING AND TREND FORECASTING
    • 8.5.1 NEED FOR QUALITY INSIGHTS INTO ONGOING FASHION TRENDS TO DRIVE THE CREATIVE DESIGNING AND TREND FORECASTING APPLICATION
  • 8.6 CUSTOMER RELATIONSHIP MANAGEMENT
    • 8.6.1 FASHION RETAILERS TO ADOPT AI SOLUTIONS TO BETTER ANALYZE SALE PROSPECTS
  • 8.7 VIRTUAL ASSISTANT
    • 8.7.1 VIRTUAL ASSISTANT TO PLAY A CRITICAL ROLE IN DEVELOPING EFFECTIVE COMMUNICATION BETWEEN FASHION BRANDS AND CUSTOMERS
  • 8.8 OTHERS

9 ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY CATEGORY

  • 9.1 INTRODUCTION
  • 9.2 APPAREL
    • 9.2.1 RAPID TECHNOLOGICAL CHANGES TO DRIVE THE ADOPTION OF AI FASHION SOLUTION TO PROVIDE STYLE RECOMMENDATIONS
  • 9.3 ACCESSORIES
    • 9.3.1 BRANDS TO ADOPT ML TECHNOLOGIES TO PREDICT PURCHASE PATTERNS
  • 9.4 FOOTWEAR
    • 9.4.1 FOOTWEAR BRANDS TO ADOPT AI AND ML TECHNOLOGIES TO DELIVER PERSONALIZED CUSTOMER EXPERIENCE
  • 9.5 BEAUTY AND COSMETICS
    • 9.5.1 BEAUTY AND COSMETICS BRANDS TO USE AI AND ML TECHNOLOGIES TO HELP SHOPPERS FIND APPROPRIATE PRODUCTS
  • 9.6 JEWELRY AND WATCHES
    • 9.6.1 JEWELRY AND WATCHES BRANDS TO LEVERAGE AI AND ML TECHNOLOGIES TO IDENTIFY LATEST CONSUMER TRENDS
  • 9.7 OTHERS

10 ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY END USER

  • 10.1 INTRODUCTION
  • 10.2 FASHION DESIGNERS
    • 10.2.1 AI TECHNOLOGIES TO ASSIST FASHION DESIGNERS ENHANCE THEIR CREATIVE DESIGNING PROCESS
  • 10.3 FASHION STORES
    • 10.3.1 FASHION BRANDS TO ADOPT AI TECHNOLOGIES TO GAIN COMPETITIVE ADVANTAGE IN THE MARKET

11 ARTIFICIAL INTELLIGENCE IN FASHION MARKET, BY REGION

  • 11.1 INTRODUCTION
  • 11.2 NORTH AMERICA
    • 11.2.1 UNITED STATES
      • 11.2.1.1 Rapid growth of technologies and infrastructures to increase the adoption of AI-based solutions among the fashion industry
    • 11.2.2 CANADA
      • 11.2.2.1 Growing technological advancements in Canada to boost the growth of AI solutions among fashion retailers
  • 11.3 EUROPE
    • 11.3.1 UNITED KINGDOM
      • 11.3.1.1 Rising online shopping to drive the market growth in the UK
    • 11.3.2 GERMANY
      • 11.3.2.1 Numerous expansion opportunities for fashion brands in Germany to drive the growth of AI in fashion solutions
    • 11.3.3 FRANCE
      • 11.3.3.1 Increasing use of fashion and lifestyle products to create a potential market for AI in fashion in France
    • 11.3.4 REST OF EUROPE
  • 11.4 ASIA PACIFIC
    • 11.4.1 CHINA
      • 11.4.1.1 Increasing technological developments in China to boost the adoption of AI technology among fashion brands
    • 11.4.2 INDIA
      • 11.4.2.1 Growing fashion trend of wearable tech to boost the adoption of AI technology in India
    • 11.4.3 JAPAN
      • 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
    • 11.4.4 AUSTRALIA
      • 11.4.4.1 Increasing customer expectations to drive the fashion retail investments in advanced technologies in Australia
    • 11.4.5 REST OF ASIA PACIFIC
  • 11.5 MIDDLE EAST AND AFRICA
    • 11.5.1 UNITED ARAB EMIRATES
      • 11.5.1.1 Changing customer expectations and shorter strategy cycle to enhance the adoption of digital and AI technology across the UAE
    • 11.5.2 SAUDI ARABIA
      • 11.5.2.1 Gradual adoption of fashionable clothing to drive the adoption the AI in fashion retail
    • 11.5.3 SOUTH AFRICA
      • 11.5.3.1 Lack of technological skills and poor data quality to restrain the growth of AI among South African fashion retailers
    • 11.5.4 REST OF MIDDLE EAST AND AFRICA
  • 11.6 LATIN AMERICA
    • 11.6.1 BRAZIL
      • 11.6.1.1 Growing eCommerce across Brazil to boost the adoption of AI in the fashion industry
    • 11.6.2 MEXICO
      • 11.6.2.1 Growing developments in computer vision, ML, and NLP to provide opportunities for fashion retailers for adopting advanced technologies in Mexico
    • 11.6.3 ARGENTINA
      • 11.6.3.1 Growing demand for luxurious goods and need for streamlined supply chain to enhance the adoption of AI in Argentina
    • 11.6.4 REST OF LATIN AMERICA

12 COMPETITIVE LANDSCAPE

  • 12.1 INTRODUCTION
  • 12.2 COMPETITIVE LEADERSHIP MAPPING
    • 12.2.1 PROGRESSIVE COMPANIES
    • 12.2.2 RESPONSIVE COMPANIES
    • 12.2.3 DYNAMIC COMPANIES
    • 12.2.4 STARTING BLOCKS

13 COMPANY PROFILES

  • 13.1 INTRODUCTION

(Business Overview, Solutions & Projects Undertaken, Key Insights, Recent Developments, SWOT Analysis, MnM View)*

  • 13.2 MICROSOFT
  • 13.3 IBM
  • 13.4 GOOGLE
  • 13.5 AWS
  • 13.6 SAP
  • 13.7 FACEBOOK
  • 13.8 ADOBE
  • 13.9 ORACLE
  • 13.10 CATCHOOM
  • 13.11 HUAWEI
  • 13.12 VUE.AI
  • 13.13 HEURITECH
  • 13.14 WIDE EYES
  • 13.15 FINDMINE
  • 13.16 INTELISTYLE
  • 13.17 LILY AI
  • 13.18 PTTRNS.AI
  • 13.19 SYTE
  • 13.20 MODE.AI
  • 13.21 STITCH FIX

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

  • 14.1 INDUSTRY EXCERPTS
  • 14.2 DISCUSSION GUIDE
  • 14.3 KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.4 AVAILABLE CUSTOMIZATIONS
  • 14.5 RELATED REPORTS
  • 14.6 AUTHOR DETAILS
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