Home > > > > Report Detail

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

Publisher Name :
Date: 17-Oct-2019
No. of pages: 187
Inquire Before Buying

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 4Gis 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 sub segments. 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.

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

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
1.4.1 Currency Considered
1.5 Stakeholders

2 Research Methodology
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakup of Primary Profiles
2.1.2.2 Key Industry Insights
2.2 Market Size Estimation
2.2.1 Top-Down Approach
2.2.2 Bottom-Up Approach
2.3 Market Forecast
2.4 Research Assumptions
2.5 Limitations

3 Executive Summary

4 Premium Insights
4.1 Attractive Opportunities in the AI in Fashion Market
4.2 Market Top 4 Categories
4.3 Market Top 3 Applications and Regions
4.4 Market By Application

5 AI in Fashion Market Overview and Industry Trends
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Customer’s Demand for A Personalized Experience
5.2.1.2 Increasing Need for Inventory Management
5.2.1.3 Growing Influence of Social Media in the Fashion Industry
5.2.2 Restraints
5.2.2.1 Integration With the Legacy System
5.2.3 Opportunities
5.2.3.1 Identifying Future Fashion Trends in Advance With Customer’s Buying Behavior Analysis
5.2.3.2 Growing Fast Fashion Retail to Boost the Adoption of Artificial Intelligence in the Fashion Industry
5.2.4 Challenges
5.2.4.1 Collaboration With Cultural Differentiation
5.2.4.2 Daily Active Users of Social Media (Global)
5.3 Technologies That Impacts Fashion Industry
5.3.1 Introduction
5.3.2 Machine Learning
5.3.3 Deep Learning
5.3.4 Natural Language Processing
5.3.5 Augmented Reality/Virtual Reality
5.4 Use Cases
5.4.1 Introduction
5.4.1.1 Use Case: Scenario 1
5.4.1.2 Use Case: Scenario 2
5.4.1.3 Use Case: Scenario 3
5.4.1.4 Use Case: Scenario 4
5.4.1.5 Use Case: Scenario 5

6 AI in Fashion Market By Component
6.1 Introduction
6.2 Solutions
6.2.1 Software Tools
6.2.2 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 Client’s 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 Lifecycle to Foster the Growth of Support and Maintenance Services

7 AI 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 AI in Fashion Market By Application
8.1 Introduction
8.2 Product Recommendation
8.2.1 The 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 Analyse 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 AI 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 Patters
9.4 Footwear
9.4.1 Footwear Brands to Adopt AI and ML Technologies to Deliver Personalized Customer
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 Identify Latest Consumer Trends
9.7 Others

10 AI 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 AI 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 Market Growth in Germany
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 Development in China Would 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 UAE
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 Grow 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
11.6 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, Machine Learning, and Natural Language Processing to Provide Opportunities for Fashion Retailers for Adopting Advanced Technologies
11.6.3 Argentina
11.6.3.1 Growing Demand in Luxurious Goods and Need of Streamlined Supply Chain to Enhance the Adoption of AI in Argentina
11.6.4 Rest of Latin America

12 Company Profiles
12.1 Introduction
12.2 Microsoft
12.2.1 Business Overview
12.2.2 Solutions Offered
12.2.3 Recent Developments
12.2.4 SWOT Analysis
12.2.5 MnM View
12.3 IBM
12.3.1 Business Overview
12.3.2 Platforms Offered
12.3.3 Projects Undertaken
12.3.4 Recent Developments
12.3.5 SWOT Analysis
12.3.6 MnM View
12.4 Google
12.4.1 Business Overview
12.4.2 Solutions Offered
12.4.3 Recent Developments
12.4.4 SWOT Analysis
12.4.5 MnM View
12.5 AWS
12.5.1 Business Overview
12.5.2 Solutions Offered
12.5.3 Projects Undertaken
12.5.4 Recent Developments
12.5.5 SWOT Analysis
12.5.6 MnM View
12.6 SAP
12.6.1 Business Overview
12.6.2 Solutions Offered
12.6.3 Recent Developments
12.6.4 SWOT Analysis
12.6.5 MnM View
12.7 Facebook
12.7.1 Business Overview
12.7.2 Projects Undertaken
12.7.3 Recent Developments
12.8 Adobe
12.8.1 Business Overview
12.8.2 Solutions Offered
12.8.3 Recent Developments
12.8.4 MnM View
12.9 Oracle
12.9.1 Business Overview
12.9.2 Solutions Offered
12.9.3 Recent Developments
12.9.4 MnM View
12.10 Catchoom
12.10.1 Business Overview
12.10.2 Products Offered
12.10.3 Recent Developments
12.11 Huawei
12.12 Vue.AI
12.13 Heuritech
12.14 Wide Eyes
12.15 Findmine
12.16 Intelistyle
12.17 Lily AI
12.18 Pttrns.AI
12.19 Syte
12.20 Mode.AI
12.21 Stitch Fix
12.22 Industry Excerpts
12.23 Discussion Guide
12.24 Knowledge Store: Marketsandmarkets’ Subscription Portal
12.25 Available Customizations
12.26 Related Reports
12.27 Author Details

List of Tables

Table 1 United States Dollar Exchange Rate, 2016–2018
Table 2 Global AI in Fashion Market Size and Growth Rate, 2017–2024 (USD Million and Y-O-Y %)
Table 3 AI in Fashion Market Size, By Component, 2017–2024 (USD Million)
Table 4 Solutions: Market Size By Solution, 2017–2024 (USD Million)
Table 5 Solutions: Market Size By Region, 2017–2024 (USD Million)
Table 6 Software Tools: AI in Fashion Market Size, By Region, 2017–2024 (USD Million)
Table 7 Platforms: Market Size By Region, 2017–2024 (USD Million)
Table 8 Services: Market Size By Service, 2017–2024 (USD Million)
Table 9 Services: Market Size By Region, 2017–2024 (USD Million)
Table 10 Training and Consulting: Market Size By Region, 2017–2024 (USD Million)
Table 11 System Integration and Testing: Market Size By Region, 2017–2024 (USD Million)
Table 12 Support and Maintenance: Market Size By Region, 2017–2024 (USD Million)
Table 13 AI in Fashion Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 14 Cloud: Market Size By Region, 2017–2024 (USD Million)
Table 15 On-Premises: Market Size By Region, 2017–2024 (USD Million)
Table 16 AI in Fashion Market, By Application, 2017–2024 (USD Million)
Table 17 Mobile Data Traffic
Table 18 Product Recommendation, Market By Region, 2017–2024 (USD Million)
Table 19 Product Search and Discovery, Market By Region, 2017–2024 (USD Million)
Table 20 Supply Chain Management and Demand Forecasting, Market By Region, 2017–2024 (USD Million)
Table 21 Creative Designing and Trend Forecasting, Market By Region, 2017–2024 (USD Million)
Table 22 Customer Relationship Management, Market By Region, 2017–2024 (USD Million)
Table 23 Virtual Assistant, Market By Region, 2017–2024 (USD Million)
Table 24 Other Applications, Market By Region, 2017–2024 (USD Million)
Table 25 AI in Fashion Market Size, By Category, 2017–2024 (USD Million)
Table 26 Apparel: Market Size By Region, 2017–2024 (USD Million)
Table 27 Accessories: Market Size By Region, 2017–2024 (USD Million)
Table 28 Footwear: Market Size By Region, 2017–2024 (USD Million)
Table 29 Beauty and Cosmetics: Market Size By Region, 2017–2024 (USD Million)
Table 30 Jewelry and Watches: Market Size By Region, 2017–2024 (USD Million)
Table 31 Other Categories: Market Size By Region, 2017–2024 (USD Million)
Table 32 AI in Fashion Market Size, By End Users, 2017–2024 (USD Million)
Table 33 Fashion Designers, Market By Region, 2017–2024 (USD Million)
Table 34 Fashion Stores, Market By Region, 2017–2024 (USD Million)
Table 35 AI in Fashion Market Size, By Region, 2017–2024 (USD Million)
Table 36 Data Traffic in North America, 2016–2024 (Petabytes/Year)
Table 37 Major Eretailers in North America
Table 38 North America: AI in Fashion Market Size, By Component, 2017–2024 (USD Thousand)
Table 39 North America: Market Size By Solution, 2017–2024 (USD Thousand)
Table 40 North America: Market Size By Service, 2017–2024 (USD Thousand)
Table 41 North America: Market Size By Deployment Mode, 2017–2024 (USD Thousand)
Table 42 North America: Market Size By Application, 2017–2024 (USD Thousand)
Table 43 North America: Market Size By Category, 2017–2024 (USD Thousand)
Table 44 North America: Market Size By End User, 2017–2024 (USD Thousand)
Table 45 United States: AI in Fashion Market Size, By Country, 2017–2024 (USD Thousand)
Table 46 United States: Market Size By Component, 2017–2024 (USD Thousand)
Table 47 United States: Market Size By Solution, 2017–2024 (USD Thousand)
Table 48 United States: Market Size By Service, 2017–2024 (USD Thousand)
Table 49 United States: Market Size By Deployment Mode, 2017–2024 (USD Thousand)
Table 50 United States: Market Size By Application, 2017–2024 (USD Thousand)
Table 51 United States: Market Size By Category, 2017–2024 (USD Thousand)
Table 52 United States: Market Size By End User, 2017–2024 (USD Thousand)
Table 53 Major Eretailers in Europe
Table 54 Europe: AI in Fashion Market Size, By Component, 2017–2024 (USD Thousand)
Table 55 Europe: Market Size By Solution, 2017–2024 (USD Thousand)
Table 56 Europe: Market Size By Service, 2017–2024 (USD Thousand)
Table 57 Europe: Market Size By Deployment Mode, 2017–2024 (USD Thousand)
Table 58 Europe: Market Size By Application, 2017–2024 (USD Thousand)
Table 59 Europe: Market Size By Category, 2017–2024 (USD Thousand)
Table 60 Europe: Market Size By End User, 2017–2024 (USD Thousand)
Table 61 United Kingdom: AI in Fashion Market Size, By Country, 2017–2024 (USD Thousand)
Table 62 United Kingdom: Market Size By Component, 2017–2024 (USD Thousand)
Table 63 United Kingdom: Market Size By Solution, 2017–2024 (USD Thousand)
Table 64 United Kingdom: Market Size By Service, 2017–2024 (USD Thousand)
Table 65 United Kingdom: Market Size By Deployment Mode, 2017–2024 (USD Thousand)
Table 66 United Kingdom: Market Size By Application, 2017–2024 (USD Thousand)
Table 67 United Kingdom: Market Size By Category, 2017–2024 (USD Thousand)
Table 68 United Kingdom: Market Size By End User, 2017–2024 (USD Thousand)
Table 69 Data Traffic in Asia Pacific, 2016–2024 (Petabytes/Year)
Table 70 Major Eretailers in Asia Pacific
Table 71 Asia Pacific: AI in Fashion Market Size, By Component, 2017–2024 (USD Thousand)
Table 72 Asia Pacific: Market Size By Solution, 2017–2024 (USD Thousand)
Table 73 Asia Pacific: Market Size By Service, 2017–2024 (USD Thousand)
Table 74 Asia Pacific: Market Size By Deployment Mode, 2017–2024 (USD Thousand)
Table 75 Asia Pacific: Market Size By Application, 2017–2024 (USD Thousand)
Table 76 Asia Pacific: Market Size By Category, 2017–2024 (USD Thousand)
Table 77 Asia Pacific: Market Size By End User, 2017–2024 (USD Thousand)
Table 78 Asia Pacific: Market Size By Country, 2017–2024 (USD Thousand)
Table 79 China: AI in Fashion Market Size, By Component, 2017–2024 (USD Thousand)
Table 80 China: Market Size By Solution, 2017–2024 (USD Thousand)
Table 81 China: Market Size By Service, 2017–2024 (USD Thousand)
Table 82 China: Market Size By Deployment Mode, 2017–2024 (USD Thousand)
Table 83 China: Market Size By Application, 2017–2024 (USD Thousand)
Table 84 China: Market Size By Category, 2017–2024 (USD Thousand)
Table 85 China: Market Size By End User, 2017–2024 (USD Thousand)
Table 86 Data Traffic in Middle East and Africa, 2016–2024 (Petabytes/Year)
Table 87 Middle East: AI in Fashion Market Size, By Component, 2017–2024 (USD Thousand)
Table 88 Middle East: Market Size By Solution, 2017–2024 (USD Thousand)
Table 89 Middle East: Market Size By Service, 2017–2024 (USD Thousand)
Table 90 Middle East: Market Size By Deployment Mode, 2017–2024 (USD Thousand)
Table 91 Middle East: Market Size By Application, 2017–2024 (USD Thousand)
Table 92 Middle East: Market Size By Category, 2017–2024 (USD Thousand)
Table 93 Middle East: Market Size By End User, 2017–2024 (USD Thousand)
Table 94 Middle East: Market Size By Country, 2017–2024 (USD Thousand)
Table 95 United Arab Emirates: AI in Fashion Market Size, By Component, 2017–2024 (USD Thousand)
Table 96 United Arab Emirates: Market Size By Solution, 2017–2024 (USD Thousand)
Table 97 United Arab Emirates: Market Size By Service, 2017–2024 (USD Thousand)
Table 98 United Arab Emirates: Market Size By Deployment Mode, 2017–2024 (USD Thousand)
Table 99 United Arab Emirates: Market Size By Application, 2017–2024 (USD Thousand)
Table 100 United Arab Emirates: Market Size By Category, 2017–2024 (USD Thousand)
Table 101 United Arab Emirates: Market Size By End User, 2017–2024 (USD Thousand)
Table 102 Data Traffic in Latin America, 2016–2024 (Petabytes/Year)
Table 103 Major Eretailers in Latin America
Table 104 Latin America: AI in Fashion Market Size, By Component, 2017–2024 (USD Thousand)
Table 105 Latin America: Market Size By Solution, 2017–2024 (USD Thousand)
Table 106 Latin America: Market Size By Service, 2017–2024 (USD Thousand)
Table 107 Latin America: Market Size By Deployment Mode, 2017–2024 (USD Thousand)
Table 108 Latin America: Market Size By Application, 2017–2024 (USD Thousand)
Table 109 Latin America: Market Size By Category, 2017–2024 (USD Thousand)
Table 110 Latin America: Market Size By End User, 2017–2024 (USD Thousand)
Table 111 Latin America: Market Size By Country, 2017–2024 (USD Thousand)
Table 112 Brazil: AI in Fashion Market Size, By Component, 2017–2024 (USD Thousand)
Table 113 Brazil: Market Size By Solution, 2017–2024 (USD Thousand)
Table 114 Brazil: Market Size By Service, 2017–2024 (USD Thousand)
Table 115 Brazil: Market Size By Deployment Mode, 2017–2024 (USD Thousand)
Table 116 Brazil: Market Size By Application, 2017–2024 (USD Thousand)
Table 117 Brazil: Market Size By Category, 2017–2024 (USD Thousand)
Table 118 Brazil: Market Size By End User, 2017–2024 (USD Thousand)

List of Figures

Figure 1 Market Segmentation
Figure 2 Regions Covered
Figure 3 AI in Fashion Market: Research Design
Figure 4 Market Breakup and Data Triangulation
Figure 5 AI in Fashion Market: Top-Down and Bottom-Up Approaches
Figure 6 Factor Analysis
Figure 7 Solutions Segment to Account for A Larger Market Size in 2019
Figure 8 Platforms Segment to Account for A Larger Market Size in 2019
Figure 9 Training and Consulting Segment to Account for the Largest Market Size in 2019
Figure 10 Fashion Stores to Account for A Larger Market Share in 2019
Figure 11 Product Recommendation to Account for the Largest Market Size in 2019
Figure 12 Asia Pacific to Account for the Highest CAGR During the Forecast Period
Figure 13 Growing Need to Deliver Personalized Experience to Drive the AI in Fashion Market
Figure 14 Accessories to Grow at the Fastest Rate During the Forecast Period
Figure 15 Product Recommendation and North America to Account for the Highest Market Shares in the AI in Fashion Market in 2019
Figure 16 Product Recommendation to Register the Highest Market Size in 2019
Figure 17 Asia Pacific to Be the Best Region for Investments During the Forecast Period
Figure 18 AI in Fashion Market: Drivers, Restraints, Opportunities, and Challenges
Figure 19 Services Segment to Grow at A Higher CAGR During the Forecast Period
Figure 20 Platforms to Hold the Largest Market Size During the Forecast Period
Figure 21 System Integration and Testing Segment to Grow at A Higher CAGR During the Forecast Period
Figure 22 Cloud Segment to Hold A Larger Market Size During the Forecast Period
Figure 23 Product Search and Discovery to Register the Highest CAGR During the Forecast Period
Figure 24 Accessories Segment to Grow at the Highest CAGR During the Forecast Period
Figure 25 Fashion Stores to Register A Larger Market Size During the Forecast Period
Figure 26 Asia Pacific to Grow at the Highest CAGR During the Forecast Period
Figure 27 Australia to Hold the Highest CAGR During the Forecast Period
Figure 28 Asia Pacific to have the Highest CAGR in the AI in Fashion Market During the Forecast Period
Figure 29 North America: Market Snapshot
Figure 30 Product Search and Discovery Segment to Grow at the Highest CAGR During the Forecast Period
Figure 31 Media and Entertainment Segment to Grow at the Highest CAGR During the Forecast Period
Figure 32 Asia Pacific: Market Snapshot
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 Product Search and Discovery Segment to Grow at the Highest CAGR During the Forecast Period
Figure 36 Microsoft: Company Snapshot
Figure 37 SWOT Analysis: Microsoft
Figure 38 IBM: Company Snapshot
Figure 39 SWOT Analysis: IBM
Figure 40 Google: Company Snapshot
Figure 41 SWOT Analysis: Google
Figure 42 AWS: Company Snapshot
Figure 43 SWOT Analysis: AWS
Figure 44 SAP: Company Snapshot
Figure 45 SWOT Analysis: SAP
Figure 46 Facebook: Company Snapshot
Figure 47 Adobe: Company Snapshot
Figure 48 Oracle: Company Snapshot
Figure 49 Marketsandmarkets Knowledge Store Snapshot
Figure 50 Marketsandmarkets Knowledge Store: Information & Communication Technology Snapshot

  • Global Smart Parking System Market Research Report 2024
    Published: 08-Jan-2024        Price: US 2900 Onwards        Pages: 99
    Smart Parking refers to The comprehensive application of wireless communication technology, mobile terminal technology, GPS positioning technology, GIS technology, etc. to The collection, management, query, reservation and navigation services of urban parking spaces to realize real-time update, query, reservation and navigation of parking space resources. The integration of navigation services can maximize The utilization of parking space resources, maximize The profit of The parking lot and opt......
  • Global Smart Office Market Research Report 2024
    Published: 08-Jan-2024        Price: US 2900 Onwards        Pages: 91
    Smart office products help in promoting efficient use of available resources and also ensure sustainability through use of ecofriendly processes. This report analyzed The smart office by product: smart lighting, security systems, HVAC control and by building type: retrofit, new construction. Usually it contains three important parts that is Underlying hardware systems, Network protocol, Terminal. The global Smart Office market was valued at US$ 1215 million in 2023 and is anticipate......
  • Global Online Smartphone & Tablet Games Market Growth (Status and Outlook) 2024-2030
    Published: 04-Jan-2024        Price: US 3660 Onwards        Pages: 113
    According to our LPI (LP Information) latest study, the global Online Smartphone & Tablet Games market size was valued at US$ 120570 million in 2023. With growing demand in downstream market, the Online Smartphone & Tablet Games is forecast to a readjusted size of US$ 279460 million by 2030 with a CAGR of 12.8% during review period. The research report highlights the growth potential of the global Online Smartphone & Tablet Games market. Online Smartphone & Tablet Games are expected to s......
  • Global Smart Parking System Market Growth (Status and Outlook) 2024-2030
    Published: 04-Jan-2024        Price: US 3660 Onwards        Pages: 128
    According to our LPI (LP Information) latest study, the global Smart Parking System market size was valued at US$ 3655.3 million in 2023. With growing demand in downstream market, the Smart Parking System is forecast to a readjusted size of US$ 10060 million by 2030 with a CAGR of 15.6% during review period. The research report highlights the growth potential of the global Smart Parking System market. Smart Parking System are expected to show stable growth in the future market. However, ......
  • Global High Performance Computing Market Growth (Status and Outlook) 2024-2030
    Published: 04-Jan-2024        Price: US 3660 Onwards        Pages: 127
    According to our LPI (LP Information) latest study, the global High Performance Computing market size was valued at US$ 31270 million in 2023. With growing demand in downstream market, the High Performance Computing is forecast to a readjusted size of US$ 65340 million by 2030 with a CAGR of 11.1% during review period. The research report highlights the growth potential of the global High Performance Computing market. High Performance Computing are expected to show stable growth in the f......
  • Global Social Media Analytics Market Growth (Status and Outlook) 2024-2030
    Published: 04-Jan-2024        Price: US 3660 Onwards        Pages: 129
    According to our LPI (LP Information) latest study, the global Social Media Analytics market size was valued at US$ million in 2023. With growing demand in downstream market, the Social Media Analytics is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during review period. The research report highlights the growth potential of the global Social Media Analytics market. Social Media Analytics are expected to show stable growth in the future market. However, product di......
  • Global Interactive Kiosk Market Growth 2024-2030
    Published: 04-Jan-2024        Price: US 3660 Onwards        Pages: 128
    According to our LPI (LP Information) latest study, the global Interactive Kiosk market size was valued at US$ 1001.7 million in 2023. With growing demand in downstream market, the Interactive Kiosk is forecast to a readjusted size of US$ 1487.4 million by 2030 with a CAGR of 5.8% during review period. The research report highlights the growth potential of the global Interactive Kiosk market. Interactive Kiosk are expected to show stable growth in the future market. However, product diff......
  • Global IoT Platforms Market Growth (Status and Outlook) 2024-2030
    Published: 04-Jan-2024        Price: US 3660 Onwards        Pages: 153
    According to our LPI (LP Information) latest study, the global IoT Platforms market size was valued at US$ 4474.8 million in 2023. With growing demand in downstream market, the IoT Platforms is forecast to a readjusted size of US$ 20970 million by 2030 with a CAGR of 24.7% during review period. The research report highlights the growth potential of the global IoT Platforms market. IoT Platforms are expected to show stable growth in the future market. However, product differentiation, red......
  • Global Drone Data Services Industry Research Report, In-depth Analysis of Current Status and Outlook of Key Countries 2023-2028
    Published: 04-Jan-2024        Price: US 3380 Onwards        Pages: 99
    Market Overview of Global Drone Data Services market: According to our latest research, the global Drone Data Services market looks promising in the next 5 years. As of 2022, the global Drone Data Services market was estimated at USD 1371.56 million, and it's anticipated to reach USD 20095.26 million in 2028, with a CAGR of 56.43% during the forecast years. This report covers a research time span from 2018 to 2028, and presents a deep and comprehensive analysis of the global ......
    • SERVICES
    Value for Money
    We believe in "optimum utilization of available budget and resources". While servicing our clients' (your) market research requirements, we keep the same approach in focus to help you get the best value for your $$s.
    Ever Growing Inventory
    Ranging from the smallest feasible / required data (datasheets, data facts, SWOT analysis, company profiles, etc) to full research reports that help you make decisions, our inventory is updated almost on a daily basis with the latest industry reports from domain experts that track more than 5000 niche sectors.
    One Stop Solution
    Need a custom research report on medical devices market? Require all available business intelligence on 3D printing industry? Exploring F&B sector of a particular country/region? RnRMarketResearch.com is your one-stop-solution to all market intelligence needs. We not only offer custom research and consulting services, we also "bundle" reports to meet your needs and help you fetch the data analysis you require for your business.
    Dedicated Client Engagement
    Not limited to only "finding" relevant reports for you, our client engagement team dedicates its efforts to understand your "business need" and accordingly maps available research data to help you move forward. Call "your" client engagement executive any time of your day and get your questions answered in order to make the correct business decision.
    Saving Time and Efforts
    Simply share your research requirement details with us and let us do all the hard work to find required intelligence for you. When you add up our "one stop solution" and "dedicated client engagement" services mentioned above, you obviously know the time and effort saving you do by working with us.
    Payment Flexibility
    Working with Fortune 500 organizations, we understand the importance of being flexible for payments. Share your payment terms with us and we will surely match up to them to ensure you get access to required business intelligence data without having to wait for the payment to be done.
    Post-Purchase Research Support
    Have questions after reading a report / datasheet bought through us? Not sure about the methodology used for data available in the research? Talk to us / Share your questions with us and if required, we will connect you with the analyst(s)/author(s) of the report(s) and ensure you get satisfactory answers for the same. Need more data / analysis / report(s) on the topic of your research/project? The RnRMarketResearch.com team is here for you 24X7 to support you with your post-purchase requirements. Subscription Offers & Packages (Get in touch with us for more details - [email protected] / +1 888 391 5441 )
    • Ad Hoc
    • Pay - as - you - go / Bucket Subscriptions
    • Fixed Cost for #of reports
    • Customize / Personalize as per your needs