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Artificial Intelligence in Retail Market by Type (Online, Offline), Technology (Machine Learning and Deep Learning, NLP), Solution, Service (Professional, Managed), Deployment Mode (Cloud, On-Premises), Application, Region - Global Forecast to 2022

Artificial Intelligence in Retail Market by Type (Online, Offline), Technology (Machine Learning and Deep Learning, NLP), Solution, Service (Professional, Managed), Deployment Mode (Cloud, On-Premises), Application, Region - Global Forecast to 2022

“Need to offer seamless user-experience to customer and forecast future outcomes to make better strategic decision is expected to propel the AI in retail market growth”
The global AI in retail market size is expected to grow from USD 993.6 million in 2017 to USD 5,034.0 million by 2022, at a Compound Annual Growth Rate (CAGR) of 38.3%. Increasing necessity for superior surveillance and monitoring at a physical store, growing awareness and application of AI in the retail industry, enhanced user-experience, improved productivity, Return on Investment (RoI), mainlining inventory accuracy, and supply chain optimization are some of the key factors fueling the growth of this market. Emergence of machine learning, deep learning, and Natural Language Processing (NLP) technology are expected to develop the AI-based solution for retail and thus, will create opportunities for the growth of this market. However, issues with diverse development framework, models, mechanism in AI; concern over privacy and identity of the individual; and lack of skilled staff are few major challenges in the AI in retail market.

“Predictive merchandising application is expected to hold the largest market size during the forecast period”
The predictive merchandising application has numerous added benefits resulting in one of the highest rated application in the retail industry. It is also known as personalized product recommendations or automated merchandising. This application is beneficial for both eCommerce and stores for optimizing purchase, provide allocation, and product assortment. Therefore, it is the most sought-after application of AI retail solution that will generate the highest revenue in the market as compared to other applications.

“North America is expected to have the largest market size during the forecast period”
Among regions, North America is the highest contributor in the adoption and implementation of AI in retail. The region, including the US and Canada, has shown increased investments in the market, and several vendors have evolved to cater to the rapidly growing market. In the present-day situation, diverse organizations in the retail and eCommerce in North America are extensively implementing AI solutions. Moreover, many retailers in the region are technically advanced and are evolving to increase revenue and sales at the same time to decrease operational expenses. IBM, Google, Microsoft, NVIDIA, Intel, and Amazon Web Services are some of the companies that provide AI in retail products and services in North America, contributing to the highest revenue generated by the region.

In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with the key people. The break-up of the profiles of the primary participants is given below:
• By Company: Tier 1: 18%, Tier 2: 48%, and Tier 3: 34%
• By Designation: C-level: 22%, Director level: 43%, and Others: 35%
• By Region: North America: 23%, Europe: 48%, APAC: 16%, and MEA: 13%

The key vendors profiled in the report are as follows:
1. IBM (US)
2. Microsoft (US)
3. Amazon Web Services (US)
4. Oracle (US)
5. SAP (Germany)
6. Intel (US)
7. NVIDIA (US)
8. Google (US)
9. Sentient technologies (US)
10. Salesforce (US)
11. ViSenze (Singapore)

Research Coverage
The report is majorly segmented into types, technologies, solutions, services, deployment modes, applications, and region. Further, AI in retail market based on type includes online (eCommerce) and offline (brick-and-mortar store) retail. Technology segment is sub-segmented into machine learning and deep learning, NLP, and others which include analytics and process automation. Solution segment in the report comprises product recommendation and planning, customer relationship management, visual search, virtual assistant, price optimization, payment services management, supply chain management and demand planning, and others which include website and content optimization, space planning, fraud detection, and franchise management. Professional services and managed services are segmented under services segment. Further, deployment mode includes cloud and on-premise deployment, whereas application segment includes predictive merchandising, programmatic advertising, market forecasting, in-store visual monitoring and surveillance, location-based marketing, and others (real-time pricing and incentives, and real-time product targeting). The regions are segmented into North America, Europe, APAC, Latin America, and Middle East and Africa (MEA).

Reasons to buy the report
The report will help the market leaders/new entrants in this market in the following ways:
1. The report segments the market into various subsegments, hence it covers the market comprehensively. It provides the closest approximations of the revenue numbers for the overall market and the subsegments. The market numbers are further split across different regions.
2. The report helps stakeholders to understand the pulse of the market and provides them with information on the key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to better understand the competitors and gain more insights to enhance their position in the business. The competitive landscape section includes new product launches/developments; partnerships and collaborations; mergers and acquisitions; and expansions.


  • INTRODUCTION
    • OBJECTIVES OF THE STUDY
    • MARKET DEFINITION
    • MARKET SCOPE
      • YEARS CONSIDERED FOR THE STUDY
      • CURRENCY
        • Table CURRENCY EXCHANGE RATE
    • STAKEHOLDERS
  • RESEARCH METHODOLOGY
    • RESEARCH DATA
      • SECONDARY DATA
      • PRIMARY DATA
    • MARKET SIZE ESTIMATION
      • BOTTOM-UP APPROACH
      • TOP-DOWN APPROACH
    • RESEARCH ASSUMPTIONS
    • LIMITATIONS
  • EXECUTIVE SUMMARY
  • PREMIUM INSIGHTS
    • ATTRACTIVE MARKET OPPORTUNITIES IN THE ARTIFICIAL INTELLIGENCE IN RETAIL MARKET
    • ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: TECHNOLOGIES
    • LIFECYCLE ANALYSIS, BY REGION, 2017-2022
  • MARKET OVERVIEW AND INDUSTRY TRENDS
    • INTRODUCTION
    • MARKET DYNAMICS
      • DRIVERS
      • RESTRAINTS
      • OPPORTUNITIES
      • CHALLENGES
    • INDUSTRY TRENDS
      • INTRODUCTION
      • USE CASES
    • REGULATORY IMPLICATIONS
      • INTRODUCTION
      • SARBANES-OXLEY ACT OF 2002
      • GENERAL DATA PROTECTION REGULATION
      • BASEL
  • ARTIFICIAL INTELLIGENCE IN RETAIL MARKET ANALYSIS, BY TYPE
    • INTRODUCTION
      • Table ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
    • ONLINE RETAIL
      • Table ONLINE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • OFFLINE RETAIL
      • Table OFFLINE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • ARTIFICIAL INTELLIGENCE IN RETAIL MARKET ANALYSIS, BY TECHNOLOGY
    • INTRODUCTION
      • Table ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2015-2022 (USD MILLION)
    • MACHINE LEARNING AND DEEP LEARNING
      • FACIAL RECOGNITION
      • EMOTION DETECTION
        • Table MACHINE LEARNING AND DEEP LEARNING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • NATURAL LANGUAGE PROCESSING
      • Table NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • OTHERS
      • ANALYTICS
      • PROCESS AUTOMATION
        • Table OTHERS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • ARTIFICIAL INTELLIGENCE IN RETAIL MARKET ANALYSIS, BY SOLUTION
    • INTRODUCTION
      • Table ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOLUTION, 2015-2022 (USD MILLION)
    • PRODUCT RECOMMENDATION AND PLANNING
      • Table PRODUCT RECOMMENDATION AND PLANNING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • CUSTOMER RELATIONSHIP MANAGEMENT
      • Table CUSTOMER RELATIONSHIP MANAGEMENT: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • VISUAL SEARCH
      • Table VISUAL SEARCH: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • VIRTUAL ASSISTANT
      • Table VIRTUAL ASSISTANT: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • PRICE OPTIMIZATION
      • Table PRICE OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • PAYMENT SERVICES MANAGEMENT
      • Table PAYMENT SERVICES MANAGEMENT: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • SUPPLY CHAIN MANAGEMENT AND DEMAND PLANNING
      • Table SUPPLY CHAIN MANAGEMENT AND DEMAND PLANNING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • OTHERS
      • Table OTHERS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • ARTIFICIAL INTELLIGENCE IN RETAIL MARKET ANALYSIS, BY SERVICE
    • INTRODUCTION
      • Table ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICE, 2015-2022 (USD MILLION)
    • PROFESSIONAL SERVICES
      • Table PROFESSIONAL SERVICES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • MANAGED SERVICES
      • Table MANAGED SERVICES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • ARTIFICIAL INTELLIGENCE IN RETAIL MARKET ANALYSIS, BY DEPLOYMENT MODE
    • INTRODUCTION
      • Table ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION)
    • CLOUD
      • Table CLOUD: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • ON-PREMISES
      • Table ON-PREMISES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • ARTIFICIAL INTELLIGENCE IN RETAIL MARKET ANALYSIS, BY APPLICATION
    • INTRODUCTION
      • Table ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION, 2015-2022 (USD MILLION)
    • PREDICTIVE MERCHANDISING
      • Table PREDICTIVE MERCHANDISING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • PROGRAMMATIC ADVERTISING
      • Table PROGRAMMATIC ADVERTISING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • MARKET FORECASTING
      • Table MARKET FORECASTING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • IN-STORE VISUAL MONITORING AND SURVEILLANCE
      • Table IN-STORE VISUAL MONITORING AND SURVEILLANCE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • LOCATION-BASED MARKETING
      • Table LOCATION-BASED MARKETING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • OTHERS
      • REAL-TIME PRICING AND INCENTIVES
      • REAL-TIME PRODUCT TARGETING
        • Table OTHERS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • GEOGRAPHIC ANALYSIS
    • INTRODUCTION
      • Table ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • NORTH AMERICA
      • NORTH AMERICA, BY TYPE
        • Table NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
      • NORTH AMERICA, BY TECHNOLOGY
        • Table NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2015-2022 (USD MILLION)
      • NORTH AMERICA, BY SOLUTION
        • Table NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOLUTION, 2015-2022 (USD MILLION)
      • NORTH AMERICA, BY SERVICE
        • Table NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICE, 2015-2022 (USD MILLION)
      • NORTH AMERICA, BY DEPLOYMENT MODE
        • Table NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION)
      • NORTH AMERICA, BY APPLICATION
        • Table NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION, 2015-2022 (USD MILLION)
    • EUROPE
      • EUROPE, BY TYPE
        • Table EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
      • EUROPE, BY TECHNOLOGY
        • Table EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2015-2022 (USD MILLION)
      • EUROPE, BY SOLUTION
        • Table EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOLUTION, 2015-2022 (USD MILLION)
      • EUROPE, BY SERVICE
        • Table EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICE, 2015-2022 (USD MILLION)
      • EUROPE, BY DEPLOYMENT MODE
        • Table EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION)
      • EUROPE, BY APPLICATION
        • Table EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION, 2015-2022 (USD MILLION)
    • ASIA PACIFIC
      • ASIA PACIFIC, BY TYPE
        • Table ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
      • ASIA PACIFIC, BY TECHNOLOGY
        • Table ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2015-2022 (USD MILLION)
      • ASIA PACIFIC, BY SOLUTION
        • Table ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOLUTION, 2015-2022 (USD MILLION)
      • ASIA PACIFIC, BY SERVICE
        • Table ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICE, 2015-2022 (USD MILLION)
      • ASIA PACIFIC, BY DEPLOYMENT MODE
        • Table ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION)
      • ASIA PACIFIC, BY APPLICATION
        • Table ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION, 2015-2022 (USD MILLION)
    • LATIN AMERICA
      • LATIN AMERICA, BY TYPE
        • Table LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
      • LATIN AMERICA, BY TECHNOLOGY
        • Table LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2015-2022 (USD MILLION)
      • LATIN AMERICA, BY SOLUTION
        • Table LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOLUTION, 2015-2022 (USD MILLION)
      • LATIN AMERICA, BY SERVICE
        • Table LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICE, 2015-2022 (USD MILLION)
      • LATIN AMERICA, BY DEPLOYMENT MODE
        • Table LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION)
      • LATIN AMERICA, BY APPLICATION
        • Table LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION, 2015-2022 (USD MILLION)
    • MIDDLE EAST AND AFRICA
      • MIDDLE EAST AND AFRICA, BY TYPE
        • Table MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
      • MIDDLE EAST AND AFRICA, BY TECHNOLOGY
        • Table MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2015-2022 (USD MILLION)
      • MIDDLE EAST AND AFRICA, BY SOLUTION
        • Table MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOLUTION, 2015-2022 (USD MILLION)
      • MIDDLE EAST AND AFRICA, BY SERVICE
        • Table MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICE, 2015-2022 (USD MILLION)
      • MIDDLE EAST AND AFRICA, BY DEPLOYMENT MODE
        • Table MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION)
      • MIDDLE EAST AND AFRICA, BY APPLICATION
        • Table MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION, 2015-2022 (USD MILLION)
  • COMPANY PROFILES
    • IBM
      • OVERVIEW
      • STRENGTH OF PRODUCT PORTFOLIO
      • BUSINESS STRATEGY EXCELLENCE
      • RECENT DEVELOPMENTS
    • MICROSOFT
      • OVERVIEW
      • STRENGTH OF PRODUCT PORTFOLIO
      • BUSINESS STRATEGY EXCELLENCE
      • RECENT DEVELOPMENTS
    • NVIDIA
      • OVERVIEW
      • STRENGTH OF PRODUCT PORTFOLIO
      • BUSINESS STRATEGY EXCELLENCE
      • RECENT DEVELOPMENTS
    • AMAZON WEB SERVICES
      • OVERVIEW
      • STRENGTH OF PRODUCT PORTFOLIO
      • BUSINESS STRATEGY EXCELLENCE
      • RECENT DEVELOPMENTS
    • ORACLE
      • OVERVIEW
      • STRENGTH OF PRODUCT PORTFOLIO
      • BUSINESS STRATEGY EXCELLENCE
      • RECENT DEVELOPMENTS
    • SAP
      • OVERVIEW
      • STRENGTH OF PRODUCT PORTFOLIO
      • BUSINESS STRATEGY EXCELLENCE
      • RECENT DEVELOPMENTS
    • INTEL
      • OVERVIEW
      • STRENGTH OF PRODUCT PORTFOLIO
      • BUSINESS STRATEGY EXCELLENCE
      • RECENT DEVELOPMENTS
    • GOOGLE
      • OVERVIEW
      • STRENGTH OF PRODUCT PORTFOLIO
      • BUSINESS STRATEGY EXCELLENCE
      • RECENT DEVELOPMENTS
    • SENTIENT TECHNOLOGIES
      • OVERVIEW
      • STRENGTH OF PRODUCT PORTFOLIO
      • BUSINESS STRATEGY EXCELLENCE
      • RECENT DEVELOPMENTS
    • SALESFORCE
      • OVERVIEW
      • STRENGTH OF PRODUCT PORTFOLIO
      • BUSINESS STRATEGY EXCELLENCE
      • RECENT DEVELOPMENTS
    • VISENZE
      • OVERVIEW
      • STRENGTH OF PRODUCT PORTFOLIO
      • BUSINESS STRATEGY EXCELLENCE
      • RECENT DEVELOPMENTS
  • APPENDIX
    • INDUSTRY EXPERTS
    • DISCUSSION GUIDE
    • KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
    • INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
    • RELATED REPORTS
    • AUTHOR DETAILS

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