• email inquiry@market.us
  • phone+1 718 618 4351 (International)
  • phone+91 78878 22626 (Asia)
  • About Us
  • Contact Us
menu One Stop Shop For Reports One Stop Shop For Reports
search more_vert
  • Home
  • All Reports
  • All Sectors
  • Infographics
  • News Media
    • United States
    • United Kingdom
    • Asia Pacific
  • Who Trust Us
Home / Reports / Artificial intelligence (AI) Market
  • Home / Reports / Artificial intelligence (AI) Market

Global Artificial intelligence (AI) Market By Type (Solutions and Services), By Application (Programmatic Advertising, Predictive Merchandising, In-Store Visual Monitoring, Surveillance, Market Forecasting, Location-Based Marketing), By Region and Key Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends and Forecast 2020–2029

  • Overview
  • Table of Contents
  • Major Market Players
  • Inquiry Before Buying
  • account_circleAbout Me
    • 22777
    • $3,495.00
    • $5,100.00
    • $7,200.00
    Buy Now

    Artificial intelligence is an emerging technology that focuses on making intelligent machines that are capable of solving problems. Today, Artificial Intelligence perform similar task like humans. AI is capable of combining massive sets of data with the help of detailed algorithms and iterative process. It allows the program to learn from different patterns in the data. Artificial Intelligence (AI) is a significant factor for the digitalization of in-store retail. It creates a more engaged and interactive business by personalizing the customer experience. Also, AI creates an opportunity to bridge the gap between virtual and physical sales channels for retail companies. The primary goal of AI technology is to create an expert human intelligence system that can understand, think, and learn to behave like humans.

    Artificial Intelligence is used in various applications such as Marketing, Banking, Finance, Agriculture, Health Care, Gaming, Space Exploration, Chatbots, Social Media, Autonomous Vehicles, and Artificial Creativity. Different AI technologies such as computer vision, natural language processing, machine learning, and gesture recognition are used in the retail sector. Artificial Intelligence is used in the retail industry to make work automated and reduce working time.

    Increasing demand for AI is growing in the retail market owing to its benefits like cost-saving, faster resolution of business problems and analytics, more rapid delivery of new products and services in the retail space. The increasing adoption of the IoT, machine learning, and deep learning technology among retailers of various organizations is also one of the major factors propelling the target market. Furthermore, the efforts from retailers to gain access to more customers and enhance business visibility are some of the factors that are powering the retail industry. Lack of properly skilled professionals and cloud-based technology in the developing and under-developing countries is a factor expected to hinder the lucrative growth of the target market. Additionally, integration issues of AI with different technology are restraining the growth of the Artificial Intelligence market. Furthermore, the approach for doing repetitive tasks is also automated by using Artificial Intelligence as it gives better performance.

    Request Covid - 19 Impact

    Global Artificial Intelligence (AI) Retail Market is segmented by product type, by technology, by application, and by region. The product type segment includes solutions and services. The solution segment is projected to register a significant market share in terms of revenue and maintain its dominance during the forecast period. This is attributed to the rapid adoption of advanced technology, consistent penetration of smartphones connected devices,  advancements in big data across the retail sector, and increasing adoption of the multi-channel retailing strategy.

    Based on technology Artificial Intelligence Market is segmented into Machine Learning, Natural Language Processing (NLP), and Computer Vision. Machine learning and deep learning technology widely use technology in the retail market as it offers personalized experience and also provides a friendly environment. Based on the application Artificial Intelligence Market is segmented into Programmatic Advertising, Predictive Merchandising, In-Store Visual Monitoring and Surveillance, Market Forecasting, and Location-Based Marketing. In-Store Visual Monitoring and Surveillance is widely used owing to its benefits of better tracking capabilities, safety protocols, prevention against shoplifting. Geographically, North America is estimated to dominate the target market owing to its advanced IT infrastructure, and early adoption of technology BFSI market. Also, the presence of key players & start-ups, adoption rate, and high penetration of the internet are some factors giving a new way for the growth of the target market. The Asia Pacific AI market is expected to hold a major share in the global market due presence of the young population, government initiatives towards digitization, developing internet and connectivity infrastructure, and growing adoption of AI-based solutions and services among retailers.

    Global Artificial Intelligence (AI) in Retail Market Segmentation:

    Based on the Type:

    • Solutions
      • Chatbot
      • Customer Behavior Tracking
      • Customer Relationship Management (CRM)
      • Inventory Management
      • Price Optimization
      • Recommendation Engines
      • Supply Chain Management
      • Visual Search
    • Services
      • Managed services
      • Professional services

    Based on Technology:

    • Machine Learning
    • Natural Language Processing (NLP)
    • Computer Vision

    Based on the Application:

    • Programmatic Advertising
    • Predictive Merchandising
    • In-Store Visual Monitoring
    • Surveillance
    • Market Forecasting
    • Location-Based Marketing

    Based on the Region:

    • North America
    • Latin America
    • Asia-Pacific
    • Europe
    • Middle East and Africa.

    Key Players in the market are:

    • IBM (US)
    • Oracle (US)
    • NVIDIA (US)
    • Google (US)
    • Intel (US)
    • SAP (Germany)
    • Salesforce (US)
    • International Business Machines Corporation
    • Microsoft Corporation
    • Accenture PLC
    • Intel Corporation
    • ViSenze Pte. Ltd.
    • Evolv Technologies Inc.
    • Amazon Web Services (US)
    • Infosys Limited
    • Numenta Inc.
    • Sentient Technologies (US)
    • ViSenze (Singapore).

    Artificial intelligence (AI) Market

    add_shopping_cartBuy Now get_appDownload Sample
    keyboard_arrow_up
  • account_circleAbout Me
    • 22777
    • $3,495.00
    • $5,100.00
    • $7,200.00
    Buy Now
    • 1. Global Artificial Intelligence (AI) in Retail Market Introduction
      • 1.1. Definition
      • 1.2. Taxonomy
      • 1.3. Research Scope
    • 2. Executive Summary
      • 2.1. Key Findings by Major Segments
      • 2.2. Top strategies by Major Players
    • 3. Global Artificial Intelligence (AI) in Retail Market Overview
      • 3.1. Artificial Intelligence (AI) in Retail Market Dynamics
        • 3.1.1. Drivers
        • 3.1.2. Opportunities
        • 3.1.3. Restraints
        • 3.1.4. Challenges
      • 3.2. PESTLE Analysis
      • 3.3. Opportunity Map Analysis
      • 3.4. PORTER'S Five Forces Analysis
      • 3.5. Market Competition Scenario Analysis
      • 3.6. Product Life Cycle Analysis
      • 3.7. Opportunity Orbits
      • 3.8. Production Analysis by Region/Company
      • 3.9. Industry chain Analysis
      • 3.10. Marketing Strategy
    • 4. Global Artificial Intelligence (AI) in Retail Market Value & Volume (US$ Mn), Share (%), and Growth Rate (%) Comparison by Type, 2012-2028
      • 4.1. Global Artificial Intelligence (AI) in Retail Market Analysis by Type: Introduction
      • 4.2. Market Size and Forecast by Region
      • 4.3. Solutions
        • 4.3.1. Chatbot
        • 4.3.2. Customer Behavior Tracking
        • 4.3.3. Customer Relationship Management (CRM)
        • 4.3.4. Inventory Management
        • 4.3.5. Price Optimization
      • 4.4. Services
        • 4.4.1. Managed services
        • 4.4.2. Professional services
    • 5. Global Artificial Intelligence (AI) in Retail Market Value & Volume (US$ Mn), Share (%), and Growth Rate (%) Comparison by Application, 2012-2028
      • 5.1. Global Artificial Intelligence (AI) in Retail Market Analysis by Application: Introduction
      • 5.2. Market Size and Forecast by Region
      • 5.3. Programmatic Advertising
      • 5.4. Predictive Merchandising
      • 5.5. In-Store Visual Monitoring
      • 5.6. Surveillance
      • 5.7. Market Forecasting
      • 5.8. Location-Based Marketing
    • 8. Global Artificial Intelligence (AI) in Retail Market Value & Volume (US$ Mn), Share (%), and Growth Rate (%) Comparison by Technology, 2012-2028
      • 8.1. Global Artificial Intelligence (AI) in Retail Market Analysis by Technology: Introduction
      • 8.2. Market Size and Forecast by Region
      • 8.3. Machine Learning
      • 8.4. Natural Language Processing (NLP)
      • 8.5. Computer Vision
    • 7. Global Artificial Intelligence (AI) in Retail Market Value & Volume (US$ Mn), Share (%), and Growth Rate (%) Comparison by Region, 2012-2028
      • 7.1. North America
        • 7.1.1. North America Artificial Intelligence (AI) in Retail Market : Regional Trend Analysis
          • 7.1.1.1. US
          • 7.1.1.2. Canada
          • 7.1.1.3. Mexico
      • 7.2.1. Europe
        • 7.2.1. Europe Artificial Intelligence (AI) in Retail Market : Regional Trend Analysis
          • 7.2.1.1. Germany
          • 7.2.1.2. France
          • 7.2.1.3. UK
          • 7.2.1.4. Russia
          • 7.2.1.5. Italy
          • 7.2.1.6. Spain
          • 7.2.1.7. Rest of Europe
      • 7.3. Asia-Pacific
        • 7.3.1. Asia-Pacific Artificial Intelligence (AI) in Retail Market : Regional Trend Analysis
          • 7.3.1.1. China
          • 7.3.1.2. Japan
          • 7.3.1.3. Korea
          • 7.3.1.4. India
          • 7.3.1.5. Rest of Asia-Pacific
      • 7.4. Latin America
        • 7.4.1. Latin America Artificial Intelligence (AI) in Retail Market : Regional Trend Analysis
          • 7.4.1.1. Brazil
          • 7.4.1.2. Argentina
          • 7.4.1.3. Rest of Latin America
      • 7.5. Middle East and Africa
        • 7.5.1. Middle East and Africa Artificial Intelligence (AI) in Retail Market : Regional Trend Analysis
          • 7.5.1.1. GCC
          • 7.5.1.2. South Africa
          • 7.5.1.3. Israel
          • 7.5.1.4. Rest of MEA
    • 8. Global Artificial Intelligence (AI) in Retail Market Competitive Landscape, Market Share Analysis, and Company Profiles
      • 8.1. Market Share Analysis
      • 8.2. Company Profiles
      • 8.3. IBM (US)
        • 8.3.1. Company Overview
        • 8.3.2. Financial Highlights
        • 8.3.3. Product Portfolio
        • 8.3.4. SWOT Analysis
        • 8.3.5. Key Strategies and Developments
      • 8.4. Oracle (US)
        • 8.4.1. Company Overview
        • 8.4.2. Financial Highlights
        • 8.4.3. Product Portfolio
        • 8.4.4. SWOT Analysis
        • 8.4.5. Key Strategies and Developments
      • 8.5. NVIDIA (US)
        • 8.5.1. Company Overview
        • 8.5.2. Financial Highlights
        • 8.5.3. Product Portfolio
        • 8.5.4. SWOT Analysis
        • 8.5.5. Key Strategies and Developments
      • 8.6. Google (US)
        • 8.6.1. Company Overview
        • 8.6.2. Financial Highlights
        • 8.6.3. Product Portfolio
        • 8.6.4. SWOT Analysis
        • 8.6.5. Key Strategies and Developments
      • 8.7. Intel (US)
        • 8.7.1. Company Overview
        • 8.7.2. Financial Highlights
        • 8.7.3. Product Portfolio
        • 8.7.4. SWOT Analysis
        • 8.7.5. Key Strategies and Developments
      • 8.8. SAP (Germany)
        • 8.8.1. Company Overview
        • 8.8.2. Financial Highlights
        • 8.8.3. Product Portfolio
        • 8.8.4. SWOT Analysis
        • 8.8.5. Key Strategies and Developments
      • 8.9. Salesforce (US)
        • 8.9.1. Company Overview
        • 8.9.2. Financial Highlights
        • 8.9.3. Product Portfolio
        • 8.9.4. SWOT Analysis
        • 8.9.5. Key Strategies and Developments
      • 8.10. Microsoft Corporation
        • 8.10.1. Company Overview
        • 8.10.2. Financial Highlights
        • 8.10.3. Product Portfolio
        • 8.10.4. SWOT Analysis
        • 8.10.5. Key Strategies and Developments
      • 8.11. Accenture PLC
        • 8.11.1. Company Overview
        • 8.11.2. Financial Highlights
        • 8.11.3. Product Portfolio
        • 8.11.4. SWOT Analysis
        • 8.11.5. Key Strategies and Developments
      • 8.12. Intel Corporation
        • 8.12.1. Company Overview
        • 8.12.2. Financial Highlights
        • 8.12.3. Product Portfolio
        • 8.12.4. SWOT Analysis
        • 8.12.5. Key Strategies and Developments
      • 8.13. ViSenze Pte. Ltd.
        • 8.13.1. Company Overview
        • 8.13.2. Financial Highlights
        • 8.13.3. Product Portfolio
        • 8.13.4. SWOT Analysis
        • 8.13.5. Key Strategies and Developments
      • 8.14. Evolv Technologies Inc.
        • 8.14.1. Company Overview
        • 8.14.2. Financial Highlights
        • 8.14.3. Product Portfolio
        • 8.14.4. SWOT Analysis
        • 8.14.5. Key Strategies and Developments
      • 8.15. Amazon Web Services (US)
        • 8.15.1. Company Overview
        • 8.15.2. Financial Highlights
        • 8.15.3. Product Portfolio
        • 8.15.4. SWOT Analysis
        • 8.15.5. Key Strategies and Developments
      • 8.16. Infosys Limited
        • 8.16.1. Company Overview
        • 8.16.2. Financial Highlights
        • 8.16.3. Product Portfolio
        • 8.16.4. SWOT Analysis
        • 8.16.5. Key Strategies and Developments
      • 8.17. Numenta Inc.
        • 8.17.1. Company Overview
        • 8.17.2. Financial Highlights
        • 8.17.3. Product Portfolio
        • 8.17.4. SWOT Analysis
        • 8.17.5. Key Strategies and Developments
      • 8.18. Sentient Technologies (US)
        • 8.18.1. Company Overview
        • 8.18.2. Financial Highlights
        • 8.18.3. Product Portfolio
        • 8.18.4. SWOT Analysis
        • 8.18.5. Key Strategies and Developments
      • 8.19. ViSenze (Singapore).
        • 8.19.1. Company Overview
        • 8.19.2. Financial Highlights
        • 8.19.3. Product Portfolio
        • 8.19.4. SWOT Analysis
        • 8.19.5. Key Strategies and Developments
      • 8.20.1. Company Overview
      • 8.20.2. Financial Highlights
      • 8.20.3. Product Portfolio
      • 8.20.4. SWOT Analysis
      • 8.20.5. Key Strategies and Developments
    • 9. Assumptions and Acronyms
    • 10. Research Methodology
    • 11. Contact
  • ondemand_videoVideos
    • 22777
    • $3,495.00
    • $5,100.00
    • $7,200.00
    Buy Now
    • IBM (US)
    • Oracle (US)
    • NVIDIA (US)
    • Google (US)
    • Intel (US)
    • SAP (Germany)
    • Salesforce (US)
    • International Business Machines Corporation
    • Microsoft Corporation
    • Accenture PLC
    • Intel Corporation
    • ViSenze Pte. Ltd.
    • Evolv Technologies Inc.
    • Amazon Web Services (US)
    • Infosys Limited
    • Numenta Inc.
    • Sentient Technologies (US)
    • ViSenze (Singapore).
  • settingsSettings

Our Clients

Subscribe

Subscribe Now

Request for Sample


  • 22777
  • $3,495.00
  • $5,100.00
  • $7,200.00
Buy Now
  • location_on420 Lexington Avenue, Suite 300 New York City, NY 10170,
    United States
  • phone+1 718 618 4351 (International)
  • phone+91 78878 22626 (Asia)
  • emailinquiry@market.us

Find Help

  • Contact Us
  • How to Order

Legal

  • Privacy Policy
  • Refund Policy
  • Frequently Asked Questions
  • Terms and Conditions

Explore

  • About Us
  • All Reports
  • All Sectors
  • Infographics
  • Statistics and Facts

Secured Payment Options

PayPal Payment System
Payoneer Payment System

© 2021 Market.Us. All Rights Reserved.

Share
Tweet
Share
Pin
0 Shares