Artificial Intelligence in Retail Market Report 2023: Global Size, Share By Forecast Period

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The global artificial intelligence in retail market size was valued at USD 5.91 billion in 2022. It is projected to reach USD 89.79 billion by 2031, growing at a CAGR of 35.3% during the forecast period (2023–2031).

Artificial Intelligence in Retail Market Size:

Las Vegas, United States: The Global Artificial Intelligence in Retail Market research report proposed by Straits Research provides outstanding business intelligence for organizations of all sizes. The objective of this report is to examine the global Artificial Intelligence in Retail Market at a high level and the future prospects of the industry. Utilizing real-time big data analysis, our report is a unique combination of multidisciplinary approaches adopted by our experts to cover all angles. This report provides a comprehensive analysis of the valuation of the global Artificial Intelligence in Retail Market at various times. Given is a comprehensive analysis of the numerous strategies associated with the expansion of the industry.

The global artificial intelligence in retail market size was valued at USD 5.91 billion in 2022. It is projected to reach USD 89.79 billion by 2031, growing at a CAGR of 35.3% during the forecast period (2023–2031).

Competitive Landscape

Some of the prominent players operating in the Artificial Intelligence in Retail market are

  1. Accenture
  2. Amazon Web Services Inc.
  3. Google Inc.
  4. ntel Corporation
  5. IBM Corporation
  6. Microsoft Corporation
  7. Numenta Inc.
  8. NVIDIA Corporation
  9. Oracle Corporation
  10. Salesforce.com Inc.
  11. SAP SE
  12. Sentient Technologies
  13. ViSenze Pte Ltd.

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Studies explore the effects of COVID-19 on the upstream, midstream, and downstream sectors of the industry. In addition, this analysis provides extensive market estimations by putting an emphasis on data covering numerous factors that encompass market dynamics such as market drivers, market barriers, market opportunities, market risks, and industry news and trends.

This research also provides a dashboard view of prominent Organization, highlighting their effective marketing tactics, market share and most recent advances in both historical and current settings.

Global Artificial Intelligence in Retail Market: Segmentation

As a result of the Artificial Intelligence in Retail market segmentation, the market is divided into sub-segments based on product type, application, as well as regional and country-level forecasts.

  1. By Type
    1. Online
    2. Offline
  2. By Technology
    1. Machine Learning and Deep Learning
    2. Natural Language Processing
    3. Others
  3. By Solution
    1. Product Recommendation and Planning
    2. Customer Relationship Management
    3. Visual Search
    4. Virtual Assistant
    5. Price Optimization
    6. Payment Services management
    7. Supply chain management and Demand Planning
    8. Others
  4. By Service
    1. Professional Services
    2. Managed Services
  5. By Deployment Model
    1. Cloud
    2. On-Premises
  6. By Application
    1. Predictive Merchandising
    2. Programmatic Advertising
    3. Market Forecasting
    4. In-Store Visual Monitoring and Surveillance
    5. Location-Based Marketing
    6. Other

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Market Highlights:

  • A company's revenue and the applications market are used by market analysts, data analysts, and others in connected industries to assess product values and regional markets.
  • But not limited to: reports from corporations, international Organization, and governments; market surveys; relevant industry news.
  • Examining historical market patterns, making predictions for the year 2022, as well as looking forward to 2030, using CAGRs (compound annual growth rates)
  • Historical and anticipated data on demand, application, pricing, and market share by country are all included in the study, which focuses on major markets such the United States, Europe, and China.
  • Apart from that, it sheds light on the primary market forces at work as well as the obstacles, opportunities, and threats that suppliers face. In addition, the worldwide market's leading players are profiled, together with their respective market shares.

Goals of the Study

  • Global Artificial Intelligence in Retail market consumption (value) by main areas and countries, product type (and application), statistics from 2019 to 2020 will be examined till forecast 2030.
  • Identify the different subsegments of the Artificial Intelligence in Retail market in order to better comprehend its structure.
  • Analysis of the value of the market, as well as the competitive landscape, Porter's five forces analysis and SWOT analysis of the top Artificial Intelligence in Retail worldwide manufacturers are included in this report.
  • We'll look at how well each of the Artificial Intelligence in Retail is doing and how much they contribute to market size.
  • Sharing in-depth information regarding the market's development factors (growth potential, opportunities, drivers, industry-specific challenges and risks).
  • According to main geographies, the consumption of Artificial Intelligence in Retail submarkets will be forecasted (along with their respective key countries).
  • To keep up with market changes, such as new product launches, expansions, and acquisitions.
  • To identify and assess the most important companies in the market, as well as their development plans.

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