Artificial Intelligence (AI) in Retail Market Overview:

In the Artificial Intelligence (AI) in Retail Market Trend research report, macroeconomic and microeconomic aspects that may have an impact on market dynamics are analyzed at multi levels. The market report forecasts that through mergers & acquisitions, partnerships, product launches, collaborations, and joint ventures, industry participants would be able to grow their market share and global presence.

The market research goes into great detail on the market share, revenue, production, consumption, gross margin, pricing, and market-influencing aspects of the Artificial Intelligence (AI) in Retail Market Trend. The primary variables influencing and limiting the market are covered in the research along with the existing trends and unrealized market potential. A complete SWOT analysis, operational background data, and competitor analysis are all included in market research.

“According to SNS Insider, the Artificial Intelligence in Retail Market size was estimated at US$ 5.07 Bn in 2022, and is expected to reach US$ 44.48 Bn by 2030, with a growing healthy CAGR of 31.17% over the forecast period 2023-2030.”

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Key players:, Inc., Google LLC, IBM Corporation, Intel Corporation, Microsoft Corporation, Nvidia Corporation, Oracle Corporation, SAP SE,, Inc., and BloomReach, Inc. are among the key participants in this sector, as are other local and regional businesses.

Market Segmentation

According to the market analysis, the Artificial Intelligence (AI) in Retail Market Trend has been segmented based on product type, end use, and application. The market research report's segments are assessed using information on market share, consumption, production, market attractiveness, and other relevant factors.

Market Segmentation and Sub-Segmentation included are:

On The Basis of Technology:

  • Neural networks
  • Deep learning
  • Facial recognition
  • Natural language processing
  • Voice assistance

On The Basis of Solution:

  • Visual Search
  • Virtual Assistant
  • Product Recommendation and Planning
  • Price Optimization
  • Customer Relationship Management
  • Others

On The Basis of components:

  • Solutions
  • Services

On The Basis of Deployment:

  • Premise
  • Cloud

COVID-19 Pandemic Impact Analysis

In light of the COVID-19 epidemic, the research looks at the Artificial Intelligence (AI) in Retail Market Trend's current position as well as prospective future growth areas. Both the COVID-19 pandemic era and the after pandemic period's market are meticulously analyzed in the market research report.

Regional Outlook

In respect to several geographical markets, the research report covers the dynamics of the Artificial Intelligence (AI) in Retail Market Trend with a focus on significant regional markets including Latin America, North America, Asia Pacific, Europe, and the Middle East and Africa.

Competitive Analysis

The research discusses the corporate profiles, growth objectives, and business strategies of the key market participants. Market share, CAGR, revenue, and other relevant data are all taken into account in its statistical study of the global Artificial Intelligence (AI) in Retail Market Trend. Numerous market intelligence research from different countries are included. Pivot tables, unformatted Excel files, and assistance from our analysts in creating presentations incorporating the study's data sets are additionally accessible.

Key Reasons to Buy the Artificial Intelligence (AI) in Retail Market Report

  • We can include as many competitors as you'd like in the competitive study to help you meet your specific goals.
  • The findings of this study will aid market participants in improving their choices and gaining a competitive edge.
  • The research report includes thorough estimates of how each segment will affect the market's growth as well as useful market statistics on how COVID-19 will affect each segment.


Our insights on the target market consistently fulfil the diverse needs of the leading market players. The report's distinctive point of view and explanation of its primary ideas help readers make decisions that are more appropriate and accurate.

Table of Contents

  1. Introduction
  2. Research Methodology
  3. Market Dynamics
  4. Impact Analysis
  • COVID-19 Impact Analysis
  • Impact of Ukraine- Russia war
  • Impact of Ongoing Recession on Major Economies
  1. Value Chain Analysis
  2. Porter’s 5 Forces Model
  3. PEST Analysis
  4. Artificial Intelligence (AI) In Retail Market Segmentation, by Technology
  5. Artificial Intelligence (AI) In Retail Market Segmentation, by Solution
  6. Artificial Intelligence (AI) In Retail Market Segmentation, by components
  7. Artificial Intelligence (AI) In Retail Market Segmentation, by Deployment
  8. Regional Analysis
  9. Company Profiles
  10. Competitive Landscape
  11. Conclusion

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