Artificial Intelligence In Retail Market Intelligence Report: Potential Growth Projections Through 2024-2031 | Amazon.com, Inc., IBM Corporation, Intel Corporation.

The Artificial Intelligence In Retail Market report by DataM Intelligence provides insights into the latest trends and developments in the market. This report identifies the key growth opportunities in the market and provides recommendations for market participants to capitalize on these opportunities. Overall, the Artificial Intelligence In Retail market report is an essential resource for market participants who are looking to gain a comprehensive understanding of the market and identify opportunities for growth.

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The Global Artificial Intelligence In Retail Market reached US$ 5.5 billion in 2022 and is expected to reach US$ 55.4 billion by 2030, growing with a CAGR of 34.2% during the forecast period 2024-2031.

The Artificial Intelligence (AI) in Retail Market focuses on the integration of AI technologies, such as machine learning, natural language processing, and computer vision, to enhance customer experiences, optimize inventory management, and improve sales forecasting. It includes applications like personalized recommendations, chatbots, and automated checkouts. Market growth is driven by the increasing demand for data-driven insights, enhanced customer engagement, and the need for operational efficiency in the retail sector.

Competitive Landscape

The section also contains information related to the new product launches, mergers, acquisitions, collaborations, etc., to give a clear understanding about the competitive landscape prevailing in the global market. With an emphasis on strategies there have been several primary developments done by major companies such as Amazon.com, Inc., IBM Corporation, Intel Corporation, Google LLC, Salesforce.com, Inc., SAP SE, Talkdesk, Inc., Microsoft Corporation, Nvidia Corporation and Oracle Corporation.

Key Developments:

In January 2023, EY introduced the EY Retail Intelligence solution, leveraging the Microsoft Cloud and Cloud for Retail to enhance consumers' shopping experiences. As retail undergoes digital transformation, this solution helps traditional retailers overcome challenges like consumers searching for the best prices across various channels, making it easier for retailers to adapt to the evolving market landscape.

In November 2022, Fractal, a global provider of AI and advanced analytics solutions, launched Asper.ai, an interconnected AI solution for the consumer goods, manufacturing, and retail sectors. Asper.ai aims to streamline the fragmented AI ecosystem in these industries by providing an end-to-end AI product that integrates demand planning, inventory optimization, and strategic pricing and promotions.

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Market Segments

The detailed segmentation offered in the report will help customers get a clear idea about the market segments and the factors that will drive segmental growth. The Artificial Intelligence In Retail market has been segmented

By Offerings: Services, Solutions.

By Function: Operation-Focused, Customer-Facing.

By By Deployment Type: Cloud, On-Premise.

By Application: Predictive Analytics, Predictive Analytics.

By Technology: Computer Vision, Machine Learning, Natural Language Processing.

Research Process

Both primary and secondary data sources have been used in the global Artificial Intelligence In Retail Market research report. During the research process, a wide range of industry-affecting factors are examined, including governmental regulations, market conditions, competitive levels, historical data, market situation, technological advancements, upcoming developments, in related businesses, as well as market volatility, prospects, potential barriers, and challenges.

Regional Analysis for Artificial Intelligence In Retail Market:

⇥ North America (U.S., Canada, Mexico)

⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)

⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)

⇥ South America (Colombia, Brazil, Argentina, Rest of South America)

⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

**The full version of the report includes an in-depth analysis of emerging players and startups, which will provide valuable insights into the evolving market landscape and key strategies being adopted**

This Report Covers:

✔ Go-to-market Strategy.

✔ Neutral perspective on the market performance.

✔Development trends, competitive landscape analysis, supply side analysis, demand side analysis, year-on-year growth, competitive benchmarking, vendor identification, and other significant analysis, as well as development status.

✔Customized regional/country reports as per request and country level analysis.

✔ Potential & niche segments and regions exhibiting promising growth covered.

✔ Analysis of Market Size (historical and forecast), Total Addressable Market (TAM), Serviceable Available Market (SAM), Serviceable Obtainable Market (SOM), Market Growth, Technological Trends, Market Share, Market Dynamics, Competitive Landscape and Major Players (Innovators, Start-ups, Laggard, and Pioneer).

Chapter Outline

⏩ Market Overview: It contains five chapters, as well as information about the research scope, major manufacturers covered, market segments, Artificial Intelligence In Retail market segments, study objectives, and years considered.

⏩ Market Landscape: The competition in the Global Artificial Intelligence In Retail Market is evaluated here in terms of value, turnover, revenues, and market share by organization, as well as market rate, competitive landscape, and recent developments, transaction, growth, sale, and market shares of top companies.

⏩ Companies Profiles: The global Artificial Intelligence In Retail market's leading players are studied based on sales, main products, gross profit margin, revenue, price, and growth production.

⏩ Market Outlook by Region: The report goes through gross margin, sales, income, supply, market share, CAGR, and market size by region in this segment. North America, Europe, Asia Pacific, Middle East & Africa, and South America are among the regions and countries studied in depth in this study.

⏩ Market Segments: It contains the deep research study which interprets how different end-user/application/type segments contribute to the Artificial Intelligence In Retail Market.

⏩ Market Forecast: Production Side: In this part of the report, the authors have focused on production and production value forecast, key producers forecast, and production and production value forecast by type.

⏩ Research Findings: This section of the report showcases the findings and analysis of the report.

⏩ Conclusion: This portion of the report is the last section of the report where the conclusion of the research study is provided.

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Frequently asked questions:

➠ What is the global sales value, production value, consumption value, import and export of Artificial Intelligence In Retail market?

➠ Who are the global key manufacturers of the Artificial Intelligence In Retail Industry? How is their operating situation (capacity, production, sales, price, cost, gross, and revenue)?

➠ What are the Artificial Intelligence In Retail market opportunities and threats faced by the vendors in the global Artificial Intelligence In Retail Industry?

➠ Which application/end-user or product type may seek incremental growth prospects? What is the market share of each type and application?

➠ What focused approach and constraints are holding the Artificial Intelligence In Retail market?

➠ What are the different sales, marketing, and distribution channels in the global industry?

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