Artificial Intelligence In Retail Market
The Global Artificial Intelligence In Retail Market reached US$ 5.5 billion in 2023 and is expected to reach US$ 55.4 billion by 2031, growing with a CAGR of 34.2% during the forecast period 2024-2031.
Artificial Intelligence In Retail Market analysis, according to DataM Intelligence, offers more than just an overview, it investigates the underlying aspects of the sector. The study provides an overview, the research explores the hidden aspects of the sector, breaking down its intricate dynamics, charting regional dominance, spotting demand patterns, and spotting prospective breakthroughs that could influence how businesses operate in the future.
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The Artificial Intelligence In Retail market report majorly focuses on market trends, historical growth rates, technologies, and the changing investment structure. Additionally, the report shows the latest market insights, increasing growth opportunities, business strategies, and growth plans adopted by major players. Moreover, it contains an analysis of current market dynamics, future developments, and Porter’s Five Forces Analysis.
Artificial Intelligence (AI) in retail refers to the application of machine learning, computer vision, and data analytics to enhance customer experience and streamline business operations. AI tools are used for personalized recommendations, demand forecasting, inventory management, and automating customer service via chatbots. Retailers also leverage AI for fraud detection and optimizing pricing strategies. This technology enables businesses to remain competitive and adapt to consumer behavior changes in real time.
Forecast Growth Projected:
The Global Artificial Intelligence In Retail Market is anticipated to rise at a considerable rate during the forecast period, between 2024 and 2031. In 2023, the market is growing at a steady rate, and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.
List of the Key Players in the Artificial Intelligence In Retail Market:
Amazon.com, Inc., IBM Corporation, Intel Corporation, Google LLC, Salesforce.com, Inc., SAP SE, Talkdesk, Inc., Microsoft Corporation, Nvidia Corporation and Oracle Corporation.
Segment Covered in the Artificial Intelligence In Retail Market:
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.
Industry Development:
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.
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Regional Break out:
The global Artificial Intelligence In Retail Market report focuses on six major regions: North America, South America, Europe, Asia Pacific, the Middle East, and Africa.
☞ North America – US, Canada, Mexico
☞ Europe- Germany, Russia, UK, France, Italy, Rest of Europe
☞ Asia Pacific- China, India, Japan, Australia, Rest of Asia Pacific
☞ South America- Brazil, Argentina, Colombia, Rest of South America
☞ Middle East and Africa- Saudi Arabia, UAE, Oman, Bahrain, Qatar, Kuwait, Israel
Chapter Outline:
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: key insights, key emerging trends, etc.
Chapter 3: Manufacturers competitive analysis, detailed analysis of Artificial Intelligence In Retail manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 5 & 6: Revenue of Artificial Intelligence In Retail in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 7: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 8: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 9: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 10: The main points and conclusions of the report.
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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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