Artificial Intelligence in Retail Market is Booming Worldwide | IBM, Amazon Web Services, SAP SE
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Artificial Intelligence in Retail is basically use of smart computing power enabled machines and robots in retail which enhances efficiency and productivity, which indirectly help in increase profit margins. The use of artificial intelligence involves use of tools such as Machine learning, big data analytics, etc. along with complex algorithms which are made to aid humans or even work without human supervision. The use of artificial intelligence also enhances customer experience with voice search, virtual trial rooms and cash free counters like mechanisms. Application of A.I. in logistics and transport along with warehouse management would also increase pace of delivery and reduce the wastage which naturally occurs due to human aid. The Market of Artificial Intelligence is currently dominated by North America with Major Players too coming from North America. Though because the industry is still in its early age, it has lot of developments to carry out.
Keep yourself up-to-date with latest market trends and changing dynamics due to COVID Impact and Economic Slowdown globally. Maintain a competitive edge by sizing up with available business opportunity in Artificial Intelligence in Retail Market various segments and emerging territory.
Influencing Market Trend
• Cashless Counters are Gaining Popularity
• Use of Artificial Intelligence Powered Robots in Retail
• Increased Efficiency and Productivity
• Reduction in Loss due to Better Prediction Mechanism
• Countries with Low Working Group Populations such as Japan or South Korea Present Excellent Opportunities
• Increasing Adoption in Less Developed Countries with Increased Democratization of Technology
• Uncertainties or Doubts about Artificial Intelligence among Many Retail Stakeholders
• Difficulty in Adopting with New Technology for Traditional Retail Workers
Analysis by Application (Supply Chain and Logistics, Chatbots, Data Analytics, Customer Relationship Management, Price Adjustments and Predictions, Others), Deployment Mode (Cloud-Based, On-Premise), Algorithm Types (Supervised, Unsupervised), Offerings (Software, Services)
Competitive landscape highlighting important parameters that players are gaining along with the Market Development/evolution
• % Market Share, Segment Revenue, Swot Analysis for each profiled company [IBM (United States) , Amazon Web Services (United States), SAP SE (Germany), Oracle (United States), Google (United States), Intel (United States), Apple Inc. (United States), Salesforce (United States), People.Ai (United States),]
• Business overview and Product/Service classification
• Product/Service Matrix [Players by Product/Service comparative analysis]
• Recent Developments (Technology advancement, Product Launch or Expansion plan, Manufacturing and R&D etc)
• Consumption, Capacity & Production by Players
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The regional analysis of Global Artificial Intelligence in Retail Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading region across the world. Whereas, owing to rising no. of research activities in countries such as China, India, and Japan, Asia Pacific region is also expected to exhibit higher growth rate the forecast period 2023-2028.
In 2020, Apple Inc., American Multinational Tech Giant announced the acquisition of Xnor.ai. XNOR is a leading innovator in the Artificial Intelligence space developing artificial intelligence algorithms, with the application of machine learning and image recognition tools. The company is especially known for its AI algorithms quick response time. The acquisition will help Apple enhance its focus on edge computing which strengthens Appleâ€™s privacy-first principles and also speeds up processing.
Table of Content
Chapter One: Industry Overview
Chapter Two: Major Segmentation (Classification, Application and etc.) Analysis
Chapter Three: Production Market Analysis
Chapter Four: Sales Market Analysis
Chapter Five: Consumption Market Analysis
Chapter Six: Production, Sales and Consumption Market Comparison Analysis
Chapter Seven: Major Manufacturers Production and Sales Market Comparison Analysis
Chapter Eight: Competition Analysis by Players
Chapter Nine: Marketing Channel Analysis
Chapter Ten: New Project Investment Feasibility Analysis
Chapter Eleven: Manufacturing Cost Analysis
Chapter Twelve: Industrial Chain, Sourcing Strategy and Downstream Buyers
Read Executive Summary and Detailed Index of full Research Study @ https://www.advancemarketanalytics.com/reports/12455-global-artificial-intelligence-in-retail-market-1?utm_source=OpenPR/utm_medium=Rahul
Highlights of the Report
• The future prospects of the global Artificial Intelligence in Retail market during the forecast period 2023-2028 are given in the report.
• The major developmental strategies integrated by the leading players to sustain a competitive market position in the market are included in the report.
• The emerging technologies that are driving the growth of the market are highlighted in the report.
• The market value of the segments that are leading the market and the sub-segments are mentioned in the report.
• The report studies the leading manufacturers and other players entering the global Artificial Intelligence in Retail market.
Craig Francis (PR & Marketing Manager)
AMA Research & Media LLP
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Advance Market Analytics is Global leaders of Market Research Industry provides the quantified B2B research to Fortune 500 companies on high growth emerging opportunities which will impact more than 80% of worldwide companies' revenues.
Our Analyst is tracking high growth study with detailed statistical and in-depth analysis of market trends & dynamics that provide a complete overview of the industry. We follow an extensive research methodology coupled with critical insights related industry factors and market forces to generate the best value for our clients. We Provides reliable primary and secondary data sources, our analysts and consultants derive informative and usable data suited for our clients business needs. The research study enables clients to meet varied market objectives a from global footprint expansion to supply chain optimization and from competitor profiling to M&As.
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