Global Artificial Intelligence in Retail Market Reports give a Key study on the industry status of the Artificial Intelligence in Retail Industry Manufacturer with the specific statistics, meaning, definition, SWOT Analysis, expert opinion, and recent development across the globe. The research report also covers the Market Size, Price, Sales, Revenue, Market share, Gross Margin, growth rate, and cost structure. The report aims to give an additional sample of the latest scenario, economic slowdown, and Covid-19 impact on overall Industry.
The Global Artificial Intelligence (AI) In Retail Market Size Accounted For USD 8.41 Billion In 2022 And It Is Projected To Attain Around USD 45.74 Billion By 2030, Poised To Grow At A CAGR Of 18.45% During The Forecast Period 2023 To 2030.
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The growth is being driven by things like the increasing number of people who use the internet, smart devices, the need for surveillance and monitoring at a physical store, and government policies that promote digitization. AI in retail is based on how businesses have been run for the past few decades. AI and analytics for big data are important parts of modern business. They can change everything, from how a business works to how a customer feels about it.
AI and big data analytics are being used more and more in the retail business because technology is getting better, there are more apps and smart devices, more people are using cloud services, and the Internet of Things (IoT) is becoming more popular. For example, in February 2020, Baker Hughes, an oil field services business, joined forces with C3.ai and announced the release of an AI-based app called BH3 Production optimization. This app lets operators see production data in real time, improve operations, and make better predictions about future production to increase the rate of gas and oil output.
Competitive Landscape and Global Market Share Analysis:
IBM Corporation, Microsoft, SAP SE, Amazon Web Services, Oracle, Salesforce Inc., Intel, NVIDIA, Google LLC, Sentient Technology, ViSenze, Others
Market Segmentation:
By Offering
- Solution
- Service
By Function
- Operations-Focused
- Customer-Facing
- Other
By Type
- Offline
- Online
- Other
By Application
- Predictive Analytics
- In-Store Visual Monitoring and Surveillance
- Customer Relationship Management (CRM)
- Market Forecasting
- Inventory Management
- Others
By Technology
- Computer Vision
- Machine Learning
- Natural Language Processing
- Other
The report on the Artificial Intelligence in Retail market covers the following region (country) analysis:
- North America (U.S., Canada)
- Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
- Asia-Pacific (China, India, Japan, Australia, Southeast Asia, Rest of Asia Pacific)
- South America (Mexico, Brazil, Argentina, Columbia, Rest of South America)
- Middle East & Africa (GCC, Egypt, Nigeria, South Africa, Rest of Middle East and Africa)
Regional Insights:
With 38.5% of the income in 2021, North America had the most. Given how much money is being spent on AI projects and related research and development, there is a lot of room for the business to grow. Regional retailers are also focusing on getting as much information as they can about their customers’ tastes so they can provide better customer service.
Google Inc., Microsoft, IBM Corp., Salesforce, and Amazon Web Services are among the market players who use both organic and inorganic methods. For example, in January 2021, Google Cloud launched Product Discovery Solutions for retail to make online shopping more personalized.
Asia Pacific is expected to have the highest CAGR, at 31.6%, from 2022 to 2030. The growth of the area is due to the improvement of technology in places like China, Japan, and India. The main things that are making the Asia-Pacific AI in retail market grow are how quickly smart devices are being used and how much 5G technology is being used in the retail business.
Following are the major TOC of the Artificial Intelligence in Retail Market:
Chapter 1: Artificial Intelligence in Retail Market Overview
Chapter 2: Global Economic Impact on Industry
Chapter 3: Global Artificial Intelligence in Retail Market Competition by Manufacturers
Chapter 4: Global Production, Profits (Value) by Region
Chapter 5: Global Supply (Production), Import, Export, Consumption, by Regions
Chapter 6: Global Price Trend by Type, Revenue (Value), Production
Chapter 7: Manufacturing Cost Analysis
Chapter 8: Global Market Analysis by Application
Chapter 9: Industrial Chain and Downstream Buyers, Sourcing Strategy
Chapter 10: Marketing Strategy Analysis, Distributors/Traders
Chapter 11: Market Effect Factors Analysis
Chapter 12: Global Artificial Intelligence in Retail Market Forecast
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Key Reasons to Purchase Artificial Intelligence in Retail Market report:
The report provides a thorough examination of the manufacturing methods, as well as ideas to reduce development risk, major market growth challenges and strategic inputs to overcome the market threats.
In-depth market analysis and an overview of the global Artificial Intelligence in Retail Market trend and commercial landscape are included in the report. In addition, the report discusses the effect of COVID-19 on the market.
Reader can acquire a better interpretation of the Artificial Intelligence in Retail Market forecast’s future view and opportunities from the report.
The report contains an analysis of recent developments as well as profiles of important market leaders and key players.
To gain an understanding of the market strategies by the leading market players in the Artificial Intelligence in Retail
The report analyses the most important driving and restraining factors in the industry, as well as their impact on global market growth.
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