Press release
Artificial Intelligence in Retail Market Increasing Demand with Leading Player, Comprehensive Analysis, Forecast 2030
Global Artificial Intelligence in Retail Market 2023-2030, report discovers comprehensive insights on key manufacturers with share information, market size and projection, key dynamics, growth factors, and new company profiles. The report provides detailed information about the market overview, prevalent trends, demand, and recent developments impacting the market growth in the coming years. Artificial Intelligence in Retail Market opportunities analysis, strategic growth analysis, product launches, marketplace expanding, and technological innovations are also highlighted. The report uncovers Artificial Intelligence in Retail market size, potential growth, trends and expansion strategies followed by top prominent players.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.
๐๐ฒ๐ ๐ฎ ๐ฆ๐ฎ๐บ๐ฝ๐น๐ฒ ๐ฃ๐๐ ๐๐ผ๐ฝ๐ ๐ผ๐ณ ๐๐ฎ๐๐ฒ๐๐ ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต ๐ผ๐ป ๐ง๐ต๐ถ๐ ๐ฅ๐ฒ๐ฝ๐ผ๐ฟ๐ 2023 ๐๐ฒ๐ณ๐ผ๐ฟ๐ฒ ๐ฃ๐๐ฟ๐ฐ๐ต๐ฎ๐๐ฒ:
https://www.contrivedatuminsights.com/request-sample/248369
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.
๐ฆ๐ผ๐บ๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ธ๐ฒ๐ ๐ฝ๐น๐ฎ๐๐ฒ๐ฟ๐ ๐ฝ๐ฟ๐ผ๐ณ๐ถ๐น๐ฒ๐ฑ ๐ถ๐ป ๐๐ต๐ฒ ๐๐๐๐ฑ๐ ๐ฎ๐ฟ๐ฒ
IBM Corporation, Microsoft, SAP SE, Amazon Web Services, Oracle, Salesforce Inc., Intel, NVIDIA, Google LLC, Sentient Technology, ViSenze, and Others.
๐ ๐ฎ๐ฟ๐ธ๐ฒ๐ ๐ฆ๐ฒ๐ด๐บ๐ฒ๐ป๐๐ฎ๐๐ถ๐ผ๐ป:
By Offering
โข Solution
โข Service
By Function
โข Operations-Focused
โข Customer-Facing
โข Other
By Type
โข Offline
โข Online
โข Other
By Application
โข Predictive Analytics
โข In-Store Visual Monitoring and Surveillance
โข Customer Relationship Management (CRM)
โข Market Forecasting
โข Inventory Management
โข Others
By Technology
โข Computer Vision
โข Machine Learning
โข Natural Language Processing
โข Other
๐๐ฒ๐ผ๐ด๐ฟ๐ฎ๐ฝ๐ต๐ถ๐ฐ๐ฎ๐น๐น๐, ๐๐ต๐ฒ ๐ฑ๐ฒ๐๐ฎ๐ถ๐น๐ฒ๐ฑ ๐ฎ๐ป๐ฎ๐น๐๐๐ถ๐ ๐ผ๐ณ ๐ฐ๐ผ๐ป๐๐๐บ๐ฝ๐๐ถ๐ผ๐ป, ๐ฟ๐ฒ๐๐ฒ๐ป๐๐ฒ, ๐บ๐ฎ๐ฟ๐ธ๐ฒ๐ ๐๐ต๐ฎ๐ฟ๐ฒ ๐ฎ๐ป๐ฑ ๐ด๐ฟ๐ผ๐๐๐ต ๐ฟ๐ฎ๐๐ฒ, ๐ต๐ถ๐๐๐ผ๐ฟ๐ถ๐ฐ ๐ฎ๐ป๐ฑ ๐ณ๐ผ๐ฟ๐ฒ๐ฐ๐ฎ๐๐๐ (2023-2030) ๐ผ๐ณ ๐๐ต๐ฒ ๐ณ๐ผ๐น๐น๐ผ๐๐ถ๐ป๐ด ๐ฟ๐ฒ๐ด๐ถ๐ผ๐ป๐ ๐ฎ๐ฟ๐ฒ ๐ฐ๐ผ๐๐ฒ๐ฟ๐ฒ๐ฑ:
โข North America (U.S., Canada)
โข Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
โข Asia-Pacific (China, India, Japan, Australia, Southeast Asia, Rest of Asia Pacific)
โข South America (Mexico, Brazil, Argentina, Columbia, Rest of South America)
โข Middle East & Africa (GCC, Egypt, Nigeria, South Africa, Rest of Middle East and Africa)
๐ฅ๐ฒ๐ด๐ถ๐ผ๐ป๐ฎ๐น ๐๐ป๐๐ถ๐ด๐ต๐๐:
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.
๐ง๐ผ ๐๐ฒ๐ ๐๐ผ๐บ๐ฝ๐น๐ฒ๐๐ฒ ๐๐ฐ๐ฐ๐ฒ๐๐ ๐ข๐ณ ๐ง๐ต๐ฒ ๐ฅ๐ฒ๐ฝ๐ผ๐ฟ๐ ๐๐น๐ถ๐ฐ๐ธ ๐๐ฒ๐ฟ๐ฒ:
https://www.contrivedatuminsights.com/buy/248369
๐ง๐ฎ๐ฏ๐น๐ฒ ๐ผ๐ณ ๐๐ผ๐ป๐๐ฒ๐ป๐:
1. Executive Summary
2. Research Methodology
3. Market Outlook
4. Covid-19 Impact On Artificial Intelligence in Retail Market
5. Artificial Intelligence in Retail Market Overview, By Segmentation, 2017 - 2030 (USD Million)
6. Artificial Intelligence in Retail Market Overview, By Geography, 2017 - 2030 (USD Million)
7. North America Artificial Intelligence in Retail Market Overview, By Countries, 2017 - 2030 (USD Million)
8. Europe Artificial Intelligence in Retail Market Overview, By Countries, 2017 - 2030 (USD Million)
9. Asia Pacific Artificial Intelligence in Retail Market Overview, By Countries, 2017 - 2030 (USD Million)
10. Middle East & Africa Artificial Intelligence in Retail Market Overview, By Countries, 2017 - 2030 (USD Million)
11. South America Artificial Intelligence in Retail Market Overview, By Countries, 2017 - 2030 (USD Million)
12. Competitive Landscape
13. Key Vendor Analysis
14. Artificial Intelligence in Retail Market Cost Analysis
15. Industrial Chain, Sourcing Strategy and Downstream Buyers
16. Marketing Strategy Analysis, Distributors/Traders
17. Market Effect Factors Analysis
18. Future Outlook of the Market
๐ฅ๐ฒ๐ฎ๐ฑ ๐๐ฒ๐๐ฎ๐ถ๐น๐ฒ๐ฑ ๐๐ป๐ฑ๐ฒ๐ ๐ผ๐ณ ๐ณ๐๐น๐น ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต ๐ฆ๐๐๐ฑ๐ ๐ฎ๐
https://www.contrivedatuminsights.com/product-report/artificial-intelligence-in-retail-market-248369
๐ช๐ต๐ ๐ฌ๐ผ๐ ๐ฆ๐ต๐ผ๐๐น๐ฑ ๐๐๐ ๐ง๐ต๐ถ๐ ๐ฅ๐ฒ๐ฝ๐ผ๐ฟ๐:
1. The forecast for the established and growing markets for global Artificial Intelligence in Retail Market.
2. Use Porter's Five Forces analysis to analyze various market perspectives.
3. The market segment that is anticipated to dominate the Artificial Intelligence in Retail industry worldwide.
4. Geographical areas that are anticipated to experience the quickest growth over the projection period.
5. Identify the most recent innovations, market shares for global Artificial Intelligence in Retail and marketing techniques used by the leading industry competitors.
๐ฅ๐ฒ๐น๐ฎ๐๐ฒ๐ฑ ๐ฆ๐ผ๐๐ฟ๐ฐ๐ฒ:
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๐๐ผ๐ป๐๐ฎ๐ฐ๐ ๐จ๐:
Anna B. | Head Of Sales
Contrive Datum Insights
Phone: +91 9834816757 | +1 2152974078
Email: anna@contrivedatuminsights.com
๐๐ฏ๐ผ๐๐ ๐จ๐:
Contrive Datum Insights (CDI) is a global delivery partner of market intelligence and consulting services to officials at various sectors such as investment, information technology, telecommunication, consumer technology, and manufacturing markets. CDI assists investment communities, business executives, and IT professionals to undertake statistics-based accurate decisions on technology purchases and advance strong growth tactics to sustain market competitiveness. Comprising of a team size of more than 100 analysts and cumulative market experience of more than 200 years, Contrive Datum Insights guarantees the delivery of industry knowledge combined with global and country-level expertise.
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