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Artificial Intelligence in Retail Market Recent Research Report: Demand, Competition from Opponents, Opportunities, Dynamics, Challenge and Risk and Forecast to 2023
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The global Artificial Intelligence in retail market size is expected to grow from USD 993.6 million in 2017 to USD 5,034.0 million by 2022, at a Compound Annual Growth Rate (CAGR) of +37% during the forecast period.
The Top Key Players:
IBM (US), Microsoft (US), Amazon Web Services (US), Oracle (US), SAP (Germany), Intel (US), NVIDIA (US), Google (US), Sentient technologies (US), Salesforce (US), and ViSenze (Singapore). Other stakeholders of the AI in retail market include vendors, research organizations, network and system integrators, AI in retail managed service providers, Business Intelligence (BI) solution providers, marketing analytics executives, third-party providers, and technology providers.
Increasing necessity for superior surveillance and monitoring at a physical store, growing awareness and application of AI in the retail industry, enhanced user-experience, improved productivity, Return on Investment, mainlining inventory accuracy, and supply chain optimization are some of the key factors fueling the growth of this market.
The major factor driving the demand for artificial intelligence in retail market sector has been the rapid emergence of e-commerce worldwide. This has been encouraging the companies to offer enhanced customer experience. Retailers are reaching out to their customers at personal level, while engaging with them through deeper interactions and enhancing their brand value. Personalized online shopping, demand for greater digital customer experience, optimization of the supply chain, and improvement in inventory management are some of the factors driving the global artificial intelligence market in retail.
North America is expected to hold the largest market share and dominate the Artificial Intelligence in Retail market during the forecast period. The regional analysis has been done to precisely formulate data of the geographical sectors such as Japan, China, North America, Europe, Southeast Asia, and India to understand super markets and hyper markets, on-trade, independent retailers, and convenience stores. The report also provides a segmented analysis of production rates further segregated under volume and value, along with the sale pricings.
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Table of Content:
Artificial Intelligence in Retail Market Research Report 2018-2023
Chapter 1: Artificial Intelligence in Retail Market Overview
Chapter 2: Global Economic Impact on Industry
Chapter 3: Market Competition by Manufacturers
Chapter 4: Production, Revenue (Value) by Region
Chapter 5: Supply (Production), Consumption, Export, Import by Regions
Chapter 6: Production, Revenue (Value), Price Trend by Type
Chapter 7: Artificial Intelligence in Retail Market Analysis by Application
Chapter 8: Manufacturing Cost Analysis
Chapter 9: Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10: Marketing Strategy Analysis, Distributors/Traders
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