Qyresearchreports include new market research report "Global Artificial Intelligence in Retail Market Research Report 2017" to its huge collection of research reports. This fresh business and commerce study on the global Artificial Intelligence in Retail market has been developed by a group of professional and experienced research analysts and aspires to serve as a reliable decision-making document for the stockholders connected to the value chain. The primary objective of the report is to minutely define the current scenario and forecast the future of the global Artificial Intelligence in Retail market in terms various aspects, provide detailed information regarding key factors influencing the market growth such as trends, drivers, restraints, opportunities, and challenges, track and analyze the market scenario on the basis of technological developments, product launches, and mergers & acquisitions, and forecast the market size of segments with respect to every important region and country. This research study involves extensive usage of secondary sources, directories, and databases (such as D&B Hoovers, Factiva, Bloomberg, and Businessweek) to identify and collect information useful for this technical, market-oriented, and commercial aspect of the global Artificial Intelligence in Retail market size. The research methodology used to estimate and forecast the Artificial Intelligence in Retail market begins with capturing data on key vendor revenues through secondary research.
The ' Machine Learning in Retail market' study added by Market Study Report, LLC, enumerates an in-depth analysis of the powerful trends prevailing in the industry. This study also encompasses valuable information relating to the profitability prospects, growth dynamics, market size, market share forecast, and revenue estimation of this business vertical. The study descriptively charts out the competitive backdrop of eminent players partaking in the industry share, in consort with their offering portfolio & business strategies. The report offers an all-embracing analysis of the Machine Learning in Retail market with respect to several pivotal factors. A concise summary of the business, as well as the market size, growth prospects, and an in-depth scrutiny of the application terrain is covered in the research report.
Endorsed with a portfolio of digitally-empowered consumers, artificial intelligence in the retail market is acclaimed as one of the fastest growing verticals presently . In 2017, this business space registered a global share of USD 650 million and is forecast to record a CAGR of 40% over 2018 - 2024. With the retail space becoming affluent with more number of e-commerce platforms as well as startups with large technology appetite, the adoption of AI in the retail market is bound to increase. Additionally, the technology is witnessing a slew of opportunities in sync with the hi-tech trends including the likes of blockchain, AR, and the Internet of Things establishing their footprints in the retail domain. Amidst all these tech interventions, the focal point of this consumer-driven industry is to deliver an unrivaled shopping experience to customers as well as ensuring optimal management of resources and stocks.
Despite Apple CEO Tim Cook's recent visit to India, the company continues to have trouble with its expansion plans in the country. The Indian government has said that Apple will not be allowed to open retail stores, unless it agrees to its rule of selling at least some locally-sourced products in India. SEE ALSO: Apple's best hope in India is to sell refurbished iPhones, and it's not looking good According to Indian law, all foreign single-brand retailers have to sell 30% of goods that have been sourced locally in order to open stores in India. However, the government can make some exemptions for "state-of-the-art" companies with "cutting-edge technology" that can't be sourced locally. Initial reports had suggested that the Indian government would waive off the 30% sourcing norm for Apple under this category, but it has failed to be considered as the exception.