AI In Retail Market: Global Industry Analysis and Top Key Players - Amazon Web Services, Baidu Inc., BloomReach, Google, IBM Corporation, Intel Corporation, Microsoft, Next Ltd, Nvidia Corporation, Oracle, Salesforce, SAP SE, Interactions LLC, RetailNext

The overall AI in retail market share is anticipated to surpass USD 8 billion by 2024, with untapped economies gaining major traction in terms of investment. Analyzing the aforementioned trends and the penetration of AI in retail industry, it is overt that the traditional retail model is bound to witness a disruption of sorts. The technology penetration will reshape the entire inventory management and operation cycle of the retail stores, thus providing a renewed shopping experience to the customers.

In an era dominated by tech advancements, AI in retail market is expected to emerge as a viable investment ground, given the pace at which AI is being incorporated in industry verticals. Amidst this backdrop, traditional retail chains have been modifying their approach, especially after 2017 witnessed the application for bankruptcy by 21 retail chains inclusive of biggies such as Toys R' Us, Aerosoles and RadioShack. Many others like Sears and Macy's had decided to close down hundreds of stores in the U.S., creating waves of panic in the global retail sector and igniting the spark of technology adoption - shocking moves that have triggered a change in artificial intelligence (AI) in retail industry trends.

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Further elaborating on the geographical trends, North America having procured more than 50% of the global share in 2017, has been leading the regional landscape of AI in retail market. U.S. has a major credit in the phenomenal regional trends with over 65% of investments (including M&As, private equity, and venture capital) in artificial intelligence technology. Add to it, the region is a major hub for startups in tandem with the presence of tech titans such as Google, IBM, and Microsoft.

Prominent vendors present in the AI in retail market are Amazon Web Services, Baidu Inc., BloomReach Inc., CognitiveScale Inc., GoogleInc., IBM Corporation, Inbenta Technologies, IntelCorporation, Interactions LLC, Lexalytics Inc., MicrosoftCorporation, NEXT IT Corp., NvidiaCorporation, OracleCorporation, RetailNext Inc., Salesforce.com Inc., SAPSE, Sentient Technologies, Visenze.

A detailed evaluation of the technology landscape and the parameters it elaborates on:

o The AI in retail market, as per the report study, has been categorized into the segments Machine Learning & Deep Learning, Natural Language Processing, Computer Vision.
o The research document provides a detailed understanding of the technology landscape pertaining to its evaluation.
o The market share estimated to be held by each of these sub segments currently and by the end of the forecast period is provided in the study.
o The remuneration that the technology segments will be pegged at by the end of the projected timeframe is also mentioned in the study.
o The numerous trends characterizing the performance of the technology spectrum have been elaborated on, in the study.

A detailed evaluation of the application landscape and the parameters it elaborates on:

o The AI in retail market, as per the study, has been segregated into the segments Automated Merchandising, Programmatic Advertising, Market Forecasting, In Store AI & Location Optimization, Data Science.
o The research study delivers an in-depth understanding of the application landscape pertaining to its evaluation.
o The market share projected to be held by each of these sub segments currently and by the end of the estimated period is provided in the study.
o The valuation that the application segments will be pegged at by the end of the forecast timeframe is also mentioned in the study.
o The ongoing and future trends defining the growth graph of the application landscape have been discussed in the study.

A detailed evaluation of the component landscape and the parameters it elaborates on:

o The AI in retail market, as per the report, has been split into the segments component.1, Solution and Service.
o The research report provides a detailed understanding of the component terrain subject to its evaluation.
o The market share that each of the segments hold presently alongside the market share that they are projected to account for by the end of the forecast period is provided in the study.
o The remuneration that the component segments will be worth by the end of the forecast timeframe is also mentioned in the study.
o The numerous trends defining the performance of the component spectrum have been elaborated on, in the report.

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