Global Retail Analytics Market 2017-2022

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Description

Retail analytics include analytical modeling on various processes in the retail industry, such as supply chain management, merchandise intelligence, inventory management, cybersecurity, supply & demand processing, customer engagement, sales data modeling, and many others. It helps in the decision-making process of retailers by providing customer insights and scope of product marketing.

In recent years, many retail stores from domestic and international markets have adopted retail analytics solutions to augment their market reach and enhance their promotional strategies. Some of the outcomes of retail analytics solution include enhanced profitability, increased rate of return on minimum investment, optimized customer relationship and loyalty, behavioural modeling, preference analysis, competitive advantage, and many others.

Real-time data gathered through customer mapping can be analyzed and distributed through retail analytics. It allows marketers in creating opportunities, such as business expansion, optimize customer services, and improve operational capacities. Predictive models based on customer intelligence and analysis helps to adopt a right promotional strategy by the retailers. Some of the key factors driving the global retail analytics market is increasing in ICT spending in the developed and the developing countries and cost-effective cloud deployment model. In addition, the upsurge in smartphone adoption and infrastructure development has increased the number of retailers in the emerging regions, such as Asia-Pacific and Latin America, which in turn is anticipated to fuel the market growth in the coming years.

The report titled Global Retail Analytics Market features an in-depth analysis of the overall retail analytics market in terms of market size, segmentation, end-users, geographies, competition, market metrics and service provider analysis.

The report includes a detailed analysis of the developed and emerging markets globally, service providers analysis along with market across each segment of component, business functions, deployment model, application, organization size.

Objective of the Research

To understand the Retail Analytics Market on a global scale by addressing the challenges faced by the industry with regards to adoption of analytics in retail. To estimate the present size of the Retail Analytics market and to forecast its future values and realize how drivers, constraints, opportunities and challenges would impact various business functions

Scope of the Research

•  Current market size for 2016 and forecast till 2022

•  Strategic analysis and market focus

•  Competitive landscape analysis

•  Latest market and technology trends

•  Market developments covering M&A, Investment, funding, etc

•   Competitor analysis and profiling

Forecasting Method

•  Understand the market mechanism for the market through structured, systematic and detailed established norms

•  Market estimation through time-series forecasting and other techniques. Use of R and other programming languages to validate the forecast data

•  Using expert-opinion from CXO level executives of leading players to revalidate the estimates.

•  Rigorous quality check before final publication

Regions Covered

•  North America (US, Canada, Mexico and others)

•  South America (Brazil, Argentina and others)

•  Europe (UK, Germany, Spain, Russia and others)

•  Asia-Pacific (Australia, India, China, Japan, and others)

•  ROW (Middle-East and Africa)

How the report helps:

•  Understand the retail analytics market for 2016 and hence forecast the same till 2022

•  Determine the market across different segments such as component (software and service), business functions (supply chain, sales, marketing, finance and store 0perations), applications (merchandising analysis, pricing analysis, yield analysis, performance analysis, customer management), and geographies (North America, South America, Europe, Asia Pacific, Middle-East & Africa) till 2022

• Perform a service provider analysis for retail analytics vendors

Additional information

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Corporate License, Single User License, Team License

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