Retail analytics is the process of providing analytical data for supply chain management, merchandise intelligence, inventory management, cyber security, supply & demand processing, customer engagement, sales data modelling, and others. It helps in the process of decision-making, as it provides customer insights and scope for product marketing.
Increasing adoption of new technologies is one of the major factors driving growth of the market
Rising adoption of new technologies such as big data, internet of things (IoT), and real-time analytics by various organizations to enhance business outcomes is driving growth of the retail analytics market. According to Coherent Market Insights’ analysis, around 70% of the retail industries are expected to adopt IoT by 2021. Retail analytics collects data from big data, machine learning, and artificial intelligence and business process, thereby delivering accurate information to solve business issues. Retail analytics provides customer insights from the real data, which helps the retailers to understand customer behavior and develop a customer centric product. This helps the organization to strengthen its foothold in the market, thereby fueling growth of the retail analytics market.
Rising number of unstructured data is a major factor driving growth of retail analytics market.
Rising number of unstructured data is driving growth of the retail analytics market, owing to the increasing number of organizations and rising demand for structured data. For instance, according to the International Data Group, unstructured data is growing at the rate of around 62 percent per year and around 93 percent of all data is expected to be unstructured by 2022. Unstructured data helps in understanding the market trend, customer demand, product description, and others. The rapid growth of unstructured data volume generated by various organizations have raised the trend of analytical tools, which helps in extracting insights from real data, thereby driving growth of the retail analytics market.
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