Retail Analytics Market Competitive Intelligence and Tracking Report Till 2026

Retail Analytics Market Competitive Intelligence and
Tracking Report Till 2026
Retail Analytics Market research provides industry analysis by
type, manufacturer, application along with key factors influencing
the growth of the market which include growth drivers, restraints,
opportunities and challenges, strategically profile key players and
comprehensively
analyze
their
market
share
and
core
competencies.
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 decisionmaking, as it provides customer insights and scope for product marketing.
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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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High cost of analytical tools is one of the major factors hampering growth of the
market
The high cost of analytical tools is one of the major factors restraining growth of the market.
Moreover, lack of unskilled workforce is also expected to hamper growth of the market over the
forecast period.
Global Retail Analytics Market: Regional Insights
North America is expected to hold a dominant position in the market over the forecasted period,
owing to rising e-commerce sector. For instance, according to the U.S. Commerce Department
analysis, in 2016, the sales from e-commerce was 41.6% and it increased up to 49.4% in 2017.
Digitalization, rising disposable income, and rising adoption of IOT are some of the factors
responsible for increasing the sales of the e-commerce sector. Therefore, increasing sales of ecommerce will lead to increasing demand for analytical tools, which will boost growth of the retail
analytics market in the region.
Global Retail Analytics Market: Competitive Landscape
The key players operating in the global retail analytics market include IBM Corporation, Microsoft
Corporation, Oracle Corporation, SAP SE, Adobe Systems Incorporated, SAS Institute Inc., HCL
Technologies Ltd., Cisco Systems Inc., MicroStrategy, Inc., and Tableau Software, Inc. The major
players of the market such as IBM Corporation, Microsoft, and Oracle Corporation are adopting
strategies such as mergers and acquisitions for product development, in order to retain the
position in the market. For instance, in December 2014, Oracle Corporation introduced the Oracle
Retail Merchandising Analytics 14.1 version, which helps the retailers to improve their business
performance by leveraging the real data collected from the consumers.
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Retail Analytics Market, by Component Type (Software and Services), by Deployment Model (On-Premises and On-Demand), by Organization Size (SMEs and Large Enterprises), by Application (Merchandising Analysis, Customer Analysis, Performance Analysis, Inventory Analysis, and Others), by End User (Online and Offline ), and by Region - Global Industry Insights, Trends, Outlook, and Opportunity Analysis, 2018-2026