“Big Data in Retail Market” report focuses on latest innovative marketing strategies, trends, leading players, supply chain trends, technological innovations, key developments, and future strategies. Big Data in Retail market report includes comprehensive details of the key market dynamics along with relevant market segments and sub-segments.
Big Data in Retail market report has provided a top-to-bottom research on the Big Data in Retail market features such as growth drivers, threats, opportunities, challenges with a key focus on both global and the regional market. Moreover, Big Data in Retail market report presents the market competitive landscape and a corresponding detailed analysis of the leading manufacturers in the market.
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Global Big Data in Retail market competition by top manufacturers, with production, price, and revenue (value) and market share for each manufacturer; the top players including-
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Key Market Trends:
Merchandising and Supply Chain Segment Expected to Hold Significant Share
- E-commerce has had an impact on the traditional brick and mortar retailers reducing their significance marking the data-driven revolution in the retail sector.
- An efficient supply chain, the optimised movement of goods from supplier to warehouse to store to customer, is very critical to every business. Therefore, big data is at the core of revolutionising retail supply chain i.e tracking and tracing product flow and stock levels in real-time, leveraging customer data to predict buying patterns, even using robots to tirelessly fulfil orders in vast automated warehouses.
- In th UK, the supply chain Big Data for retail is expected to grow significantly over the forecast period following manufacturing and energy sector.
- Owing to this, it is further expected that predictive and machine learning AI will revolutionize the retail supply chain.
North America Region Expected to Hold the Largest Share
- The retail sector in the region is huge and is witnessing an increase in the sales. In the US, according to the National Retail Federation (NRF), retail sales are expected to rise between 3.8% and 4.4% to more than USD 3.8 trillion in 2019, citing high consumer confidence, low unemployment and rising wages.
- Besides, North America is among the leading innovators and pioneers, in terms of adoption, for Big Data . The region boasts of a strong foothold of Big Data vendors, which further contributes to the growth of the market. Some of them include IBM Corporation, SAS Institute, Inc., Alteryx, Inc., and Microstrategy Incorporated among others.
- With this increase in the creation and consumption of data in retail (with increased sales) that continues to grow rapidly calls for more significant investments in big data hardware, software, and services.
What are the market factors that are explained in the report?
-Key Developments: Big Data in Retail market report includes the key strategic developments of the market, new product launch, agreements, collaborations, partnerships, joint ventures, and regional growth of the leading competitors operating in the market.
-Market Features: Big Data in Retail market report estimated key market structures, including revenue, price, capacity, capacity utilization rate, gross, production, production rate, consumption, import/export, supply/demand, cost, market share, CAGR, and gross margin.
-Logical Tools: Global Big Data in Retail market report includes the accurately studied and assessed data of the key industry players and their scope in the market by means of a number of analytical tools. The analytical tools such as Porter’s five forces analysis, feasibility study, and investment return examination have been used to analyze the growth of the key players operating in the market.
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Detailed TOC of Big Data in Retail Market – Segmented by Geography – Growth, Trend, and Forecast:
1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study
2 RESEARCH METHODOLOGY
2.1 Analysis Methodology
2.2 Research Phases
3 EXECUTIVE SUMMARY
4 MARKET DYNAMICS
4.1 Market Overview
4.2 Introduction to Market Drivers and Restraints
4.3 Market Drivers
4.3.1 Increased Emphasis on Predictive
4.3.2 Increased Innovations in Retail Digitalization Techniques
4.4 Market Restraints
4.4.1 Complexities in Collecting and Collating the Data From Disparate Systems
4.5 Industry Attractiveness - Porter’s Five Force Analysis
4.5.1 Threat of New Entrants
4.5.2 Bargaining Power of Buyers/Consumers
4.5.3 Bargaining Power of Suppliers
4.5.4 Threat of Substitute Products
4.5.5 Intensity of Competitive Rivalry
5 MARKET SEGMENTATION
5.1 By Application
5.1.1 Merchandising & Supply Chain
5.1.2 Social Media
5.1.4 Operational Intelligence
5.1.5 Other Applications
5.2 By Business Type
5.2.1 Small and Medium Enterprises
5.2.2 Large-scale Organizations
5.3.1 North America
5.3.4 Rest of the World
6 COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 SAP SE
6.1.2 Oracle Corporation
6.1.3 Qlik Technologies Inc.
6.1.4 Zoho Corporation
6.1.5 IBM Corporation
6.1.6 Retail Next Inc.
6.1.7 Alteryx Inc.
6.1.8 Tableau Software, Inc.
6.1.9 Adobe Systems Incorporated
6.1.10 Microstrategy Inc.
6.1.11 Hitachi Vantara Corporation
6.1.12 Fuzzy Logix LLC
7 INVESTMENT ANALYSIS
8 MARKET OPPORTUNITIES AND FUTURE TRENDS
Name: Ajay More
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