Big Data Analytics in Retail Market Worldwide Industry Share, Size, Gross Margin, Trend, Future Demand and Forecast till 2027

The global big data analytics in retail market reached a market size of USD 4.56 Billion in 2020 and is expected to register a robust CAGR of 21.2% over the forecast period, according to latest analysis by Emergen Research. Growing need to enhance customer experience with personalized offerings in the retail industry is among some of the key factors expected to drive growth of the global big data analytics in retail market during the forecast period.

Furthermore, application of Porters Five Forces Analysis to determine the status of various aspects such as the capability of both the suppliers and customers, threats posed by different substitutes, the intensity of competition and promising new vendors makes the study a valuable resource. The researchers behind the market intelligence report examine the weaknesses, strengths, opportunities, and restraints expected to shape the progress of the Big Data Analytics in Retail market for the forecast period, 2020 to 2027. The market intelligence report includes detailed statistics on market segmentation based on product value, application, classification, and sale.

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Key questions answered in the report

What will be the market size in terms of value and volume in the next five years?

Which segment is currently leading the market?

In which region will the market find its highest growth?

Which players will take the lead in the market?

What are the key drivers and restraints of the market’s growth?

Key Highlights of Report

Increasing adoption of big data analytics software in the retail industry is driving revenue growth of the software segment currently, which is expected to register a significantly high CAGR over the forecast period.

In terms of market share, the on-premises segment is expected to lead during the forecast period due to increasing implementation of on-premises-based big data analytics solutions for better data privacy in the retail industry.

In terms of revenue, the customer analytics segment is expected to register significant growth with a high CAGR during the forecast period due to increasing usage of big data analytics software in the retail industry for customer-based analysis.

Due to high presence of international players such as Oracle Corporation, Zoho Corporation, and International Business Machines Corporation in countries in North America, the market in the region is expected to account for comparatively higher revenue share among other regional markets during the forecast period.

Key market players include Oracle Corporation, Zoho Corporation, SAP SE, Qlik Technologies Inc., International Business Machines Corporation, Retail Next Inc., Salesforce.com Inc., Microstrategy Inc., Alteryx Inc., and Fuzzy Logix LLC.

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Emergen Research has segmented the global big data analytics in retail market on the basis of component, deployment, application, and region.

Component Outlook (Revenue, USD Billion; 2021–2028)

Services

Software

Deployment Outlook (Revenue, USD Billion; 2021–2028)

Cloud-Based

On-Premises

Application Outlook (Revenue, USD Billion; 2021–2028)

Customer Analytics

Sales & Marketing Analytics

Merchandising Analytics

Supply Chain Operations Management

Social Media Analytics

Others

Major Regions play vital role in Travel Bags Market are:

North America

Europe

China

Japan

Middle East & Africa

India

South America

Others

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Report Objectives

Examine the size of the global Big Data Analytics in Retail market based on the parameters of value and volume.

Accurately calculate the market shares, consumption, and other essential aspects of different segments of the global Big Data Analytics in Retail market.

Explore the underlying dynamics of the global Big Data Analytics in Retail market.

Highlight significant trends of the global Big Data Analytics in Retail market based on factors including, production, revenue, and sales.

Extensively profile top players of the global Big Data Analytics in Retail market and showing how they compete in the industry.

Study manufacturing processes and the costs, product pricing, and various trends associated with them.

Analyze the performance of different regions and countries in the global Big Data Analytics in Retail market.

Forecast the market size and share of all segments and regions in the global landscape.

The global Big Data Analytics in Retail market research is carried out at the different stages of the business lifecycle from the production of a product, cost, launch, application, consumption volume and sale. The research offers valuable insights into the marketplace from the beginning including some sound business plans chalked out by prominent market leaders to establish a strong foothold and expand their products into one that’s better than others.

Research Methodology

Data triangulation and market breakdown

Research assumptions Research data including primary and secondary data

Primary data includes breakdown of primaries and key industry insights

Secondary data includes key data from secondary sources

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Table of Content

Chapter 1. Methodology & Sources

1.1. Market Definition

1.2. Research Scope

1.3. Methodology

1.4. Research Sources

1.4.1. Primary

1.4.2. Secondary

1.4.3. Paid Sources

1.5. Market Estimation Technique

Chapter 2. Executive Summary

2.1. Summary Snapshot, 2019-2027

Chapter 3. Key Insights

Chapter 4. Big Data Analytics in Retail Market Segmentation & Impact Analysis

4.1. Big Data Analytics in Retail Market Material Segmentation Analysis

4.2. Industrial Outlook

4.2.1. Market indicators analysis

4.2.2. Market drivers analysis

4.2.2.1. Increasing demand for safety and security in transportation

4.2.2.2. Rising demand for operating efficiency

4.2.2.3. Growing demand for autonomous vehicles

4.2.2.4. Increasing demand for traffic management systems

4.2.3. Market restraints analysis

4.2.3.1. Cost-prohibitive Artificial Intelligence systems

4.3. Technological Insights

4.4. Regulatory Framework

4.5. Porter’s Five Forces Analysis

4.6. Competitive Metric Space Analysis

4.7. Price trend Analysis

4.8. Covid-19 Impact Analysis

Chapter 5. Big Data Analytics in Retail Market By Process Insights & Trends, Revenue (USD Million)

Chapter 6. Big Data Analytics in Retail Market By Learning Technology Insights & Trends Revenue (USD Million)

Chapter 7. Big Data Analytics in Retail Market By Application Insights & Trends Revenue (USD Million)

Chapter 8. Big Data Analytics in Retail Market Regional Outlook

Continued…

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