Press Release

Description

Summary

The analytical capabilities of big data have had a positive impact across industries, including the Ecommerce industry. Online vendors engage in developing services to link big data analytical tools to their businesses in order total into the ensuing benefits. The use of big data simplifies and improves business performances by enabling companies to analyze historic trends and current consumer behavioral patterns and thereby offer better and more customized products.

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The application of big data enables E-commerce businesses to get access to huge volumes of data that they can use to reshape their operations and maximize revenue generation. Companies these days, are already actively using big data to study customer purchase patterns and preferences and to reorganize their offerings to drive up sales.

Approximately 54% of millennials preferred online purchases compared to 49% of non-millennials in 2016. The growing popularity of the E-commerce industry is expected to require huge amounts of data, which will in turn propel the growth of the market.

Rapid development and technology advancements in the E-commerce field are likely to offer potential opportunities for big data application. One of the upcoming trends in this industry is contextual and programmatic advertising, which is expected to use huge amounts of data sets to identify target customers.

Social media sites are in the process of revamping designs to cater to this trend. In addition, the significant influence of social media such as Facebook, Twitter, WhatsAppis encouraging e-retailers to introduce groups and pages to showcase their products to expand their visibility to larger consumer bases.

Consumers’ changing preferences require continuous product modifications and customizations. This scenario demands the application of big data to understand customer behavioral patterns, which will in turn enable e-retailers to customize their product offerings and recommendations and thereby provide enhanced interactive customer experiences.

For instance, coupon offers, promotional campaigns and discounts based on previous spending records are helping online retailers draw huge customer traffic and generate profitable returns. The increasing use of big data is expected to allow e-retailers to recommend products and remind customers of pending purchases, thereby increasing sales as well as customer satisfaction.

According to IBM, about 62% of retailers claim that the application of big data has given them a prominent competitive advantage. With the help of big data, category managers analyze trending products and their demand preferences. This data, combined with previous data sets, enable Ecommerce business firms to gain knowledge about which products should be kept in inventory, which type of consumers they should be expecting in the future and what could be the most effective ways to maintain high retention rates.

Report Scope:

This report includes market estimates and forecasts of big data implementation in the E-commerce industry at global, regional and country levels. It also highlights the ongoing trends and growth prospects for the future.

Key market participants, extensive segments such as component, solution, data type, deployment model, and end use, industry trends, market dynamics (growth and restraint factors), competitive intelligence, regional and country trends are discussed in this report. There is a detailed analysis of market growth factors and their expected level of impact as well as the key geographies and respective trends and competitive scenarios that will form the base data for qualitative analysis and market estimates.

The global report on big data in the E-commerce market has been analyzed across five main geographic regions: North America, Europe, Asia-Pacific, Central and South America, and the Middle East and Africa.

The report will provide details with respect to the benefits of big data application in the E-commerce industry. It will highlight qualitative and quantitative analysis on all market segments across global, region and country levels to provide a comprehensive picture of market penetration, trends and demand forecasts.

Report Includes:

– 106 data tables and 26 additional tables
– An overview of global market for big data in e-commerce sector
– Discussion on big data applications in enabling target advertisements and enhancing personalized experience
– Knowledge about advantages of big data in customer acquisitions, safety and customer satisfaction
– Information on “Micro Moments” which is used to foresee customer activity pattern
– Detailed profiles of major players in the industry, including Amazon Web Services, Inc., Dell Inc., Hitachi, Ltd., IBM Corp., Microsoft Corp., Hewlett Packard Enterprise (HPE) and Oracle Corp.

Companies Mentioned:
AMAZON WEB SERVICES, INC.
DATA INC.
DELL INC.
HEWLETT PACKARD ENTERPRISE (HPE)
HITACHI, LTD.
IBM CORP.
MICROSOFT CORP.
ORACLE CORP.
PALANTIR TECHNOLOGIES, INC.
SAP SE
SAS INSTITUTE INC.
SPLUNK INC.
TERADATA CORP.

Browse the full report @ https://www.orbisresearch.com/reports/index/big-data-in-e-commerce-global-markets

Table of Contents

Chapter 1 Introduction
Study and Objectives
Study Background
Scope of Report
Intended Audience
Source of Information and Methodology
Analyst’s Credentials
BCC Custom Research
Related BCC Research Reports
Chapter 2 Summary
Chapter 3 Market Overview
Market Lineage Outlook
Penetration and Growth Prospect Mapping
Industry Value Chain Analysis
Market Dynamics
Market Drivers Analysis
Market Restraints Analysis
Business Environment Analysis: Big Data in the E-commerce Market
Porter’s Five Forces Analysis
PESTLE Analysis
Company Market Share Analysis
Market Size and Growth Prospects
Chapter 4 Big Data in the E-commerce: Market by Component
Big Data Software in the E-commerce: Market Overview
Big Data Software in the E-commerce: Market Analysis
Big Data Software in the E-commerce: Market Estimates and Forecasts
Big Data Hardware in the E-commerce: Market Analysis
Big Data Hardware in the E-commerce: Market Estimates and Forecasts
Chapter 5 Big Data in the E-commerce: Market by Type of Data
Structured Big Data Overview
Structured Big Data Market Analysis
Structured Big Data in the E-commerce: Market Estimates and Forecasts
Unstructured Big Data Overview
Unstructured Big Data Market Analysis
Unstructured Big Data in the E-commerce: Market Estimates and Forecasts
Semi-structured Big Data Overview
Semi-structured Big Data Market Analysis
Semi-structured Big Data in the E-commerce: Market Estimates and Forecasts
Chapter 6 Big Data in the E-commerce: Market by Type of Solution
Content Analytics Overview
Content Analytics Market Analysis
Content Analytics in the E-commerce: Market Estimates and Forecasts
Customer Analytics Overview
Customer Analytics Market Analysis
Customer Analytics in the E-commerce: Market Estimates and Forecasts
Fraud Detection Overview
Fraud Detection Market Analysis
Fraud Detection in the E-commerce: Market Estimates and Forecasts
Risk Management Overview
Risk Management Market Analysis
Risk Management in the E-commerce: Market Estimates and Forecasts
Chapter 7 Big Data in the E-commerce: Market by Type of Deployment
Cloud-based Deployment Overview
Cloud-based Deployment Market Analysis
Cloud-based Deployments in the E-commerce: Market Estimates and Forecasts
On-premises Deployment Overview
On-premises Market Analysis
On-premises Deployment in the E-commerce: Market Estimates and Forecasts
Chapter 8 Big Data in the E-commerce: Market by End Use
Online Classifieds Overview
Online Classifieds Market Analysis
Online Classifieds in the E-commerce: Market Estimates and Forecasts
Online Education Overview
Online Education Market Analysis
Online Education in the E-commerce: Market Estimates and Forecasts
Online Financials Overview
Online Financials Market Analysis
Online Financials in the E-commerce: Market Estimates and Forecasts
Online Retail Overview
Online Retail Market Analysis
Online Retail in the E-commerce: Market Estimates and Forecasts
Online Travel and Leisure Overview
Online Travel and Leisure Market Analysis
Online Travel and Leisure in the E-commerce: Market Estimates and Forecasts
Other End Uses: Overview
Other End Uses: Market Analysis
Other End Uses in the E-commerce: Market Estimates and Forecasts
Chapter 9 Big Data in the E-commerce: Market by Region
North America
North American Market Estimates and Forecasts
U.S.
Europe
European Market Estimates and Forecasts
U.K.
Germany
Asia-Pacific
Asia-Pacific Market Estimates and Forecasts
China
Central and South America (CSA)
CSA Market Estimates and Forecasts
Middle East and Africa (MEA)
MEA Market Estimates and Forecasts
Chapter 10 Competitive Landscape
Key Market Players and Recent Developments
Major Deals and Strategic Alliances
Industry Impact
Chapter 11 Company Profiles
AMAZON WEB SERVICES, INC.
DATA INC.
DELL INC.
HITACHI, LTD.
IBM CORP.
MICROSOFT CORP.
HEWLETT PACKARD ENTERPRISE (HPE)
ORACLE CORP.
PALANTIR TECHNOLOGIES, INC.
SAP SE
SAS INSTITUTE INC.
SPLUNK INC.
TERADATA CORP.

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