Big Data in Retail - Thematic Research
May 2018
39
About the Report
About the Report
Big Data in Retail-Thematic Research
Summary
Cloud computing, machine learning (ML), augmented reality (AR), internet TV, the Internet of Things (IoT), robotics, cryptocurrencies, voice, blockchain, and cybersecurity. These are the big investment themes of tomorrow and they all have one thing in common: they generate huge amounts of data.
Cisco estimates that the world generates 122 exabytes of data traffic per month. This traffic is growing at 24% per annum and 82% of it is consumer generated. Most of this data traffic could be monetized via a growing band of hyperscale, internet-facing data centers around the world.
This report focuses on analysing big data in the retail sector.
Scope
- This report focuses on understanding the substantial opportunities for traditional retailers as well as eTailers since they already have a wealth of data that can be used for various analytics to optimize processes, increase sales and launch new products and services-It highlights the importance of protecting the large and valuable quantities of customer data from breach and cyber-attacks.
- The report identifies the leading technology players, who should benefit from the emergence of BDA, as well as the leading retail players with advanced BDA solutions.
Reasons to buy
- The report highlights the key players in the big data industry and where do they sit in the value chain.
- It identifies the main trends expected over the next two years in the big data theme.
- The report also analyses the key segments of the big data value chain.
- It also provides an industry analysis, significant mergers and acquisitions and critical milestones that have changed the course of the data center industry's evolution.
- The report also discusses the impact of big data on retail through retail case studies, and key recommendations for retailers and IT vendors.
- It offers a technology briefing of how big data combines traditional data management technologies with new forms of data processing that are better suited to modern formats.
Products
Companies
Amazon
Arista Networks
Cisco
Cloudera
Hortonworks
HP Enterprise
IBM
Intel
Juniper Networks
Micron
MicroStrategy
Microsoft
NeoPhotonics
Nutanix
Nvidia
Oracle
Pure Storage
Red Hat
SAP
Software AG
Tableau
Talend
Vmware
Alpine Data Labs
Alteryx
Birst
Capsenta
Dataiku
DataVirtuality
Delphix
Denodo Technologies
Informatica
Logi Analytics
MarkLogic
PostgreSQL
Qlik
RapidMiner
Reltio
TIBCO
Alibaba
Carrefour
Home Depot
JD.com
John Lewis
Kroger
Macy's
Marks and Spencer (M&S)
Tesco
Walmart
Table of Contents
Table of Contents
Table of Contents
PLAYERS 3
TRENDS 4
Data trends 4
Industry growth drivers 5
HARDWARE TRENDS 6
SOFTWARE TRENDS 8
Big data trends in the retail sector 9
VALUE CHAIN 10
INDUSTRY ANALYSIS 12
Mergers and acquisitions 15
Timeline 16
THE IMPACT OF BIG DATA ON RETAIL 18
Retail case studies 20
Key recommendations for retailers 22
Key recommendations for IT vendors 23
COMPANIES SECTION 24
Public tech companies 24
Private tech companies 29
Retail companies 31
TECHNOLOGY BRIEFING 33
GLOSSARY 35
APPENDIX: OUR THEMATIC RESEARCH METHODOLOGY 38
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