Welcome!

Microsoft Cloud Authors: Pat Romanski, Elizabeth White, Liz McMillan, Mihai Corbuleac, David Bermingham

News Feed Item

Global Big Data Market with Focus on Supply Chain Management - Key Trends, Competitive Landscape, Geographic & End-User Segment Analysis (2012-2018)

NEW YORK, April 1, 2014 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Global Big Data Market with Focus on Supply Chain Management - Key Trends, Competitive Landscape, Geographic & End-User Segment Analysis (2012-2018)
http://www.reportlinker.com/p02057076/Global-Big-Data-Market-with-Focus-...

Big data can be best defined as the capture, curation, storage, search and analysis of large and complex data sets which are generally difficult to be processed or handled by traditional data processing systems. These systems are currently being implemented on a limited scale in many supply chain companies for varied purposes. Most supply chain companies on an average use more than two systems for management purposes. Some have two instances of Enterprise Resource Planning (ERP) software installed for different parts of the supply chain and logistics purposes. Different use cases for the systems are order management; demand planning, warehouse management, price management, production planning, tactical supply planning, transportation planning, product lifecycle management and Manufacturing Execution Systems (MES). This is one major reason for the utilization of Big data in companies. Other in-depth reasons for the need for Big data in SCM have been covered in the report.

Companies for example need to anticipate problems or understand growth through the usage of advanced analytics. Traditional business analytics can answer the questions that leaders know to ask. But the questions that are important but companies do not know to ask are more crucial to build risk mitigation strategies. An important question for example can be about the ways to learn about product and service failures in the market which can be asked and answered through use of Big data predictive analysis. Text mining and rules-based ontologies are some of the techniques which can be used to build listening capabilities to learn early and mitigate issues quickly.

This report discusses the key players in the Big data market by their types of software and solution offerings. The overall Big data market has been segmented into key industry verticals and by the geographic regions on a global scale. The need for Big data in supply chain management has been discussed in detail with the key market drivers, market restraints and opportunities presented in this context. The investment scenario, collaborations and joint ventures of Big data companies has been covered in in-depth analysis to give an insight into the rising interest in Big data players from across the private and government entities.

1 Introduction
1.1 Key Takeaways
1.2 Report Description
1.3 Scope & Markets Covered
1.4 Stakeholders
2 Executive Summary
3 Market Overview
3.1 Introduction
3.2 Definition
3.2.1 Big Data
3.2.2 Supply Chain Management (SCM)
3.3 Global Market Overview –Need for Big Data in SCM
3.3.1 Current Transactional Systems have High System Complexity
3.3.2 Growing Data Creates Problem of Plenty
3.3.3 Provision of Structured Data in Big Data
3.4 Current scenario of big data in SCM
3.5 Use Cases for Big Data in Supply Chain Management
3.5.1 Overview
3.5.2 Big Data in Travel and Transportation Industry
3.5.2.1 Improving Customer and Operations Insights
3.5.2.2 Predictive Maintenance Optimization
3.5.2.3 Capacity and Pricing Optimization
3.5.3 Big Data in Automotive Industry
3.5.4 Big Data in Consumer Products or manufacturing Industry
3.5.5 Big Data in Retail Industry
4 Market Analysis
4.1 Market Dynamics
4.1.1 Market Drivers
4.1.1.1 Usage of Advanced Analytics to Answer Strategic Questions
4.1.1.2 Customer Feedback and Online Marketing
4.1.1.3 Need for Faster Response Systems
4.1.1.4 Safe Delivery of Products to Clients
4.1.1.5 Opportunity to Open New Channel Programs
4.1.1.6 Internet of Things and Machine to Machine (M2M) to Help Digital Manufacturing and Digital Services
4.1.1.7 Supply Chain Visibility Improvement
4.1.2 Market Restraints
4.1.2.1 Data Growth Not Being Matched by Hardware and Storage Capabilities
4.1.2.2 Concern for Strong Security Features in Big Data Systems
4.1.2.3 Complex Framework Leads to Performance Issues
4.1.3 Market Opportunities
4.1.3.1 Availability of Funding on a Wider Scale
4.1.3.2 Partnerships between Vendors and Clients
4.2 Top Supply Chain Companies Analysis
4.3 Porter's Analysis
4.3.1 Threat from New Entrants
4.3.2 Threat from Substitutes
4.3.3 Bargaining Power of Suppliers
4.3.4 Bargaining Power of Customers
4.3.5 Degree of Competition
5 Case studies of Big Data usage by supply chain companies –(solutions and benefits)
5.1 Amazon
5.1.1 Amazon Fulfillment Centers Program
5.2 IBM
5.2.1 IBM and Barnes & Noble
5.2.1.1 Overview and SCM Problems
5.2.1.2 Solution and Benefits
5.2.2 IBM andKramm Groep
5.2.2.1 Overview and SCM Problems
5.2.2.2 Solution and Benefits
5.2.3 IBM and Andrews Distributing
5.2.3.1 Overview and SCM Problem
5.2.3.2 Solution and Benefits
5.2.4 IBM and Sudzucker
5.2.4.1 Overview and SCM Problem
5.2.4.2 Solution and Benefits
5.2.5 IBM and FedeFarma
5.2.5.1 Overview and SCM Problem
5.2.5.2 Solution and Benefits
5.2.6 IBM and Cheesecake factory
5.3 Telogis
5.3.1 Telogis and Pro's Ranch Market
5.3.1.1 Overview and SCM Problems
5.3.1.2 Solution and Benefits
5.3.2 Telogis and ITL
5.3.2.1 Overview and SCM Problems
5.3.2.2 Solution and Benefits
5.3.3 Telogis and Supershuttle
5.3.3.1 Overview and SCM Problems
5.3.3.2 Solution and Benefits
5.4 LeanLogistics
5.4.1 LeanLogistics and Dannon
5.4.1.1 Overview and SCM Problems
5.4.1.2 Solution and Benefits
5.4.2 LeanLogistics and Ace Hardware
5.4.2.1 Overview and SCM Problems
5.4.2.2 Solution and Benefits
5.4.3 LeanLogistics and MTD Products
5.4.3.1 Overview and SCM Problems
5.4.3.2 Solution and Benefits
5.5 Teradata
5.5.1 Teradata Aster and Supervalu
5.5.1.1 Overview and SCM Problems
5.5.1.2 Solution and Benefits
5.5.2 Teradata and Norfolk Southern Railway Company
5.5.2.1 Overview and SCM Problems
5.5.2.2 Solution and Benefits
5.6 SAP
5.6.1 SAP HANA and Suning
5.6.2 SAP HANA and eBay
5.6.3 SAP HANA and Home Shopping Europe
6 Global Market Landscape Analysis of Big Data Providers
6.1 IBM
6.2 HP
6.3 Teradata
6.4 Oracle
6.5 SAP
6.6 EMC
6.7 Amazon
6.8 Microsoft
6.9 Google
6.10 VMware
6.11 Cloudera
6.12 Splunk
6.13 Hortonworks
6.14 MongoDB
6.15 MapR
7 Big Data in SCM –Market Analysis
7.1 Big Data market analysis by industries
7.2 Big Data in SCM market - analysis by industries
7.3 Suppliers of Big Data Solutions
7.4 Big Data in SCM - Solutions Offered
7.4.1 Retail
7.4.2 Transportation
7.5 Competitive Situation and Trends
7.5.1 Funding and Investments
7.5.2 Agreements, Partnerships, Joint Ventures and Collaborations
7.5.3 Mergers and Acquisitions
8 Global Big Data in SCM –Geographic Analysis
8.1 Global Big Data market –Geographic Analysis
8.2 Global Big Data in SCM market–Geographic Analysis
9 Key Company Market Snapshots
9.1 Cloudera
9.1.1 Company Products & Services
9.1.2 Strategic Initiatives
9.1.3 IndustryARC Analysis
9.2 Karmasphere
9.2.1 Company Products
9.2.2 IndustryARC Analysis
9.3 Pentaho Corporation
9.3.1 Company Products & Services
9.3.2 Strategic Initiatives
9.3.3 IndustryARCAnalysis
9.4 Zettaset
9.4.1 Company Products & Services
9.4.2 Strategic Initiatives
9.4.3 IndustryARC Analysis
9.5 Datastax
9.5.1 Company Products & Services
9.5.2 Strategic Initiatives
9.5.3 IndustryARC Analysis
9.6 Talend
9.6.1 Company Products &Services
9.6.2 Strategic Initiatives
9.6.3 IndustryARC Analysis
9.7 Amazon
9.7.1 Company Products & Services
9.7.2 Strategic Initiatives
9.7.3 IndustryARC Analysis
9.8 IBM
9.8.1 Company Products & Services
9.8.2 Strategic Initiatives
9.8.3 IndustryARC Analysis
9.9 Data Direct Networks
9.9.1 Company Products & Services
9.9.2 Strategic Initiatives
9.9.3 IndustryARC Analysis
9.10 MapR Technologies
9.10.1 Company Products & Services
9.10.2 Strategic Initiatives
9.10.3 IndustryARC Analysis
9.11 DELL, INC
9.11.1 Company Products & Services
9.11.2 Strategic Initiatives
9.11.3 IndustryARC Analysis
9.12 DataSift
10 Appendix
10.1 Sources
10.2 Acronyms



To order this report: Global Big Data Market with Focus on Supply Chain Management - Key Trends, Competitive Landscape, Geographic & End-User Segment Analysis (2012-2018)
http://www.reportlinker.com/p02057076/Global-Big-Data-Market-with-Focus-...



__________________________
Contact Clare: [email protected]
US: (339)-368-6001
Intl: +1 339-368-6001

 

SOURCE Reportlinker

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

@ThingsExpo Stories
When people aren’t talking about VMs and containers, they’re talking about serverless architecture. Serverless is about no maintenance. It means you are not worried about low-level infrastructural and operational details. An event-driven serverless platform is a great use case for IoT. In his session at @ThingsExpo, Animesh Singh, an STSM and Lead for IBM Cloud Platform and Infrastructure, will detail how to build a distributed serverless, polyglot, microservices framework using open source tec...
IoT offers a value of almost $4 trillion to the manufacturing industry through platforms that can improve margins, optimize operations & drive high performance work teams. By using IoT technologies as a foundation, manufacturing customers are integrating worker safety with manufacturing systems, driving deep collaboration and utilizing analytics to exponentially increased per-unit margins. However, as Benoit Lheureux, the VP for Research at Gartner points out, “IoT project implementers often ...
Basho Technologies has announced the latest release of Basho Riak TS, version 1.3. Riak TS is an enterprise-grade NoSQL database optimized for Internet of Things (IoT). The open source version enables developers to download the software for free and use it in production as well as make contributions to the code and develop applications around Riak TS. Enhancements to Riak TS make it quick, easy and cost-effective to spin up an instance to test new ideas and build IoT applications. In addition to...
Presidio has received the 2015 EMC Partner Services Quality Award from EMC Corporation for achieving outstanding service excellence and customer satisfaction as measured by the EMC Partner Services Quality (PSQ) program. Presidio was also honored as the 2015 EMC Americas Marketing Excellence Partner of the Year and 2015 Mid-Market East Partner of the Year. The EMC PSQ program is a project-specific survey program designed for partners with Service Partner designations to solicit customer feedbac...
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to imp...
In his general session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed cloud as a ‘better data center’ and how it adds new capacity (faster) and improves application availability (redundancy). The cloud is a ‘Dynamic Tool for Dynamic Apps’ and resource allocation is an integral part of your application architecture, so use only the resources you need and allocate /de-allocate resources on the fly.
It is one thing to build single industrial IoT applications, but what will it take to build the Smart Cities and truly society changing applications of the future? The technology won’t be the problem, it will be the number of parties that need to work together and be aligned in their motivation to succeed. In his Day 2 Keynote at @ThingsExpo, Henrik Kenani Dahlgren, Portfolio Marketing Manager at Ericsson, discussed how to plan to cooperate, partner, and form lasting all-star teams to change t...
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, provided an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life sett...
There are several IoTs: the Industrial Internet, Consumer Wearables, Wearables and Healthcare, Supply Chains, and the movement toward Smart Grids, Cities, Regions, and Nations. There are competing communications standards every step of the way, a bewildering array of sensors and devices, and an entire world of competing data analytics platforms. To some this appears to be chaos. In this power panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, Bradley Holt, Developer Advocate a...
Connected devices and the industrial internet are growing exponentially every year with Cisco expecting 50 billion devices to be in operation by 2020. In this period of growth, location-based insights are becoming invaluable to many businesses as they adopt new connected technologies. Knowing when and where these devices connect from is critical for a number of scenarios in supply chain management, disaster management, emergency response, M2M, location marketing and more. In his session at @Th...
The cloud market growth today is largely in public clouds. While there is a lot of spend in IT departments in virtualization, these aren’t yet translating into a true “cloud” experience within the enterprise. What is stopping the growth of the “private cloud” market? In his general session at 18th Cloud Expo, Nara Rajagopalan, CEO of Accelerite, explored the challenges in deploying, managing, and getting adoption for a private cloud within an enterprise. What are the key differences between wh...
A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, wh...
SYS-CON Events announced today that Bsquare has been named “Silver Sponsor” of SYS-CON's @ThingsExpo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. For more than two decades, Bsquare has helped its customers extract business value from a broad array of physical assets by making them intelligent, connecting them, and using the data they generate to optimize business processes.
Cloud computing is being adopted in one form or another by 94% of enterprises today. Tens of billions of new devices are being connected to The Internet of Things. And Big Data is driving this bus. An exponential increase is expected in the amount of information being processed, managed, analyzed, and acted upon by enterprise IT. This amazing is not part of some distant future - it is happening today. One report shows a 650% increase in enterprise data by 2020. Other estimates are even higher....
Internet of @ThingsExpo, taking place November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 19th Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The Internet of Things (IoT) is the most profound change in personal and enterprise IT since the creation of the Worldwide Web more than 20 years ago. All major researchers estimate there will be tens of billions devices - comp...
19th Cloud Expo, taking place November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, will feature technical sessions from a rock star conference faculty and the leading industry players in the world. Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud strategy. Meanwhile, 94% of enterpri...
The 19th International Cloud Expo has announced that its Call for Papers is open. Cloud Expo, to be held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, brings together Cloud Computing, Big Data, Internet of Things, DevOps, Digital Transformation, Microservices and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding business opportuni...
Internet of @ThingsExpo, taking place November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with the 19th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world and ThingsExpo Silicon Valley Call for Papers is now open.
There is little doubt that Big Data solutions will have an increasing role in the Enterprise IT mainstream over time. Big Data at Cloud Expo - to be held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA - has announced its Call for Papers is open. Cloud computing is being adopted in one form or another by 94% of enterprises today. Tens of billions of new devices are being connected to The Internet of Things. And Big Data is driving this bus. An exponential increase is...
Cognitive Computing is becoming the foundation for a new generation of solutions that have the potential to transform business. Unlike traditional approaches to building solutions, a cognitive computing approach allows the data to help determine the way applications are designed. This contrasts with conventional software development that begins with defining logic based on the current way a business operates. In her session at 18th Cloud Expo, Judith S. Hurwitz, President and CEO of Hurwitz & ...