Welcome!

Websphere Authors: Elizabeth White, Pat Romanski, Carmen Gonzalez, Yeshim Deniz, Sanjeev Sharma

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: clare@reportlinker.com
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
The Internet of Things will put IT to its ultimate test by creating infinite new opportunities to digitize products and services, generate and analyze new data to improve customer satisfaction, and discover new ways to gain a competitive advantage across nearly every industry. In order to help corporate business units to capitalize on the rapidly evolving IoT opportunities, IT must stand up to a new set of challenges. In his session at @ThingsExpo, Jeff Kaplan, Managing Director of THINKstrategies, will examine why IT must finally fulfill its role in support of its SBUs or face a new round of...
One of the biggest challenges when developing connected devices is identifying user value and delivering it through successful user experiences. In his session at Internet of @ThingsExpo, Mike Kuniavsky, Principal Scientist, Innovation Services at PARC, described an IoT-specific approach to user experience design that combines approaches from interaction design, industrial design and service design to create experiences that go beyond simple connected gadgets to create lasting, multi-device experiences grounded in people's real needs and desires.
Enthusiasm for the Internet of Things has reached an all-time high. In 2013 alone, venture capitalists spent more than $1 billion dollars investing in the IoT space. With "smart" appliances and devices, IoT covers wearable smart devices, cloud services to hardware companies. Nest, a Google company, detects temperatures inside homes and automatically adjusts it by tracking its user's habit. These technologies are quickly developing and with it come challenges such as bridging infrastructure gaps, abiding by privacy concerns and making the concept a reality. These challenges can't be addressed w...
The Domain Name Service (DNS) is one of the most important components in networking infrastructure, enabling users and services to access applications by translating URLs (names) into IP addresses (numbers). Because every icon and URL and all embedded content on a website requires a DNS lookup loading complex sites necessitates hundreds of DNS queries. In addition, as more internet-enabled ‘Things' get connected, people will rely on DNS to name and find their fridges, toasters and toilets. According to a recent IDG Research Services Survey this rate of traffic will only grow. What's driving t...
Connected devices and the Internet of Things are getting significant momentum in 2014. In his session at Internet of @ThingsExpo, Jim Hunter, Chief Scientist & Technology Evangelist at Greenwave Systems, examined three key elements that together will drive mass adoption of the IoT before the end of 2015. The first element is the recent advent of robust open source protocols (like AllJoyn and WebRTC) that facilitate M2M communication. The second is broad availability of flexible, cost-effective storage designed to handle the massive surge in back-end data in a world where timely analytics is e...
Scott Jenson leads a project called The Physical Web within the Chrome team at Google. Project members are working to take the scalability and openness of the web and use it to talk to the exponentially exploding range of smart devices. Nearly every company today working on the IoT comes up with the same basic solution: use my server and you'll be fine. But if we really believe there will be trillions of these devices, that just can't scale. We need a system that is open a scalable and by using the URL as a basic building block, we open this up and get the same resilience that the web enjoys.
We are reaching the end of the beginning with WebRTC, and real systems using this technology have begun to appear. One challenge that faces every WebRTC deployment (in some form or another) is identity management. For example, if you have an existing service – possibly built on a variety of different PaaS/SaaS offerings – and you want to add real-time communications you are faced with a challenge relating to user management, authentication, authorization, and validation. Service providers will want to use their existing identities, but these will have credentials already that are (hopefully) i...
"Matrix is an ambitious open standard and implementation that's set up to break down the fragmentation problems that exist in IP messaging and VoIP communication," explained John Woolf, Technical Evangelist at Matrix, in this SYS-CON.tv interview at @ThingsExpo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
How do APIs and IoT relate? The answer is not as simple as merely adding an API on top of a dumb device, but rather about understanding the architectural patterns for implementing an IoT fabric. There are typically two or three trends: Exposing the device to a management framework Exposing that management framework to a business centric logic Exposing that business layer and data to end users. This last trend is the IoT stack, which involves a new shift in the separation of what stuff happens, where data lives and where the interface lies. For instance, it's a mix of architectural styles ...
Cultural, regulatory, environmental, political and economic (CREPE) conditions over the past decade are creating cross-industry solution spaces that require processes and technologies from both the Internet of Things (IoT), and Data Management and Analytics (DMA). These solution spaces are evolving into Sensor Analytics Ecosystems (SAE) that represent significant new opportunities for organizations of all types. Public Utilities throughout the world, providing electricity, natural gas and water, are pursuing SmartGrid initiatives that represent one of the more mature examples of SAE. We have s...
The Internet of Things will greatly expand the opportunities for data collection and new business models driven off of that data. In her session at @ThingsExpo, Esmeralda Swartz, CMO of MetraTech, discussed how for this to be effective you not only need to have infrastructure and operational models capable of utilizing this new phenomenon, but increasingly service providers will need to convince a skeptical public to participate. Get ready to show them the money!
P2P RTC will impact the landscape of communications, shifting from traditional telephony style communications models to OTT (Over-The-Top) cloud assisted & PaaS (Platform as a Service) communication services. The P2P shift will impact many areas of our lives, from mobile communication, human interactive web services, RTC and telephony infrastructure, user federation, security and privacy implications, business costs, and scalability. In his session at @ThingsExpo, Robin Raymond, Chief Architect at Hookflash, will walk through the shifting landscape of traditional telephone and voice services ...
The Internet of Things is tied together with a thin strand that is known as time. Coincidentally, at the core of nearly all data analytics is a timestamp. When working with time series data there are a few core principles that everyone should consider, especially across datasets where time is the common boundary. In his session at Internet of @ThingsExpo, Jim Scott, Director of Enterprise Strategy & Architecture at MapR Technologies, discussed single-value, geo-spatial, and log time series data. By focusing on enterprise applications and the data center, he will use OpenTSDB as an example t...
Explosive growth in connected devices. Enormous amounts of data for collection and analysis. Critical use of data for split-second decision making and actionable information. All three are factors in making the Internet of Things a reality. Yet, any one factor would have an IT organization pondering its infrastructure strategy. How should your organization enhance its IT framework to enable an Internet of Things implementation? In his session at Internet of @ThingsExpo, James Kirkland, Chief Architect for the Internet of Things and Intelligent Systems at Red Hat, described how to revolutioniz...
Bit6 today issued a challenge to the technology community implementing Web Real Time Communication (WebRTC). To leap beyond WebRTC’s significant limitations and fully leverage its underlying value to accelerate innovation, application developers need to consider the entire communications ecosystem.
The definition of IoT is not new, in fact it’s been around for over a decade. What has changed is the public's awareness that the technology we use on a daily basis has caught up on the vision of an always on, always connected world. If you look into the details of what comprises the IoT, you’ll see that it includes everything from cloud computing, Big Data analytics, “Things,” Web communication, applications, network, storage, etc. It is essentially including everything connected online from hardware to software, or as we like to say, it’s an Internet of many different things. The difference ...
Cloud Expo 2014 TV commercials will feature @ThingsExpo, which was launched in June, 2014 at New York City's Javits Center as the largest 'Internet of Things' event in the world.
SYS-CON Events announced today that Windstream, a leading provider of advanced network and cloud communications, has been named “Silver Sponsor” of SYS-CON's 16th International Cloud Expo®, which will take place on June 9–11, 2015, at the Javits Center in New York, NY. Windstream (Nasdaq: WIN), a FORTUNE 500 and S&P 500 company, is a leading provider of advanced network communications, including cloud computing and managed services, to businesses nationwide. The company also offers broadband, phone and digital TV services to consumers primarily in rural areas.
"There is a natural synchronization between the business models, the IoT is there to support ,” explained Brendan O'Brien, Co-founder and Chief Architect of Aria Systems, in this SYS-CON.tv interview at the 15th International Cloud Expo®, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
The major cloud platforms defy a simple, side-by-side analysis. Each of the major IaaS public-cloud platforms offers their own unique strengths and functionality. Options for on-site private cloud are diverse as well, and must be designed and deployed while taking existing legacy architecture and infrastructure into account. Then the reality is that most enterprises are embarking on a hybrid cloud strategy and programs. In this Power Panel at 15th Cloud Expo (http://www.CloudComputingExpo.com), moderated by Ashar Baig, Research Director, Cloud, at Gigaom Research, Nate Gordon, Director of T...