Microsoft Cloud Authors: Elizabeth White, Yeshim Deniz, Serafima Al, Janakiram MSV, John Katrick

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)

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 Improving Customer and Operations Insights Predictive Maintenance Optimization 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 Usage of Advanced Analytics to Answer Strategic Questions Customer Feedback and Online Marketing Need for Faster Response Systems Safe Delivery of Products to Clients Opportunity to Open New Channel Programs Internet of Things and Machine to Machine (M2M) to Help Digital Manufacturing and Digital Services Supply Chain Visibility Improvement
4.1.2 Market Restraints Data Growth Not Being Matched by Hardware and Storage Capabilities Concern for Strong Security Features in Big Data Systems Complex Framework Leads to Performance Issues
4.1.3 Market Opportunities Availability of Funding on a Wider Scale 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 Overview and SCM Problems Solution and Benefits
5.2.2 IBM andKramm Groep Overview and SCM Problems Solution and Benefits
5.2.3 IBM and Andrews Distributing Overview and SCM Problem Solution and Benefits
5.2.4 IBM and Sudzucker Overview and SCM Problem Solution and Benefits
5.2.5 IBM and FedeFarma Overview and SCM Problem Solution and Benefits
5.2.6 IBM and Cheesecake factory
5.3 Telogis
5.3.1 Telogis and Pro's Ranch Market Overview and SCM Problems Solution and Benefits
5.3.2 Telogis and ITL Overview and SCM Problems Solution and Benefits
5.3.3 Telogis and Supershuttle Overview and SCM Problems Solution and Benefits
5.4 LeanLogistics
5.4.1 LeanLogistics and Dannon Overview and SCM Problems Solution and Benefits
5.4.2 LeanLogistics and Ace Hardware Overview and SCM Problems Solution and Benefits
5.4.3 LeanLogistics and MTD Products Overview and SCM Problems Solution and Benefits
5.5 Teradata
5.5.1 Teradata Aster and Supervalu Overview and SCM Problems Solution and Benefits
5.5.2 Teradata and Norfolk Southern Railway Company Overview and SCM Problems 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)

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
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addr...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Business professionals no longer wonder if they'll migrate to the cloud; it's now a matter of when. The cloud environment has proved to be a major force in transitioning to an agile business model that enables quick decisions and fast implementation that solidify customer relationships. And when the cloud is combined with the power of cognitive computing, it drives innovation and transformation that achieves astounding competitive advantage.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
The IoT Will Grow: In what might be the most obvious prediction of the decade, the IoT will continue to expand next year, with more and more devices coming online every single day. What isn’t so obvious about this prediction: where that growth will occur. The retail, healthcare, and industrial/supply chain industries will likely see the greatest growth. Forrester Research has predicted the IoT will become “the backbone” of customer value as it continues to grow. It is no surprise that retail is ...
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 settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
The best way to leverage your Cloud Expo presence as a sponsor and exhibitor is to plan your news announcements around our events. The press covering Cloud Expo and @ThingsExpo will have access to these releases and will amplify your news announcements. More than two dozen Cloud companies either set deals at our shows or have announced their mergers and acquisitions at Cloud Expo. Product announcements during our show provide your company with the most reach through our targeted audiences.
DevOpsSummit New York 2018, colocated with CloudEXPO | DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City. Digital Transformation (DX) is a major focus with the introduction of DXWorldEXPO within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of bus...
With 10 simultaneous tracks, keynotes, general sessions and targeted breakout classes, @CloudEXPO and DXWorldEXPO are two of the most important technology events of the year. Since its launch over eight years ago, @CloudEXPO and DXWorldEXPO have presented a rock star faculty as well as showcased hundreds of sponsors and exhibitors! In this blog post, we provide 7 tips on how, as part of our world-class faculty, you can deliver one of the most popular sessions at our events. But before reading...
DXWorldEXPO LLC announced today that "Miami Blockchain Event by FinTechEXPO" has announced that its Call for Papers is now open. The two-day event will present 20 top Blockchain experts. All speaking inquiries which covers the following information can be submitted by email to [email protected] Financial enterprises in New York City, London, Singapore, and other world financial capitals are embracing a new generation of smart, automated FinTech that eliminates many cumbersome, slow, and expe...
Cloud Expo | DXWorld Expo have announced the conference tracks for Cloud Expo 2018. Cloud Expo will be held June 5-7, 2018, at the Javits Center in New York City, and November 6-8, 2018, at the Santa Clara Convention Center, Santa Clara, CA. Digital Transformation (DX) is a major focus with the introduction of DX Expo within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive ov...
DXWordEXPO New York 2018, colocated with CloudEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.
DXWorldEXPO LLC announced today that ICOHOLDER named "Media Sponsor" of Miami Blockchain Event by FinTechEXPO. ICOHOLDER give you detailed information and help the community to invest in the trusty projects. Miami Blockchain Event by FinTechEXPO has opened its Call for Papers. The two-day event will present 20 top Blockchain experts. All speaking inquiries which covers the following information can be submitted by email to [email protected] Miami Blockchain Event by FinTechEXPO also offers s...
DXWorldEXPO | CloudEXPO are the world's most influential, independent events where Cloud Computing was coined and where technology buyers and vendors meet to experience and discuss the big picture of Digital Transformation and all of the strategies, tactics, and tools they need to realize their goals. Sponsors of DXWorldEXPO | CloudEXPO benefit from unmatched branding, profile building and lead generation opportunities.
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
Widespread fragmentation is stalling the growth of the IIoT and making it difficult for partners to work together. The number of software platforms, apps, hardware and connectivity standards is creating paralysis among businesses that are afraid of being locked into a solution. EdgeX Foundry is unifying the community around a common IoT edge framework and an ecosystem of interoperable components.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Cloud-enabled transformation has evolved from cost saving measure to business innovation strategy -- one that combines the cloud with cognitive capabilities to drive market disruption. Learn how you can achieve the insight and agility you need to gain a competitive advantage. Industry-acclaimed CTO and cloud expert, Shankar Kalyana presents. Only the most exceptional IBMers are appointed with the rare distinction of IBM Fellow, the highest technical honor in the company. Shankar has also receive...