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Big Data in Manufacturing: Key Trends, Opportunities and Market Forecasts 2015 - 2020

Big Data in Manufacturing: Key Trends, Opportunities and Market Forecasts 2015 - 2020

The manufacturing industry is rapidly transforming as technology, competition, and the evolving demands of global consumers dictate the need for continuously improving efficiencies and flexibility. Significant impact from ICT include machine communications, teleoperation, and integration with the Internet of Things (IoT). It is anticipated that machine data will represent up to 8 Zeta bytes by 2020, representing both a huge challenge and opportunity for the industry.

This research evaluates how Big Data is helping manufacturing sector to design new business models, revamp operational process, and facilitate cost effective supply chain solutions. The report provides key observations identified during the research, which provides information about perception and expectations of Big Data solutions in manufacturing.

The report includes forecasts and quantitative data for Big Data in Manufacturing by sector, segment and region through 2020. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Target Audience:

Big Data companies
Telecom service providers
Big Data application developers
Data services and analytics companies
Cloud and telecom infrastructure providers
Manufacturers and everyone in the supply chain

Companies in Report:

1010Data Inc.
3Sixty Analytics
Actian Corporation
Amazon Web Services
Bosch Software Innovations GmBH
Cisco
Cloudera Inc.
Cloudwick Inc.
Computer Sciences Corp. (CSC)
CRAY Inc.
Dell
EMC Corporation
GAVS Technologies
Hortonworks Inc.
HP
IBM Corp.
Imperva
Infobright
Information Builder
JasperSoft
Managed Service Solutions
MapR
Microsoft
MongoDB
Oracle
Pentaho Corp.
Pivotal Software Inc
Protegrity
PSSC Labs
Qlik Tech International
Rackspace
SAP
SAS
Silicon Graphics International Corp. (SGI)
snapLogic Inc.
SyncSort
Talend
Teradata Corporation
Vormetric
Zettaset

General Methodology

Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.

We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.

In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.

We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.

We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.

Forecasting Methodology

Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.

Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.

Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.


1 Introduction
1.1 Research Scope
1.2 Research Methodology
1.3 Target Audience
1.4 Companies Mentioned in this Report
2 Summary
3 Overview
3.1 Role of Big Data in Modern Manufacturing
3.2 Big Data and Analytics Framework for Manufacturing
3.2.1 Big Data Infrastructure
3.2.2 Big Data Management
3.2.3 Big Data Integration
3.2.4 Big Data Analysis
3.3 Market Potential for Big Data in Manufacturing will increase through 2020
4 Big Data Solutions in Manufacturing
4.1 Hardware Infrastructure
4.1.1 Servers / Data Computing Appliance
4.1.2 Sensors and Actuators
4.2 Software and Platforms
4.2.1 Big Data Integration Platform
4.2.2 Connectors for Hadoop
4.2.3 Big Data Analytics Platforms and Tools
4.3 Big Data Security Software
4.4 Managed Services for Big Data
5 Global Markets and Forecasts 2015 – 2020
5.1 Industrial Internet of Things to increase scope for Big Data in Manufacturing
5.2 Connected Factory
5.3 Scope for Big Data in IIoT for Manufacturing
5.4 Manufacturing Sector to Generate 11.3 Zettabytes of Data by 2020
5.5 Big Data Market in Manufacturing 2015 - 2020
5.5.1 Big Data in Manufacturing by Region 2015 - 2020
5.5.2 Big Data in Manufacturing by Products/Service Offering 2015 - 2020
6 Company Profiles
6.1 1010Data Inc.
6.2 3Sixty Analytics
6.3 Actian Corporation
6.4 Amazon Web Services
6.5 Bosch Software Innovations GmBH
6.6 Cisco
6.7 Cloudera Inc.
6.8 Cloudwick Inc.
6.9 Computer Sciences Corp. (CSC)
6.10 CRAY Inc.
6.11 Dell Software
6.12 EMC Corporation
6.13 HP
6.14 Hortonworks Inc.
6.15 MongoDB
6.16 Oracle Corporation
6.17 Pivotal Software Inc
6.18 PSSC Labs
6.19 Silicon Graphics International Corp. (SGI)
6.20 Teradata Corporation
6.21 TIBCO JasperSoft
Figures
Figure 1: Markets for Big Data in Manufacturing 2015 - 2020
Figure 2: Big Data and Analytics Framework for Manufacturing
Figure 3: IIoT Deployment in Manufacturing 2015 - 2020
Figure 4: Data Generation in Manufacturing 2013 - 2020
Figure 5: Total Big Data Market vs. Big Data in Manufacturing 2015 - 2020
Figure 6: Regional Markets for Big Data in Manufacturing 2015 – 2020
Figure 7: Big Data in Manufacturing by Products / Services 2015 - 2020
Tables
Table 1: Market for Big Data in Manufacturing 2015 – 2020
Table 2: Key Trends in Big Data in Manufacturing
Table 3: Tips for Manufacturers on Big Data Investments
Table 4: Servers and Data Computing Appliances offered by various Companies
Table 5: Data Integration Solutions offered by Various Companies
Table 6: Data Connectors offered by Various Companies
Table 7: Analytics Platform offered by Various Companies
Table 8: Big Data Security Software offered by Various Companies
Table 9: Big Data Managed Services offered by Various Companies
Table 10: IIoT Deployment in Manufacturing
Table 11: Data Generation in Manufacturing 2013 - 2020
Table 12: Global Markets for Big Data in Manufacturing 2015 – 2020
Table 13: Regional Markets for Big Data in Manufacturing 2015 – 2020
Table 14: Big Data in Manufacturing by Products / Services 2015 - 2020

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