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.
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:
Amazon Web Services
Bosch Software Innovations GmBH
Computer Sciences Corp. (CSC)
Managed Service Solutions
Pivotal Software Inc
Qlik Tech International
Silicon Graphics International Corp. (SGI)
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.
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.
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