Deep Learning Market
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<strong>Deep</strong> <strong>Learning</strong> <strong>Market</strong>: Global Industry Analysis 2012 – 2016 and<br />
Opportunity Assessment; 2017 – 2027<br />
January 2018<br />
Report Id : REP-GB-5013<br />
Status : Ongoing<br />
Category : Electronics,<br />
Semiconductors, and ICT
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Research Methodology (1/2)<br />
<br />
Systematic Research Approach<br />
<strong>Market</strong> profiling<br />
Formulating discussion guide<br />
Developing list of respondents<br />
Data collection<br />
Data validation<br />
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Insights<br />
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©2015 Future <strong>Market</strong><br />
In-depth secondary research is<br />
used to ascertain overall<br />
market size, top industry<br />
players, top products, industry<br />
associations, etc.<br />
PMR formulates a detailed<br />
discussion guide to conduct<br />
expert and industry interviews<br />
PMR develops a list of industry<br />
players (manufacturers),<br />
distributors, retailers and<br />
industry experts<br />
PMR conducts interviews with<br />
industry experts, industry<br />
players, distributors and<br />
retailers<br />
Data is validated by<br />
triangulation method, wherein<br />
secondary, primary and PMR<br />
analysis contribute to the final<br />
data<br />
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quantitative insights about the<br />
industry<br />
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and information in the required<br />
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Data<br />
Collection<br />
Data Filter<br />
& Analysis<br />
Identifying key opinion<br />
leaders<br />
Questionnaire design<br />
In-depth interviews<br />
Coverage across value chain<br />
<strong>Market</strong> participants<br />
Key strengths<br />
Product portfolio<br />
Mapping as per value<br />
chain<br />
Key focus segments<br />
Primary<br />
Research #<br />
Linkedin<br />
Zoominfo<br />
Salesforce<br />
Avention<br />
A<br />
Primary<br />
Research<br />
Research &<br />
Intelligence<br />
C<br />
Company<br />
Analysis<br />
SOLUTION<br />
Secondary<br />
Research #<br />
Company<br />
websites<br />
Company<br />
annual reports<br />
White papers<br />
Financial<br />
reports<br />
Actionable<br />
Insights<br />
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Desk<br />
Researc<br />
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Business<br />
Solution<br />
Key industry<br />
experts<br />
Channel study<br />
Developments<br />
<strong>Market</strong><br />
dynamics<br />
Products<br />
Conclusions<br />
Paid<br />
Publications#<br />
Factiva<br />
GBI<br />
Genios<br />
Meltwater<br />
# includes sources of<br />
databases<br />
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<strong>Deep</strong> <strong>Learning</strong> <strong>Market</strong><br />
<strong>Deep</strong> learning is evolving as one of the most advanced technologies in enterprise<br />
computing. Organizations are using deep learning neural networks to obtain valuable<br />
insights from vast amounts of data to offer innovative products and improved<br />
customer experience and thereby increasing revenue opportunities for the deep<br />
learning market. The rising need for enhanced human and system interaction will be<br />
driving the growth of global deep learning market during the forecast period. As<br />
deep learning systems offer expert assistance, it will assist humans to extend their<br />
capabilities. Also, there is a rise in usage of deep learning technology across various<br />
industrial verticals such as medical, finance, automotive retail, and others. Another<br />
driving factor for this market is the robust R&D for the expansion of better<br />
processing hardware for deep learning.<br />
There is increasing demand for deep learning in fraud detection, database systems,<br />
and cyber security is driving the growth of data mining applications in deep learning<br />
market. Healthcare industries produce a huge volume of data sets related to patient<br />
details, diagnosis, etc. Thus, data mining is anticipated to witness highest growth<br />
rate in the healthcare sector in the near future.<br />
A sample of this report is available upon request @<br />
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<strong>Deep</strong> <strong>Learning</strong> <strong>Market</strong><br />
<strong>Deep</strong> <strong>Learning</strong> <strong>Market</strong>: <strong>Market</strong> Dynamics<br />
Rising necessity for hardware platforms with high computing power to execute deep<br />
learning algorithms is a driving factor of <strong>Deep</strong> <strong>Learning</strong> market<br />
Increasing complexity in hardware due to the complex algorithm in deep learning<br />
technology can hamper the growth of <strong>Deep</strong> <strong>Learning</strong> market.<br />
Growing usage of deep learning in data analytics and database systems growth<br />
opportunities for <strong>Deep</strong> <strong>Learning</strong> <strong>Market</strong>.
<strong>Deep</strong> <strong>Learning</strong> <strong>Market</strong><br />
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Global <strong>Deep</strong> <strong>Learning</strong> <strong>Market</strong>: Competition Landscape<br />
Few prominent players in <strong>Deep</strong> <strong>Learning</strong> market includeGoogle Inc., Microsoft<br />
Corporation, Qualcomm Technologies, Inc., IBM Corporation, Intel Corporation,<br />
General Vision Inc. and NVIDIA Corporation, etc.<br />
<strong>Deep</strong> <strong>Learning</strong> <strong>Market</strong>: Regional Outlook<br />
North America is prominent and holds the largest share in the deep learning market<br />
and is estimated to be in the leading position owing to the widespread adoption of<br />
deep learning technology. There is high growth of deep learning market in North<br />
America due to the presence of prominent players in the region that offers deep<br />
learning services and hardware such as IBM Corporation, Qualcomm Technologies,<br />
Inc. and Intel Corporation, etc. Latin America and MEA are expected to contribute<br />
significantly over the forecast period.<br />
To view TOC of this report is available upon request @<br />
https://www.futuremarketinsights.com/toc/rep-gb-5013
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