Deep Learning Market to touch US$ 18 Billion by 2024
New York, November 19,
2018: Deep Learning is a subfield of machine
learning concerned with algorithms inspired by the structure and function of
the brain called artificial neural networks.
The
Deep Learning Market is expected to exceed more than US$ 18 Billion by 2024 at
a CAGR of 42% in the given forecast period.
Browse
Full Report: https://www.marketresearchengine.com/deep-learning-market
The
report covers detailed competitive outlook including the market share and
company profiles of the key participants operating in the global market. Key
players profiled in the report include IBM Corporation, Microsoft Corporation,
Google Inc., Intel Corporation, Hewlett Packard. Company profile includes
assign such as company summary, financial summary, business strategy and
planning, SWOT analysis and current developments.
The
scope of the report includes a detailed study of Deep Learning Market with
the reasons given for variations in the growth of the industry in certain
regions.
- Introduction of latest hardware for deep learning applications
- Improvement in deep learning algorithms
- Increased penetration in huge information analytics
The
major restraining factors of Deep Learning Market are as follows:
- Measurability of deep learning models
- Requirement of huge amount of training data for recognition
This
report provides:
1)
An overview of the global market for Deep Learning Market and related
technologies.
2) Analyses of global market trends, with data from 2015, estimates for 2016 and 2017, and projections of compound annual growth rates (CAGRs) through 2024.
3) Identifications of new market opportunities and targeted promotional plans for Deep Learning Market
2) Analyses of global market trends, with data from 2015, estimates for 2016 and 2017, and projections of compound annual growth rates (CAGRs) through 2024.
3) Identifications of new market opportunities and targeted promotional plans for Deep Learning Market
4)
Discussion of research and development, and the demand for new products and new
applications.
5) Comprehensive company profiles of major players in the industry.
5) Comprehensive company profiles of major players in the industry.
The Deep Learning Market is segmented on the Basis
of End-User Type, Application Type, Solution Type and Regional Analysis. By
End-User Type this market is segmented on the basis of Automotive, Aerospace & defense, Healthcare, Manufacturing and Others.
By Application Type this market is segmented on the
basis of Image
recognition, Voice recognition, Video surveillance & diagnostics and Data mining. By Solution Type this market is segmented on
the basis of Hardware, Software
and Service. Service
is
segmented into Installation services, Integration services and Maintenance
& support services. By Regional Analysis this market is segmented on the
basis of North America, Europe, Asia Pacific, Latin America, Middle East and
Africa.
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Sample Report from here: https://www.marketresearchengine.com/deep-learning-market
Table of Contents
1.
Introduction 2. Research Methodology
3. Summary with Insights
4. Market Overview
5. Deep Learning Market Analysis, By Application
6. Deep Learning Market Analysis, By End-User
6.1 Automotive
6.2 Aerospace & defense
6.3 Healthcare
6.4 Manufacturing
6.5 Others
7. Deep Learning Market Analysis, By Solution
7.1 Hardware
7.2 Software
7.3 Service
7.3.1 Installation services
7.3.2 Integration services
7.3.3 Maintenance & support services
8. Deep Learning Market Analysis, By Region
9. Competitive Overview
10. Company Profiles
10.1 Advanced Micro Devices, Inc.
10.2 Arm Ltd.
10.3 Baidu Inc.
10.4 Clairifai Inc.
10.5 Enlitic
10.6 General Vision Inc.
10.7 Google Inc.
10.8 Hewlett Packard
10.9 IBM Corporation
10.10 Intel Corporation
10.11 Microsoft Corporation
10.12 Nvidia Corporation
10.13 Qualcomm Technologies Inc.
10.14 Sensory Inc.
10.15 Skymind
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North America Data Center Accelerator Market – Executive Data Forecast Report By 2024
Europe Data Center Accelerator Market – Executive Data Forecast Report By 2024
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Contact Person:
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Email:
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Phone: +1-855-984-1862
Country: United States
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