Deep learning
(DL) is a fragment of machine learning technique. It uses different layers of
linear & nonlinear information dispensation for supervised &
unsupervised sorts of transformation and extraction.It is used in developing
the new technologies for instance visual data mining and natural language
processing to improve the product offerings.
According to
study, “Global
Deep Learning Market (2018-2023)” some of the major companies associated
with global deep learning market areGoogle Inc., Qualcomm Technologies, Sensory
Inc., Graphcore, Micron Technology, Samsung Electronics, General Vision Inc.,
Intel Corporation, Xilinx Inc., Amazon
Web Services, Inc., NVIDIA Corporation, Mellanox Technologies, Microsoft
Corporation, AWS, IBM Corporation.
On the basis of
offering, the global deep learning market is segmented into software, hardware
and services. Software offering includes platform or API and solutions (SDK or
software framework). Hardware offering are further sub-segmented into memory,
processor and network. Processor includes FPGA, GPU, CPU and VPU etc. Services include
training, installation and support & maintenance. On the basis of
application, the market is segmented into data mining, image recognition, drug
discovery and recommender system and signal recognition.
On the basis of
end-user, the market is segmented into manufacturing, agriculture, automotive,
healthcare, security, retail, law, human resources, marketing and fintech. Manufacturing
services mainly includes field services, material movement, reclamation,
predictive maintenance & machinery inspection, quality control and
production planning. Automotive use is sub divided into human-machine
interface, autonomous driving and semiautonomous driving. Healthcare includes
drug discovery, precision medicine, wearable, lifestyle management &
monitoring, medical imaging & diagnostics, impatient care & hospital
management and research. Security features includes data loss prevention, identity
& access management, antivirus or antimalware, risk & compliance
management, encryption, unified threat management, firewall and disaster
recovery. Retail includes price optimization, visual search, supply chain
management & demand planning, customer relationship management, virtual
assistant and payment services management. Law includes case prediction, legal
research, eDiscovery, compliance, contract analysis, e-Billing, legal research
and knowledge management.Marketing includes search advertising, dynamic
pricing, search advertising, sales & marketing automation and website
design & emotion measurement. In addition, fintech includes customer
behavior analytics, virtual assistant and business analytics & reporting.
Some of the key
benefits include ability to generate new features without human intervention
and advanced analysis. The market is impacted by hindrances such as amount of
data, determining the training method and lack of strong theoretical
foundation.
The market of
deep learning is primarily driven by the growing use of artificial intelligence
(AI) driving factors are the customer centric services. Moreover the increasing
adoption of advanced technologies such as (big data analytics, internet of
things and cloud computing), improving computing power & declining hardware
cost and deep learning usage in big data analytics. Apart from advantages, some
of the major challenges include lack of technical expertise, increasing
complexity in hardware, deployment of DI for applications (NLP in regional
dialects) and absence of standards & protocols. Moreover, some of the new
opportunities include cumulative spending in healthcare (tourism, hospitality
industries and travel) and presence of limited structure data.
The North American
region holds largest market in terms of revenue growth followed by the Asia-Pacific
and Europe, globally. It is predicted that the security sub-segment will be
hold the largest market share of this market on account of increasing
implementation of deep learning & AI-based structures in antivirus &
anti malware solutio ns. It is
expected that the global deep learning market to reach at US$ 28.8 billion, at
a CAGR of 48.4 %, by 2023.
For more information on the research
report, refer to below link:-
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Ken Research
Ankur Gupta, Head Marketing & Communications
Sales@kenresearch.com
+91-9015378249
Ken Research
Ankur Gupta, Head Marketing & Communications
Sales@kenresearch.com
+91-9015378249
