Report
Description
A recent market intelligence report that is published by Data
Insights Partner on Deep Learning Chipset Market makes an offering of in-depth analysis of segments and
sub-segments in the regional and international Deep Learning Chipset Market.
The research also emphasizes on the impact of restraints, drivers, and macro
indicators on the regional and world Deep Learning Chipset Market
over the short as well as long period of time. A detailed
presentation of forecast, trends, and dollar values of international Deep
Learning Chipset Market is offered. In
accordance with the report, the Deep Learning Chipset Market is projected to expand at a CAGR of 24.2% over the period of forecast.
Market
Insight, Drivers, Restraints & Opportunity of the Market:
Deep learning technology is driving the advancement of
the artificial intelligence and has become one of the most important topic to
be discussed in technology world. Deep learning chipset industry in the current
situation is mostly being led by the GPU or graphics processing unit & CPU
or central processing unit, but in forecast period it is expected that there
will be an comprehensive role for other types of chipset types which comprises of
ASIC or application specific integrated circuit, FPGA or field programmable
gate array & other emerging chipsets. Movie
DVDs ,Music CDs, and the web pages are adding to the world’s inventory of
digitally encrypted information for more than a decade, but in last few years
the amount of information creation has largely exploded. Signals from various
sensors in the smartphones and the industrial equipment's, digital videos and
photos, nonstop global torrent of he social media, and various other sources
combined to put us in a totally extraordinary era of the data abundance. Almost
ninety percent of digital data in current world has been produced in past two
years alone. With the increasing IoT adoption promising to connect billions of
new devices and the data streams, it’s
very much evident much more digital data is actually going to disrupt he
industry of machine learning and deep learning. Algorithms and the approaches
that currently dominates the process like reinforcement learning and deep
supervised learning — shares a very vital basic property which is to give
better results with the increment of training data it is been feeded with. The
overall performance of the algorithm typically levels off at some point, after
that feeding it with more data has very little or almost no effect. But that is
still not the scenario for most of the algorithms that are being used today. At
present time, newly build algorithms are shifting the learning from one
particular application to another application, making it easily possible to
learn from very fewer examples.
Geographically, Deep Learning
Chipset Market is segmented
into North America, Europe, Asia Pacific, Middle East, Africa and South America.
In global deep learning chipset market, North America and North American region
are seen as growth drivers in near future due to its capability of delivering
superior data fusion capability over the machine learning approach. Also, by
2019, deep learning is expected to be a critical growth driver for
best-in-class performance for fraud, demand and failure prediction. Whereas,
Asia Pacific, South America, and Middle East & Africa are the emerging
regions for deep learning chipset market offering ample and lucrative
opportunities for vendors and system integrators in the long term
Segment
Covered:
This market intelligence report on the Deep Learning
Chipset Market has been
segmented by type, compute capacity, end use industry & region. In terms of
the type, Deep Learning Chipset Market has been segregated into GPU,CPU,ASIC,FPGA and others . In
terms of the compute capacity, Deep Learning Chipset Market has been segregated into Low (<1TFlops) and High
(>1TFlops). In terms of the end use industry, Deep Learning
Chipset Market has been segregated
into consumer electronics, automotive,
industrial, healthcare, aerospace & defense and others.
While in the
recent market scenario greater market strides are seen in the robotic industry,
the difference between the human and the robot motor skill remains huge.
Machines still have to go a long way to match the human proficiency even at the
basic sensorimotor skill like grasping things. Though, by linking the learning
with the continuous feedback, there is a
scope that we might be able to bridge that gap in between, and by doing so it
is expected that it would be easier for the robots to understand the complexity
of the current world and handle the issues intelligently and reliably
Profiling
of Market Players:
This business intelligence report offers profiling of
reputed companies that are operating in the market. Companies such as NVIDIA Corporation, Intel Corporation, IBM Corporation, Qualcomm
Incorporated, CEVA Inc., Google Inc., Teradeep Inc., Xilinx, Graphcore,
Advanced Micro Devices. Contracts for design, installation, supply & agreements
was the commonly implemented strategy by the major players in the Deep
Learning Chipset Market in between 2015 to 2018 . Moreover, parameters such as Deep Learning
Chipset Market related
investment & spending and developments by major players of the market are
tracked in this global report.
Report
Highlights:
In-depth analysis of the micro and macro indicators,
market trends, and forecasts of demand is offered by this business intelligence
report. Furthermore, the report offers a vivid picture of the factors that are steering
and restraining the growth of this market across all geographical segments. In
addition to that, IGR-Growth Matrix analysis is also provided in the report so
as to share insight of the investment areas that new or existing market players
can take into consideration. Various analytical tools such as DRO analysis,
Porter's five forces analysis has been used in this report to present a clear
picture of the market. The study focuses on the present market trends and
provides market forecast from the year 2017-2027. Emerging trends that would
shape the market demand in the years to come have been highlighted in this
report. A competitive analysis in each of the geographical segments gives an
insight into market share of the global players.
Salient
Features:
Ø This study offers comprehensive yet detailed analysis of
the Deep Learning Chipset Market, size of the market (US$ Mn), and Compound Annual Growth
Rate (CAGR (%)) for the period of forecast: 2019 – 2027, taking into account 2017
as the base year
Ø It explains upcoming revenue opportunities across various
market segments and attractive matrix of investment proposition for the said
market
Ø This market intelligence report also offers pivotal insights
about various market opportunities, restraints, drivers, launch of new products,
competitive market strategies of leading market players, emerging market
trends, and regional outlook
Ø Profiling of key market players in the world Deep
Learning Chipset Market is done by
taking into account various parameters such as company strategies, distribution
strategies, product portfolio, financial performance, key developments,
geographical presence, and company overview
Ø Leading market players covered this report comprise names
such as NVIDIA Corporation, Intel Corporation, IBM
Corporation, Qualcomm Incorporated, CEVA Inc., Google Inc., Teradeep Inc.,
Xilinx, Graphcore, Advanced Micro Devices
Ø The data of this report would allow management
authorities and marketers of companies alike to take informed decision when it
comes to launch of products, government initiatives, marketing tactics and
expansion, and technical up gradation
Ø The world market for Deep Learning
Chipset Market caters to the
needs of various stakeholders pertaining to this industry, namely suppliers,
product manufacturers, investors, and distributors for Deep Learning
Chipset Market. The research
also caters to the rising needs of consulting and research firms, financial
analysts, and new market entrants
Ø Research methodologies that have been adopted for the
purpose of this study have been clearly elaborated so as to facilitate better
understanding of the reports
Ø Reports have been made based on the guidelines as
mandated by General Data Protection Regulation
Ø Ample number of examples and case studies have been taken
into consideration before coming to a conclusion
Reasons
to buy:
v Identify opportunities and plan strategies by having a
strong understanding of the investment opportunities in the Deep
Learning Chipset Market
v
Identification
of key factors driving investment opportunities in the Deep Learning
Chipset Market Facilitate
decision-making based on strong historic and forecast data
v
Position
yourself to gain the maximum advantage of the industry’s growth potential
v
Develop
strategies based on the latest regulatory events
v
Identify key
partners and business development avenues
v
Respond to
your competitors’ business structure, strategy and prospects