Showing posts with label Deep Learning Chipset. Show all posts
Showing posts with label Deep Learning Chipset. Show all posts

Tuesday, 5 March 2019

Global Deep Learning Chipset Market Potential Competition By Players/Suppliers With Rising Growth: IBM Corporation, Graphcore Ltd, NVIDIA Corporation and Intel Corporation

Researchmoz added Most up-to-date research on "Global Deep Learning Chipset Market Potential Competition By Players/Suppliers With Rising Growth: IBM Corporation, Graphcore Ltd, NVIDIA Corporation and Intel Corporation" to its huge collection of research reports.

Global Deep Learning Chipset market report provides analysis for the period 2015 – 2025, wherein the period from 2017 to 2025 is the forecast and 2016 is the base year. The data for 2015 has been included as historical information. The Deep Learning Chipset report covers all the major types, computing capacity and end-users playing significant role in the global Deep Learning Chipset market’s growth over the forecast period. The report also include various drivers, restraints, and opportunities expected which affect market’s growth during the above mention period. The study provides an entire perspective on the market’s growth in terms of revenue in US$ Mn and volume in Mn units, across different geographical regions such as Asia Pacific, North America, Middle East & Africa, Europe, and South America.
Global Deep Learning Chipset Market: Key Research Aspects
The market overview section of the report demonstrates the market dynamics such as the drivers, restraints, and opportunities that influence the current nature and future status of this market, key indicators and trends. An attractiveness analysis has also been provided for every segment in the report, in order to provide a detailed understanding of the overall scenario in the Deep Learning Chipset market. Moreover, the report provides an overview of various marketing strategies adopted by the key players present in the market. Key market indicators also been included in the report providing significance of the factors that are capable of changing the market scenario. These indicators are expected to define the market position during the forecast period.


The report also highlights the competitive landscape of the global Deep Learning Chipset market, thereby positioning all the major players according to their presence in different regions of the world and recent key developments initiated by them in the market. The comprehensive global Deep Learning Chipset market estimates are the result of our in-depth secondary research, primary interviews, and in-house expert panel reviews. These market estimates have been analyzed by taking into account the impact of different political, social, economic, technological, and legal factors along with the current market dynamics that affect global Deep Learning Chipset market growth. This report provides all the essential information required to understand the key developments in the Deep Learning Chipset market, growth trend of each segment and companies strategies to efficiently compete into the market. Also, the report provides insights related to trends and its impact on the market.
Global Deep Learning Chipset Market: Segmentations
Global Deep Learning Chipset market is bifurcated by type, by Compute Capacity, by end-user and by region. By compute capacity, the market is further segmented into Graphics Processing Units (GPUs), Central Processing Units (CPUs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) and others. By Compute Capacity, Deep Learning Chipset can segmented into Low (<1TFlops) and High (>1 TFlops). By end-user, Deep Learning Chipset market is bifurcated as Consumer Electronics, Automotive, Industrial, Healthcare, Aerospace & Defense and Others.


Global Deep Learning Chipset Market: Competition Analysis
The report also includes competition landscape which includes competition matrix and market share analysis of major players in the global large format display market based on their 2016 revenues and profiles of major players. Competition matrix benchmarks leading players on the basis of their capabilities and potential to grow. Factors including market position, offerings and R&D focus are attributed to company’s capabilities. Factors including top line growth, market share, segment growth, infrastructure facilities and future outlook are attributed to company’s potential to grow.
The prominent players in the Deep Learning Chipset market includes IBM Corporation, Graphcore Ltd, CEVA Inc., Advanced Micro Devices Inc., NVIDIA Corporation, Intel Corporation, XILINX Incorporated, TeraDeep Inc., Qualcomm Incorporated and Alphabet Inc.
Market Segmentation
Global Deep Learning Chipset Market, by Type
  • Graphics Processing Units (GPUs)
  • Central Processing Units (CPUs)
  • Application Specific Integrated Circuits (ASICs)
  • Field Programmable Gate Arrays (FPGAs)
  •  Others
Global Deep Learning Chipset Market, by Compute Capacity
  • Low (<1TFlops)
  • High (>1 TFlops)
 Global Deep Learning Chipset Market, by End-User
  • Consumer Electronics,
  • Automotive,
  •  Industrial,
  •  Healthcare,
  • Aerospace & Defense
  • Others
Global Deep Learning Chipset Market, by Geography
  • North America
    • The U.S.
    • Canada
    • Rest of North America
  • Europe
    • U.K.
    • Germany
    • France
    • Rest of Europe
  • Asia Pacific (APAC)
    • Japan
    • China
    • India
    • South Korea
    • Rest of APAC
  • Middle East and Africa (MEA)
    • GCC
    • South Africa
    • Rest of MEA
  • South America
    • Brazil
    • Rest of South America

Sunday, 11 February 2018

Global Deep Learning Chipset Market Segmented On The Basis Of Type, Application, And Region - Trends and Forecast Till 2025

Researchmoz added Most up-to-date research on "Global Deep Learning Chipset Market Segmented On The Basis Of Type, Application, And Region - Trends and Forecast Till 2025" to its huge collection of research reports.

Deep learning chipset is a part of machine learning methods. It is grounded in the multilayer neural network and is the foundation of real time streaming analytics, cognitive computing, and artificial intelligence. Deep learning constructions such as recurrent neural networks, deep neural networks is applied to the fields which includes natural language processing, machine translation, and others.

Embedding and widespread adoption of deep-learning technology is dependent on the continued miniaturization and commoditization of low-cost hardware technologies that accelerates algorithmic processing. The technology is further anticipated to gain importance among researchers and key players for its application in artificial intelligence capabilities in computer vision areas, natural language processing, and speech & image recognition. Solution providers are resorting to collaborations and partnerships to enter the deep learning market and gain competitive edge over the other players.

The deep learning chipset technology drives the progress of the artificial intelligence. Immediate improvement in parallelization, high computing power, and efficient information storage capacity have contributed to the deep learning technology in industries such as healthcare and automotive. Some industry experts predict that technology can built new business designs through efficient predictive capabilities and can transform business processes. The increasing importance of GPUs applications is leading to increased adoption of the technology in scientific disciplines such as data science and deep learning which is expected to boost the market growth.

To Get Sample Copy of Report visit @ https://www.researchmoz.us/enquiry.php?type=S&repid=1434633

Significant improvements in advancements in deep learning chipsets and machine learning algorithms are driving the market growth. However when compared to field programmable gate arrays, lack of the ability to accommodate hardware changes as neural networks and algorithms evolve, high power consumption lead to fall in the market growth. However deep learning chipset is also expected to show higher penetrate rate as the intelligence that is driving a new generation of wearable that would help disabled people to hear, see, and sense their surroundings. The technology is expected to find its way into devices such as microphones, incorporate embedded cameras, and Internet of Things resulting into the further growth of the market during the forecast period.

The deep learning chipset market is segmented on the basis of type, application, and region. On the basis of type, the market is segmented into application specific integrated circuits, graphics processing units, central processing units, and field programmable gate arrays. The deep learning chipset market is led by graphics processing units. The importance of graphic processing units has gone up with the emergence of deep learning, while training it was found that GPUs are faster than CPUs. On the basis of Application is the global market is segmented into aerospace, military & defense, automotive, consumer, industrial, medical and others.

In healthcare, deep learning chipset is applied to analyze medical images. This is an area where deep learning chipset is used on medical images for automated tumor detection. In the automotive industry deep learning chipset based on neural network computing, unassisted cloud-based crowd learning and parallel processing are driving key innovations. Its application areas include speech recognition and machine vision and both have huge relevance for automotive. Geographically deep learning chipset market is segmented into Europe, North America, South America, Middle East & Africa, and Asia-Pacific. The deep learning chipset market in North America is expected to expand at highest growth rate. North America is acquiring deep learning technology within the organizations for safeguarding content from data breaches, piracy, web and severe data losses, cyber-attacks, and network threat security.

Some of the key players in the deep learning chipset market are Intel Corporation, NVIDIA Corporation, IBM Computer Manufacturing Company, Qualcomm Technologies, Inc., Advanced Micro Devices, Inc., XILINX INC., Arm Limited, Google LLC, GRAPHCORE, TeraDeep Inc., Wave Computing, and BrainChip Holdings Ltd. among others.

Browse TOC @ https://www.researchmoz.us/deep-learning-chipset-market-global-industry-analysis-size-share-growth-trends-and-forecast-2017-2025-report.html#table-of-content

The report offers a comprehensive evaluation of the market. It does so via in-depth qualitative insights, historical data, and verifiable projections about market size. The projections featured in the report have been derived using proven research methodologies and assumptions. By doing so, the research report serves as a repository of analysis and information for every facet of the market, including but not limited to: Regional markets, technology, types, and applications.

The study is a source of reliable data on:
  • Market segments and sub-segments
  • Market trends and dynamics
  • Supply and demand
  • Market size
  • Current trends/opportunities/challenges
  • Competitive landscape
  • Technological breakthroughs
  • Value chain and stakeholder analysis
The regional analysis covers:
  • North America (U.S. and Canada)
  • Latin America (Mexico, Brazil, Peru, Chile, and others)
  • Western Europe (Germany, U.K., France, Spain, Italy, Nordic countries, Belgium, Netherlands, and Luxembourg)
  • Eastern Europe (Poland and Russia)
  • Asia Pacific (China, India, Japan, ASEAN, Australia, and New Zealand)
  • Middle East and Africa (GCC, Southern Africa, and North Africa)
The report has been compiled through extensive primary research (through interviews, surveys, and observations of seasoned analysts) and secondary research (which entails reputable paid sources, trade journals, and industry body databases). The report also features a complete qualitative and quantitative assessment by analyzing data gathered from industry analysts and market participants across key points in the industry’s value chain.

A separate analysis of prevailing trends in the parent market, macro- and micro-economic indicators, and regulations and mandates is included under the purview of the study. By doing so, the report projects the attractiveness of each major segment over the forecast period.

Highlights of the report:
  • A complete backdrop analysis, which includes an assessment of the parent market
  • Important changes in market dynamics
  • Market segmentation up to the second or third level
  • Historical, current, and projected size of the market from the standpoint of both value and volume
  • Reporting and evaluation of recent industry developments
  • Market shares and strategies of key players
  • Emerging niche segments and regional markets
  • An objective assessment of the trajectory of the market
  • Recommendations to companies for strengthening their foothold in the market