Deep Learning Chipsets Market 2019: Industry Growth, Competitive Analysis, Future Prospects and Forecast 2024
Date: 2019-01-12   Author: Partha Ray  Category: #news

Deep Learning Chipsets Market 2019: Industry Growth, Competitive Analysis, Future Prospects and Forecast 2024

The ' Deep Learning Chipsets market' research report drafted by Market Study Report, LLC, elucidates relevant market and competitive insights as well as regional and consumer information. In a nutshell, the research study covers every pivotal aspect of this business sphere that influences the existing trends, profitability position, market share, market size, regional valuation, and business expansion plans of key players in the Deep Learning Chipsets market.

A brief gist enumerating the present status of the Deep Learning Chipsets market, this research study also elucidates other details with respect to the industry, such as a brief summary of the segmentation of the business vertical. Additionally, the Deep Learning Chipsets market size has been discussed in depth, in terms of its revenue as well as sales volume, in addition to the list of the top players vying with one another for consolidating their position in the market.

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Artificial intelligence (AI) technology is progressing at a rapid pace, as is the application of the technology to solve real-world problems. While the market for chipsets to address deep learning training and inference workloads is still a new one, the landscape is changing quickly - in the past year, more than 60 companies of all sizes have announced some sort of deep learning chipset or intellectual property (IP) design. Every prominent name in the technology industry has acknowledged the need for hardware acceleration of AI algorithms and the semiconductor industry has responded by offering a wide range of solutions.The edge computing market, where AI computation is done on the device, is expected to represent more than three-quarters of the total market opportunity, with the balance being in cloud/data center environments. Mobile phones will be a major driver of the edge market, and other prominent edge categories include automotive, smart cameras, robots, and drones.

Questions that the report answers with reference to the competitive terrain:

  • Which are the numerous companies that constitute the Deep Learning Chipsets market competitive landscape?
  • Which amidst the firms such as
    • Google
    • Intel
    • Xilinx
    • AMD
    • NVIDIA
    • ARM
    • Qualcomm
    • IBM
    • Graphcore
    • BrainChip
    • Mobileye
    • Wave Computing
    • CEVA
    • Movidius
    • Nervana Systems
    • Amazon
    • Cerebras Systems
    • Facebook
    holds the major share of the Deep Learning Chipsets market?
  • How much is the sales volume and market share that each firm accounts for, in the Deep Learning Chipsets market?
  • Who are the major rivals in Deep Learning Chipsets market?
  • What are the numerous products manufactured by every company?
  • What are the price patterns and gross margins of the Deep Learning Chipsets market contenders?

Questions that the report answers with reference to the regional landscape:

  • What are the various geographies that the regional terrain of Deep Learning Chipsets market comprises?
  • How much of the market share is procured by every region in the industry?
  • How much is the sales forecast and volume of every region in Deep Learning Chipsets market?
  • Which among the many regions – viz, United States, China, Europe, Japan, Southeast Asia & India, accounts for the major share in Deep Learning Chipsets market?
  • How much is the growth rate that each region is projected to record over the forecast duration?

Questions that the report answers with reference to the Deep Learning Chipsets market segmentation:

  • What are the myriad products that the product landscape of Deep Learning Chipsets market comprises?
  • Which one of the products among
    • CPUs
    • GPUs
    • FPGAs
    • ASICs
    • SoC Accelerators
    • Others
    accounts for the maximum market share?
  • What is the volume share that every product in Deep Learning Chipsets market holds?
  • What are the numerous applications that the Deep Learning Chipsets market is constituted of?
  • Which among the applications such as
    • Automotive
    • Smart Cameras
    • Robots
    • Drones
    • Mobile Phones
    • Others
    is slated to procure maximum market share?
  • How much is the volume share and remuneration amassed by every application in Deep Learning Chipsets market?

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The Deep Learning Chipsets market report is also inclusive of a few other pointers with reference to the influence of the technological developments on the growth of the industry and the drivers impacting the commercialization potential of this vertical. Furthermore, the myriad risks and the threats that product alternatives may pose to the industry expansion have also been enumerated in the report. Information regarding the changing inclination of consumers and the impact of the transformative dynamics of the economic and political scenario on Deep Learning Chipsets market have been elucidated in the research study. Also, the report enlists information regarding the raw material price trends, details regarding the basic principal raw material used, and the cost analysis.

For More Details On this Report: https://www.marketstudyreport.com/reports/global-deep-learning-chipsets-market-size-status-and-forecast-2019-2025

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About Author


Partha Ray

Partha Ray

Partha is into digital marketing since the last 3 years and has worked on multiple projects across various industries. An Computer Science engineer by education, he has prior experience in software development. His other interests include playing cricket & Hockey.

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