Deep Learning Chipsets Market Analysis- Size, Share, Growth, Forecast, Segment, Application Analysis To 2025

QY Research Groups has announced the addition of “Global Deep Learning Chipsets Market Size, Status and Forecast 2019-2025” Market Research report to their database.

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.

TOP MOST PLAYERS:

  • Google
  • Intel
  • Xilinx
  • AMD
  • NVIDIA
  • ARM
  • Qualcomm
  • IBM
  • Graphcore
  • BrainChip
  • Mobileye
  • Wave Computing
  • CEVA
  • Movidius
  • Nervana Systems
  • Amazon
  • Cerebras Systems
  • Facebook

Worldwide Deep Learning Chipsets Market 2019 research report conveys industry business patterns and the undertaking information, tolerating one to grasp clients and the stock driving gainfulness and yield development. The report highlights information on improvements and Global Deep Learning Chipsets market trends, drivers, revenue and furthermore available. The market report pulls in the most peculiar bits of knowledge of this business additionally makes Deep Learning Chipsets forecast that is important out there. It accompanies estimations concerning the Deep Learning Chipsets advancement, subordinate and draws in the distinguishing proof of their industry status.

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The report on “Global Deep Learning Chipsets Market” is a professional report which provides thorough knowledge along with complete information pertaining to the Deep Learning Chipsets industry a propos classifications, definitions, applications, industry chain summary, industry policies in addition to plans, product specifications, manufacturing processes, cost structures, etc.

Market segment by Type, the product can be split into

  • CPUs
  • GPUs
  • FPGAs
  • ASICs
  • SoC Accelerators
  • Others

Market segment by Application, split into

  • Automotive
  • Smart Cameras
  • Robots
  • Drones
  • Mobile Phones
  • Others

Market segment by Regions/Countries, this report covers

  • United States
  • Europe
  • China
  • Japan
  • Southeast Asia
  • India
  • Central & South America

The potential of this industry segment has been rigorously investigated in conjunction with primary market challenges. The present market condition and future prospects of the segment has also been examined. Moreover, key strategies in the market that includes product developments, partnerships, mergers and acquisitions, etc., are discussed. Besides, upstream raw materials and equipment and downstream demand analysis is also conducted.

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Report Includes:-

The report cloaks the market analysis and projection of “Deep Learning Chipsets Market” on a regional as well as global level. The report constitutes qualitative and quantitative valuation by industry analysts, first-hand data, assistance from industry experts along with their most recent verbatim and each industry manufacturers via the market value chain.

The research experts have additionally assessed the in general sales and revenue generation of this particular market. In addition, this report also delivers widespread analysis of root market trends, several governing elements and macro-economic indicators, coupled with market improvements as per every segment.

The study objectives of this report are:

To analyze global Deep Learning Chipsets status, future forecast, growth opportunity, key market and key players.

To present the Deep Learning Chipsets development in United States, Europe and China.

To strategically profile the key players and comprehensively analyze their development plan and strategies.

To define, describe and forecast the market by product type, market and key regions.

FEATURES OF THE REPORT:

  1. The analysis of Deep Learning Chipsets market, their Growth, Demand, position, size and share from different regions are mentioned in detailed.
  2. The key players in the market and their share in the global market are discussed.
  3. The new strategic plan and suggestions that will help old as well as new market players to maintain the competitiveness are also discussed.
  4. The Deep Learning Chipsets market report provides some important points related to growth factors, challenges, opportunities, end-user analysis and achievement and so on.

Continued…

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