New Edition 2019: Deep Learning Chipset Market Analysis by Top Players- NVIDIA, Intel, IBM, Qualcomm, CEVA, KnuEdge, AMD, Xilinx, ARM, Google, Graphcore by 2025

The Global Deep Learning Chipset Market was valued at USD XX billion in 2017, and is expected to grow at a CAGR of over 20% by 2025. The market is growing due to rapidly developing technology and network usages for communication. The demand for Deep Learning Chipset is primarily observed in Europe and North America.

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Key Benefits of the Report:

Global, regional, country, product, application and market size and their forecast from 2019-2025

Identification and detailed analysis on key market dynamics, such as, drivers, restraints, opportunities, and challenges influencing growth of the market

Detailed analysis on industry outlook with market specific PESTLE, and supply chain to better understand the market and build expansion strategies.

Deep Learning Chipset industry report provides insights into competition pattern, advantages, and disadvantages of products, and macroeconomic policies of the market. Deep Learning Chipset market study identifies opportunities to in this competitive market circumstances and offers information for making decision and strategies that will increase the business growth. Drivers and restraints for the Deep Learning Chipset market growth are also encompassed in this study. The segmentation is done on the basis of product, region, and application.

For forecasting, regional demand & supply factors, recent investments, market dynamics including technical growth scenario, customer behavior, and industry trends and dynamics, and production capacity were taken into consideration. Different weightages have been assigned to these parameters and quantified their market impacts using the weighted average analysis to derive the market growth rate.

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The Manufacturers Analyzed in Global Deep Learning Chipset Market are –

NVIDIA, Intel, IBM, Qualcomm, CEVA, KnuEdge, AMD, Xilinx, ARM, Google, Graphcore, TeraDeep, Wave Computing, BrainChip

Major Type as follows:

Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others

Major Applications as follows:

Consumer
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others

The market estimates and forecasts have been verified through exhaustive primary research with the Key Industry Participants (KIPs), which typically include:

Manufacturers
Suppliers
Distributors
Government Body & Associations
Research Institutes

Moreover, the market is classified based on regions and countries as follows:

North America- U.S., Canada, Mexico
Europe- Germany, France, UK, Spain, Italy
Asia-Pacific- China, Japan, India, South Korea
South America- Brazil, Argentina
Middle East & Africa- Saudi Arabia, UAE, South Africa

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Partial Chapter of the Table of Content

Executive Summary

Introduction

Research Methodology

Global Deep Learning Chipset Market Overview

Market by Type

5.By Graphics Processing Units (GPUs)

5.1 Graphics Processing Units (GPUs)

5.1.1 Overview

5.1.2 Graphics Processing Units (GPUs) Market Size and Forecast

5.2 Central Processing Units (CPUs)

5.2.1 Overview

5.2.2 Central Processing Units (CPUs) Market Size and Forecast

5.3 Application Specific Integrated Circuits (ASICs)

5.3.1 Overview

5.3.2 Application Specific Integrated Circuits (ASICs) Market Size and Forecast

5.4 Field Programmable Gate Arrays (FPGAs)

5.4.1 Overview

5.4.2 Field Programmable Gate Arrays (FPGAs) Market Size and Forecast

5.5 Others

5.5.1 Overview

5.5.2 Others Market Size and Forecast

Continued…………

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