Category

Deep Learning Processor Market Size, Share, Opportunities, And Trends By Type (FPGA, ASIC, GPU, CPU, Others), By Component (Hardware, Software), By End-User Industry (BFSI, Communication And Technology, Automotive, Retail, Others) And Geography - Forecasts From 2019 To 2024

114 pages
Published on : May 2019
Report Code : KSI061611686

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Description

The deep learning processor market is projected to grow at a CAGR of XX.XX% to reach US$XX.XXX billion by 2023, from US$XX.XXX billion in 2017. Growing popularity of artificial intelligence coupled with rising expenditure on research and development activities will drive the demand for these processors. In addition, the development of autonomous driving platforms and booming demand for smartphones in developing countries will boost the demand for these processors. Geographically, Europe held a significant market share due to high research and development expenditure and growing demand for mobile electronics. North America remains one of the most attractive markets for deep learning processors.

This research study examines the current market trends related to the demand, supply, and sales, in addition to the recent developments. Major drivers, restraints, and opportunities have been covered to provide an exhaustive picture of the market. The analysis presents in-depth information regarding the development, trends, and industry policies and regulations implemented in each of the geographical regions. Further, the overall regulatory framework of the market has been exhaustively covered to offer stakeholders a better understanding of the key factors affecting the overall market environment.

Identification of key industry players in the industry and their revenue contribution to the overall business or relevant segment aligned to the study have been covered as a part of competitive intelligence done through extensive secondary research. Various studies and data published by industry associations, analyst reports, investor presentations, press releases and journals among others have been taken into consideration while conducting the secondary research. Both bottom-up and top-down approaches have been utilized to determine the market size of the overall market and key segments. The values obtained are correlated with the primary inputs of the key stakeholders in the deep learning processor value chain. The last step involves complete market engineering which includes analyzing the data from different sources and existing proprietary datasets while using various data triangulation methods for market breakdown and forecasting.

Market intelligence is presented in the form of analysis, charts, and graphics to help the clients in gaining faster and efficient understanding of the deep learning processor market.

Major industry players profiled as part of the report are NVIDIA Corporation, Intel Corporation, CEVA, Inc., Videantis GmbH, IBM Corporation, Advanced Micro Devices, Inc., and Cambricon Technologies Corporation Co., Ltd. among others.

Segmentation

The deep learning processor market has been analyzed through the following segments:

By Type

FPGA

ASIC

GPU

CPU

Others


By Component

Hardware

Software


By End-User Industry

BFSI

Communication and Technology

Automotive

Retail

Others


By Geography

North America

USA

Canada

Mexico

Others


South America

Brazil

Argentina

Others


Europe

Germany

France

United Kingdom

Spain

Others


Middle East and Africa

Saudi Arabia

Israel

Others


Asia Pacific

China

Japan

South Korea

India

Others


Target audience

Manufacturers

Suppliers

Distributors

Service Providers

Government Agencies

Research Organizations

Consultants

 

Key insights offered

What will be the deep learning processor market size from 2017 to 2023?

How are the major drivers and restraints affecting the deep learning processor market growth and the opportunities which exist for key vendors?

Which segment and region will drive or lead the market growth and why?

A comprehensive analysis of competitive landscape and key market participants’ behaviour

Key strategies being adopted by vendors, with in-depth analysis along with their impact on competition and market growth.

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