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Deep Learning Chipset Market Size 2017 - 2022: Industry Share, Trends and Forecast - Breakdown Data by Manufacturers, Types, Application and Key Regions
The main objective of this report is to define, describe, and forecast the global “Deep Learning Chipset” market on the basis of types of applications, major sectors, deployment models, organization size, and regions. The report contains an analysis of the major factors influencing the growth of the market (drivers, restraints, opportunities, and challenges). It aims to strategically analyze the micromarkets with respect to individual growth trends, prospects, and their contribution to the market. The report attempts to forecast the market size for 5 major regions, namely, North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America. It contains key vendor profiles and comprehensively analyzes their core competencies. The report also tracks and analyzes competitive developments, including partnerships, collaborations, acquisitions, new product developments, and R&D activities in the market.
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This report studies the Deep Learning Chipset market. Deep learning technology is driving the evolution of artificial intelligence (AI) and has become one of the hottest topics of discussion within the technology world and beyond. Given the rate at which deep learning is progressing, some industry observers are predicting it will bring about a doomsday scenario, while others strive for a time when the technology can transform business processes and create new business models through scalable, more efficient automation and predictive capabilities. The current market climate is ripe for innovation in hardware in general, and chipsets more specifically.
Scope of the Report:
This report focuses on the Deep Learning Chipset in Global market, especially in North America, Europe and Asia-Pacific, South America, Middle East and Africa. This report categorizes the market based on manufacturers, regions, type and application.
Market Segment by Manufacturers, this report covers
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Graphcore
TeraDeep
Wave Computing
BrainChip
Market Segment by Regions, regional analysis covers
North America (USA, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Columbia etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others
Market Segment by Applications, can be divided into
Consumer
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others
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There are 15 Chapters to deeply display the global Deep Learning Chipset market.
Chapter 1, to describe Deep Learning Chipset Introduction, product scope, market overview, market opportunities, market risk, market driving force;
Chapter 2, to analyze the top manufacturers of Deep Learning Chipset, with sales, revenue, and price of Deep Learning Chipset, in 2016 and 2017;
Chapter 3, to display the competitive situation among the top manufacturers, with sales, revenue and market share in 2016 and 2017;
Chapter 4, to show the global market by regions, with sales, revenue and market share of Deep Learning Chipset, for each region, from 2012 to 2017;
Chapter 5, 6, 7, 8 and 9, to analyze the market by countries, by type, by application and by manufacturers, with sales, revenue and market share by key countries in these regions;
Chapter 10 and 11, to show the market by type and application, with sales market share and growth rate by type, application, from 2012 to 2017;
Chapter 12, Deep Learning Chipset market forecast, by regions, type and application, with sales and revenue, from 2017 to 2022;
Chapter 13, 14 and 15, to describe Deep Learning Chipset sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source
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