Summary
According to 99Strategy, the Global Deep Learning Chipset Market is estimated to reach xxx million USD in 2020 and projected to grow at the CAGR of xx% during the 2021-2026. The report analyses the global Deep Learning Chipset market, the market size and growth, as well as the major market participants.
The analysis includes market size, upstream situation, market segmentation, market segmentation, price & cost and industry environment. In addition, the report outlines the factors driving industry growth and the description of market channels.The report begins from overview of industrial chain structure, and describes the upstream. Besides, the report analyses market size and forecast in different geographies, type and end-use segment, in addition, the report introduces market competition overview among the major companies and companies profiles, besides, market price and channel features are covered in the report.
Key Regions
Asia Pacific
North America
Europe
South America
Middle East & Africa
Key Companies
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Google
Graphcore
TeraDeep
Wave Computing
BrainChip
Key Product Type
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others
Market by Application
Consumer
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others
Main Aspects covered in the Report
Overview of the Deep Learning Chipset market including production, consumption, status & forecast and market growth
2016-2020 historical data and 2021-2026 market forecast
Geographical analysis including major countries
Overview the product type market including development
Overview the end-user market including development
Impact of Coronavirus on the Industry