As the global economy recovers in 2021 and the supply of the industrial chain improves, the Deep Learning Chipset market will undergo major changes. According to the latest research, the market size of the Deep Learning Chipset industry in 2021 will increase by USD million compared to 2020, with a growth rate of %.

The global Deep Learning Chipset industry report provides top-notch qualitative and quantitative information including: Market size (2017-2021 value and 2022 forecast). The report also contains descriptions of key players, including key financial indicators and market competitive pressure analysis.

The report also assesses key opportunities in the market and outlines the factors that are and will drive the growth of the industry. Taking into account previous growth patterns, growth drivers, and current and future trends, we also forecast the overall growth of the global Deep Learning Chipset market during the next few years. The global Deep Learning Chipset market size will reach USD million in 2028, growing at a CAGR of % during the analysis period.

Highlights-Regions

The Deep Learning Chipset market can be split based on product types, major applications, and important regions as follows:

North America
Europe
China
Japan
Southeast Asia
India
Korea

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

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

Application list
Consumer
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others