Machine Learning, especially Deep Learning technology is driving the evolution of artificial intelligence (AI). At the beginning, deep learning has primarily been a software play. Start from the year 2016, the need for more efficient hardware acceleration of AI/ML/DL was recognized in academia and industry. This year, we saw more and more players, including worlds top semiconductor companies as well as a number of startups, even tech giants Google, have jumped into the race.
This report elaborates the market size, market characteristics, and market growth of the Deep Learning Chipset industry, and breaks down according to the type, application, and consumption area of Deep Learning Chipset. The report also conducted a PESTEL analysis of the industry to study the main influencing factors and entry barriers of the industry.
In Chapter 3.4 of the report, the impact of the COVID-19 outbreak on the industry was fully assessed. Fully risk assessment and industry recommendations were made for Deep Learning Chipset in a special period. This chapter also compares the markets of Pre COVID-19 and Post COVID-19.
In addition, chapters 8-12 consider the impact of COVID-19 on the regional economy.
Key players in the global Deep Learning Chipset market covered in Chapter 13:
In Chapter 6, on the basis of types, the Deep Learning Chipset market from 2015 to 2025 is primarily split into:
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
In Chapter 7, on the basis of applications, the Deep Learning Chipset market from 2015 to 2025 covers:
Aerospace & Defense
Geographically, the detailed analysis of production, trade of the following countries is covered in Chapter 4.2, 5:
Geographically, the detailed analysis of consumption, revenue, market share and growth rate of the following regions are covered in Chapter 8, 9, 10, 11, 12:
North America (Covered in Chapter 8)
Europe (Covered in Chapter 9)
Asia-Pacific (Covered in Chapter 10)
Middle East and Africa (Covered in Chapter 11)
South America (Covered in Chapter 12)
Years considered for this report:
Historical Years: 2015-2019
Base Year: 2019
Estimated Year: 2020
Forecast Period: 2020-2025