Artificial intelligence (AI) technology is progressing at a rapid pace, as is the application of the technology to solve real-world problems. While the market for chipsets to address deep learning training and inference workloads is still a new one, the landscape is changing quickly - in the past year, more than 60 companies of all sizes have announced some sort of deep learning chipset or intellectual property (IP) design. Every prominent name in the technology industry has acknowledged the need for hardware acceleration of AI algorithms and the semiconductor industry has responded by offering a wide range of solutions.
The edge computing market, where AI computation is done on the device, is expected to represent more than three-quarters of the total market opportunity, with the balance being in cloud/data center environments. Mobile phones will be a major driver of the edge market, and other prominent edge categories include automotive, smart cameras, robots, and drones.
In 2018, the global Deep Learning Chipsets market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.
This report focuses on the global Deep Learning Chipsets status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Deep Learning Chipsets development in United States, Europe and China.
The key players covered in this study
Market segment by Type, the product can be split into
Market segment by Application, split into
Market segment by Regions/Countries, this report covers
Central & South America
The study objectives of this report are:
To analyze global Deep Learning Chipsets status, future forecast, growth opportunity, key market and key players.
To present the Deep Learning Chipsets development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
In this study, the years considered to estimate the market size of Deep Learning Chipsets are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.