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.In the industry, NVIDIA profits most in 2016 and recent years, while Intel and IBM ranked 2 and 3.The market share of them is 26.72%, 20.57% and 12.56% in 2016.The gap of market share is keep on enlarged due to different strategy.

Deep Learning Chipset Market contains market size and forecasts of Deep Learning Chipset in global, including the following market information:

Global Deep Learning Chipset Market Revenue, 2017-2022, 2023-2028, ($ millions)

Global Deep Learning Chipset Market Sales, 2017-2022, 2023-2028, (K Units)

Global top five Deep Learning Chipset companies in 2021 (%)

The global Deep Learning Chipset market was valued at 3322.4 million in 2021 and is projected to reach US$ 27870 million by 2028, at a CAGR of 35.5% during the forecast period.

The U.S. Market is Estimated at $ Million in 2021, While China is Forecast to Reach $ Million by 2028.

Graphics Processing Units (GPUs) Segment to Reach $ Million by 2028, with a % CAGR in next six years.

The global key manufacturers of Deep Learning Chipset include NVIDIA, Intel, IBM, Qualcomm, CEVA, KnuEdge, AMD, Xilinx and ARM, etc. In 2021, the global top five players have a share approximately % in terms of revenue.

We surveyed the Deep Learning Chipset manufacturers, suppliers, distributors and industry experts on this industry, involving the sales, revenue, demand, price change, product type, recent development and plan, industry trends, drivers, challenges, obstacles, and potential risks.

Total Market by Segment:

Global Deep Learning Chipset Market, by Type, 2017-2022, 2023-2028 ($ Millions) & (K Units)

Global Deep Learning Chipset Market Segment Percentages, by Type, 2021 (%)

Graphics Processing Units (GPUs)

Central Processing Units (CPUs)

Application Specific Integrated Circuits (ASICs)

Field Programmable Gate Arrays (FPGAs)

Others

Global Deep Learning Chipset Market, by Application, 2017-2022, 2023-2028 ($ Millions) & (K Units)

Global Deep Learning Chipset Market Segment Percentages, by Application, 2021 (%)

Consumer

Aerospace, Military & Defense

Automotive

Industrial

Medical

Others

Global Deep Learning Chipset Market, By Region and Country, 2017-2022, 2023-2028 ($ Millions) & (K Units)

Global Deep Learning Chipset Market Segment Percentages, By Region and Country, 2021 (%)

North America

US

Canada

Mexico

Europe

Germany

France

U.K.

Italy

Russia

Nordic Countries

Benelux

Rest of Europe

Asia

China

Japan

South Korea

Southeast Asia

India

Rest of Asia

South America

Brazil

Argentina

Rest of South America

Middle East & Africa

Turkey

Israel

Saudi Arabia

UAE

Rest of Middle East & Africa

Competitor Analysis

The report also provides analysis of leading market participants including:

Key companies Deep Learning Chipset revenues in global market, 2017-2022 (Estimated), ($ millions)

Key companies Deep Learning Chipset revenues share in global market, 2021 (%)

Key companies Deep Learning Chipset sales in global market, 2017-2022 (Estimated), (K Units)

Key companies Deep Learning Chipset sales share in global market, 2021 (%)

Further, the report presents profiles of competitors in the market, key players include:

NVIDIA

Intel

IBM

Qualcomm

CEVA

KnuEdge

AMD

Xilinx

ARM

Google

Graphcore

TeraDeep

Wave Computing

BrainChip