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.
United States has the largest global export quantity and manufacturers in Deep Learning Chipset market, while the EU is the second sales volume market for Deep Learning Chipset in 2016.
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 technology is not mature now, and new enterprises can not surpass existing famous brands on reputation or design in the short term. So, the study group recommends the new entrants need to be considered carefully before enter into this field.
According to this study, over the next five years the Deep Learning Chipset market will register a 39.1% CAGR in terms of revenue, the global market size will reach US$ 6310 million by 2024, from US$ 870 million in 2019. In particular, this report presents the global market share (sales and revenue) of key companies in Deep Learning Chipset business, shared in Chapter 3.
This report presents a comprehensive overview, market shares, and growth opportunities of Deep Learning Chipset market by product type, application, key manufacturers and key regions and countries.
This study considers the Deep Learning Chipset value and volume generated from the sales of the following segments:
Segmentation by product type: breakdown data from 2014 to 2019, in Section 2.3; and forecast to 2024 in section 11.7.
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others
Segmentation by application: breakdown data from 2014 to 2019, in Section 2.4; and forecast to 2024 in section 11.8.
Consumer
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others
This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8.
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Spain
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report: Breakdown data in in Chapter 3.
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Google
Graphcore
TeraDeep
Wave Computing
BrainChip
In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key manufacturers and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.
Research objectives
To study and analyze the global Deep Learning Chipset consumption (value & volume) by key regions/countries, product type and application, history data from 2014 to 2018, and forecast to 2024.
To understand the structure of Deep Learning Chipset market by identifying its various subsegments.
Focuses on the key global Deep Learning Chipset manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Deep Learning Chipset with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the consumption of Deep Learning Chipset submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
Summary:
Get latest Market Research Reports on Deep Learning Chipset . Industry analysis & Market Report on Deep Learning Chipset is a syndicated market report, published as Global Deep Learning Chipset Market Growth 2019-2024. It is complete Research Study and Industry Analysis of Deep Learning Chipset market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.