Albany, NY -- (SBWIRE) -- 04/06/2018 -- The impetus on effectively integrating the circuits within a computer system has led to an increased demand within the global market for deep learning chipsets. Deep learning chipsets have come to replace other forms of chipsets on account of the intelligence matrix of the former. Artificial intelligence (AI) forms the basis of deep learning chipsets that are now being extensively used in hardware. In the field of machine learning, several new niche domains have cropped up, and deep learning is one of them. Deep learning functions by employing several algorithms that are based on the functioning of the human brain or the neural networks. Microcontrollers are soon to replace the cumbersome devices in data centers, thus, pointing to the success of the global market for deep learning chipsets. Moreover, continual research and development within the domain of artificial intelligence is expected to give rise to new forms of deep learning chipsets with advanced algorithms. Hence, the global market is anticipated to excavate positive results from the nascent developments in computer sciences.

The researchers at Transparency Market Research (TMR) employed pragmatic methodologies to foretell a trajectory of growth for the global market for deep learning chipsets over the coming years. It is estimated that the market would grow at a skyrocketing CAGR of 24.7% over the period from 2017 to 2025. Moreover, the market value is projected to reach a value of US$1,264.78 mn by the end of 2025 from a value of US$150.17 mn in 2015. In terms of geography, the market in North America is projected to reach a value of US$335.46 mn by 2025 while Asia Pacific is expected to reap a revenue of US$444.64 mn by the end of the same year.

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1. Aiding Transfer of Data

The need to store and transfer large chunks of data has continually increased ever since the inception of computers. In the contemporary age, the emergence of IT service providers that deploy a range of technologies such as Internet of Things (IoT), Artificial Intelligence, and Firewalls has increased the demand for chipsets. Internet of things (IoT) has enabled the connection of billions of devices which in turn propels the transference of huge amounts of data. This is expected to play a crucial role in enhancing the growth of the global market. Moreover, the development of new algorithms has eased the process of machine learning by making it easier for machines to learn from simple processes. Data centers are swift to adopt to technologies that could assist in making the processes agile and nimble. Owing to this reason, the demand for deep learning chipsets has increased by leaps and bounds. Graphic Processing Units (GPU) are also amongst the newest advancements that have facilitated the replication of neural networks for deep learning. Hence, in the contemporary scenario, the market for deep learning chipsets is trailing along a lucrative growth path. The market is prognosticated to keep excavating benefits from several industrial units over the coming years.

2. Dominance of North American Market

The market in North America has grown significantly in recent times, majorly due to the early adoption of artificial intelligence across the region. The abundance of technical support along with the favorable government policies to support data centers is behind the plush growth of the market. Moreover, several startups and even previously established companies have begun investing in research and development of a strong IT infrastructure. This has been another crucial factor propelling demand within the regional market.

Two of the key players in the global market for deep learning chipset include NVIDIA Corporation and INTEL Corporation.

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Global Deep Learning Chipset market report provides analysis for the period 2015 – 2025, wherein the period from 2017 to 2025 is the forecast and 2016 is the base year. The data for 2015 has been included as historical information. The Deep Learning Chipset report covers all the major types, computing capacity and end-users playing significant role in the global Deep Learning Chipset market's growth over the forecast period. The report also include various drivers, restraints, and opportunities expected which affect market's growth during the above mention period. The study provides an entire perspective on the market's growth in terms of revenue in US$ Mn and volume in Mn units, across different geographical regions such as Asia Pacific, North America, Middle East & Africa, Europe, and South America.

Market Segmentation

Global Deep Learning Chipset Market, by Type

Graphics Processing Units (GPUs)
- Projected to be major chipset by 2025
-High ability to perform with CPU

Application Specific Integrated Circuits (ASICs)
- Projected to expand with CAGR of 25.5%

Central Processing Units (CPUs)
Field Programmable Gate Arrays (FPGAs)
Others

Global Deep Learning Chipset Market, by Compute Capacity

High (>1 TFlops)
-Expected to have highest market share (75.36%)
-Projected to grow with the CAGR of 24.8%

Low (<1TFlops)
- Projected to grow with the CAGR of 24.3%

Global Deep Learning Chipset Market, by End-User

Consumer Electronics
- Projected to expand at CAGR of 25.4%

Automotive
- Holds highest market share and likely to continue
-Rising adoption of self-autonomous and fully-autonomous cars

Industrial,
Healthcare,
Aerospace & Defense
Others

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Global Deep Learning Chipset Market, by Geography

North America -Maximum Demands

The U.S.
Canada
Rest of North America
Europe
U.K.
Germany
France
Rest of Europe

Asia Pacific (APAC)- Leading in terms of revenue

Japan
China
India
South Korea
Rest of APAC
Middle East and Africa (MEA)
GCC
South Africa
Rest of MEA
South America
Brazil
Rest of South America