Global Deep Learning Chipset Market is anticipated To Grow At 43.5% Compound Annual Growth Rate (CAGR), by Revenue, and 54.5% CAGR, by Volume, from 2017 – 2025: Factor & Equilibrium

As per the new market report published by Factor & Equilibrium (www.factorandequilibrium.com) “Deep Learning Chipset Market – {By Chipset Type – CPUs (central processing units), GPUs (graphics processing units), FPGAs (field programmable gate arrays), ASICs (application specific integrated circuits), Others; By Computing Performance – Low Compute Capacity (=1TFlops); By Architecture - Hardware and Software; and By End User - Healthcare, Sales And Marketing, BFSI Sector, Security, Manufacturing, Others} & By Regions, 2017 - 2025” is expected to reach USD 12.94 Billion by 2025 in terms of revenue. In 2016, the market was valued USD 0.64 Billion in terms of revenue. In terms of volume, Deep Learning Chipset Market size was 1.0 Million Units in 2016 and expected to reach 38.8 Million Units by 2025.

Browse 57 Data Tables and 80 Figures in the full report at:

www.factorandequilibrium.com/market-report/deep-learning-chipset-market-growth-analysis

Market Size Overview
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Deep learning technology is driving the advancement of the artificial intelligence industry and expected to become one of the most accepted technologies in the coming years. The working principal of deep learning chipset depends on the application of multilevel neural-network algorithm which is being trained to perform various applications across industries. Deep learning chipset market size is currently undergoing a high growth, due to its capability to fit in with training data for the purpose of supervised learning for various applications which makes it easier to learn from very few examples. Moreover, deep learning chipset market is expected to drive the artificial intelligence adoption into various enterprises. It is proven that the deep learning is the main driver and most significant approach to artificial intelligence. Owing to its increasing adoption, the deep learning chipset market size across the globe is anticipated to experience a robust growth rate throughout the forecast period 2017 - 2025.

Market Segmentation Overview
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By chipset type, the deep learning chipset market has been segregated into CPUs (central processing units), GPUs (graphics processing units), FPGAs (field programmable gate arrays), ASICs (application specific integrated circuits) and others. In terms of revenue and volume, GPUs (graphics processing units) segment is leading the market and is expected to maintain its position in the deep learning chipset market, followed by CPUs (central processing units) segment. In addition, ASICs (application specific integrated circuits) segment anticipated to grow at a high CAGR rate during the forecast period.

In terms of both revenue and volume, GPUs (graphics processing units) segment held the largest share in deep learning chipset market in 2016.

By computing performance, the deep learning chipset market has been classified into two segments those are high compute capacity (>=1 TFlops) and low compute capacity (1>TFlops). In terms of revenue and volume, high compute capacity segment is leading the market in 2016 and is expected to maintain its dominance throughout the forecast period. The 1 TFlops which is of low compute capacity is capable of performing one billion floating point operation per second and 1 petaFlops which is of higher compute capacity is capable of carrying out one quadrillion floating point operation every second.

In terms of both revenue and volume, high compute capacity (>=1 TFlops) segment held the largest market share in deep learning chipset market in 2016.

By architecture, the deep learning chipset market has been bifurcated into two segments those are hardware and software. Deep learning technology till date has primarily remained a software play. Artificial Intelligence (AI) application truly demands much higher performance and a comparatively lower power. World’s top semiconductor manufacturers along with a number of new startups have hurdled into this race to meet these requirements. Since most of the software’s that are being used for the purpose of building deep learning structure are mainly open source, sales of the hardware are probably to be a very significant percentage of the total budget spent on software.

In terms of revenue and volume hardware segment held the largest market share and it is expected to maintain the dominance during the forecast period of 2017 -2025.

By End User, the deep learning chipset market is segmented into healthcare, sales and marketing, BFSI sector, security, manufacturing and others. In terms of revenue and volume, security segment is leading the market in 2016 and is followed by sales & marketing.

In terms of both revenue and volume, security segment holds the largest share in deep learning chipset market in 2016.

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Regional Overview
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The global deep learning chipset market has been segment into five key geographical regions: North America, Europe, Asia-Pacific, Middle East and Africa and South America.

In terms of revenue, North America is leading the market for deep learning chipset market in 2016 and Asia-Pacific is anticipated to maintain highest growth rate during the forecast period from 2017 to 2025. Asia-Pacific is anticipated to increase the dominance in the market in the forecast period due to the increasing demand for more complex and innovative consumer electronics products and rising manufacturing industries in Asia-Pacific region. North America and Asia-Pacific have been analyzed to have the largest market share with more than 60% of the deep learning market during the forecast period. Moreover, North America holds an enviable market share in the deep learning chipset market size due to its aggressiveness in developing artificial intelligence technology and developing applications supported by AI into the real world by the renowned players as well as the startups. Artificial Intelligence is also been very widely used in the insurance sector. Deep learning chipsets are capable of reviewing information and medical certificates related to surgical procedure, hospital and medical histories. Middle East and Africa is expected to grow at a moderate rate during the forecast period.

In terms of revenue North America holds the largest market share while APAC is expected to maintain the highest CAGR rate during the forecast period.

Leading Player Mapping
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In 2016, only few companies have ventured into manufacturing deep learning chipsets. Some of the major players operating in the deep learning chipset industry include Intel (The U.S), NVIDIA (The U.S) and Qualcomm (The U.S) among others.

Browse Related Upcoming Reports:

www.factorandequilibrium.com/market-research/semiconductors-and-electronics-market

The market has been segmented as follows:
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Deep Learning Chipset Market: By Chipset type
• CPUs (central processing units)
• GPUs (graphics processing units)
• FPGAs (field programmable gate arrays)
• ASICs (application specific integrated circuits)
• Others

Deep Learning Chipset Market: By Computing Performance
• Low compute capacity (=1 TFlops)
• Deep Learning Chipset Market: By Architecture
• Hardware
• Software

Deep Learning Chipset Market: By End User
• Healthcare
• Sales And Marketing
• BFSI Sector
• Security
• Manufacturing
• Others

Deep Learning Chipset Market: By Geography
• North America (U.S. and Canada)
• Europe (U.K., Germany, France, CIS + Scandinavia and Rest of Europe)
• Asia-Pacific (China, Japan, India, South Korea and Rest of Asia-Pacific)
• Middle East and Africa (Israel, South Africa and Rest of Middle East and Africa)
• South America (Brazil, Mexico and Rest of South America)

Contact
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Arupratan Chattopadhyay
Marketing Manager
Factor & Equilibrium
New York City, NY
Email: sales@factorandequilibrium.com
Website:www.factorandequilibrium.com

About Factor & Equilibrium
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Factor & Equilibrium is a leading market research and strategy consulting firm. We specialize in helping clients to identify market trends, business opportunities and develop growth strategies. Factor & Equilibrium has engagement model to identify requirements of clients efficiently. We offer premium research studies across different industry verticals including chemicals and materials, semiconductors & electronics, healthcare and food & beverages.

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FACTOR & EQUILIBRIUM
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