Deep Learning Chipset Market Industry Analysis

Deep Learning Chipset Market Size By Product Type(Graphics Processing Units (GPUs), Central Processing Units (CPUs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs), Others), By Application ( Consumer, Aerospace, Military and Defense, Automotive, Industrial, Medical, Others) Forecast 2020-2025

  • Report ID: BMRC 1301 | Number of pages: 223 | Publish Date: Nov -0001
    Status: Published | Category: Semiconductor | Delivery Timeline: 48 hrs


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Market Size Graph


"Deep Learning Chipset market is valued at USD 2.83 Billion in 2018 and expected to reach 25.6 Billion by 2025 with the CAGR of 37% over the forecast period."

Global Deep Learning Chipset Market Increased adoption of cloud based technology and deep learning usage in big data analytics are the factors driving the growth of the deep learning chipset market.

Deep Learning Chipset Market Growth Factor

Deep learning chips are customized silicon chips that assimilate Ai Technology and machine learning. Deep learning and machine learning, which are the sub-sets of Artificial intelligence (AI) sub-sets, are used in carrying out AI related tasks. A single-chip processor generates lighting effects and transforms objects each time a 3D scene is redrawn. Or a graphic processing unit turns out to be very expressive and efficient when applied to computation styles needed for neural nets. This in turn fuels the growth of the market for deep learning chipsets. For Example, NVidia GPU's, which are most popular nowadays for deep learning, can do both training and inference. Some other examples are Graphcore IPU, Google TPU V3, Cerebras, etc. OpenAI has great analysis displaying the recent increase in compute required for training large networks.

Global Deep Learning Chipset market report is segmented on the basis of Product type and application. Based upon Product type Deep Learning Chipset is classified into Graphics Processing Units (GPUs), Central Processing Units (CPUs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) and others. Based upon application Deep Learning Chipset is classified into Consumer, Aerospace, Military and Defense, Automotive, Industrial, Medical and Others.

The regions covered in this global Deep Learning Chipset market report are North America, Europe, Asia-Pacific and Rest of the World. On the basis of country level market of Deep Learning Chipset is sub divided into U.S., Mexico, Canada, UK, France, Germany, Italy, China, Japan, India, South East Asia, GCC, Africa, etc.

Deep Learning Chipset Companies:

Global Deep Learning Chipset market Report covers prominent players are like,

NVIDIA

Intel

IBM

Qualcomm

CEVA

KnuEdge

AMD

Xilinx

ARM

Google

Graphcore

TeraDeep

Wave Computing

BrainChip 

Others.

NVIDIA announced its First GPU-Based AI Chip That Can Boost Performance by Up To 20x

News: - 18/05/2020, Recently, NVIDIA CEO and Co-Founder Jensen Huang introduced GPU-based NVIDIA A100. Huang made the announcement from the kitchen of his California home along with discussions on important new software technologies such as NVIDIA Jarvis and recent Mellanox acquisition. NVIDIA A100 is believed to be the first GPU based on the NVIDIA Ampere architecture with 54 billion transistors. The NVIDIA A100 Tensor Core GPU is said to deliver unprecedented acceleration at every scale for AI, data analytics, including high-performance computing (HPC) to tackle highly complex processing challenges.

Increased adoption of cloud based technology and deep learning usage in big data analytics are the factors driving the growth of the deep learning chipset market.

Increased adoption of cloud based technology and deep learning usage in big data analytics are the factors driving the growth of the deep learning chipset market. Cloud assumption is a strategy used by enterprises to improve the scalability of Internet-based database capabilities while reducing cost and risk. Cloud-based software and platforms help companies benefit from AI, even if they lack the expertise to build and train systems, or to manage data on their own. Deep learning technology has arrived many industries around the world and is accomplished through applications like computer vision, speech synthesis, voice recognition, machine translation, drug discovery, game play and robotics. According to Cloud Computing Statistics, 90% of companies use some type of cloud service.  80% of enterprises use Amazon Web Services as their primary cloud platform. Also 77% of enterprises have at least one application or a portion of it in the cloud. With machine learning technologies, computers can be taught to analyze data, identify hidden patterns, make classifications and predict future outcomes. Deep learning is a subset of machine learning based on a conceptual model of the human brain called neural networks. However, low awareness of chipset besides CPU is likely to hamper the growth of the deep learning chipset market during the forecast period. Furthermore, Popularity of Internet of Things (IoT) and increase in demand for automated devices are anticipated to provide lucrative growth opportunities for the key players in the deep learning chipset market.

North America is dominating the Deep Learning Chipset Market

North America is expected to dominate the growth of Deep Learning Chipset Market, due to increase in demand for smart homes and Smart cities, rise in investments in AI startups, emergence of quantum computing, growth in the number of AI development of smarter robots. The majority (69%) of U.S. households now own at least one smart home device, based on a new study. That translates to 83 million households and of those, 18% or 22 million homes, own more than one smart home product, according to the study by the Consumer Technology Association (CTA). Europe is second largest region for the growth of Deep Learning Chipset Market, due to increased adoption of cloud based technology.

Deep Learning Chipset Market Reports –

Global market report covers in depth historical and forecast analysis.

Global market research report provides detail information about Market Introduction, Market Summary, Global market Revenue (Revenue USD), Market Drivers, Market Restraints, Market opportunities, Competitive Analysis, Regional and Country Level.

Global market report helps to identify opportunities in market place.

Global market report covers extensive analysis of emerging trends and competitive landscape.

Global Deep Learning Chipset market Segmentation –

By Product Type: Graphics Processing Units (GPUs), Central Processing Units (CPUs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs), Others

By Application: Consumer, Aerospace, Military and Defense, Automotive, Industrial, Medical, Others

Regional & Country Analysis
North America, U.S., Mexico, Canada , Europe, UK, France, Germany, Italy , Asia Pacific, China, Japan, India, Southeast Asia, South America, Brazil, Argentina, Columbia, The Middle East and Africa, GCC, Africa, Rest of Middle East and Africa


Frequently Asked Questions (FAQ) :
"Deep Learning Chipset market is valued at USD 2.83 Billion in 2018 and expected to reach 25.6 Billion by 2025 with the CAGR of 37% over the forecast period."
Increased adoption of cloud based technology and deep learning usage in big data analytics are the factors driving the growth of the deep learning chipset market.
North America is expected to dominate the growth of Deep Learning Chipset Market, due to increase in demand for smart homes and Smart cities, rise in investments in AI startups, emergence of quantum computing, growth in the number of AI development of smarter robots



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Deep Learning Chipset Market Size Research Analysis to 2025 and Analysis 2019-2025

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Deep Learning Chipset Market Size By Product Type(Graphics Processing Units (GPUs), Central Processing Units (CPUs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs), Others), By Application ( Consumer, Aerospace, Military and Defense, Automotive, Industrial, Medical, Others) Forecast 2020-2025

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