Deep Learning Chip Market By Top Key Players AMD (Advanced Micro Devices), Google, Inc., Intel Corporation, NVIDIA, Baidu, Bitmain Technologies, Qualcomm

Deep learning is a sub-set of machine learning, which is a sub-set of artificial intelligence (AI) that is achieved to perform tasks related to AI. The brain is made up of billions of cells known as neurons, which are connected with the help of pathways called synapses. New observations and experiences alter the strength of these synaptic connections. With these new collections of observations and experience, the strength of the connections results in the learning. Deep learning transforms these structures into a software with digital versions of neurons, synapses, and connection strengths. By feeding the experience and observations to an artificial neural network and adjusting the weights accordingly, a neural network learns complex functions similar to the biological brain.

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Top Major Players In Market : AMD (Advanced Micro Devices), Google, Inc., Intel Corporation, NVIDIA, Baidu, Bitmain Technologies, Qualcomm, Amazon, Xilinx, Samsung.
Recent developments in the emerging economies, such as China and India, across various industry verticals, which include media & advertising, finance, retail, healthcare, automotive & transportation, and others, have created a major growth potential for AI. The time and cost benefits provided by AI are the major growth factors leading to its increased adoption in the developing regions

Emergence of quantum computing and enhanced implementation of deep learning chips in robotics drive the growth of the global deep learning chip market considerably. In addition, emergence of autonomous robotics-robots that develop and control themselves autonomously-is anticipated to provide potential growth opportunities for the market. However, dearth of skilled workforce is one of the major restraints of the market. Most of the tasks, such as testing, bug fixing, cloud implementation, and others, are taken over by deep learning chips; however, delivery of such tasks lacks essential skillsets.

Deep learning works as a brain, which has been penetrating in several industries around the world. This technology is achieved with software, such as computer vision, voice recognition, speech synthesis, machine translation, game playing, drug discovery, and robotics. Deep learning chips are specialized Silicon chips, which incorporate AI and machine learning technology.

The global deep learning chip market is segmented based on chip type, industry vertical, technology, and geography.

On the basis of chip type, the market is categorized into graphics processing unit (GPU), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), central processing unit (CPU), and others. System-on-chip, system-in-package, multi-chip module, and others are the technologies considered. The various industry verticals are media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others.
Geographically, the market is sub-segmented into North America, Europe, Asia-Pacific, and LAMEA.

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KEY BENEFITS FOR STAKEHOLDERS:

• This study comprises an analytical depiction of the global deep learning chip market with current trends and future estimations to depict the imminent investment pockets.
• The overall market potential is determined to understand the profitable trends to gain a stronger coverage in the market.
• The report presents information related to key drivers, restraints, and opportunities with a detailed impact analysis.
• The current market is quantitatively analyzed from 2017 to 2025 to highlight the financial competency of the market. Porter’s Five Forces analysis illustrates the potency of the buyers and suppliers.

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