Deep Learning Chip Market is expected to reach US$ 21.31 Bn by 2027

According to the new research report published by The Insight Partners, titled "Deep Learning Chip Market - Global Analysis and Forecast By Chip Type (GPU, ASIC, FPGA, CPU, Others); Technology (System-on-Chip, System-in-Package, Multi-chip Module, Others); Industry Vertical (Media & Advertising, BFSI, IT & Telecom, Retail, Healthcare, Automotive & Transportation, and Others) to 2027", The global deep learning chip market accounted to US$ 2.04 Bn in 2018 and is expected to grow at a CAGR of 30.0% during the forecast period 2019 - 2027, to account to US$ 21.31 Bn by 2027.

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Company Profiles
Advanced Micro Devices, Inc., Alphabet Inc. (Google), Amazon.com, Inc., Baidu, Inc., Huawei Technologies Co., Ltd, Intel Corporation, NVIDIA Corporation, Qualcomm Incorporated, Samsung Electronics Co., Ltd., Xilinx, Inc.

With the availability of an enormous amount of data and vast scalability of cloud-based compute power, the chip has become a massive trend across industries in these past few years. In today's digital world, information is the key for enterprises to be successful and to maintain sustainable growth. Deep learning chip is a specialized hardware chip which acts as a brain for the device, deep learning chips have many computing cores and come with high bandwidth memory. These chips are also known as AI chips and have its application in numerous systems including CPUs, GPU, and ASIC among others.

With the increasing demand for application-based deep learning chips for specific problems in an industry vertical, various startups and established companies are focusing on new hardware innovations that support rapid, and efficient deep learning processing. Deep learning is the part of the range of AI applications offered by AI chipset architectures along with machine learning, and natural language processing among others for both training and inference. To address the increasing demand and variety of AI workloads, vendors are now mixing a wide range of chip technologies in their products. There are various application-specific SoCs available for intelligent robotics and mobile apps. A large number of start-ups have come up in the artificial intelligence ecosystem, and they have received impressive funding from various big organizations. ASICs and application-specific custom/hybrid deep learning chips will be the future of deep learning chip market and therefore is expected to be a trending factor impacting the growth of the deep learning chip market.

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Market Insights
The prominence of Quantum Computing contribute to the deep learning chip market growth

Quantum computing takes seconds to finish a calculation that would otherwise take more time. Quantum computers are an innovative transformation of artificial intelligence, machine learning, and big data. Therefore, the prominence of quantum computing is expected to drive the growth of the deep learning chip market. Furthermore, quantum computing is beneficial for various factors including, portfolio optimization, fraud detection, and risk management, and the areas where immediate data feedback is required. Thus, it is easier for a single processor to perform complex calculations in seconds. Additionally, with the internet's scale and size, deep learning helps to maintain large data sets at a very low cost. Hence, these factors expected to boost the growth of the global deep learning chip market
Real-time consumer behavior insights and increased operational efficiency to propel the overall growth of deep learning chip market

GLOBAL DEEP LEARNING CHIP MARKET SEGMENTATION
By Chip Type
GPU
ASIC
FPGA
CPU
Others

By Technology
System-on-Chip
System-in-Package
Multi-chip Module
Others

By Industry Vertical
Media & Advertising
BFSI, IT & Telecom
Retail
Healthcare
Automotive & Transportation
Others

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About Us:
The Insight Partners is a one-stop industry research provider of actionable intelligence. We help our clients in getting solutions to their research requirements through our syndicated and consulting research services. We specialize in industries such as Semiconductor and Electronics, Aerospace and Defense, Automotive and Transportation, Healthcare, Manufacturing and Construction, Media and Technology, Chemicals, and Materials.

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