Deep Learning Chip Market to Grow at a CAGR of 30.0% to reach US$ 21.31 Billion from 2019 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.

North America leads the global deep learning chip market, and it is anticipated to be the highest revenue contributor throughout the forecast period. Deep learning chip development is backed by large-scale investment from technological giants to develop patterns from a huge amount of generated data. The rise of quantum computing and the implementation of deep learning chips in robotics is driving the growth of the deep learning chip market in the North American countries.

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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.

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

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The market players present in the deep learning chip market are mainly focusing on product enhancements by implementing advanced technologies. By signing partnerships, contracts, joint ventures, funding, and inaugurating new offices across the world permit the company to maintain its brand name globally. Few of the recent developments are listed below;

2019: NVIDIA has partnered with Hackster.io to launch the AI at the Edge Challenge, a competition where developers utilize the NVIDIA Jetson Nano Developer Kit for building creative and unique projects and earn a chance to win from $100K in prizes.

2019: Intel announced its plans to expand the Oregon factory to produce a 7nm chip. Intel's new factory will be the third phase of D1X, a massive factory Intel began in 2010. Each of the first two phases was 1.1. Million square feet, creating a combined facility equivalent to 15 Costco warehouse stores. The third phase will apparently increase D1X's manufacturing space by about 50 percent. Further, Intel says its factory expansion will enable it to respond 60 percent faster to chip shortages.

2019: Huawei launched HiSecEngine USG12000, Industry's first T-level AIFW. The HiSecEngine USG12000 is equipped with Ascend AI chips, which provides intelligent detection capabilities as well as intelligent border defense for enterprise networks.

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

By Geography

North America
U.S.
Canada
Mexico
Europe
France
Germany
UK
Russia
Italy
Rest of Europe
Asia Pacific (APAC)
Australia
China
India
Japan
South Korea
Rest of APAC
Middle East & Africa (MEA)
Saudi Arabia
South Africa
UAE
Rest of MEA
South America (SAM)
Brazil
Argentina
Rest of SAM

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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, Biotechnology, Healthcare IT, Manufacturing and Construction, Medical Device, Technology, Media and Telecommunications, Chemicals and Materials.

This release was published on openPR.