Press release
Deep Learning Chip Market Growth Statistics and Revenue Projections by Key Players Performance- AMD, Google, Intel, NVIDIA, Baidu, Bitmain Technologies, Qualcomm, Amazon, Xilinx, and Samsung
Deep Learning Chip Market
According to a recent report published by Allied Market Research, titled, Global Deep Learning Chip Market by Chip type, Technology, and Industry vertical: Global Opportunity Analysis and Industry Forecast, 2018-2025, the global deep learning chip market was valued at $1,975 million in 2017, and is projected to reach $29,368.0 million by 2025, growing at a CAGR of 39.9% from 2018 to 2025.
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AMD (Advanced Micro Devices), Google, Inc., Intel Corporation, NVIDIA, Baidu, Bitmain Technologies, Qualcomm, Amazon, Xilinx, and Samsung are the key market players that occupy a significant revenue share in the global deep learning chip market.
Emergence of quantum computing and increase in 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.
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Key Benefits from this Research Report:
o This study comprises an analytical depiction of the global deep learning chip market size with current trends and future estimations to depict the imminent investment pockets.
o The overall deep learning chip industry potential is determined to understand the profitable trends to gain a stronger foothold.
o The report presents information related to key drivers, restraints, and opportunities with a detailed impact analysis.
o The current deep learning chip market is quantitatively analyzed from 2018 to 2025 to benchmark the financial competency.
o Porter's Five Forces analysis illustrates the potency of the buyers and suppliers in the global deep learning chip market.
o The report includes the deep learning chip market share of key vendors and deep learning chip market trends.
At present, North America dominates the market, followed by Europe. In 2017, U.S. dominated the North America market and UK led the overall market in Europe. However, in the Asia-Pacific region, China currently dominates the market.
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Deep Learning Chip Market Key Segments:
By Chip Type
o GPU
o ASIC
o FPGA
o CPU
o Others
By Technology
o System-on-chip (SoC)
o System-in-package (SIP)
o Multi-chip module
o Others
By Industry Vertical
o Media & advertising
o BFSI
o IT & telecom
o Retail
o Healthcare
o Automotive & transportation
o Others
By Region
o North America
o U.S.
o Canada
o Mexico
o Europe
o UK
o Germany
o France
o Russia
o Rest of Europe
o Asia-Pacific
o China
o Japan
o India
o Australia
o Rest of Asia-Pacific
o LAMEA
o Latin America
o Middle East
o Africa
Deep Learning Chip Market Expected to Reach $29,368.0 million, Globally, by 2025: https://www.whatech.com/market-research/it/641628-deep-learning-chip-market-to-see-huge-expansion-in-revenue-rising-from-1-975-mn-to-29-368-0-mn-by-2025
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About Us
Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.
We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.
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