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Global Deep Learning Chip Market to Reach $29,368.0 Million by 2025

07-25-2018 07:01 PM CET | IT, New Media & Software

Press release from: Allied Market Research

Deep Learning Chip Market- AMR

Deep Learning Chip Market- AMR

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.

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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In 2017, the GPU segment dominated the global deep learning chip market in the chip type category, in terms of revenue. However, the others segment is expected to grow at a highest CAGR during the forecast period. By technology, the system-on-chip segment is anticipated to dominate the market throughout the forecast period (2018‐“2025). Moreover, the BFSI segment dominates the overall deep learning chip market, in terms of industry vertical. The deep learning chip market signifies a promising future for the technological industry. The current business scenario has witnessed an increase in the adoption of this technology, particularly in the developing regions. The companies have been adopting innovative techniques to provide customers with advanced and innovated product offerings.

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.

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Dominating Market Players Profiled In this Study:

•AMD (Advanced Micro Devices)
•Google, Inc.
•Intel Corporation
•NVIDIA
•Baidu
•Bitmain Technologies
•Qualcomm
•Amazon
•Xilinx
•Samsung

Key Findings of the Deep Learning Chip Market:

•On the basis of chip type, the GPU segment led the global deep learning chip market in the year 2017. However, the ASIC segment is anticipated to overtake the GPU segment in the near future, in terms of revenue.

•The North America region held the majority of market share in 2017.

•By industry vertical, the BFSI segment has been dominating the global deep learning chip market in the year 2017. However, the others segment is expected to grow at the highest CAGR during the forecast period (2018-2025).

•The LAMEA region is anticipated to exhibit the highest CAGR during the forecast period.

Deep Learning Chip Market Key Segmentation:

•By Chip Type

••GPU
••ASIC
••FPGA
••CPU
••Others

•By Technology

••System-on-chip (SoC)
••System-in-package (SIP)
••Multi-chip module
••Others

•By Industry Vertical

••Media & advertising
••BFSI
••IT & telecom
••Retail
••Healthcare
••Automotive & transportation
••Others

Geographically, the deep learning chip industry is sub-segmented into North America, Europe, Asia-Pacific, and LAMEA.

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The global deep learning chip market holds a high potential for the semiconductor industry. The current business scenario has been witnessing an increase in the demand for deep learning chips, particularly in the developing regions, such as China, India, and others. Companies in this industry adopt various innovative techniques to provide customers with advanced and innovative product offerings.

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. Each and 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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