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Deep Learning Chip Market by Chip Type, Technology and Forecast To 2025

01-22-2019 08:57 AM CET | IT, New Media & Software

Press release from: Allied Market Research

/ PR Agency: Allied Analytics
Deep Learning Chip Market

Deep Learning Chip Market

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.

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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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.

Among the geographical regions, North America exhibits the highest adoption of deep learning chips. On the other hand, the Asia-Pacific region is expected to grow at a faster pace, predicting lucrative growth.

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Increased Adoption of Deep Learning Chips in the Developing Regions

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. All these factors together fuel the growth of the market.

Key Benefits

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.
The overall deep learning chip industry potential is determined to understand the profitable trends to gain a stronger foothold.
The report presents information related to key drivers, restraints, and opportunities with a detailed impact analysis.
The current deep learning chip market is quantitatively analyzed from 2018 to 2025 to benchmark the financial competency.
Porter’s Five Forces analysis illustrates the potency of the buyers and suppliers in the global deep learning chip market.
The report includes the deep learning chip market share of key vendors and deep learning chip market trends.

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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.

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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