Deep learning is a sub-set of machine learning, which is a sub-set of artificial intelligence (AI) that is achieved to perform tasks related to AI. Deep learning works as a brain, which has been penetrating in several industries around the world. This technology is achieved with software, such as computer vision, voice recognition, speech synthesis, machine translation, game playing, drug discovery, and robotics. Deep learning chips are specialized Silicon chips, which incorporate AI and machine learning technology.
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.
Major Key Players of the Deep Learning Chip Market are:
AMD (Advanced Micro Devices), Google, Intel Corporation, NVIDIA, Baidu, Bitmain Technologies, Qualcomm, Amazon, Xilinx, Samsung.
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The global deep learning chipset market is segmented based on chip type, industry vertical, technology, and geography. By chip type, the market is categorized into graphics processing unit (GPU), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), central processing unit (CPU), and others. System-on-chip, system-in-package, multi-chip module, and others are the technologies taken into consideration. The industry verticals taken into account in the study include media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others.
Major Types of Deep Learning Chip covered are:
Major Applications of Deep Learning Chip covered are:
Media & advertising
IT & telecom
Automotive & transportation
– To study and analyze the global Deep Learning Chip consumption (value & volume) by key regions/countries, product type and application, history data.
– To understand the structure of the Deep Learning Chip market by identifying its various sub-segments.
– Focuses on the key global Deep Learning Chip manufacturers, to define, describe and analyze the sales volume, value, market share, market competitive landscape, SWOT analysis, and development plans in the next few years.
– To analyze the Deep Learning Chip with respect to individual growth trends, future prospects, and their contribution to the total market.
– To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
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Table of Content
1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type
1.5 Market by Application
1.6 Study Objectives
1.7 Years Considered
2 Global Growth Trends
2.1 Deep Learning Chip Market Size
2.2 Deep Learning Chip Growth Trends by Regions
2.3 Industry Trends
3 Market Share by Key Players
3.1 Deep Learning Chip Market Size by Manufacturers
3.2 Deep Learning Chip Key Players Head office and Area Served
3.3 Key Players Deep Learning Chip Product/Solution/Service
3.4 Date of Enter into Deep Learning Chip Market
3.5 Mergers & Acquisitions, Expansion Plans
4 Breakdown Data by Product
4.1 Global Deep Learning Chip Sales by Product
4.2 Global Deep Learning Chip Revenue by Product
4.3 Deep Learning Chip Price by Product
5 Breakdown Data by End User
5.2 Global Deep Learning Chip Breakdown Data by End User
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In the end, Deep Learning Chip industry report specifics the major regions, market scenarios with the product price, volume, supply, revenue, production, market growth rate, demand, forecast and so on. This report also presents SWOT analysis, investment feasibility analysis, and investment return analysis.
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