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Global Deep Learning Chipsets Market By Type( CPUs, GPUs, FPGAs, ASICs, SoC Accelerators, Others ), By Application ( Automotive, Smart Cameras, Robots, Drones, Mobile Phones, Others ), By Region, and Key Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends and Forecast 2020-2029
  • Report ID 134876
  • Published Date 17-Oct
  • Delivery Format PDF/PPT/Word
  • Editor's Rating
  • Report Details

    The report on Global Deep Learning Chipsets Market offers in-depth analysis on market trends, drivers, restraints, opportunities etc. Along with qualitative information, this report include the quantitative analysis of various segments in terms of market share, growth, opportunity analysis, market value, etc. for the forecast years. The Global deep learning chipsets Market is segmented on the basis of Type, Application, and geography.

    The Worldwide market for Global Deep Learning Chipsets Market is expected to grow at a CAGR of roughly x.x% over the next ten years, and will reach US$ XX.X Mn in 2028, from US$ XX.X Mn in 2018, according to a new Market.us (Prudour Research) study.

    Deep Learning Chipsets Market Scope:

    By type, the market is segmented into CPUs, GPUs, FPGAs, ASICs, SoC Accelerators, and Others. By Application, the market is divided into Automotive, Smart Cameras, Robots, Drones, Mobile Phones, and Others.
    Based on geography, market is analyzed across North America, Europe, Asia-Pacific, Latin America, and Middle East and Africa. Major players profiled in the report include Google, Intel, Xilinx, AMD, NVIDIA, ARM, Qualcomm, IBM, Graphcore, BrainChip, Mobileye, Wave Computing, CEVA, Movidius, Nervana Systems, Amazon, Cerebras Systems, and Facebook.

    Key Market Segments

    Type

    CPUs
    GPUs
    FPGAs
    ASICs
    SoC Accelerators
    Others

    Application

    Automotive
    Smart Cameras
    Robots
    Drones
    Mobile Phones
    Others

    Key Market Players included in the report:

    Google
    Intel
    Xilinx
    AMD
    NVIDIA
    ARM
    Qualcomm
    IBM
    Graphcore
    BrainChip
    Mobileye
    Wave Computing
    CEVA
    Movidius
    Nervana Systems
    Amazon
    Cerebras Systems
    Facebook

    Reasons to Get this Report:

    In an insight outlook, this research report has dedicated to several quantities of analysis industry research (global industry trends) and Global Deep Learning Chipsets Market share analysis of high players, along with company profiles, and which collectively include about the fundamental opinions regarding the market landscape; emerging and high-growth sections of Global Deep Learning Chipsets Market; high-growth regions; and market drivers, restraints, and also market chances.
    The analysis covers Global Deep Learning Chipsets Market and its advancements across different industry verticals as well as regions. It targets estimating the current market size and growth potential of the Global Deep Learning Chipsets Market across sections such as also Application and representatives.
    Additionally, the analysis also has a comprehensive review of the crucial players on the Global Deep Learning Chipsets Market together side their company profiles, SWOT analysis, latest advancements, and business plans.

    The analysis objectives of the report are:

    To equitably share in-depth info regarding the crucial elements impacting the increase of industry (growth capacity, chances, drivers, and industry-specific challenges and risks).
    To know the Global Deep Learning Chipsets Market by pinpointing its many subsegments.
    To profile the important players and analyze their growth plans.
    To endeavor the amount and value of Global Deep Learning Chipsets Market sub-markets, depending on key regions (various vital states).
    To analyze Global Deep Learning Chipsets Market concerning growth trends, prospects, and also their participation in the entire sector.
    To examine and study the Global Deep Learning Chipsets Market size (volume & value) from the company, essential regions/countries, products, and Application, background information from 2012 to 2018, and also prediction to 2028.
    Primary worldwide Global Deep Learning Chipsets Market manufacturing companies, to specify, clarify and analyze the product sales amount, value and market share, market rivalry landscape, SWOT analysis and development plans next coming years.
    To examine competitive progress such as expansions, arrangements, new product launches, and acquisitions on the market.

  • Table Of Content

    1. Global Deep Learning Chipsets Market Introduction

    1.1. Definition
    1.2. Taxonomy
    1.3. Research Scope2. Executive Summary

    2.1. Key Findings by Major Segments
    2.2. Top strategies by Major Players3. Global Deep Learning Chipsets Market Overview

    3.1. Global Deep Learning Chipsets Market Dynamics

    3.1.1. Drivers
    3.1.2. Opportunities
    3.1.3. Restraints
    3.1.4. Challenges3.2. PESTLE Analysis
    3.3. Opportunity Map Analysis
    3.4. PORTER’S Five Forces Analysis
    3.5. Market Competition Scenario Analysis
    3.6. Product Life Cycle Analysis
    3.7. Opportunity Orbits
    3.8. Manufacturer Intensity Map4. Global Deep Learning Chipsets Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by Type, 2012-2028

    4.1. Global Deep Learning Chipsets Market Analysis by Type: Introduction
    4.2. Market Size and Forecast by Region
    4.3. CPUs
    4.4. GPUs
    4.5. FPGAs
    4.6. ASICs
    4.7. SoC Accelerators
    4.8. Others5. Global Deep Learning Chipsets Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by Application, 2012-2028

    5.1. Global Deep Learning Chipsets Market Analysis by Application: Introduction
    5.2. Market Size and Forecast by Region
    5.3. Automotive
    5.4. Smart Cameras
    5.5. Robots
    5.6. Drones
    5.7. Mobile Phones
    5.8. Others6. Global Deep Learning Chipsets Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by Region, 2012-2028

    6.1. North America

    6.1.1. North America Global Deep Learning Chipsets Market: Regional Trend Analysis

    6.1.1. 1.US
    6.1.1. 2.Canada
    6.1.1. 3.Mexico

    6.2. Europe

    6.2.1. Europe Global Deep Learning Chipsets Market: Regional Trend Analysis

    6.2.1.1. Germany
    6.2.1.2. France
    6.2.1.3. UK
    6.2.1.4. Russia
    6.2.1.5. Italy
    6.2.1.6. Rest of Europe

    6.3. Asia-Pacific

    6.3.1. Asia-Pacific Global Deep Learning Chipsets Market: Regional Trend Analysis

    6.3.1.1. China
    6.3.1.2. Japan
    6.3.1.3. Korea
    6.3.1.4.India
    6.3.1.5.Rest of Asia

    6.4. Latin America

    6.4.1. Latin America Global Deep Learning Chipsets Market: Regional Trend Analysis

    6.4.1.1. Brazil
    6.4.1.2. Argentina
    6.4.1.3. Rest of Latin America

    6.5. Middle East and Africa

    6.5.1. Middle East and Africa Global Deep Learning Chipsets Market: Regional Trend Analysis

    6.5.1.1. GCC
    6.5.1.2. South Africa
    6.5.1.3. Israel
    6.5.1.4. Rest of MEA
    7. Global Deep Learning Chipsets Market Competitive Landscape, Market Share Analysis, and Company Profiles

    7.1. Market Share Analysis
    7.2. Company Profiles
    7.3. Google

    7.3.1. Company Overview
    7.3.2. Financial Highlights
    7.3.3. Product Portfolio
    7.3.4. SWOT Analysis
    7.3.5. Key Strategies and Developments7.4. Intel

    7.4.1. Company Overview
    7.4.2. Financial Highlights
    7.4.3. Product Portfolio
    7.4.4. SWOT Analysis
    7.4.5. Key Strategies and Developments7.5. Xilinx

    7.5.1. Company Overview
    7.5.2. Financial Highlights
    7.5.3. Product Portfolio
    7.5.4. SWOT Analysis
    7.5.5. Key Strategies and Developments7.6. AMD

    7.6.1. Company Overview
    7.6.2. Financial Highlights
    7.6.3. Product Portfolio
    7.6.4. SWOT Analysis
    7.6.5. Key Strategies and Developments7.7. NVIDIA

    7.7.1. Company Overview
    7.7.2. Financial Highlights
    7.7.3. Product Portfolio
    7.7.4. SWOT Analysis
    7.7.5. Key Strategies and Developments7.8. ARM

    7.8.1. Company Overview
    7.8.2. Financial Highlights
    7.8.3. Product Portfolio
    7.8.4. SWOT Analysis
    7.8.5. Key Strategies and Developments7.9. Qualcomm

    7.9.1. Company Overview
    7.9.2. Financial Highlights
    7.9.3. Product Portfolio
    7.9.4. SWOT Analysis
    7.9.5. Key Strategies and Developments7.10. IBM

    7.10.1. Company Overview
    7.10.2. Financial Highlights
    7.10.3. Product Portfolio
    7.10.4. SWOT Analysis
    7.10.5. Key Strategies and Developments7.11. Graphcore

    7.11.1. Company Overview
    7.11.2. Financial Highlights
    7.11.3. Product Portfolio
    7.11.4. SWOT Analysis
    7.11.5. Key Strategies and Developments7.12. BrainChip

    7.12.1. Company Overview
    7.12.2. Financial Highlights
    7.12.3. Product Portfolio
    7.12.4. SWOT Analysis
    7.12.5. Key Strategies and Developments7.13. Mobileye

    7.13.1. Company Overview
    7.13.2. Financial Highlights
    7.13.3. Product Portfolio
    7.13.4. SWOT Analysis
    7.13.5. Key Strategies and Developments7.14. Wave Computing

    7.14.1. Company Overview
    7.14.2. Financial Highlights
    7.14.3. Product Portfolio
    7.14.4. SWOT Analysis
    7.14.5. Key Strategies and Developments7.15. CEVA

    7.15.1. Company Overview
    7.15.2. Financial Highlights
    7.15.3. Product Portfolio
    7.15.4. SWOT Analysis
    7.15.5. Key Strategies and Developments7.16. Movidius

    7.16.1. Company Overview
    7.16.2. Financial Highlights
    7.16.3. Product Portfolio
    7.16.4. SWOT Analysis
    7.16.5. Key Strategies and Developments7.17. Nervana Systems

    7.17.1. Company Overview
    7.17.2. Financial Highlights
    7.17.3. Product Portfolio
    7.17.4. SWOT Analysis
    7.17.5. Key Strategies and Developments7.18. Amazon

    7.18.1. Company Overview
    7.18.2. Financial Highlights
    7.18.3. Product Portfolio
    7.18.4. SWOT Analysis
    7.18.5. Key Strategies and Developments7.19. Cerebras Systems

    7.19.1. Company Overview
    7.19.2. Financial Highlights
    7.19.3. Product Portfolio
    7.19.4. SWOT Analysis
    7.19.5. Key Strategies and Developments7.20. Facebook

    7.20.1. Company Overview
    7.20.2. Financial Highlights
    7.20.3. Product Portfolio
    7.20.4. SWOT Analysis
    7.20.5. Key Strategies and Developments

    8. Assumptions and Acronyms
    9. Research Methodology
    10. Contact

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    Research Insights & Deliverables
    • Development and Future ForecastDevelopment and Future Forecast
    • Competitive benchmarkingCompetitive benchmarking
    • Company Revenue StatisticsCompany Revenue Statistics
    • Rising Regional OpportunitiesRising Regional Opportunities
    • Technology Trends and DynamicsTechnology Trends and Dynamics
    • Technology AssessmentTechnology Assessment