世界各国のリアルタイムなデータ・インテリジェンスで皆様をお手伝い

会員登録

マイページ

世界の深層学習(ディープラーニング)向けチップセット市場の分析と予測:トレーニングと推論用途向けCPU、GPU、FPGA、ASIC、その他のチップセット

Deep Learning Chipsets

CPUs, GPUs, FPGAs, ASICs, and Other Chipsets for Training and Inference Applications: Global Market Analysis and Forecasts

 

出版社 出版年月電子媒体価格ページ数図表数
Tractica LLC.
トラクティカ社
2017年3月US$4,200
ベーシックライセンス
81 139

サマリー

この調査レポートは深層学習(ディープラーニング)向けチップセットを市場と技術、2つの視点から解説しています。応用市場とチップセットについて、カテゴリ別に2016年から2025年までの市場予測を行っています。現在深層学習に使われているチップセットのタイプや今後の変化、クラウド/データセンタVSエッジデバイスの深層学習向けチップセットの市場機会、どの市場部門と産業が深層学習向けチップセット需要を左右するか、などを分析しています。

主な掲載内容 ※目次より抜粋

  1. エグゼクティブサマリー
  2. 市場課題
    1. 市場成長促進要因
    2. 市場成長阻害要因と課題
    3. 主要市場と用途
    4. 地域差
  3. 技術課題
    1. AIと深層学習
    2. 深層学習:チップセットの主要コンセプトと影響
    3. 数理問題としての深層学習
    4. 深層学習向けチップセット
      1. CPU(中央処理装置)
      2. GPU(画像処理ユニット)
      3. FPGA(フィールドプログラマブルゲートユニット)
      4. ASIC(特定用途向け集積回路
  4. 産業の主要企業21社
  5. 市場予測
    1. チップセットタイプ別出荷台数
    2. チップセットタイプ別収益
    3. 収益:訓練 Vs. 推論
    4. 計算能力別収益
    5. 電力消費別収益
    6. チップセット別平均販売価格
    7. 市場部門別収益

Report Details

Deep learning technology is driving the evolution of artificial intelligence (AI) and has become one of the hottest topics of discussion within the technology world and beyond. Given the rate at which deep learning is progressing, some industry observers are predicting it will bring about a doomsday scenario, while others strive for a time when the technology can transform business processes and create new business models through scalable, efficient automation and predictive capabilities.  Against the backdrop of rapid technological development, the current market climate is ripe for innovation in hardware in general, and chipsets more specifically.  The chipset market today is led by graphics processing units (GPUs) and central processing units (CPUs), but during the coming years there will be an expanded role for other chipset types including application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), and other emerging chipsets.

Deep learning technology has primarily been a software play so far. The need for hardware acceleration was recognized in academia, but few companies ventured into developing specialized chipsets until now. AI applications demand higher performance and lower power. The world’s top semiconductor companies as well as a number of startups have jumped into the race to meet these demands and this report attempts to capture state-of-the-art offerings currently available in the industry.  Tractica forecasts that the deep learning chipset market revenue will increase from $513 million in 2016 to $12.2 billion by 2025 at a compound annual growth rate (CAGR) of 42.2%.

This Tractica report discusses deep learning chipsets from the points of view of both the market and the technology. Tractica segments the application markets, as well as the chipsets themselves by category, and provides market forecasts for the period from 2016 through 2025. Deep learning technology as it pertains to chipsets is very technical and Tractica explains the various approaches different vendors are taking to solve the problem and the tradeoffs involved. A comprehensive listing of the companies in this market is also provided.

Key Questions Addressed:

  • What is the mix of chipset types being used for deep learning today, and how will it change during the next 10 years?
  • Which chipset types are most appropriate for training versus inference applications?
  • What will be the power consumption and compute capacity profiles of chipsets used for various deep learning applications?
  • What is the market opportunity for deep learning chipsets in cloud/data center environments versus edge devices?
  • Which market sectors and industries will drive demand for deep learning chipsets?
  • What is the state of technology development for deep learning chipsets, and who are the key industry players driving innovation?

Who Needs This Report?

  • Semiconductor and component manufacturers
  • Service providers and systems integrators
  • End-user organizations deploying deep learning systems
  • Industry associations
  • Government agencies
  • Investor community


目次

Table of Contents

  1. Executive Summary
    1. Market Development
    2. Background
    3. Critique of Deep Learning in Hardware
    4. Market Segmentation
      1. Segmentation by Architecture
      2. Segmentation Based on Training versus Inference
      3. Segmentation Based on Compute Capacity
      4. Segmentation Based on Power Consumption
      5. Neuromorphic Chipsets
    5. Technology Parameters
      1. Performance
      2. Power
      3. Performance per Watt
      4. Programmability
      5. Intellectual Property and Ecosystem
      6. Development Tools
      7. Floating and Fixed Point Support
    6. Market Forecasts
  2. Market Issues
    1. Market Drivers
      1. Exponential Growth in the Number of Enterprise Artificial Intelligence Applications
      2. Computer Vision Applications
      3. Embedded Devices
      4. Accelerated Computing
    2. Market Barriers and Challenges
      1. Development Costs
      2. Availability of Expertise
      3. Time to Market
    3. Key Markets and Applications
      1.  Consumer
      2. Enterprise
      3. Industrial
      4. Transportation
      5. Defense
      6. Other
    4. Regional Differences
  3. Technology Issues
    1. Artificial Intelligence and Deep Learning
    2. Deep Learning: Key Concepts and Implications for Chipsets
      1. Feedforward Networks versus Recurrent Networks
      2. Convolutional Neural Network
      3. Long Short-Term Memory
    3. Deep Learning in Terms of Mathematical Problems
      1. Classification
      2. Regression
      3. Transcription
      4. Machine Translation
      5. Anomaly Detection
    4. Training versus Inference
    5. Supervised versus Unsupervised Training
    6. Chipsets for Deep Learning
      1. Central Processing Units
      2. Graphics Processing Units
      3. Field Programmable Gate Arrays
      4. Application Specific Integrated Circuits
    7. Low Precision, Fixed Point, and Floating Point
    8. Deep Learning Development Frameworks
    9. OpenCL and CUDA
    10. Deep Learning WorkstationsNeuromorphic Processing
    11. Universities and Research Institutions
  4. Key Industry Players
    1. Google
    2. Intel
    3. TeraDeep
    4. Xilinx
    5. AMD
    6. NVIDIA
    7. ARM
    8. Qualcomm
    9. IBM
    10. Graphcore
    11. BrainChip
    12. Knowm
    13. KnuEdge
    14. Mobileye
    15. Artificial Learning
    16. Wave Computing
    17. CEVA
    18. Movidius
    19. Nervana Systems
    20. Amazon
    21. Facebook
  5. Market Forecasts
    1. Forecast Methodology and Assumptions
    2. Overall Market
    3. Unit Shipments by Chipset Type
    4. Revenue by Chipset Type
    5. Revenue by Training versus Inference
    6. Revenue by Compute Capacity
    7. Revenue by Power Consumption
    8. Average Selling Price by Chipset Type
    9. Revenue by Market Sector
    10. Central Processing Units
    11. Graphics Processing Units
    12. Application-Specific Integrated Circuits
    13. Field Programmable Gate Arrays
    14. Other Chipsets
    15. Conclusion
  6. Company Directory
  7. Acronym and Abbreviation List
  8. Table of Contents
  9. Table of Charts and Figures
  10. Scope of Study, Sources and Methodology, Notes

List of Charts, Figures, and Tables

Charts
  • Deep Learning Chipset Revenue by Type, World Markets: 2016-2025
  • Deep Learning Chipset Revenue by Region, World Markets: 2016-2025
  • Deep Learning Chipset Year-on-Year Revenue Growth Rates, World Markets: 2016-2025
  • Deep Learning Chipset Unit Shipments by Type, World Markets: 2016-2025
  • Deep Learning Chipset Revenue by Type, World Markets: 2016-2025
  • Deep Learning Chipset Revenue, Inference versus Training, World Markets: 2016-2025
  • Deep Learning Chipset Revenue by Compute Capacity, World Markets: 2016-2025
  • Deep Learning Chipset Revenue by Power Consumption, World Markets: 2016-2025
  • Deep Learning Chipset Average Selling Price by Type, World Markets: 2016-2025
  • Deep Learning Chipset Revenue by Market Sector, World Markets: 2016-2025
  • Deep Learning CPU Unit Shipments and Revenue, World Markets: 2016-2025
  • Deep Learning GPU Unit Shipments and Revenue, World Markets: 2016-2025
  • Deep Learning ASIC Unit Shipments and Revenue, World Markets: 2016-2025
  • Deep Learning FPGA Unit Shipments and Revenue, World Markets: 2016-2025
  • Deep Learning Other Chipset Unit Shipments and Revenue, World Markets: 2016-2025
  • Deep Learning Chipset Revenue by Industry, World Markets: 2016-2025
  • Deep Learning CPU Revenue by Region, World Markets: 2016-2025
  • Deep Learning CPU Revenue by Compute Capacity, World Markets: 2016-2025
  • Deep Learning CPU Revenue by Power Consumption, World Markets: 2016-2025
  • Deep Learning CPU Revenue, Inference versus Training, World Markets: 2016-2025
  • Deep Learning CPU Revenue by Market Sector, World Markets: 2016-2025
  • Deep Learning GPU Revenue by Region, World Markets: 2016-2025
  • Deep Learning GPU Revenue by Compute Capacity, World Markets: 2016-2025
  • Deep Learning GPU Revenue by Power Consumption, World Markets: 2016-2025
  • Deep Learning GPU Revenue, Inference versus Training, World Markets: 2016-2025
  • Deep Learning GPU Revenue by Market Sector, World Markets: 2016-2025
  • Deep Learning FPGA Revenue by Region, World Markets: 2016-2025
  • Deep Learning FPGA Revenue by Compute Capacity, World Markets: 2016-2025
  • Deep Learning FPGA Revenue by Power Consumption, World Markets: 2016-2025
  • Deep Learning FPGA Revenue, Inference versus Training, World Markets: 2016-2025
  • Deep Learning FPGA Revenue by Market Sector, World Markets: 2016-2025
  • Deep Learning Other Chipset Revenue by Region, World Markets: 2016-2025
  • Deep Learning Other Chipset Revenue by Compute Capacity, World Markets: 2016-2025
  • Deep Learning Other Chipset Revenue by Power Consumption, World Markets: 2016-2025
  • Deep Learning Other Chipset Revenue, Inference versus Training, World Markets: 2016-2025
  • Deep Learning Other Chipset Revenue by Market Sector, World Markets: 2016-2025
  • Deep Learning Chipset Enterprise Sector Revenue by Region, World Markets: 2016-2025
  • Deep Learning Chipset Enterprise Sector Year-on-Year Revenue Growth Rates, World Markets: 2016-2025
  • Deep Learning Chipset Enterprise Sector Revenue by Type, World Markets: 2016-2025
  • Deep Learning Chipset Enterprise Sector Revenue by Power Consumption, World Markets: 2016-2025
  • Deep Learning Chipset Enterprise Sector Revenue by Compute Capacity, World Markets: 2016-2025
  • Deep Learning Chipset Enterprise Sector Revenue, Inference versus Training, World Markets: 2016-2025
  • Deep Learning Chipset Consumer Sector Revenue by Region, World Markets: 2016-2025
  • Deep Learning Chipset Consumer Sector Year-on-Year Revenue Growth Rates, World Markets: 2016-2025
  • Deep Learning Chipset Consumer Sector Revenue by Type, World Markets: 2016-2025
  • Deep Learning Chipset Consumer Sector Revenue by Power Consumption, World Markets: 2016-2025
  • Deep Learning Chipset Consumer Sector Revenue by Compute Capacity, World Markets: 2016-2025
  • Deep Learning Chipset Consumer Sector Revenue, Inference versus Training, World Markets: 2016-2025
  • Deep Learning Chipset Defense Sector Revenue by Region, World Markets: 2016-2025
  • Deep Learning Chipset Defense Sector Year-on-Year Revenue Growth Rates, World Markets: 2016-2025
  • Deep Learning Chipset Defense Sector Revenue by Type, World Markets: 2016-2025
  • Deep Learning Chipset Defense Sector Revenue by Power Consumption, World Markets: 2016-2025
  • Deep Learning Chipset Defense Sector Revenue by Compute Capacity, World Markets: 2016-2025
  • Deep Learning Chipset Defense Sector Revenue, Inference versus Training, World Markets: 2016-2025
Figures
  • Evolution of Artificial Intelligence
  • Number of Companies Working with NVIDIA on Deep Learning
  • System Considerations When Choosing a Hardware Platform
  • Suitability of Different Chipsets for Training and Inference
  • CNN Algorithms Shown to Increase Accuracy of Vehicle Detection
  • Venn Diagram Describing Various Technologies in Deep Learning
  • Feedforward Network versus Recurrent Neural Network
  • A CNN Used for Image Recognition
  • Training versus Inference Illustrated
  • Comparison of GPU and CPU performance
  • Power Comparison for NVIDIA GPU Interface Engine
  • Improvement in Deep Learning Speed Algorithms over the last Few Years
  • Power Consumption of CPUs, GPUs, and FPGAs
Tables
  • Deep Learning Chipset Revenue by Region, World Markets: 2016-2025
  • Deep Learning Chipset Year-on-Year Revenue Growth Rates, World Markets: 2016-2025
  • Deep Learning Chipset Revenue by Type, World Markets: 2016-2025
  • Deep Learning Chipset Average Selling Price by Type, World Markets: 2016-2025
  • Deep Learning Chipset Unit Shipments by Type, World Markets: 2016-2025
  • Deep Learning Chipset Revenue by Market Sector, World Markets: 2016-2025
  • Deep Learning Chipset Revenue by Power Consumption, World Markets: 2016-2025
  • Deep Learning Chipset Revenue by Compute Capacity, World Markets: 2016-2025
  • Deep Learning Chipset Revenue, Inference versus Training, World Markets: 2016-2025
  • Deep Learning Chipset Revenue by Industry, World Markets: 2016-2025
  • Deep Learning CPU Revenue, World Markets: 2016-2025
  • Deep Learning CPU Average Selling Price, World Markets: 2016-2025
  • Deep Learning CPU Unit Shipments, World Markets: 2016-2025
  • Deep Learning CPU Revenue by Region, World Markets: 2016-2025
  • Deep Learning CPU Revenue by Compute Capacity, World Markets: 2016-2025
  • Deep Learning CPU Revenue by Power Consumption, World Markets: 2016-2025
  • Deep Learning CPU Revenue, Inference versus Training, World Markets: 2016-2025
  • Deep Learning CPU Revenue by Market Sector, World Markets: 2016-2025
  • Deep Learning GPU Revenue, World Markets: 2016-2025
  • Deep Learning GPU Average Selling Price, World Markets: 2016-2025
  • Deep Learning GPU Unit Shipments, World Markets: 2016-2025
  • Deep Learning GPU Revenue by Region, World Markets: 2016-2025
  • Deep Learning GPU Revenue by Compute Capacity, World Markets: 2016-2025
  • Deep Learning GPU Revenue by Power Consumption, World Markets: 2016-2025
  • Deep Learning GPU Revenue, Inference versus Training, World Markets: 2016-2025
  • Deep Learning GPU Revenue by Market Sector, World Markets: 2016-2025
  • Deep Learning FPGA Revenue, World Markets: 2016-2025
  • Deep Learning FPGA Average Selling Price, World Markets: 2016-2025
  • Deep Learning FPGA Unit Shipments, World Markets: 2016-2025
  • Deep Learning FPGA Revenue by Region, World Markets: 2016-2025
  • Deep Learning FPGA Revenue by Compute Capacity, World Markets: 2016-2025
  • Deep Learning FPGA Revenue by Power Consumption, World Markets: 2016-2025
  • Deep Learning FPGA Revenue, Inference versus Training, World Markets: 2016-2025
  • Deep Learning FPGA Revenue by Market Sector, World Markets: 2016-2025
  • Deep Learning ASIC Revenue, World Markets: 2016-2025
  • Deep Learning ASIC Average Selling Price, World Markets: 2016-2025
  • Deep Learning ASIC Unit Shipments, World Markets: 2016-2025
  • Deep Learning ASIC Revenue by Region, World Markets: 2016-2025
  • Deep Learning ASIC Revenue by Compute Capacity, World Markets: 2016-2025
  • Deep Learning ASIC Revenue by Power Consumption, World Markets: 2016-2025
  • Deep Learning ASIC Revenue, Inference versus Training, World Markets: 2016-2025
  • Deep Learning ASIC Revenue by Market Sector, World Markets: 2016-2025
  • Deep Learning Other Chipset Revenue, World Markets: 2016-2025
  • Deep Learning Other Chipset Average Selling Price, World Markets: 2016-2025
  • Deep Learning Other Chipset Unit Shipments, World Markets: 2016-2025
  • Deep Learning Other Chipset Revenue by Region, World Markets: 2016-2025
  • Deep Learning Other Chipset Revenue by Compute Capacity, World Markets: 2016-2025
  • Deep Learning Other Chipset Revenue by Power Consumption, World Markets: 2016-2025
  • Deep Learning Other Chipset Revenue, Inference versus Training, World Markets: 2016-2025
  • Deep Learning Other Chipset Revenue by Market Sector, World Markets: 2016-2025
  • Deep Learning Chipset Enterprise Sector Revenue by Region, World Markets: 2016-2025
  • Deep Learning Chipset Enterprise Sector Year-on-Year Revenue Growth Rates, World Markets: 2016-2025
  • Deep Learning Chipset Enterprise Sector Revenue by Type, World Markets: 2016-2025
  • Deep Learning Chipset Enterprise Sector Revenue by Power Consumption, World Markets: 2016-2025
  • Deep Learning Chipset Enterprise Sector Revenue by Compute Capacity, World Markets: 2016-2025
  • Deep Learning Chipset Enterprise Sector Revenue, Inference versus Training, World Markets: 2016-2025
  • Deep Learning Chipset Consumer Sector Revenue by Region, World Markets: 2016-2025
  • Deep Learning Chipset Consumer Sector Year-on-Year Revenue Growth Rates, World Markets: 2016-2025
  • Deep Learning Chipset Consumer Sector Revenue by Type, World Markets: 2016-2025
  • Deep Learning Chipset Consumer Sector Revenue by Power Consumption, World Markets: 2016-2025
  • Deep Learning Chipset Consumer Sector Revenue by Compute Capacity, World Markets: 2016-2025
  • Deep Learning Chipset Consumer Sector Revenue, Inference versus Training, World Markets: 2016-2025
  • Deep Learning Chipset Defense Sector Revenue by Region, World Markets: 2016-2025
  • Deep Learning Chipset Defense Sector Year-on-Year Revenue Growth Rates, World Markets: 2016-2025
  • Deep Learning Chipset Defense Sector Revenue by Type, World Markets: 2016-2025
  • Deep Learning Chipset Defense Sector Revenue by Power Consumption, World Markets: 2016-2025
  • Deep Learning Chipset Defense Sector Revenue by Compute Capacity, World Markets: 2016-2025
  • Deep Learning Chipset Defense Sector Revenue, Inference versus Training, World Markets: 2016-2025
  • Key Players in Different Deep Learning Chipsets
  • Comparison of Deep Learning Chipset Parameters
  • Overview of Deep Learning Frameworks
  • Percentage of Developers Frequently Using Various Deep Learning Frameworks

 

ページTOPに戻る

あなたが最近チェックしたレポート一覧

  • 最近チェックしたレポートはありません。

お問い合せは、お電話・メール・WEBから承ります。お見積もりの作成もお気軽にご相談ください。

webからのお問い合せはこちらのフォームから承ります

office@dri.co.jp

 

ページTOPに戻る