表紙
市場調査レポート

企業用ディープラーニング:ディープラーニングソフトウェアおよびシステム

Deep Learning for Enterprise Applications: Advertising Technology, Financial Services, Media, Manufacturing, Oil & Gas, Retail, and Other Enterprise Markets for Deep Learning Software and Systems

発行 Tractica 商品コード 344199
出版日 ページ情報 英文 85 Pages; 102 Tables, Charts & Figures
即納可能
価格
本日の銀行送金レート: 1USD=102.12円で換算しております。
Back to Top
企業用ディープラーニング:ディープラーニングソフトウェアおよびシステム Deep Learning for Enterprise Applications: Advertising Technology, Financial Services, Media, Manufacturing, Oil & Gas, Retail, and Other Enterprise Markets for Deep Learning Software and Systems
出版日: 2015年10月28日 ページ情報: 英文 85 Pages; 102 Tables, Charts & Figures
担当者のコメント
Tracticaは、時代を先取りした商品ラインナップを展開する市場調査会社です。レポートを分野別にまとめてご購入できる『年間契約型レポートパッケージ』もございます。既刊のオートメーションおよびロボティクス関連レポート10冊に2016年発行予定の新刊12冊を加えた22冊をたった6冊分の価格でお求めいただける大変お得なセットです。専門アナリストのサポートも受けられる納得のコストパフォーマンスですので、是非合わせてご検討下さい。
概要

ディープラーニングの企業用ソフトウェアの年間収益は、2015年の1億900万米ドルから、2024年に104億米ドルへ拡大する見込みです。市場は直接のソフトウェア支出に加え、サポートサービスやITハードウェア投資を含めたディープラーニングソフトウェア投資に促進され、年間収益は2015年から2024年の間に1,000億米ドルを上回る見込みです。

当レポートでは、15産業におけるディープラーニング市場について調査し、10年間の収益予測、ソフトウェア収益、サービス収益およびハードウェア売上の予測、デリバリー手段 (クラウド、デバイスおよびデータセンター) ・地域別の予測、および世界のディープラーニング市場における主要企業20社のプロファイルを提供しています。

第1章 エグゼクティブサマリー

第2章 市場課題

  • 市場成長推進因子
    • デジタル化社会
    • マシンラーニングアルゴリズムにおける大きな改善
    • ハードウェア速度の飛躍的な進歩
    • なぜ今起こっているのか?
  • 市場障壁
    • 議論
    • 非現実的な期待
    • 神経科学の初期段階
    • 経験ある人材の不足
    • ソフトウェアの制限
    • 社会習慣の制限
    • 正確なデータの必要性
    • 市場障壁の結論
  • 産業概要
    • ディープラーニングが既に競争上のメリットとなっている産業
      • 広告サービス
      • 機関投資
      • メディア
    • ディープラーニングが競争上のメリットになりそうな産業
      • 医療診断
      • 消費者金融
      • ネットワーク・データストレージ
      • 石油・ガス
    • ディープラーニングが現状を破壊する可能性のある産業
      • 自動車
      • 農業
      • 高等教育
      • 医療
      • 法律
      • 製造
      • 社会奉仕
      • 小売り
      • 産業概要の結論
  • ビジネスモデル

第3章 技術課題

  • マシンラーニング (機械学習) とディープラーニング (深層学習) の違い
    • マシンラーニングの歴史
    • ディープラーニングの歴史
    • 構造化データ vs. 非構造化データ
    • 教師あり学習 vs. 教師なし学習
    • 既知の知識 vs. 未知の知識
  • マシンラーニングの例
  • ディープラーニングの例
  • ディープラーニングはいかにして技術を変更するか
    • 新しいプログラミングパラダイム
    • 自身を設計する製品
    • 結論

第4章 主要参入企業

  • Apple
  • Baidu
  • Clarifai
  • Declara
  • DigitalGenius
  • Ersatz Labs
  • Facebook
  • Google
  • H2O.ai
  • IBM
  • Intel
  • MetaMind
  • Microsoft
  • Mobileye
  • Nervana Systems
  • NVIDIA
  • Qualcomm
  • Sentient Technologies
  • SignalSense
  • Skymind

第5章 市場予測

  • 予測手法
  • 世界経済の成長率
  • 世界のディープラーニング市場予測
    • ディープラーニングソフトウェア、サービス、およびハードウェアの総収益
    • ディープラーニングソフトウェア収益
  • ディープラーニングソフトウェア収益:デリバリー手法別
  • ディープラーニングソフトウェア収益:産業別
    • 広告サービス
    • 自動車
    • 農業
    • 消費者金融
    • データストレージ・ネットワーキング産業
    • 教育
    • 投資
    • 医療
    • 法律
    • 製造
    • メディア
    • 医療診断
    • 石油 & ガス
    • 社会奉仕
    • 小売り
  • ディープラーニング主導サービス
    • インストール
    • トレーニング
    • オーダーメイド
    • アプリケーション統合
    • メンテナンス・サポート
  • ディープラーニング主導ハードウェア収益
    • クラウド
    • GPUチップ
    • コンピューター
    • ネットワーク製品
    • ストレージデバイス
  • 結論・提言

第6章 企業総覧

第7章 用語

第8章 目次

第9章 図表

第10章 調査範囲・情報源・調査手法・注記

図表

目次
Product Code: DLE-15

Deep learning has emerged as one of the most significant enabling technologies in the world of artificial intelligence (AI). As a branch of the broader discipline of machine learning, deep learning models a biological system by creating a simulated software network of mathematical neurons. The function of the simulated neural net corresponds, very roughly, to the function of neurons in human and other animal brains, and the model builds a system that is capable of adapting itself to new data. While the concept for biologically-inspired computer programs dates back to at least 1950, and technology development in the machine learning space has experienced several ups and downs during the ensuing decades, rapid advances in the field are now being spurred by three key market trends: (1) vast increases in the amount of data, (2) significant improvements in machine learning algorithms, and (3) exponential advances in hardware speed.

Deep learning is already proving its value in sectors like advertising services, investments, and media. Thanks to the growth of areas like electronic medical records (EMRs), wearable devices, and the Internet of Things (IoT), deep learning will have an increasingly greater impact on sectors such as medicine, manufacturing, consumer finance, networking and data storage, and oil and gas. It also has the potential to impact more traditional industries, and some that have not seen much change in decades, such as automotive, agriculture, education, law, philanthropies, and retail. Tractica forecasts that annual software revenue for enterprise applications of deep learning will increase from $109 million in 2015 to $10.4 billion in 2024. The total market driven by deep learning software investments, including support services and IT hardware investments in addition to direct software spending, will surpass $100 billion in annual revenue during the same timeframe.

This Tractica report examines the market for deep learning across 15 industry sectors, including 10-year revenue forecasts for the period from 2015 through 2024. The report forecasts software revenue, services revenue, and hardware sales, and provides segmentation by delivery method (cloud, device, and data center) as well as world region. The report also includes profiles of 20 key industry players in the global deep learning market.

Key Market Forecasts

  • Deep Learning Total Revenue by Segment, World Markets: 2015-2024
  • Deep Learning Software Revenue by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue by Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue by Industry, World Markets: 2015-2024
  • Deep-Learning-Driven Services Revenue by Service Category and Region, World Markets: 2015-2024
  • Deep-Learning-Driven Hardware Revenue by Product Category and Region, World Markets: 2015-2024

Industries

  • Ad Service Technology
  • Agriculture
  • Automotive
  • Consumer Finance
  • Data Storage and Networking
  • Education
  • Healthcare
  • Investment
  • Legal
  • Manufacturing
  • Media
  • Medical Diagnostics
  • Oil and Gas
  • Philanthropies
  • Retail

Service Categories

  • Installation
  • Training
  • Customization
  • Application Integration
  • Support and Maintenance

Hardware Product Categories

  • Cloud Service
  • Compute Products
  • GPU Chips
  • Network Products
  • Storage Devices

image1

Key Questions Addressed

  • What is the difference between machine learning and deep learning?
  • How is deep learning being used today in the enterprise environment?
  • What is the future potential of deep learning in various industry sectors?
  • What will be the mix of delivery methods for deep learning - cloud vs. device vs. data center?
  • What is the competitive landscape of deep learning technology companies, and which are best-positioned to succeed in the market?
  • Which enterprise applications will see the greatest benefits from deep learning?

Who Needs This Report?

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

Table of Contents

1. Executive Summary

  • 1.1. Introduction
  • 1.2. Why Deep Learning Technology Is Important
  • 1.3. Market Forecast
    • 1.3.1. Total Revenue for Deep Learning Software, Services, and Hardware
    • 1.3.2. Deep Learning Software Revenue

2. Market Issues

  • 2.1. Market Drivers
    • 2.1.1. Digitization of Society
    • 2.1.2. Significant Improvement in Machine Learning Algorithms
    • 2.1.3. Exponential Advances in Hardware Speed
    • 2.1.4. Why Is This Happening Now?
  • 2.2. Market Barriers
    • 2.2.1. Controversy
    • 2.2.2. Unrealistic Expectations
    • 2.2.3. The Infancy of Neuroscience
    • 2.2.4. Lack of Experienced Talent
    • 2.2.5. Limitations of Software
    • 2.2.6. Restrictions of Social Conventions
    • 2.2.7. Need for Accurate Data
    • 2.2.8. Market Barrier Conclusions
  • 2.3. Industry Overview
    • 2.3.1. Industries Where Deep Learning Is Already a Competitive Advantage
      • 2.3.1.1. Ad Services
      • 2.3.1.2. Institutional Investment
      • 2.3.1.3. Media
    • 2.3.2. Industries Where Deep Learning Is Likely to Become a Competitive Advantage
      • 2.3.2.1. Medical Diagnostics
      • 2.3.2.2. Consumer Finance
      • 2.3.2.3. Networking and Data Storage
      • 2.3.2.4. Oil and Gas
    • 2.3.3. Industries Where Deep Learning Could Disrupt the Status Quo
      • 2.3.3.1. Automotive
      • 2.3.3.2. Agriculture
      • 2.3.3.3. Higher Education
      • 2.3.3.4. Healthcare
      • 2.3.3.5. Legal
      • 2.3.3.6. Manufacturing
      • 2.3.3.7. Philanthropies
      • 2.3.3.8. Retail
      • 2.3.3.9. Industry Overview Conclusion
  • 2.4. Business Models

3. Technology Issues

  • 3.1. The Difference between Machine Learning and Deep Learning
    • 3.1.1. History of Machine Learning
    • 3.1.2. History of Deep Learning
    • 3.1.3. Structured Data versus Unstructured Data
    • 3.1.4. Supervised versus Unsupervised Learning
    • 3.1.5. Known Knowledge versus Unknown Knowledge
  • 3.2. An Example of Machine Learning
  • 3.3. An Example of Deep Learning
  • 3.4. How Deep Learning Will Change Technology
    • 3.4.1. A New Programming Paradigm
    • 3.4.2. Products that Design Themselves
    • 3.4.3. Conclusion

4. Key Industry Players

  • 4.1. Apple
  • 4.2. Baidu
  • 4.3. Clarifai
  • 4.4. Declara
  • 4.5. DigitalGenius
  • 4.6. Ersatz Labs
  • 4.7. Facebook
  • 4.8. Google
  • 4.9. H2O.ai
  • 4.10. IBM
  • 4.11. Intel
  • 4.12. MetaMind
  • 4.13. Microsoft
  • 4.14. Mobileye
  • 4.15. Nervana Systems
  • 4.16. NVIDIA
  • 4.17. Qualcomm
  • 4.18. Sentient Technologies
  • 4.19. SignalSense
  • 4.20. Skymind

5. Market Forecasts

  • 5.1. Forecast Methodology
  • 5.2. Global Economic Growth Rates
  • 5.3. Global Deep Learning Market Forecasts
    • 5.3.1. Total Revenue for Deep Learning Software, Services, and Hardware
    • 5.3.2. Deep Learning Software Revenue
  • 5.4. Deep Learning Software Revenue by Delivery Method
  • 5.5. Deep Learning Software Revenue by Industry
    • 5.5.1. Deep Learning in the Ad Service Industry
    • 5.5.2. Deep Learning in the Automotive Industry
    • 5.5.3. Deep Learning in the Agriculture Industry
    • 5.5.4. Deep Learning in the Consumer Finance Industry
    • 5.5.5. Deep Learning in the Data Storage and Networking Industry
    • 5.5.6. Deep Learning in the Education Industry
    • 5.5.7. Deep Learning in the Investment Industry
    • 5.5.8. Deep Learning in the Healthcare Industry
    • 5.5.9. Deep Learning in the Legal Industry
    • 5.5.10. Deep Learning in the Manufacturing Industry
    • 5.5.11. Deep Learning in the Media Industry
    • 5.5.12. Deep Learning in the Medical Diagnostics Industry
    • 5.5.13. Deep Learning in the Oil and Gas Industry
    • 5.5.14. Deep Learning in the Philanthropies Industry
    • 5.5.15. Deep Learning in the Retail Industry
  • 5.6. Deep Learning-Driven Services
    • 5.6.1. Deep Learning-Driven Installation Services
    • 5.6.2. Deep Learning-Driven Training Services
    • 5.6.3. Deep Learning-Driven Customization Services
    • 5.6.4. Deep Learning-Driven Application Integration Services
    • 5.6.5. Deep Learning-Driven Maintenance and Support Services
  • 5.7. Deep Learning-Driven Hardware Revenue
    • 5.7.1. Deep Learning-Driven Cloud Revenue
    • 5.7.2. Deep Learning-Driven GPU Chip Revenue
    • 5.7.3. Deep Learning-Driven Compute Revenue
    • 5.7.4. Deep Learning-Driven Network Product Revenue
    • 5.7.5. Deep Learning-Driven Storage Device Revenue
  • 5.8. Conclusions and Recommendations

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

Tables

  • Deep Learning Software Revenue by Region, World Markets: 2015-2024
  • Deep Learning Total Revenue by Segment, World Markets: 2015-2024
  • Estimated Economic Growth Rates by Region, World Markets: 2015-2024
  • Deep Learning Hardware Revenue by Region, World Markets: 2015-2024
  • Deep Learning Services Revenue by Region, World Markets: 2015-2024
  • Deep Learning Total Software, Service, and Hardware Revenue by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue by Industry, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Ad Service Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Automotive Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Agriculture Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Consumer Finance Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Data Storage and Networking Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Education Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Investment Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Healthcare Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Legal Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Manufacturing Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Media Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Medical Diagnostics Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Oil and Gas Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Philanthropies Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Retail Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue by Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Ad Service Industry by Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Automotive Industry by Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Agriculture Industry by Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Consumer Finance Industry by Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Data Storage and Networking Industry by Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Education Industry by Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Investment Industry by Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Healthcare Industry by Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Legal Industry by Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Manufacturing Industry by Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Media Industry by Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Medical Diagnostics Industry by Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Oil and Gas Industry by Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Philanthropies Industry by Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Retail Industry by Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Ad Service Industry by Region and Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Automotive Industry by Region and Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Agriculture Industry by Region and Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Consumer Finance Industry by Region and Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Data Storage and Networking Industry by Region and Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Education Industry by Region and Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Investment Industry by Region and Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Healthcare Industry by Region and Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Legal Industry by Region and Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Manufacturing Industry by Region and Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Media Industry by Region and Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Medical Diagnostics Industry by Region and Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Oil and Gas Industry by Region and Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Philanthropies Industry by Region and Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Retail Industry by Region and Delivery Method, World Markets: 2015-2024
  • Deep Learning-Driven Hardware Revenue by Product Category, World Markets: 2015-2014
  • Deep Learning-Driven Cloud Revenue by Region, World Markets: 2015-2024
  • Deep Learning-Driven Compute Revenue by Region, World Markets: 2015-2024
  • Deep Learning-Driven GPU Chip Revenue by Region, World Markets: 2015-2024
  • Deep Learning-Driven Network Product Revenue by Region, World Markets: 2015-2024
  • Deep Learning-Driven Storage Device Revenue by Region, World Markets: 2015-2024
  • Deep Learning-Driven Services Revenue by Service Category: 2015-2014
  • Deep Learning-Driven Installation Services Revenue by Region, World Markets: 2015-2024
  • Deep Learning-Driven Training Revenue by Region, World Markets: 2015-2024
  • Deep Learning-Driven Customization Revenue by Region, World Markets: 2015-2024
  • Deep Learning-Driven Application Integration Services Revenue by Region, World Markets: 2015-2024
  • Deep Learning-Driven Maintenance and Support Services Revenue by Region, World Markets: 2015-2024
  • Additional Industry Participants

Charts

  • Deep Learning Total Revenue by Segment, World Markets: 2015-2024
  • Deep Learning Software Revenue by Region, World Markets: 2015-2024
  • Estimated Economic Growth Rates by Region, World Markets: 2015-2024
  • Deep Learning Total Revenue by Segment, World Markets: 2015-2024
  • Deep Learning Software Revenue by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue by Delivery Method, World Markets: 2015-2024
  • Deep Learning Software Revenue by Industry, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Ad Service Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Automotive Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Agriculture Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Consumer Finance Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Data Storage and Networking Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Education Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Investment Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Healthcare Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Legal Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Manufacturing Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Media Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Medical Diagnostics Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Oil and Gas Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Philanthropies Industry by Region, World Markets: 2015-2024
  • Deep Learning Software Revenue in the Retail Industry by Region, World Markets: 2015-2024
  • Deep Learning-Driven Services Revenue by Service Category, World Markets: 2015-2024
  • Deep Learning-Driven Installation Services Revenue by Region, World Markets: 2015-2024
  • Deep Learning-Driven Training Revenue by Region, World Markets: 2015-2024
  • Deep Learning-Driven Customization Revenue by Region, World Markets: 2015-2024
  • Deep Learning-Driven Application Integration Services Revenue by Region, World Markets: 2015-2024
  • Deep Learning-Driven Maintenance and Support Services Revenue by Region, World Markets: 2015-2024
  • Deep Learning-Driven Hardware Revenue by Product Category, World Markets: 2015-2024
  • Deep Learning-Driven Cloud Revenue by Region, World Markets: 2015-2024
  • Deep Learning-Driven GPU Chip Revenue by Region, World Markets: 2015-2024
  • Deep Learning-Driven Compute Revenue by Region, World Markets: 2015-2024
  • Deep Learning-Driven Network Product Revenue by Region, World Markets: 2015-2024
  • Deep Learning-Driven Storage Device Revenue by Region, World Markets: 2015-2024

Figures

  • Machine Learning Algorithm Example
  • Deep Learning Algorithm Example
Back to Top