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市場調查報告書

企業用深度學習:深度學習軟體及系統

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

出版商 Tractica 商品編碼 344199
出版日期 內容資訊 英文 85 Pages; 102 Tables, Charts & Figures
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企業用深度學習:深度學習軟體及系統 Deep Learning for Enterprise Applications: Advertising Technology, Financial Services, Media, Manufacturing, Oil & Gas, Retail, and Other Enterprise Markets for Deep Learning Software and Systems
出版日期: 2015年10月28日 內容資訊: 英文 85 Pages; 102 Tables, Charts & Figures
簡介

深度學習的企業用軟體的年度收益,預計從2015年的1億900萬美元,到2024年擴大到104億美元。由於市場直接的軟體支出,加上包含支援服務和IT硬體設備投資的深度學習軟體投資所促進,年度收益預計從2015年到2024年之間超過1,000億美元。

本報告提供15個產業上深度學習市場相關調查、10年的收益預測、軟體收益、業務收益及硬體設備銷售額的預測、遞送手段 (雲端,設備及資料中心) 、各地區的預測,及全球深度學習市場上20家主要企業簡介。

第1章 摘要整理

第2章 市場課題

  • 市場促進因素
    • 數位化社會
    • 機器學習研究中的大幅改善
    • 硬體設備速度的飛躍性進步
    • 為何現在發生?
  • 市場障礙
    • 討論
    • 非現實性的期待
    • 神經科學的初期階段
    • 有經驗的人力資源不足
    • 軟體的限制
    • 社會習慣的限制
    • 正確資料的必要性
    • 市場障礙的結論
  • 產業概要
    • 深度學習已經成為競爭上的優點的產業
      • 廣告服務
      • 機關投資
      • 媒體
    • 深度學習可能會成為競爭上的優點的產業
      • 醫療診斷
      • 消費者金融
      • 網路、資料儲存
      • 石油&天然氣
    • 深度學習可能破壞現狀的產業
      • 汽車
      • 農業
      • 高等教育
      • 醫療
      • 法律
      • 製造
      • 社會服務
      • 零售
      • 產業概要的結論
  • 經營模式

第3章 技術課題

  • 機器學習和深度學習的差異
    • 機器學習的歷史
    • 深度學習的歷史
    • 結構化資料 vs. 非結構化資料
    • 有教師的學習 vs. 沒教師的學習
    • 既知的知識 vs. 未知的知識
  • 機器學習範例
  • 深度學習範例
  • 深度學習如何變更技術
    • 新的編程範例
    • 設計本身的產品
    • 結論

第4章 主要加入企業

  • 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 市場預測

  • 預測手法
  • 全球經濟的成長率
  • 全球深度學習市場預測
    • 深度學習軟體、服務,及硬體設備的總收益
    • 深度學習軟體收益
  • 深度學習軟體收益:各遞送手法
  • 深度學習軟體收益:各產業
    • 廣告服務
    • 汽車
    • 農業
    • 消費者金融
    • 資料儲存、網路產業
    • 教育
    • 投資
    • 醫療
    • 法律
    • 製造
    • 媒體
    • 醫療診斷
    • 石油與天然氣
    • 社會服務
    • 零售
  • 深度學習主導服務
    • 安裝
    • 訓練
    • 定做
    • 應用整合
    • 維修、支援
  • 深度學習主導硬體設備收益
    • 雲端
    • GPU晶片
    • 電腦
    • 網路產品
    • 儲存裝置
  • 結論、建議

第6章 企業彙編

第7章 用語

第8章 目錄

第9章 圖表

第10章 調查範圍、資訊來源、調查手法、註記

圖表

目錄
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

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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
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