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企業アプリケーション向け深層学習(ディープラーニング):深層学習(ディープラーニング)ソフトウェアとシステム用広告技術、金融サービス、メディア、製造、石油・ガス、小売業、その他企業向け市場

Deep Learning for Enterprise Applications

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

 

出版社 出版年月電子版価格 ページ数図表数
Tractica
トラクティカ
2015年10月US$4,200
1-5ユーザライセンス
85 102

サマリー

この調査レポートは、15の産業セクタにおける深層学習(ディープラーニング)市場を調査し、2015年から2024年までの10年間収益を予測しています。また、ソフトウェア収益、サービス収益、ハードウェア売上についても予測を行い、配信方法(クラウド、機器、データセンタ)毎と世界の地域毎に分けています。世界の深層学習(ディープラーニング)市場における主要産業プレイヤ20社の企業情報も掲載しています。

この調査レポートは、下記のような疑問にも答えています。

  • 機械学習と深層学習(ディープラーニング)の違いとは
  • 深層学習(ディープラーニング)は現在企業でどのように使われているか
  • 様々な産業セクタにおける、深層学習(ディープラーニング)の将来性とは
  • 深層学習(ディープラーニング)の配信方法の組合せはどうなるか - クラウド、機器、データセンタでの比較
  • 深層学習(ディープラーニング)の技術系企業の競争環境とは。そして市場において成功までの最良の位置付けとは
  • 深層学習(ディープラーニング)から最も大きな利益を得る企業アプリケーションは何か

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?

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 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


目次

Table of Contents

  1. Executive Summary
    1. Introduction
    2. Why Deep Learning Technology Is Important
    3. Market Forecast
      1. Total Revenue for Deep Learning Software, Services, and Hardware
      2. Deep Learning Software Revenue
  2. Market Issues
    1. Market Drivers
      1. Digitization of Society
      2. Significant Improvement in Machine Learning Algorithms
      3. Exponential Advances in Hardware Speed
      4. Why Is This Happening Now?
    2. Market Barriers
      1. Controversy
      2. Unrealistic Expectations
      3. The Infancy of Neuroscience
      4. Lack of Experienced Talent
      5. Limitations of Software
      6. Restrictions of Social Conventions
      7. Need for Accurate Data
      8. Market Barrier Conclusions
    3. Industry Overview
      1. Industries Where Deep Learning Is Already a Competitive Advantage
        1. Ad Services
        2. Institutional Investment
        3. Media
      2. Industries Where Deep Learning Is Likely to Become a Competitive Advantage
        1. Medical Diagnostics
        2. Consumer Finance
        3. Networking and Data Storage
        4. Oil and Gas
      3. Industries Where Deep Learning Could Disrupt the Status Quo
        1.  Automotive
        2. Agriculture
        3. Higher Education
        4. Healthcare
        5. Legal
        6. Manufacturing
        7. Philanthropies
        8. Retail
        9. Industry Overview Conclusion
    4. Business Models
  3. Technology Issues
    1. The Difference between Machine Learning and Deep Learning
      1. History of Machine Learning
      2. History of Deep Learning
      3. Structured Data versus Unstructured Data
      4. Supervised versus Unsupervised Learning
      5. Known Knowledge versus Unknown Knowledge
    2. An Example of Machine Learning
    3. An Example of Deep Learning
    4. How Deep Learning Will Change Technology
      1. A New Programming Paradigm
      2. Products that Design Themselves
      3. Conclusion
  4. Key Industry Players
    1. Apple
    2. Baidu
    3. Clarifai
    4. Declara
    5. DigitalGenius
    6. Ersatz Labs
    7. Facebook
    8. Google
    9. H2O.ai
    10. IBM
    11. Intel
    12. MetaMind
    13. Microsoft
    14. Mobileye
    15. Nervana Systems
    16. NVIDIA
    17. Qualcomm
    18. Sentient Technologies
    19. SignalSense
    20. Skymind
  5. Market Forecasts
    1. Forecast Methodology
    2. Global Economic Growth Rates
    3. Global Deep Learning Market Forecasts
      1. Total Revenue for Deep Learning Software, Services, and Hardware
      2. Deep Learning Software Revenue
    4. Deep Learning Software Revenue by Delivery Method
    5. Deep Learning Software Revenue by Industry
      1. Deep Learning in the Ad Service Industry
      2. Deep Learning in the Automotive Industry
      3. Deep Learning in the Agriculture Industry
      4. Deep Learning in the Consumer Finance Industry
      5. Deep Learning in the Data Storage and Networking Industry
      6. Deep Learning in the Education Industry
      7. Deep Learning in the Investment Industry
      8. Deep Learning in the Healthcare Industry
      9. Deep Learning in the Legal Industry
      10. Deep Learning in the Manufacturing Industry
      11. Deep Learning in the Media Industry
      12. Deep Learning in the Medical Diagnostics Industry
      13. Deep Learning in the Oil and Gas Industry
      14. Deep Learning in the Philanthropies Industry
      15. Deep Learning in the Retail Industry
    6. Deep Learning-Driven Services
      1. Deep Learning-Driven Installation Services
      2. Deep Learning-Driven Training Services
      3. Deep Learning-Driven Customization Services
      4. Deep Learning-Driven Application Integration Services
      5. Deep Learning-Driven Maintenance and Support Services
    7. Deep Learning-Driven Hardware Revenue
      1. Deep Learning-Driven Cloud Revenue
      2. Deep Learning-Driven GPU Chip Revenue
      3. Deep Learning-Driven Compute Revenue
      4. Deep Learning-Driven Network Product Revenue
      5. Deep Learning-Driven Storage Device Revenue
    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

List of Charts, Figures, and Tables

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
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

 

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プレスリリース

[プレスリリース日本語訳]

深層学習(ディープラーニング)ソフトウェア市場は2024年までに100億ドルを突破

広告、金融、メディアが企業向け深層学習(ディープラーニング)のアーリーアダプタ―市場となり、他産業も追随へ

2015年11月3日

深層学習(ディープラーニング)は企業コンピューティングにおける最重要技術の一つとして浮上しているが、、開発後これまでに多くの誤解を受け、誇大宣伝されたこともあった。トラクティカ社は新刊レポートにおいて、いくつかの重大な課題があることは否めないものの、深層学習(ディープラーニング)は誤った期待を引き起こしながらも最終的には様々な産業にわたるデータ利用に大きな衝撃をもたらし、従来のビジネスモデルを覆しながら新たな手法をもたらしていくことになると述べている。

機械学習における様々な試行錯誤の延長線上として、深層学習(ディープラーニング)は生物学システムを模倣した数学的ニューロンのシミュレーションソフトウェアネットワークを形成し、自らによって新たなデータを採用することのできるニューラルネットワークによるモデルを作り出してきた。生物学システムにヒントを得たコンピュータプログラムのコンセプトの歴史は人口知能 (AI) についての活動初期である1950年までさかのぼることになるが、現在この分野における急速な発展は3つの重要市場動向によって促進されているとトラクティカ社では分析している:

  1. 膨大なデータ量の増加
  2. 機械学習アルゴリズムの著しい進展
  3. ハードウェア速度の急激な進化

企業用途向け深層学習(ディープラーニング)ソフトウェアの年間収益は2015年の1億900万ドルから2024年には104億ドルへ増加していくことが見込まれる。

「深層学習(ディープラーニング)は既に広告サービス、投資金融、メディアなどの分野において成果をみせている。」とプリンシパルアナリストのBruce Daley氏は語る。「電子カルテ (EMR)、ウェアラブル機器やモノのインターネット (IoT)などの分野の成長のおかげにより、医療、製造、消費者金融、ネットワーク&データストレージ、石油・ガスなどの分野でも深層学習(ディープラーニング)はますます大きな影響を与えていくことになりそうだ。」

さらにDaley氏は深層学習(ディープラーニング)技術が自動車、農業、教育、法律、社会奉仕事業や小売業などのいわゆる従来型の産業を覆していく可能性もあると付け加えている。

トラクティカ社の調査レポート「企業アプリケーション向け深層学習(ディープラーニング) - Deep Learning for Enterprise Applications: Advertising Technology, Financial Services, Media, Manufacturing, Oil & Gas, Retail, and Other Enterprise Markets for Deep Learning Software and Systems」では、15の産業セクタにおける深層学習(ディープラーニング)市場を調査し、2015年から2024年までの10年間収益を予測している。また、ソフトウェア収益、サービス収益、ハードウェア売上についても予測を行い、配信方法(クラウド、機器、データセンタ)毎と世界の地域毎に分けている。

[プレスリリース原文]

Deep Learning Software Market to Surpass $10 Billion by 2024

Advertising, Finance, and Media are Early Adopter Markets for Enterprise Deep Learning, with Other Industries Soon to Follow

November 3, 2015

Deep learning is emerging as one of the most important technologies in enterprise computing – yet it is also one of the most misunderstood and oversold software systems ever developed.  A new report from Tractica finds that, despite some significant limitations, deep learning is a key enabling technology that will raise a number of false expectations, yet ultimately will have a profound impact on how data is utilized across a wide range of industries, disrupting traditional business models while also facilitating new ones.

As a branch of the broader discipline of machine learning, deep learning emulates a biological system by creating a simulated software network of mathematical neurons, and the resulting neural net builds a model that is capable of adapting itself to new data.  While the concept for biologically-inspired computer programs dates back to at least 1950, during the early days of the artificial intelligence (AI) movement, Tractica’s analysis indicates that 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
  3. Exponential advances in hardware speed

The market intelligence firm forecasts that annual software revenue for enterprise applications of deep learning will increase from $109 million in 2015 to $10.4 billion in 2024.

Deep Learning for Enterprise Applications - Tractica

“Deep learning is already proving its value in sectors like advertising services, investments, and media,” says principal analyst Bruce Daley.  “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.”

Daley adds that the technology also has the potential to disrupt more traditional industries, such as automotive, agriculture, education, law, philanthropies, and retail.

Tractica’s report, “Deep Learning for Enterprise Applications”, 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.

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