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音声認識と言語認識市場の分析と予測:医療、自動車、認証&識別、ボイスサーチ、ボイスコマース&カスタマーサービス、スマートホーム、分析と消費者向けロボット:市場分析と予測

Voice and Speech Recognition

Healthcare, Automotive, Authentication & Identification, Voice Search, Voice Commerce & Customer Service, Smart Home, Analysis and Consumer Robot Applications: Market Analysis and Forecasts

 

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
2018年8月US$4,500
1-5ユーザライセンス
70 36

サマリー

この調査レポートは、音声および言語による生体認証ソフトウェアについての市場と技術問題について調査を行い、2016年から2025年までの収益やソフトウェアライセンスの10年予測を掲載しています。

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
  3. 使用事例
    1. 医療クリニカル文書/電子カルテ
    2. 自動車向けバーチャルデジタルアシスタント
    3. セキュリティと認証
      1. 声紋
      2. 話者認識
      3. ボイスサーチ
      4. 音声コマースとカスタマーサービス
      5. スマートホームコントロール
      6. 分析
  4. 技術課題
    1. 音声認識
    2. 声認識
    3. 自然言語処理
    4. 自然言語生成
    5. 機械学習と深層学習
  5. 主要企業14社の分析
  6. 市場予測
    1. トップレベルのソフトウェア収益予測
    2. 地域別ソフトウェア収益予測

Report Details

Speech recognition technology is nothing new. Bell Laboratories introduced the Audrey system, which could recognize spoken digits, in 1952. Continuous speech dictation devices came to market in 1990 and the first interactive voice recognition systems were launched in 1996, but speech recognition technology stalled. Due to significant limitations, speech recognition topped out at 80% accuracy in 2001.

Then around 2009, smartphones and cloud computing changed the market. The ubiquity of smartphones paved the way for the logical use of the speech user interface (UI), particularly for voice search. As compute power became increasingly cheaper, data scientists began to successfully combine voice and speech recognition with machine learning (ML) and/or deep learning (DL)-fueled natural language processing (NLP). Fast forward to 2018, and voice and speech recognition technology has become the tip of the technology spear for a broadening range of sophisticated voice services. Increasingly, companies are building viable market use cases in which the human voice will control highly sophisticated, automated processes and operations. Tractica has identified eight key voice and speech recognition use cases that will drive significant revenue through 2025: Healthcare (Clinical Documentation), Automotive Virtual Digital Assistants (VDAs), Security & Authentication, Voice Search, Voice Commerce & Customer Service, Smart Home Controls, Analysis, and Consumer Robot Controls.

This Tractica report analyzes the global market opportunity for speech recognition and voice recognition software during the period from 2016 through 2025. The report further examines use cases where spoken word is the input or output or both. The study identifies key market drivers and barriers, defines key use cases, assesses technology issues, and profiles key industry players. Market forecasts are provided for software revenue, segmented by use case and world region.

Key Questions Addressed:

  • What is the current state of the market for voice and speech recognition and how will it develop over the next decade?
  • Why will these key use cases that drive greater voice and speech recognition adoption?
  • What are the key drivers of market growth, and the key challenges faced by voice and speech recognition, in each world region?
  • Who are the key players in the market, what is their competitive positioning, and which ones are poised for greatest success in the years ahead?
  • What is the size of the voice and speech recognition market opportunity?

Who Needs This Report?

  • Voice and speech recognition software companies
  • AI hardware and software companies
  • Healthcare technology providers
  • Automotive manufacturers
  • Customer-facing organizations
  • Smart home application providers
  • Cybersecurity and fraud management solution providers
  • Investor community


目次

Table of Contents

  1. Executive Summary
    1. Introduction
    2. Market Drivers
      1. User Interface Technology for New Computing Platforms
      2. Importance of Machine and Deep Learning to Natural Language Processing and Voice and Speech Recognition
      3. Significant Improvements in Deep Learning Algorithms
    3. Market Barriers
      1. Accuracy
      2. Privacy
      3. Ambient Noise
      4. Personal Data Privacy
    4. Market Forecast
    5. Conclusions and Recommendations
  2. Market Issues
    1. Definitions
      1. Voice Recognition versus Speech Recognition
    2. Introduction
    3. Market Drivers
      1. User Interface Technology for New Computing Platforms
      2. Computation at Scale
        1. Exponential Advancements in Hardware Speed
        2. Significant Improvements in Deep Learning Algorithms
      3. Cost Drivers and Business Model Impacts
    4. Market Barriers
      1. Accuracy
        1. Addressing Context
        2. Limitations for Voice Recognition in Authentication
      2. Privacy
      3. Ambient Noise
      4. Personal Data Privacy
  3. Use Cases
    1. Introduction
    2. Healthcare Clinical Documentation/Electronic Health Records
      1. Key Industry Player: Dictate.it
      2. Key Industry Player: Suki
      3. Key Industry Player: 3M Health Information Systems
      4. Key Industry Player: M*Modal
    3. Automotive Virtual Digital Assistants
      1. Today’s Automotive Virtual Digital Assistants
      2. Key Industry Player: Nuance
    4. Security and Authentication
      1. Voiceprinting
        1. Eliminating Passwords
        2. Government Surveillance
        3. Key Industry Player: Aware
        4. Key Industry Player: Interactions
      2. Speaker Identification
        1. Key Industry Player: VoiceVault
        2. Key Industry Player: Yobe
      3. Voice Search
        1. Search Engine Queries
        2. Local Search and Discovery
      4. Voice Commerce and Customer Service
        1. Customer ServiceVoice Assistants
          1. Volara: The Hotel Assistant
        2. Voice Commerce
          1. Conversable
          2. Automating Food and Beverage Ordering
        3. Smart Home Controls
          1. Natural Language Challenges
          2. Smart Home Use Cases for Voice
            1. Security
            2. Climate Control and Lighting
            3. Entertainment
            4. Kitchen
          3. Comparing Smart Assistant Platforms
          4. Voice Recognition Key to Market Adoption and Differentiation
        4. Analysis
          1. Customer Relationship Management
            1. Dialpad
          2. Medical Diagnosis
            1. Corti
          3. Consumer Robot Controls
            1. Personal Assistant Robots
            2. Toy and Educational Robots
            3. Voice and Speech Recognition Outlook for Robots
  4. Technology Issues
    1. Introduction
    2. Speech Recognition
    3. Voice Recognition
    4. Natural Language Processing
      1. Legacy Natural Language Processing Gives Way to Hybrid Natural Language Processing
      2. Importance of Machine and Deep Learning to Natural Language Processing
      3. Understanding Natural Language: Word Maps and Language Models
    5. Natural Language Generation
    6. Machine Learning and Deep Learning
      1. What Is Deep Learning?
  5. Key Industry Players
    1. Introduction
    2. 3M Health Information Systems
    3. Aware
    4. ai
    5. Dialpad
    6. it
    7. Google
    8. Interactions
    9. M*Modal
    10. Nuance
      1. Nuance Healthcare
      2. Nuance Automotive
      3. Nuance Enterprise
    11. Suki
    12. Voice Biometrics Group
    13. VoiceTrust
    14. VoiceVault
    15. Yobe
  6. Market Forecasts
    1. Forecast Methodology
    2. Top Level Software Revenue Forecast
      1. Software Revenue, Automotive Virtual Digital Assistants
      2. Software Revenue, Consumer Robot Controls
      3. Software Revenue, Voice Commerce and Customer Service
      4. Software Revenue, Smart Home Controls
      5. Software Revenue, Security and Authentication
      6. Software Revenue, Analysis
      7. Software Revenue, Voice Search
      8. Software Revenue, Healthcare
    3. Software Revenue by Region
      1. North America
      2. Europe
      3. Asia Pacific
      4. Latin America
      5. Middle East & Africa
    4. Conclusions and Recommendations
  7. Company Directory
  8. Acronym and Abbreviation List
  9. Table of Contents
  10. Table of Charts and Figures
  11. Scope of Study, Sources and Methodology, Notes

 

List of Charts, Figures, and Tables

Charts
  • Voice and Speech Recognition Software Revenue by Use Case, World Markets: 2018-2025
  • Voice and Speech Recognition Software Revenue by Use Case, World Markets: 2018-2025
  • Voice and Speech Recognition Software Revenue, Automotive VDA Use Case by Region, World Markets: 2018-2025
  • Voice and Speech Recognition Software Revenue, Consumer Robot Controls Use Case by Region, World Markets: 2018-2025
  • Voice and Speech Recognition Software Revenue, Voice Commerce & Customer Service Use Case by Region, World Markets: 2018-2025
  • Voice and Speech Recognition Software Revenue, Smart Home Controls Use Case by Region, World Markets: 2018-2025
  • Voice and Speech Recognition Software Revenue, Security & Authentication Use Case by Region, World Markets: 2018-2025
  • Voice and Speech Recognition Software Revenue, Analysis Use Case by Region, World Markets: 2018-2025
  • Voice and Speech Recognition Software Revenue, Voice Search Use Case by Region, World Markets: 2018-2025
  • Voice and Speech Recognition Software Revenue, Healthcare Use Case by Region, World Markets: 2018-2025
  • Voice and Speech Recognition Software Revenue by Region, World Markets: 2018-2025
  • Voice and Speech Recognition Software Revenue by Use Case, North America: 2018-2025
  • Voice and Speech Recognition Software Revenue by Use Case, Europe: 2018-2025
  • Voice and Speech Recognition Software Revenue by Use Case, Asia Pacific: 2018-2025
  • Voice and Speech Recognition Software Revenue by Use Case, Latin America: 2018-2025
  • Voice and Speech Recognition Software Revenue by Use Case, Middle East & Africa: 2018-2025
  • Agriculture Quantum Computing Revenue by Product Type, North America: 2017-2025
  • Life Sciences Quantum Computing Revenue by Product Type, North America: 2017-2025
  • Aerospace Quantum Computing Revenue by Product Type, North America: 2017-2025
  • Voice and Speech Recognition Software Revenue, Analysis Use Case by Region, World Markets: 2016-2025
  • Voice and Speech Recognition Software Revenue, Voice Search Use Case by Region, World Markets: 2016-2025
  • Voice and Speech Recognition Software Revenue, Healthcare Use Case by Region, World Markets: 2016-2025
Figures
  • Society of Automotive Engineers Automation Levels
  • Examples of Word Embeddings
  • Progression of Natural Language Generation
  • AI Encompasses Numerous Technologies
  • Schematic Representation of a Deep Neural Network
Tables
  • Voice and Speech Recognition Software Revenue by Use Case, World Markets: 2016-2025
  • Voice and Speech Recognition Software Revenue by Region, World Markets: 2016-2025
  • Voice and Speech Recognition Software Revenue by Use Case, North America: 2016-2025
  • Voice and Speech Recognition Software Revenue by Use Case, Europe: 2016-2025
  • Voice and Speech Recognition Software Revenue by Use Case, Asia Pacific: 2016-2025
  • Voice and Speech Recognition Software Revenue by Use Case, Latin America: 2016-2025
  • Voice and Speech Recognition Software Revenue by Use Case, Middle East & Africa: 2016-2025
  • Voice and Speech Recognition Software Revenue, Automotive VDA Use Case by Region, World Markets: 2016-2025
  • Voice and Speech Recognition Software Revenue, Consumer Robot Controls Use Case by Region, World Markets: 2016-2025
  • Voice and Speech Recognition Software Revenue, Voice Commerce & Customer Service Use Case by Region, World Markets: 2016-2025
  • Voice and Speech Recognition Software Revenue, Smart Home Controls Use Case by Region, World Markets: 2016-2025
  • Voice and Speech Recognition Software Revenue, Security & Authentication Use Case by Region, World Markets: 2016-2025

 

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プレスリリース

※ 2015年版のプレスリリースです。

 

トラクティカ社は「音声認識と言語認識市場の分析と予測:消費者、コールセンタ、医療、企業、金融、小売、政府、法執行機関、防衛 - Voice and Speech Recognition: Consumer, Call Center, Healthcare, Enterprise, Finance, Retail, Government, Law Enforcement, and Defense Applications: Market Analysis and Forecasts」レポートのプレスリリースにおいて、音声と言語認識ソフトウェアライセンスは2024年までに世界で5億5000万を超え、言語認識技術の採用においては一般消費者と医療での利用が最も力強く市場をけん引するという予測結果を発表しました。


Voice and Speech Recognition Software Licenses to Surpass 550 Million Worldwide by 2024

Consumer and Healthcare Use Cases to Drive the Strongest Growth in Speaker Recognition Technology Adoption

June 11, 2015

Speech and voice recognition biometrics, sometimes referred to collectively as speaker recognition, are poised for a new wave of adoption in the coming decade, enabled by improvements in storage capabilities, advances in biometrics algorithms, and greater consumer acceptance of biometrics in general.

According to a new report from Tractica, licenses for voice and speech recognition software will increase from 49.0 million in 2015 to 565.8 million worldwide by 2024.  The market intelligence firm forecasts that consumer applications such as mobile device authentication will represent the largest opportunity for speaker recognition technology adoption, with strong growth in other use cases as disparate as patient medical record access, wearable device authentication and commands, government IT system protection, call centers, and automotive controls, among many others.

Voice and Speech Recognition - Tractica

“Speech and voice recognition are a microcosm of the entire biometrics market: mature technology that is finally finding a market, with abundant opportunity over the next 10 years,” says principal analyst Bob Lockhart.  “Like all other biometrics markets, this one is driven by use cases.  As such, vendors are flexible in their business models, tailoring software license pricing and programs to individual industry use cases, and also selling software development kits (SDKs) to companies that wish to build their own.”

Tractica’s report, “Voice and Speech Recognition”, examines market and technology issues for speech and voice recognition biometrics software, including 10-year forecasts for revenue and software licenses during the period from 2015 through 2024.  The report examines 20 use cases specific to voice and speech recognition, including other modalities that may compete for business in the same use cases.  Profiles of key industry players are also included.

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