無料セミナー : 2018年10月23日『5G、OTTがもたらすデジタルトランスフォーメーション2025年までの展望』 IDATE DigiWorld共同開催

株式会社グローバルインフォメーション
TEL: 044-952-0102
表紙
市場調査レポート

話者認識・音声認識市場の分析・予測:ヘルスケア・自動車・認証&ID・音声検索・ボイスコマース&カスタマーサービス・スマートホーム・解析・消費者向けロボット

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

発行 Tractica 商品コード 332285
出版日 ページ情報 英文 70 Pages; 36 Tables, Charts & Figures
即納可能
価格
本日の銀行送金レート: 1USD=113.61円で換算しております。
Back to Top
話者認識・音声認識市場の分析・予測:ヘルスケア・自動車・認証&ID・音声検索・ボイスコマース&カスタマーサービス・スマートホーム・解析・消費者向けロボット 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
出版日: 2018年08月14日 ページ情報: 英文 70 Pages; 36 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大変お得な『年間契約型レポートパッケージ』もございます。単体でご購入される場合と比べて、大変お求めやすい価格設定となっております。無料のアナリストサービスもご利用いただけますので是非あわせてご検討下さい。
概要

当レポートでは、話者認識および音声認識の市場を調査し、市場および技術の定義と概要、市場成長の推進因子と参入の障壁、音声認識・話者認識の主な利用事例、技術の概要と課題、用途・地域別の収益規模の推移と予測、主要企業のプロファイル、各種提言などをまとめています。

第1章 エグゼクティブサマリー

  • イントロダクション
  • 市場成長推進因子
  • 市場の障壁
  • 市場予測
  • 総論・提言

第2章 市場分析

  • 定義
    • 音声認識と話者認識
  • イントロダクション
  • 市場成長推進因子
  • 市場の障壁

第3章 利用事例

  • イントロダクション
  • 医療関連文書・EHR
    • Dictate.it
    • Suki
    • 3M Health Information Systems
    • M*Modal
  • 自動車仮想デジタルアシスタント
    • 現在の自動車仮想デジタルアシスタント
    • Nuance
  • セキュリティ・認証
    • 声紋鑑定
      • Aware
      • Interactions
    • 話者特定
      • VoiceVault
      • Yobe
  • 音声検索
    • 検索エンジンクエリ
    • ローカルサーチ&ディスカバリー
  • ボイスコマース・カスタマーサービス
    • カスタマーサービス
      • 音声アシスタント
    • ボイスコマース
      • Conversable
      • 食品・飲料オーダーの自動化
  • スマートホーム制御
    • スマートホームにおける利用事例
      • セキュリティ
      • 空調・照明
      • エンターテインメント
      • キッチン
    • スマートアシスタントプラットフォームの比較
    • ボイス認識:市場導入・差別化の鍵
  • 解析
    • CRM
      • Dialpad
    • 医療診断
      • Corti
  • 消費者向けロボット制御
    • パーソナルアシスタントロボット
    • 玩具・知育ロボット
    • ロボット向け話者・音声認識の展望

第4章 技術分析

  • イントロダクション
  • 音声認識
  • 話者認識
  • 自然言語処理
  • 自然言語生成
  • 機械学習・ディープラーニング

第5章 主要企業

  • イントロダクション
  • 3M Health Information Systems
  • Aware
  • Corti.ai
  • Dialpad
  • Dictate.it
  • Google
  • Interactions
  • M*Modal
  • Nuance
  • Suki
  • Voice Biometrics Group
  • VoiceTrust
  • VoiceVault
  • Yobe

第6章 市場予測

  • 予測手法
  • ソフトウェア収益予測:用途別
    • 自動車仮想デジタルアシスタント
    • 消費者向けロボット制御
    • ボイスコマース・カスタマーサービス
    • スマートホーム制御
    • セキュリティ・認証
    • 解析
    • 音声検索
    • ヘルスケア
  • ソフトウェア収益:地域別
    • 北米
    • 欧州
    • アジア太平洋
    • ラテンアメリカ
    • 中東・アフリカ
  • 総論・提言

第7章 企業ディレクトリー

第8章 頭文字・略語リスト

第9章 目次

第10章 図表

第11章 調査範囲・ソース・調査手法・注記

目次
Product Code: VSR-18

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

Table of Contents

1. Executive Summary

  • 1.1. Introduction
  • 1.2. Market Drivers
    • 1.2.1. User Interface Technology for New Computing Platforms
    • 1.2.2. Importance of Machine and Deep Learning Natural Language Processing and Voice and Speech Recognition
    • 1.2.3. Significant Improvements in Deep Learning Algorithms
  • 1.3. Market Barriers
    • 1.3.1. Accuracy
    • 1.3.2. Privacy
    • 1.3.3. Ambient Noise
    • 1.3.4. Personal Data Privacy
  • 1.4. Market Forecast
  • 1.5. Conclusions and Recommendations

2. Market Issues

  • 2.1. Definitions
    • 2.1.1. Voice Recognition versus Speech Recognition
  • 2.2. Introduction
  • 2.3. Market Drivers
    • 2.3.1. User Interface Technology for New Computing Platforms
    • 2.3.2. Computation at Scale
      • 2.3.2.1. Exponential Advancements in Hardware Speed
      • 2.3.2.2. Significant Improvements in Deep Learning Algorithms
    • 2.3.3. Cost Drivers and Business Model Impacts
  • 2.4. Market Barriers
    • 2.4.1. Accuracy
      • 2.4.1.1. Addressing Context
      • 2.4.1.2. Limitations for Voice Recognition in Authentication
    • 2.4.2. Privacy
    • 2.4.3. Ambient Noise
    • 2.4.4. Personal Data Privacy

3. Use Cases

  • 3.1. Introduction
  • 3.2. Healthcare Clinical Documentation/Electronic Health Records
    • 3.2.1. Key Industry Player: Dictate.it
    • 3.2.2. Key Industry Player: Suki
    • 3.2.3. Key Industry Player: 3M Health Information Systems
    • 3.2.4. Key Industry Player: M*Modal
  • 3.3. Automotive Virtual Digital Assistants
    • 3.3.1. Today's Automotive Virtual Digital Assistants
    • 3.3.2. Key Industry Player: Nuance
  • 3.4. Security and Authentication
    • 3.4.1. Voiceprinting
      • 3.4.1.1. Eliminating Passwords
      • 3.4.1.2. Government Surveillance
      • 3.4.1.3. Key Industry Player: Aware
      • 3.4.1.4. Key Industry Player: Interactions
    • 3.4.2. Speaker Identification
      • 3.4.2.1. Key Industry Player: VoiceVault
      • 3.4.2.2. Key Industry Player: Yobe
  • 3.5. Voice Search
    • 3.5.1. Search Engine Queries
    • 3.5.2. Local Search and Discovery
  • 3.6. Voice Commerce and Customer Service
    • 3.6.1. Customer Service
      • 3.6.1.1. Voice Assistants
        • 3.6.1.1.1. Volara: The Hotel Assistant
    • 3.6.2. Voice Commerce
      • 3.6.2.1. Conversable
      • 3.6.2.2. Automating Food and Beverage Ordering
  • 3.7. Smart Home Controls
    • 3.7.1. Natural Language Challenges
    • 3.7.2. Smart Home Use Cases for Voice
      • 3.7.2.1. Security
      • 3.7.2.2. Climate Control and Lighting
      • 3.7.2.3. Entertainment
      • 3.7.2.4. Kitchen
    • 3.7.3. Comparing Smart Assistant Platforms
    • 3.7.4. Voice Recognition Key to Market Adoption and Differentiation
  • 3.8. Analysis
    • 3.8.1. Customer Relationship Management
      • 3.8.1.1. Dialpad
    • 3.8.2. Medical Diagnosis
      • 3.8.2.1. Corti
  • 3.9. Consumer Robot Controls
    • 3.9.1. Personal Assistant Robots
    • 3.9.2. Toy and Educational Robots
    • 3.9.3. Voice and Speech Recognition Outlook for Robots

4. Technology Issues

  • 4.1. Introduction
  • 4.2. Speech Recognition
  • 4.3. Voice Recognition
  • 4.4. Natural Language Processing
    • 4.4.1. Legacy Natural Language Processing Gives Way to Hybrid Natural Language Processing
    • 4.4.2. Importance of Machine and Deep Learning to Natural Language Processing
    • 4.4.3. Understanding Natural Language: Word Maps and Language Models
  • 4.5. Natural Language Generation
  • 4.6. Machine Learning and Deep Learning
    • 4.6.1. What Is Deep Learning?

5. Key Industry Players

  • 5.1. Introduction
  • 5.2. 3M Health Information Systems
  • 5.3. Aware
  • 5.4. Corti.ai
  • 5.5. Dialpad
  • 5.6. Dictate.it
  • 5.7. Google
  • 5.8. Interactions
  • 5.9. M*Modal
  • 5.10. Nuance
    • 5.10.1. Nuance Healthcare
    • 5.10.2. Nuance Automotive
    • 5.10.3. Nuance Enterprise
  • 5.11. Suki
  • 5.12. Voice Biometrics Group
  • 5.13. VoiceTrust
  • 5.14. VoiceVault
  • 5.15. Yobe

6. Market Forecasts

  • 6.1. Forecast Methodology
  • 6.2. Top Level Software Revenue Forecast
    • 6.2.1. Software Revenue, Automotive Virtual Digital Assistants
    • 6.2.2. Software Revenue, Consumer Robot Controls
    • 6.2.3. Software Revenue, Voice Commerce and Customer Service
    • 6.2.4. Software Revenue, Smart Home Controls
    • 6.2.5. Software Revenue, Security and Authentication
    • 6.2.6. Software Revenue, Analysis
    • 6.2.7. Software Revenue, Voice Search
    • 6.2.8. Software Revenue, Healthcare
  • 6.3. Software Revenue by Region
    • 6.3.1. North America
    • 6.3.2. Europe
    • 6.3.3. Asia Pacific
    • 6.3.4. Latin America
    • 6.3.5. Middle East & Africa
  • 6.4. 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

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 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

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
  • 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
Back to Top