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市场调查报告书

说话者辨识、语音辨识市场分析、预测:医疗保健、汽车、认证&ID、语音搜寻、语音贸易&顾客服务、智慧家庭、分析、消费者取向机器人

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

出版商 Omdia | Tractica 商品编码 332285
出版日期 内容资讯 英文 70 Pages; 36 Tables, Charts & Figures
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价格
说话者辨识、语音辨识市场分析、预测:医疗保健、汽车、认证&ID、语音搜寻、语音贸易&顾客服务、智慧家庭、分析、消费者取向机器人 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
出版日期: 2018年08月14日内容资讯: 英文 70 Pages; 36 Tables, Charts & Figures
简介

本报告提供说话者辨识及语音辨识的市场调查,市场及技术定义和概要,市场成长的推动因素和进入的障碍,语音辨识、说话者辨识主要的利用案例,技术概要与课题,各用途、地区的收益规模的变化与预测,主要企业的简介,各种建议等资料汇整。

第1章 摘要整理

  • 简介
  • 市场成长的促进因素
  • 市场障碍
  • 市场预测
  • 总论、建议

第2章 市场分析

  • 定义
    • 语音辨识和说话者辨识
  • 简介
  • 市场成长的促进因素
  • 市场障碍

第3章 利用案例

  • 简介
  • 医疗相关文件、EHR
    • Dictate.it
    • Suki
    • 3M Health Information Systems
    • M*Modal
  • 汽车虚拟数位助手
    • 目前汽车虚拟数位助手
    • Nuance
  • 安全、认证
    • 声纹鉴别
      • Aware
      • Interactions
    • 说话者识别
      • VoiceVault
      • Yobe
  • 语音搜寻
    • 搜寻引擎查询
    • 地方性检索&发现
  • 语音贸易、顾客服务
    • 顾客服务
      • 语音助手
    • 语音贸易
      • Conversable
      • 食品、饮料顺序的自动化
  • 智慧家庭控制
    • 智慧家庭的利用案例
      • 安全
      • 空调、照明
      • 娱乐
      • 厨房
    • 智慧助手平台比较
    • 语音辨识:市场引进、差异化的关键
  • 分析
    • CRM
      • Dialpad
    • 医疗诊断
      • Corti
  • 消费者取向机器人控制
    • 个人助手机器人
    • 玩具、智育机器人
    • 机器人说话者、语音辨识的展望

第4章 技术分析

  • 简介
  • 语音辨识
  • 说话者辨识
  • 自然语言处理
  • 自然地语言生成
  • 机器学习、深度学习

第5章 主要企业

  • 简介
  • 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 市场预测

  • 预测手法
  • 软体收益预测:各用途
    • 汽车虚拟数位助手
    • 消费者取向机器人控制
    • 语音贸易、顾客服务
    • 智慧家庭控制
    • 安全、认证
    • 分析
    • 语音搜寻
    • 医疗保健
  • 软体收益:各地区
    • 北美
    • 欧洲
    • 亚太地区
    • 南美
    • 中东、非洲
  • 总论、建议

第7章 企业目录

第8章 首字母、简称清单

第9章 目录

第10章 图表

第11章 调查范围、来源、调查手法、注记

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目录
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