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封面
市场调查报告书
商品编码
1404727

美国语音辨识市场规模、份额和趋势分析报告：2023-2030年按产业和细分市场预测

U.S. Voice Recognition Market Size, Share & Trends Analysis Report By Vertical (Automotive, Enterprise, BFSI, Government, Retail, Healthcare, Military, Education), And Segment Forecasts, 2023 - 2030
出版日期: | 出版商: Grand View Research | 英文 144 Pages | 商品交期: 2-10个工作天内

价格

美国语音辨识市场成长与趋势：

Grand View Research, Inc.最新研究显示，到2030年，美国语音辨识市场需求预计将达到50.2亿美元，2023年至2030年复合年增长率为9.7%。

银行业对基于语音的生物识别等自助服务应用的需求不断增长，预计将在不久的将来推动市场成长。用于银行交易的行动银行应用程式用户数量的增加预计也将在不久的将来对美国市场的成长产生积极影响。美国银行诈骗的惊人成长是推动银行组织采用基于语音的生物识别等高端安全措施的一个主要因素。

随着许多国家製定了严格的驾驶法规，例如禁止在驾驶时使用行动电话，技术整合到汽车中越来越受欢迎。预计到2020年，全球超过50%的汽车将配备汽车语音辨识系统，能够透过口头命令拨打电话和改变音乐。这一趋势在美国也很强劲，预计将推动美国语音辨识市场的发展。

除此之外，语音命令可以帮助驾驶员将注意力集中在道路上，即使在驾驶时存取导航和汽车资讯娱乐系统等应用程式也是如此。另一方面，目的地的语音输入可以帮助驾驶员在视线不离开道路的情况下准确地遵循路线，但手动将资料输入导航系统可能会带来重大的安全风险。随着全球需求的不断增长，消费性设备製造商正致力于透过启用口头命令来创新其产品。预计这一趋势将在预测期内加速美国语音辨识市场的成长。

美国语音辨识市场报告亮点

  • 在2022年的美国语音辨识市场中，由于利用口头命令的汽车资讯娱乐系统日益普及，汽车产业将占据很大的市场占有率。此外，汽车产业也越来越多地使用这项技术来改善语音导航系统，例如告知驾驶路线上的交通状况或提案替代路线。
  • 随着银行交易越来越多地采用基于语音的生物识别身份验证，银行和金融业预计在预测期内将实现最高的复合年增长率。包括汇丰银行和富国银行在内的多家金融机构正在其银行应用程式中提供语音命令功能。
  • 消费性应用正在获得关注，预计该产业在预测期内将出现可观的成长。先进的安全系统越来越多地整合语音辨识技术，使用户能够口头命令操作，例如调节恆温器、开灯和关灯、识别居住者和报告入侵者。

目录

第一章调查方法和范围

第 2 章执行摘要

第三章美国语音辨识市场变数、趋势与范围

  • 市场体系展望
  • 产业价值链分析
  • 市场动态
    • 市场驱动因素分析
    • 市场抑制因素分析
    • 市场机会分析
  • 美国语音辨识市场分析工具
    • 产业分析-波特五力分析
    • PESTEL分析

第四章美国语音辨识市场：产业预估及趋势分析

  • 美国语音辨识市场：重点
  • 美国语音辨识市场：2022年及2030年产业趋势与市场占有率分析
  • 车
    • 2017-2030 年汽车市场预测
  • 公司
    • 2017-2030 年企业市场估计与预测
  • 消费者
    • 2017-2030 年消费市场估计与预测
  • 银行、金融服务和保险
    • 2017-2030 年银行业、金融服务、保险市场估计与预测
  • 政府
    • 2017-2030 年政府市场估计与预测
  • 零售
    • 2017-2030 年零售市场估计与预测
  • 卫生保健
    • 2017-2030 年医疗保健市场估计与预测
  • 军队
    • 2017-2030 年军事市场估计与预测
  • 合法的
    • 2017-2030 年法律市场估计与预测
  • 教育
    • 2017-2030 年教育市场估计与预测
  • 其他的
    • 2017-2030 年其他市场估计与预测

第五章竞争形势

  • 主要市场参与企业的最新趋势和影响分析
  • 市场参与企业分类
    • Advanced Voice Recognition Systems, Inc.
    • Nuance Communications Inc.
    • Amazon.com, Inc.
    • Keda Xunfei Co., Ltd.
    • Apple Inc.
    • Baidu, Inc.
    • Google LLC
    • International Business Machines Corporation
    • M2SYS Technology
    • LumenVox
    • Microsoft
Product Code: GVR-3-68038-738-4

U.S. Voice Recognition Market Growth & Trends:

The U.S. voice recognition market demand is expected to reach USD 5.02 billion by 2030, registering a 9.7% CAGR from 2023 to 2030 according to a new study by Grand View Research, Inc. The growing demand for self-service applications such as voice-based biometric identification in the banking sector is anticipated to drive market growth in the near future. The increasing number of users of mobile banking applications for banking transactions is also expected to positively influence the growth of the U.S. market in the near future. An alarming rise in fraudulent banking activities in the U.S. is a major factor driving the adoption of high-end security measures, such as voice-based biometrics, in banking organizations.

The integration of the technology in automobiles is gaining popularity across the globe as numerous countries are developing stringent driving regulations such as banning the use of cell phones while driving vehicles. It is estimated that by 2020, more than 50% of the world's cars would be equipped with in-car voice recognition systems with features such as placing a call or changing music using verbal commands. The trend is also likely to be strong in the U.S., thus driving the U.S. market for voice recognition.

In addition to this, voice commands help drivers keep their eyes on the road even when accessing applications such as car navigation or in-car infotainment system while driving. Whereas, speech destination entry helps drivers to follow the route correctly while keeping their eye on the road, manually entering data into a navigation system can result in significant safety risks. Owing to the rising demand globally, manufacturers of consumer devices are focusing on innovating their products by enabling verbal commands in them. This trend is expected to accelerate the growth of the U.S. voice recognition market over the forecast period.

U.S. Voice Recognition Market Report Highlights:

  • The automotive vertical accounted for a significant market share in the U.S. market for voice recognition in 2022 owing to rising popularity of in-car infotainment systems enabled by verbal commands. The technology is also being increasingly used in the automotive industry to improve verbal navigation systems, such as updating the car driver with traffic conditions on the route and also suggesting alternative routes
  • The banking and financial vertical is expected to register the highest CAGR over the forecast period owing to the rising adoption of voice-based biometric authentication for performing banking transactions. Several financial institutes such as HSBC and Wells Fargo are in the process of enabling verbal command features in their banking applications
  • Applications in the consumer vertical are gaining traction and the vertical is likely to witness promising growth prospects over the forecast period. Advanced security systems are increasingly being integrated with voice recognition technology to help the user give verbal commands for activities such as adjusting thermostats, turning on and turning off lights, and identifying residents and reporting intruders

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
    • 1.1.1. Vertical
    • 1.1.2. Estimates and forecast timeline
  • 1.2. Research Methodology
  • 1.3. Information Procurement
    • 1.3.1. Purchased database
    • 1.3.2. GVR's internal database
    • 1.3.3. Secondary sources
    • 1.3.4. Primary research
    • 1.3.5. Details of primary research
  • 1.4. Information or Data Analysis
  • 1.5. Market Formulation & Validation
  • 1.6. Model Details
  • 1.7. List of Secondary Sources
  • 1.8. List of Primary Sources
  • 1.9. Objectives

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
    • 2.2.1. Vertical outlook
  • 2.3. Competitive Insights

Chapter 3. U.S. Voice Recognition Market Variables, Trends & Scope

  • 3.1. Market Lineage Outlook
  • 3.2. Industry Value Chain Analysis
  • 3.3. Market Dynamics
    • 3.3.1. Market driver analysis
    • 3.3.2. Market restraint analysis
    • 3.3.3. Market opportunity analysis
  • 3.4. U.S. Voice Recognition Market Analysis Tools
    • 3.4.1. Industry analysis - Porter's Five Forces
      • 3.4.1.1. Supplier power
      • 3.4.1.2. Buyer power
      • 3.4.1.3. Substitution threat
      • 3.4.1.4. Threat of new entrant
      • 3.4.1.5. Competitive rivalry
    • 3.4.2. PESTEL analysis
      • 3.4.2.1. Political landscape
      • 3.4.2.2. Economic landscape
      • 3.4.2.3. Social landscape
      • 3.4.2.4. Technological landscape

Chapter 4. U.S. Voice Recognition Market: Vertical Estimates & Trend Analysis

  • 4.1. U.S. Voice Recognition Market: Key Takeaways
  • 4.2. U.S. Voice Recognition Market: Vertical Movement & Market Share Analysis, 2022 & 2030
  • 4.3. Automotive
    • 4.3.1. Automotive market estimates and forecasts, 2017 to 2030 (USD Million)
  • 4.4. Enterprise
    • 4.4.1. Enterprise market estimates and forecasts, 2017 to 2030 (USD Million)
  • 4.5. Consumer
    • 4.5.1. Consumer market estimates and forecasts, 2017 to 2030 (USD Million)
  • 4.6. Banking, Financial Services & Insurance
    • 4.6.1. Banking, financial services & insurance market estimates and forecasts, 2017 to 2030 (USD Million)
  • 4.7. Government
    • 4.7.1. Government market estimates and forecasts, 2017 to 2030 (USD Million)
  • 4.8. Retail
    • 4.8.1. Retail market estimates and forecasts, 2017 to 2030 (USD Million)
  • 4.9. Healthcare
    • 4.9.1. Healthcare market estimates and forecasts, 2017 to 2030 (USD Million)
  • 4.10. Military
    • 4.10.1. Military market estimates and forecasts, 2017 to 2030 (USD Million)
  • 4.11. Legal
    • 4.11.1. Legal market estimates and forecasts, 2017 to 2030 (USD Million)
  • 4.12. Education
    • 4.12.1. Education market estimates and forecasts, 2017 to 2030 (USD Million)
  • 4.13. Others
    • 4.13.1. Others market estimates and forecasts, 2017 to 2030 (USD Million)

Chapter 5. Competitive Landscape

  • 5.1. Recent Developments & Impact Analysis, By Key Market Participants
  • 5.2. Market Participant Categorization
    • 5.2.1. Advanced Voice Recognition Systems, Inc.
      • 5.2.1.1. Company overview
      • 5.2.1.2. Financial performance
      • 5.2.1.3. Product benchmarking
      • 5.2.1.4. Strategic initiatives
    • 5.2.2. Nuance Communications Inc.
      • 5.2.2.1. Company overview
      • 5.2.2.2. Financial performance
      • 5.2.2.3. Product benchmarking
      • 5.2.2.4. Strategic initiatives
    • 5.2.3. Amazon.com, Inc.
      • 5.2.3.1. Company overview
      • 5.2.3.2. Financial performance
      • 5.2.3.3. Product benchmarking
      • 5.2.3.4. Strategic initiatives
    • 5.2.4. Keda Xunfei Co., Ltd.
      • 5.2.4.1. Company overview
      • 5.2.4.2. Financial performance
      • 5.2.4.3. Product benchmarking
      • 5.2.4.4. Strategic initiatives
    • 5.2.5. Apple Inc.
      • 5.2.5.1. Company overview
      • 5.2.5.2. Financial performance
      • 5.2.5.3. Product benchmarking
      • 5.2.5.4. Strategic initiatives
    • 5.2.6. Baidu, Inc.
      • 5.2.6.1. Company overview
      • 5.2.6.2. Financial performance
      • 5.2.6.3. Product benchmarking
      • 5.2.6.4. Strategic initiatives
    • 5.2.7. Google LLC
      • 5.2.7.1. Company overview
      • 5.2.7.2. Financial performance
      • 5.2.7.3. Product benchmarking
      • 5.2.7.4. Strategic initiatives
    • 5.2.8. International Business Machines Corporation
      • 5.2.8.1. Company overview
      • 5.2.8.2. Financial performance
      • 5.2.8.3. Product benchmarking
      • 5.2.8.4. Strategic initiatives
    • 5.2.9. M2SYS Technology
      • 5.2.9.1. Company overview
      • 5.2.9.2. Financial performance
      • 5.2.9.3. Product benchmarking
      • 5.2.9.4. Strategic initiatives
    • 5.2.10. LumenVox
      • 5.2.10.1. Company overview
      • 5.2.10.2. Financial performance
      • 5.2.10.3. Product benchmarking
      • 5.2.10.4. Strategic initiatives
    • 5.2.11. Microsoft
      • 5.2.11.1. Company overview
      • 5.2.11.2. Financial performance
      • 5.2.11.3. Product benchmarking
      • 5.2.11.4. Strategic initiatives

List of Tables

  • Table 1 List of abbreviations
  • Table 2 U.S. voice recognition market, by vertical, 2017 - 2030 (USD Million)

List of Figures

  • Fig. 1 Market research process
  • Fig. 2 Data triangulation techniques
  • Fig. 3 Primary research pattern
  • Fig. 4 Market research approaches
  • Fig. 5 Value-chain-based sizing & forecasting
  • Fig. 6 QFD modeling for market share assessment
  • Fig. 7 Market formulation & validation
  • Fig. 8 U.S. voice recognition: Market outlook
  • Fig. 9 U.S. voice recognition: Competitive insights
  • Fig. 10 Parent market outlook
  • Fig. 11 Related/ancillary market outlook
  • Fig. 12 Penetration and growth prospect mapping
  • Fig. 13 Industry value chain analysis
  • Fig. 14 U.S. voice recognition market driver impact
  • Fig. 15 U.S. voice recognition market restraint impact
  • Fig. 16 U.S. voice recognition market strategic initiatives analysis
  • Fig. 17 U.S. voice recognition market: Vertical movement analysis
  • Fig. 18 U.S. voice recognition market: Vertical outlook and key takeaways
  • Fig. 19 Automotive market estimates and forecasts, 2017 - 2030
  • Fig. 20 Enterprise market estimates and forecasts, 2017 - 2030
  • Fig. 21 Consumer market estimates and forecasts, 2017 - 2030
  • Fig. 22 Banking, financial services & insurance market estimates and forecasts, 2017 - 2030
  • Fig. 23 Government market estimates and forecasts, 2017 - 2030
  • Fig. 24 Retail market estimates and forecasts, 2017 - 2030
  • Fig. 25 Healthcare market estimates and forecasts, 2017 - 2030
  • Fig. 26 Military market estimates and forecasts, 2017 - 2030
  • Fig. 27 Legal market estimates and forecasts, 2017 - 2030
  • Fig. 28 Education market estimates and forecasts, 2017 - 2030
  • Fig. 29 Others market estimates and forecasts, 2017 - 2030
  • Fig. 30 U.S. voice recognition market estimates and forecasts, 2017 - 2030