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市場調查報告書
商品編碼
1404727

美國語音辨識市場規模、佔有率和趨勢分析報告：2023-2030年按產業和細分市場預測

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個工作天內

價格

美國語音辨識市場成長與趨勢：

Grand View Research, Inc.最新研究顯示，到2030年，美國語音辨識市場需求預計將達到50.2億美元，2023年至2030年複合年成長率為9.7%。

銀行業對基於語音的生物識別等自助服務應用的需求不斷成長，預計將在不久的將來推動市場成長。用於銀行交易的行動銀行應用程式用戶數量的增加預計也將在不久的將來對美國市場的成長產生積極影響。美國銀行詐騙的驚人成長是推動銀行組織採用基於語音的生物識別等高階安全措施的一個主要因素。

隨著許多國家製定了嚴格的駕駛法規，例如禁止在駕駛時使用行動電話，技術整合到汽車中越來越受歡迎。預計到2020年，全球超過50%的汽車將配備汽車語音辨識系統，能夠透過口頭命令撥打電話和改變音樂。這一趨勢在美國也很強勁，預計將推動美國語音辨識市場的發展。

除此之外，語音命令可以幫助駕駛員將注意力集中在道路上，即使在駕駛時存取導航和汽車資訊娛樂系統等應用程式也是如此。另一方面，目的地的語音輸入可以幫助駕駛員在視線不離開道路的情況下準確地遵循路線，但手動將資料輸入導航系統可能會帶來重大的安全風險。隨著全球需求的不斷成長，消費性設備製造商正致力於透過啟用口頭命令來創新其產品。預計這一趨勢將在預測期內加速美國語音辨識市場的成長。

美國語音辨識市場報告亮點

  • 在2022年的美國語音辨識市場中，由於利用口頭命令的汽車資訊娛樂系統日益普及，汽車產業將佔據很大的市場佔有率。此外，汽車產業也擴大使用這項技術來改善語音導航系統，例如告知駕駛路線上的交通狀況或提案替代路線。
  • 隨著銀行交易擴大採用基於語音的生物識別身份驗證，銀行和金融業預計在預測期內將實現最高的複合年成長率。包括匯豐銀行和富國銀行在內的多家金融機構正在其銀行應用程式中提供語音命令功能。
  • 消費性應用正在獲得關注，預計該產業在預測期內將出現可觀的成長。先進的安全系統擴大整合語音辨識技術，使用戶能夠口頭命令操作，例如調節恆溫器、開燈和關燈、識別居住者和報告入侵者。

目錄

第1章調查方法和範圍

第 2 章執行摘要

第3章美國語音辨識市場變數、趨勢與範圍

  • 市場體系展望
  • 產業價值鏈分析
  • 市場動態
    • 市場促進因素分析
    • 市場抑制因素分析
    • 市場機會分析
  • 美國語音辨識市場分析工具
    • 產業分析-波特五力分析
    • PESTEL分析

第4章美國語音辨識市場：產業預估及趨勢分析

  • 美國語音辨識市場：重點
  • 美國語音辨識市場：2022年及2030年產業趨勢與市場佔有率分析
  • 車
    • 2017-2030 年汽車市場預測
  • 公司
    • 2017-2030 年企業市場估計與預測
  • 消費者
    • 2017-2030 年消費市場估計與預測
  • 銀行、金融服務和保險
    • 2017-2030 年銀行業、金融服務、保險市場估計與預測
  • 政府
    • 2017-2030 年政府市場估計與預測
  • 零售
    • 2017-2030 年零售市場估計與預測
  • 衛生保健
    • 2017-2030 年醫療保健市場估計與預測
  • 軍隊
    • 2017-2030 年軍事市場估計與預測
  • 合法的
    • 2017-2030 年法律市場估計與預測
  • 教育
    • 2017-2030 年教育市場估計與預測
  • 其他
    • 2017-2030 年其他市場估計與預測

第5章競爭形勢

  • 主要市場參與企業的最新趨勢和影響分析
  • 市場參與企業分類
    • 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