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세계의 원거리 언어 및 음성 인식 시장 예측(-2024년) : 마이크로폰, DSP, 소프트웨어

Far-Field Speech and Voice Recognition Market by Component (Microphones, DSP and Software), Application (Smart TV/STB, Smart Speakers, Automotive, and Robotics), Microphone Solutions (Single, Linear, Circular), and Geography - Global Forecast to 2024

리서치사 MarketsandMarkets
발행일 2019년 03월 상품 코드 817524
페이지 정보 영문 141 Pages
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세계의 원거리 언어 및 음성 인식 시장 예측(-2024년) : 마이크로폰, DSP, 소프트웨어 Far-Field Speech and Voice Recognition Market by Component (Microphones, DSP and Software), Application (Smart TV/STB, Smart Speakers, Automotive, and Robotics), Microphone Solutions (Single, Linear, Circular), and Geography - Global Forecast to 2024
발행일 : 2019년 03월 페이지 정보 : 영문 141 Pages

세계의 원거리 언어 및 음성 인식 시장은 예측기간 중 23.89%의 연평균 성장률(CAGR)로 추정되며, 2018년 9억 6,900만 달러에서 2024년에는 35억 500만 달러 규모로 성장할 것으로 예측됩니다. 딥러닝 기반 원거리 마이크의 발전, 언어 및 음성 인식 정확도에 대한 프론트엔드 하드웨어 컴포넌트의 영향 확대, 음성 제어 스마트 스피커의 성장 등의 요인이 시장 성장을 촉진하고 있습니다. 그러나 한편 음성 대응 스마트홈 디바이스의 프라이버시상 위협, 소음 환경·가혹 환경에서의 정확도 부족 등의 요인이 성장 장벽이 되고 있습니다.

세계의 원거리 언어 및 음성 인식(Far-Field Speech and Voice Recognition) 시장을 조사했으며, 시장 및 기술 개요, 시장 성장에 대한 각종 영향요인 및 시장 기회 분석, 컴포넌트·마이크로폰 솔루션·용도·지역/주요 국가별 동향, 시장 규모 추정과 예측, 경쟁 상황, 주요 기업 개요 등을 정리했습니다.

제1장 서론

제2장 조사 방법

제3장 주요 요약

제4장 주요 조사 결과

제5장 시장 개요

  • 서론
  • 시장 세분화
  • 시장 역학
    • 성장 촉진요인
    • 성장 저해요인
    • 시장 기회
    • 과제

제6장 원거리 언어 및 음성 인식 시장 분석과 예측 : 컴포넌트별

  • 서론
  • 마이크로폰
  • DSP(Digital Signal Processors)
  • 소프트웨어

제7장 원거리 언어 및 음성 인식 시장 분석과 예측 : 마이크로폰 솔루션별

  • 서론
  • 싱글 마이크로폰
  • 선형 어레이
  • 원형 어레이

제8장 원거리 언어 및 음성 인식 시장 분석과 예측 : 용도별

  • 서론
  • 자동차
  • 스마트 TV/STB
  • 스마트 스피커
  • 로보틱스
  • 기타

제9장 원거리 언어 및 음성 인식 시장 분석과 예측 : 지역별

  • 서론
  • 북미
    • 미국
    • 캐나다
    • 멕시코
  • 유럽
    • 영국
    • 독일
    • 프랑스
    • 이탈리아
    • 기타
  • 아시아태평양
    • 일본
    • 중국
    • 한국
    • 기타
  • 기타
    • 남미
    • 중동 및 아프리카

제10장 경쟁 상황

  • 서론
  • 시장 순위
  • 경쟁 상황과 동향
    • 제품 개발과 투입
    • 파트너십과 제휴
    • 인수
  • 경쟁 리더십 매핑
  • 제품 포트폴리오
  • 사업 전략

제11장 기업 개요

  • 주요 기업
    • SYNAPTICS
    • TEXAS INSTRUMENTS
    • ANDREA ELECTRONICS
    • CIRRUS LOGIC
    • MICROSEMI
    • DSP GROUP
    • QUALCOMM
    • SENSORY
    • STMICROELECTRONICS
    • HARMAN
  • 기타 유력 기업
    • MEEAMI TECHNOLOGIES
    • ALANGO
    • XMOS
    • MIGHTYWORKS
    • MATRIX LABS
    • FORTEMEDIA
    • RETUNE-DSP
    • KNOWLES
    • VOCAL TECHNOLOGIES
    • VESPER TECHNOLOGIES

제12장 부록

KSM 19.04.05

LIST OF TABLES

  • TABLE 1: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY COMPONENT, 2016- 2024 (MILLION UNITS)
  • TABLE 2: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 3: MICROPHONES FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 4: MICROPHONE FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 5: DSP/PROCESSORS FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 6: DSP/PROCESSORS FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 7: SOFTWARE FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 8: SOFTWARE FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 9: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY MICROPHONE SOLUTION, 2016-2024 (MILLION UNITS)
  • TABLE 10: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY MICROPHONE SOLUTION, 2016-2024 (USD MILLION)
  • TABLE 11: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET FOR SINGLE MICROPHONE MARKET, BY REGION, 2016-2024 (MILLION UNITS)
  • TABLE 12: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET FOR LINEAR MICROPHONE MARKET, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 13: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET FOR CIRCULAR MICROPHONE MARKET, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 14: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY APPLICATION, 2016-2024 (MILLION UNITS)
  • TABLE 15: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 16: AUTOMOTIVE FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY COMPONENT, 2016-2024 (MILLION UNITS)
  • TABLE 17: AUTOMOTIVE FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 18: AUTOMOTIVE FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY REGION, 2016-2024 (MILLION UNITS)
  • TABLE 19: AUTOMOTIVE FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 20: SMART TV/STB FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY COMPONENT, 2016-2024 (MILLION UNITS)
  • TABLE 21: SMART TV/STB FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 22: SMART TV/STB FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY REGION, 2016-2024 (MILLION UNITS)
  • TABLE 23: SMART TV/STB FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 24: SMART SPEAKER FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY COMPONENT, 2016-2024 (MILLION UNITS)
  • TABLE 25: SMART SPEAKER FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 26: SMART SPEAKER FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY REGION, 2016-2024 (MILLION UNITS)
  • TABLE 27: SMART SPEAKER FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 28: ROBOTICS FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY COMPONENT, 2016-2024 (MILLION UNITS)
  • TABLE 29: ROBOTICS FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 30: ROBOTICS FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY REGION, 2016-2024 (MILLION UNITS)
  • TABLE 31: ROBOTICS FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 32: OTHER FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY COMPONENT, 2016-2024 (MILLION UNITS)
  • TABLE 33: OTHER FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 34: OTHERS FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY REGION, 2016-2024 (MILLION UNITS)
  • TABLE 35: OTHERS FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 36: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY REGION, 2016-2024 (USD MILLION)
  • TABLE 37: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN NORTH AMERICA, BY COUNTRY, 2016-2024 (USD MILLION)
  • TABLE 38: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN NORTH AMERICA, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 39: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN NORTH AMERICA, BY APPLICATION, 2016-2024 (MILLION UNITS)
  • TABLE 40: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN NORTH AMERICA, BY MICROPHONE SOLUTION, 2016-2024 (USD MILLION)
  • TABLE 41: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN NORTH AMERICA, BY COMPONENT, 2016-2024 (MILLION UNITS)
  • TABLE 42: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN NORTH AMERICA, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 43: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN EUROPE, BY COUNTRY, 2016-2024 (USD MILLION)
  • TABLE 44: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN EUROPE, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 45: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN EUROPE, BY APPLICATION, 2016-2024 (MILLION UNITS)
  • TABLE 46: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN EUROPE, BY MICROPHONE SOLUTION, 2016-2024 (USD MILLION)
  • TABLE 47: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN EUROPE, BY COMPONENT, 2016-2024 (MILLION UNITS)
  • TABLE 48: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN EUROPE, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 49: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN APAC, BY COUNTRY, 2016-2024 (USD MILLION)
  • TABLE 50: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN APAC, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 51: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN APAC, BY APPLICATION, 2016-2024 (MILLION UNITS)
  • TABLE 52: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN APAC, BY MICROPHONE TYPE, 2016-2024 (USD MILLION)
  • TABLE 53: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN APAC, BY COMPONENT, 2016-2024 (MILLION UNITS)
  • TABLE 54: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN APAC, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 55: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN ROW, BY COUNTRY, 2016-2024 (USD MILLION)
  • TABLE 56: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN ROW, BY APPLICATION, 2016-2024 (USD MILLION)
  • TABLE 57: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN ROW, BY APPLICATION, 2016-2024 (MILLION UNITS)
  • TABLE 58: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN ROW, BY MICROPHONE SOLUTION, 2016-2024 (USD MILLION)
  • TABLE 59: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN ROW, BY COMPONENT, 2016-2024 (MILLION UNITS)
  • TABLE 60: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN ROW, BY COMPONENT, 2016-2024 (USD MILLION)
  • TABLE 61: PRODUCT LAUNCHES AND DEVELOPMENTS (2016-2018)
  • TABLE 62: PARTNERSHIPS AND COLLABORATIONS (2015-2018)
  • TABLE 63: ACQUISITIONS, 2017

LIST OF FIGURES

  • FIGURE 1: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET: PROCESS FLOW OF MARKET SIZE ESTIMATION
  • FIGURE 2: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET: RESEARCH DESIGN
  • FIGURE 3: DATA TRIANGULATION METHODOLOGY
  • FIGURE 4: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET GROWTH IN TERMS OF VALUE AND VOLUME (2016-2024)
  • FIGURE 5: MICROPHONES TO HOLD LARGER SHARE OF FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET DURING FORECAST PERIOD
  • FIGURE 6: SMART SPEAKERS TO HOLD THE LARGEST SIZE OF THE FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, IN TERMS OF VALUE, DURING THE FORECAST PERIOD
  • FIGURE 7: LINEAR ARRAYS EXPECTED TO ACCOUNT FOR THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
  • FIGURE 8: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN NORTH AMERICA TO HOLD THE LARGEST SHARE IN 2017
  • FIGURE 9: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN ROW TO GROW AT THE HIGHEST CAGR FROM 2018 TO 2024
  • FIGURE 10: SMART SPEAKER TO HOLD THE LARGEST SIZE OF MARKET DURING FORECAST PERIOD
  • FIGURE 11: MICROPHONES TO HOLD THE LARGEST SIZE OF MARKET DURING THE FORECAST PERIOD
  • FIGURE 12: LINEAR ARRAYS TO HOLD LARGEST SHARE OF MARKET IN 2024
  • FIGURE 13: US TO HOLD LARGEST SHARE OF MARKET IN NORTH AMERICA IN 2018
  • FIGURE 14: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN THE MIDDLE EAST & AFRICA TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 15: GROWING IMPACT OF FRONT-END HARDWARE COMPONENTS ON THE ACCURACY OF SPEECH AND VOICE RECOGNITION DRIVING THE FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET
  • FIGURE 16: AMAZON'S ALEXA SKILL SET INCREASED AROUND 6 TIMES IN A SPAN OF 4 MONTHS
  • FIGURE 17: FAR-FIELD SPEECH AND VOICE RECOGNITION SYSTEM ARCHITECTURE
  • FIGURE 18: NORTH AMERICA TO ACCOUNT FOR LARGEST SIZE OF FAR-FIELD SPEECH AND VOICE RECOGNITION FOR MICROPHONES MARKET BY 2024
  • FIGURE 19: SMART SPEAKER MARKET TO HOLD LARGEST SIZE OF FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET FOR DSP/ PROCESSORS DURING THE FORECAST PERIOD
  • FIGURE 20: SOFTWARE FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY REGION, 2016-2024 (USD MILLION)
  • FIGURE 21: SINGLE MICROPHONE EXPECTED TO WITNESS HIGHEST CAGR BETWEEN 2018 AND 2024
  • FIGURE 22: ROW EXPECTED TO GROW AT HIGHEST CAGR FOR LINEAR MICROPHONE SOLUTION MARKET DURING THE FORECAST PERIOD
  • FIGURE 23: MICROPHONES EXPECTED TO WITNESS HIGHER CAGR FOR AUTOMOTIVE FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET BETWEEN 2018 AND 2024
  • FIGURE 24: APAC EXPECTED TO HOLD THE LARGEST SIZE OF SMART TV/STB FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET
  • FIGURE 25: SMART SPEAKER FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY COMPONENT (USD MILLION)
  • FIGURE 26: SOFTWARE EXPECTED TO WITNESS THE HIGHEST GROWTH OF ROBOTICS FAR FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET DURING THE FORECAST PERIOD
  • FIGURE 27: NORTH AMERICA TO HOLD THE LARGEST SIZE OF OTHERS FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN 2018
  • FIGURE 28: GEOGRAPHIC SNAPSHOT: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN ROW EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 29: NORTH AMERICA: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET SNAPSHOT
  • FIGURE 30: EUROPE: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET SNAPSHOT
  • FIGURE 31: APAC: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET SNAPSHOT
  • FIGURE 32: KEY GROWTH STRATEGIES ADOPTED BY TOP COMPANIES, 2015-2018
  • FIGURE 33: MARKET RANKING OF THE TOP 5 PLAYERS IN THE FAR-FIELD SPEECH & VOICE RECOGNITION MARKET, 2017
  • FIGURE 34: FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET (GLOBAL) COMPETITIVE LEADERSHIP MAPPING, 2017
  • FIGURE 35: SYNAPTICS: COMPANY SNAPSHOT
  • FIGURE 36: TEXAS INSTRUMENTS: COMPANY SNAPSHOTS
  • FIGURE 37: ANDREA ELECTRONICS: COMPANY SNAPSHOT
  • FIGURE 38: CIRRUS LOGIC: COMPANY SNAPSHOT
  • FIGURE 39: MICROSEMI: COMPANY SNAPSHOT
  • FIGURE 40: DSP GROUP: COMPANY SNAPSHOT
  • FIGURE 41: QUALCOMM: COMPANY SNAPSHOT
  • FIGURE 42: STMICROELECTRONICS: COMPANY SNAPSHOT

"Far-Filed Speech and voice recognition market is expected to grow at CAGR of 23.89% from 2018 to 2024."

The far-field speech and voice recognition market is expected to grow from USD 969 million in 2018 to USD 3,505 million by 2024, at a CAGR of 23.89%. The growth of the far-field speech and voice recognition market can be attributed to the advancement of deep-learning-based far-field microphones, growing impact of front-end hardware components on the accuracy of speech and voice recognition, and growth in voice control-based smart speakers. However, growing privacy threat from voice-enabled smart home devices and lack of accuracy in far-field speech and voice recognition systems in noisy and harsh environments are restraining the market growth.

"Software expected to grow at highest CAGR during the forecast period."

Software or deep learning plays a major role in voice pickup. It offers beamforming, spectral noise reduction, acoustic echo cancellation, and de-reverberation technologies to enhance speech recognition performance in far-field use cases and hence improve the quality of the input speech signal. Alango offers a voice enhancement package (VEP), a set of software technologies comprising a multi-microphone beamforming array and echo canceller, which support far-field speech recognition enhancement in smart home products, mobile phones, and automotive voice-controlled applications.

"Microphones expected to hold a largest market size of the far-field speech and voice recognition market throughout the forecast period."

Far-field speech and voice recognition systems use multiple microphones in form of a linear or circular array to reduce the impact of noise and reverberation from the surrounding environment. In recent years the development of deep-learning-based trainable algorithm for far-field microphones has greatly reduced the limitation of signal distortion and loss of information. Microphones with machine learning, neural networks, and beamforming have improved front-end voice processing. Smart speaker from Google has been at the forefront in deploying deep learning-based microphones in their device. Using deep learning-based microphone, Google had reduced the number of microphones in their smart speakers to two microphones per device, whereas their arch-rival Amazon is using 7 microphones in a single smart speaker.

"Far-Field Speech and Voice Recognition market in RoW is expected to grow at highest CAGR during forecast period."

The growing adoption of smart speakers and smart home devices in South America, Israel, and UAE is driving the growth of the far-field speech and voice recognition market in RoW. South Africa and Nigeria are also key revenue generators in the far-field speech and voice recognition market in RoW. IBM Watson and Google are progressively making strategic decisions to penetrate into the comparatively lesser tapped region. IBM Watson added the capability to understand the Arabic language, and this has increased the demand for IBM Watson in the MEA region. Furthermore, the falling price of smart speakers from Google and Amazon have also fueled the growth of smart home devices among middle class consumer in the Middle East & Africa.

Breakdown of Profiles of Primary Participants:

  • By Company Type: Tier 1 - 27%, Tier 2 - 41%, and Tier 3 - 32%
  • By Designation: C-Level Executives - 26%, Directors - 40%, and Others - 34%
  • By Region: North America - 47%, Europe - 28%, APAC - 19%, and RoW - 6%

Synaptics (US), Texas Instruments (US), Qualcomm (US), Sensory (US), STMicroelectronics (Switzerland), Harman (US), Andrea Electronics (US), Cirrus Logic (US), Microsemi (US), and DSP Group (US) are a few key players in the far-field speech and voice recognition market.

Research Coverage:

The study covers the far-field speech and voice recognition market. It aims at estimating the market size and growth potential of this market, across different segments, such as by component, application, microphone solution, and geography. The study also includes an in-depth competitive analysis of key market players, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Key Benefits of Buying the Report:

The report will help leaders/new entrants in this market with information on the closest approximations of revenue numbers for the overall far-field speech and voice recognition market and its subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and plan suitable go-to-market strategies. The report will also help stakeholders understand the pulse of the market and provide them with information on key market drivers, restraints, challenges, and opportunities.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 OBJECTIVES OF THE STUDY
  • 1.2 DEFINITION
  • 1.3 SCOPE OF THE STUDY
    • 1.3.1 MARKETS COVERED
    • 1.3.2 GEOGRAPHIC SCOPE
    • 1.3.3 YEARS CONSIDERED FOR THE STUDY
  • 1.4 CURRENCY
  • 1.5 LIMITATIONS
  • 1.6 STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY DATA
      • 2.1.1.1 Secondary sources
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Key data from primary sources
      • 2.1.2.2 Key industry insights
      • 2.1.2.3 Breakdown of primaries
  • 2.2 MARKET SIZE ESTIMATION
    • 2.2.1 BOTTOM-UP APPROACH
    • 2.2.2 TOP-DOWN APPROACH
  • 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
  • 2.4 RESEARCH ASSUMPTIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES IN FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET
  • 4.2 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY APPLICATION (MILLION UNITS)
  • 4.3 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY COMPONENT (USD MILLION)
  • 4.4 FAR-FIELD SPEECH AND VOICE RECOGNITION, BY MICROPHONE SOLUTION (MILLION UNITS)
  • 4.5 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET (USD MILLION)
  • 4.6 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY GEOGRAPHY (USD MILLION)

5 MARKET OVERVIEW

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Growing impact of front-end hardware components on the accuracy of speech and voice recognition
      • 5.2.1.2 Growth in voice control-based smart speakers
      • 5.2.1.3 Technical advancement of deep-learning-based far-field microphones
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Growing privacy threat from voice enabled smart home devices
      • 5.2.2.2 Lack of accuracy in far-field speech and voice recognition systems in noisy and harsh environments
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Deployment of far-field speech and voice recognition in smart home devices
      • 5.2.3.2 Application of speech and voice recognition in service robotics
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Lack of standardization and power issues

6 MARKET, BY COMPONENT

  • 6.1 INTRODUCTION
  • 6.2 MICROPHONES
    • 6.2.1 MICROPHONES IS EXPECTED TO ACCOUNT FOR THE LARGEST MARKET SIZE THROUGHOUT THE FORECAST PERIOD
  • 6.3 DIGITAL SIGNAL PROCESSORS (DSP)
    • 6.3.1 DSP IMPROVES THE ACCURACY AND RELIABILITY IN THE FIELD OF DIGITAL COMMUNICATION BY REDUCING NOISE AND DISTORTION WITH THE HELP OF RELEVANT SIGNAL PROCESSING TECHNIQUES AND ALGORITHMS
  • 6.4 SOFTWARE
    • 6.4.1 SOFTWARE SEGMENT IS EXPECTED TO WITNESS HIGHEST GROWTH DURING THE FORECAST PERIOD

7 MARKET, BY MICROPHONE SOLUTION

  • 7.1 INTRODUCTION
  • 7.2 SINGLE MICROPHONE
    • 7.2.1 SMART CAMERAS, SMART FRIDGE, AND SMART LIGHT ARE SOME OF THE MAJOR APPLICATIONS FOR SINGLE MICROPHONES
  • 7.3 LINEAR ARRAYS
    • 7.3.1 LINEAR ARRAYS EXPECTED TO HOLD THE LARGEST SIZE OF FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET DURING THE FORECAST PERIOD
  • 7.4 CIRCULAR ARRAYS
    • 7.4.1 CIRCULAR ARRAYS OFFER A 360-DEGREE COVERAGE FOR THE ANGLE OF ARRIVAL OF THE SPEAKER.

8 FAR-FILED SPEECH AND VOICE RECOGNITION, BY APPLICATION

  • 8.1 INTRODUCTION
  • 8.2 AUTOMOTIVE
    • 8.2.1 WITH INTEGRATED FAR-FIELD SPEECH AND VOICE RECOGNITION, AUTOMOTIVE OEMS ARE ALSO ABLE TO PROVIDE CUSTOMIZABLE INFOTAINMENT SYSTEMS WITH SMART INTEGRATION OF CONTEXT, HISTORY, AND DRIVER PREFERENCES
  • 8.3 SMART TV/STB
    • 8.3.1 CHINESE SMART TV MANUFACTURERS ARE THE EARLY MOVERS IN THIS SMART TV/STB APPLICATION OF FAR-FIELD SPEECH AND VOICE RECOGNITION.
  • 8.4 SMART SPEAKERS
    • 8.4.1 INCREASING NEED TO ENHANCE CONSUMER CONVENIENCE IS FUELING THE DEMAND FOR FAR-FIELD BASED SMART SPEAKERS, ESPECIALLY IN SMART HOMES.
  • 8.5 ROBOTICS
    • 8.5.1 SEAMLESS TWO-WAY COMMUNICATIONS BETWEEN HUMAN BEINGS AND ROBOTS ARE EXPECTED TO BE THE NEXT MAJOR REVOLUTION IN THE COMING FEW YEARS.
  • 8.6 OTHERS

9 MARKET, BY GEOGRAPHY

  • 9.1 INTRODUCTION
  • 9.2 NORTH AMERICA
    • 9.2.1 US
      • 9.2.1.1 High adoption of smart devices with advanced technologies such as IoT and AI drives the market for far-field speech and voice recognition market in the US
    • 9.2.2 CANADA
      • 9.2.2.1 Continuous research on NLP and machine learning across research institutions and universities in Canada are expected to drive the growth of the market
    • 9.2.3 MEXICO
      • 9.2.3.1 Increasing market for electronic and automotive application provides opportunities for the growth of the far-field speech and voice recognition market
  • 9.3 EUROPE
    • 9.3.1 UK
      • 9.3.1.1 Growing demand for in-vehicle connectivity is propelling the market for far-field speech and voice recognition.
    • 9.3.2 GERMANY
      • 9.3.2.1 Greater dependence on AI and cognitive technologies in enterprises
    • 9.3.3 FRANCE
      • 9.3.3.1 Increasing demand for smart audio products for home entertainment applications
    • 9.3.4 ITALY
      • 9.3.4.1 Increasing demand for enhancing driving experience, and comfort and convenience in luxury vehicles are driving the growth of the market
    • 9.3.5 REST OF EUROPE
      • 9.3.5.1 Strong sales figures for smart devices are expected to generate demand for smart home devices
  • 9.4 APAC
    • 9.4.1 JAPAN
      • 9.4.1.1 Consumer electronics, finance, and healthcare are some of the major applications driving the growth of the speech and voice recognition industry
    • 9.4.2 CHINA
      • 9.4.2.1 Demand for smart devices enabled with AI is expected to be the major driver for the industry.
    • 9.4.3 SOUTH KOREA
      • 9.4.3.1 Rising technological advancements and tech-savvy population, are expected to drive the market in the country in the coming years.
    • 9.4.4 REST OF APAC
      • 9.4.4.1 Increasing internet penetration, growing use of smartphones, and increasing consumer spending power will likely drive far-field speech and voice recognition market
  • 9.5 ROW
    • 9.5.1 SOUTH AMERICA
      • 9.5.1.1 Smart home and consumer applications will propel the far-field speech and voice recognition market in South America
    • 9.5.2 MIDDLE EAST & AFRICA
      • 9.5.2.1 The far-field speech and voice recognition market for smart home and automotive applications is expected to witness growth in Saudi Arabia in the coming years

10 COMPETITIVE LANDSCAPE

  • 10.1 INTRODUCTION
  • 10.2 MARKET RANKING ANALYSIS: FAR-FIELD SPEECH & VOICE RECOGNITION MARKET
  • 10.3 COMPETITIVE SITUATIONS AND TRENDS
    • 10.3.1 PRODUCT LAUNCHES AND DEVELOPMENTS
    • 10.3.2 PARTNERSHIPS AND COLLABORATIONS
    • 10.3.3 ACQUISITIONS
  • 10.4 COMPETITIVE LEADERSHIP MAPPING
    • 10.4.1 VISIONARY LEADERS
    • 10.4.2 DYNAMIC DIFFERENTIATORS
    • 10.4.3 INNOVATORS
    • 10.4.4 EMERGING COMPANIES
  • 10.5 STRENGTH OF PRODUCT PORTFOLIO
  • 10.6 BUSINESS STRATEGY EXCELLENCE

11 COMPANY PROFILES

  • 11.1 KEY PLAYERS

(Business overview, Products offered, Recent developments, MNM view, SWOT analysis)*

    • 11.1.1 SYNAPTICS
    • 11.1.2 TEXAS INSTRUMENTS
    • 11.1.3 ANDREA ELECTRONICS
    • 11.1.4 CIRRUS LOGIC
    • 11.1.5 MICROSEMI
    • 11.1.6 DSP GROUP
    • 11.1.7 QUALCOMM
    • 11.1.8 SENSORY
    • 11.1.9 STMICROELECTRONICS
    • 11.1.10 HARMAN
  • 11.2 OTHER COMPANIES
    • 11.2.1 MEEAMI TECHNOLOGIES
    • 11.2.2 ALANGO
    • 11.2.3 XMOS
    • 11.2.4 MIGHTYWORKS
    • 11.2.5 MATRIX LABS
    • 11.2.6 FORTEMEDIA
    • 11.2.7 RETUNE-DSP
    • 11.2.8 KNOWLES
    • 11.2.9 VOCAL TECHNOLOGIES
    • 11.2.10 VESPER TECHNOLOGIES

Business overview, Products offered, Recent developments, MNM view, SWOT analysis might not be captured in case of unlisted companies.

12 APPENDIX

  • 12.1 INSIGHTS OF INDUSTRY EXPERTS
  • 12.2 DISCUSSION GUIDE
  • 12.3 KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 12.4 AVAILABLE CUSTOMIZATIONS
  • 12.5 RELATED REPORTS
  • 12.6 AUTHOR DETAILS
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