遠距離音声認識の世界市場予測(~2024年)

【英語タイトル】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

MarketsandMarketsが出版した調査資料(SE-7000)・商品コード:SE-7000
・発行会社(調査会社):MarketsandMarkets
・発行日:2019年3月28日
・ページ数:141
・レポート言語:英語
・レポート形式:PDF
・納品方法:Eメール(受注後24時間以内)
・調査対象地域:グローバル
・産業分野:半導体・電子機器
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遠距離音声認識の世界市場は、2018年の9億6,900万米ドルから2024年には35億500万米ドルに達し、この期間中23.89%の年平均成長率で成長すると予測されています。この市場の成長を促す要因として、深層学習ベースの遠距離マイクロフォンの進歩、スピーチ・音声認識の精度に対するフロントエンドハードウェアコンポーネントの影響の増大、ならびに音声制御ベースのスマートスピーカーの成長が考えられます。一方で、音声対応スマートホームデバイスから受けるプライバシーの脅威の高まり、騒がしい環境や過酷な環境における遠距離音声認識システムの正確性欠如により、市場の成長は抑制されています。当調査レポートでは、遠距離音声認識の世界市場について調査・分析し、エグゼクティブサマリー、市場インサイト、市場概観/市場動向、コンポーネント(マイクロフォン、DSP、ソフトウェア)分析、用途(スマートTV・STB、スマートスピーカー、自動車、ロボティクス)分析、マイクロフォンソリューション(シングル、リニア、サーキュラー)分析、遠距離音声認識の世界市場規模及び予測、市場動向、競争状況、関連企業分析などの情報をお届けいたします。
【レポートの概要】

“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 profile 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.

【レポートの目次】

TABLE OF CONTENTS

1 INTRODUCTION 15
1.1 OBJECTIVES OF THE STUDY 15
1.2 DEFINITION 15
1.3 SCOPE OF THE STUDY 16
1.3.1 MARKETS COVERED 16
1.3.2 GEOGRAPHIC SCOPE 16
1.3.3 YEARS CONSIDERED FOR THE STUDY 17
1.4 CURRENCY 17
1.5 LIMITATIONS 17
1.6 STAKEHOLDERS 18
2 RESEARCH METHODOLOGY 19
2.1 RESEARCH DATA 19
2.1.1 SECONDARY DATA 20
2.1.1.1 Secondary sources 21
2.1.2 PRIMARY DATA 21
2.1.2.1 Key data from primary sources 22
2.1.2.2 Key industry insights 22
2.1.2.3 Breakdown of primaries 23
2.2 MARKET SIZE ESTIMATION 23
2.2.1 BOTTOM-UP APPROACH 23
2.2.2 TOP-DOWN APPROACH 24
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 25
2.4 RESEARCH ASSUMPTIONS 26
3 EXECUTIVE SUMMARY 27
4 PREMIUM INSIGHTS 33
4.1 ATTRACTIVE OPPORTUNITIES IN FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET 33
4.2 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY APPLICATION (MILLION UNITS) 34
4.3 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY COMPONENT (USD MILLION) 34
4.4 FAR-FIELD SPEECH AND VOICE RECOGNITION, BY MICROPHONE SOLUTION
(MILLION UNITS) 35
4.5 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET (USD MILLION) 35
4.6 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY GEOGRAPHY (USD MILLION) 36

5 MARKET OVERVIEW 37
5.1 INTRODUCTION 37
5.2 MARKET DYNAMICS 37
5.2.1 DRIVERS 38
5.2.1.1 Growing impact of front-end hardware components on the accuracy of speech and voice recognition 38
5.2.1.2 Growth in voice control–based smart speakers 38
5.2.1.3 Technical advancement of deep-learning-based far-field microphones 39
5.2.2 RESTRAINTS 40
5.2.2.1 Growing privacy threat from voice enabled smart home devices 40
5.2.2.2 Lack of accuracy in far-field speech and voice recognition systems in noisy and harsh environments 40
5.2.3 OPPORTUNITIES 41
5.2.3.1 Deployment of far-field speech and voice recognition in smart
home devices 41
5.2.3.2 Application of speech and voice recognition in service robotics 41
5.2.4 CHALLENGES 42
5.2.4.1 Lack of standardization and power issues 42
6 MARKET, BY COMPONENT 43
6.1 INTRODUCTION 43
6.2 MICROPHONES 44
6.2.1 MICROPHONES IS EXPECTED TO ACCOUNT FOR THE LARGEST MARKET SIZE THROUGHOUT THE FORECAST PERIOD 44
6.3 DIGITAL SIGNAL PROCESSORS (DSP) 46
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 46
6.4 SOFTWARE 48
6.4.1 SOFTWARE SEGMENT IS EXPECTED TO WITNESS HIGHEST GROWTH DURING THE FORECAST PERIOD 48
7 MARKET, BY MICROPHONE SOLUTION 51
7.1 INTRODUCTION 51
7.2 SINGLE MICROPHONE 53
7.2.1 SMART CAMERAS, SMART FRIDGE, AND SMART LIGHT ARE SOME OF
THE MAJOR APPLICATIONS FOR SINGLE MICROPHONES 53
7.3 LINEAR ARRAYS 53
7.3.1 LINEAR ARRAYS EXPECTED TO HOLD THE LARGEST SIZE OF FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET DURING THE FORECAST PERIOD 53
7.4 CIRCULAR ARRAYS 55
7.4.1 CIRCULAR ARRAYS OFFER A 360-DEGREE COVERAGE FOR THE ANGLE OF ARRIVAL OF THE SPEAKER. 55
8 FAR-FILED SPEECH AND VOICE RECOGNITION, BY APPLICATION 56
8.1 INTRODUCTION 56
8.2 AUTOMOTIVE 57
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 57
8.3 SMART TV/STB 60
8.3.1 CHINESE SMART TV MANUFACTURERS ARE THE EARLY MOVERS IN
THIS SMART TV/STB APPLICATION OF FAR-FIELD SPEECH AND
VOICE RECOGNITION. 60
8.4 SMART SPEAKERS 63
8.4.1 INCREASING NEED TO ENHANCE CONSUMER CONVENIENCE IS FUELING
THE DEMAND FOR FAR-FIELD BASED SMART SPEAKERS, ESPECIALLY IN SMART HOMES. 63
8.5 ROBOTICS 66
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. 66
8.6 OTHERS 69
9 MARKET, BY GEOGRAPHY 72
9.1 INTRODUCTION 72
9.2 NORTH AMERICA 73
9.2.1 US 77
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 77
9.2.2 CANADA 77
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 77
9.2.3 MEXICO 78
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 78
9.3 EUROPE 78
9.3.1 UK 83
9.3.1.1 Growing demand for in-vehicle connectivity is propelling the market for far-field speech and voice recognition. 83
9.3.2 GERMANY 83
9.3.2.1 Greater dependence on AI and cognitive technologies in enterprises 83
9.3.3 FRANCE 83
9.3.3.1 Increasing demand for smart audio products for home entertainment applications 83

9.3.4 ITALY 84
9.3.4.1 Increasing demand for enhancing driving experience, and comfort and convenience in luxury vehicles are driving the growth of
the market 84
9.3.5 REST OF EUROPE 84
9.3.5.1 Strong sales figures for smart devices are expected to generate demand for smart home devices 84
9.4 APAC 85
9.4.1 JAPAN 88
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 88
9.4.2 CHINA 89
9.4.2.1 Demand for smart devices enabled with AI is expected to be
the major driver for the industry. 89
9.4.3 SOUTH KOREA 89
9.4.3.1 Rising technological advancements and tech-savvy population, are expected to drive the market in the country in the coming years. 89
9.4.4 REST OF APAC 89
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 89
9.5 ROW 90
9.5.1 SOUTH AMERICA 92
9.5.1.1 Smart home and consumer applications will propel the far-field speech and voice recognition market in South America 92
9.5.2 MIDDLE EAST & AFRICA 93
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 93
10 COMPETITIVE LANDSCAPE 94
10.1 INTRODUCTION 94
10.2 MARKET RANKING ANALYSIS: FAR-FIELD SPEECH & VOICE RECOGNITION MARKET 95
10.3 COMPETITIVE SITUATIONS AND TRENDS 96
10.3.1 PRODUCT LAUNCHES AND DEVELOPMENTS 96
10.3.2 PARTNERSHIPS AND COLLABORATIONS 97
10.3.3 ACQUISITIONS 98
10.4 COMPETITIVE LEADERSHIP MAPPING 98
10.4.1 VISIONARY LEADERS 98
10.4.2 DYNAMIC DIFFERENTIATORS 98
10.4.3 INNOVATORS 98
10.4.4 EMERGING COMPANIES 98
10.5 STRENGTH OF PRODUCT PORTFOLIO 100
10.6 BUSINESS STRATEGY EXCELLENCE 101
11 COMPANY PROFILES 102
11.1 KEY PLAYERS 102
(Business overview, Products offered, Recent developments, MNM view, SWOT analysis)*
11.1.1 SYNAPTICS 102
11.1.2 TEXAS INSTRUMENTS 106
11.1.3 ANDREA ELECTRONICS 109
11.1.4 CIRRUS LOGIC 111
11.1.5 MICROSEMI 114
11.1.6 DSP GROUP 117
11.1.7 QUALCOMM 120
11.1.8 SENSORY 122
11.1.9 STMICROELECTRONICS 124
11.1.10 HARMAN 127
11.2 OTHER COMPANIES 129
11.2.1 MEEAMI TECHNOLOGIES 129
11.2.2 ALANGO 129
11.2.3 XMOS 130
11.2.4 MIGHTYWORKS 130
11.2.5 MATRIX LABS 130
11.2.6 FORTEMEDIA 131
11.2.7 RETUNE-DSP 131
11.2.8 KNOWLES 131
11.2.9 VOCAL TECHNOLOGIES 132
11.2.10 VESPER TECHNOLOGIES 132
*Business overview, Products offered, Recent developments, MNM view, SWOT analysis might not be captured in case of unlisted companies.
12 APPENDIX 133
12.1 INSIGHTS OF INDUSTRY EXPERTS 133
12.2 DISCUSSION GUIDE 134
12.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 137
12.4 AVAILABLE CUSTOMIZATIONS 139
12.5 RELATED REPORTS 139
12.6 AUTHOR DETAILS 140

LIST OF TABLES

TABLE 1 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY COMPONENT,
2016– 2024 (MILLION UNITS) 43
TABLE 2 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY COMPONENT,
2016–2024 (USD MILLION) 44
TABLE 3 MICROPHONES FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY REGION, 2016–2024 (USD MILLION) 45
TABLE 4 MICROPHONE FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY APPLICATION, 2016–2024 (USD MILLION) 46
TABLE 5 DSP/PROCESSORS FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY REGION, 2016–2024 (USD MILLION) 47
TABLE 6 DSP/PROCESSORS FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY APPLICATION, 2016–2024 (USD MILLION) 48
TABLE 7 SOFTWARE FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY REGION, 2016–2024 (USD MILLION) 49
TABLE 8 SOFTWARE FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY APPLICATION, 2016–2024 (USD MILLION) 50
TABLE 9 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY MICROPHONE SOLUTION, 2016–2024 (MILLION UNITS) 52
TABLE 10 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY MICROPHONE SOLUTION, 2016–2024 (USD MILLION) 52
TABLE 11 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET FOR SINGLE MICROPHONE MARKET, BY REGION, 2016–2024 (MILLION UNITS) 53
TABLE 12 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET FOR LINEAR MICROPHONE MARKET, BY REGION, 2016–2024 (USD MILLION) 54
TABLE 13 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET FOR CIRCULAR MICROPHONE MARKET, BY REGION, 2016–2024 (USD MILLION) 55
TABLE 14 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY APPLICATION,
2016–2024 (MILLION UNITS) 56
TABLE 15 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY APPLICATION,
2016–2024 (USD MILLION) 57
TABLE 16 AUTOMOTIVE FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY COMPONENT, 2016–2024 (MILLION UNITS) 58
TABLE 17 AUTOMOTIVE FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY COMPONENT, 2016–2024 (USD MILLION) 59
TABLE 18 AUTOMOTIVE FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY REGION, 2016–2024 (MILLION UNITS) 59
TABLE 19 AUTOMOTIVE FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY REGION, 2016–2024 (USD MILLION) 60
TABLE 20 SMART TV/STB FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY COMPONENT, 2016–2024 (MILLION UNITS) 60
TABLE 21 SMART TV/STB FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY COMPONENT, 2016–2024 (USD MILLION) 61
TABLE 22 SMART TV/STB FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY REGION, 2016–2024 (MILLION UNITS) 61
TABLE 23 SMART TV/STB FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY REGION, 2016–2024 (USD MILLION) 62
TABLE 24 SMART SPEAKER FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY COMPONENT, 2016–2024 (MILLION UNITS) 63
TABLE 25 SMART SPEAKER FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY COMPONENT, 2016–2024 (USD MILLION) 64
TABLE 26 SMART SPEAKER FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY REGION, 2016–2024 (MILLION UNITS) 65
TABLE 27 SMART SPEAKER FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY REGION, 2016–2024 (USD MILLION) 65
TABLE 28 ROBOTICS FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY COMPONENT, 2016–2024 (MILLION UNITS) 66
TABLE 29 ROBOTICS FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY COMPONENT, 2016–2024 (USD MILLION) 67
TABLE 30 ROBOTICS FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY REGION, 2016–2024 (MILLION UNITS) 68
TABLE 31 ROBOTICS FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY REGION, 2016–2024 (USD MILLION) 68
TABLE 32 OTHER FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY COMPONENT, 2016–2024 (MILLION UNITS) 69
TABLE 33 OTHER FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY COMPONENT, 2016–2024 (USD MILLION) 70
TABLE 34 OTHERS FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY REGION, 2016–2024 (MILLION UNITS) 70
TABLE 35 OTHERS FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET,
BY REGION, 2016–2024 (USD MILLION) 71
TABLE 36 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY REGION,
2016–2024 (USD MILLION) 73
TABLE 37 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN NORTH AMERICA,
BY COUNTRY, 2016–2024 (USD MILLION) 74
TABLE 38 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN NORTH AMERICA,
BY APPLICATION, 2016–2024 (USD MILLION) 75
TABLE 39 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN NORTH AMERICA,
BY APPLICATION, 2016–2024 (MILLION UNITS) 75
TABLE 40 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN NORTH AMERICA,
BY MICROPHONE SOLUTION, 2016–2024 (USD MILLION) 76
TABLE 41 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN NORTH AMERICA,
BY COMPONENT, 2016–2024 (MILLION UNITS) 76
TABLE 42 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN NORTH AMERICA,
BY COMPONENT, 2016–2024 (USD MILLION) 77
TABLE 43 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN EUROPE,
BY COUNTRY, 2016–2024 (USD MILLION) 80
TABLE 44 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN EUROPE,
BY APPLICATION, 2016–2024 (USD MILLION) 80
TABLE 45 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN EUROPE,
BY APPLICATION, 2016–2024 (MILLION UNITS) 81
TABLE 46 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN EUROPE,
BY MICROPHONE SOLUTION, 2016–2024 (USD MILLION) 81
TABLE 47 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN EUROPE,
BY COMPONENT, 2016–2024 (MILLION UNITS) 82
TABLE 48 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN EUROPE,
BY COMPONENT, 2016–2024 (USD MILLION) 82
TABLE 49 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN APAC,
BY COUNTRY, 2016–2024 (USD MILLION) 86
TABLE 50 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN APAC,
BY APPLICATION, 2016–2024 (USD MILLION) 86
TABLE 51 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN APAC,
BY APPLICATION, 2016–2024 (MILLION UNITS) 87
TABLE 52 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN APAC,
BY MICROPHONE TYPE, 2016–2024 (USD MILLION) 87
TABLE 53 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN APAC,
BY COMPONENT, 2016–2024 (MILLION UNITS) 87
TABLE 54 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN APAC,
BY COMPONENT, 2016–2024 (USD MILLION) 88
TABLE 55 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN ROW,
BY COUNTRY, 2016–2024 (USD MILLION) 90
TABLE 56 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN ROW,
BY APPLICATION, 2016–2024 (USD MILLION) 90
TABLE 57 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN ROW,
BY APPLICATION, 2016–2024 (MILLION UNITS) 91
TABLE 58 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN ROW,
BY MICROPHONE SOLUTION, 2016–2024 (USD MILLION) 91
TABLE 59 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN ROW,
BY COMPONENT, 2016–2024 (MILLION UNITS) 92
TABLE 60 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET IN ROW,
BY COMPONENT, 2016–2024 (USD MILLION) 92
TABLE 61 PRODUCT LAUNCHES AND DEVELOPMENTS (2016–2018) 96
TABLE 62 PARTNERSHIPS AND COLLABORATIONS (2015–2018) 97
TABLE 63 ACQUISITIONS, 2017 98


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