Abstract
Summary
The far-field speech and voice recognition market is projected to grow from USD 3.7 billion in 2023 and is projected to reach USD 6.9 billion by 2028; it is expected to grow at a CAGR of 13.1% from 2023 to 2028.
Increasing adoption of voice control-based smart speakers, enhanced accuracy through advanced front-end hardware, and technical advancement of deep-learning-based far-field microphones are the factors expected to fuel the growth of the far-field speech and voice recognition market.
“Microphones segment of the far-field speech and voice recognition market to witness highest growth during the forecast period.”
By component, the far-field speech and voice recognition market has been segmented into microphones, digital signal processors, and software. The microphones segment is expected to grow at the highest CAGR during the forecast period. Far-field microphones equipped with advanced noise-cancellation and beamforming technology can enhance the precision of voice recognition systems, leading to better performance even in environments with high levels of noise and over longer distances. This has resulted in a growing demand for high-quality microphones that can capture voice commands from across the room, as they have been integrated into various smart devices such as smart speakers, soundbars, and smart TVs. This trend has created a new market for high-end microphones, allowing individuals to easily control their devices and enhance their overall experience.
“Automotive application segment to witness significant growth for far-field speech and voice recognition market during the forecast period.” The growth of the far-field speech and voice recognition market in the automotive industry is driven by several factors. These include the increasing demand for connected cars, the need for safer driving, and the convenience of hands-free communication. Advancements in natural language processing and machine learning are making it possible for automotive systems to accurately recognize and respond to spoken commands, further driving the growth of the market. As a result, major players in the automotive industry are investing heavily in the development of far-field speech and voice recognition technology, driving innovation, and creating new growth opportunities.
“North America to hold a major market share of the far-field speech and voice recognition market during the forecast period” North America is expected to hold a major market share for far-field speech and voice recognition market during the forecast period. The region has been highly responsive to the integration of the latest technologies, such as artificial intelligence (AI) and the Internet of Things (IoT). The North American far-field speech and voice recognition market is primarily driven by the increased adoption of AI software and large-scale deployment of neural networks across various end-use verticals, including consumer electronics and automotive. In consumer electronics, smart speakers are among the key application areas of the far-field speech and voice recognition market. The growing popularity of connected and smart devices boosts the growth of the smart speaker market in this region. According to a National Public Radio (NPR) (US) survey, 35% of Americans own a smart speaker as of 2022. In 2021, 32% of US adults owned a smart speaker. This significant increase in smart speakers across North America will fuel market opportunities in the region.
Extensive primary interviews were conducted with key industry experts in the far-field speech and voice recognition market space to determine and verify the market size for various segments and subsegments gathered through secondary research. The break-up of primary participants for the report has been shown below:
The report profiles key players in the far-field speech and voice recognition market with their respective market ranking analysis. Prominent players profiled in this report are Qualcomm Incorporated (US), HARMAN International (US), Synaptics Incorporated (US), NXP Semiconductors (Netherlands), STMicroelectronics (Switzerland), Andrea Electronics (US), Cirrus Logic (US), Microchip Technology Inc. (US), Infineon Technologies AG (Germany) and Knowles Corporation (US).
Apart from this, Analog Devices, Inc. (US), Sensory, Inc. (US), Meeami Technologies (India), TDK Corporation (Japan), Vocal Technologies (US), Vesper Technologies (US), Alango Technologies Ltd. (Israel), MediaTek Inc. (Taiwan), CEVA, Inc. (US), Fortemedia, Inc. (US), XMOS (UK) are among a few emerging companies in the far-field speech and voice recognition market.
Research Coverage: This research report categorizes the far-field speech and voice recognition market on the basis of component, microphone solution, application, and region. The report describes the major drivers, restraints, challenges, and opportunities pertaining to the far-field speech and voice recognition market and forecasts the same till 2028. Apart from these, the report also consists of leadership mapping and analysis of all the companies included in the far-field speech and voice recognition ecosystem.
Key Benefits of Buying the Report The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall far-field speech and voice recognition market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and to plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
• Analysis of key drivers (Enhanced accuracy through advanced front-end hardware, Increasing adoption of voice control-based smart speakers, and Technological advancement of deep-learning-based far-field microphones), restraints (Privacy threats, and Lack of accuracy in noisy and harsh environments), opportunities (Expanding into multilingual and global markets, Deployment in smart home devices, and Increasing application in service robotics), and challenges (Power issues and lack of standardization) influencing the growth of the far-field speech and voice recognition market.
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the far-field speech and voice recognition market.
• Market Development: Comprehensive information about lucrative markets – the report analysis the far-field speech and voice recognition market across varied regions
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the far-field speech and voice recognition market
• Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like Qualcomm Incorporated (US), HARMAN International (US), Synaptics Incorporated (US), NXP Semiconductors (Netherlands), STMicroelectronics (Switzerland), among others in the far-field speech and voice recognition market.
Table of Contents
1 INTRODUCTION 31
1.1 STUDY OBJECTIVES 31
1.2 MARKET DEFINITION 31
1.3 INCLUSIONS AND EXCLUSIONS 32
1.4 STUDY SCOPE 33
1.4.1 MARKETS COVERED 33
1.4.2 REGIONS COVERED 33
1.4.3 YEARS CONSIDERED 34
1.5 CURRENCY CONSIDERED 34
1.6 LIMITATIONS 34
1.7 STAKEHOLDERS 35
1.8 SUMMARY OF CHANGES 35
1.9 RECESSION ANALYSIS 36
2 RESEARCH METHODOLOGY 37
2.1 RESEARCH DATA 37
2.1.1 SECONDARY DATA 38
- 2.1.1.1 Key secondary sources 38
- 2.1.1.2 Key data from secondary sources 39
2.1.2 PRIMARY DATA 39
- 2.1.2.1 Primary interviews with experts 39
- 2.1.2.2 Breakdown of primary interviews 40
- 2.1.2.3 Key data from primary sources 41
2.1.3 SECONDARY AND PRIMARY RESEARCH 42
- 2.1.3.1 Key industry insights 43
2.2 MARKET SIZE ESTIMATION 43
2.2.1 BOTTOM-UP APPROACH 44
- 2.2.1.1 Approach for capturing market size using bottom-up analysis (demand side) 45
2.2.2 TOP-DOWN APPROACH 46
- 2.2.2.1 Approach for capturing market size using top-down analysis (supply side) 46
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 47
2.4 RESEARCH ASSUMPTIONS 48
2.5 RECESSION IMPACT ANALYSIS 49
2.6 RISK ASSESSMENT 49
2.7 RESEARCH LIMITATIONS 50
3 EXECUTIVE SUMMARY 51
3.1 RECESSION ANALYSIS 51
4 PREMIUM INSIGHTS 56
4.1 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET OVERVIEW 56
4.2 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY COMPONENT 57
4.3 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY MICROPHONE SOLUTION AND APPLICATION 57
4.4 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY REGION 58
4.5 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY COUNTRY 58
5 MARKET OVERVIEW 59
5.1 INTRODUCTION 59
5.2 MARKET DYNAMICS 59
5.2.1 DRIVERS 60
- 5.2.1.1 Enhanced accuracy through advanced front-end hardware 60
- 5.2.1.2 Increasing adoption of voice control-based smart speakers 60
- 5.2.1.3 Technological advancement of deep learning-based far-field microphones 61
5.2.2 RESTRAINTS 62
- 5.2.2.1 Privacy threats 62
- 5.2.2.2 Lack of accuracy in noisy and harsh environments 63
5.2.3 OPPORTUNITIES 63
- 5.2.3.1 Expansion into multilingual and global markets 63
- 5.2.3.2 Deployment in smart home devices 64
- 5.2.3.3 Increasing application in service robotics 65
5.2.4 CHALLENGES 66
- 5.2.4.1 Power issues and lack of standardization 66
5.3 TECHNOLOGY ANALYSIS 66
5.3.1 NEURAL NETWORK-BASED SPEECH RECOGNITION 66
5.3.2 ACOUSTIC ECHO CANCELLATION (AEC) 67
5.3.3 BEAMFORMING AND MICROPHONE ARRAYS 68
5.4 VALUE CHAIN ANALYSIS 69
5.5 ECOSYSTEM ANALYSIS 71
5.6 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 73
5.7 PORTER’S FIVE FORCES ANALYSIS 73
5.7.1 INTENSITY OF COMPETITIVE RIVALRY 74
5.7.2 BARGAINING POWER OF SUPPLIERS 74
5.7.3 BARGAINING POWER OF BUYERS 74
5.7.4 THREAT OF SUBSTITUTES 74
5.7.5 THREAT OF NEW ENTRANTS 75
5.8 AVERAGE SELLING PRICE ANALYSIS 75
5.9 CASE STUDY ANALYSIS 77
5.9.1 USE CASE 1: ARKX LABORATORIES ENABLED ROBUST FAR-FIELD VOICE CONTROL IN CHALLENGING ENVIRONMENTS 77
5.9.2 USE CASE 2: ARKX AFE ENHANCED VOICE INTERACTION IN SELF-SERVICE KIOSKS 78
5.9.3 USE CASE 3: ALEXA HELPED HAWAII PACIFIC HEALTH TO ENHANCE PATIENT EXPERIENCE THROUGH QUERY RESOLUTION 78
5.10 TRADE ANALYSIS 79
5.11 PATENT ANALYSIS 83
5.11.1 LIST OF MAJOR PATENTS 85
5.12 KEY CONFERENCES AND EVENTS IN 2023-2024 86
5.13 TARIFF ANALYSIS 87
5.14 STANDARDS AND REGULATORY LANDSCAPE 90
5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 90
5.14.2 REGULATORY STANDARDS 94
- 5.14.2.1 ISO/IEC 19794-2 94
- 5.14.2.2 ISO/IEC 30107 94
- 5.14.2.3 Federal Information Processing Standards 94
- 5.14.2.4 European Telecommunications Standards Institute 94
- 5.14.2.5 ANSI/CTA-2082 94
- 5.14.2.6 EU RED Directive 94
5.14.3 GOVERNMENT REGULATIONS 94
- 5.14.3.1 US 94
- 5.14.3.2 European Union 95
- 5.14.3.3 China 95
- 5.14.3.4 Japan 95
5.15 KEY STAKEHOLDERS AND BUYING CRITERIA 95
5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS 95
5.15.2 BUYING CRITERIA 96
6 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY COMPONENT 98
6.1 INTRODUCTION 99
6.2 MICROPHONES 101
6.2.1 RISING DEMAND FOR VOICE-CONTROLLED DEVICES TO FUEL MARKET 101
6.3 DIGITAL SIGNAL PROCESSORS 104
6.3.1 DEMAND FOR IMPROVED ACCURACY AND RELIABILITY IN DIGITAL COMMUNICATION TO DRIVE MARKET 104
6.4 SOFTWARE 106
6.4.1 CONTINUOUS ADVANCEMENTS IN AI, ML, AND SIGNAL PROCESSING TO ACCELERATE MARKET GROWTH 106
7 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY MICROPHONE SOLUTION 110
7.1 INTRODUCTION 111
7.2 SINGLE MICROPHONE 113
7.2.1 MAJOR APPLICATIONS IN IOT DEVICES TO DRIVE MARKET 113
7.3 LINEAR ARRAYS 113
7.3.1 DEMAND FOR SOUND LOCALIZATION AND IMPROVED VOICE RECOGNITION TO DRIVE MARKET 113
7.4 CIRCULAR ARRAYS 114
7.4.1 360-DEGREE COVERAGE TO BOOST DEMAND 114
8 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY APPLICATION 115
8.1 INTRODUCTION 116
8.2 SMART TV/STB 119
8.2.1 INCREASING DEMAND FOR HANDS-FREE AND INTUITIVE CONTROL TO FUEL MARKET 119
8.3 SMART SPEAKERS 121
8.3.1 RISING DEMAND FOR VOICE-ENABLED SMART HOME DEVICES TO DRIVE MARKET 121
8.4 AUTOMOTIVE 124
8.4.1 RISING DEMAND FOR CONNECTED CARS TO BOOST MARKET 124
8.5 ROBOTICS 127
8.5.1 ADOPTION OF HOUSEHOLD ROBOTS TO DRIVE DEMAND 127
8.6 OTHERS 130
9 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET, BY REGION 134
9.1 INTRODUCTION 135
9.2 NORTH AMERICA 137
9.2.1 NORTH AMERICA: RECESSION IMPACT 137
9.2.2 US 141
- 9.2.2.1 Improved focus on voice-enabled applications for automotive, healthcare, and retail sectors to fuel demand 141
9.2.3 CANADA 142
- 9.2.3.1 Technological advancements in AI and ML to drive market 142
9.2.4 MEXICO 142
- 9.2.4.1 Development of voice recognition systems tailored to local language, accents, and cultural preferences to propel market 142
9.3 EUROPE 143
9.3.1 EUROPE: RECESSION IMPACT 143
9.3.2 GERMANY 147
- 9.3.2.1 High demand for voice-controlled devices to propel market 147
9.3.3 UK 148
- 9.3.3.1 Rising penetration of voice-controlled smart TV in domestic households to augment market growth 148
9.3.4 FRANCE 148
- 9.3.4.1 Increasing adoption of voice-enabled devices to boost market 148
9.3.5 ITALY 149
- 9.3.5.1 Integration of voice recognition in vehicles by luxury auto brands to drive market 149
9.3.6 REST OF EUROPE 149
9.4 ASIA PACIFIC 150
9.4.1 ASIA PACIFIC: RECESSION IMPACT 150
9.4.2 CHINA 154
- 9.4.2.1 Robust presence of key market players to support market 154
9.4.3 INDIA 155
- 9.4.3.1 Increased prevalence of mobile and Internet users to expand market growth 155
9.4.4 JAPAN 155
- 9.4.4.1 Rapid deployment of AI into innovative robotic devices to fuel market 155
9.4.5 SOUTH KOREA 156
- 9.4.5.1 Technological innovations and tax incentives to provide impetus to market growth 156
9.4.6 REST OF ASIA PACIFIC 156
9.5 ROW 157
9.5.1 ROW: RECESSION IMPACT 157
9.5.2 SOUTH AMERICA 160
- 9.5.2.1 Smart home and consumer applications to spur market growth 160
9.5.3 MIDDLE EAST & AFRICA 160
- 9.5.3.1 Strong focus on digital transformation to contribute to market growth 160
10 COMPETITIVE LANDSCAPE 161
10.1 OVERVIEW 161
10.1.1 KEY GROWTH STRATEGIES ADOPTED BY LEADING PLAYERS IN FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET 161
10.2 REVENUE ANALYSIS 163
10.3 MARKET SHARE ANALYSIS (2022) 163
10.4 COMPANY EVALUATION MATRIX 165
10.4.1 STARS 166
10.4.2 EMERGING LEADERS 166
10.4.3 PERVASIVE PLAYERS 166
10.4.4 PARTICIPANTS 166
10.5 STARTUP/SME EVALUATION MATRIX 168
10.5.1 PROGRESSIVE COMPANIES 169
10.5.2 RESPONSIVE COMPANIES 169
10.5.3 DYNAMIC COMPANIES 169
10.5.4 STARTING BLOCKS 170
10.6 COMPETITIVE BENCHMARKING 172
10.7 FAR-FIELD SPEECH AND VOICE RECOGNITION MARKET: COMPANY FOOTPRINT 173
10.8 COMPETITIVE SCENARIOS AND TRENDS 178
10.8.1 PRODUCT LAUNCHES 178
10.8.2 DEALS 180
11 COMPANY PROFILES 185
11.1 KEY PLAYERS 185
11.1.1 QUALCOMM INCORPORATED 185
11.1.2 HARMAN INTERNATIONAL 190
11.1.3 STMICROELECTRONICS 193
11.1.4 SYNAPTICS INCORPORATED 198
11.1.5 NXP SEMICONDUCTORS 202
11.1.6 KNOWLES CORPORATION 208
11.1.7 ANDREA ELECTRONICS 212
11.1.8 CIRRUS LOGIC 216
11.1.9 MICROCHIP TECHNOLOGY INC 220
11.1.10 INFINEON TECHNOLOGIES AG 224
11.2 OTHER PLAYERS 229
11.2.1 ANALOG DEVICES, INC 229
11.2.2 SENSORY INC 230
11.2.3 MEEAMI TECHNOLOGIES 231
11.2.4 TDK CORPORATION 232
11.2.5 VOCAL TECHNOLOGIES 233
11.2.6 VESPER TECHNOLOGIES, INC 234
11.2.7 ALANGO TECHNOLOGIES LTD 235
11.2.8 MEDIATEK INC 236
11.2.9 CEVA, INC 237
11.2.10 FORTEMEDIA, INC 238
11.2.11 XMOS 239
11.2.12 MATRIX 240
11.2.13 ADAPTIVE DIGITAL TECHNOLOGIES 241
11.2.14 GOERTEK 242
11.2.15 SENSIBEL 243
12 APPENDIX 244
12.1 DISCUSSION GUIDE 244
12.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 247
12.3 CUSTOMIZATION OPTIONS 249
12.4 RELATED REPORTS 249
12.5 AUTHOR DETAILS 250