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The far-field speech and voice recognition market is experiencing a surge in growth, driven by various market factors that underscore its importance in the technology landscape. One key factor contributing to the market's expansion is the increasing integration of voice recognition technology in smart devices. The emergence of smart homes and IoT has enabled consumers to demand convenient, touch-free interaction with their devices. This demand is well met through far-field speech and voice recognition, which help the user to control different gadgets or appliances using simple vocal commands from a distance.
In addition, the market is greatly driven by innovations in artificial language processing (NLP) and machine learning algorithms. As these technologies continue to develop, the far-field speech recognition systems become more accurate and work efficiently eventually providing better user experience. This creates a domino effect in the market with businesses and consumers being more willing to embrace these systems when they give consistent and contextual response. Continuous advancements in algorithms help shape a competitive environment within the market where companies try to provide innovative solutions with advanced language understanding capabilities.
The other major market influence is the increasing use of virtual assistants. The growing acceptance of virtual assistants such as the Amazon Alexa, Google Assistant, and Apple’s Siri is contributing to an even greater demand for far-field speech recognition technologies. These virtual assistants make use of far-field microphones and voice recognition software, which are used effectively to understand user’s commands. As new companies venture into the field of virtual assistants, there is rising number who comprise the market for far-field speech and voice recognition which in turn helps create an opportunity to innovate and positions with room for growth.
Furthermore, the market is driven by increasing user awareness and adoption of voice-enabled applications in different domains. Businesses strive to implement far-field speech and voice recognition capabilities in automotive infotainment systems or healthcare devices for handsfree activation. This flexibility is attracting investments and partnerships, thus stimulating the growth of this market. Given the efficiency and accessibility attributes of voice-controlled interfaces, industries are bound to increase their demand for far-field speech recognition technology across all sectors.
In addition, the trend towards smart cities and connected infrastructure has emerged as a growth opportunity for this market. Governments and cities across the world are investing in smart technologies that can improve urban living, far-field speech recognition plays a key role in designing interactive and efficient public areas. Applications range from voice-controlled public services to smart transportation systems, amplifying the market's significance in shaping the future of connected cities.
Covered Aspects:
| Report Attribute/Metric | Details |
|---|---|
| Market Size Value In 2023 | USD 4.24 Billion |
| Growth Rate | 18.33% (2024-2032) |
Far Field Speech and Voice Recognition Market Highlights:
Global Far-Field Speech and Voice Recognition Market Overview:
Far-Field Speech and Voice Recognition Market size was valued at USD 4.24 Billion in 2023. The far-field speech and voice recognition industry is projected to grow from USD 5.1 Billion in 2024 to USD 19.75 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 18.33% during the forecast period (2024 - 2032). The growing impact of front-end hardware components on speech and voice recognition accuracy and the technological development of deep-learning-based far-field microphones are the key market drivers enhancing market growth.
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
Far-Field Speech and Voice Recognition Market Trends
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The rising use of deep neural engines and networks to increase speech and voice systems is driving the market growth
Market CAGR for far-field speech and voice recognition is driven by the rising use of deep neural engines and networks to increase speech and voice systems. Superior adoption of emerging technologies, such as IoT, Al, and machine learning, fuels the far-field speech and voice recognition market growth. Voice-based authentications in smartphone applications have increased the demand for voice and speech biometric systems. Moreover, the usage of deep learning and neural networks in applications, such as audio-visual speech recognition, isolated word recognition, speaker adaptation, and digital speaker recognition, is propelling the demand for voice technologies. Key players are focusing on such emerging technological advancements to grow their businesses in the long run. For instance, in April 2022, Google LLC released speech recognition technology to help boost the voice UI. Google's Speech-to-Text API further utilizes a neural sequence-to-sequence model to develop exactness in 23 dialects and 61 supported localities.
Additionally, the evolution of artificial intelligence is creating potential opportunities for the digitalization of numerous industries. The dominance of Al-powered devices indicates that search algorithms and systems have evolved to improve machine learning and its applications in daily life. Google's RankBrain is a crucial example of recognizing phrases and words to learn, understand, and better predict outcomes. It utilizes machine learning and natural language processing technologies to transcript voice searches.
The increasing impact of front-end hardware components necessary to maintain the accuracy of speech and voice recognition programs and enable the inclusion of technological advancements in deep-learning-based far-field microphones are expected to drive the far-field speech and voice recognition market revenue.
The growing use of voice identification with speech intelligence in numerous industrial sectors drives global demand. Several players are merging innovations with speech identification techniques to make it simpler for enterprises to implement systems that augment their interaction centers with an AI-based digital workplace. For instance, in June 2022, ArkX Laboratories unveiled the release of EveryWord Voice Control, which incorporates the Sensory TrulyHandsfree SDK software stack. When combined with the manufacturing-ready EveryWord Audio Front End (AFE) or Voice Control unit, the two businesses' innovative far-field voice acquisition and speech recognition advancements facilitate OEMs to generate tailored wake-words, small to medium-sized command sets (21 dialects), and speaker confirmation concepts for voice interfaces.
Far-Field Speech and Voice Recognition Market Segment Insights:
Far-Field Speech and Voice Recognition Component Insights
The Far-Field Speech and Voice Recognition Market segmentation, based on components, includes microphones, digital signal processors, and software. The microphones segment dominated the market, accounting for 35% of market revenue (1.48 Billion). In developing economies, category growth is driven by the ongoing technological evolutions in the field of extended reality and the Internet of Things (IoT). However, the digital signal processor is the fastest-growing category due to its cost benefits; digital signal processing has grown as the leading technology for developing high-performance communication systems.
Far-Field Speech and Voice Recognition Microphone Solution Insights
The Far-Field Speech and Voice Recognition Market segmentation, based on microphone solutions, includes signal microphones, linear arrays, and circular arrays. The signal microphones category generated the most income due to the growing adoption of AI and voice assistance technologies across end-user verticals. However, linear arrays are the fastest-growing category, as linear array processing algorithms are designed for signal enhancement to reduce the distortion in the speech waveform prior to feature extraction and recognition.
Figure 1: Far-Field Speech and Voice Recognition Market, by Microphone Solution, 2022 & 2032 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
Far-Field Speech and Voice Recognition Application Insights
The Far-Field Speech and Voice Recognition Market segmentation, based on application, includes in-vehicle infotainment systems, smart TV, smart speakers, robotics, smart thermostats, smart lighting, and others. The smart speakers category generated the most income (70.4%). This is due to the evolving demand for smart speakers among middle-class customers in developing countries. However, smart TV is the fastest-growing category due to the deployment of far-field speech and voice recognition in smart home devices.
Far-Field Speech and Voice Recognition Regional Insights
By region, the study provides market insights into North America, Europe, Asia-Pacific, and the Rest of the World. The North American far-field speech and voice recognition market will dominate, owing to the existence of early adopters and key smart speaker providers. The willingness of consumers to accept and use new technologies has also encouraged manufacturers to develop new and advanced products that will boost market growth in this region. Further, the US far-field speech and voice recognition market held the largest market share, and the Canadian far-field speech and voice recognition market was the fastest-growing market in the North American region.
Further, the major countries studied in the market report are The US, Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Figure 2: Far-Field Speech and Voice Recognition Market SHARE BY REGION 2022 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
Europe's far-field speech and voice recognition market accounts for the second-largest market share due to the increasing deployment of far-field voice recognition systems in smart home devices, and in-vehicle infotainment systems provide major growth opportunities in this region. Further, the German far-field speech and voice recognition market held the largest market share, and the UK far-field speech and voice recognition market was the fastest-growing market in the European region.
The Asia-Pacific far-field speech and voice recognition market is expected to grow at the fastest CAGR from 2023 to 2032. This is due to a surge in the adoption of AI technologies across various industries in this region. Moreover, China’s far-field speech and voice recognition market held the largest market share, and the Indian far-field speech and voice recognition market was the fastest-growing market in the Asia-Pacific region.
Far-Field Speech and Voice Recognition Key Market Players & Competitive Insights
Leading market players are investing heavily in research and development to expand their product lines, which will help the far-field speech and voice recognition market grow even more. Market participants are also undertaking various strategic activities to expand their global footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. To expand and survive in a more competitive and rising market climate, the far-field speech and voice recognition industry must offer cost-effective items.
Manufacturing locally to minimize operational costs is one of the key business tactics manufacturers use in the global far-field speech and voice recognition industry to benefit clients and increase the market sector. Major players in the far-field speech and voice recognition market, including Synaptics Incorporated, Texas Incorporated Instruments, Andrea Electronics, Cirrus Logic, Inc., Microsemi, DSP GROUP, Qualcomm Technologies, Inc, Sensory Inc., and others, are attempting to increase market demand by investing in research and development operations.
iFlytek Co Ltd is an information technology company that develops speech technology, software, and chip products and services. The company's product portfolio comprises Jarvisen translator, Jingle Magic, a global Chinese learning platform, and an artificial intelligence outbound system. iFlytek provides payment and stolen card inquiries, self-study solutions, and internet system infrastructure solutions. It conducts technological research in speech and languages, machine learning, natural language understanding, machine reasoning, and adaptive learning. In August 2022, iFlytek launched multilingual Al subtitling solutions and translation and transcription services for live and video streams. The solution enabled machine translation between Chinese and 168 languages and speech and voice recognition for 70 languages.
RWS Holdings PLC provides intellectual property support services based in the UK. The company's service offerings include life science language services, intellectual property services, consulting services, infrastructure, cloud services, the Internet of Things (IoT), and data services for AI. RWS caters to manufacturing, energy, chemical, media, retail and e-commerce, telecom, managed care, insurance, legal, finance, marketing communications, medical device documentation, automotive and training, and e-learning industries. In June 2021, RWS, the world's leading supplier of technology-enabled language, content management, and intellectual property services, announced a new partnership and the launch of a live subtitling and captioning solution for online meetings and events with CEDAT85, the innovators in speech recognition technology.
Key Companies in the Far-Field Speech and Voice Recognition market include
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Synaptics Inc. (US)
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Texas Instruments Inc. (US)
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Qualcomm Inc. (US)
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Sensory Inc. (US)
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STMicroelectronics NV (Switzerland)
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Harman International Industries, Inc. (US)
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Andrea Electronics Corporation (US)
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Cirrus Logic Inc. (US),
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Microsemi Corporation (US)
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DSP Group, Inc. (US)
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Knowles Corporation (US)
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Meeami Technologies, Inc. (US)
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Alango Technologies Ltd (Israel)
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Fortemedia, Inc. (US)
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VOCAL Technologies, Ltd (US)
Far-Field Speech and Voice Recognition Industry Developments
September 2021: IBM Corporation launched additional automation and Al capabilities in IBM Watson Assistant to make it easy for firms to create great customer experiences. This launch includes a new partnership with IntelePeer to test a voice agent. IntelePeer is a Communications Platform-as-a-Service provider.
June 2021: Voiceitt has launched a new app on the Apple App Store. Individuals, institutions, nursing homes, and organizations can all download the software for free to enable folks with speech difficulties to navigate their environments and manage smart home devices with their voices.
Far-Field Speech and Voice Recognition Market Segmentation:
Far-Field Speech and Voice Recognition Component Outlook
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Microphones
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Digital Signal Processor
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Software
Far-Field Speech and Voice Recognition Microphone Solution Outlook
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Signal Microphone
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Linear Arrays
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Circular Arrays
Far-Field Speech and Voice Recognition Application Outlook
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In-Vehicle Infotainment Systems
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Smart TV
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Smart Speakers
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Robotics
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Smart Thermostats
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Smart Lighting
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Others
Far-Field Speech and Voice Recognition Regional Outlook
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North America
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US
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Canada
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Europe
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Germany
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France
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UK
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Italy
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Spain
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Rest of Europe
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Asia-Pacific
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China
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Japan
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India
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Australia
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South Korea
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Australia
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Rest of Asia-Pacific
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Rest of the World
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Middle East
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Africa
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Latin America
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