市場調查報告書
商品編碼
1364057
全球自動語音辨識應用程式 (ASR) 市場 (2016-2030):按類型、應用程式、最終用戶和地區劃分的機會和預測Automatic Speech Recognition Apps Market Assessment, By Type, By Application, By End-user, By Region, Opportunities and Forecast, 2016-2030F |
Siri、Google Assistant 和 Amazon Alexa 等語音控制虛擬助理的激增對 ASR 技術產生了強烈需求。 消費者使用這些助手執行各種任務,從資訊檢索到家庭自動化。 語音助理通常支援將語音命令與觸控和視覺輸入結合的多模式互動。 因此,ASR 技術必須與其他使用者介面配合使用,以提供一致的使用者體驗。 同時,ASR 技術正在整合到智慧型手機和平板電腦中,支援語音命令、語音搜尋和聽寫。 在行動裝置上使用語音介面的便利性正在推動 ASR 應用程式的採用。
物聯網、人工智慧和機器學習等新興技術的大力採用正在推動語音和說話者識別市場的成長。 智慧型手機應用程式中越來越多地使用基於語音的身份驗證正在推動對語音和說話者生物識別系統的需求。 此外,深度學習和神經網路在視聽語音識別、語言識別、說話者適應和數位說話者識別等領域的應用正在推動對語音相關技術的需求。 行業領導者正在優先考慮這些新技術進步,作為其長期業務成長策略的一部分。
預計在預測期內,北美將保持其在語音和說話者識別市場的領先地位。 這是由於該地區有大公司的存在及其對市場發展的重大貢獻。 此外,支援語音的智慧型手機應用程式的日益普及,以及行動銀行、消費性電子產品和物聯網設備等領域中語音和說話人識別的日益使用,也將推動北美市場的發展。
本報告調查了全球自動語音辨識應用(ASR)市場,並提供了市場定義和概述、市場規模趨勢和預測、各個細分市場和地區的詳細分析、行業結構和市場成長。影響因素分析、案例主要公司的研究、競爭格局和概況。
Global automatic speech recognition apps market has experienced significant growth in recent years and is expected to maintain a strong pace of expansion in the coming years. With projected revenue of approximately USD 1.9 billion in 2022, the market is forecasted to reach USD 6.7 billion by 2030, displaying a robust CAGR of 16.8% from 2023 to 2030.
The automatic speech recognition (ASR) apps market is a dynamic and rapidly evolving sector within the broader speech and natural language processing technology field. ASR technology enables machines and devices to convert spoken language have to written text and has numerous applications across various industries. ASR apps convert speech into text, which can be used for various purposes, such as transcribing lectures, dictating emails, and controlling smart devices. ASR apps are becoming increasingly accurate and affordable, making them more accessible to a wider range of users. There has been a growing demand for ASR technology driven by the proliferation of voice-controlled devices, the need for transcription services, and the integration of voice assistants in various applications. ASR apps have found widespread use in transcription services across industries. Healthcare, legal, journalism professionals, and content creation often rely on ASR for quick and accurate transcriptions.
The proliferation of voice-controlled virtual assistants like Siri, Google Assistant, and Amazon Alexa has created a strong demand for ASR technology. Consumers use these assistants for tasks ranging from information retrieval to home automation. Voice assistants often support multi-modal interactions, combining voice commands with touch and visual inputs. This requires ASR technology to work with other user interfaces to provide a cohesive user experience. Parallelly, ASR technology is integrated into smartphones and tablets, enabling voice commands, voice search, and dictation. The convenience of using voice interfaces on mobile devices has boosted the adoption of ASR applications.
For example, in April 2022, Google LLC launched speech recognition technology to enhance voice user interfaces' performance. Google's Speech-to-Text API leverages a neural sequence-to-sequence model to improve accuracy across 23 languages and 61 supported regions.
The robust adoption of emerging technologies, including IoT, artificial intelligence (AI), and machine learning, is a driving force behind the growth of the speech and voice recognition market. The increased use of voice-based authentication in smartphone apps has spurred the demand for voice and speech biometric systems. Furthermore, the applications of deep learning and neural networks in areas such as audio-visual speech recognition, isolated word recognition, speaker adaptation, and digital speaker recognition are driving the need for voice-related technologies. Major industry players prioritize these emerging technological advancements as part of their long-term business growth strategies.
For example, the "Hey Siri" detector employs a Deep Neural Network (DNN) to transform the acoustic characteristics of human voice in real-time into a probability distribution across speech sounds. Subsequently, it employs a temporal integration method to calculate a confidence score, indicating the likelihood that the spoken phrase is "Hey Siri." When this score reaches a significant threshold, Siri becomes active and responsive.
North America is anticipated to maintain its leading position in the speech and voice recognition market during the projected period. It can be attributed to the presence of key market players like Amazon Web Services, Inc., IBM, Google LLC, and Microsoft Corporation, and others, which significantly contribute to market advancement. Furthermore, the rising prevalence of voice-enabled smartphone applications and the expanding utilization of voice and speech recognition across sectors, such as mobile banking, consumer electronics, and Internet of Things (IoT) devices, is poised to drive the North America market. For example, according to the 2021 report from Voicebot.AI, approximately 45.2 million adults in the United States utilized voice search for shopping a product at least once.
As voice technology continues to advance, developers and engineers are actively addressing challenges associated with speech software. These challenges often disrupt the seamless performance of speech and voice recognition systems and encompass issues such as fluency, punctuation, accents, technical terminology, background noise, and speaker identification. One of the most significant hurdles is achieving high accuracy levels for languages other than US English. Voice-based technologies are poised to deliver increasingly personalized experiences as they become more adept at distinguishing while recognizing individual voices. Nevertheless, concern regarding the privacy of voice data continues to pose a threat, impeding market growth.
According to the Speechmatics Voice report from 2021, concerns related to accents and dialects are accounted for approximately 30.4% and 21.2%, respectively.
The surge in remote work, office closures, and lockdown measures, has created a substantial opportunity for providers of speech and voice recognition software. The COVID-19 pandemic accelerated the development of various technologies to enhance safety and facilitate social distancing, ranging from telemedicine to contactless payments. Speech and voice recognition software played a crucial role during the pandemic. For example, Apple's Siri assisted patients by recommending telehealth apps is based on CDC COVID-19 assessments. Furthermore, conversational AI and voice technology made healthcare services accessible to quarantined individuals at home during the pandemic. Additionally, leading market players invested significantly in voice interfaces, including offerings like Cisco WebEx Assistant, Alexa for Business, Microsoft Cortana, and Google Assistant.
For instance, in June 2020, Cisco expanded WebEx Assistant, to include WebEx Rooms. This extended voice assistant simplifies the process of connecting WebEx Rooms devices through voice commands, making it easier to join meetings with just a few spoken words. Furthermore, it facilitates device and meeting management from any location in the room.
Global automatic speech recognition apps market is witnessing a swift growth trajectory due to the increasing emphasis placed by companies worldwide on establishing advanced digital infrastructure. Furthermore, the market expansion is greatly facilitated by healthcare industry, along with significant investments made by companies to enhance research and development resources, engage in collaboration projects, bolster marketing efforts, and expand distribution networks. These factors collectively contribute to the rapid expansion of the market.
In October 2021, Sensory Inc. introduced a speech recognition system tailored for children. The solution can understand the specific linguistic patterns commonly associated with children's speech. It enables developers of children's toys, applications, wearable devices for kids, and educational technology to implement voice control technology with enhanced accuracy and security.
All segments will be provided for all regions and countries covered:
Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.