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市場調査レポート
商品コード
1364057
自動音声認識アプリ (ASR) の世界市場 (2016-2030年):タイプ・用途・エンドユーザー・地域別の機会および予測Automatic Speech Recognition Apps Market Assessment, By Type, By Application, By End-user, By Region, Opportunities and Forecast, 2016-2030F |
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自動音声認識アプリ (ASR) の世界市場 (2016-2030年):タイプ・用途・エンドユーザー・地域別の機会および予測 |
出版日: 2023年10月17日
発行: Market Xcel - Markets and Data
ページ情報: 英文 138 Pages
納期: 3~5営業日
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世界の自動音声認識アプリ (ASR) の市場規模は、2022年の約19億米ドルから、予測期間中は16.8%のCAGRで推移し、2030年には67億米ドルの規模に成長すると予測されています。
Siri、Google Assistant、Amazon Alexaのような音声制御バーチャルアシスタントの普及は、ASR技術に対する強い需要を生み出しました。消費者は、これらのアシスタントを情報検索からホームオートメーションまで幅広いタスクに使用しています。音声アシスタントは、音声コマンドとタッチや視覚入力を組み合わせたマルチモーダルなインタラクションをサポートすることが多いです。このため、ASR技術は、他のユーザーインターフェースと連携して、まとまりのあるユーザー体験を提供する必要があります。並行して、ASR技術はスマートフォンやタブレットに統合され、音声コマンド、音声検索、ディクテーションを可能にしています。モバイル機器で音声インターフェースを使用する利便性が、ASRアプリケーションの採用を後押ししています。
IoT、AI、機械学習などの新興技術の堅調な採用が、音声・話者認識市場の成長の原動力となっています。スマートフォンアプリにおける音声ベースの認証の利用が増加していることが、音声・話者バイオメトリクスシステムの需要に拍車をかけています。さらに、オーディオビジュアル音声認識、言語認識、話者適応、デジタル話者認識などの分野でのディープラーニングやニューラルネットワークの応用が、音声関連技術のニーズを促進しています。業界の大手企業は、長期的な事業成長戦略の一環として、こうした新たな技術の進歩を優先しています。
北米は予測期間中、音声・話者認識市場において主導的地位を維持すると予想されます。これは同地域に大手企業が存在し、市場の発展に大きく貢献していることに起因しています。さらに、音声対応スマートフォンアプリケーションの普及率の上昇や、モバイルバンキング、CE製品、IoTデバイスなどの分野にわたる音声・話者認識の利用の拡大も北米市場を牽引する構えです。
当レポートでは、世界の自動音声認識アプリ (ASR) の市場を調査し、市場の定義と概要、市場規模の推移・予測、各種区分・地域別の詳細分析、産業構造、市場成長への影響因子の分析、ケーススタディ、競合情勢、主要企業のプロファイルなどをまとめています。
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.