市場調査レポート
商品コード
1244330
音声テキスト変換APIの世界市場 - 市場規模、シェア、成長分析:展開別、用途別、業界別、産業予測(2022年~2028年)Global Speech-to-text API Market Size, Share, Growth Analysis, By Deployment(Cloud Based, On premise), By Application(Content Transcription, Customer Management), By Industry Vertical(BFSI, Healthcare) - Industry Forecast 2022-2028 |
音声テキスト変換APIの世界市場 - 市場規模、シェア、成長分析:展開別、用途別、業界別、産業予測(2022年~2028年) |
出版日: 2022年11月29日
発行: SkyQuest
ページ情報: 英文 165 Pages
納期: 3~5営業日
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世界の音声テキスト変換APIの市場規模は、2021年は23億米ドルで、2022年~2028年の予測期間中に19%のCAGRで成長し、2028年には56億米ドルに達すると予測されています。市場の成長を後押しする主な要因には、幅広い分野で音声認識技術の採用が進んでいること、ディクテーション・ソフトウェアの使用率の上昇、デジタル音声アシスタントの人気、オーディオ・ビデオ情報量の増加などが挙げられます。
当レポートでは、世界の音声テキスト変換API市場を調査しており、市場の概要、市場規模や予測、促進要因・抑制要因、展開別・用途別・業界別・地域別の分析など包括的な情報を提供しています。
Speech-to-Text API Market size was valued at USD 2.3 billion in 2021, and it is predicted to reach USD 5.6 billion by 2028. The market is expected to grow at a CAGR of 19% during the forecast period (2022-2028).
The market for application programming interfaces (APIs) that can convert spoken language into text format is described as "global speech-to-text API market". Speech-to-text APIs are used to convert audio and video content into searchable and editable text format in a variety of industries, such as healthcare, legal, media, and education.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Speech-to-Text API market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined by using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Segments covered in this report
The global speech-to-text API market is segmented based on product type, application, and region. Based on deployment Speech-to-Text API Market is categorized into cloud based, on- premise. Based on application Speech-to-Text API Market is categorized into: content transcription, customer management, risk and compliance management, fraud detection and prevention, others. On the basis of industry vertical, Speech-to-Text API Market is segmented into BFSI, healthcare, retail, IT and telecom, media and entertainment, retail and E-commerce, travel and hospitality, and others. Based on region Speech-to-Text API Market is categorized into: North America, Europe, Asia-Pacific, South America, and MEA.
Driver
The increasing adoption of speech recognition technology across a wide range of sectors is one of the major factors driving the global speech-to-text API market. The demand for speech-to-text APIs is being driven by the rising use of dictation software in offices and the popularity of digital voice assistants like Siri and Alexa. Additionally, the demand for speech-to-text APIs is being driven by the increasing amount of audio and video information being produced across numerous industries.
Restraint
The accuracy of the transcription that's what drives the global speech-to-text API market. With recent significant advancements in speech recognition technology, transcription errors can still occur and it may prohibit some industries from implementing it. A significant barrier to the industry is also the lack of standardisation in speech-to-text APIs and the compatibility with different languages and accents.
Market Trends
The use of machine learning and artificial intelligence technologies to increase transcription accuracy is one of the key trends in the global speech-to-text API industry. More accurate transcriptions result from these technologies' ability to learn and adjust to various languages, accents, and dialects. Additionally, the popularity of subscription-based models, which provide customers with more flexibility and scalability, is being fueled by the trend towards cloud-based speech-to-text APIs. Also, a major market trend is the usage of speech-to-text APIs in the healthcare industry for clinical documentation and medical transcription.