Speech-To-Text API Market 2024 – By Share, Size, Trend, Demand, Analysis By Top Leading Players And Forecast Till 2033

The Speech-to-text API Global Market Report 2024 by The Business Research Company provides market overview across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).

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According to The Business Research Company’s Speech-to-text API Global Market Report 2024, The speech-to-text API market size is expected to see rapid growth in the next few years. It will grow to $7.66 billion in 2028 at a compound annual growth rate (CAGR) of 18.6%.  The growth in the forecast period can be attributed to proliferation of internet of things (IoT) devices, global expansion of e-learning platforms, increasing demand for multimodal interaction, surge in remote work practices, expansion of real-time language translation, rising adoption in customer service and support. Major trends in the forecast period include Integration with virtual assistants, integration with smart home devices, growth in voice search applications, and advancements in neural networks and AI.

Growing penetration of smart devices is expected to propel the growth of the speech-to-text API market going forward. A smart device is a digital device that is connected to the internet and can execute activities autonomously. Speech-to-text APIs in smart devices provide voice commands for hands-free operation and speech-controlled interactions, improving usability and user satisfaction in applications such as voice-controlled assistants, home automation, and transcription services. For instance, in August 2023, according to a survey of connected homes conducted by the United Kingdom Parliament, a UK-based political body that holds governance, 77% of UK individuals had a minimum of one smart home gadget, such as a smart speaker. Similarly, 25% of the population owns smart watches and wristbands with integrated health monitoring features, and 29% of adults have a smart control and safety gadget like a smart doorbell. Moreover, there will be 24 billion interconnected devices worldwide by 2050. Therefore, the growing penetration of smart devices is driving the speech-to-text API market.

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The speech-to-text api market covered in this report is segmented –

1) By Offering: Solutions, Services

2) By Deployment Mode: Cloud, On-premises

3) By Organization Size: Large Enterprises, Small And Medium-sized Enterprises (SMEs)

4) By Applications: Risk And Compliance Management, Fraud Detection And Prevention, Customer Management, Content Transcription, Contact Centre Management, Subtitle Generation, Other Applications

5) By Vertical: Banking Financial Services And Insurance (BFSI), Information Technology And Telecommunication, Healthcare, Retail And eCommerce, Government And Defense, Media And Entertainment, Travel And Hospitality, Other Verticals

Top Major Players
Google LLC
Microsoft Corporation
Meta Platforms Inc
Tencent AI Lab
Amazon Web Services Inc.

Major companies operating in the speech-to-text API market are focused on advancements in technologies such as speech-to-text models to strengthen their position in the market. A speech-to-text model is a computer program that employs machine learning methods to translate spoken words into written text. For instance, in April 2023, Deepgram, a US-based foundational AI company on a mission to understand human language, launched Deepgram Nova. Deepgram Nova is a sophisticated voice-to-text model with pioneering training over 100 domains and 47 billion tokens, resulting in the most deeply trained automated speech recognition (ASR) model to date. This broad and diversified training has developed a category-defining model that regularly beats every other ASR model across a wide range of datasets. It significantly reduces the word error rate (WER) by 22% and has a 23–78x faster inference time.

The speech-to-text api market report table of contents includes:
1. Executive Summary
2. Speech-To-Text API Market Characteristics
3. Speech-To-Text API Market Trends And Strategies
4. Speech-To-Text API Market – Macro Economic Scenario
5. Global Speech-To-Text API Market Size and Growth
………………………
32. Global Speech-To-Text API Market Competitive Benchmarking
33. Global Speech-To-Text API Market Competitive Dashboard
34. Key Mergers And Acquisitions In The Speech-To-Text API Market
35. Speech-To-Text API Market Future Outlook and Potential Analysis
36. Appendix

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