Global Speech-to-text API Market Analysis 2024: Size Forecast and Growth Prospects

The speech-to-text api global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.

Speech-to-text API Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.

Market Size –
The speech-to-text API market size has grown rapidly in recent years. It will grow from $3.24 billion in 2023 to $3.87 billion in 2024 at a compound annual growth rate (CAGR) of 19.2%. The growth in the historic period can be attributed to increased demand for voice-activated devices, growing accessibility and inclusivity initiatives, rise in remote communication needs, enhanced user experience, , expansion of multilingual support, rise in mobile application development, and adoption in healthcare and legal transcription.

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.

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Scope Of Speech-to-text API Market
The Business Research Company’s reports encompass a wide range of information, including:

1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.

2. Drivers: Examination of the key factors propelling market growth.

3. Trends: Identification of emerging trends and patterns shaping the market landscape.

4. Key Segments: Breakdown of the market into its primary segments and their respective performance.

5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.

6. Macro Economic Factors: Assessment of broader economic elements impacting the market.

Speech-to-text API Market Overview

Market Drivers –
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.

Market Trends –
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 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

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Regional Insights –
North America was the largest region in the speech-to-text API market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the speech-to-text api market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Key Companies –
Google LLC, Microsoft Corporation, Meta Platforms Inc, Tencent AI Lab, Amazon Web Services Inc., IBM Corporation, Baidu Speech Recognition, Twilio, iFLYTEK, Rev.com Inc., Verint System Inc., Vonage API, Hugging Face, Speechmatics Ltd., Alibaba Cloud Speech-to-Text, Deepgram, Voicecloud, GL Communications Inc, Kasisto, VoiceBase Inc., Amberscript Global B.V., AssemblyAI Inc., Vocapia Research SAS, Speechify, Wit.ai, Mozilla DeepSpeech, CMU Sphinx, PaddlePaddle

Table of Contents
1. Executive Summary
2. Speech-to-text API Market Report Structure
3. Speech-to-text API Market Trends And Strategies
4. Speech-to-text API Market – Macro Economic Scenario
5. Speech-to-text API Market Size And Growth
…..
27. Speech-to-text API Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix

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