Technological Advancements are Driving Text to Speech Market

The global text-to-speech market is anticipated to grow at a significant CAGR of 15.2% during the forecast period (2024-2031). The market growth is driven by the growing demand for portable handheld devices, increased government spending on education for the differently-abled, and rising dependence of the growing elderly population on technology. However, the lack of pronunciation and prosody of naturally occurring speech is anticipated to restrain the market growth during the forecast period. Moreover, the significant increase in online learning programs across the globe has increased the demand for software offering proper comprehension, presenting an opportunity for market growth.

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The global text-to-speech market is segmented by type (solution, service), by vertical (automotive & transportation, enterprise, consumer electronics, healthcare, BFSI, education, retail, others (entertainment & government)), and geography (North America, Europe, Asia-Pacific, and the Rest of the World).

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Market Dynamics

· The consumer electronics segment is anticipated to hold the largest market share during the forecast period. The high usage of smartphones for personal assistance apps and navigation is contributing to the segmental growth.

· North America is anticipated to hold a significant market share owing to the technological advancements in the US. The growth of the regional market is backed by the higher adoption of technology by the geriatric population. The adoption of technology in the education industry is additionally boosting the regional market growth.

· Asia-Pacific is anticipated to hold a considerable market share owing to the growing spending of emerging economies on education.

The major players in the global text-to-speech market include Amazon.com, Inc., Apifonica, Cereproc Ltd., Charmtech Labs Llc, IBM Corp., Microsoft Corp., and Naturalsoft Ltd., among others. The players are contributing to the market growth by adopting different growth strategies such as investment in technological advancement, mergers & acquisitions, partnership, and collaboration among others.

Recent Developments

· In November 2024, Murf AI launched MultiNative. The capability allows its voice library to seamlessly switch between multiple languages within or across sentences.

· In July 2024, the National Institute of Information and Communications Technology developed a 21-language, fast and high-fidelity neural text-to-speech technology. The model can synthesize one second of speech at high speed in only 0.1 seconds using a single CPU core. The CPU core is about eight times faster than the conventional methods. The model can realize fast synthesis with a latency of 0.5 seconds on a smartphone without a network connection. The technology is expected to be introduced into speech applications, including multilingual speech translation and car navigation.

· In February 2024, OpenAI announced a new text-to-speech (TTS) model featuring 6 preset voices to choose from, in their standard format and their respective high-definition (HD) equivalents. The model will be released on the Azure platform. The service can be accessed through Azure OpenAI and Azure AI Speech services. The standard voice models are optimized for real-time use cases, and the product features HD equivalents are optimized for quality.

· In June 2023, Meta launched generative AI for speech. The Voicebox can perform speech generation tasks including editing, sampling, and stylizing. The technology in the future will help creators easily edit audio tracks, allow visually impaired people to hear written messages from friends in their voices, and enable people to speak any foreign language in their voice.

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