AI Voice Generator Market - Size, Share, Industry Trends, and Forecasts (2025 - 2032)

By Deployment Type:

Based on deployment type, the market is segmented into on-premise and cloud.

Trends in the deployment type:

• The adoption of on-premise deployment is primarily driven by factors including higher security and privacy, and more control over server hardware.
• Factors including the rapid deployment, ease of integration, and increasing consumer preference for flexible, scalable, reliable, and cost-effective AI-based voice generator platforms are driving the growth of the cloud deployment segment.

On-premise segment accounted for a substantial revenue share in the overall AI voice generator market share in 2024.

• On-premise deployment of AI-based voice generator involves hosting the related hardware and software within a company's own infrastructure, rather than relying on a cloud-based service.
• On-premise deployment offers benefits such as enhanced data privacy, customization, and more control over server hardware.
• For instance, Resemble AI offers AI voice generation platform with an on-premise deployment option in its solution offerings. The on-premise platform supports high-volume voice workloads without incremental costs and enables users to scale up their existing infrastructure as per the requirement.
• Consequently, the increasing advancements related to on-premise AI-based voice generator platforms are driving the AI voice generator market trends.

The cloud segment is anticipated to register the fastest CAGR during the forecast period.

• The cloud-based deployment offers seamless collaboration along with fast and cost-effective access to AI voice generation platform by multiple users, irrespective of the time and location of the user.
• Moreover, cloud-based deployment offers a range of benefits such as rapid implementation, minimal capital expense, ease of utilization and integration, faster processing, and higher scalability, among others.
• For instance, LOVO AI offers cloud-based AI voice generator platform that is integrated with over 500 voices in 100 languages. The platform enables users to create engaging videos with voice for training, marketing, social media, and other related applications.
• Hence, the rising developments related to cloud-based AI voice generation platforms are expected to drive the market during the forecast period.

By Functionality:

Based on functionality, the market is segmented into text-to-speech, voice cloning, and others.

Trends in the functionality:

• Increasing trend in adoption of text-to-speech technology for applications involving video voiceovers, AI assistants, audiobooks, e-learning and training, and podcasts is driving the market growth.
• Rising trend in utilization of AI voice cloning in content creation, gaming, and other applications is driving the growth of the voice cloning segment.

The text-to-speech segment accounted for the largest revenue share of 62.45% in the total AI voice generator market share in 2024.

• Text-to-speech functionality converts written text into spoken audio by using artificial intelligence.
• This technology enables users to create realistic voiceovers, audiobooks, and more, with a wide range of customizable voices and languages.
• Moreover, modern AI-based voice generator leverages deep learning models to produce natural-sounding speech with pitch, emotion, and context awareness.
• Additionally, text-to-speech technology is primarily used in applications involving video voiceovers, e-learning and training, AI assistants, audiobooks, and podcasts, among others.
• For instance, Murf AI offers AI-based voice generator, integrated with text-to-speech model. The platform is capable of generating ultra-realistic audio for professional voiceovers for training videos, podcasts and other related applications.
• Therefore, the increasing advancements associated with text-to-speech technology are driving the AI voice generator market trends.

The voice cloning segment is anticipated to register substantial CAGR during the forecast period.

• AI voice cloning refers to the process of using artificial intelligence to replicate a specific human voice from audio samples.
• AI voice cloning mainly involves analyzing the audio to learn the unique characteristics of the voice, such as pitch, rhythm, and tone, and further using that data to generate synthetic speech that sounds like the original voice.
• Moreover, AI voice cloning helps in creating a digital replica of a voice that can be used to produce new audio content.
• Further, AI voice cloning is used for several applications, including content creation, gaming, and others.
• For instance, ElevenLabs offers an audio AI platform, integrated with voice cloning functionality. The platform offers instant voice cloning and enables users to create voices that sound like them and further use for generating speech in over 70 supported languages.
• Thus, the above factors are expected to boost the AI voice generator market size during the forecast period.

By End Use:

Based on end use, the market is segmented into media & entertainment, education & e-learning, healthcare, advertising & marketing, retail & e-commerce, and others.

Trends in the end use:

• Increasing adoption of AI-based voice generator in the media & entertainment sector to create engaging content, enhance storytelling, and improve accessibility in various media formats is driving the market growth.

• There is a rising trend towards the utilization of AI-based voice generator in the advertising & marketing sector, primarily driven by programmatic voice ads, personalized marketing, and branded virtual assistants, among others.

The media & entertainment segment accounted for the largest revenue share in the overall market in 2024, and it is anticipated to register a substantial CAGR during the forecast period.

• AI-based voice generator plays a vital role in the media & entertainment industry, providing solutions for realistic and customizable voiceovers, character voices, and others.
• AI-based voice generator offers a cost-effective and efficient way to create engaging content, enhance storytelling, and improve accessibility in various media formats.
• Moreover, it is primarily used in several media & entertainment applications involving film and animation, video games, podcasts, audiobooks, social media content creation, and others.
• For instance, Listnr offers AI-based voice generator in its solution offerings, which is designed for use in media & entertainment applications, among others. The platform offers more than 1,000 different voices in more than 142 languages, including a voice cloning capabilities. The platform supports a wide range of content creation requirements involving social media content, audiobooks, gaming, podcasts, and others.
• According to the AI voice generator market analysis, the rising adoption of AI-based voice generator for media & entertainment applications is driving the market demand.