文本转语音技术行业研究报告（附行业政策、产业链全景分析、竞争格局及发展趋势预测）

Core Insights - The text-to-speech (TTS) technology has evolved significantly, transitioning from mechanical simulations to intelligent systems that generate near-human-level natural speech [4][7][12] - The market size for China's text-to-speech technology industry is projected to reach 18.76 billion yuan in 2024, reflecting a year-on-year growth of 22.77% [4][7][12] - The industry is characterized by a landscape where international companies lead in technology while domestic firms focus on specific applications, particularly in the Chinese language context [7][12] Industry Overview - TTS technology converts text into speech using computer programs and algorithms, enabling users to hear content without manual reading [4][10] - The industry chain consists of upstream components providing hardware and algorithms, midstream focusing on core technology, and downstream applications across various sectors such as education, finance, healthcare, and media [6][10] Market Trends - The integration of large models and deep learning is expected to enhance TTS technology from mere voice output to expressive communication, focusing on human-like quality and adaptability to longer contexts [8] - Multi-modal integration will become a key development path, allowing TTS to collaborate with text, image, and video generation technologies to create a comprehensive content production ecosystem [8] - As the industry expands, regulatory policies and self-discipline within the industry will strengthen, promoting standardization and normalization [8] Competitive Landscape - The competitive environment features international leaders like Google and Microsoft in high-end markets, while domestic companies such as iFlytek, Baidu, and Tencent excel in localized applications [7][15] - Future competition will center around edge computing deployment, multi-modal interaction, and ethical safety technologies, with a need for domestic firms to accelerate chip localization and open-source community development [7][12]