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市場調查報告書
商品編碼
1462545
汽車語音辨識市場規模- 按組件(硬體、軟體)、按技術(嵌入式、基於雲端、混合)、按車輛(ICE、電動)、按應用(導航、氣候控制、資訊娛樂)、按銷售管道和預測, 2024 - 2032Automotive Voice Recognition Market Size - By Component (Hardware, Software), By Technology (Embedded, Cloud-based, Hybrid), By Vehicle (ICE, Electric), By Application (Navigation, Climate Control, Infotainment), By Sales Channel & Forecast, 2024 - 2032 |
由於人工智慧和自然語言處理的進步,以及對駕駛員安全的高度重視,2024 年至 2032 年全球汽車語音辨識市場的CAGR將達到 12%。借助尖端技術,語音辨識系統變得更加準確和靈敏,從而增強了使用者體驗。對安全的關注鼓勵採用免持交互,減少駕駛分心。隨著汽車製造商優先考慮更安全的駕駛環境,對車輛語音控制功能的需求將會激增,從而鞏固人工智慧在塑造汽車產業未來方面的關鍵作用。
例如,2024年1月,Sensory推出了名為Sensory Automotive的新型汽車人工智慧平台,該平台結合了尖端的語音和臉部人工智慧技術。該平台支援連續、先進的語音轉文字功能和臉部分析,以評估視線和分心駕駛。
汽車語音辨識產業按組件、技術、車輛、應用、銷售通路和地區分類。
由於其在現代駕駛體驗中不可或缺的作用,到 2032 年,導航細分市場將經歷大幅成長。隨著智慧汽車的興起,駕駛者越來越依賴語音命令來實現無縫導航。該細分市場的成長是由即時方向、交通更新和免持操作的需求所推動的。由於安全仍然是重中之重,語音控制導航系統提供的便利性和效率使其成為汽車產業未來的重要組成部分。
由於其與車輛系統的無縫整合,到 2032 年,嵌入式細分市場將顯著成長。該技術為駕駛員提供免持且直覺的互動體驗,增強安全性和便利性。隨著汽車製造商越來越注重將語音辨識直接嵌入到車輛中,這一領域將經歷顯著成長。對具有先進功能的連網汽車的需求進一步推動了這一趨勢,鞏固了嵌入式領域作為塑造汽車語音識別未來的關鍵參與者的地位。
由於快速的技術進步和該地區龐大的汽車工業,亞太地區汽車語音辨識市場佔有率將在 2024 年至 2032 年間實現顯著的複合CAGR。對連網車輛的需求不斷成長以及對駕駛員安全的重視等因素促成了這一成長。中國、日本和韓國等國家在將語音辨識系統整合到車輛中處於領先地位。隨著消費者偏好轉向無縫、免持交互,亞太地區將成為汽車語音辨識產業的重要貢獻者。
Global Automotive Voice Recognition Market will record a 12% CAGR from 2024 to 2032, owing to advancements in AI and natural language processing, in line with a heightened emphasis on driver safety. With cutting-edge technologies, voice recognition systems are becoming more accurate and responsive, enhancing the user experience. The focus on safety encourages the adoption of hands-free interaction, reducing driver distractions. As automakers prioritize safer driving environments, the demand for voice-controlled features in vehicles will surge, solidifying AI's pivotal role in shaping the automotive industry's future.
For instance, in January 2024, Sensory introduced its new automotive AI platform, named Sensory Automotive, which combines cutting-edge voice and facial AI technologies. This platform enables continuous, advanced speech-to-text capabilities and facial analytics for evaluating gaze and distracted driving.
The automotive voice recognition industry is divided based on component, technology, vehicle, application, sales channel, and region.
The navigation segment will experience a substantial upswing by 2032, propelled by its integral role in modern driving experiences. With the rise of smart vehicles, drivers increasingly rely on voice commands for seamless navigation. This segment growth is propelled by the demand for real-time directions, traffic updates, and hands-free operation. As safety remains a top priority, the convenience and efficiency offered by voice-controlled navigation systems make them a crucial component of the automotive industry's future.
The embedded segment will observe a noteworthy upsurge by 2032 due to its seamless integration within vehicle systems. This technology offers drivers a hands-free and intuitive interaction experience, enhancing safety and convenience. With automakers increasingly focusing on embedding voice recognition directly into their vehicles, this segment will experience significant growth. The demand for connected cars with advanced features further boosts this trend, solidifying the embedded segment's position as a key player in shaping the future of automotive voice recognition.
Asia Pacific automotive voice recognition market share will secure a remarkable CAGR between 2024 and 2032, attributed to rapid technological advancements and the region's substantial automotive industry. Factors such as the increasing demand for connected vehicles and the emphasis on driver safety contribute to this growth. Countries like China, Japan, and South Korea are at the forefront of integrating voice recognition systems into their vehicles. As consumer preferences shift towards seamless, hands-free interaction, Asia Pacific will stand as a notable contributor to the automotive voice recognition industry.