语音和语音识别市场份额，大小，趋势，行业分析报告组件（硬件，软件，服务）;通过接口（基于AI的，非AI基于）;通过最终用户（汽车，医疗保健，BFSI，消费者，零乐动娱乐官网售，政府，家庭安全和自动化，其他）;按地区，细分和预测，2019年 - 2026年
- Published Date: Jun 2019
- 页数：112
- Format: PDF
- 报告ID：PM1407
- Base Year: 2018
- 历史Data: 2015-2017
Report Summary
全球声音和语音识别市场规模在2018年的82.3亿美元估价，预计预测期内的CAGR成长为18.3％。语音或语音识别是程序接收，解释和执行说出命令的能力。这些解决方案是完美的填充剂，可以在消费者和技术之间填写语音命令，以帮助提醒和简单的任务。语音识别操作设备，在没有键盘公司的指控下执行命令。从安全性的角度来看，对全球市场驾驶增长的语音识别解决方案有不可避免的需求。
A few applications of voice and speech recognition include automobiles, smart phones and intelligent virtual assistants such as Amazon’s Alexa, Apple’s Siri and Microsoft’s Cortana. The different type voice recognition software solutions include speaker dependent solution, speaker independent solution, discrete speech recognition, continuous speech recognition and natural language recognition.
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An increasing demand for voice and speech recognition solutions came from automobiles sector and increasing modernization of vehicles drove market growth. The idea being voice recognition solutions decreases human errors while improving production efficiency supplementing growth of market. It has been anticipated that 50% of searches are going to be voice searches by 2020. These systems increase scale of efficiency because while 120 words can be spoken in a minute, only 60 words can be typed on an average in the same time.
越来越多的数据泄露，如安全攻击，对语音识别系统具有显着的信用，这些系统是更可靠的认证方法。越来越多的安全问题驱动市场。在印度恶魔化之后，目前的数字交易增加了400-1000％。越来越多的在线交易将在更好的认证服务中增加增长，例如语音和语音识别市场。许多主要公司如谷歌，微软报告了8％的错误率，Apple也在报告语音识别中的较小错误率，这表明未来市场的增长。
语音和语音识别市场范围
By Component |
通过界面 |
通过结束 - 用户 |
By Region |
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Component Outlook
基于组件，接口，最终用户和区域进行分割全局语音和语音识别市场。基于组件，市场分段为硬件，软件和服务。硬件段占市场上的最高份额。
Interface Outlook
接口段分为基于AI和基于非AI的系统。基于非AI的系统预计将在整个预测期间支配市场。由于技术改善，并且在更广泛的应用范围内，预计基于AI的段将以非常快速的速度增长。
最终用户Outlook
An increasing run for the solutions also came from biometric systems for user authentication, thereby boosting market growth. There also came a demand from mobile banking applications and electronic health record (EHR) applications which support growth of speech and voice recognition market. The factors that helped the cause of these solutions also came from adoption of voice assistive systems at homes and commercial enterprises. The factors that influenced demand were greater accuracy and precision, time management and reduced human errors. Emerging economies had a driving market for their application in service robots and technological advancements as factors expected to provide numerous growth opportunities in coming years.
这些身份认证是一种更安全的模式，如在澳大利亚的ANZ等银行中实现，其中包含ID LED事务。这是因为在线交易在网上购物中变得非常受欢迎购买各种产品。此模式可缓解在付款过程中发生的安全漏洞和在线盗窃的客户。随着手机的增长和互联网的渗透，通过手机的移动银行和交易卷已经增加，这提供了更好的认证服务的激励。超过60％的欺诈案件是移动欺诈账户揭示了一项研究。
Regional Outlook
North America accounted for largest share in market owing to striving need for automation in customer service and integration of virtual assistants with smart home appliances boost market growth. An overwhelming need to streamline enterprise communication aspects that improves productivity further helps support market growth. The growing high penetration of mobile devices and rising demand for voice recognition from BFSI and healthcare sectors is expected to support market growth during forecast period. Voice recognition has other supporting factors that comprise technological strides, need for customer management, a hastening demand for mobility, conversion to smart homes and a compulsive requirement to improve workforce productivity.
China is the world’s largest populace and is expected to have high adoption rates for voice recognition technologies. The number of mobile transactions has reportedly increased by 28% which makes it ideal for implementation of this software.
竞争格局
Market players are introducing new products in the market to cater to a growing customer base and players are venturing into new markets to expand customer portal and make market presence strong. The leading players in the market include Google, Inc., Baidu, Inc., Facebook, Inc., Amazon.com, Inc., Advanced Voice Recognition Systems, Inc., Apple, Inc., IBM Corporation, Microsoft Corporation, Brianasoft, VoiceBox Technologies, Fulcrum Biometrics, Neurotechnology, M2SYS Biometrics, Sensory Inc., Voice Base, Inc., Agnitio Corp., Auraya Systems, VoiceTrust and Nuance Communications.
