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市场调查报告书
商品编码
1669155
市场占有率与预测:语音分析,2023~2028年,世界规模(2份报告套装)Market Share and Forecast: Speech Analytics, 2023-2028, Worldwide (Bundle of Two Reports) |
QKS 集团透露,语音分析市场预计到 2028 年将实现 32.30% 的复合年增长率。
根据分析语音资料所需的时间,语音分析大致可分为即时语音分析和通话后语音分析。即时语音分析可以在正在进行的语音对话期间进行分析,为代理商提供即时、可操作的数据、趋势和指标,以提高服务品质。它还提供有关客户情绪、语气和模式的洞察,以即时指导代理商改善客户体验。通话后语音分析着重于从已结束的对话中学习,识别关键字并创建个人化的文字分类模型,为未来的客户支援流程和策略提供资讯。采用机器学习演算法和数据的预测分析,企业可以预测客户互动的结果,并从被动策略转变为主动策略,再转变为预防策略。整体联络中心分析统一所有互动资料(包括语音、文字和电子邮件),提供客户旅程的全面 360 度视图,为跨通路优化提供更深入的见解和机会。
QKS 集团透露,到 2028 年,语音分析市场预计将实现 12.54% 的复合年增长率。
在语音分析领域,企业正在利用这项技术从语音通话中提取可操作的数据并获得有价值的见解。此功能涵盖多个客户互动,并无缝整合记录和全通路数据,以更好地了解客户需求并找出客户流失和不满的根本原因。该技术使企业能够进行全面的呼叫评估并执行端到端分析。此外,它还利用分析工具来识别和降低风险,促进代理培训计划,最终提高客户参与过程的整体有效性。
This product includes two reports: Market Share and Market Forecast.
QKS Group Reveals that Speech Analytics Market is Projected to Register a CAGR of 32.30% by 2028.
Speech analytics can be broadly categorized into real-time speech analytics and post-call speech analytics based on the time required for audio data analysis. Real-time speech analytics enables analysis during ongoing voice conversations, providing agents with instant actionable data, trends, and metrics to enhance service quality. It also offers insights into customer sentiment, tone, and patterns, guiding agents in real time to improve the customer experience. Post-call speech analytics focuses on learning from concluded conversations, recognizing keywords, and creating personalized text categorization models to inform future customer support processes and strategies. The adoption of predictive analytics using ML algorithms and data enables businesses to forecast outcomes in customer interactions, transcending from reactive to proactive and preventative strategies. Holistic contact center analytics consolidates all interaction data, including voice, text, and email, and provides a comprehensive 360-degree view of customer journeys, offering deeper insights and opportunities for cross-channel optimization.
Quadrant Knowledge Solutions defines speech analytics as a technology that analyzes customer conversations from live or recorded audio data to derive deep insights, trends, and metrics from each conversation. It uses AI technologies such as NLP, speech recognition, and transcription to evaluate agent performance, assess customer experience, and monitor organization-wide strengths and shortcomings in every voice interaction.
QKS Group Reveals that Speech Analytics Market is Projected to Register a CAGR of 12.54% by 2028.
In the realm of speech analytics, organizations leverage this technology to extract actionable data and gain valuable insights from voice calls. The capability extends to handling a diverse spectrum of customer interactions, seamlessly integrating recorded and omnichannel data to enhance the comprehension of customer needs and discern the underlying causes of customer churn and dissatisfaction. This technology enables organizations to conduct comprehensive call evaluations, allowing for end-to-end analysis. Furthermore, it facilitates agent training initiatives, leveraging analytical tools to identify and mitigate risks, ultimately improving the overall effectiveness of customer engagement processes.
The evolution of speech analytics software, initially known as word detection tools or audio mining software, traces its roots to security applications where words and phrases were tracked. Formerly, the technology processed audio and video files using a large vocabulary recognizer, converting speech into text with a moderate accuracy rate while identifying predefined words or phrases. Recent advancements in phonetics-based technology have exponentially improved the accuracy of speech analytics solutions, offering flexibility in mining words, phrases, names, and sentences not previously listed in dictionary databases.