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市場調查報告書
商品編碼
1669155
市場佔有率與預測:語音分析,2023~2028年,世界規模(2份報告套裝)Market Share and Forecast: Speech Analytics, 2023-2028, Worldwide (Bundle of Two Reports) |
QKS 集團透露,語音分析市場預計到 2028 年將實現 32.30% 的複合年增長率。
根據分析語音資料所需的時間,語音分析大致可分為即時語音分析和通話後語音分析。即時語音分析可以在正在進行的語音對話期間進行分析,為代理商提供即時、可操作的數據、趨勢和指標,以提高服務品質。它還提供有關客戶情緒、語氣和模式的洞察,以即時指導代理商改善客戶體驗。通話後語音分析著重於從已結束的對話中學習,識別關鍵字並創建個人化的文字分類模型,為未來的客戶支援流程和策略提供資訊。採用機器學習演算法和數據的預測分析,企業可以預測客戶互動的結果,並從被動策略轉變為主動策略,再轉變為預防策略。整體聯絡中心分析統一所有互動資料(包括語音、文字和電子郵件),提供客戶旅程的全面 360 度視圖,為跨通路優化提供更深入的見解和機會。
QKS 集團透露,到 2028 年,語音分析市場預計將實現 12.54% 的複合年增長率。
在語音分析領域,企業正在利用這項技術從語音通話中提取可操作的數據並獲得有價值的見解。此功能涵蓋多個客戶互動,並無縫整合記錄和全通路數據,以更好地了解客戶需求並找出客戶流失和不滿的根本原因。該技術使企業能夠進行全面的呼叫評估並執行端到端分析。此外,它還利用分析工具來識別和降低風險,促進代理培訓計劃,最終提高客戶參與過程的整體有效性。
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.